Senior Engineer, Data Services
New
T
TrueMLFinancial software
Remote in USAFull-TimeSenior
Salary140,000 - 180,000 USD per year
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Job Details
- Experience
- 5+ years of software or data engineering experience
- Required Skills
- AWSKafkaTypeScriptGoTerraform
Requirements
- Bachelor's degree in a related technical field, or equivalent practical experience.
- 5+ years of software or data engineering experience, with demonstrated ownership of production systems.
- Deep experience with event-driven architecture, including event buses, schema evolution, idempotency, dead-letter handling, and replay.
- Hands-on experience with a managed event platform such as EventBridge, SNS/SQS, or Kinesis, and/or Kafka with a schema registry.
- Strong multi-account AWS fundamentals, including Lambda, IAM, S3, Glue Catalog, Athena, Firehose, and Iceberg.
- Production-grade Go or TypeScript experience and willingness to work in the JVM.
- Production-scale Terraform experience.
- Daily experience with agentic coding tools such as Claude Code or equivalent; practical understanding of MCP and reusable agent skills and workflows.
- Hands-on experience building with an LLM API, including prompt and context engineering, structured output, tool calling, evaluation, and guardrails.
- Experience with PII, tokenization, and least-privilege access in a regulated environment, including assessing data exposure to models and risks from prompt injection and agent permissions.
- Ability to write clear technical design documents and proposals, explain technical trade-offs to non-engineers, and flag cross-team dependencies early.
Responsibilities
- Own complex engineering tickets from design through implementation, testing, and production.
- Author and review Technical Design Documents and contribute to Architecture Decision Records.
- Build and maintain the Common Event Bus, including event validation and enrichment, EventBridge routing, dead-letter handling and replay, and event delivery to the Iceberg lakehouse.
- Maintain Kafka/Debezium change-data-capture pipelines and Benthos jobs for downstream consumers.
- Steward event and API contracts, schema definitions, generated bindings, versioning, and compatibility in trueml-model (OTDS).
- Write Terraform and deploy infrastructure through Atlantis across sbx, dev, stg, and prd.
- Use and improve AI coding-agent workflows, maintain repository context and skill files, and build or consume MCP servers.
- Own LLM-backed services, including prompt and context design, structured output, tool calling, validation, model selection, token budgets, and cost.
- Instrument systems and pipelines for delivery rates, validation failures, dead-letter queue depth, and latency; drive reliability improvements.
- Partner with Data Engineering, Data Science, and Product on data contracts, schema changes, and onboarding event publishers and subscribers.
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