Delan Associates, Inc.

Build AI-powered full-stack applications using modern cloud and AI technologies. | 8+ years experience with React, TypeScript, Python, Go, Java, AI/Agentic AI development, Kubernetes, AWS, and production observability. | HIRING: Senior / Staff Full Stack Engineer - AI Location: Mountain View, CA - 3 Days Hybrid Interview Panel Availability: 7 AM - 12 Noon CST Experience: 8+ Years We are looking for a Senior/Staff Full Stack Engineer with strong AI/Agentic AI experience to join an innovative team building an AI-powered platform that creates real, data-connected applications using natural language. Must-Have Skills: • React + TypeScript • Python, Go & Java • LLM / Agentic AI application development • LangGraph / LangChain / Claude Agent SDK • AWS - EKS, EC2, S3, VPC • Kubernetes - CRDs, Custom Controllers/Operators, Helm, GitOps • AWS CDK / CloudFormation • WebSockets, Streaming & Real-Time Applications • Production Observability - Logs, Metrics, Alerts & Incident Response • Distributed Backend Services & Microservices • AI Coding Agents - Claude / Cursor Good to Have: * AI Evaluation platforms/tools * Active-Active / Active-Passive architecture * Multi-region AWS environments * Performance & Load Testing * FMEA / Reliability Engineering Looking for candidates who have hands-on production experience building AI-powered/agentic applications and strong full-stack engineering capabilities.

Develop and maintain AI-powered full-stack applications with distributed backend services and production observability. | Requires 8+ years experience with React, TypeScript, Python/Go/Java, AI/agentic AI development, Kubernetes, AWS, and production observability. | HIRING: Senior / Staff Full Stack Engineer - AI Location: Mountain View, CA - 3 Days Hybrid Interview Panel Availability: 7 AM - 12 Noon CST Experience: 8+ Years We are looking for a Senior/Staff Full Stack Engineer with strong AI/Agentic AI experience to join an innovative team building an AI-powered platform that creates real, data-connected applications using natural language. Must-Have Skills: • React + TypeScript • Python, Go & Java • LLM / Agentic AI application development • LangGraph / LangChain / Claude Agent SDK • AWS - EKS, EC2, S3, VPC • Kubernetes - CRDs, Custom Controllers/Operators, Helm, GitOps • AWS CDK / CloudFormation • WebSockets, Streaming & Real-Time Applications • Production Observability - Logs, Metrics, Alerts & Incident Response • Distributed Backend Services & Microservices • AI Coding Agents - Claude / Cursor Good to Have: * AI Evaluation platforms/tools * Active-Active / Active-Passive architecture * Multi-region AWS environments * Performance & Load Testing * FMEA / Reliability Engineering Looking for candidates who have hands-on production experience building AI-powered/agentic applications and strong full-stack engineering capabilities.

Lead and mentor development teams while remaining hands-on in software design, coding, and AI-assisted development. | Senior developer with leadership experience, strong software architecture skills, and familiarity with AI-assisted development tools. | The Role We are seeking a hands-on Senior Software Developer / Technical Lead with an AI focus to help us lead teams that build new applications and modernize existing ones for our clients. You will work as part of an AI Led Application Modernization team that believes the way software is designed, built, tested, and maintained is changing quickly—and that senior technical leaders have an opportunity to shape how teams adopt these changes responsibly and effectively. Among your responsibilities will be: • Set technical direction for delivery teams, including architecture, engineering practices, modernization approach, AI adoption patterns, and quality expectations. • Remain hands-on in the work by designing, coding, reviewing, testing, and troubleshooting software while helping other developers deliver well-architected solutions. • Use AI-assisted development tools and create fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or similar approaches when they are the right solution for a client or delivery challenge. This role is both hands-on and leadership oriented. You will write code, review AI-generated output, guide architectural decisions, mentor developers, establish delivery patterns, and help teams use AI responsibly to build and modernize software faster without sacrificing quality, security, or maintainability. Key Responsibilities • Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting • Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management • Use AI-assisted development tools to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment • Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies • Guide modernization of existing applications by analyzing legacy code, identifying business logic, assessing constraints, defining target architecture, and creating incremental transformation roadmaps • Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience considerations • Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review • Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable technical plans • Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift • Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices that help the broader team deliver modernization work more effectively Who You Are You are a senior developer and technical leader who still enjoys building useful software and solving hard problems. You have seen enough delivery challenges to recognize patterns, anticipate risks, and help a team choose the right architecture and engineering approach for the situation. You have led developers through either new software development projects, application modernization efforts, or both. You know how to establish technical direction, break complex work into deliverable increments, coach developers through tradeoffs, and keep the team focused on building software that is secure, maintainable, testable, and aligned to business outcomes. You are excited by the changes coming to software development. You have a growth mindset, actively experiment with AI-assisted development tools, and are interested in creating practical agents, workflows, and engineering practices that help teams build, understand, modernize, and operate software more effectively. Required Technical and Professional Expertise • Significant hands-on software development experience delivering production-quality applications • Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution • Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management • Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies • Experience with either new application development, application modernization, or both • Practical experience using AI-assisted development tools to support coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration • Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements • Familiarity with agentic development concepts and experience building or prototyping fit-for-purpose agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks • Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support • Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create pragmatic incremental transformation plans • Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams • Growth mindset and enthusiasm for how AI will reshape the software development profession Preferred Technical and Professional Experience • Experience modernizing legacy applications, including mainframe, Fortran, J2EE, ASP, monolithic, or other enterprise application estates • Experience architecting cloud-native applications, APIs, microservices, event-driven systems, or modern front-end experiences • Hands-on experience with LangGraph, A2A, MCP, OpenAI or Anthropic APIs, Semantic Kernel, CrewAI, or comparable agent and orchestration frameworks • Experience designing agents that interact with enterprise tools, repositories, documentation, tickets, CI/CD pipelines, runtime telemetry, or application data • Experience defining architecture guardrails, reference implementations, coding standards, reusable components, or engineering playbooks for delivery teams • Familiarity with DevSecOps practices, automated quality gates, observability, containerization, infrastructure as code, and secure software delivery pipelines • Experience with retrieval-augmented generation, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, or agent observability • Experience working in Agile delivery environments with product owners, architects, business stakeholders, client executives, and distributed engineering teams Ability to mentor and influence other developers in practical, responsible, and effective use of AI-assisted software development practices

