At Esper, we’re on a mission to empower dynamic and responsive policymaking in government. We’re building the platform that connects existing data, stakeholders, and public policy goals into a single dynamic system, transforming bureaucracy into infrastructure that encourages innovation and collaboration.
As a fast-growing GovTech company, Esper is at the intersection of two powerful forces: the modernization of government operations and the transformative potential of data-driven decision-making. Our customer base is expanding rapidly, and we’re building the team that will define how public policy is shaped for decades to come.
What You'll Do
- Designing, building, and operating core services and product features end to end, from data model through API to the systems that run them in production
- Setting technical direction and roadmap for your areas in partnership with engineering leadership
- Participating fully in product development, working with product and design from an ambiguous problem statement through to a shipped feature
- Modeling the domain our customers work in — the entities, relationships, roles, and processes that make up a government agency and its work — and evolving that model as the product grows
- Providing technical mentorship and design review to other engineers
Esper is looking for an experienced Staff Software Engineer to join our team and take technical ownership of significant areas of our platform. This is a senior individual contributor role without direct reports. Because Esper's customers include state, local, and federal government agencies, the reliability, security, and compliance posture of our platform is central to the business.
As a senior member of the engineering team, you'll make a direct impact through:
Skills and Experience
- 8+ years of software engineering experience
- Strong programming skills in a language such as Java, Python, Go, or Rust, and willingness to work primarily in Java
- Experience owning services in production, including their data stores, deployment, and observability
- Experience with distributed systems and asynchronous or long-running workflows
- Experience with domain and data modeling, and the judgment to know when a model needs to change
- Experience building production software on AWS or a comparable cloud provider
- Familiarity with Docker and infrastructure as code such as Terraform
- Genuine interest in the product, not just the systems underneath it
- Strong communication skills — you will be working closely with all of engineering, as well as with product, design, auditors, and customer security teams
- Ability to write clear, detailed technical documentation
Bonus Points
- Experience shipping LLM-backed or agentic features to production users
- Hands-on experience with agent frameworks such as Strands Agents, the Vercel AI SDK, LangChain4j, Spring AI, LangGraph, Pydantic AI, or the OpenAI Agents SDK
- Experience with workflow orchestration platforms such as Temporal, Cadence, or Step Functions
- Experience with Amazon Bedrock or AgentCore, or with deploying agents into a managed runtime
- Experience building evaluation, tracing, or quality monitoring tooling for LLM systems
- Experience with ontology modeling or knowledge graphs
- Experience with Kubernetes, GitOps pipelines, and cloud architecture best practices
- Experience implementing technical controls for SOC 2, ISO 27001, or a comparable framework, including direct participation in audits
- Experience taking a product through a FedRAMP or StateRAMP authorization
- Experience at a govtech or other compliance-driven organization
Perks and Benefits
- Being a part of an innovative and collaborative team that will both support and challenge you
- Significant opportunity for growth and ownership
- Ability to shape Esper for the long-term
- Paid holidays & unlimited PTO
- Medical, dental, and vision insurance
- Generous parental & sick leave
- 401(k) retirement plan with employer match
- Short/Long term disability & life insurance
- Flexible spending account (FSA)
- Work anniversary equity grants
- Quarterly bonuses
- Monthly stipend to offset remote work expenses
- Office equipment allowance
- Paid Time Off to participate in volunteer/community events
Skills Required
- 8+ years of software engineering experience
- Strong programming skills in Java, Python, Go, or Rust, with willingness to work primarily in Java
- Experience owning production services, including data stores, deployment, and observability
- Experience with distributed systems and asynchronous or long-running workflows
- Experience with domain and data modeling
- Experience building production software on AWS or a comparable cloud provider
- Familiarity with Docker and infrastructure as code such as Terraform
- Strong communication skills when working with engineering, product, design, auditors, and customer security teams
- Ability to write clear, detailed technical documentation
- Experience shipping LLM-backed or agentic features to production users
- Hands-on experience with agent frameworks such as Strands Agents, Vercel AI SDK, LangChain4j, Spring AI, LangGraph, Pydantic AI, or OpenAI Agents SDK
- Experience with workflow orchestration platforms such as Temporal, Cadence, or Step Functions
- Experience with Amazon Bedrock, AgentCore, or managed agent runtimes
- Experience building evaluation, tracing, or quality monitoring tools for LLM systems
- Experience with ontology modeling or knowledge graphs
- Experience with Kubernetes, GitOps pipelines, and cloud architecture best practices
- Experience implementing technical controls for SOC 2, ISO 27001, or comparable frameworks, including audit participation
- Experience taking a product through FedRAMP or StateRAMP authorization
- Experience at a GovTech or compliance-driven organization
What We Do
At Esper, we believe public policy should be transparent, data-driven, and accountable. We work with government and industry to analyze public policy and create better processes for the policymaking lifecycle through software. Our platform helps users streamline the policymaking process, engage with citizens, and track outcomes.
