Associate Director, Platform Engineering

The Team:

We are looking for a highly self-motivated hands-on Lead Platform engineer who would focus on our Infrastructure Estate and Devops engineering within our Enterprise Solutions division.

The Impact:

This is an excellent opportunity to join Enterprise Solutions as we transform and harmonize our infrastructure into a unified place while also developing your skills and furthering your career as we plan to power the markets of the future.

Whats in it for you:

This is the place to hone your existing Infrastructure, DevOps and leadership skills while having the chance to become exposed to fresh and divergent technologies (e.g., AWS, IaC/Terraform, Containers, etc.).

Responsibilities:

You will have a passion for educating, training, designing, and building cloud computing systems for a diverse and challenging set of customers and partners.
Have a strong understanding of large-scale cloud computing solutions including setting up and configuring Container platform.
Have experience working with Azure DevOps tool, Jenkins, Docker and Kubernetes or related cloud technologies.
Have excellent communication and troubleshooting skills.
Have ability to present solution of complex problems to technical and non-technical audience.
Have passion to learn new technologies and grow with team.
Setup, configure and monitor CI/CD Pipelines and Container platform; conduct routine maintenance work for smooth operation with guaranteed uptime.
Onboard applications onto the Container platform as demands come.
Assist various DEV and QA teams during their development and testing following the guidelines provided.
Work closely with other leads and manager in day-to-day operation activities.
Conduct regular capacity analysis and POCs.
Develop and maintainthe platform automation tools using Terraform, dashboard and utilities (Java, .NET C#, shell scripting, python etc.).
Experience with setting up Infrastructure via Infrastructure as Code
Lead junior resources providing hands-on guidance and roadmap.

What Were Looking For:

Bachelors degree in computer science, Software Engineering, or related technical field.

15+ years of experience in infrastructure and platform engineering with a strong DevOps focus.

7+ years of hands-on experience with container orchestration platforms such as Kubernetes and Docker Enterprise.

Expertise in CI/CD pipeline development and automation using GitLab, GitHub, and Jenkins.

Proficient in managing middleware and application servers including WebLogic, WebSphere, Tomcat, and Nginx.

Strong background in system monitoring, alerting, and log aggregation using modern observability stacks such as Datadog, Prometheus, Splunk, and ELK.

Advanced knowledge of Linux/Unix and Windows server administration.

Hands-on experience with AWS services including IAM, EC2, S3, Lambda, EKS, ECS, FargateCloudWatch, and VPC networking.

Working knowledge of AIOps concepts and tools to enhance operational efficiency through intelligent automation and predictive analytics.

Experience in designing and implementing end-to-end infrastructure automation using Terraform, including module creation, state management, and integration with CI/CD pipelines.

Ability to lead and mentor junior engineers in adopting DevOps best practices and automation strategies.

Excellent communication and presentation skills, with the ability to engage senior leadership and cross-functional teams.

Willingness to support extended hours on a rotational basis and continuously learn emerging technologies.

Familiarity with SAFe Agile methodologies and practices.

Preferred Qualifications:

Excellent communication (written & verbal) and collaboration skills.
Excellent presentation skills to senior leadership.
Detail-oriented and a good team player.
Willing to work providing support coverage for extended hours on rotation basis.
Willing to learn new technology and acquire new skills.
Familiar or practitioner of SAFe Agile

Additional Skills:
Basic understanding of AIOps and MLOpsconcepts and their application in infrastructure monitoring and automation.