Senior Site Reliability Engineer

About Kinaxis

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.  

In 1984, we started out as a team of three engineers based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers.

Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work CertifiedTM. Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration.

Location

Chennai, India

About The Team

The Site Reliability Engineering team is responsible for the delivery, management, and monitoring of Kinaxis products and cloud infrastructure in our production offerings. We are responsible for ensuring service availability and performance to our customers globally, 7x24x365.

What you will do

• Within the functions of cloud operations, the incumbent contributes to and supports the production eco-system with emphasis on Software-as-a-Service to customers. While working in collaboration with engineering teams to ensure systems are designed and implemented with operability, security, performance, and availability.
• The operations role will continue to evolve in leveraging infrastructure, software engineering principles and financial governance, to address operational challenges with a focus on increased automation. 
• Deliver customer excellence, making sure that Kinaxis meets all SLA objectives .
• Apply software engineering principles to operational challenges with a focus on automation, self- healing and monitoring solutions.
• Manage the lifecycle of customer production systems; deploy, upgrade, configure, decommission.
• Triage service requests and incidents.
• Excel at overcoming operational challenges.
• Support workload migrations from our physical data centers to cloud environments.
• Participate in an on-call rotation:
• Investigate, resolve incidents
• p rovide root cause analysis relating to production systems.
• Lead team members in achieving professional excellence utilizing industry best practices.
• Actively leads and engages with the team to develop and grow the team’s skills through sharing experiences and results of research on the latest technology trends.
  
  

Technologies we use

• Ability to work independently, and as part of a team.
• Prior experience working in ITIL-based methodologies, including Incident and Change Management.
• Practical experience with:
• Applications (Windows, Linux)
• Containers (Helm, Docker)
• Orchestration/Automation (Kubernetes, Ansible, Terraform, Jenkins)
• System monitoring and centralized logging (Datadog, Prometheus, ELK).
• In-depth and proactive communication and documentation skills.
  
  

What we are looking for

• Prior experience in an infrastructure engineering or site reliability engineering role.
• 5+ years of experience deploying and supporting applications.
• 5+ years of experience with managing public cloud platforms (both console and API) like GCP, Azure or AWS.
• 5+ Experience developing in Ansible, Terraform, PowerShell, Bash and Python
  
  

#Intermediate #Fulltime, #Full-time

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 Ford, Unilever, Yamaha, P&G, Lockheed-Martin, 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 net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons
  
  

For more information, visit the Kinaxis web site 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 [email protected]. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

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.