Lead I - Software Engineering

Lead I - Software Engineering

Embed with internal teams and external customers to understand their workflows, pain points, and goals — then design and deploy solutions that fit.

Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.

Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.

Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.

Partner with end users and stakeholders — running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.

Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.

Monitor and improve solutions for reliability, performance, and adoption after launch — you own outcomes, not just deliverables.

Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.

8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.

Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.

Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows).

A track record of customer-facing or forward-deployed work — you've shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders.

You've led projects, set technical direction, and raised the bar for those around you — formally or informally.

Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value.

Bias for action: You ship, learn, and iterate.

Experience deploying AI/ML or LLM-based solutions in an enterprise setting.

Cloud experience (AWS, GCP, or Azure) and familiarity with CI/CD and containerization.

Experience as a founding or early member of a new team or function.

Telecommunications or large-scale enterprise data domain knowledge.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.