Senior Software Engineer

Posted Yesterday
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Natural Language Processing • Software
The Future of Work The AI Agent Platform Built for Insurance
The Role
Build and operate resilient backend microservices, asynchronous workflows, and distributed systems for insurance automation. Partner with product teams to analyze requirements, identify edge cases, and make pragmatic technical decisions. Design for multi-tenant reliability, fault tolerance, and recovery. Contribute to React dashboards when needed, use AI development tools, and own services through schema design, testing, deployment, observability, and production troubleshooting.
Summary Generated by Built In
Senior Software Engineer

About the Role

Bevaya builds high-reliability, AI-first workflow automation engines for the insurance sector. Our platform orchestrates complex business logic, document processing, and automated decision-making where data integrity, auditability, and execution guarantees are critical.

We are looking for a hands-on Senior Software Engineer who brings strong systems instincts, analytical depth, and pragmatic judgment to product engineering. Our backend services and asynchronous workers are built primarily in TypeScript and Python, backed by PostgreSQL, with a modern React frontend.

In this role, you will act as an active product partner—evaluating requirements critically, exposing unhandled edge cases before committing code, and utilizing modern AI tooling to multiply your delivery speed. You will own services end-to-end, with a focus on building resilient, fault-tolerant software that directly addresses high-stakes business workflows.

Key Responsibilities
  • Design, build, and maintain resilient backend services and asynchronous workflows that power complex insurance lifecycles and document intelligence.

  • Collaborate closely with product and domain teams to translate business needs into technical reality—critically analyzing requirements, surfacing unhandled edge cases early, and advocating for simpler solutions.

  • Architect for operational reliability, ensuring fair multi-tenant isolation, mitigating resource contention, and designing tasks to recover cleanly from timeouts and system failures.

  • Step into our React frontend when needed to build operational dashboards, administrative tooling, and workflow inspection views following existing patterns.

  • Leverage modern AI developer tooling (code generation, test scaffolding, and refactoring tools) to eliminate routine boilerplate and maintain high engineering velocity.

  • Own services end-to-end, from schema design and automated testing through deployment, observability, and production troubleshooting.

Qualifications
  • 5+ years of professional experience designing, building, and operating production backend microservices, APIs, and distributed systems.

  • Strong command of any modern backend language (e.g., Python, TypeScript, Go, Java, etc.), with the ability to work comfortably across TypeScript and Python.

  • Solid grasp of distributed systems fundamentals, including concurrency, asynchronous task processing, idempotency, and failure recovery.

  • Strong problem-solving skills and the ability to collaborate across technical and business teams.

  • Experience with relational database schema design, indexing, and query optimization (preferably PostgreSQL).

  • Track record of critically evaluating product requirements, spotting unhandled edge cases, and proposing pragmatic technical tradeoffs before writing code.

  • Ability to evaluate technical tradeoffs and communicate recommendations clearly.

  • Experience with automated testing, debugging, performance optimization, and version control.

  • Demonstrated comfort integrating AI developer tools (e.g., Claude Code, Cursor) into your daily engineering workflow.

  • History of driving engineering standards through high-signal code reviews and lightweight architecture design discussions.

Preferred Qualifications
  • Direct experience building or operating durable workflows with Temporal or Cadence.

  • Experience architecting multi-tenant backend systems with strict tenant isolation and fair resource allocation.

  • Hands-on experience with cloud infrastructure and object storage (specifically Azure Blob Storage or AWS S3).

  • Comfort navigating ambiguity, self-directing priorities, and shipping pragmatically in a fast-moving engineering environment.

Bevaya is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sexual orientation, gender identity, national origin, veteran or disability status. Bevaya is a progressive and open-minded workplace where we do not tolerate discrimination or harassment in any form. If you are smart, passionate and good at what you do, come as you are.

Bevaya is also committed to providing reasonable accommodations to individuals with disabilities throughout the application process and employment. If you need assistance or an accommodation, please contact us for more information.

Skills Required

  • 5+ years of professional experience designing, building, and operating production backend microservices, APIs, and distributed systems.
  • Strong command of a modern backend language and ability to work comfortably across TypeScript and Python.
  • Understanding of distributed systems fundamentals, including concurrency, asynchronous task processing, idempotency, and failure recovery.
  • Strong problem-solving and cross-functional collaboration skills.
  • Experience with relational database schema design, indexing, and query optimization; PostgreSQL preferred.
  • Ability to evaluate product requirements, identify edge cases, and propose pragmatic technical tradeoffs.
  • Ability to evaluate technical tradeoffs and communicate recommendations clearly.
  • Experience with automated testing, debugging, performance optimization, and version control.
  • Comfort integrating AI developer tools such as Claude Code or Cursor into daily engineering workflows.
  • Experience driving engineering standards through code reviews and architecture discussions.
  • Experience building or operating durable workflows with Temporal or Cadence.
  • Experience architecting multi-tenant backend systems with strict tenant isolation and fair resource allocation.
  • Hands-on experience with cloud infrastructure and object storage, specifically Azure Blob Storage or AWS S3.
  • Comfort navigating ambiguity, self-directing priorities, and shipping pragmatically in a fast-moving engineering environment.
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The Company
HQ: New York, New York
130 Employees
Year Founded: 2018

What We Do

Bevaya is the AI agent platform built for insurance. Our AI agents read, analyze, and recommend across underwriting, claims, and policy servicing. The work includes triage and clearance, rating, coverage analysis, and next-step recommendations, with 98%+ accuracy. Powered by InsurGPT™, an ensemble of specialized AI models trained on 300M+ insurance documents, Bevaya brings the precision insurance work demands. Carriers, brokers, and TPAs deploy Bevaya atop their existing systems, working alongside their teams. Trusted by 3 of the top 5 P&C carriers, 3 of the top 10 brokers, and 3 of the top 20 TPAs, Bevaya powers 120+ production deployments helping insurance organizations reach 3-4× capacity gains and measurable ROI from day one.

Why Work With Us

Bevaya is committed to building a culture where innovation thrives, and every team member is empowered to bring their best selves to work. We know that by nurturing a work environment where everyone feels included, supported, and inspired to grow, we can reach new heights together.

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