Lead Forward Deployment Engineer
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At a glance
Job overview
Mode Analytics seeks an architect-level Lead Engineer to own its custom internal tools initiative. The role involves designing, building, and operating backend services that replace enterprise SaaS platforms, establishing AI‑augmented development practices, and mentoring new college graduates while collaborating across sales, pre‑sales, and project management teams.
Skills & qualifications
Skills
Qualifications
Full job description
About The Role:
We are looking for an architect-level Lead Engineer to own our custom internal tools initiative. You will lead a lean, AI-augmented team to design, build, and operate internal software that replaces major enterprise SaaS platforms. This role combines strong backend architecture and system design with hands-on delivery: you will define the technical blueprints, host and scale applications from scratch, and mentor new college graduates into productive engineers.
What You'll Do:
- Backend Architecture & System Design: Design scalable backend services, data models, and integration architectures for internal tools replacing complex SaaS platforms. Set and enforce architectural standards across the team.
- Understanding Use Cases: Work directly with stakeholders to understand business use cases deeply, translate ambiguous requirements into clear technical designs, and make pragmatic build-vs-buy and scope trade-offs.
- Hosting & Scaling from Scratch: Own the full lifecycle of internal applications — provisioning infrastructure, deploying, scaling, monitoring, and operating them in production.
- CI/CD Ownership: Build and maintain end-to-end CI/CD pipelines with automated testing, code scanning, and branch-protection guardrails — the definitive quality gate for all code, including AI-generated code.
- AI-Assisted Development: Use AI development tools (e.g., Claude Code, Cursor) to accelerate delivery, and establish team practices for reviewing, refactoring, and hardening AI-generated code.
- Cross-Functional Collaboration: Partner with Sales, Pre-Sales, Project Management, and other internal teams to prioritize work, gather feedback, and iterate quickly.
- Technical Mentorship: Guide new college graduates and junior engineers on architectural first principles, code quality, security, and effective AI-assisted development.
What You Bring:
- 7+ years building production-grade, full-stack applications (e.g., Python, Node.js, Go, React, relational and vector databases).
- Strong backend architecture and system design skills — proven ability to design distributed systems and critically evaluate, refactor, and modularize sub-optimal code, including LLM-generated code.
- Core knowledge of Kubernetes, Docker, cloud platforms (AWS/GCP), and distributed systems; experience running multi-service containerized environments in production.
- Demonstrated experience hosting and scaling internal applications from scratch, including building CI/CD pipelines end to end (GitHub Actions, GitLab CI, or Jenkins).
- Adept with AI development tools and agentic coding workflows; hands-on experience using them to ship real products.
- Working knowledge of secure SDLC practices: automated static/dynamic code scanning, secret detection, and OWASP Top 10 awareness built into the pipeline.
- Strong cross-functional collaboration and communication skills; able to work directly with non-engineering stakeholders and turn use cases into shipped software.
- Track record of mentoring junior engineers.
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