eSimplicity

Lead quality strategy and testing compliance for federal financial data engineering releases. | Bachelor's degree and 8+ years leading QA for data-centric systems with ability to obtain security clearance. | Description About Us ESimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Purpose and Scope: We are seeking an experienced Sr. Quality Assurance Engineer to own the quality strategy for a federal financial regulatory agency's enterprise data engineering program. This role is responsible for ensuring that every release to the agency's enterprise data platform is fully tested, documented, compliant with the program's enterprise ETL standards, and ready for government review and acceptance. The ideal candidate brings deep expertise in automated testing, IV&V and UAT coordination, code coverage and quality gates, and release documentation for large-scale, data-centric systems in an agile environment. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance (Moderate Risk). This position is contingent upon contract award. \Responsibilities Define test strategies, quality gates, and the Definition of Done for two-week agile delivery iterations; ensure releases meet government acceptance criteria before deployment. Develop and maintain comprehensive ETL Test Plans, test cases, test data, and validation criteria ensuring data pipelines are functionally correct, reliable, and meet business and data quality requirements. Lead adoption of automated testing frameworks, including unit, integration, and user-facing functional tests executed automatically through CI/CD, providing consistent protection against regressions. Manage code coverage measurement and progression toward the contract standard of a minimum 90% test coverage, with metrics visible in real-time dashboards. Coordinate Independent Verification & Validation (IV&V) and User Acceptance Testing (UAT) cycles; ensure findings are fully addressed and resubmitted within rapid contractual timelines and iteration counts stay within contract quality thresholds. Prepare Corrective Action Plans (CAPs) when performance standards are not met; ensure defects are logged, prioritized, triaged, and resolved in collaboration with engineering. Ensure complete, accurate release documentation accompanies every staging and production release, including approved test cases and results, data flow diagrams, architecture diagrams, and all artifacts required by the program's ETL standards. Verify data quality standards, including complete record and field loads, XSD validation where required, duplicate load prevention, and Data Steward-approved quality checks (e.g., AWS Glue data quality facilities). Integrate static code analysis, dependency scanning, and security scans into the Definition of Done; support delivery of code free of medium- and high-level vulnerabilities (OWASP ASVS 4.0, Level 2). Support periodic load and performance testing and validate results against acceptance criteria. Track quality metrics and provide regular status reporting on quality, risks, and release readiness to the Product Owner and program leadership. Support timely, accurate responses to data engineering customer inquiries and tickets in accordance with program service standards. Collaborate with Product Owners, Data Officers, IV&V teams, and developers to align QA practices with the program's enterprise ETL standards and drive their continuous improvement. Requirements Required Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline. OR; In lieu of a degree, four additional years of related experience is required Minimum of 8 years of software testing/quality assurance experience, including experience leading QA activities for delivery teams. Hands-on experience with automated testing frameworks and integrating automated tests into CI/CD pipelines. Demonstrated experience developing test plans, test cases, and traceable test documentation for large, data-centric systems. Experience with code quality tooling, including code coverage measurement, static analysis, and dependency scanning. Experience supporting UAT with end users and resolving findings on rapid timelines. Strong understanding of QA methodologies, SDLC, and Agile practices; experience with Atlassian Jira/Confluence or similar test management tools. Excellent command of written and spoken English, with the ability to produce clear, complete, government-ready documentation. Ability to obtain and maintain a Moderate Risk Public Trust clearance; residing in the United States. Desired Qualifications: Experience supporting formal IV&V processes in a federal environment. Experience testing AWS-based data platforms and ETL pipelines (Glue, Spark, Athena/Trino, Airflow, S3). Proficiency in Python or SQL for test automation and data validation. Familiarity with OWASP ASVS, secure development practices, and federal compliance requirements including Section 508 of the Rehabilitation Act and the Privacy Act of 1974. Testing experience in regulated industries (finance, government); ISTQB or other QA certifications. Working Environment: eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.

