
Senior Engineer, Data Services
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in United States.
• Take full ownership of intricate engineering tasks from initial design through to implementation, testing, and production.
• Develop clean, thoroughly tested, maintainable code while adhering to code review best practices.
• Create and evaluate Technical Design Documents and contribute to Architecture Decision Records.
• Facilitate technical discussions and document architectural trade-offs effectively.
• Construct and manage the Common Event Bus, including aspects such as event validation, enrichment, EventBridge routing, cross-account targets, DLQ handling, replay, and Iceberg lakehouse integration.
• Oversee Kafka/Debezium change-data-capture pipelines and Benthos jobs.
• Manage event and API contracts, schema definitions, generated bindings, versioning, and compatibility within trueml-model (OTDS).
• Develop production Terraform deployed via Atlantis across sandbox, development, staging, and production environments.
• Utilize and enhance AI coding agents, repository context, MCP servers, and reusable agent workflows.
• Contribute to LLM-backed services, focusing on prompt/context design, structured output, tool calling, validation loops, model selection, token budgets, and cost management.
• Implement observability metrics in pipelines, including delivery rates, validation failures, DLQ depth, and latency.
• Promote reliability and operational health enhancements.
• Mentor junior engineers through code reviews, pairing, and direct guidance.
• Lead exploratory spikes and time-constrained discovery initiatives.
• Collaborate with Data Engineering, Data Science, and Product teams on data contracts, schema modifications, and onboarding event publishers and subscribers.
• Engage in discussions regarding code quality, testing, operational readiness, documentation, and FinOps.
• A Bachelor's degree in a relevant technical discipline or equivalent practical experience.
• Over 5 years of experience in software or data engineering.
• Proven track record of ownership over production systems.
• Extensive experience with event-driven architecture, encompassing event buses, schema evolution, idempotency, dead-letter handling, and replay mechanisms.
• Practical experience with EventBridge, SNS/SQS, Kinesis, and/or Kafka with a schema registry.
• Strong foundational knowledge in multi-account AWS services, including Lambda, IAM, S3, Glue Catalog, Athena, Firehose, and Iceberg.
• Proficient in production-grade Go or TypeScript.
• Openness to working within the JVM for legacy platform systems.
• Experience with Terraform at a production scale.
• Regular use of agentic coding tools such as Claude Code or similar.
• Practical knowledge of MCP; ideally having built an MCP server.
• Direct experience with LLM APIs such as Bedrock or Anthropic.
• Familiarity with prompt and context engineering, structured output, tool invocation, evaluation, and guardrails.
• Capability to analyze model tiers, token budgets, and associated costs.
• Experience handling PII, tokenization, and least-privilege access within regulated environments.
• Awareness of prompt injection and overly broad agent permissions as potential security vulnerabilities.
• Capacity to work autonomously and enhance systems with limited documentation.
• Ability to draft clear technical design documents and articulate technical trade-offs to non-engineers.
• Flexible vacation policy.
• Comprehensive medical, dental, and vision insurance.
• Options for traditional and Roth retirement savings.
• Company-covered disability and life insurance.
• Flexible Spending Account & Limited FSA options.
• Family-friendly parental leave policy.
• Time off for volunteering and voting.
• Access to an on-demand wellness platform for you and up to 5 friends and family members.
• PerkSpot discount program offering savings at over 900 merchants nationwide.
• Remote-first work environment.
• Reasonable accommodations available for individuals with disabilities.
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