Lead DevOps Engineer

About Us

Straive Private Limited (Erstwhile LearningMate Solutions Pvt. Ltd) is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of ~20,000 professionals serving 350+clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured dataenabling organizations to build AI systems grounded in accuracy, context, and business relevance. The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIMs 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the worlds leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.

Role Overview

We are looking for an experienced Lead DevOps Engineer with strong expertise in AWS cloud infrastructure, CI/CD automation, Infrastructure as Code, container orchestration, and application deployment automation. The role will focus on building scalable, secure, and reliable cloud environments, improving deployment velocity, and driving DevOps best practices across engineering teams.

Key Responsibilities

Cloud Infrastructure & Automation

• Design, provision, and manage AWS infrastructure using Terraform, CloudFormation, and AWS CLI.
• Manage AWS services including Kubernetes, EC2 (Windows/Linux), VPC, IAM, Load Balancers, RDS, S3, CloudFront, ECS, EKS, Elastic Beanstalk, Lambda, API Gateway, SQS, ElastiCache, CloudWatch, and KMS.
• Implement scalable, secure, and highly available cloud architectures.

CI/CD & Release Automation

• Design and maintain CI/CD pipelines using Jenkins, Bitbucket, GitLab CI, GitHub Actions
• Develop automated build, deployment, and release workflows.
• Manage branching strategies, build automation, and deployment processes.
• Integrate automated unit, integration, and end-to-end testing into pipelines.

Application Build & Deployment

• Manage build and deployment processes for:

Microsoft .NET Framework / .NET Core applications using MSBuild.

Angular + Node.js applications.

Dockerized applications.

• Create deployment automation scripts using PowerShell, Shell, Python, or Groovy.
• Manage IIS, App Pools, Apache, and Nginx environments.

Containers & Orchestration

• Hands-on experience with Docker, Kubernetes (EKS preferred), ECS, and container-based deployments.
• Manage container lifecycle, scaling, networking, and production deployments.
• Implement deployment strategies such as rolling updates and blue-green deployments.

Monitoring, Reliability & Security

• Implement monitoring, logging, and alerting using tools such as:

CloudWatch

Prometheus / Grafana

ELK Stack

Datadog / New Relic

• Perform incident management, troubleshooting, RCA, and reliability improvements.
• Implement DevSecOps practices including vulnerability scanning, secrets management, and security controls.

Collaboration & Agile Delivery

• Work closely with development, QA, security, and customer engineering teams.
• Participate in Agile ceremonies using Jira and Confluence.
• Support release planning, environment management, and production readiness activities.

Required Skills & Experience

• 11-15 years of experience in DevOps / SRE / Platform Engineering roles.
• Strong AWS hands-on experience in designing and managing cloud infrastructure.
• Expert knowledge of:

Terraform (primary)

Kubernetes, Helm charts, manifest files, scaling policies

AWS CloudFormation

AWS CLI automation

• Strong experience with:

Jenkins / GitLab CI/CD

Docker

Kubernetes (AWS EKS preferred)

ECS / Fargate

• Strong Linux/Windows administration and networking knowledge.
• Experience with:

VPC, Subnets, Security Groups, Load Balancers

IAM roles/policies

Cloud security best practices

• Hands on strong scripting skills in PowerShell, Bash, Python, or Groovy.
• Strong troubleshooting and problem-solving skills.
• Excellent communication skills with technical and customer-facing teams.

Preferred Skills / Good to Have

• AWS Certified DevOps Engineer Professional certification.
• Certified Kubernetes Administrator (CKA)
• Experience with Ansible or other configuration management tools.
• Experience with:

Zero-downtime deployments

Blue-green deployments

Rolling deployments

Service mesh technologies

• Database knowledge:

AWS RDS SQL Server/MySQL

Aurora MySQL

Redis / Memcached

• Knowledge of advanced networking:

VPC Peering

VPNs

Firewalls

Load balancing

• Experience with AI-assisted DevOps automation tools.

Technical Environment

Cloud: AWS
IaC: Terraform, CloudFormation
CI/CD: Jenkins, GitLab CI, GitHub Actions
Containers: Docker, Kubernetes (EKS), ECS
OS: Windows Server, Linux
Web Servers: IIS, Nginx, Apache
Scripting: PowerShell, Bash, Python, Groovy, Git CLI
Monitoring: CloudWatch, Prometheus, Grafana, ELK, Datadog
Agile Tools: Jira, Confluence