Lead DevOps Engineer

Caizin, LLC; Pune District; On-site; INR 1,400,000 - 1,800,000; Full time

Job summary

Caizin, LLC is seeking a Lead DevOps Engineer to serve as a technical leader and platform architect, responsible for designing and driving sophisticated infrastructure automation strategies, deployment platforms, and reliability initiatives across teams and products. You will unify deployment and modernize CI/CD, building a standardized platform used organization-wide.

Expertise with Terraform, Ansible, AWS, Kubernetes, and related tooling is essential as you mentor engineers, shape enterprise

Qualifications

• 7+ years of experience in DevOps, infrastructure, platform, or systems engineering with leadership.
• Excellent knowledge of CI/CD processes and tooling.
• Hands-on experience with AWS and container orchestration.

Responsibilities

• Own infrastructure and platform architecture, designing scalable, secure, and cost-effective AWS environments, spanning compute, containers, networking, data stores, and messaging, that support hosted enterprise applications.
• Define and drive DevOps strategy and standards across teams: infrastructure as code practices, CI/CD pipeline architecture, deployment patterns, and environment management.
• Lead the unification and modernization of our CI/CD platform, consolidating today’s tooling (GitLab CI, Jenkins, Octopus Deploy) into a standardized, modern deployment solution adopted by engineering teams.
• Lead automation initiatives using Terraform, Ansible, and scripting (Shell, Python) to eliminate manual work, reduce configuration drift, and standardize environments.
• Drive containerization and orchestration strategy with Docker and Kubernetes, guiding adoption, cluster architecture, and operational best practices.
• Lead incident response and root‑cause analysis for complex infrastructure and deployment issues, ensuring durable corrective action, improved observability, and reduced recurrence.
• Champion reliability, observability, and security, building the monitoring, alerting, and self‑healing automation that catches issues before they page anyone, including SSO, IAM, and access‑management solutions for hosted client environments.
• Mentor and uplevel DevOps and software engineers, raising the bar on automation, infrastructure design, debugging, and operational excellence.
• Partner with engineering leadership, development, and client‑facing teams to align infrastructure roadmaps with product and business priorities, and communicate operational posture clearly to technical and non‑technical stakeholders.
• Evaluate and prototype new tools and technologies, guiding adoption decisions with proofs of concept and data‑driven recommendations.
• Shape AI tooling strategy for engineering, evaluating emerging AI tools, defining standards for their use, and driving adoption across teams.
• Architect AI‑augmented workflows and automation pipelines, such as autonomous agent loops that carry multistep engineering tasks to completion, contributing to agent frameworks that optimize context and prompting across the organization.
• Mentor engineers across levels on effective AI integration into their development and operations practices, considering the broader implications of AI tooling on team productivity, code quality, and engineering culture.

Skills

DevOps leadership

CI/CD design

SRE/Platform engineering

Automation

Shell scripting

Python scripting

Problem solving

Communication

Mentorship

On-call

Tools

GitLab CI

Jenkins

Octopus Deploy

Kubernetes

Docker

Terraform

Ansible

Shell scripting

Python

Job description

As a Lead DevOps Engineer, you will serve as a technical leader and platform architect, responsible for designing and driving sophisticated infrastructure automation strategies, deployment platforms, and reliability initiatives across multiple teams and products. You will partner closely with Development, QA, client-facing teams, and leaders across the organization to shape how we build, deploy, and operate modern software.

You will define cross-team deployment strategies, establish enterprise-level infrastructure-as-code standards, and mentor DevOps and software engineers to uplift our operational maturity. You will regularly evaluate new technologies, build proof-of-concept automation solutions, and lead continuous improvements in CI/CD, containerization, observability, and reliability practices. You bring deep expertise in Terraform, Ansible, AWS, and modern DevOps practices, and are comfortable across a broad range of systems including GitLab CI, Jenkins, Octopus Deploy, Kubernetes, networking, scripting, and monitoring.

