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 Engineer interested in AI and aerospace.
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.
Currently, they are working on the AI-driven collaborative framework for the Continuous Integration and Continuous Development (CI/CD) of defence hardware and software, through which US and allied-defense industrial base participants can cooperate to develop and modernize major defense platforms.
So, they are seeking a talented and experienced Senior Backend Engineer to join a mission-critical product engineering team. In this role, you will help build and scale the backend infrastructure powering aerospace and defense systems that demand the highest levels of security, reliability, and performance. You’ll work on cutting-edge technologies and help deliver innovative solutions that support the needs of government and private sector clients. This is a unique opportunity to shape backend systems in a high-impact, high-compliance environment.
*Working hours: it is essential to overlap with the MST timezone for at least 4 working hours.
Secure Backend Development: Design, develop, and maintain secure backend services and APIs using Go that support complex aerospace and defense use cases
Scalable System Architecture: Contribute to distributed system design with a focus on reliability, fault tolerance, and scalability
Data Modeling & Compliance: Design robust data models with a focus on performance, auditability, and security, especially using Postgres
Collaborate on data analytics pipelines, leveraging engineering and math expertise to process, analyze, and model complex datasets
Partner with front-end teams to support data visualization and presentation, ensuring meaningful insights are surfaced to end users
Cloud & Infrastructure: Leverage Google Cloud Platform (GCP) services to deploy resilient, scalable infrastructure that meets federal and industry compliance standards
Containerization & Orchestration: Manage services using Kubernetes, ensuring proper configuration, scaling, and monitoring in production environments
Event-Driven Systems: Build real-time systems leveraging Redis Pub/Sub, Kafka, or similar technologies for reactive, event-based workflows
Security & Compliance: Implement and maintain security-first practices, adhering to DoD/FedRAMP/NIST guidelines where applicable
Performance Tuning: Identify performance bottlenecks and optimize systems to ensure uptime and responsiveness under mission-critical conditions
Cross-Team Collaboration: Work closely with product managers, systems engineers, and QA to define, develop, and deliver backend capabilities
Code Quality & Review: Participate in rigorous code reviews to uphold best practices and ensure reliability across critical backend systems
Documentation: Produce and maintain comprehensive documentation for system architecture, APIs, and security processes
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline
5+ years of backend engineering experience, ideally in high-availability or high-security environments
Strong background in engineering, mathematics, or related quantitative fields.
Experience with backend data analytics systems, including ETL processes, statistical modeling, or machine learning
Familiarity with data presentation techniques and front-end integration to deliver actionable insights
Proficiency in Go and building microservices-based backend systems
Strong experience with cloud-native infrastructure, preferably GCP (AWS or Azure also valuable)
Hands-on experience with Kubernetes, containerization, and CI/CD pipelines
Solid knowledge of Postgres and scalable data modeling best practices
Familiarity with event-driven architectures using Kafka, Redis, or similar technologies
Experience working in regulated environments (e.g., aerospace, defense, healthcare, or finance) is a strong plus
Strong understanding of software security, encryption, and authentication standards
Excellent problem-solving, communication, and collaboration skills
Ability to mentor junior engineers and foster a culture of quality and innovation
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