Elastic Stack Engineer – AI Tooling & Automation - Remote at Cognizant - Thailand

Minneapolis, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

90000.0

Posted On

02 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Elastic Stack, Application Performance Monitoring, AI Tools, GitHub Copilot, GitHub Actions, M365 Copilot, Docker, Kubernetes, Linux, CI/CD Pipelines, Infrastructure Automation, Troubleshooting, Documentation, Data Ingestion, Indexing, Visualization

Industry

IT Services and IT Consulting

Description

About the group: Cognizant’s Cloud, Infrastructure, and Security Services Practice (CIS), is all about accepting digital transformation by driving core modernization holistically across layers. We help customers transform infrastructure and workplace to meet the constantly evolving needs of the digital era. Our broad approach delivers key results for our customers by achieving cloud driven modernization and workplace and operational transformation to own the business in a secure environment. Role Overview We are seeking a mid-level engineer to join our team in building and maintaining the Enterprise Elastic APM (Application Performance Monitoring) tool. This role is ideal for someone with strong Elastic Stack experience and a passion for integrating AI-powered development tools. The candidate will play a key role in incorporating GitHub Copilot for source code enhancement, managing GitHub Actions workflows, and utilizing M365 Copilot for scripting updates and automation. Key Responsibilities Design and deploy scalable Elastic Stack solutions, including Elastic Cloud implementations. Assist in migrating legacy monitoring systems to Elastic Stack-based platforms. Manage Elastic Stack components in containerized environments (Docker, Kubernetes). Administer and optimize Elastic Stack on Linux VMs and Elastic Cloud. Integrate AI tools such as GitHub Copilot and GitHub Actions into development and deployment workflows. Leverage M365 Copilot to streamline scripting and automation tasks. Collaborate with cross-functional teams to define data ingestion, indexing, and visualization strategies. Ensure system reliability, performance, and security across all deployments. Document architecture decisions, deployment procedures, and best practices. Required Qualifications 4–6 years of hands-on experience with the full Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). Experience with Elastic Cloud deployment and lifecycle management. Proficiency in container technologies (Docker, Kubernetes). Strong Linux VM administration and deployment skills. Familiarity with CI/CD pipelines and infrastructure automation tools (e.g., Ansible, Terraform). Experience integrating GitHub Copilot and GitHub Actions into development workflows. Exposure to M365 Copilot for scripting and automation. Excellent troubleshooting, communication, and documentation skills. Preferred Skills Experience in enterprise migration projects involving observability tools. Knowledge of APM best practices in large-scale environments. Agile/Scrum team experience. Compensation: - $75,000 to $90,000 +/- and this position are also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Application will be accepted by 11/02/2025 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance. Paid holidays plus Paid Time Off. 401(k) plan and contributions. Long-term/Short-term Disability. Paid Parental Leave. Employee Stock Purchase Plan. Eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design and deploy scalable Elastic Stack solutions while managing Elastic Stack components in containerized environments. Collaborate with cross-functional teams to ensure system reliability, performance, and security across all deployments.