Devops Architect

DevOps Architect

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 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 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 Purpose

The DevOps Architect is responsible for defining and driving the DevOps, cloud, platform, CI/CD, infrastructure automation, and operational architecture required to successfully deliver and operate modern software solutions.

The role works closely with Solution Architects, Technical Architects, engineering teams, security, QA, and operations teams to ensure that applications are buildable, deployable, observable, scalable, secure, and operationally sustainable.

The DevOps Architect is a technical outcome owner for the DevOps and platform dimension of the solution.

Key Responsibilities

DevOps & Platform Architecture

• Define DevOps architecture aligned with application and solution architecture.
• Design CI/CD architecture and delivery pipelines.
• Define infrastructure and platform architecture.
• Design cloud-native and hybrid-cloud deployment approaches.
• Define containerization and orchestration strategies.
• Establish infrastructure-as-code approaches.
• Define environment and configuration management strategies.
• Design deployment, release, rollback, and disaster recovery approaches.

Cloud Architecture

• Design and implement cloud infrastructure architectures across platforms such as Azure, AWS, or GCP.
• Define scalable, resilient, secure, and cost-conscious cloud architectures.
• Evaluate cloud services and technology choices.
• Define networking, compute, storage, identity, security, and platform integration approaches.
• Support cloud migration and modernization initiatives.

CI/CD & Engineering Enablement

• Design enterprise-grade CI/CD pipelines.
• Integrate build, test, security, quality, and deployment controls.
• Implement automated quality and security gates.
• Enable continuous delivery and deployment practices.
• Improve deployment reliability and engineering productivity.
• Establish standardized DevOps patterns and reusable pipeline components.

Infrastructure Automation

• Drive Infrastructure as Code using tools such as Terraform, Bicep, CloudFormation, or equivalent.
• Automate environment provisioning and configuration.
• Promote immutable and repeatable infrastructure practices.
• Define configuration and secrets management approaches.
• Reduce manual operational activities through automation.

Reliability & Observability

• Design monitoring, logging, tracing, alerting, and observability architecture.
• Define availability and reliability mechanisms.
• Support capacity planning and scalability.
• Establish disaster recovery and business continuity mechanisms.
• Participate in production incident analysis and technical remediation.

Security & Compliance

• Integrate security into the DevOps lifecycle.
• Implement DevSecOps practices.
• Integrate security scanning and compliance controls into pipelines.
• Address secrets, identity, access management, vulnerabilities, and infrastructure security.
• Ensure platform architecture aligns with organizational and customer security requirements.

Technical Risk & Delivery

• Identify DevOps, cloud, infrastructure, deployment, and operational risks.
• Develop mitigation and contingency approaches.
• Resolve technical infrastructure and deployment issues.
• Support technical readiness and production readiness.
• Partner with project and technical leadership when infrastructure risks affect delivery commitments.

AI Adoption & Governance

• Identify opportunities to use AI for:

Infrastructure automation

Pipeline generation and optimization

Monitoring and incident analysis

Infrastructure troubleshooting

Documentation

Cloud optimization

Operational automation

• Evaluate AI-enabled DevOps tools and practices.
• Ensure appropriate governance for AI usage within DevOps environments.
• Apply security and privacy controls to AI-enabled operational workflows.

Presales Solutioning

• Provide DevOps and cloud architecture inputs for presales opportunities.
• Define deployment and infrastructure approaches.
• Estimate DevOps effort and infrastructure requirements.
• Assess cloud/platform complexity, dependencies, and risks.
• Participate in client technical workshops and solution discussions.

Technical Competencies

• Strong DevOps architecture.
• AWS/Azure/GCP cloud architecture.
• CI/CD architecture.
• Docker and Kubernetes.
• Infrastructure as Code.
• Terraform/Bicep/CloudFormation or equivalent.
• Git-based development workflows.
• DevSecOps.
• Monitoring and observability.
• Cloud networking and security.
• Identity and access management.
• Infrastructure automation.
• Release and deployment strategies.
• Disaster recovery and resilience.
• Cloud cost optimization.
• SRE principles.
• AI-enabled DevOps and AIOps.

Behavioral Competencies

• Strong technical ownership.
• Systems thinking.
• Strong problem-solving capability.
• Ability to work across development, QA, architecture, and operations.
• Strong communication and collaboration.
• Ability to simplify complex infrastructure concepts.
• Proactive risk identification.
• Continuous improvement mindset.
• Ability to mentor engineers and DevOps practitioners.

Experience & Qualification

• Bachelor's/Master's degree in Computer Science, Engineering, IT, or related discipline.
• Typically 10–18 years of technology experience, with significant DevOps/cloud experience.
• Strong experience designing CI/CD and cloud architectures.
• Hands-on experience with cloud platforms, containers, automation, and Infrastructure as Code.
• Experience with enterprise-scale applications and production environments preferred.