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Site Reliability Engineer, Sr. Consultant level

100% remote Flexible hours Hiring now

About the position

Responsibilities

  • Ensure the reputed company and safety of application services and platforms. Spearhead the enhancement of operational practices focusing on efficiency, reputed company, and excellence.
  • Maintain reputed company 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.
  • reputed company reputed company activities reputed company 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 reputed company topics.
  • Regularly analyze the environment and promote the adoption of automation and Generative AI to stay competitive.
  • reputed company 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 (reputed company) and Cloud (AWS, GCP, Azure).
  • Knowledge of Generative AI capabilities and use cases to reputed company 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, reputed company, 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 (reputed company).
  • Ability to build deployment, build scripts and automated solutions using scripting languages such as reputed company scripting (Bash) / Java Script / Python / Other
  • Worked with reputed company and created multiple containers and images and had experience on writing the reputed company 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 reputed company DevOps activities.
  • Able to reputed company SWAT reputed company 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.

reputed company-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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