Senior Golang Developer | Defence-Tech Project
Europe - Remote
GT
GT provides high-growth product companies around the world with offshore product teams from Eastern Europe, an end-to-end product development studio, software development, and data science services.GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.
On behalf of our partner in the defence-tech domain, GT is looking for a Senior Golang Developer interested in AI, ML and aerospace.
About the Client:
Our client is a cutting-edge Aerospace and Defense company committed to delivering innovative, secure, and compliant solutions for our customers. They specialize in mission-critical technology services for government and private sector customers, ensuring excellence in aerospace systems design, performance, and compliance
About the Project & the Role:
This team is building secure, cloud-native infrastructure that powers mission-critical aerospace and defense systems for government and private sector clients. The backend systems they develop must meet the highest standards of reliability, performance, and compliance, supporting everything from real-time data processing to ML-integrated features used in the field.
They are now looking for a skilled and mission-driven Senior Golang Developer to join the product engineering team. In this role, you’ll take ownership of designing, building, and scaling backend services that are both secure and high-performance. You’ll work across cloud infrastructure, data systems, and ML integration to support modern defense and aerospace applications where resilience and precision are non-negotiable.
Responsibilities:
Architect Secure Systems: Design, build, and maintain secure backend services and APIs using Go as a primary language.
Design Scalable Infrastructure: Define system architecture with a focus on reliability, fault tolerance, and long-term scalability.
Data Modeling: Create and manage performant, auditable database schemas in Postgres.
Support ML Integration: Collaborate with the AI Architect to support data pipelines and deploy ML-powered features; understand model serving and inference integration.
Cloud & DevOps: Deploy cloud-native services using AWS, Kubernetes, and CI/CD pipelines.
Event-Driven Workflows: Build reactive systems using Kafka, Redis Pub/Sub, or similar tools.
Security-First Engineering: Adhere to security and compliance standards (DoD, FedRAMP, NIST); implement authentication, encryption, and audit controls.
Cross-Functional Work: Partner with product managers, QA, and front-end teams to deliver end-to-end features.
Code Quality: Lead and participate in peer reviews to uphold code reliability, clarity, and maintainability.
Documentation: Produce high-quality documentation for APIs, system architecture, and backend workflows.
Essential knowledge, skills & experience:
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, or a related technical discipline.
5+ years of backend engineering experience, ideally in regulated or high-availability environments (e.g., defense, aerospace, finance, or healthcare).
Deep expertise in Go, including experience building and scaling microservices-based systems.
Familiarity with machine learning processes — understands common model types, inference workflows, and how to interface with ML systems.
Familiarity with Python for infrastructure scripting (CI/CD, DevOps tasks only).
Hands-on experience with Postgres/MongoDB and scalable data models.
Proficiency in Kubernetes, Docker, and CI/CD pipelines.
Experience with cloud platforms, ideally AWS (GCP or Azure also acceptable).
Working knowledge of event-driven systems (Kafka, Redis, or equivalents).
Solid understanding of secure software development, encryption, and authentication standards.
Strong communication and collaboration skills — comfortable working cross-functionally and mentoring junior engineers.
Interview Steps:
GT interview with Recruiter
Technical interview
Final interview
Security Check
We go beyond usual perks… By working with us, you will get:
Health insurance.
Psychotherapy coverage.
Sport coverage.
Learning budget.
Paid vacations
Paid sick leaves.
All public holidays are paid days off.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure CI/CD Computer Science Data pipelines DevOps Docker Engineering Finance GCP Golang Kafka Kubernetes Machine Learning Mathematics Microservices MongoDB Pipelines PostgreSQL Python Security
Perks/benefits: Career development Health care Startup environment
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