Lead and mentor development teams while designing, coding, and guiding AI-assisted software modernization projects. | Senior hands-on developer with leadership experience, AI-assisted development skills, and strong software architecture knowledge. | The Role We are seeking a hands-on Senior Software Developer / Technical Lead with an AI focus to help us lead teams that build new applications and modernize existing ones for our clients. You will work as part of an AI Led Application Modernization team that believes the way software is designed, built, tested, and maintained is changing quickly—and that senior technical leaders have an opportunity to shape how teams adopt these changes responsibly and effectively. Among your responsibilities will be: • Set technical direction for delivery teams, including architecture, engineering practices, modernization approach, AI adoption patterns, and quality expectations. • Remain hands-on in the work by designing, coding, reviewing, testing, and troubleshooting software while helping other developers deliver well-architected solutions. • Use AI-assisted development tools and create fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or similar approaches when they are the right solution for a client or delivery challenge. This role is both hands-on and leadership oriented. You will write code, review AI-generated output, guide architectural decisions, mentor developers, establish delivery patterns, and help teams use AI responsibly to build and modernize software faster without sacrificing quality, security, or maintainability. Key Responsibilities • Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting • Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management • Use AI-assisted development tools to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment • Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies • Guide modernization of existing applications by analyzing legacy code, identifying business logic, assessing constraints, defining target architecture, and creating incremental transformation roadmaps • Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience considerations • Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review • Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable technical plans • Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift • Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices that help the broader team deliver modernization work more effectively Who You Are You are a senior developer and technical leader who still enjoys building useful software and solving hard problems. You have seen enough delivery challenges to recognize patterns, anticipate risks, and help a team choose the right architecture and engineering approach for the situation. You have led developers through either new software development projects, application modernization efforts, or both. You know how to establish technical direction, break complex work into deliverable increments, coach developers through tradeoffs, and keep the team focused on building software that is secure, maintainable, testable, and aligned to business outcomes. You are excited by the changes coming to software development. You have a growth mindset, actively experiment with AI-assisted development tools, and are interested in creating practical agents, workflows, and engineering practices that help teams build, understand, modernize, and operate software more effectively. Required Technical and Professional Expertise • Significant hands-on software development experience delivering production-quality applications • Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution • Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management • Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies • Experience with either new application development, application modernization, or both • Practical experience using AI-assisted development tools to support coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration • Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements • Familiarity with agentic development concepts and experience building or prototyping fit-for-purpose agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks • Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support • Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create pragmatic incremental transformation plans • Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams • Growth mindset and enthusiasm for how AI will reshape the software development profession Preferred Technical and Professional Experience • Experience modernizing legacy applications, including mainframe, Fortran, J2EE, ASP, monolithic, or other enterprise application estates • Experience architecting cloud-native applications, APIs, microservices, event-driven systems, or modern front-end experiences • Hands-on experience with LangGraph, A2A, MCP, OpenAI or Anthropic APIs, Semantic Kernel, CrewAI, or comparable agent and orchestration frameworks • Experience designing agents that interact with enterprise tools, repositories, documentation, tickets, CI/CD pipelines, runtime telemetry, or application data • Experience defining architecture guardrails, reference implementations, coding standards, reusable components, or engineering playbooks for delivery teams • Familiarity with DevSecOps practices, automated quality gates, observability, containerization, infrastructure as code, and secure software delivery pipelines • Experience with retrieval-augmented generation, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, or agent observability • Experience working in Agile delivery environments with product owners, architects, business stakeholders, client executives, and distributed engineering teams Ability to mentor and influence other developers in practical, responsible, and effective use of AI-assisted software development practices

