About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today's volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Chennai, India

About The Team

Kinaxis is looking for a Deployment Specialist to support our Market Validation (MV) environments, which are production-like environments used by our Business Consulting teams for customer demos, betas, and validations, and also to support and help evolve our Product Verification (PV) Release Regression program. In this role, you'll help keep MV environments stable and demo-ready while partnering with Engineering (Development) teams to maintain dependable regression pipelines and clear quality signals.

What You Will Do

As a Deployment Specialist, you'll orchestrate automated MV deployments and upgrades and continuously improve the automation that deploys and validates production-like demo environments. You'll also help keep release regression signal green for official and release builds. You'll bring an operational mindset and strong scripting/automation skills, acting as the first responder for MV incidents, performing initial troubleshooting, coordinating triage for environment and pipeline issues, and partnering with Engineering teams on deeper fixes.

Orchestrate automated deployments and upgrades for multiple Market Validation (MV) environments used for demos, betas, and customer validation; maintain runbooks and standard operating procedures in Confluence and track work/change requests in Jira.
Build and maintain deployment automation (scripts and CI/CD pipelines) to provision, configure, upgrade and validate MV environments.
Support PV Release Regression runs; investigate failures, improve diagnostics, and help keep regression runs actionable and consistent.
Log PV Release Regression outcomes consistently in Jira; document regression procedures, known issues, and troubleshooting guidance in Confluence.
Triage failures across deployments, environments, and regression pipelines: collect artifacts, isolate likely cause (test, pipeline, environment, or product), apply safe mitigations where appropriate, and escalate with clear evidence.
Monitor MV environment health and proactively address common risks (configuration drift, expiring certificates, capacity constraints & failing integrations) to protect demo readiness.
Update automated tests and pipeline logic when application behavior changes; help convert manual test plans into automated checks and integrate them into shared regression/E2E suites.
Help define and track operational success measures for MV readiness
Maintain regression health and drive continuous improvements based on data.
Leverage AI-assisted tools to improve operational efficiency (e.g., log analysis, failure triage, deployment insights) and to identify patterns in deployment failures, flaky tests, and environment instability; proactively recommend mitigations.

What We Are Looking For

Core requirements

3+ years in deployment/release engineering, environment operations, DevOps, or test automation supporting multi-component enterprise applications.
Strong troubleshooting skills: logs, configs, integrations, and pipeline failures; able to create clear escalation packages and follow issues through to resolution.
Hands-on scripting/programming across multiple languages used in test and pipeline ecosystems, such as Java, VBScript, Batch, Shell, PowerShell , TypeScript, Groovy, and Python .
Strong Git fundamentals and experience collaborating via pull requests and code reviews.

Deployment automation & Orchestration

Experience building and operating CI/CD pipelines and deployment automation (e.g., Jenkins/Groovy, GitHub Actions, Azure DevOps, Cloud Build), including scheduling, gated runs, post-deploy verification , and artifact retention.

Validation, regression, and test automation

Experience executing and troubleshooting automated regression/E2E suites used as quality gates for official and release builds, comfortable updating tests when application behavior changes.
Experience with test automation frameworks/tools (e.g., JUnit/TestNG, pytest, Playwright/Selenium/UFT) and improving diagnostics/reporting (flake reduction, actionable results).

Environment operations

Experience supporting production-like environments with monitoring/alerting, certificate awareness (TLS), and basic networking concepts (DNS). Kubernetes/container exposure is an asset. Public cloud experience is also an asset (e.g., understanding common resources and concepts in Azure and/or GCP)

Ways of working

Clear communicator who can work across time zones with Business Consulting, PV, and Engineering teams; comfortable with incident-style workflows.

Education

Degree or diploma in Computer Science (or equivalent practical experience).

#Associate

Work With Impact: Our platform directly helps companies power the world's supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we're committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

Flexible vacation and Kinaxis Days (company-wide days off)
Flexible work options
Physical and mental well-being programs
Regularly scheduled virtual fitness classes
Mentorship programs, training, and career development
Recognition programs and referral rewards
Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company's blog at http://blog.kinaxis.com .

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at [HIDDEN TEXT]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

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