Senior Software Engineer (AWS DevOps) (India)

Senior Software Engineer (AWS DevOps) (India)

27 Oct
|
Xplor
|
India

27 Oct

Xplor

India

Company Description Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation, golf and club, field services, laundry, education, and other membership-based and service-based industries simplify operations, uncover insights, and elevate customer and member experiences.
Join our Embedded Payments team as Sr. Software Engineer in Test in Pune, India to make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to elevate everyday life experiences for our customers and the people and communities they serve.
Reporting into the Director of Software Engineering, you will help lead the technical direction of our QA engineering function. You're joining a team that already has strong Playwright-based automation in place, owned by our Sr. QA Automation Engineer. Your job is to collaborate on that foundation, bring best engineering practices to the forefront, and help evolve it into something the rest of the team can grow into.
You will design framework architecture, drive load and async testing capabilities, integrate quality deeply into CI/CD pipelines, and be the person engineering and product turn to when they need to understand risk. QA Automation Engineer, contributing engineering rigor to what's already working while expanding what's possible.
Our platform is a cloud-native, event-driven payment orchestration system processing high transaction volumes across multiple clients and acquirers. Load testing and async workflow validation are not edge cases here -- they are core to how we define done.
Our Tech Stack
Front-end: React (CRA), Material-UI, JavaScript
Testing: Backend: Node.js, AWS deployed on ECS, RDS, API Gateway, Lambda, Cognito
DevOps: QA Automation Engineer on test framework architecture -- contributing engineering best practices, evolving shared standards, and helping mature the Playwright suite and shared test infrastructure across the engineering organization.
Define and lead the load and performance testing strategy -- scenario design, tooling selection, baseline definition, and translating results into engineering decisions.
Build and own test harnesses for async,



event-driven workflows -- validating SQS-driven processes, EventBridge patterns, and Lambda invocations where outcomes are eventual rather than immediate.
Establish patterns for testing correctness in async financial operations: retry logic, idempotency, dead letter queue handling, and state consistency across distributed service boundaries.
Own CI/CD quality gate configuration -- pipeline integration, parallel execution strategy, failure triage, and signal quality (low noise, high defect detection).
Drive API and contract testing strategy across services, ensuring integration failures are caught well before production.
Build quality observability into the engineering process: coverage trends, flakiness dashboards, test metrics, and regression-to-incident traceability.
Collaborate with engineering leads during design and architecture — representing quality risk as a first-class input to technical decisions.
Set the standard for AI-assisted test engineering on the team — actively using and evangelizing tools like GitHub Copilot, Claude, or Cursor for test authoring, gap analysis, and triage.
Mentor and technically guide QA team members, building SET capability across the function over time.
Identify systemic quality gaps and drive engineering-level solutions, not just additional test cases.
8 years of professional experience in test engineering or software development; Bachelor’s in a technical discipline or equivalent.

- Experience mentoring engineers or QA team members in engineering practices.
- Robust communicator — able to represent quality risk clearly to engineers, product managers, and engineering leadership.
- Demonstrated daily habit with AI coding assistants (Copilot, Claude, Cursor, or similar) — and the ability to bring the team along.
- Experience with test management tooling (Jira, XRay, Zephyr, or similar) and a track record of building test suites that stay meaningful at scale.
- Deep API testing expertise — RESTful services,



contract validation, schema testing, and tooling ownership.
- Experience owning CI/CD pipeline quality integration — gate configuration, test parallelization, and pipeline reliability.
- Solid understanding of AWS messaging and eventing primitives: Strong experience testing async, event-driven systems — asserting on eventual consistency, validating retry and idempotency behavior, and building harnesses that operate independently of the full system.
- Proven experience designing and owning load and performance testing programs — tooling (k6, JMeter, Artillery, or equivalent), scenario definition, baseline tracking, and engineering feedback loops.
- Deep hands-on experience with Playwright — framework authorship, architecture decisions, and suite-level optimization.
- Strong programming fundamentals in Node.js — able to design and build test frameworks, shared libraries, and tooling from scratch, not just author tests within existing ones.

As an Xplorer, you will be part of a global network of talented colleagues who will support your success. Paid Parental Leave benefit programs

- #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community
- Ongoing dedication to Diversity & Inclusion initiatives such as D&I; Council, Global Mentorship Program
- Access to free mental health support
- Flexible working arrangements

We kindly ask you to apply through our careers portal or external job boards (LinkedIn, Naukri, Indeed, etc) only . Our connected ecosystem helps operators spend less time managing complexity and more time delivering the experiences that matter most.
Xplor does not sponsor visas, either at the time of hire or at any later time.
EEO and Artificial Intelligence
We use an applicant tracking system that includes artificial intelligence enabled features to assist with the screening and assessment of job applications, such as candidate scoring or ranking. We do not rely on artificial intelligence to make final hiring decisions. Find our Candidate AI Usage guidelines here.
We do not unfairly discriminate on any ground, including race, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin, disability or any other category protected by applicable law.

📌 Senior Software Engineer (AWS DevOps) (India)
🏢 Xplor
📍 India

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