About this opportunity
Grid Dynamics lists this Senior Python Engineer opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Our team builds the developer tooling, platforms, systems and experiences that power Cloud AI Platform. In this role you will partner directly with internal customers to understand their use cases, evaluate technical requirements, and build AI-driven systems and solutions that leverage Cloud AI Platform capabilities. You will prototype quickly, harden solutions for production, build services and feed insights back to platform teams to influence roadmap and improve the developer experience.
You will also act as a bridge between product management, partner platform, and customer teams by helping define best practices, documenting patterns, and working closely with platform engineering groups to drive alignment and deliver systems. Success in this role requires a combination of strong engineering fundamentals, applied ML awareness, platform thinking, customer empathy, and the ability to deliver in fast-evolving environments.
Requirements:
3-5+ years of professional software engineering experience
Strong Python - production services, not just scripting
Demonstrated experience designing and operating microservice architectures (service boundaries, inter-service communication, failure handling)
Production React experience - component architecture, state management, and integrating against REST backends
Hands-on Splunk experience: writing searches, building dashboards, using logs to drive root cause analysis
Operations and maintenance experience on live systems: deployments, observability, performance tuning, incident response
Experience building Claude skills or agent workflows (Claude Code skills, MCP servers, or comparable LLM tooling), with a clear sense of what makes an agent workflow reliable
Proven ability to self-direct and troubleshoot independently with minimal handholding
BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience
Responsibilities:
Partner directly with internal product teams to understand AI/ML use cases and translate requirements into technical solutions.
Build production-ready services, integrations, workflows, and developer tooling on top of Cloud AI Platform.
Prototype solutions rapidly, validate approaches with customers, and harden successful prototypes for production.
Identify recurring customer needs and translate them into reusable platform capabilities and tooling.
Collaborate with platform teams to improve APIs, SDKs, workflows, documentation, and developer experience.
We offer:
Opportunity to work on cutting-edge projects
Work with a highly motivated and dedicated team
Corporate social events
Well-equipped office
About us:
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
#J-18808-Ljbffr
Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.