Lead engineering operations standards and governance for a federal data modernization program. | 10+ years software engineering with leadership in engineering operations, DevSecOps, cloud platforms, and security compliance. | Job Type Full-time Description About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Position Overview The Principal Engineering Lead will establish and lead engineering operations standards for a large-scale federal data and analytics modernization program, including CI/CD and release governance, SLO/SLI frameworks, operational readiness criteria, DevSecOps practices, reliability, observability, and security-by-design delivery. The program operates as a production cloud platform with critical pipelines, dashboards, APIs, public-facing products, AI-enabled services, and user-facing capabilities. This role will guide engineering execution across secure cloud foundations, identity and access, DevSecOps automation, security compliance, API runtime operations, platform reliability, operational readiness, automated testing, incident response, and cost-management collaboration. The Principal Engineering Lead will partner with customer stakeholders, cloud and platform partners, security stakeholders, architects, data teams, product leaders, and agile teams to keep services reliable, secure, observable, and cost-transparent. Responsibilities • Lead engineering operations standards, CI/CD and release governance, SLO/SLI framework development, operational readiness criteria, DevSecOps practices, and reliability across the delivery model. • Provide leadership for applicable technical coverage areas, including cloud infrastructure, infrastructure as code, CI/CD, source control, identity and access, observability, security automation, API runtime operations, security assessment support, remediation tracking, access reviews, vulnerability response, FedRAMP or comparable security alignment, and support escalation practices. • Implement DevSecOps principles across the lifecycle, including iterative delivery, continuous integration and deployment, security shifted left, security by design, automated security testing, continuous monitoring, cross-functional collaboration, and continuous improvement. • Establish and maintain release readiness and completion criteria for platform, infrastructure, pipeline, API, dashboard, documentation, AI-enabled service, and security artifact work. • Support automated testing expectations, including CI/CD-integrated unit, lint, smoke, functional, performance, accessibility, and security tests, with a target of at least 80 percent automated test coverage for code-based deliverables unless the customer approves an alternative. • Drive observability and operational action paths for service health, incident trends, performance, deployment risk, platform reliability, security posture, support escalation, and runbook-based recovery. • Coordinate with customer stakeholders and cloud or platform partners on cloud governance, architecture reviews, account governance, logging, backups, patching, vulnerability scanning, cost management, and approved cloud service use. • Ensure engineering artifacts, code repositories, infrastructure-as-code modules, runbooks, dashboard definitions, CI/CD workflows, security evidence, and related materials are maintained in customer-accessible systems of record from day one. Requirements Required qualifications • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation • 10+ years experience in software engineering, including implementing engineering best practices, iterative/continuous engineering principles • Bachelor’s degree in Computer Science, Information Systems, Engineering, Math, or other related scientific or technical discipline. • Demonstrated ability to lead engineering operations, DevSecOps, SRE, cloud platform, or production operations functions for complex, secure, mission-critical systems. • Experience with cloud infrastructure, infrastructure as code, CI/CD, source control, automated testing, release governance, operational readiness, incident response, and reliability engineering. • Working knowledge of cloud platforms, infrastructure-as-code tools, source control, CI/CD tooling, identity and access management, observability, security automation, and API runtime operations. • Knowledge of security practices across planning, development, build/test, deployment, operations, and feedback cycles, including threat modeling, secure coding, dependency scanning, container scanning, IaC security checks, security gates, SIEM, continuous monitoring, and post-incident improvement. • Experience establishing SLOs, SLIs, alerts, runbooks, dashboards, readiness criteria, defect management, root-cause analysis, and engineering health metrics. • Ability to coordinate with security, privacy, product, architecture, data, support, and Government stakeholders to maintain reliable and compliant operations. • Ability to comply