Senior DevOps Engineer
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🚀 About OrbitronAI
OrbitronAI is on a mission to turn large language model magic into production-grade agentic systems and workflows that solve real problems for the world’s largest enterprises.
We’ve recently raised $10 million in seed funding 💰 and are scaling fast across Dubai, Bengaluru, and Saudi Arabia.
👥 The Team Behind OrbitronAI
Founded by an exceptional leadership team of:
- Former EY Partners
- Ex-CTOs and Heads of Engineering from successful Series B+ startups
The founding team brings together seasoned business, product and engineering leaders who have built and scaled organizations and led enterprise projects valued at over $1 billion.
🌟 Why Join OrbitronAI?
- Massive Impact, Real Ownership → Ship end-to-end features, own outcomes, and see your work power mission-critical systems.
- Battle-Tested Leadership → Learn and grow with seasoned leaders who bring deep industry expertise and zero ego.
- Cutting Edge Stack → Work with GenAI frontier models, Java, Python, Go, TypeScript, GCP & edge compute, Vector DBs, DAG engines.
🧬 Our Cultural DNA
- Hustle → Move with urgency, bias for action, celebrate shipping.
- Ownership & Commitment → Act like a founder — your decisions shape the company.
- Founder’s Mindset → Challenge ideas, not people. Seek truth, not consensus.
- Continuous Learning → No legacy thinking; we invest in upskilling and sponsor courses & conferences.
- Pride in Craft → Pixel-perfect UIs, rock-solid infra, clean code. If it has your name on it, make it remarkable.
- No-Ego Zone → Brilliant ≠arrogant. We win together by being kind, direct, and respectful.
Why This Role
As our Founding member of Orbitron's tech team, you'll lay the foundation of our cloud infrastructure, CI/CD pipelines, security framework, and deployment architecture - powering our agentic platform and applications. You'll work directly with the CTO and founding team to help scale our infrastructure with speed and reliability.
Bonus: You’ll work in an environment where using AI tools to boost your own efficiency is expected, not optional.
What You'll Do
- Infrastructure Ownership: Own and evolve our GCP-based infrastructure (Cloud Run, GKE, IAM, DNS, VPCs, Load Balancers)
- CI/CD & Deployment: Create scalable, automated CI/CD pipelines to support multiple AI agent releases across various environments
- Monitoring & Observability: Implement and maintain monitoring, alerting, and logging systems (e.g., Prometheus, Grafana, ELK, Cloud Monitoring)
- Security & Compliance: Implement access control, key management, and environment isolation
- Team & Culture Building: Hire, mentor, and grow a world-class infra/devops team
What You Bring
- 8+ years of experience in DevOps or Infrastructure Engineering, with 3+ years in a lead/ownership role
- Deep experience building and running cloud-native, containerized, and serverless systems (GCP preferred)
- Expertise with Kubernetes and infrastructure-as-code tools like Terraform or Helm
- Strong understanding of CI/CD tooling (e.g., GitHub Actions, ArgoCD)
- Prior experience building infrastructure from scratch in early-stage startups or zero-to-one environments
- Bonus: Familiarity with agentic workflows, RAG pipelines, vector databases, or LangChain-style architectures
- A business-aware and builder's mindset: hands-on, ownership-driven, and comfortable with ambiguity.
Perks & Benefits
- Top‑Tier Compensation & stock options with substantial potential upside.
- Latest MacBook Pros + 4K monitors
- Paid AI tool & cloud credits to experiment freely
- Premium health, wellness, and learning budgets
- A culture celebrating every victory.
- Continuous learning and skill development opportunities.
- Flexible PTO and work hours.
- Department
- Engineering
- Remote status
- Hybrid
About OrbitronAI
OrbitronAI is on a mission to turn large language model magic into production-grade agentic systems and workflows that solve real problems for the world’s largest enterprises.
👥 The Team Behind OrbitronAI
Founded by an exceptional leadership team of:
- Former EY Partners
- Ex-CTOs and Heads of Engineering from successful Series B+ startups
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