DevOps Engineer

Job Title:

DevOps/DataOps Engineer (with AI/MLOPS)

Job Experience Requirements:

• Bachelor’s degree in the areas of Computer Science, Engineering, Information Systems, Business, or equivalent field of study required.
• 5+ years of experience in working with data solutions (Data lakes, cloud data warehouses).
• 3+ years of experience developing data solutions on AWS.
• 2+ years Linux/Unix including basic commands, shell scripting and solution engineering.
• 2+ years of experience with S3, AWS Glue, EMR, MKS, RDS, Serverless technologies, DynamoDB, lambda, Kubernetes
• Strong knowledge of DevOps tools and practices (CI/CD, Infrastructure as Code, monitoring, etc.).
• Experience with AI/ML application technologies (LLM, Flask, Llama, Streamlit, ReactJs, etc) and frameworks (TensorFlow, LlamaIndex, LangChain etc.).
• Proficiency in scripting languages such as Python, Bash, Spark, Java with emphasis on tuning / optimization.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Strong critical thinking skills and ability to troubleshoot complex issues.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Experience working with automated build and continuous integration systems (Chef, Jenkins, Docker, Github)
• Experience working with Data Governance , MDM tools is plus.

Responsibilities

Job Responsibilities:

• Contributing member of a high performing, agile team focused on next generation data & analytic technologies.
• Assist Data Engineering teams during design and development for highly complex and critical data projects.
• Code and integrate Platform solutions into the data analytic ecosystem.
• Experience in AWS environment operation and management, building AWS environments and using infrastructure as code.
• Design, implement, and maintain scalable and secure AWS infrastructure including AI/ML applications.
• Leveraging DevOps techniques and practices like CI/CD, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of end user capabilities.
• Developing data solutions on cloud deployments collaborating with data scientists and engineers to deploy and manage AI/ML models in production environments.
• Works with Architects to design complex solutions and lead from inception to production.
• Creates and maintains DevOps processes, application infrastructure, and utilizes cloud services (including systems, network, and other administrative artifacts).
• Implement best practices for security, backup, and disaster recovery in AWS.
• Optimize cloud resource usage to manage costs effectively.
• Document and streamline operational processes to improve efficiency.
• Supporting Data Governance Tools and processes.

Qualifications

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About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.