Full Stack Engineer, Forward Deployed

• Strong proficiency in JavaScript/TypeScript (React, Node.js) and back-end frameworks (FastAPI, Express, Django).
• Solid working knowledge of Python for scripting, APIs, and data integration.
• Experience building containerised microservices (Docker, Kubernetes).
• Familiarity with message brokers (Kafka, RabbitMQ).
• Familiarity working with databases like PostgresSQL etc.
• Proficiency with Linux environments (deployment, debugging, performance tuning).
• Bonus: exposure to time-series/industrial data and operator-facing dashboards.
• Bonus: exposure working as a software engineer in oil and gas or energy environments
• Strong troubleshooting mindset in production systems.

What Success Looks Like
• Orbital applications are fully deployed in customer environments.
• Interfaces are actively used by operators and engineers.
• Identity, security, and infra integrations work seamlessly.
• Deployments run reliably across cloud and on-prem systems.
• Customer-specific extensions are delivered rapidly when required.
• Application telemetry and monitoring are production-grade.

1) Application Deployment & Customisation
• Deploy Orbital’s full-stack applications into customer environments (cloud, on-prem, hybrid).
• Configure customer-specific application environments, networking, and access layers.
• Customise UI components, workflows, and feature configurations per customer use case.
• Implement customer branding, report templates, and UX adaptations.
• Ensure applications remain usable in control rooms, engineering offices, and operational settings.
2) Frontend Engineering (Customer-Facing Systems)
• Develop real-time streaming in collaboration with frontend engineer (in Svelte / SvelteKit) dashboards for AI inference and anomaly monitoring.
• Implement chat interfaces integrated with LLM services.
• Configure WebSocket pipelines for live model outputs.
• Adapt UI/UX for industrial workflows (operators, APC engineers, technologists).
3) Backend Services & API Integration
• Deploy and extend FastAPI microservices.
• Configure and customise REST and GraphQL (Strawberry) APIs.
• Implement customer-specific business logic and integrations.
• Connect application services to ML inference endpoints and data services.
• Extend APIs when customer systems require bespoke contracts.
4) Identity, Security & Enterprise Integration
• Integrate Orbital with customer identity providers:
o SSO
o SAML
o OAuth
• Implement role-based access controls.
• Configure tenant isolation and enterprise security requirements.
• Work with customer IT to satisfy firewall, network, and compliance constraints.
5) Database & Application Data Layer
• Deploy and manage PostgreSQL schemas.
• Run Alembic migrations across environments.
• Optimise queries for production performance.
• Configure customer-specific schema mappings where required.
6) Infrastructure & DevOps (Application Layer)
• Own application deployment infrastructure:
o Kubernetes
o Helm charts
o Docker services
• Manage application-level Terraform / Terragrunt provisioning.
• Configure CI/CD pipelines (GitHub Actions).
• Deploy services via container orchestration.
• Troubleshoot scaling, ingress, and service routing issues.
7) Observability & Production Reliability
• Configure application monitoring via Grafana dashboards.
• Implement logging, alerting, and SLA monitoring.
• Support Prometheus metrics integrations.
• Debug production incidents in customer environments.
8) Customer Deployment & Forward Engineering
• Work directly with customer IT / OT / Engineering teams.
• Deploy into air-gapped and tightly firewalled networks.
• Troubleshoot infrastructure, networking, and application failures.
• Build customer-specific extensions when core product configs are insufficient.
• Support onboarding, upgrades, and operational handover.