Agile Fuel | World-class Dedicated Engineering Teams

About the Company

Great ideas require great execution, and great execution requires a strong team of brilliant people working together to reach the common goal.

As we started helping friends (and friends-of-friends) in the software industry build up their own teams based on these learnings, the results were phenomenal, and in 2015, we have launched Agile Fuel as a very selective, high-touch, boutique service to bring this approach to others as well.

We know this very well, because we have walked the walk. Since the early 2000s, our two founders have worked for tech startups, giant software companies, and consulting firms in the Bay Area and beyond, and eventually founded a few companies of our own as well. One of them, a B2B enterprise SaaS company, has become a major player in its industry. The biggest key to our success in both building the core product and scaling the technical implementations was the ability, and the processes we have created, to hire the right people quickly and effectively, and integrate them into our team while retaining and growing our culture--all within the typical constraints of being a bootstrapped, and later venture-funded, startup. These people have been our biggest investment, our greatest value, and our main competitive advantage.

We recruit and support high-quality dedicated engineering teams that work remotely from Europe and are tailored specifically to each client's technical requirements, culture, and communication needs.

We are stack-agnostic, because we focus on finding the right people for the specific needs, however commonplace or esoteric they may be.

We take care of recruiting and everything else on the HR and administrative side of things, so you can focus on direct engineering management and preserving your team culture.

Listed Jobs

Company Name

Agile Fuel | World-class Dedicated Engineering Teams

Job Title

Site Reliability Engineer/ Platform Engineer

Job Description

**Job Title:** Site Reliability Engineer / Platform Engineer **Role Summary:** Design, build, and operate a scalable Azure-based cloud infrastructure and internal developer platform for an AI-focused technology company. Drive automation, observability, and reliability across CI/CD pipelines, deployment workflows, and monitoring systems to enable high-speed, reliable software delivery. **Expectations:** - Deliver production‑grade, fault‑tolerant platform components with strong focus on automation and cost efficiency. - Partner with backend, data engineering, and external service teams to align infrastructure with AI product growth. - Foster an AI‑native culture, leveraging LLM‑powered tooling to accelerate engineering workflows. **Key Responsibilities:** 1. Architect and maintain Azure Container Apps, ACR, serverless services, and managed databases. 2. Own CI/CD pipelines, deployment workflows, and full observability stack (monitoring, logging, alerting, SLO/SLA). 3. Develop Python‑based tooling and automation for platform reliability and AI workloads. 4. Design secure, fault‑tolerant integrations with GitHub, Jira, Azure services, Redis, Sentry, etc. 5. Optimize cost, reliability, and deployment velocity continuously. 6. Scale AI infrastructure to support organizational transition to an AI‑native engineering model. 7. Drive automation initiatives and implement LLM‑powered pipelines where applicable. **Required Skills:** - 5+ years in DevOps / SRE / Platform Engineering. - Expert in Azure cloud (container services, serverless, networking, identity, PaaS). - Strong Python programming for tooling and backend services. - Proficiency in Docker, container orchestration, and cloud‑native patterns. - Experience with CI/CD, monitoring, alerting, and observability tools. - Knowledge of resilience engineering (retries, backoff, idempotency). - Automation mindset; ability to identify and implement automated solutions. - Startup mentality with ownership, speed, and multi‑skill flexibility. - Upper‑intermediate English proficiency. **Bonus Skills:** - IaC (Bicep, Terraform). - Python/Django or data pipeline background. - Celery, distributed queues, event‑driven systems. - SOC2/enterprise‑grade environment experience. - Building internal developer platforms (IDPs) or self‑service infra. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). - Certifications in Azure (e.g., Azure Solutions Architect, Azure DevOps Engineer) are advantageous but not mandatory.

Mountain view, United states

On site

Mid level

27-11-2025