Backend Engineer
Summary
Backend Engineer owning production-grade backend services, data pipelines, and AI evaluation frameworks end-to-end for a global tech organization, using language-agnostic backend development with SQL and NoSQL databases.
Summary
TEKsystems is a leading provider of technology consulting, committed to delivering innovative solutions and exceptional service to our clients. We’re hiring a Backend Engineer to join a high‑performing engineering team at a global technology-driven organization. This is a hands‑on, production‑focused development role: you’ll own your services end‑to‑end, from architecture through deployment and live debugging, working directly with product and business stakeholders.
Key Responsibilities:
- Design and build production‑grade backend services powering sales enablement and product‑launch initiatives.
- Build and maintain data pipelines for ingestion, transformation, and aggregation feeding these systems.
- Build evaluation frameworks to monitor and improve AI output quality before and after release.
- Own deployment and act as the first point of contact for debugging production issues.
- Work directly with business and technical stakeholders as the primary technical contact for your initiative.
- Advocate for performance optimization, automation, and strong test coverage (unit and integration).
Must Have Skills:
- 5+ years designing and building commercial / enterprise‑grade backend platforms or components.
- Strong programming ability. The role is language‑agnostic.
- Practical experience with both SQL and NoSQL.
- Strong grounding in concurrency, scalability, and fault‑tolerant system design.
- Excellent debugging, critical thinking, and communication skills; comfortable as the go‑to technical contact for non‑engineering stakeholders.
Good to haves:
- Strong programming ability in Python is a plus.
- Hands‑on experience building and shipping LLM‑based products in production (chatbots, agents, or similar).
- Experience building agents on AWS Lambda / serverless architectures.
- Experience with Kafka or similar event streaming / dataflow systems.
- Experience building or working with AI evaluation frameworks / harnesses.
We regret to inform that only shortlisted candidates will be notified / contacted.