Senior Full Stack Software Engineer (Python, Java/Golang, JavaScript) - Remote
Important Disclaimers:
**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**
**Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future**
In this role, you will:
- Applies extensive knowledge of theories, practices and design matters.
- Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
- Exercise a wide latitude in determining objectives and approaches to critical assignments.
- Knowledge with broadcast production or video content management systems
- Knowledge of media management strategies and distribution workflows
- Lead and contributes to development of company objectives across and principles to achieve goals
- Deep understanding of AWS/Azure services and products
- Provide feasibility reviews for potential new projects, including development effort estimates
- Strong understanding of the C4 model and traditional design artifacts
- Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
- Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
- Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets.
Integrate models on owned
infrastructure for inference and integrate third-party AI endpoints.
Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
- Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
- Contribute to our modern backend orchestration or modern web frontends.
- Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments.
Work model: Remote
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in city, state. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What you need to have to be considered:
- 7+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control.
- Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP.
- Practical experience integrating LLMs into software applications.
- You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content.
- Applied experience with Terraform or similar IAC tools to manage cloud resources.
- A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards.
Required Skill set:
1. Python - Strong Exp
2. FAST API
3. Java / Golang
4. JavaScript.
5. Terraform
6. AWS cloud
7. Strong understanding of Software Architecture - C4 Model or similar
8. Version Control
9. SDLC - Strong
Experience, understanding and knowledge of digital and broadcast production operations and workflows
Strong knowledge of AI industry trends and best practices
Strong experience with the C4 model and other traditional design artifacts
Experience working in an Agile environment
-- 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.
Salary and Other Compensation:
Applications will be accepted until 8/30/2026.
The annual salary for this position is between $68K – $140K 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.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
