At a Glance
- Tasks: Design and develop scalable backend services using Golang for Generative AI platforms.
- Company: Join a dynamic team at the forefront of AI in financial services.
- Benefits: Enjoy a competitive salary, flexible schedule, and comprehensive benefits package.
- Other info: Great opportunities for professional development and collaboration with talented engineers.
- Why this job: Work on cutting-edge projects and shape the future of AI technology.
- Qualifications: Strong Golang experience and knowledge of distributed systems required.
The predicted salary is between 60000 - 80000 £ per year.
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
- 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.
Senior Golang Engineer - Generative AI Platform in London employer: Grid Dynamics
Join us as a Senior Golang Engineer and be part of a dynamic team at the forefront of Generative AI technology within the global financial services sector. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional growth, offering competitive salaries, flexible schedules, and comprehensive benefits including medical insurance and opportunities for continuous learning. Our well-equipped office and commitment to corporate social events create an engaging environment where your contributions will make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Golang Engineer - Generative AI Platform in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Grid Dynamics or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Grid Dynamics.
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Grid Dynamics that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Golang Engineer - Generative AI Platform in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Grid Dynamics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Grid Dynamics and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Grid Dynamics
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Grid Dynamics uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.