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
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