Senior Golang Engineer - Generative AI Platform
We are seeking a Senior Golang Engineer to join a growing team focused on building enterprise-scale Generative AI platforms and developer tooling.
This is an opportunity to work at the intersection of cloud-native engineering, distributed systems, and AI, helping deliver the next generation of AI-enabled capabilities within a global financial services environment.
We're looking for strong T-shaped engineers with deep expertise in Golang and broad engineering capability across Kubernetes, platform engineering, DevOps, scalability, and distributed systems. Commercial AI experience is not required, but a genuine interest in Generative AI and emerging technologies is essential.
Essential functions
Design, develop and operate scalable backend services using Golang.
Build cloud-native platforms supporting Generative AI and LLM-powered applications.
Develop reusable libraries, frameworks and internal developer tooling.
Design and implement distributed systems with a focus on reliability, performance and scalability.
Collaborate with platform, infrastructure and AI engineering teams.
Drive engineering best practices, observability, automation and operational excellence.
Mentor engineers and contribute to technical leadership across the team.
Qualifications
Strong commercial experience developing software in Golang.
Deep understanding of distributed systems and backend architecture.
Strong Kubernetes knowledge and experience running applications in production.
Experience with microservices, APIs, event-driven architectures and cloud-native technologies.
Strong understanding of CI/CD, DevOps and platform engineering principles.
Experience building highly scalable, resilient systems.
Excellent communication and stakeholder management skills.
Kubernetes
Candidates should possess a strong understanding of Kubernetes concepts equivalent to the core topics covered in Chapters 1–6 of:
Kubernetes in Action
Including:
Pods, Deployments and ReplicaSets
Services and Networking
ConfigMaps and Secrets
Resource Management
Health Checks and Application Lifecycle
Namespaces and Workload Management
Kubernetes Architecture and Operational Concepts
Would be a plus
Generative AI
Commercial AI experience is not required.
However, candidates should demonstrate:
Strong interest in Generative AI and LLM technologies.
Understanding of modern AI tooling and frameworks.
Experience experimenting with AI-assisted development tools.
Curiosity around agentic systems, RAG architectures, and enterprise AI adoption.
Desirable Skills
Experience with AI/ML platforms or developer productivity tooling.
AWS, Azure or GCP experience.
Experience with Kafka, messaging systems or event-driven architectures.
Financial services or regulated industry experience.
Platform Engineering or Internal Developer Platform experience.
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
Well-equipped office
We cannot offer Sponsorship for this role
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.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.