Site Reliability Engineer, Sr. Consultant level
About the position Responsibilities • Ensure the security and safety of application services and platforms. Spearhead the enhancement of operational practices focusing on efficiency, security, and excellence. • Maintain zero downtime by swiftly addressing any issues to ensure environments are always operational. Conduct rapid root cause analysis and implement remediation in production environments after thorough testing. • Oversee all activities within the environment, including deploying new code. • Foster an inclusive, innovative, and collaborative team culture. • Build strong partnerships with key stakeholders, including product management, engineering, design, and operations. • Communicate effectively with both technical and business partners to create frameworks for discussing complex topics. • Regularly analyze the environment and promote the adoption of automation and Generative AI to stay competitive. • Lead cloud infrastructure and GenAI adoption and migration, ensuring a seamless transition with minimal downtime. • Run problem bridges by collaborating with different functional and technical teams, escalating issues as needed for timely resolution. • Proactively sharing important context and information with relevant stakeholders. • By fulfilling these responsibilities, the Site Reliability Engineer – Sr. Consultant will ensure the PRE team delivers a robust, secure, and efficient infrastructure that supports application services and platforms, meeting the organization's evolving needs. Requirements • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD • Having 8+ years of IT experience with expertise in DevOps, Build and release Engineering, Cloud Infrastructure and Automation, Tech support. • 8+ years of experience with JAVA, J2EE applications, and a deep understanding of Web Services technologies: REST & SOAP. • 4+ years of experience managing and troubleshooting applications on Containers (Docker) and Cloud (AWS, GCP, Azure). • Knowledge of Generative AI capabilities and use cases to enable such capabilities in the environment. • Ability to work as a team player • Good written and communication skills • Punctual to office time and work • Great with problem solving and troubleshooting • Ability to effectively prioritize and coordinate • Ability to learn fast and implement the latest technology trends in the industry, particularly GenAI • Good understanding of CI/CD technologies. • Core Skills on Dockers, DevOps, Linux. • DevOps experience with Jenkins, Ansible, Docker, Kubernetes. • Good experience in java-based web applications • Implementing CI CD process • Expertise in Trouble shouting on java applications in Tomcat services and Web application in Apache. • Good Exposure on Virtualization and Containers (Docker). • Ability to build deployment, build scripts and automated solutions using scripting languages such as Shell scripting (Bash) / Java Script / Python / Other • Worked with Docker and created multiple containers and images and had experience on writing the Docker file • Created the deployments, services, and ingress flows for the application setup in the Kubernetes cluster. • Participated in release level discussions and gone through the total SDLC and Agile methodology • Support On-Call for all DevOps activities. • Able to lead SWAT bridge as technical expert. • Exceptional analytical and problem-solving skills, along with strong oral and written communication abilities. Proven proficiency in troubleshooting, root-cause analysis, application design, and implementing major components for large projects. • Experience building tools to automate production support activities, enhancing the efficiency and productivity of service desk and operations groups. • Prior experience working in 24x7 environments. Nice-to-haves • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Engineering degree in IT or Computer Science Apply tot his job