Job Title: DevOps Infrastructure Engineer + Python Job Location: Remote, USA We are seeking an experienced DevOps / Infrastructure Engineer with a strong Python background to design, build, and maintain scalable, secure, and highly available infrastructure platforms. This role will play a critical part in automating deployments, optimizing system performance, supporting cloud-native architectures, and enabling enterprise-grade integrations across distributed environments. The ideal candidate combines hands-on DevOps expertise with solid Python development skills and a deep understanding of modern infrastructure, containerization, cloud platforms, and system reliability. In this role, you will · Design, implement, and maintain scalable, secure cloud infrastructure across AWS, Azure, or GCP environments. · Build and manage containerized applications using Docker and orchestrate enterprise workloads with Kubernetes. · Develop and maintain CI/CD pipelines to enable automated, reliable build and deployment processes. · Create and enhance Python-based automation and integration tools to support infrastructure and DevOps workflows. · Implement monitoring, logging, and performance optimization solutions to ensure high availability and system reliability. · Manage system administration and security, including Linux/Windows servers, networking, API security, authentication, and data privacy. · Support enterprise integrations and scalability initiatives, including LDAP/SSO connectivity, vector databases, and distributed systems. What you’ll need to succeed (required skills) · 3+ years of Python development experience, with a strong foundation in system integration. · 4+ years of experience in DevOps and Infrastructure Engineering. · Hands-on experience with: o Docker and Docker Compose o CI/CD pipeline design and implementation o Cloud platforms (AWS, Azure, and/or GCP) o Monitoring and logging tools · Strong background in Linux and Windows system administration. · Experience with network configuration, security, and performance optimization. Salary and Other Compensation: The annual salary for this position is between $ 90,000 to $105,000 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
• Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Work model: At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is a remote position in USA. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. 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. “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.”