Senior DevOps Engineer

We are seeking a Senior DevOps Engineer to join our Farm team to improve its growing services infrastructure. You will be working with a team of passionate and skilled engineers who are continuously working to provide better tools to build and manage our infrastructure. Our team is a mix of varying levels of experience. We need a motivated, hardworking and focused individual who has a real passion for operational excellence, data systems, and automation.

What you'll be doing:

• Own the services you build working with cross functional teams
• Comfortable with frequent code testing and deployment
• Continuously improve infrastructure provisioning and management using automation
• Identify areas to improve service resiliency through industry standard practices
• Support a globally distributed, On-Prem environment (LSF)
• Determine root-cause for production level incidents and write corresponding high-quality RCA reports
• Ensure the highest level of up-time and Quality of Service (QoS) to internal customers through operational excellence
• Participate in team's on-call rotation

What we need to see:

• B.S. degree in Computer Science or related technical field or equivalent experience
• 8+ years coding/scripting in at least two high level programming languages - Python, Perl, Go, Ruby, Groovy etc.
• Build and maintain scalable web applications using modern front-end frameworks, back-end technologies, databases, APIs, and cloud platforms.
• Good Knowledge in operating services including web servers, load balancers, relational/non-relational databases, messaging systems and storage solutions
• Deep understanding of linux operation system and TCP/IP fundamental.
• Knowledge in high-performance computing environments, including job schedulers (e.g., Slurm, PBS, or Grid Engine), parallel computing, and performance tuning.
• Expertise with at least one major cloud service provider- AWS, GCP, Azure
• Proficient in implementing and managing monitoring tools like Grafana and Prometheus, ensuring system performance, reliability, and real-time data visualization.
• Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC)
• Detail oriented with great communication and documentation skills

Ways to stand out from the crowd:

• Develop, fine-tune, and deploy advanced LLM-based solutions for [specific applications, e.g., NLP, chatbots, content generation, or data analysis
• Linux certification from a well known vendor - RedHat, Oracle etc.
• Prior experience managing large scale Kubernetes deployment in production
• Strong skills in modern container networking and storage architecture