Ai First Engineer - Senior to Lead level
Confidential
Posted: February 4, 2026
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Quick Summary
We're looking for an experienced AI-First Software Engineer who uses AI as a force multiplier, not a replacement for deep engineering expertise. You'll architect, build, and operate high-quality production systems across backend, web, and mobile layers.
Required Skills
Job Description
We’re looking for an experienced AI‑First Software Engineer who uses AI as a force multiplier, not a “replacement” for deep engineering expertise. You’ll architect, build, and operate high‑quality production systems across backend, web, and mobile layers. This role requires strong command of Java/Spring microservices, open‑source engineering, cloud delivery, security‑first design, and responsible AI‑assisted development.
What You’ll Do:
• Own complex systems end‑to‑end: design, build, test, deploy, and operate Java/Spring Boot microservices with clear contracts and SLOs
• Govern AI‑assisted code: prompt, evaluate, validate, and harden AI‑generated outputs with strong engineering judgement
• Engineer for resilience using patterns like circuit breakers, retries, rate limiting, and load balancing
• Apply enterprise integration patterns such as pub/sub, producer‑consumer, message buses, and API gateways
• Consistently deliver Clean Code, SOLID, and proven Design Patterns across services
• Build and maintain CI/CD pipelines, IaC modules, and secure delivery workflows
• Drive TDD/BDD with comprehensive test suites (unit, contract, integration, E2E, and stress testing)
• Implement meaningful observability across metrics, logs, and traces for production debugging and stability
• Apply strong security practices, including OIDC/JWT‑based auth, secret management, and least‑privilege design
• Collaborate across web and mobile channels (native Android/iOS or modern Web apps) to ensure full‑stack alignment
• Build solutions suitable for regulated environments with strong auditability and compliance controls
How You’ll Work:
• AI‑Augmented, Engineer‑Led: You’ll use AI tools daily to improve speed and quality, while maintaining full ownership of engineering decisions.
• Hands‑On Technical Leadership: Drive design, architecture, patterns, and best practices while still coding.
• Collaboration & Clarity: Use PRs, ADRs, design docs, and measurement‑driven engineering to support team-wide excellence.
Technologies You’ll Work With:
Java, Spring Boot/Cloud, Kafka, REST, Keycloak, Docker, Kubernetes, Helm, Terraform/Bicep, GitHub Actions/Azure DevOps, OpenTelemetry, Prometheus, Grafana, ELK, JUnit, Testcontainers, Cucumber, Pact, JMeter/Gatling, SQL & NoSQL stores, and modern web/mobile frameworks.