Data Science Platform & DevOps Engineer

Job Description

• Skill Set :

  python for data science

• Total Experience :

  8.00 to 10.00 Years

• No of Openings :

  1

• Job Post Date :

  02/10/2026

• Job Expiry Date :

  31/10/2026

• Domain :

  IT

• Location :

  JUNO BEACH [United States]

• Job Reference No :

  4110761

Job Summary

Data Science Platform & DevOps Engineer

Juno Beach, FL - Onsite

Project Overview

The Power Systems Optimizer (PSO) platform supports energy market analysis, forecasting, optimization, scenario evaluation, and data-driven operational decision-making.

Position Summary

The Data Science Platform & DevOps Engineer will engineer and operationalize the Python-based PSO analytics platform. The role combines application and data platform engineering with GitHub workflow design, CI/CD automation, AWS CDK, automated testing, environment management, and production support. The engineer will also support semantic and reporting layer integration, data access patterns, and prioritized enhancements needed for forecasting and energy market analysis.

Key Responsibilities

• Develop and support Python-based data science, analytics, forecasting, and optimization applications.
• Translate functional and technical requirements into maintainable application, data access, and deployment solutions.
• Enhance GitHub repository structure, branching strategy, pull-request controls, code review standards, and release management.
• Build and maintain GitHub Actions or comparable CI/CD pipelines for build, test, security checks, packaging, deployment, and rollback.
• Develop and maintain AWS CDK components and reusable infrastructure deployment patterns in coordination with the cloud engineer.
• Support semantic and reporting layer evaluation, metadata configuration, query interfaces, caching, and application integration.
• Implement automated unit, integration, regression, deployment, and smoke tests, including test evidence and defect resolution.
• Manage application configuration, secrets integration, environment promotion, observability, and production troubleshooting.
• Create technical designs, test plans, deployment guides, release documentation, and operational runbooks.

Required Qualifications

• Five or more years of experience in software engineering, data engineering, data science platforms, or DevOps delivery.
• Strong Python development experience with data-oriented applications, APIs, packages, testing frameworks, and dependency management.
• Hands-on experience with GitHub, GitHub Actions, CI/CD pipelines, pull-request controls, and release automation.
• Experience with AWS CDK, Terraform, CloudFormation, or comparable infrastructure-as-code tools.
• Experience integrating analytics applications with cloud storage, databases, query services, semantic layers, or reporting tools.
• Experience with automated testing, deployment validation, environment management, monitoring, and production support.
• Strong troubleshooting, technical documentation, communication, and stakeholder collaboration skills.

Preferred Energy Market Experience

• Experience supporting energy market analytics, forecasting, optimization, trading, utility, or renewable energy platforms.
• Familiarity with wholesale power markets, generation operations, transmission systems, or energy trading processes.
• Experience working with market, operational, forecasting, or asset-performance datasets in the energy industry.
• Knowledge of ISO/RTO market structures, including ERCOT, PJM, MISO, SPP, CAISO, NYISO, or ISO-NE.
• Experience with cloud analytics, reporting, visualization, semantic-layer, machine learning, or optimization solutions.

Expected Deliverables

• Updated GitHub repositories, CI/CD workflows, branching standards, and release controls.
• Reusable CDK or infrastructure-as-code enhancements.
• Python application, data access, semantic-layer, and reporting integration deliverables.
• Automated test suites, test plans, deployment validation, and test results.
• Production deployment documentation, knowledge transfer, and support runbooks.

The pay range for this role is $125k - $135k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Thanks & Regards

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected].”