Senior Full-Stack Engineer

Role Description

This is a remote position.

Supercharge Your Career as a Senior Full-Stack Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

Senior Full-Stack Engineer — Python, Temporal & AI Workflows (US)

What’s in it for You?

• Build internal apps, AI workflows, AI agents, and backend integrations powering Finance and Supply Chain operations for a Tier-1 client.
• The work spans Python services, React front-ends, API and enterprise integrations, and Temporal-based durable workflows — plus production support for what you ship.
• This is a hands-on IC role for engineers who move fast, build reliable software, and can drive ambiguous business workflows to done with minimal hand-holding.
• Some engineers in this role will be evaluated against the client's own senior engineering standards, so we hire people who can hold that bar.

Qualifications

• 5+ years building production software, with strong recent Python (async, typing, testing discipline).
• Solid CS fundamentals — data structures, algorithms, complexity — strong enough to pass a rigorous coding interview.
• Backend and API depth: designing, building, and integrating services; handling failure, idempotency, and data consistency.
• Working React proficiency — can build and maintain functional front-ends for internal tools.
• Proven ability to work through ambiguous business workflows independently and ship reliably and quickly.
• Strong written and verbal communication; comfortable defending design decisions with client engineers.
• Legally authorized to work in the US.

Requirements

• Hands-on Temporal (or equivalent durable-execution engines like Cadence, Step Functions) — understands determinism constraints, activity/workflow boundaries, signals/queries, durable timers, versioning, worker scaling.
• Experience building AI workflows or agents — LLM orchestration, tool/function calling, retrieval, evals, guardrails.
• Finance and/or Supply Chain domain exposure, or experience with enterprise system integrations.
• Production ownership: on-call, observability (logs/metrics/tracing), safe deploys.

Benefits

• Clean, testable, idiomatic code and a high personal quality bar — reviewers rarely need to ask twice.
• Can decompose a vague, open-ended problem into a correct, incremental plan and explain the reasoning clearly.
• Fast learner — picks up unfamiliar codebases, domains, and tools quickly.
• Track record of shipping reliable systems in fast-moving, high-stakes environments.