Senior Software Engineer, Data Platform
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Job Description
Senior Software Engineer building distributed data infrastructure for Human Interest’s retirement fintech platform. Owning pipelines, AWS compute, security, and AI-ready architecture.
Responsibilities:
- Design, build, and operate distributed services and compute infrastructure for the data platform, including containerized workloads on AWS ECS, autoscaling, resource sizing, and orchestration
- Own end-to-end design and development of scalable data pipelines and data-moving services from ingestion and orchestration through transformation and delivery
- Improve movement of event-sourced data from production systems into data infrastructure and back to other systems
- Participate in on-call for the data platform and own production issues in distributed data systems end to end
- Secure participant and employer data through PII classification and masking, role-based access controls, least-privilege patterns, encryption, key management, lineage, and audit trails supporting SOC 2 and regulatory obligations
- Lead technical direction and evolution of the data platform toward AI-first infrastructure, including AI consumption, unstructured data access, AI tooling, and production model and AI workloads
- Build interfaces for data engineers, analysts, and AI systems, and systems that move curated data from the warehouse 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, with significant experience in data-intensive systems such as data pipelines, data streaming platforms, and data infrastructure
- Experience designing distributed systems and services, including concurrency, backpressure, idempotency, partial failure, and related tradeoffs
- Hands-on experience running containerized workloads in production on AWS, including scaling, resource sizing, and performance and cost tuning under real load
- Ability to independently own and improve complex production systems
- Experience with 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 desire to leverage AI tools and workflow automation as the primary way work gets done
- Preferred: hands-on experience with event-sourced or append-only log systems, change data capture, or streaming platforms such as Kafka or Kinesis
- Preferred: working knowledge of cloud data warehouses such as Snowflake, including access control, performance tuning, and cost management
- Preferred: experience deploying and operating machine learning models in production
- Preferred: experience with data lakehouse architectures and open table formats such as Apache Iceberg or Delta Lake
- Preferred: experience building data infrastructure for AI-driven data access, including MCP, 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 match up to 4% of compensation, immediately vested, with $0 plan fees
- Top-of-the-line health plans, dental insurance, and vision insurance
- Competitive time off and parental leave
- Addition Wealth: Unlimited access to digital tools, financial professionals, and a knowledge center supporting financial wellness
- Lyra enhanced mental health support for employees and dependents
- Carrot fertility healthcare and family-forming benefits
- Candidly student loan resources
- Monthly work-from-home stipend
- Quarterly lifestyle stipend
- Team-building experiences, including virtual social events and team offsites
- Additional compensation components such as bonuses, commissions, and equity may be offered
- Physical, financial, and mental wellness benefits
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