Job Summary
Design and implement scalable cloud native architectures using Python Java Azure and modern SRE DevOps practices for large enterprise solutions ensuring reliability security and performance while collaborating in a hybrid work model that enables close partnership with product security and operations teams to deliver measurable business value for global customers.
Responsibilities
- Architect end to end cloud native solutions using Python Java and Azure services that align with enterprise standards and deliver measurable business outcomes for complex digital products.
- Design highly available and resilient application architectures that meet strict reliability objectives and apply SRE principles to minimize downtime and customer impact.
- Define and implement CI CD workflows using GitHub based repositories and pipelines to enable rapid safe and auditable delivery of application changes across multiple environments.
- Develop robust observability strategies using logs metrics and traces that allow early detection of issues and support data driven reliability improvements.
- Optimize application and infrastructure performance on Azure by tuning resource configurations scaling strategies and caching approaches to enhance user experience.
- Collaborate closely with product owners engineers and site reliability practitioners to translate functional and non functional requirements into clear architectural blueprints.
- Establish coding patterns and integration designs in Python and Java that promote reusability security and maintainability across distributed teams.
- Review solution designs code and deployment configurations to identify technical risks and recommend practical remediation steps that reduce operational toil.
- Drive adoption of infrastructure as code and automated configuration management to standardize environments and lower error rates in day to day operations.
- Create and maintain high quality architectural documentation and diagrams that provide clarity for engineering and operations partners throughout the delivery lifecycle.
- Advise teams on effective use of Azure platform services including container data and security capabilities to accelerate feature delivery without compromising reliability.
- Mentor engineers on SRE and DevOps practices such as error budgeting incident review and capacity planning to build a culture of shared responsibility for uptime.
- Engage in incident reviews and continuous improvement activities to ensure production learnings are translated into durable architectural enhancements.
Qualifications
- Bring a strong background in designing and delivering large scale applications using Python and Java with at least nine years of hands on software development experience.
- Demonstrate proven experience with GitHub based workflows including branching strategies pull request reviews and automated checks for enterprise projects.
- Show solid practical knowledge of Azure services such as compute storage networking and managed databases with a track record of successful production deployments.
- Apply SRE and DevOps concepts including service level objectives monitoring alerting and runbook automation to improve reliability and reduce mean time to recovery.
- Exhibit strong understanding of secure coding practices identity and access concepts and data protection mechanisms as applied within cloud hosted applications.
- Communicate complex architectural decisions clearly to both technical and non technical stakeholders and document rationale to support future evolution of solutions.
- Work effectively in a hybrid work model using remote collaboration tools and structured communication practices to maintain alignment across distributed teams.
- Utilize problem solving skills and analytical thinking to troubleshoot challenging production issues and propose sustainable architectural remedies.
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.
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
