aws-cdk jobs in San Diego

Sr Staff Software Engineer leading architectural vision and long-term evolution of medication supply chain management software platforms. Responsible for defining scalable, resilient system architectures, guiding multiple development teams, driving technology decisions, and ensuring alignment with enterprise standards.…See more Will own architecture roadmaps, conduct design reviews, balance availability/scalability/security/compliance requirements, and mentor senior engineers. Requires 10+ years R&D experience, proficiency in Go or C#, React, Java, and cloud architecture (AWS/GCP/Azure), with healthcare domain and regulated-environment experience preferred.

Build and ship agent-based AI verification workflows from proof-of-concept to production, designing test cases for non-deterministic agent behavior and hardening code for quality, observability, and cost. Own your slice of the SDLC—implementation, testing, deployment—while building data ingestion pipelines on AWS and collaborating with Product and senior engineers to translate business requirements into features.…See more Requires 2–4 years of software engineering experience, strong Python or backend language skills, SQL/NoSQL knowledge, and hands-on experience building LLM-based projects that call tools, chain steps, or coordinate multiple operations.

Build and ship agentic AI capabilities (e.g., Vertex AI-based Discovery Agents) from design through production, owning the full software development lifecycle, implementation, testing, and deployment. Harden proof-of-concept agent code into production-grade quality with strong error handling, observability, and testing.…See more Design test cases and evaluation checks for non-deterministic agent behavior, and build data ingestion pipelines using AWS and big-data tooling. Contribute to production support including monitoring, alerting, and incident response for an AI-driven service.

Senior Platform Engineer to design, build, and operate a cloud-native compute platform on AWS and Kubernetes. You will own platform security, scalability, and evolution through strategic initiatives and migration efforts, lead incident response and troubleshooting, and provide technical leadership and mentorship.…See more Requires 8+ years in platform/SRE/infrastructure engineering with deep AWS expertise, production Kubernetes experience, hands-on CI/CD (GitHub, GitHub Actions, Argo CD), Infrastructure as Code (Terraform/CDK), Kubernetes networking knowledge, and production observability/monitoring skills.

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient.…See more The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.

Principal AI Platform Engineer leading enterprise AI infrastructure strategy and governance at the platform boundary. Responsible for implementing and maintaining Bedrock Guardrails and Microsoft Purview DLP controls, managing AI vendor relationships with Microsoft and AWS, producing governance artifacts and runbooks, and leading internal AI adoption through community building and enablement.…See more Requires 7–10 years of cloud/DevOps experience with hands-on production expertise in AWS Bedrock (Agents, Knowledge Bases, Guardrails) and Microsoft 365 Copilot deployment in enterprise environments, including data integration, RAG architecture, and AI security controls.

Design and build platform engineering infrastructure, tools, and automation for cloud-native environments on AWS, using Infrastructure as Code (Terraform/CDK), CI/CD, and observability practices. Develop reusable modules, APIs, CLIs, and service templates that improve developer experience and enforce security, compliance, and cost controls.…See more Establish monitoring, logging, alerting, SLOs, and incident response practices; participate in 24x7 on-call rotation with a focus on production reliability and automation. Requires 7+ years in DevOps, SRE, platform engineering, or cloud operations with deep hands-on experience in multi-account AWS setups, GitOps, and observability platforms like Datadog or Prometheus.

Build and test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).…See more Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.

Senior Staff Software Engineer owning end-to-end design, architecture, and delivery of a scalable AWS-based cloud platform integrating backend services, frontend applications, mobile clients, and IoT hardware. You'll make high-stakes architectural decisions independently, write production code across Node.js, React, React Native, Python, Rust, and C++, design infrastructure-as-code with AWS CDK, and work with PostgreSQL at depth.…See more Operating in a flat, autonomous team with no management hierarchy, you'll set engineering standards, drive technical direction, and operate critical systems from design through production support.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

Lead the design, deployment, and governance of an enterprise AI platform integrating AWS Bedrock, Microsoft 365 Copilot, and structured/unstructured data sources. Act as the primary technical authority for AI infrastructure, RAG architecture, security controls, and AI adoption across business units, with responsibility for platform budget, vendor contracts, and internal capability building through mentoring and community-of-practice leadership.…See more Requires hands-on production experience with Bedrock (Agents, Knowledge Bases, Guardrails), M365 Copilot enterprise deployment, and proven ability to operate as a solo platform owner in a matrixed organization without direct reports.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure at scale. Design self-service platforms and APIs for CDN/WAF onboarding, DNS, and certificate lifecycle management.…See more Engineer edge security policies (Akamai, AWS WAFv2), troubleshoot packet-path connectivity, and automate compliance and cost operations. Direct AI agents to build and operate infrastructure faster while providing 24x7 incident response and mentoring engineers on automation patterns.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure protecting ~100M customers. Design and automate self-service platforms for CDN/WAF onboarding, edge security policies, DNS, and certificate lifecycle management across Akamai and AWS.…See more Engineer APIs, UIs, and infrastructure-as-code solutions; troubleshoot the full packet path; and direct AI agents to scale operations. Provide 24x7 incident response and mentor engineers on networking, security, and cloud platform best practices.