Aledade Inc.

Develop and implement scalable data engineering solutions and mentor junior engineers. | Senior backend engineer with 3+ years SQL, 4+ years backend development, 2+ years technical leadership, and data engineering experience preferred. | As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. The Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system. We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need. We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company. Primary Duties: • Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: • BS/BTech (or higher) in Computer Science, Engineering or a related field. • 3+ years of experience working with SQL or other database querying language on large multi-table data sets. • 4+ years experience as an engineer building backend applications as part of a cross-functional team. • 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. • 2+ years of experience coaching other engineers. Preferred KSAs: • 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift. • 3+ years of working in backend languages like Python, Java, Node.js etc. • Experience in designing, building and optimizing data pipelines and ETL processes. • Proficiency in working with large datasets and knowledge of data storage technologies. • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis • In-depth knowledge of database systems. • Experience in performance monitoring and optimization of data systems and infrastructure. • Experience building Data pipelines using Kafka or similar stack. • Familiarity with database replication, sharding and other techniques for scalability and high availability of databases. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Familiarity building continuous integration and continuous deployment(CI/CD) pipelines. • Familiarity with security and systems that handle sensitive data. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates.When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC's Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at you have any questions about our privacy practices, please contact [email protected].

Develop and implement scalable data engineering solutions and mentor junior engineers. | Senior backend engineer with 3+ years SQL, 4+ years backend development, 2+ years technical leadership, and data engineering experience preferred. | As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. The Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system. We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need. We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company. Primary Duties: • Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: • BS/BTech (or higher) in Computer Science, Engineering or a related field. • 3+ years of experience working with SQL or other database querying language on large multi-table data sets. • 4+ years experience as an engineer building backend applications as part of a cross-functional team. • 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. • 2+ years of experience coaching other engineers. Preferred KSAs: • 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift. • 3+ years of working in backend languages like Python, Java, Node.js etc. • Experience in designing, building and optimizing data pipelines and ETL processes. • Proficiency in working with large datasets and knowledge of data storage technologies. • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis • In-depth knowledge of database systems. • Experience in performance monitoring and optimization of data systems and infrastructure. • Experience building Data pipelines using Kafka or similar stack. • Familiarity with database replication, sharding and other techniques for scalability and high availability of databases. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Familiarity building continuous integration and continuous deployment(CI/CD) pipelines. • Familiarity with security and systems that handle sensitive data. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates.When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC's Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at you have any questions about our privacy practices, please contact [email protected].

Develop and implement scalable backend solutions, collaborate cross-functionally, and mentor junior engineers. | Requires 3+ years SQL experience, 4+ years backend engineering, 2+ years technical decision-making and mentoring, with preferred data engineering and cloud tech skills. | As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. The Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system. We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need. We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company. Primary Duties: • Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: • BS/BTech (or higher) in Computer Science, Engineering or a related field. • 3+ years of experience working with SQL or other database querying language on large multi-table data sets. • 4+ years experience as an engineer building backend applications as part of a cross-functional team. • 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. • 2+ years of experience coaching other engineers. Preferred KSAs: • 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift. • 3+ years of working in backend languages like Python, Java, Node.js etc. • Experience in designing, building and optimizing data pipelines and ETL processes. • Proficiency in working with large datasets and knowledge of data storage technologies. • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis • In-depth knowledge of database systems. • Experience in performance monitoring and optimization of data systems and infrastructure. • Experience building Data pipelines using Kafka or similar stack. • Familiarity with database replication, sharding and other techniques for scalability and high availability of databases. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Familiarity building continuous integration and continuous deployment(CI/CD) pipelines. • Familiarity with security and systems that handle sensitive data. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates.When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC's Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at you have any questions about our privacy practices, please contact [email protected].

Develop and implement scalable backend data solutions and mentor junior engineers. | Senior backend engineering experience with SQL and mentoring skills, preferably with data engineering and cloud technologies. | As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. The Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system. We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need. We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company. Primary Duties: • Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: • BS/BTech (or higher) in Computer Science, Engineering or a related field. • 3+ years of experience working with SQL or other database querying language on large multi-table data sets. • 4+ years experience as an engineer building backend applications as part of a cross-functional team. • 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. • 2+ years of experience coaching other engineers. Preferred KSAs: • 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift. • 3+ years of working in backend languages like Python, Java, Node.js etc. • Experience in designing, building and optimizing data pipelines and ETL processes. • Proficiency in working with large datasets and knowledge of data storage technologies. • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis • In-depth knowledge of database systems. • Experience in performance monitoring and optimization of data systems and infrastructure. • Experience building Data pipelines using Kafka or similar stack. • Familiarity with database replication, sharding and other techniques for scalability and high availability of databases. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Familiarity building continuous integration and continuous deployment(CI/CD) pipelines. • Familiarity with security and systems that handle sensitive data. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates.When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC's Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at you have any questions about our privacy practices, please contact [email protected].

