{"id":3998538,"url":"https://alion.io/job/cognizant-python-full-stack-engineer","title":"Python Full Stack Engineer","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":87,"open_postings":178,"ghost_share":0,"stale_share":0.489,"repost_share":0.056,"time_to_fill_p50_days":23,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"JavaScript","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-09T19:48:35Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T02:25:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nAs a Full Stack Engineer, you will design, build, test, and enhance cloud-native applications that support the R&D organization. Working at the intersection of science and technology, you will collaborate with product owners, data experts, and engineering teams to deliver reliable, high-quality solutions that enable data-driven decision-making.\nThis role combines full-stack development, cloud engineering, and system design. You will contribute to architecture and engineering practices while building your technical depth and taking ownership of assigned features from development through deployment.\nResponsibilities\nEngineering & Development\nDesign, develop, test, and maintain cloud-native applications across front-end and back-end systems\nBuild and enhance services within modern microservice-based and distributed architectures\nDevelop and integrate RESTful APIs and system interfaces for enterprise platforms\nContribute to infrastructure-as-code solutions and cloud environment configuration\nBuild, use, and improve CI/CD pipelines for automated deployment and delivery\nArchitecture & Design\nContribute to technical design, system architecture, and engineering standards under the guidance of senior engineers\nCreate and maintain technical documentation, including Low-Level Designs, Entity-Relationship diagrams, and component or class diagrams\nWork with stakeholders and senior team members to translate business requirements into effective technical solutions\nQuality & Reliability\nDevelop and maintain automated tests, including unit, integration, and end-to-end tests\nMonitor applications and troubleshoot production issues related to performance and reliability\nFollow security, compliance, and operational standards throughout the software development lifecycle\nCollaboration & Delivery\nWork closely with product managers, data subject-matter experts, and cross-functional teams\nParticipate in Agile development activities, including sprint planning, code reviews, demonstrations, and retrospectives\nCollaborate with global teams and vendors to deliver assigned features and technical solutions\nCommunicate progress, risks, and technical considerations clearly to team members and stakeholders\nData & Platform Integration\nIntegrate applications with enterprise R&D systems and scientific data platforms\nSupport data ingestion, transformation, access, and application integration\nContribute to system interoperability using data models, metadata standards, and enterprise integration patterns\nContinuous Improvement & Growth\nContribute ideas that improve development processes, tools, code quality, and maintainability\nHelp identify and reduce technical debt\nUse AI-assisted development tools responsibly to improve productivity and software quality\nBuild knowledge of cloud-native engineering, R&D platforms, and relevant business domains\nOwnership\nTake ownership of assigned features and components from development through deployment and support\nSeek guidance when needed and incorporate feedback from code reviews and technical discussions\nInvestigate technical issues, propose solutions, and escalate complex design decisions appropriately\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience\n2+ years of software engineering or application development experience\nTechnical Skills\nExperience with Python\nExperience with JavaScript\nExperience developing front-end and back-end application components\nExperience with the React JavaScript framework\nFoundational hands-on experience with AWS cloud services, such as EC2, RDS, or S3\nFamiliarity with infrastructure-as-code concepts and tools such as Terraform\nUnderstanding of microservices, cloud-native design, and REST API development\nData & Systems\nExperience working with relational databases, such as Oracle, PostgreSQL, or MySQL\nFamiliarity with NoSQL databases, such as DynamoDB or Neptune\nBasic knowledge of data pipelines or data-processing platforms, such as Spark or Databricks\nUnderstanding of system design fundamentals and data 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