We are seeking a skilled Software Engineer to join our team and drive automation, scalability, and reliability across our systems. The ideal candidate will have strong experience in cloud infrastructure, CI/CD pipelines, containerization, and Infrastructure as Code (IaC), with proven expertise in maintaining and supporting production platforms as well as other applications and configurator tools .
You will collaborate with development, QA, and operations teams to streamline deployments, monitor performance, troubleshoot issues, and ensure business-critical applications remain stable and performant.
Cognizant (Nasdaq-100:CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 194 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.
About You
You will collaborate with development, QA, and operations teams to streamline deployments, monitor performance, troubleshoot issues, and ensure business-critical applications remain stable and performant.
Key Responsibilities
Design, implement, and maintain CI/CD pipelines (Jenkins, cloud hosted, Github actions etc.) (Required)
Automate infrastructure provisioning and configuration with Terraform (Required)eploy, manage, and scale containerized workloads using Docker Swarm and Kubernetes. (Required)
Experience with cloud hosted services
Manage and maintain existing applications and configurator tools ensuring performance, scalability, and availability.
Write and maintain Bash scripts and build automation with basic Python.
Implement and manage observability solutions with Datadog, Grafana, ELK stack, Azure Monitor, and Log Analytics Workspace.
Proactively monitor applications and infrastructure to detect, diagnose, and resolve production issues.
Collaborate with development teams to embed DevOps best practices and improve system resilience.
Document workflows, processes, and incident response procedures for operational efficiency.
Required & nice to have Skills
Must Haves
Experience with CI/CD tools (Jenkins, cloud hosted, Github actions etc.)
Experience with Infrastructure as Code (Terraform)
Strong background in containerization and orchestration (Kubernetes).
Networking, monitoring, and security best practices
Strong proficiency in Bash scripting and basic Python.
Proven ability to maintain and troubleshoot production applications.
Proficiency in monitoring and observability tools: Datadog, Grafana, ELK stack, Azure
Monitor, Log Analytics Workspace.
Strong problem-solving skills with experience in production troubleshooting.
Excellent communication and collaboration skills with the ability to coordinate across teams and stakeholders.
Nice to Have/ Your chance to grow
Familiarity with AI-powered tools like GitHub Copilot for automation and prompt engineering.
Experience with DevSecOps practices and security automation.
Background in performance testing, load balancing, and capacity planning.
You will collaborate with development, QA, and operations teams to streamline deployments, monitor performance, troubleshoot issues, and ensure business-critical applications remain stable and performant.