Lead and mentor development teams while hands-on building and modernizing AI-focused software applications. | Senior developer with leadership experience, strong software architecture skills, AI-assisted development familiarity, and ability to guide modernization efforts. | The Role We are seeking a hands-on Senior Software Developer / Technical Lead with an AI focus to help us lead teams that build new applications and modernize existing ones for our clients. You will work as part of an AI Led Application Modernization team that believes the way software is designed, built, tested, and maintained is changing quickly—and that senior technical leaders have an opportunity to shape how teams adopt these changes responsibly and effectively. Among your responsibilities will be: • Set technical direction for delivery teams, including architecture, engineering practices, modernization approach, AI adoption patterns, and quality expectations. • Remain hands-on in the work by designing, coding, reviewing, testing, and troubleshooting software while helping other developers deliver well-architected solutions. • Use AI-assisted development tools and create fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or similar approaches when they are the right solution for a client or delivery challenge. This role is both hands-on and leadership oriented. You will write code, review AI-generated output, guide architectural decisions, mentor developers, establish delivery patterns, and help teams use AI responsibly to build and modernize software faster without sacrificing quality, security, or maintainability. Key Responsibilities • Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting • Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management • Use AI-assisted development tools to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment • Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies • Guide modernization of existing applications by analyzing legacy code, identifying business logic, assessing constraints, defining target architecture, and creating incremental transformation roadmaps • Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience considerations • Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review • Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable technical plans • Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift • Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices that help the broader team deliver modernization work more effectively Who You Are You are a senior developer and technical leader who still enjoys building useful software and solving hard problems. You have seen enough delivery challenges to recognize patterns, anticipate risks, and help a team choose the right architecture and engineering approach for the situation. You have led developers through either new software development projects, application modernization efforts, or both. You know how to establish technical direction, break complex work into deliverable increments, coach developers through tradeoffs, and keep the team focused on building software that is secure, maintainable, testable, and aligned to business outcomes. You are excited by the changes coming to software development. You have a growth mindset, actively experiment with AI-assisted development tools, and are interested in creating practical agents, workflows, and engineering practices that help teams build, understand, modernize, and operate software more effectively. Required Technical and Professional Expertise • Significant hands-on software development experience delivering production-quality applications • Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution • Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management • Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies • Experience with either new application development, application modernization, or both • Practical experience using AI-assisted development tools to support coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration • Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements • Familiarity with agentic development concepts and experience building or prototyping fit-for-purpose agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks • Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support • Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create pragmatic incremental transformation plans • Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams • Growth mindset and enthusiasm for how AI will reshape the software development profession Preferred Technical and Professional Experience • Experience modernizing legacy applications, including mainframe, Fortran, J2EE, ASP, monolithic, or other enterprise application estates • Experience architecting cloud-native applications, APIs, microservices, event-driven systems, or modern front-end experiences • Hands-on experience with LangGraph, A2A, MCP, OpenAI or Anthropic APIs, Semantic Kernel, CrewAI, or comparable agent and orchestration frameworks • Experience designing agents that interact with enterprise tools, repositories, documentation, tickets, CI/CD pipelines, runtime telemetry, or application data • Experience defining architecture guardrails, reference implementations, coding standards, reusable components, or engineering playbooks for delivery teams • Familiarity with DevSecOps practices, automated quality gates, observability, containerization, infrastructure as code, and secure software delivery pipelines • Experience with retrieval-augmented generation, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, or agent observability • Experience working in Agile delivery environments with product owners, architects, business stakeholders, client executives, and distributed engineering teams Ability to mentor and influence other developers in practical, responsible, and effective use of AI-assisted software development practices

Develop and implement DevOps solutions, ensure quality through testing, provide technical support, and communicate project progress. | Bachelor's degree in Computer Science or Engineering with over 5 years of software engineering experience and proficiency in Python, Java, and PowerShell. | Job Description: What You'll Do Contribute to the execution of engineering projects, ensuring their successful completion within defined timelines and quality standards. Develop and implement engineering and DevOps solutions, adhering to best practices and leveraging appropriate tools and technologies. Conduct thorough testing and quality assurance to ensure the reliability and performance of deliverables. Provide technical support and troubleshooting expertise to address issues and challenges encountered during project execution. Collaborate effectively with cross-functional teams, including product management, design, and operations, to ensure project alignment and successful outcomes. Communicate project progress, risks, and challenges to stakeholders in a clear and timely manner. What you have Strong technical skills and proficiency in programming languages, software development methodologies, and tools including PowerShell, Bash, Python, Java, NodeJS. Ability to work independently and collaboratively in a team environment. Strong problem-solving and analytical thinking skills. Excellent communication and interpersonal skills. Detail-oriented with a focus on quality and accuracy Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software engineering or a related technical role.