Job Summary
This hybrid role for a senior software engineer demands strong experience in Kubernetes Python and SQL to design develop and optimize scalable enterprise applications that support critical merchandising workflows. The candidate will collaborate across functional teams during day shifts to deliver secure reliable systems that enhance operational efficiency and generate measurable business value for a global organization.
Responsibilities
Design and implement robust backend services and data workflows using Python and SQL that enable scalable and maintainable enterprise applications supporting core business operations and decision makingDevelop containerized applications and microservices with Kubernetes to ensure high availability automated scaling and resilient deployment of production workloads across hybrid environmentsOptimize application performance and database queries by analyzing metrics profiling code and applying tuning techniques that improve response times and resource utilization for complex transactional systemsCreate and maintain secure APIs and integration layers that connect internal platforms and third party systems to streamline data exchange and reduce manual operational overheadCollaborate closely with product managers and business stakeholders to translate requirements into technical designs that align with strategic objectives and deliver measurable outcomes for the organizationReview and refine existing system architectures to identify enhancements in reliability observability and maintainability while reducing technical debt and operational riskImplement automated testing and continuous integration practices that increase release quality and reduce regression issues across services built with Python and data layers powered by SQLMonitor production systems and Kubernetes clusters using standardized tooling to proactively detect issues drive root cause analysis and implement sustainable corrective measuresDocument system designs data models and deployment procedures in clear and accessible formats that support cross team collaboration and smooth onboarding for new engineering colleaguesCollaborate with data and analytics teams to ensure SQL data structures and pipelines are optimized for reporting forecasting and insights that support informed merchandising decisions when applicableDrive adoption of secure coding practices and data protection standards within Python services and SQL data stores to safeguard sensitive information and comply with organizational policiesCoordinate work in a hybrid model and day shift schedule to support timely communication with distributed teams and maintain consistent progress against delivery milestonesContribute to continuous improvement initiatives by evaluating new tools and practices in Kubernetes and Python ecosystems that increase engineering productivity and system reliability
Qualifications
Possess strong hands on experience designing and building production grade services using Python with a focus on clean code structure and reusable components for enterprise applicationsDemonstrate advanced proficiency in SQL for modeling data structures writing complex queries and optimizing execution plans to support transactional and analytical workloadsBring practical experience managing Kubernetes based deployments including configuration scaling and troubleshooting to ensure resilient and efficient application deliveryShow familiarity with hybrid work models and collaborative tools that enable effective coordination across onsite and remote team members during standard day shift schedulesApply sound knowledge of software engineering principles including version control code review practices and automated testing to maintain high quality deliverablesExhibit awareness of security best practices in application and data design to reduce vulnerabilities and protect organizational assets across services and databasesPreferably have exposure to merchandising domain processes such as assortment planning pricing or inventory optimization to better align technical solutions with business valueDisplay strong communication and problem solving abilities to analyze complex requirements propose pragmatic solutions and articulate technical decisions to diverse stakeholders
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.
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