with customer-specific security, privacy, accessibility, quality, training, and data-handling requirements for assigned systems and data. Preferred Qualifications • Experience supporting federal, public sector, healthcare, or other regulated data, analytics, oversight, reporting, or public transparency programs. • Experience with data platform operations, governance layers, API services, serverless patterns, observability platforms, CI/CD platforms, advanced source-control security capabilities, static and dynamic analysis tools, dependency scanning tools, accessibility testing tools, feature management, and BI platforms. • Familiarity with FISMA, NIST-based controls, FedRAMP, ATO support, security assessment artifacts, risk remediation, least-privilege access, encryption in transit and at rest, and continuous monitoring. • Experience with cost attribution, cost alerts, anomaly detection, monthly showback reporting, and workload optimization. • Hands-on experience building and optimizing data pipelines within the Databricks platform • Preferred certifications may include AWS, Databrickscloud, infrastructure as code, DevSecOps, SRE, SAFe, Security+, CISSP, cloud security, FinOps, or related engineering credentials. Working Environment eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status. Salary Description $127,500 -$170,000

Design and deliver complex LLM-based AI/ML multi-agent solutions with emphasis on orchestration, governance, and scalability. | Requires 10+ years in complex cloud systems architecture, 2+ years in LLM AI/ML production, and expertise in agentic AI frameworks. | Job Type Full-time Description About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow Purpose And Scope We are seeking a passionate Agentic Solutions Architect experienced in designing and delivering complex LLM-based AI/ML systems and multi-agent solutions, with a strong emphasis on agent orchestration, governance, scalability, and efficiency. This customer solution Subject Matter Expert (SME) will act as an enthusiastic advocate driven to help our teams and customers deliver better and faster business outcomes through the strategic application of agentic AI. Responsibilities • Identify and own entire technical solution requirements in the development of enterprise-wide agentic AI and LLM-driven information systems. • Create specific technical designs, model and tooling selections (LLMs, agent frameworks, vector stores, orchestration platforms), and end-to-end agentic architectures. • Provide subject matter expertise on LLMs, agent frameworks (e.g., Agentbricks, AgentCore, Agentforce, LangGraph, CrewAI, AutoGen, Semantic Kernel), and orchestration platforms, leading the decision-making process to identify the best structural options. • Serve as the core technical owner of complex agentic AI implementations, driving continuous reengineering and refactoring efforts to ensure the simplest, most elegant, and efficient systems possible to accomplish business needs. • Ensure strategic alignment of agentic and AI/ML architectures to support business growth and evolution, staying at the forefront of emerging models, agent patterns, and protocols. • Establish and maintain comprehensive governance frameworks spanning the entire agentic AI lifecycle: prompt and policy management, agent guardrails, risk assessment, bias/fairness and hallucination monitoring, audit logging, transparency, immutability, and regulatory compliance. • Contribute to the strategic development and management of agentic AI product roadmaps, backlogs, and measurable success criteria, authoring detailed user stories for agent capabilities and human-in-the-loop workflows. • Enhance and maintain a scalable systems/solutions architecture for a multi-agent platform that supports continued growth, innovation, and modernization of AI capabilities across an expanding ecosystem of internal and external stakeholders. • Develop and design complex agentic solutions through cross-functional collaboration across a variety of LLM, RAG, tool-use, and cloud-native AI architectures. • Develop solutions utilizing Agile frameworks and modern automation strategies, including LLMOps, MLOps, DevSecOps, and agentic hyper-automation methodologies. • Spearhead continuous innovation and programmatic improvements, acting as a champion for the project's cultural ethos and advocating for Consumer-Driven Engineering. • Act as a hands-on Agentic Solutions Architect and the ultimate tier-SME for assigned functional areas across LLM, agent, and AI/ML solution engineering. • Collaborate closely with the program Chief Architect, augmenting roles as needed, including serving as Deputy Chief Architect for the program with respect to agentic AI implementation and enterprise adoption. • Lead, manage, and mentor individuals and engineering teams, providing direct people-management support through coaching, professional development, regular 1:1 meetings, and fostering structured