Lead Software Engineer

Responsibilities

• Own the enterprise connector catalog, integration standards, security review gates, and onboarding playbooks for MCP servers.
• Build authentication, connector monitoring, lifecycle tooling, and integrations for SaaS, databases, data pipelines, and internal services.
• Own and improve the AI Artifact Hub, knowledge ingestion pipelines, agents, skills, and automation workflows.
• Implement access controls, row-level permissions, authorization policies, and DLP enforcement for AI workflows.
• Build reliability, observability, cost tracking, circuit breakers, fallback handling, evaluation frameworks, test suites, and feedback APIs.
• Mentor junior engineers, participate in design and code reviews, guide technical decisions, and collaborate with AWS technical teams.

Requirements

• Bachelor’s degree in computer science and 6 years of related experience, or alternative combinations including a master’s degree with 4 years, a Ph.D. with 1 year, or 18 years of related experience.
• At least 5 years of professional software development experience designing, building, and operating production systems.
• Strong Python proficiency for APIs, data pipelines, and integrations.
• Hands-on experience with AWS services such as Lambda, S3, IAM, API Gateway, CloudWatch, and Step Functions.
• Experience integrating third-party APIs and SaaS platforms, including OAuth 2.0 and OIDC authentication flows.
• Experience with infrastructure as code, preferably Terraform, and CI/CD pipelines, preferably GitHub Actions.
• Understanding of distributed systems concepts including fault tolerance, idempotency, eventual consistency, and graceful degradation.
• Experience designing and enforcing authorization policies in multi-tenant or multi-user systems.
• Preferred experience includes AI/ML systems, RAG, knowledge retrieval, agent architectures, Amazon Bedrock, MCP, Snowflake, knowledge graphs, embeddings, vector stores, enterprise search, evaluation frameworks, FinOps, DLP, event-driven architectures, workflow engines, and internal developer platforms.
• Applicants must be authorized to work in the United States for any employer without current or future sponsorship.

Benefits

• Work in an early-stage initiative with executive sponsorship, significant autonomy, and direct access to AWS technical teams.
• Hybrid work arrangement requiring three days per week in the office.
• Participation in an on-call rotation for production platform systems.