Job Opportunity Posted today Updated 12 Nov 2026

Staff Engineer, Quality Engineering IND

Location

Job Description

Position Summary

To help drive this next chapter, we're seeking an experienced and innovative Staff Engineer, Quality Engineering to join our Test Environment & Data Management organization. This role advances test environment management, service virtualization, API mocking, automation, cloud and Kubernetes engineering, and environment observability. You will collaborate across engineering, architecture, product, quality, security, DevOps, and business teams as relevant to deliver scalable, reliable, and high-quality technology solutions.

The ideal candidate combines strong platform and environment engineering expertise with a passion for automation and AI-enabled testing.

Job Responsibilities:

Technology & Delivery

  • Design and support reliable test environment solutions.
  • Develop service virtualization and API mocking capabilities.
  • Improve environment provisioning and configuration processes.
  • Build automation using Python and Java.
  • Establish monitoring and observability practices.

Collaboration & Engineering Excellence

  • Partner with cross-functional teams to translate business and technical needs into effective solutions.
  • Participate in architecture, design, code, and quality reviews as appropriate to the role.
  • Promote automation, reusable engineering practices, operational excellence, and continuous improvement.
  • Support Agile planning, transparent delivery, documentation, and knowledge sharing.

Qualifications:

Required Experience

  • 8 to 10 years of progressive experience in software engineering, quality engineering, platform engineering, data engineering, security engineering, or a closely related field, aligned to the role.
  • Demonstrated experience delivering complex enterprise technology solutions.
  • Strong analytical, problem-solving, collaboration, and communication skills.
  • Experience operating within Agile, DevOps, or continuous delivery environments.

Required Technical Skills

  • Test Environment Management
  • Service Virtualization and API Mocking
  • Python and Java Automation
  • Cloud and Kubernetes
  • AI and LLM-Enabled Testing
  • DevOps and Environment Observability

Preferred Skills & Experience

  • Kubernetes
  • Docker
  • REST and SOAP API Mocking
  • Automated Environment Provisioning

Education

  • Bachelor's degree in computer science and engineering or equivalent

Note: This position is based in Pune, and applications are currently being considered from candidates based in Pune.

Talent Value Proposition statement:

At DIRECTV India, we're building a culture with our people, not for them, grounded in the values of We Care, We Challenge, and We Deliver. We will focus on building a better future than yesterday for our colleagues, customers, and company. As part of our team, you'll help shape the future of enterprise data platforms, enable advanced analytics and AI innovation, and contribute to business-critical capabilities that impact millions of customers. If you're ready to bring your expertise, leadership, and passion for innovation to a team redefining entertainment technology, we'd love to have you join us on this journey.

Headquartered in El Segundo, California, DIRECTV has been a household name in sports and entertainment for 30 years. We've grown our global footprint with DIRECTV India, a capability center in Pune built to support our operations and speed up how we build new technology. Here, our teams work on the platforms and products that bring together satellite and streaming, so customers get their favorite content without the hassle of switching between apps or inputs. From AI-driven personalization to content built around what people actually want to watch, we're shaping what entertainment looks like next, and Pune is a big part of that.

DIRECTV is an equal opportunity employer. Employment decisions are based on business requirements, qualifications, merit, and performance, without discrimination on the basis of legally protected characteristics under applicable laws.

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