Top Engineering Jobs in Belfast

Support, plan, execute, and deliver engineering programmes, coordinating daily issues while building strong customer and functional relationships.

Manage and coach a regional Sales Engineering team to qualify and close opportunities. Lead technical customer engagements, support demos and POCs, recruit and onboard talent, collaborate with Product, Support, and Enablement, and run performance reviews and development plans.

Lead and scale a UK Enterprise Sales Engineering team: hire, coach, enable, and support enterprise sales cycles. Partner with regional sales and cross-functional teams to drive pipeline, support strategic deals, deliver technical demos, and build enablement programs while fostering a high-performance, inclusive team culture.

Lead the Geo product team for Self-Managed customers, owning roadmap, reliability, performance, and disaster-recovery replication. Hire and develop a distributed engineering team, deliver features and fixes, maintain runbooks and guardrails, respond to escalations and participate in on-call incident management, and define metrics to drive continuous improvement.

Lead and grow a distributed engineering organization building customer-facing security capabilities: proprietary scanners, AI/ML detection engines, agentic remediation, vulnerability management, and security foundations. Set vision and roadmap, drive architecture and delivery, partner with product management, establish engineering standards, and represent the group in cross-functional and customer forums.

Build, ship, and maintain backend features enabling AI agents to interact with GitLab. Design GraphQL/REST APIs, extend tests (RSpec), work with PostgreSQL, troubleshoot production issues, and collaborate cross-functionally to integrate AI tooling responsibly.

Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.

The Engineering Manager will lead a team to deliver high-quality software, balancing delivery and operational excellence while fostering team growth and adopting AI-native workflows.

Lead and grow a distributed Solutions Engineering team across the Nordics and BeNeLux to win complex enterprise deals. Hire, coach, and operate as a player-coach; drive technical discovery, solution design, demos, POVs, and executive presentations; run forecasting and SE operations; embed AI fluency and scale repeatable presales playbooks.

Lead and coach a regional Sales Engineering team to drive technical sales cycles, improve win rates, support pipeline and forecasting, build customer executive relationships, and maintain technical expertise and certifications to accelerate adoption and revenue growth.

Lead and manage an ML engineering team building post-origination credit models for repayment, collections, recovery, and loss mitigation. Define technical strategy, design and scale ML solutions, partner with product, engineering and risk, mentor engineers, and operationalize models to minimize loan loss and personalize collections.

The Applications Controls Engineer defines automation and integration solutions, translates customer requirements into system concepts, and collaborates cross-functionally for project execution and proposal development.

Lead and scale a global Sales Engineering team supporting Customer Growth. Hire, coach, and enable engineers to deliver technical demos, support upsell/cross-sell motions, collaborate with commercial and product teams, act as escalation for complex deals, and build enablement programs and a strong team culture to drive revenue.

Lead design, development, and optimization of high-performance ETL pipelines using Ab Initio for Oracle ledger processing. Collaborate with business and cross-functional teams, drive SDLC within Agile, perform SQL-based data investigations, build automation utilities, monitor/resolve production issues, and manage testing and deployments.

Looking for Geotechnical Engineers/Geologists with a degree in relevant fields. Roles involve delivering ground engineering projects across various sectors, with professional growth opportunities.

The Performance Manager A220 Wing Engineering will oversee business performance data, implement performance systems, and streamline processes while focusing on KPIs and stakeholder collaboration.

Lead and scale an n8n-centric automation platform, build full-stack internal and client-facing automation products, design production-grade AI/LLM pipelines, set engineering standards, and hire and manage an automation engineering team to deliver scalable, resilient automation infrastructure.

Lead and scale the company's automation infrastructure and products while remaining hands-on. Design orchestration, monitoring, and resilient event/queue-driven workflows; integrate n8n and multiple SaaS tools; build AI/LLM production systems with Claude/OpenAI; ship client-facing and internal products; set engineering best practices, CI/CD, and observability; hire, mentor, and manage an automation engineering team and partner with the founder on technical strategy toward CTO growth.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

The Software Engineering Manager leads and mentors software engineers, fosters a supportive environment, collaborates with cross-functional teams, and ensures high-quality software delivery while adhering to industry regulations.

Define and execute the AI engineering strategy and roadmap. Lead build, deployment, and operation of secure, reusable AI solutions. Establish engineering standards and frameworks. Build and mentor high-performing AI teams. Partner with Product, Architecture, Data, and Technology leaders to industrialise AI capabilities at enterprise scale.

Hands-on lead responsible for designing, building, and scaling Base360.ai. Architect scalable systems, drive engineering standards, mentor engineers, implement AI/LLM workflows, build integrations (Airbnb, Stripe, Twilio), and automate operations to improve guest experience and operational efficiency.

The Technical Engineering Advisor will perform DFM analysis, coordinate product development, liaise with customers and suppliers, implement engineering changes, and support manufacturing processes.

Lead evaluation and benchmarking of AI-driven genomic interpretation: own gene/disease/variant mapping logic, define accuracy and release criteria, establish regression standards, partner on automated validation, and guide where deterministic logic supplements models.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.