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Own the systems and integration testing strategy for complex distributed systems spanning C++, Java, and Python. Build and maintain a Python/pytest automation framework, integrate tests into CI/CD pipelines, selectively apply contract testing, and guide quality engineering roadmaps. The role combines hands-on test architecture with client-facing consulting, stakeholder influence, mentoring, and adoption of AI-assisted development tools such as Claude.

Develops reliable software, APIs, automation, cloud-native services, and internal platform capabilities. The role contributes to CI/CD, integrations, observability, security, testing, and architecture while supporting AI-enabled solutions such as LLM integrations, RAG, and agentic workflows. Candidates should have strong software engineering fundamentals, AWS or other cloud experience, backend development skills, and an interest in platform engineering, AI, and modern developer tooling.

Design and implement an AI-enabled AWS delivery platform that safely supports agentic development. Build guardrails, controls, observability, telemetry, and policy enforcement across local development environments and CI/CD pipelines. Research and prototype secure developer workflows, containerized or remotely offloaded environments, and scalable governance practices. Collaborate across engineering, platform, security, and enterprise teams to turn emerging concepts into practical solutions and support developer adoption.

Build and operate a highly available Coder platform on Kubernetes, creating Terraform-defined workspace templates and hardened container images. Implement identity, networking, egress, secrets, and audit controls; troubleshoot Linux and connectivity issues; load test and optimize cost, scale, and developer experience. Produce portability-focused documentation, operational runbooks, control evidence, and recommendations for production deployment across cloud environments.

Own firewall policy management and network security operations across regulated enterprise environments. Administer AlgoSec to automate policy governance, risk analysis, access recertification, change governance, and compliance reporting. Manage multi-vendor firewalls, optimize rules, support incidents and exceptions, and build automation using scripting and configuration-management tools. Advise technical and executive stakeholders on security posture, resilience, regulatory obligations, and business needs.

Leads software development testing and quality engineering engagements for clients. Designs API automation and consumer-driven contract tests, integrates frameworks into CI/CD and cloud-based pipelines, and builds test environments with Docker, Kubernetes, and AWS. Partners with product, development, and DevOps teams on shift-left quality strategies, performance, security, and reliability testing. Troubleshoots failures, mentors teams, participates in code reviews and test planning, and drives automation best practices and continuous improvement.

Design and build scalable Python microservices and APIs for an AI-powered code modernization and migration platform. Develop MCP servers and agent tools, orchestrate agentic and multi-agent workflows, and manage backend service lifecycles. Ensure services are robust, observable, tested, and production-ready while shaping tool-calling, state-management, and distributed-system architecture. The role also involves Git workflow automation, developer tooling, and potentially containerized deployments and agent-facing interfaces.

Design, build, and maintain scalable Python microservices and APIs that power agentic workflows for a code modernization and migration platform. Ensure backend services are robust, tested, and production-ready; contribute to agentic architecture and integrate with MCP services, LLMs, and Git automation tooling.

Design, develop, and maintain production-ready applications and scalable service layers. Build RESTful APIs, write testable code and test automation, troubleshoot full-stack issues, participate in code reviews, and contribute to architecture and legacy system modernization within cross-functional agile teams.

Design, build, and operate internal developer platforms and production-ready infrastructure. Manage Kubernetes clusters, IaC (Terraform/Pulumi/CDK), CI/CD pipelines, secrets management (Vault), and SRE/security practices. Support AI/ML platform needs (GPU scheduling, model serving, MLOps, vector DBs) and lead client-facing technical discovery, documentation, and coaching.