Multi Cloud Engineer

Job Responsibility:

Cloud Engineer

At Cognizant, our global community sets us apart—an energetic, collaborative and inclusive workplace where everyone can thrive! And with projects at the forefront of innovation, you can build a varied, rewarding career and draw inspiration from dedicated colleagues and leaders. Cognizant is right where you belong.

Role overview

We seek cloud engineers who provide hands-on technical skills in the Kubernetes platform and share industry standard methodologies on core DevOps/SRE principles and tools. The Consultant participates in the end-to-end implementation and operational aspects of the client's environment by working closely with the customer's technical teams and development teams to ensure we get the most out of the software in any execution environment (public cloud infrastructure like AWS, Azure, OCI, GCP and on-prem) using Kubernetes platform.

What you'll do

• Thorough understanding about how this product can solve customer challenges. Be proficient in the product capabilities and position as a domain expert.

• Understand the product suite and ecosystem, such as related products in the suite and other integrated applications.

• Work on multi-cloud environments such as AWS, Azure, Oracle Cloud Infrastructure, and GCP using the native Kubernetes platform (like EKS, AKS, GKE, and OKE in respective cloud environments).

• Analyze the performance requirements and perform the sizing exercise to recommend appropriate compute and infra specifications to the customer. As necessary, assist the customer with the Kubernetes cluster setup.

• Deploy the application and its components in the Kubernetes platform in the execution platform of the customer's infrastructure (like AWS, Azure, OCI, GCP, on-prem, or custom private cloud infra).

• Implement Application Performance Monitoring using the tools of customers' choice (like Datadog, Dynatrace, AppDynamics, New Relic, Prometheus, etc.) and set up appropriate monitoring to ensure the products' responsiveness, security, resilience, and efficiency.

• Provide ongoing support should the customer require assistance, the monitors go off, or the customer report any concerns/challenges. This role is expected to be on-call periodically to provide operational support post-implementation.

What you bring to the role

• Proven experience (5+ years) in enterprise-level DevOps role. (Minimum 3 years with Cloud AWS/Azure and 2 years with Kubernetes Administration)

• Expertise in Kubernetes administration/development, hands-on experience in Helm

• Solid understanding of infrastructure components (e.g., routers, load balancers, cloud products, container systems, compute, storage, and networks)

• Expertise in observability and monitoring tools like Dynatrace, Datadog, AppDynamics, Splunk, etc.

• A deep understanding of Application performance monitoring (APM) and user monitoring is critical.

• Sound knowledge of ITSM process, SI/SLO/SLA management, incident resolution, and automation techniques

• Strong IP networking fundamentals and experience with usage of standard application protocols and messages (e.g., TCP/IP, SOAP, RESTful APIs, XML/JSON, JDBC, JMS/MQ)

• Experience with Infrastructure as Code (IaC): Ansible, AWS Cloud Formation, etc., is preferable.

• Ability to code in one of the programming languages (Java, Python, Shell, etc.)

• Experience in site reliability engineering in Java, Kubernetes, and Database platforms (like Postgres)

Working arrangements

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Ontario and/or Nova Scotia, where our hubs are located. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.