Summary
✨ AI‑Generated
A global engineering organization is seeking a senior Golang engineer to build internal platforms and cloud-native infrastructure. The role focuses on Kubernetes extensions, automation, developer tools, and AI-enabled workflows.
Highlights
Work on advanced platform infrastructure, developer tooling, and AI-enabled engineering solutions with strong technical ownership.
Description
We are looking for a Senior Golang Engineer to help build and scale our core platform infrastructure.
In this role, you will focus on Developer Experience (DevEx), designing internal developer platforms, and extending Kubernetes capabilities through custom resources and operators.
Responsibilities
Building AI & Agentic Platforms: Design and implement Golang-based AI workspace tools, agentic platform components, and LLM-driven engineering workflows for cross-bank adoption.Architecting Kubernetes Operators & Services: Build custom Kubernetes operators, controllers, and CRDs to streamline cloud migration and automate service lifecycle management.Developing Service Blueprints: Construct standardized service blueprints that seamlessly integrate internal shared services (authentication, secrets management, logging, and metrics).Enhancing Developer Experience (DevEx): Design intuitive internal tools, libraries, and platform APIs that reduce cognitive load and accelerate developer velocity across the bank.
Requirements
Deep Golang Expertise: Go as your primary language for building scalable platform services, APIs, and CLI tooling.Advanced Kubernetes Internals: Thorough knowledge of Kubernetes architecture, control plane mechanics, custom resource definitions (CRDs), and operator design patterns (e.g., core concepts from Kubernetes in Action).Platform Engineering Mindset: Proven track record of building internal platforms, shared libraries, or developer infrastructure for other software engineering teams.
Nice to have
T-Shaped Background: Specializations across Cloud Infrastructure, Ops, SRE, and Platform Engineering.Infrastructure as Code: Strong hands-on experience with Terraform for cloud infrastructure management.Polyglot Exposure: Experience with Python or JVM languages (Java, Kotlin, Scala).AI & LLM Integration: Practical experience working with LLM APIs, agentic frameworks, or AI-assisted coding tools.
We offer
Opportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, sportsCorporate social eventsProfessional development opportunitiesWell-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.