Senior Golang Engineer - Research Computing Platform

Essential functions

Key Responsibilities

• Design, develop and maintain production-grade backend services and platform tooling using Go.

• Build research-facing HTTP APIs and Python client libraries for submitting and managing computational workflows.

• Develop services supporting task graphs (DAGs), job submission, retries, cancellation, logging and resource profiling.

• Integrate with cluster workload schedulers, translating researcher workloads into efficient execution plans.

• Design and maintain platform state services and relational databases to track jobs, resources and execution status.

• Implement secure authentication, encryption and secrets management, including PKI, key management and token-based authentication.

• Develop automation for host lifecycle management, including draining, rebuilding and patching compute infrastructure.

• Build containerised job execution tooling using Docker and Podman, managing credentials, encrypted working directories, metrics and cleanup.

• Develop and maintain CI/CD pipelines and automated deployment processes across development, pre-production and production environments.

• Work closely with infrastructure, platform and research engineering teams to deliver reliable and scalable solutions.

• Use AI-assisted development tools and modern LLMs as part of everyday engineering workflows.

Qualifications

Essential Skills & Experience

• Strong commercial experience developing production backend services and systems using Go (Golang).

• Solid understanding of Linux systems, infrastructure, networking and operating system fundamentals.

• Hands-on experience with containers, particularly Docker or Podman.

• Strong relational database experience, ideally PostgreSQL and/or MariaDB/MySQL.

• Experience designing database schemas and modelling complex system state.

• Practical knowledge of secrets management, encryption and security, including Vault or equivalent secrets stores, PKI, asymmetric cryptography and token-based authentication.

• Experience building and operating CI/CD pipelines and automated deployment processes.

• Strong understanding of distributed systems, reliability and production engineering.

• Ability to take ownership of technical deliverables, make architectural decisions and solve complex engineering problems.

• Experience using AI-assisted development tools and recent AI models as part of the software engineering process.

• Excellent communication and collaboration skills.

Would be a plus

Desirable Experience

• High-performance computing (HPC) or batch scheduling environments.

• Experience with Slurm or similar workload schedulers.

• Workflow orchestration technologies such as Temporal.

• Python development, particularly for APIs and client libraries.

• Experience building internal developer platforms or tooling used by other engineering teams.

• Exposure to GPU workloads and high-performance compute infrastructure.

• Experience with on-premises infrastructure and cloud environments, particularly AWS.

• Experience with GitLab CI/CD and Ansible.

• Background in quantitative finance, scientific computing or research engineering.

Technology Stack

Backend: Go, Python
Databases: PostgreSQL, MariaDB, MySQL
Infrastructure: Linux, on-premises infrastructure, AWS
Containers: Docker, Podman
Scheduling: Slurm / HPC workload management
Security: Vault, PKI, encryption, token-based authentication
DevOps: GitLab CI/CD, Ansible
Architecture: Distributed systems, microservices, workflow orchestration, event-driven services

The Ideal Candidate

We are looking for an experienced Go Engineer who enjoys solving challenging backend, systems and infrastructure problems.

You should be comfortable working close to the underlying infrastructure, including Linux hosts, containers, schedulers, storage and networking, while building reliable services that other engineers and quantitative researchers depend on.

You will bring strong engineering fundamentals, a security-conscious mindset and the ability to take ownership of complex technical projects. Experience in HPC or quantitative finance would be advantageous, but strong Go and systems engineering experience are the priority.

Why Join JUXT?

JUXT is a premium software consultancy working with some of the world's largest financial institutions. We are a team of experienced engineers who enjoy solving complex technical challenges and delivering high-quality software.

You will work alongside talented engineers on a strategically important platform within a leading quantitative investment firm, with opportunities to influence architecture, engineering standards and technical direction.

Location & Working Pattern

• Location: London

• Working arrangement: Hybrid

• Office attendance: 3 days per week

• Engagement: Embedded engineering team working with a leading global quantitative investment firm

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

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.