Software Engineer II

Overview

• Own features end-to-end, from ambiguous problem to shipped product, across both frontend and backend, moving fast in early-stage product environments.
• Build responsive, user-facing interfaces and the backend services that power them.
• Use AI-assisted development tools (e. g., Claude Code, Copilot, Cursor) to accelerate your workflow and help the team adopt these practices.
• Break down ambiguous problems into well-scoped specifications that enable fast, reliable iteration with agentic tooling.
• Lead technical discussions with clients and internal teams, translating business needs into engineering decisions.
• Contribute to system design and architecture, making pragmatic trade-offs given real-world constraints.
• Mentor junior engineers through pairing sessions (mob or 1:1) and code reviews.
• Communicate proactively and async-first, including writing clear documentation, RFCs, and decision records.
• Adapt to different roles, stacks, and problem spaces as projects evolve.
• Ship iteratively with small batches, continuous deployment, and tight feedback loops.
  
  

• 3-5 years of software development experience (or fewer with a strong track record of shipping products independently).
• Track record of building consumer-facing products from 0 to 1 at scale, ideally taking an idea from concept to live users.
• Experience using AI-powered development tools to ship faster and improve code quality.
• Comfort with ambiguity; the ability to thrive when the spec is thin.
• At least 1 year of experience making system design decisions in production environments.
• Track record of debugging production issues and improving system observability.
• Strong written and verbal communication skills with a collaborative, client-facing mindset.
• Deep expertise in at least one backend language: Java, Python, JavaScript/TypeScript, or Go.
• Familiarity with a modern frontend framework (React, Next.js, Vue, or similar) and comfort working across the UI layer.
• Experience building and consuming APIs: REST, gRPC, webhooks, and auth patterns (OAuth 2 JWT).
• Solid understanding of database technologies and trade-offs: SQL, NoSQL, caching (Redis), search (Elasticsearch), and basics of data warehousing.
• Understanding of architectural patterns: monolith vs. microservices, event-driven architecture, fault tolerance (load balancing, circuit breakers, retries).
• Experience with CI/CD pipelines, trunk-based development, and feature flags.
• Strong testing discipline across unit, integration, and end-to-end testing. In an AI-accelerated workflow, automated tests are the safety net that lets you ship fast without breaking things.
• Understanding of security best practices across the stack.
• Treat observability as a first-class concern by instrumenting your systems so when something breaks in production, you can pinpoint why within minutes, not hours.
• Experience integrating LLM APIs, building RAG pipelines, or shipping AI-powered product features.
• Startup or early-stage company experience.
• Contributions to open-source projects.
• Experience with observability tooling (Prometheus, Datadog, OpenTelemetry, etc).
  
  

This job was posted by Vibha from Infraspec.