Senior Golang Engineer - Generative AI Platform

Grid Dynamics; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Medical insurance

Professional development opportunities

Corporate social events

Job summary

Grid Dynamics is seeking a Senior Golang Engineer to help build enterprise-scale Generative AI platforms and developer tooling. This role involves designing and developing scalable backend services, focusing on cloud-native engineering and distributed systems.

The ideal candidate will have deep expertise in Golang and strong knowledge of Kubernetes, with excellent communication skills. The position offers opportunities for professional development, flexible schedules, and a competitive salary.

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 building highly scalable, resilient systems.

Responsibilities

• Design, develop and operate scalable backend services using Golang.
• Build cloud‑native platforms supporting Generative AI.
• Drive engineering best practices, observability, automation and operational excellence.
• Mentor engineers and contribute to technical leadership across the team.

Skills

Golang

Distributed systems

Kubernetes

Microservices

APIs

CI/CD

DevOps

Event-driven architectures

Tools

AWS

Azure

GCP

Kafka

Job description

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.

Responsibilities

• 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.

Requirements

• 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

Nice to have

Generative AI

Commercial AI Experience Is Not Required.

• 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