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Human Interest is a finance and fintech company that helps small and medium-sized businesses offer workplace retirement benefits through full-service 401(k) and 403(b) plans. Founded in 2015, the company combines payroll integrations with more than 500 payroll systems, low-cost investment options, and customizable plan features to simplify retirement administration for employers and their teams. Its services also include investment advisory support through Human Interest Advisors LLC, with a broader focus on making retirement savings more accessible and supporting employee financial wellness.
Senior Software Engineer, Data Platform — Remote
Build and operate distributed data infrastructure for Human Interest’s retirement fintech platform. Lead scalable pipelines, AWS services, data security, and AI-ready platform development.
Description
- Design and operate distributed data-platform services and AWS ECS infrastructure, including container orchestration, autoscaling, sizing, and workload management.
- Develop scalable data pipelines and data-movement services spanning ingestion, orchestration, transformation, and delivery.
- Improve event-sourced data flows between production systems, data infrastructure, and downstream services.
- Join the data-platform on-call rotation and resolve production issues across distributed data systems.
- Protect participant and employer data with PII classification and masking, role-based access, least privilege, encryption, key management, lineage, and audit trails that support SOC 2 and regulatory requirements.
- Set the technical direction for an AI-first data platform, covering AI consumption, unstructured data access, AI tooling, and production AI and model workloads.
- Create interfaces for data engineers, analysts, and AI systems, including pathways that deliver curated warehouse data to production services and downstream tools.
- Mentor engineers and analysts while strengthening testing, code review, and operational-readiness practices.
Requirements
- At least five years of experience building and operating production software, including substantial work with data pipelines, streaming platforms, or data infrastructure.
- Experience designing distributed systems and services, with an understanding of concurrency, backpressure, idempotency, partial failure, and related tradeoffs.
- Production experience running containerized AWS workloads, including scaling, resource sizing, and performance and cost optimization under real-world load.
- Ability to independently take ownership of complex production systems and drive their improvement.
- Experience with automated testing, code review, CI/CD, and infrastructure as code, such as Terraform.
- Experience operating workflow orchestration at scale with Airflow or comparable tools.
- Strong interest in using AI tools and workflow automation as the primary approach to completing work.
- Preferred: practical experience with event-sourced or append-only log systems, change data capture, or 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 developing AI-focused data access infrastructure, including MCP, AI data governance, and evaluation of AI-generated query results.
- Preferred: experience in fintech, financial services, or another regulated or compliance-focused industry.
Benefits
- 401(k) plan with a dollar-for-dollar employer match up to 4% of compensation, immediate vesting, and no plan fees.
- Comprehensive health, dental, and vision insurance plans.
- Competitive paid time off and parental leave.
- Addition Wealth access to digital financial tools, financial professionals, and educational resources.
- Lyra enhanced mental health support for employees and dependents.
- Carrot fertility and family-forming healthcare benefits.
- Candidly resources for student loan support.
- Monthly work-from-home stipend.
- Quarterly lifestyle stipend.
- Team-building opportunities such as virtual social events and team offsites.
- Additional compensation, including bonuses, commissions, or equity, may be available.
- Physical, financial, and mental wellness benefits.
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