Platforms Engineer I

Swiss Re · Bengaluru

  • Experience5–8 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted28 Sept 2026

About Swiss Re

Swiss Re is hiring in Bengaluru in insurance. This role looks for around 5+ years of experience.

Skills

  • data engineering
  • Java
  • SQL
  • OpenAPI
  • RESTful API design
  • CI/CD
  • DevOps
  • Terraform
  • Kubernetes
  • CloudInit
  • AWS
  • Azure
  • GCP
  • Identity and Access Management
  • application security
  • Python
  • Apache Spark

The role

A platform engineer at an insurance and reinsurance company designs resilient data platforms and builds data engineering solutions with Java and CI/CD. The role applies Terraform and Kubernetes to automate secure, reliable deployment and operations while supporting analytics applications.

Full job description

Platforms Engineer I

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. You will combine hands-on engineering with architectural thinking, driving automation, reliability, security, and engineering excellence across our platforms. In your day-to-day work, you will design and implement automated, reliable, and maintainable software and data-transformation delivery processes, while continuously improving how these solutions are operated in production.

Key Responsibilities

Spearhead the design and development of complex data and software engineering solutions, establishing best practices while simplifying implementation choices.Drive the continuous and incremental evolution of existing solutions, improving their scalability, reliability, maintainability, and developer & customer experience.Advance the prescriptive capabilities of our platforms in line with industry developments in data analytics, access modelling, security, and engineering standards.Collaborate with senior stakeholders across the business to identify and prioritise high-value opportunities, translating business needs into scalable and resilient data solutions, integrations, and analytics applications Review solution designs and implementations, ensuring alignment with architectural principles, engineering standards, security requirements, and internal guidelinesDesign, implement, and continuously enhance CI/CD pipelines and DevOps practices, enabling automated, dependable, and repeatable build, deployment, and operational processes.

About You

Extensive experience in data engineering and Java-based software engineering, including hands-on solution design and architecture.Deep technical expertise in Java 8+, SQL, OpenAPI, and RESTful API design; experience with Palantir Foundry, Python, and Apache Spark would be a strong advantageStrong experience with modern DevOps practices and tooling, including CI/CD, Infrastructure as Code with Terraform, Kubernetes, CloudInit, deployment automation, and major cloud platforms such as AWS, Azure, or GCP.Familiarity with AI-assisted software engineering tools such as GitHub Copilot, Claude Code, or Codex, combined with a solid understanding of system-design concepts including application and platform security, Identity and Access Management (IAM), and secure-by-design principlesStrong strategic thinking, problem-solving skills and business English proficiency, with demonstrated experience leading or steering complex technical initiatives in a multinational and cross-functional environmentAn degree in Computer Science, Engineering, or a related discipline is preferred and well as applicants with strong track of large open source projects contributions.Experience working in regulated environments with rigorous change-management and compliance requirements, or within the insurance or financial-services sectors, would be an advantage

What We Offer

Swiss Re offers a stimulating work environment that values diversity and inclusion, supporting personal and professional growth.

We provide competitive compensation, including performance-related bonuses and a comprehensive benefits package. Join us in our mission to make the world more resilient, leveraging your expertise in data engineering, solution architecture, and management to drive impactful data initiatives.

We eagerly await your application and the opportunity to discuss how you can contribute to Swiss Re's data-driven future as a key member of our leadership team.

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.

Keywords

Reference Code: 139412