Senior DevOps Engineer

We are seeking a skilled Senior DevOps Engineer to join our team. As a Senior DevOps Engineer, you will be responsible for implementing and managing our cloud infrastructure on a major public cloud platform (Azure, AWS, or GCP), ensuring the scalability, reliability, and security of our applications and services.

The Senior DevOps Engineer will be involved in all aspects of the software development life cycle, including requirement gathering, design, development, testing, and deployment.

They will also be able to collaborate with other team members, including other engineers, product managers, and stakeholders to deliver high-quality software on time.

Key Responsibilities:

• Design, implement, and manage cloud infrastructure on Azure, AWS, or GCP, including managed Kubernetes, serverless functions, virtual machines, application gateways/load balancers, and API management services.
• Develop and maintain Pipelines for continuous integration and continuous deployment (CI/CD) of applications and services.
• Implement infrastructure as code using Terraform to automate provisioning and configuration management tasks.
• Containerize applications using Docker and orchestrate them using Kubernetes (k8s) for scalable and resilient deployment.
• Write automation scripts using PowerShell, Bash, or Python to streamline routine tasks and enhance operational efficiency.
• Collaborate with cross-functional teams to ensure smooth deployment and operation of applications in the cloud environment.
• Demonstrate experience, ability to work independently, mentor others and contribute to raising projects technical maturity.
• Monitor and optimize the performance, availability, and cost of cloud resources, implementing best practices for security and compliance.

Job Requirements

Essential Skills:

• Proven experience in a DevOps or cloud infrastructure engineering role.
• Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), including its compute, networking, serverless, and API management services.
• Strong experience with Docker and Kubernetes, including managed services (e.g., AKS, EKS, GKE).
• Hands-on experience with Terraform (infrastructure as code).
• Experience building and maintaining CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, GitLab CI, Jenkins).
• Scripting skills in PowerShell, Bash, or Python.
• Solid understanding of Git, networking, and cloud security fundamentals.

• Practical experience using AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot, Codex, Gemini Code Assist) to speed up scripting, infrastructure as code, pipeline development, and troubleshooting, with sound judgement in reviewing and validating AI-generated output.

• Fluent English, written and spoken.

Nice to Have Skills.

• Knowledge of other automation tools like Ansible, Chef, or Puppet.
• Experience with agentic workflows in observability, triage and general DevOps practices.

Qualifications:
Nice to have:

• Cloud certifications (e.g., Azure Administrator or DevOps Engineer Expert, AWS Solutions Architect or DevOps Engineer, Google Cloud Professional Cloud Architect or DevOps Engineer).
• Multi-cloud experience (working with more than one of Azure, AWS, or GCP).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Azure Monitor, Amazon CloudWatch, Google Cloud Monitoring).

What we offer:

• Opportunity to be part of a global organization.
• Encouraging working atmosphere, engaging activities, and extra benefits (e.g. additional medical insurance (covers gym subscription), team events, outreach activities, and others);
• Hybrid work model with remote work opportunities ( 3/5 days weekly from the office)
• Open, modern, and ergonomic work environment when working from the office with the multicultural community.
• Opportunity to grow professionally and personally (e.g. Udemy) and continuously develop within the domain.
• The salary range for this position is from 4485 to 5950 EURO gross before taxes.*
  *Salary offer for the candidate is determined based on the predefined salary ranges for the position and depends on the level of competence and experience of the candidate.

Cognizant, as a digital company, makes employee health and safety its top priority. With that in mind, we are implementing virtual hiring and work practices which means all interviews will be conducted online as well as live from the office
We will be looking forward to Your CV.
Only suitable candidates will be contacted within 7 days from application.
Stay up to date with our website https://www.cognizant.com/lt/en
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.