Sr. Data Scientist
Serve as an Architect specializing in cloud native DevOps and ML Ops solutions using AWS developer tools, Terraform and Git in a hybrid work model. Design scalable automation for application delivery and machine learning workflows that enhance reliability, security and speed of software releases, supporting business innovation and positive societal impact through resilient digital platforms.
Responsibilities
-Design robust end to end cloud architectures that integrate AWS CodePipeline CodeDeploy CodeCommit CodeBuild and CloudFormation to deliver secure and highly automated application release workflows that improve deployment speed and quality across business critical systems.
-Define and implement standard patterns for infrastructure as code using Terraform and AWS CloudFormation enabling consistent reproducible and compliant environments that reduce manual effort and operational risk for development and operations teams.
-Develop efficient ML Ops architectures that streamline model training validation deployment and monitoring so that machine learning solutions move reliably from experimentation to production and deliver measurable value to customers and communities.
-Coordinate closely with application developers data scientists and operations teams to translate complex functional and nonfunctional requirements into practical cloud and DevOps designs that balance performance scalability security and cost efficiency.
-Establish and refine branching strategies and workflow conventions in Git repositories to maintain clean version control practices that support frequent changes traceability and collaboration in a hybrid work environment without disrupting delivery timelines.
-Optimize continuous integration and continuous delivery pipelines across multiple products by configuring automated builds tests security checks and approvals so that releases are predictable auditable and aligned with enterprise governance expectations.
-Create detailed architectural diagrams standards and documentation for cloud deployments pipelines and ML Ops processes ensuring that technical decisions are transparent reusable and easy to onboard for new team members and stakeholders.
-Evaluate existing delivery pipelines infrastructure configurations and ML workflows to identify bottlenecks and risks then propose pragmatic improvements that increase reliability resilience and resource efficiency across environments.
-Collaborate with platform security and compliance stakeholders to embed security by design in CodePipeline CodeDeploy and Terraform based solutions ensuring that encryption access controls and audit mechanisms protect sensitive data and services.
-Guide teams in effective use of AWS managed services and DevOps tooling by conducting design reviews sharing best practices and providing hands on support that helps project squads adopt automation and cloud capabilities with confidence.
-Monitor pipeline performance build times deployment success rates and ML model operational metrics then use data driven insights to tune architectures and processes for continuous improvement and sustainable long term operations.
-Contribute to enterprise wide reference architectures and reusable templates for AWS DevOps and ML Ops so that the organization scales innovation consistently and brings reliable digital solutions to market faster with reduced duplication of effort.
-Align architectural decisions with the company purpose and sustainability goals by favoring efficient resource usage resilient systems and ethical ML practices so that technology solutions positively impact clients employees and broader society.
Certifications Required
AWS Certified DevOps Engineer or AWS Certified Solutions Architect and Terraform certification preferred..
*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 12, 2026,
The annual salary for this position is between $ 90,000 - $ 135,000 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
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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
