DevOps Engineer - Emerging Technologies

Do you like to solve complex problems in order to delight customers? Want to work side-by-side with passionate and talented people who love their jobs? Do you like the excitement of a start-up, but the stability of an established company? Are you looking to be part of a team focussed on implementing and maintaining highly scalable, low-latency, distributed enterprise platforms. You'll need to have excellent communication and cross-group collaboration skills, be able to make forward progress despite ambiguous circumstances, be a self starter, a quick learner of new technologies and have experience shipping products. You will be a critical part of the DevOps/SRE team for a high-performing, low latency enterprise application. You will be responsible for planning and design of new infrastructure, contributing to the deployment architecture of core functionality and future planning for this exciting endeavor. We need someone who is something of a generalist - a savant who can work on load balancers one day and optimize database performance the next. The ideal candidate has a strong mix of education and practical experience, and loves diving in to interesting problems head first. This role requires your to operate, monitor, and triage applications in the production and non-production environments, ensuring reliability, scalability and performance across its low-latency, active/active cloud infrastructure. The role will requires you to architect, build, and own robust CI/CD pipelines and automation systems, from design through long-term maintenance.

5 years of hands-on experience in infrastructure engineering, DevOps, or Site Reliability engineering. Proficiency in at least one scripting or programming language such as Python, Go or Java. Experience operating and supporting applications across cloud infrastructure ( eg, AliCoud, AWS and GCP). Experience with Infrastructure as Code tools such as Terraform, Pulumi, and Helm. Experience building and maintaining CI/CD pipelines. Good command on Linux, networking concepts (TLS/SSL, DNS, Load Balancers, etc.,) and troubleshooting skills in large scale environments Exposure to AI-assisted or AI-infused automation in DevOps workflows (e.g., using LLM-based tools, copilots, or intelligent agents for scripting, incident triage, or pipeline optimization). Hands on experience in one or more databases (Relational / NoSQL like Oracle, MongoDB). Experience managing large Databases with very high transaction rates. Knowledge of Oracle Database architecture and replication. Hands-on experience with Splunk, Prometheus, and Grafana. BS or MS in Engineering, Computer Science, or equivalent education/experience. 8 years of hands-on experience in infrastructure, DevOps, or software engineering, with a proven track record of independently owning complex systems or initiatives from start to finish. Extensive experience architecting and operating multi-region, high-availability infrastructure across AliCloud, AWS and GCP, with ownership of cloud cost, resilience, and scaling strategy. Proven ownership of build/release systems and CI/CD pipelines at scale, including designing pipeline architecture, improving reliability, and reducing release friction. Proven experience in Terraform, Pulumi, and Helm, including designing reusable modules and adopting organizational-level IaC standards. Proven ability to operate with minimal direction: scoping ambiguous problems, proposing architecture, executing, and being accountable for outcomes. Hands-on experience designing and building AI-powered automation for DevOps, including LLM-powered runbooks, autonomous remediation agents, anomaly detection pipelines, and AI-assisted code/infra review tools, with a proven track record of team adoption.