Responsibilities: This role requires a comprehensive understanding of DevOps best practices, including version control, automation, deployment, and monitoring. In this role, you will work with various Engineering team members to provide technical solutions as well as guide and support other DevOps Engineers on the implementation. Design, build, maintain, and troubleshoot tools and pipelines for creating and managing scalable, secure distributed software systems. Foster a passion for improving product and system availability, performance, scalability, and security. Operate cloud production systems with a strong focus on monitoring and metrics to assess feature health and usage. Collaborate closely with product management and application engineers to ensure robust system design, prioritizing high availability. Lead the evaluation of new technologies and drive their integration into our technology stack. Provide support for deploying and operating multiple clusters across various client manufacturing sites and the global client business network. Assist in deploying and operating Dev, QA and Prod clusters at AWS. Streamline deployment and operational workflows through automation. Thoroughly document systems, processes, and assets to meet client expectations for business continuity. Administer CI tools (BitBucket, Jenkins, Artifactory, SonarQube) Work closely with the vendor in addressing any major upgrades, plug-ins, and critical fixes. Propose and implement new technical strategies for DevOps processes. Qualifications: Demonstrable track record of successful DevOps implementations, with a deep understanding of modern infrastructure and automation tools. Extensive Hands-On experience with Docker, Docker-Compose, Kubernetes, Helm, and image management. Five or more years of experience with Terraform, Ansible, or similar system automation/deployment tools. Five or more years of experience with build systems like Jenkins and Bitbucket Pipelines. Proficiency in shell scripting and Python. Familiarity with enterprise logging solutions like Datadog. Experience with Apache Pulsar and PostgreSQL. Familiarity with JFrog Artifactory. Competence in Linux system administration. Strong teamwork skills and the ability to prioritize tasks in a fast-paced environment. Availability in Eastern or Central US time zones (EST or CST). Bonus Qualifications: Java development experience is a bonus. Experience in migrating existing workloads to Kubernetes is a plus. Background in logistics, warehousing, 24/7 operational environments and distributed cloud/on prem deployments. The annual salary for this position is between $130,000 – $150,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits 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. Applications will be accepted until 6/2/2024
Logistics Troubleshooting Terraform assets performance automation Maintenance docker-compose code building Security version-control Design Systems evaluation Engineering cluster-computing sonarqube Python Quality Assurance (QA) medical bitbucket-pipelines high-availability DevOps Support Specialist deploying deployment system-design Ansible Bitbucket PostgreSQL Teamwork Datadog kubernetes-helm Client expectation management shell Amazon Web Services (AWS) availability Technology savvy scalability Linux Fast-paced environment vendor Docker vision Software Developer Product management apache-pulsar state-of-the-art technologies artifactory integration scalable systems metrics Kubernetes document monitoring Jenkins