career growth. • Install, configure, and administer enterprise-grade agentic platforms—specifically focusing on agent orchestration, tool/function calling, Model Context Protocol (MCP), Agent-to-Agent (A2A) networks, model gateways, and governance—ensuring top-tier reliability, performance, and scalability. • Create seamless integrations with CI/CD pipelines, identity/access controls, APIs, repositories, and centralized monitoring systems. • Deploy hands-on enterprise deployment models that guarantee data and AI security across PII/PHI boundaries, agent identities, robust access controls, and authorization mechanisms. • Train engineering teams and customer end-users, developing tailored onboarding and adoption materials, and leading practical workshops to drive rapid utilization and trust in agentic AI workflows. • Build consensus and align diverse stakeholder groups including data science, DevSecOps, compliance, legal, and business units around secure agentic AI capabilities and platform value. • Perform other duties as assigned. Requirements Required Qualifications • A bachelor’s degree in computer science, Information Systems, Engineering, Mathematics, or a related scientific or technical discipline. (In lieu of a degree, an equivalent combination of education and experience will be considered). • Minimum of 10 years leading the system architecture of complex, cloud-based enterprise systems, including data pipelines, analytics, and enterprise AI/ML workloads. • Strong fundamental experience in software engineering, demonstrating standard implementation of engineering best practices and iterative/continuous delivery principles. • 6 years of hands-on software development experience designing solutions on complex cloud and data architectures (e.g., Databricks, Hadoop, EMR, Spark, Redshift). • At least 2 years of hands-on production experience designing, building, or deploying complex LLM-based AI/ML solutions (including RAG, fine-tuning, prompt engineering, systematic evaluation, and model gateways). • At least 1 year of hands-on production experience designing, building, or deploying agent-based solutions (single-agent or multi-agent), explicitly involving agent orchestration, tool/function calling, memory architectures, and human-in-the-loop patterns using frameworks such as Agentbricks, AgentCore, Agentforce, LangGraph, CrewAI, AutoGen, or Semantic Kernel. • Proven experience with data preparation workflows tailored for AI/ML and agentic systems, including data augmentation, data quality analysis, profiling, embeddings/vector data creation, and developing enterprise AI data strategy recommendations. • Proven experience designing highly secure AI and data solutions handling Protected Health Information (PHI) and Personally Identifiable Information (PII), alongside associated governance, access controls, and detailed auditability. • Demonstrated experience collaborating with customers and organizational stakeholders to present solutions to user communities and successfully drive user adoption. • Experience designing cost-optimized, cloud-scalable AI/ML and agentic solutions, including deep familiarity with LLM cost management and latency tuning. • Demonstrable experience establishing alignment and consensus across multiple interested or affected corporate stakeholder groups. • Experience working smoothly within an Agile or SAFe (Scaled Agile Framework) environment. • Excellent verbal, written, and presentational communication skills. • Ability duly to obtain and maintain a Public Trust clearance. Must reside in the United States. Desired Qualifications • Relevant industry experience within Healthcare vertical sectors (Medicare, Medicaid, commercial health insurance) or direct technical delivery experience with federal government agencies such as the Centers for Medicare & Medicaid Services (CMS). • Data and AI platform certifications (e.g., Databricks, AWS Bedrock, Azure AI), foundational cloud certifications (e.g., AWS), or advanced coding certifications (e.g., Python). • Certifications or advanced training involving designing and implementing LLM, RAG, and agentic AI architectures (e.g., AWS Generative AI, Azure AI Engineer, NVIDIA, LangChain). • Demonstrated history of successful, applied agentic AI outcomes that achieved meaningful and measurable improvements in enterprise productivity, organizational decision quality, or overall mission impact (such as reduced processing timelines, clear cost savings, or heightened accuracy). • Proficiency with the Atlassian suite (Jira and Confluence). Working Environment This is a remote position supporting Eastern Time business hours. Employees are expected to work 9:00 AM–5:00 PM ET unless otherwise directed by their manager. Occasional travel for training or project meetings may be required and is estimated at less than 5% annually. Benefits eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status Salary Description $170,500 - $225,000