Site Reliability Engineer III

McDonald's Restaurants Limited

Hyderabad

On-site

INR 3,000,000 - 5,500,000

Full time

8 days ago
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Job summary

McDonald’s Hyderabad is seeking an exceptionally capable Senior Data Product Engineer SRE to lead the end-to-end reliability of data products. You will own ingestion, processing, and user experience, delivering measurable business value at scale.

The role blends product engineering, data platform expertise, and site reliability practices, requiring strong Python/Java skills, cloud experience, and a proven track record of shipping customer‑facing data products.

Qualifications

  • 8+ years of experience in product engineering, data engineering, or SRE roles.
  • 5+ years building customer-facing data products, analytics platforms, or business.
  • Proven track record of shipping data products that drive measurable business impact.
  • Experience with product development lifecycle from ideation to launch and optimization.
  • Expert-level experience building user-facing applications and APIs.
  • Advanced skills in Python, Java, or Node.js for API development and data services.
  • Expert-level SQL skills and experience optimizing queries for interactive analytics.
  • Extensive experience with AWS or GCP data and compute services.
  • Strong product sense with ability to balance technical constraints with user needs.
  • Strong technical writing skills for customer-facing documentation and API.
  • Experience with agile product development methodologies (Scrum, Kanban, Design track record of building and scaling product engineering teams)

Responsibilities

  • Define and execute product reliability strategy for customer-facing analytics.
  • Translate business requirements into scalable product metrics, KPIs, and success criteria.
  • Lead cross-functional initiatives to improve data product adoption and build dashboards, APIs.
  • Implement A/B testing frameworks and experimentation platforms for data products.
  • Establish and maintain SLAs for data product availability, latency, and accuracy.
  • Implement monitoring for user-facing data products including frontend.
  • Build automated testing frameworks for data product functionality and performance.
  • Lead incident response for data product issues affecting customer experience.
  • Monitor and optimize data product performance from end-user perspective.
  • Implement user feedback collection and product analytics to drive continuous improvement.
  • Collaborate with Product, Engineering, Data Science, and Customer Success.

Skills

Data Engineering
Site Reliability Engineering
Incident Management
Monitoring
Python
Java
SQL
AWS
Azure
GCP
Observability

Tools

Dynatrace
Splunk
Prometheus
Grafana
Datadog
AWS
Azure
GCP

Job description

Job Description:
About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Duties

We are seeking an exceptional Senior Data Product Engineering SRE to lead the development and operational excellence of our data products that deliver insights and drive critical business decisions. This role uniquely combines product engineering mindset, data platform expertise, and site reliability engineering practices to build, scale, and maintain customer-facing data products and internal analytics platforms. You will own the end-to-end reliability of data products from ingestion to user experience, ensuring they deliver business value at scale.

  • Define and execute product reliability strategy for customer-facing analytics.
  • Partner with Product Management to translate business requirements into scalable, establish product metrics, KPIs, and success criteria for data products serving external.
  • Lead cross-functional initiatives to improve data product adoption, engagement, and build and maintain data products including real-time dashboards, analytics APIs, and design user-centric data experiences with focus on performance, reliability.
  • Implement A/B testing frameworks and experimentation platforms for data product.
  • Establish and maintain SLAs for data product availability, latency, and accuracy.
  • Implement comprehensive monitoring for user-facing data products including frontend.
  • Build automated testing frameworks for data product functionality, performance, and lead incident response for data product issues affecting customer experience.
  • Monitor and optimize data product performance from end-user perspective (page load).
  • Implement user feedback collection and product analytics to drive continuous Collaborate closely with Product, Engineering, Data Science, and Customer Success.
Qualifications

Skills Required: Data Engineering, Site Reliability Engineering, Incident Management, Monitoring, Dynatrace, Splunk, Prometheus, Grafana, Datadog, Python, Java, AWS, AZURE, GCP, Observability

  • 8+ years of experience in product engineering, data engineering, or SRE roles.
  • 5+ years building customer-facing data products, analytics platforms, or business.
  • Proven track record of shipping data products that drive measurable business impact.
  • Experience with product development lifecycle from ideation to launch and optimization.
  • Expert-level experience building user-facing applications and APIs.
  • Advanced skills in Python, Java, or Node.js for API development and data services.
  • Expert-level SQL skills and experience optimizing queries for interactive analytics.
  • Extensive experience with AWS or GCP data and compute services.
  • Strong product sense with ability to balance technical constraints with user needs.
  • Strong technical writing skills for customer-facing documentation and API.
  • Experience with agile product development methodologies (Scrum, Kanban, Design track record of building and scaling product engineering teams

McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.

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