Senior SDET Cloud Delivery Assurance

Role & responsibilities

• Requisition Details

Senior Software Development Engineer in Test, Cloud Delivery Assurance

Requisition details:

Team: Cloud Delivery Assurance (CDA), SaaS Platform Engineering

Location: Pune, India (hybrid two days per week in office)

The Opportunity

We have an opportunity for a Senior Software Development Engineer in Test to join our new

Cloud Delivery Assurance (CDA) team in Bangalore or Pune, India, reporting to the

Director, Cloud Delivery Assurance.

In this pivotal role, you will architect the automation and quality gates that decide whether

our SaaS software is ready to ship. You will own significant components of the automated

promotion pipeline — the frameworks, the gate logic, and the evidence and reporting

Internalbehind every decision to move software from dev clusters to integration and staging

clusters and into production.

Collaborating closely with platform and application engineering teams, Solutions QA (end-

to-end functional testing), Site Reliability Engineering (stress, scale, HA, DR, and chaos

testing), and DevOps, you will set technical direction for how quality is automated across

the platform and raise the bar for the engineers around you.

You are the ideal candidate if you are a senior engineer who builds systems rather than

scripts, are deeply fluent in Kubernetes, Linux, and cloud infrastructure, and use AI-

assisted development to compress what used to take a whole team a quarter.

Be a Contributor — What You’ll Do

• Architect, develop, and own core components of the test-automation framework,

shared libraries, and ephemeral test environments used across platform and

application teams

• Design and implement the quality gates governing artifact promotion — entry and

exit criteria, pass/fail logic, evidence collection, hold-and-return behavior, and

automated rollback

• Lead integration of automated testing into CI/CD pipelines across pre-merge, build,

deploy, post-deploy, and scheduled certification runs

• Build the reporting layer that makes readiness defensible — readiness scorecards,

coverage, escape rate, flakiness, and quality and risk views for engineering

leadership

• Automate deployment, upgrade, mixed-version, and rollback validation across dev,

integration, and staging clusters

• Set technical direction and standards for automation design, test data,

environment management, and pipeline reliability, and drive adoption across teams

• Advance AI-assisted development and AI-generated test coverage within the team,

establishing effective patterns and guardrails

• Lead complex failure investigations spanning code, tests, environments, and

infrastructure, and drive systemic fixes with owning teams

• Partner with Solutions QA to align coverage boundaries and with SRE to consume

scale, HA, DR, and chaos results as gate inputs

• Mentor engineers, lead design and code reviews, and contribute to hiring and to the

team’s technical growth

• Own documentation and runbooks for the automation and gate framework, and

represent CDA in release-readiness and go/no-go reviews

InternalBe Prepared — What You Bring

• Seven or more years of software engineering, test automation, or quality

engineering experience, including demonstrated technical leadership of a

significant automation or delivery-assurance area

• Strong proficiency in at least one modern programming language such as Go,

Python, Java, or JavaScript, with the ability to design systems and review others’

code

• Proven record architecting test-automation frameworks and quality gates and

integrating them into CI/CD using tools such as Jenkins, GitHub Actions, Argo, or

Spinnaker

• Deep system-level knowledge of Kubernetes and Linux — workloads, networking,

storage, Helm, operators, resource behavior, and debugging — plus solid

experience with a public cloud such as AWS or GCP

• Strong DevOps skills including containers, infrastructure as code such as

Terraform, configuration management, and building or operating test and

deployment environments at scale

• Demonstrated use of AI-assisted development tools to accelerate framework

development, test generation, and coverage expansion, with judgment about where

they apply

• Depth in testing distributed systems and microservices, including REST or gRPC

APIs, event-driven systems, and cloud-native applications

• Experience with release engineering concepts such as artifact promotion,

progressive delivery, canary and deployment verification, and rollback

• Strong communication and influence skills, with a record of mentoring engineers

and driving adoption of shared tooling across teams

• Bachelor’s or master’s degree in computer science, engineering, or a related

technical field, or equivalent practical experience

Nice to have: experience with performance, resilience, contract, or security testing;

progressive delivery and canary validation; release engineering; and contributions to

shared engineering frameworks or developer-productivity tooling.