Are you passionate about building systems that are not only functional but truly dependable Do you thrive at the intersection of quality, reliability, and cloud innovation If you're energized bysolving complex technical challenges with real business impact — this is your moment. Join Swiss Re's Public Cloud Platform Delivery Team in Hyderabad and help shape the future ofsecure, scalable, and resilient cloud platforms.

About The Role

As a Senior QA & Reliability Engineer, you will be at the heart of Swiss Re's cloud transformationjourney — embedding quality and reliability into every layer of our Azure cloud platform. This isnot a siloed QA role. You will think holistically, connecting testing, monitoring, and observabilityas interconnected disciplines that drive real engineering excellence. You will work in a fast-paced,cross-functional environment, partnering with platform, product, and delivery teams to ensure ourcloud solutions are secure, compliant, and built to last.

Key Responsibilities

Define and execute comprehensive test strategies — including integration, performance,chaos, and resilience testing — tailored for cloud-native environments

Build and maintain automated test frameworks and embed quality gates across CI/CDpipelines to enable continuous compliance and consistent delivery standards

Ensure end-to-end functional and non-functional validation (NFRs) across platform servicesand application workloads

Drive test coverage, defect analysis, and root cause resolution to continuously improveplatform reliability

Establish quality metrics and reporting frameworks that provide actionable insights toengineering and leadership teams

Design and maintain logging frameworks, metrics pipelines, distributed tracing, and alertingsystems at scale using Azure Monitor, Application Insights, and Log Analytics

Implement and maintain unit testing for PowerShell using Pester, ensuring high testcoverage and reliability across platform automation

Enforce coding and configuration standards through linting tools across PowerShell, YAML,Bicep, and JSON

Embed quality and reliability practices into the SDLC and DevOps/DevSecOps pipelines, championing a shift-left approach to quality

Apply chaos engineering principles using tools such as Azure Chaos Studio or Gremlin toproactively identify and address reliability risks

Mentor engineers and uplift QA and SRE practices across teams, fostering a culture ofengineering excellence

Partner with Product Owners, Security Leads, Architects, and delivery teams to align qualityoutcomes with business goals and platform strategy

About The Team

The Public Cloud Platform Delivery Team is a core unit within Swiss Re's Public CloudTransformation department. The team is responsible for managing the overall Azure platformsetup, security policies, and service operations — enabling application teams to deliver secure,compliant, and innovative solutions that drive business value. Working closely with applicationdelivery teams, the team partners to innovate, deliver, and operate solutions in a fast, secure,and compliant way.

The team's mission is to: Design, build, and operate secure and compliant cloud platforms, shared services, andtools that enhance value-driven adoption

Provide an efficient engineering experience via platforms and services aligned with CloudTechnology Management steering and guidance

This is a team of curious, driven, and collaborative engineers who take pride in building platformsthat others can rely on — and who are constantly raising the bar on what great cloud engineeringlooks like.

About You

You are a holistic thinker who sees quality, monitoring, and testing as deeply interconnected —not isolated disciplines. You bring clarity and confidence when communicating across technicaland non-technical stakeholders, and you are energized by complexity, not intimidated by it. Youtake ownership, mentor those around you, and are committed to building systems that are notjust functional, but truly dependable.

We Are Looking For Candidates Who Meet These Requirements

Deep hands-on expertise with Microsoft Azure — including Azure Monitor, ApplicationInsights, Log Analytics, Azure Chaos Studio, and related observability, reliability, andplatform services

Strong background in reliability or quality engineering — with proven experience designingand executing testing strategies (integration, performance, chaos/resilience testing) incloud-native environments, including unit testing for PowerShell using Pester

Solid expertise in Infrastructure as Code (IaC) — particularly Bicep — and hands-onexperience integrating testing and validation processes into CI/CD Azure DevOps pipelines

for automated quality and reliability checks

Proven experience with DevOps/DevSecOps methodology — including continuousdeployment, delivery pipelines, test environments, and enforcing coding and configurationstandards through linting across PowerShell, YAML, Bicep, and JSON

Hands-on experience with platform engineering concepts — including golden paths, pavedroad tooling, self-service automation, and internal developer platforms (IDPs), combinedwith experience in Azure landing zone design, platform automation, network topology,access management, and security architecture

Experience with chaos engineering tools such as Gremlin or similar platforms beyond AzureChaos Studio

Proficiency in one or more scripting/programming languages: PowerShell, Bash, or Python

Experience designing application workloads using Cloud Platform Services (IaaS and PaaS)

Familiarity with privileged identity design, high availability architecture, and security architecture in enterprise cloud environments

Strong stakeholder communication skills — comfortable working with Product Owners,Security Leads, Architects, and cross-functional engineering teams

Ability to thrive in a transformational, fast-paced, and complex environment and deliverresults with pragmatism and focus

Proficiency in English (required)

For India, the base salary range for this position will be shared during the recruitment process fora full-time role.

The specific salary offered considers: the requirements, scope, complexity and responsibilities of the role the applicant's own profile including education/qualifications, expertise, specialisation,skills and experience

In the situation where you do not meet all the requirements or you significantly exceed these, theoffered salary may be below or above the advertised range. In addition to your base salary, youmay be eligible for additional rewards and benefits including an attractive performance-basedannual bonus.

Our company has a hybrid work model where the expectation is that you will be in the office atleast 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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