Forbytes
Senior Full-Stack Developer(Python)
Senior Full-Stack Engineer (Python-first) with strong back-end depth and solid front-endfluency. You’ll take ownership of core services and distributed evaluation pipelines, harden them for scale and reliability, and help guide architecture as we grow from “works at scale” to “enterprise-grade.” This is an IC role with a clear path to team lead as we expand.
Key Responsibilities:
- Design, build, and own Python microservices powering evaluation, gating, and optimization workflows
- Extend distributed computing for large-scale evaluations using Ray/Optuna (or similar)
- Architect cloud-native data/optimization pipelines with strong SLAs and fault tolerance
- Define and maintain clean APIs and event/async communication across services
- Drive performance, observability, tracing, and reliability (metrics, logs, alerts)
- Automate build/test/deploy with Docker, Kubernetes, and CI/CD pipelines
- Contribute to and integrate with the CLI/SDK and support light React/TypeScript UI needs
- Collaborate closely with the founder/CTO and product/design/devrel on roadmap and milestones
- Use LLM-assisted tooling to accelerate coding, reviews, documentation, and tests
Required Skills & Experience:
- 6+ years in software engineering with strong Python back-end experience
- Proven track record with distributed systems and microservices (async/event-driven)
- Hands-on with Ray, Optuna, or comparable distributed/optimization frameworks
- Strong API design, data pipeline design, and service-to-service integration skills
- Production experience on AWS/GCP/Azure; solid Kubernetes + Docker + CI/CD
- Working knowledge of React/TypeScript/Next.js for light full-stack tasks
- Obsessed with quality: testing, automation, code health, and continuous improvement
- Excellent communication in English; self-driven and comfortable in a fast-moving startup
Nice to Have:
- Experience with evaluation-driven or LLM-assisted development workflows
- Background in distributed optimization, experiment design, or scheduling at scale
- Deep observability chops (tracing, profiling, cost/latency budgeting)
- DevOps/SRE familiarity (infra-as-code, security hardening, multi-tenant SaaS)
- Data/ML plumbing (feature stores, vector DBs, retrieval)
- Contributions to developer tooling (CLI/SDKs) or platform enablement
Mariia Kryvonis
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We offer
People: The new team is just being built. You will work directly with our client’s side representative and have your influence on the crucial designs and architecture of the applications.
Self-development: We guarantee regular challenges and the ability to make your own decisions, you will be able to visit leading international tech conferences and organize meetings on the client’s side.
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