Platforms Engineer I

Swiss Re · Bengaluru

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Platforms Engineer I

Are you passionate about building the engineering foundations that power data-driven decisions at a global scale? Join Swiss Re's GDS-Data Platforms SRE team in Bangalore and help shape the future of resilient, intelligent data platforms.

About the Role

As a Platform Engineer within the Data Platforms SRE unit, you will play a key role in shaping and strengthening the engineering foundations behind Swiss Re's structured and unstructured data platforms, including Palantir Foundry and DocuSign. This is a highly impactful role at the intersection of platform engineering, DevOps, software development, and data architecture. You will help design and build scalable, resilient solutions that enable teams across Swiss Re to develop, deploy, and operate data-driven applications with confidence. Combining hands-on engineering with architectural thinking, you will drive automation, reliability, security, and engineering excellence across our platforms — designing and implementing automated, reliable, and maintainable software and data-transformation delivery processes, while continuously improving how these solutions are operated in production.

Key Responsibilities

About the Team

The GDS-Data Platforms SRE team is a globally connected, engineering-focused unit responsible for the reliability, scalability, and continuous evolution of Swiss Re's core data platforms — including Palantir Foundry and DocuSign. The team sits at the heart of Swiss Re's data strategy, owning the engineering foundations that enable business units and technology teams worldwide to build, deploy, and operate data-driven applications with speed and confidence. With a strong culture of DevOps excellence, automation, and secure-by-design thinking, the team drives platform innovation while ensuring the highest standards of operational resilience across Swiss Re's data ecosystem.

About You

You are a technically deep, curious, and collaborative engineer who thrives in complex, cross-functional environments. You bring a strong blend of hands-on engineering expertise and strategic thinking, and you are energised by the challenge of building platforms that others rely on to do their best work. You communicate with clarity, take ownership of outcomes, and are committed to continuous improvement — both in the systems you build and in yourself.

We are looking for candidates who meet these requirements:

These are additional nice to haves:

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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Reference Code: 139412 

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