• Design, build, and maintain robust backend and infrastructure systems using Golang and Java with contributions across the broader engineering stack • Work closely with client teams in collaborative working sessions, explaining technical decisions and translating complex engineering concepts clearly • Deploy and manage cloud infrastructure across AWS and GCP using Kubernetes (EKS/GKE), Terraform, and Flux • Actively leverage AI-powered tools and workflows to accelerate development, improve code quality, and drive engineering best practices

The Jira Configuration Engineer will implement and configure Jira Service Management workflows, service catalogs, automation rules, and reporting capabilities to support Alter Domus ITSM operations. Key Responsibilities - Configure Jira Service Management projects, issue types, request types, and workflows. - Build and configure the service portal and service request catalog. - Implement SLA policies, priority rules, queues, and escalation workflows. - Configure approval workflows for service requests and identity access requests. - Configure knowledge base integration with Confluence. - Develop dashboards and operational reporting for service teams. - Implement automation rules for ticket routing, notifications, and lifecycle management. - Support platform enhancements and configuration changes during implementation. Required Skills & Qualifications - 3–6 years of experience configuring Jira or Jira Service Management. - Strong experience configuring workflows, request types, screens, and custom fields. - Experience implementing Jira automation rules and operational dashboards. - Familiarity with ITSM processes and service management workflows. - Experience working with Jira Cloud environments.

Role Description Join a diverse and inclusive team at Calisen as a Dual Fuel Engineer. We’re not just about the job, we’re about you. Whether you're seeking financial security, a better work-life balance, or opportunities to grow, we’ve got you covered with our supercharged benefits package and a workplace culture that celebrates diversity, inclusion, and belonging. Qualifications - Previous Dual Fuel experience within the past 12 months - CCN1 / CMA1 / 3 & MET1 qualifications with at least 6 months remaining - A full UK driving licence (we’ll provide the van) Requirements - We celebrate diversity and are an inclusive, equal opportunity employer. - We support reasonable adjustments throughout the recruitment process – just let us know what you need. - We are committed to supporting neurodiverse candidates through tailored onboarding and training. - We’re building a culture of belonging, with employee resource groups and mentoring programmes to support career progression for underrepresented groups. Benefits - Competitive Salary: £41,204 per annum, plus £2,000 London Weighting if you live within the M25. Annual salary reviews ensure your efforts are recognised. - Birthday Off: Celebrate your day, on us! - Life Assurance: 4x your salary – peace of mind for you and your loved ones. - Enhanced Maternity & Paternity Leave: Supporting you through life’s biggest moments. - My Rewards Platform: Discounts from hundreds of top retailers. - Electric Vehicle Salary Sacrifice Scheme: Drive into a greener future. - Medicash Health Expense Claims: Claim back on health costs and enjoy discounts. - 24/7 Employee Assistance Programme: Because your mental health matters. - Professional Growth Opportunities: Join a rapidly expanding market leader where your career can thrive. - Company Sick Pay: Supporting you during unexpected health challenges. - Pension Plan: Secure your future with our robust scheme. - Holiday Entitlement: 22 days + 8 bank holidays, increasing to 33 days with service. - Additional Perks: - Weekend Bonus: £90 per meter installed - Daily Bonus: Earn from £16.50 per meter (from the 7th meter) - Quarterly Bonus: Up to £250 - Available Overtime and On-Call Opportunities Company Description Calisen plays a leading role in managing essential energy infrastructure that supports a smarter, more sustainable future for everyone. Through smart metering, installation, data services and solar, we’re helping homes and businesses move towards cleaner, more efficient energy. Our people are our greatest strength. Calisen is an equal opportunities employer: We value honesty, empathy and collaboration, and we believe that different perspectives and experiences help us succeed. We use some artificial intelligence (AI) tools to support parts of our recruitment process. These tools are designed to assist our Talent team, not replace them. Every decision is reviewed and made by our people.

Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet. The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls. We’ve raised over $32 million, including one of the largest seed rounds for an AI company in the UK. We’re just getting started As a Senior Full Stack Engineer on the Core AI team, you will build the platform that makes Orbital a scalable product. You will own the internal application layers, developer facing APIs, shared UI components, and integration frameworks that power every Orbital deployment. This is a product engineering role focused on building reusable systems. You will collaborate with AI research, Infra, and software teams to translate complex industrial workflows into reliable system components and intuitive user interfaces. Your work will define how users interact with Orbital across control rooms, engineering teams, and cloud-based environments. What Success Looks Like • Orbital ships with high-quality dashboards and interfaces that users rely on daily • Core APIs and services provide stable, well-documented contracts for AI, data, and automation features • Frontend and backend codebases are modular, well-structured, and easy to extend • Releases are frequent, reliable, and backed by strong CI/CD pipelines • Features scale from one deployment to many without site-specific rework or bespoke engineering Requirements • Strong software engineering fundamentals (data structures, algorithms, complexity) • Solid understanding of system design patterns and architectural trade-offs • Strong proficiency in JavaScript / TypeScript • Experience building complex applications in React or Svelte • Ability to design reusable UI components and frontend architecture • Python for APIs, orchestration, and data integration • Backend experience with Node.js, FastAPI, Express, or similar frameworks • Experience designing and maintaining API-driven systems • Experience building containerised microservices using Docker and Kubernetes • Familiarity with distributed systems and event-driven architectures • Experience with message brokers such as Kafka or RabbitMQ • Comfortable working in Linux environments for debugging and performance tuning • Hands-on experience with AWS (EKS, S3, IAM, CloudWatch, networking fundamentals) Product & Engineering Mindset • Comfortable operating in a fast-moving product environment with evolving requirements • Strong collaboration skills across AI, infra, and product teams • Bias toward reliability, resilience, and long-term maintainability • Ability to design systems that scale across customers, sites, and industrial verticals • Comfortable shipping on a bi-weekly release cadence What This Role Is Not • Not a pure frontend or UI-only role • Not infrastructure-only or DevOps-focused • Not a research or modelling role • Not a one-off project engineer; this role builds core platform primitives 1. Full Stack Product Development • Build features across the product stack: data access, backend services, APIs, and UI layers • Develop backend logic that exposes: o Time-series forecasts o Physics-based model outputs o LLM and agent outputs As stable product features - Create internal tools and workflows that support multiple engineering and operational use cases without custom deployments - Ensure all application layers meet strict standards for: o Reliability o Security o Observability o Performance Across cloud and on-prem environments 2. Platform & Microservices Architecture • Design and implement containerised microservices running in Kubernetes clusters • Create shared services and libraries that enable reuse across Orbital verticals • Define API boundaries and service contracts that allow AI and infra layers to evolve independently 3. Core Platform Engineering • Collaborate with Product, AI Research, ML Engineering, and Infra teams on: o Product requirements o Long-term platform architecture • Build interface layers that expose inference, physics-based reasoning, and optimisation as first-class platform capabilities • Implement abstractions for: o Data ingestion o Inference orchestration o Scheduling o Monitoring and health checks • Establish design patterns and engineering standards that unify the Orbital ecosystem 4. Software Engineering Excellence • Write clean, modular, maintainable code across frontend and backend systems • Set up and improve CI/CD pipelines for: o Automated testing o QA o Rapid, safe releases • Participate in code reviews and architectural discussions • Leverage modern agentic coding tools to increase velocity while maintaining correctness and readability Competitive salary and benefits Ability to work from the office or remote Employment contract in UK or India, EOR or contractor options available in other jurisdictions Exciting high traction AI product