Live opening · Posted 7 days ago

DevOps Engineer

Straive · Mumbai, Maharashtra, India (Hybrid)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyStraive
LocationMumbai, Maharashtra, India (Hybrid)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

About Us
Straive Private Limited (Erstwhile LearningMate Solutions Pvt. Ltd) is 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 data—enabling 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 AIM’s 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT — a purpose-driven global investment organization which was ranked among the world’s 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 seeking a DevOps Engineer with 4–6 years of hands-on experience in managing and automating AWS-based cloud infrastructure, application builds, and deployment pipelines in non-production and production environments.
The ideal candidate will be proficient in Terraform, AWS CloudFormation, AWS CLI, and scripting languages (PowerShell/Shell) to automate infrastructure creation and management. You will be responsible for supporting build and deployment processes for Microsoft .NET, Node.js, and .NET Core applications and containerized environments. As a team player with strong communication skills, you will collaborate closely with internal development teams as well as Developers and Cloud Engineering teams.
Key Responsibilities & Technical Skills:
AWS Infrastructure & Cloud Services
Compute & Containers: Hands-on expertise with AWS EC2 (Windows & Linux), Elastic Beanstalk, ECS (Clusters, Services & Tasks), ECR (Repositories & Docker Containers), and knowledge of Amazon EKS (Kubernetes).
Database Services: Experience with AWS MSSQL RDS, AWS Postgres RDS, Redshift Serverless Clusters.
Storage & Content Delivery: Proficiency in AWS S3, CloudFront, and ElastiCache (Memcached & Redis).
Networking & Security: In-depth understanding of AWS VPC (Public & Private Subnets, Network ACLs, Security Groups, VPNs, Elastic IPs), Load Balancers (ALB, NLB, CLB, Availability Zones, Health Checks, Target Groups), IAM (Groups, Users, Roles, Policies), and AWS KMS.
Serverless & Integration: Hands-on experience with AWS Lambda, API Gateway, and SQS, SNS.
Monitoring & Support: Analyzing logs, building dashboards, and setting alarms using AWS CloudWatch, along with leveraging AWS Support.
Infrastructure as Code (IaC) & Automation
Primary expertise in writing Terraform scripts for infrastructure provision and management.
Proficiency in AWS CloudFormation and AWS CLI.
Strong scripting capabilities using PowerShell and Shell for infrastructure automation tasks.
Application Build, CI/CD & Containerization
Build & Deployment: Experience managing build and deployment processes for Microsoft .NET web applications using MSBuild and PowerShell scripts.
Modern Web & Container App Support: Proficiency in building and deploying Angular, Node.js, and .NET Core applications and Docker containers using combined Shell and PowerShell deployment scripts.
CI/CD Tooling (Jenkins & GitLab): Proven expertise in designing and managing end-to-end CI/CD workflows using Jenkins and GitLab. Skilled in creating declarative and scripted pipelines using Groovy, managing source code and branching strategies in GitLab, containerizing applications with Docker, and automating deployments across AWS EKS, ECS Fargate, and Elastic Beanstalk.

Work arrangement
No

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