Site Reliability Engineer

Site Reliability Engineer

Hyderabad-based | Multiple timezones available |  Hybrid | Work from Home and the Office

Why Pythian:

At Pythian, we are experts in strategic database and analytics services, driving digital transformation and operational excellence. Pythian, a multinational company, was founded in 1997 and started by ensuring the reliability and performance of mission-critical databases. We quickly earned a reputation for solving tough data challenges. We were there when the industry moved from on-premises to cloud environments, and as enterprises sought more from their data, we expanded our competencies to include advanced analytics.

Today, we empower organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive. We deliver innovative solutions that meet each client's data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today's rapidly changing digital economy.

Why You:

Pythian is building a next-generation Site Reliability Engineering team, and we're looking for talented, motivated engineers who thrive in fast-paced, problem-solving environments. As an SRE, you'll design, deploy, and operate large-scale distributed systems across compute, storage, networking, and AI/ML environments. You'll lead projects from architecture to automation to intelligent monitoring, collaborating with both clients and teammates to build resilient, high-performing infrastructure.

If this is you, and you wonder what it would be like to work at Pythian, reach out to us and find out  Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn

• Operate and optimize Kubernetes clusters, Istio service mesh, and Linux-based systems.
• Automate workflows using Go, Python, and Shell scripting.
• Build monitoring and observability solutions with Prometheus, Grafana, and Loki.
• Troubleshoot complex networking, storage, and system performance issues.
• Partner with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.
• Participate in on-call rotations and postmortem reviews to improve system resilience.

• Experience with Google Cloud, plus IaC tools (Terraform).
• Strong knowledge of microservices, containers (Kubernetes, Docker), and networking.
• Hands-on experience with PKI, service mesh, and Linux systems administration.
• SRE mindset with a focus on automation, scalability, and reliability.

• Love your career: Competitive total rewards package. Blog during work hours. Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like 
• Love your work/life balance: Flexibly work remotely from your home, there's no daily travel requirement to an office All you need is a stable internet connection. 
• Love your coworkers: Collaborate with some of the best and brightest in the industry
• Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment  
• Love yourself: Pythian cares about the health and well-being of our team. You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more). Additionally, you will receive a generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.

Hiring Disclaimer

To be considered for this position, applicants will be required to complete a technical test through a third party platform.

The successful applicant will need to fulfill the requirements necessary to obtain a background check.

Accommodations are available upon request for candidates taking part in any aspect of the selection process.