Develop scalable backend solutions, collaborate cross-functionally, and mentor junior engineers. | Senior backend engineering experience with SQL, mentoring skills, and technical decision-making in cross-functional teams. | As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry. The Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system. We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need. We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company. Primary Duties: • Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: • BS/BTech (or higher) in Computer Science, Engineering or a related field. • 3+ years of experience working with SQL or other database querying language on large multi-table data sets. • 4+ years experience as an engineer building backend applications as part of a cross-functional team. • 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. • 2+ years of experience coaching other engineers. Preferred KSAs: • 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift. • 3+ years of working in backend languages like Python, Java, Node.js etc. • Experience in designing, building and optimizing data pipelines and ETL processes. • Proficiency in working with large datasets and knowledge of data storage technologies. • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis • In-depth knowledge of database systems. • Experience in performance monitoring and optimization of data systems and infrastructure. • Experience building Data pipelines using Kafka or similar stack. • Familiarity with database replication, sharding and other techniques for scalability and high availability of databases. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Familiarity building continuous integration and continuous deployment(CI/CD) pipelines. • Familiarity with security and systems that handle sensitive data. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.Our Commitment to Authenticity. We use Endorsed, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates.When you apply to a job on this site, the personal data contained in your application will be collected by Aledade PBC using Lever, a cloud services provider located in the United States. Lever is engaged by Aledade PBC to help manage its recruitment and hiring processes. For more information about how your personal data will be processed by Aledade PBC and any rights you may have, please review Aledade PBC's Candidate Privacy Notice. By applying for this job, you agree to Aledade's Applicant Privacy Policy available at you have any questions about our privacy practices, please contact [email protected].

Own and extend backend platform services with authentication, integrations, and observability while mentoring and supporting engineering teams. | Requires 5+ years software engineering with backend service ownership, auth models, CI/CD, and experience with AI/LLM tooling and metrics instrumentation. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Own and extend backend platform services including authentication, integrations, observability, and developer tooling in an AI enablement context. | Requires 5+ years backend production ownership, strong auth experience, CI/CD, metrics instrumentation, and familiarity with AI agent tooling and developer platforms. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Own and extend backend platform services with authentication, integrations, observability, and mentoring. | Requires 5+ years backend engineering experience, strong auth knowledge, production ownership, and documentation skills. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Own and extend backend platform services including authentication, integrations, and operational health. | Requires 5+ years software engineering experience, backend service ownership, auth expertise, and strong communication skills. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Own and extend backend platform services including integrations, authentication, CI/CD, and observability for AI enablement. | Requires 5+ years backend software engineering with production ownership, auth experience, metrics instrumentation, and strong communication. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Own and extend backend platform integrations, authentication, CI/CD, and observability for AI enablement. | Requires 5+ years software engineering, backend service ownership, auth experience, metrics instrumentation, and strong communication. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Develop and maintain backend services and integrations for AI enablement platform with ownership of authentication, CI/CD, and observability. | Requires 5+ years software engineering experience, backend service ownership, auth expertise, and familiarity with AI agentic coding tools and LLM platforms. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Own and extend backend platform services with authentication, integrations, observability, and developer tooling. | Requires 5+ years software engineering, backend service ownership, auth experience, strong communication, and familiarity with modern stacks and LLM tooling. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment

Own and extend backend platform integrations, authentication, observability, and developer tooling for AI enablement. | Requires 5+ years backend engineering with auth, CI/CD, metrics instrumentation, and experience with AI agentic coding tools and LLM gateways. | Job Description: • Own and extend the MCP Gateway and connector platform • Build and harden MCP server integrations with systems including Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks • Own authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools • Partner with Security and platform owners on safe-by-default access paths • Run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, and release hygiene • Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling • Maintain authorship guides enabling other teams to contribute • Extend platform observability, model-gateway configuration, and cost attribution • Improve telemetry so adoption, tool-call health, and inference spend are attributable by team, workload, and model • Define model routing and build benchmarks and evaluation harnesses for evidence-based model selection • Build infrastructure mapping agent outputs into a browsable, searchable, commentable surface • Support discovery, tagging, viewer engagement instrumentation, comments, expiry, and share notifications • Run office hours and brownbags, mentor engineers on agentic-coding and plugin-authorship patterns • Triage and deduplicate inbound feature requests • Carry on-call for marketplace-published artifacts and gateway availability Requirements: • BS/BTech (or higher) in Computer Science, Engineering or a related field • 5+ years professional software engineering experience • Production ownership of a backend service or developer platform, including its auth model, release process, and operational health • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD • Hands-on experience with authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management • Demonstrated experience instrumenting an owned system using metrics, structured logging, tracing, or usage analytics and using that data to drive a decision • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting, such as Claude Code, Cursor, Cody, Copilot agents, or Aider • Strong written communication and ability to produce documentation, runbooks, and educational artifacts • Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations • Experience running an LLM gateway or inference proxy in production, such as LiteLLM, Bedrock, or vLLM • Experience building evaluation harnesses or benchmarks for LLM systems • Experience operating a package registry, plugin ecosystem, or extension marketplace • Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems • Familiarity with Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is a plus but not required • Comfort across frontend, backend, and infrastructure • Experience as an early engineer on a platform serving internal colleagues Benefits: • Remote work arrangement • Full-time employment