Senior Software Engineer, Data Platform
Human Interest16 hours ago
Base Salary
$190k - $230k/yr
Responsibilities
- Design, build, and operate distributed services and compute infrastructure for the data platform, including containerized AWS ECS workloads, autoscaling, and resource sizing.
- Own scalable data pipelines and data-moving services from ingestion and orchestration through transformation and delivery.
- Improve event-sourced data movement between production systems, data infrastructure, and downstream systems.
- Participate in data-platform on-call and own production issues in distributed data systems.
- Implement secure handling of participant and employer data through PII classification and masking, role-based access controls, encryption, key management, lineage, and audit trails.
- Lead the technical direction of an AI-ready data platform supporting unstructured data, AI tooling, and production model and AI workloads.
- Build interfaces for data engineers, analysts, and AI systems and move curated warehouse data into production services and downstream tools.
- Mentor engineers and analysts and raise standards for testing, code review, and operational readiness.
Requirements
- 5+ years of experience building and operating production software systems, including significant experience with data-intensive systems such as pipelines, streaming platforms, or data infrastructure.
- Experience designing distributed systems and reasoning about concurrency, backpressure, idempotency, partial failure, and related tradeoffs.
- Hands-on experience running, scaling, sizing, and tuning containerized workloads on AWS in production.
- Ability to independently own and improve complex production systems using automated testing, code review, CI/CD, and infrastructure as code such as Terraform.
- Experience with workflow orchestration at scale, including Airflow or equivalent tools.
- Strong interest in using AI tools and workflow automation as a primary way of working.
- Preferred: experience with event-sourced or append-only log systems, change data capture, Kafka, or Kinesis.
- Preferred: experience with cloud data warehouses such as Snowflake, including access control, performance tuning, and cost management.
- Preferred: experience deploying and operating machine learning models in production, particularly serving infrastructure and monitoring.
- Preferred: experience with data lakehouse architectures and open table formats such as Apache Iceberg or Delta Lake.
- Preferred: experience building AI-oriented data infrastructure, including MCP-based data access, AI data governance, and evaluation of AI-generated query responses.
- Preferred: background in fintech, financial services, or another regulated or compliance-driven industry.
Benefits
- 401(k) plan with dollar-for-dollar employer matching up to 4% of compensation, immediate vesting, and no plan fees.
- Health, dental, and vision insurance.
- Competitive time off and parental leave.
- Financial wellness support through Addition Wealth.
- Enhanced mental health support through Lyra.
- Fertility healthcare and family-forming benefits through Carrot.
- Student-loan resources through Candidly.
- Monthly work-from-home stipend and quarterly lifestyle stipend.
- Virtual social events and team offsites.
- Employment is at-will; the posting does not state a specific remote or office work arrangement beyond the work-from-home stipend.
Tech Stack
Categories
BackendData Engineering
About Human Interest
Human Interest builds 401(k) and 403(b) retirement plans for small and medium-sized businesses, delivered as software with full-service administration and employee investing. It provides plan setup, compliance, and investment advisory through Human Interest Advisors, a Registered Investment Adviser, and emphasizes zero transaction fees. Founded in 2015 and headquartered in San Francisco, the company is privately held and serves employers across the United States.