You are not a pure operations engineer. You bring deep expertise in platform architecture, systems internals, and debugging across the infrastructure stack. You are the kind of engineer who will spend a whole day investigating why something broke the way it did, then design the automation that prevents it from ever happening again. Above all, you will champion a culture of automation-first engineering, ensuring that our platforms are reliable, scalable, secure, and built with infrastructure as code at their core.

Your mission: unify and modernize deployment.

Today, our products are deployed through a mix of pipelines and tooling that grew up alongside the businesses. You will lead the effort to bring them together: designing a single, modern, standardized deployment platform used across the organization, and evolving our CI/CD stack toward containerized, infrastructure-as-code-driven delivery. This is a build-and-transform role, not a keep-the-lights-on role: the robust, automated pipelines you architect are how we reduce manual work, deployment risk, and off-hours incidents.

Responsibilities

• Own infrastructure and platform architecture, designing scalable, secure, and cost-effective AWS environments, spanning compute, containers, networking, data stores, and messaging, that support our hosted enterprise applications.
• Define and drive DevOps strategy and standards across teams: infrastructure as code practices, CI/CD pipeline architecture, deployment patterns, and environment management.
• Lead the unification and modernization of our CI/CD platform, consolidating today’s tooling (GitLab CI, Jenkins, Octopus Deploy) into a standardized, modern deployment solution adopted by engineering teams.
• Lead automation initiatives using Terraform, Ansible, and scripting (Shell, Python) to eliminate manual work, reduce configuration drift, and standardize environments.
• Drive containerization and orchestration strategy with Docker and Kubernetes, guiding adoption, cluster architecture, and operational best practices.
• Lead incident response and root‑cause analysis for complex infrastructure and deployment issues, ensuring durable corrective action, improved observability, and reduced recurrence.
• Champion reliability, observability, and security, building the monitoring, alerting, and self‑healing automation that catches issues before they page anyone, including SSO, IAM, and access‑management solutions for hosted client environments.
• Mentor and uplevel DevOps and software engineers, raising the bar on automation, infrastructure design, debugging, and operational excellence.
• Partner with engineering leadership, development, and client‑facing teams to align infrastructure roadmaps with product and business priorities, and communicate operational posture clearly to technical and non‑technical stakeholders.
• Evaluate and prototype new tools and technologies, guiding adoption decisions with proofs of concept and data‑driven recommendations.
• Shape AI tooling strategy for engineering, evaluating emerging AI tools, defining standards for their use, and driving adoption across teams.
• Architect AI‑augmented workflows and automation pipelines, such as autonomous agent loops that carry multistep engineering tasks to completion, contributing to agent frameworks that optimize context and prompting across the organization.
• Mentor engineers across levels on effective AI integration into their development and operations practices, considering the broader implications of AI tooling on team productivity, code quality, and engineering culture.

Qualifications

• 7+ years of experience in DevOps, infrastructure, platform, or systems engineering roles, with demonstrated technical leadership on complex initiatives.
• Operating Systems: hands‑on experience administering both Linux and Windows servers in production.
• DevOps: strong experience designing and owning CI/CD processes and tools (GitLab CI, Jenkins, Octopus Deploy).
• Containerization: strong knowledge of container technologies (Kubernetes and Docker), including production operations.
• System Automation: deep experience deploying and configuring systems with infrastructure as code (Terraform, Ansible).
• AWS: substantial experience designing and operating a broad AWS estate, including compute and containers (EC2, ECS, Lambda), networking (VPC, ALB/ELB), data stores (S3, RDS, DocumentDB, Redshift), messaging (SQS, SNS), and IAM. Exposure to AWS AI services such as Bedrock is a plus.
• Scripting: strong scripting and automation skills (Shell scripting, Python, etc.).
• Networking: solid knowledge of network protocols and concepts (TCP/IP, DNS, load balancing, etc.).
• Problem Solving: proven ability to analyze and resolve complex infrastructure and application deployment issues, and to lead root‑cause investigations.
• Communication: excellent written and verbal communication, with the ability to influence engineering teams and explain infrastructure decisions and trade‑offs to leadership.
• Mentorship: experience mentoring engineers and raising team capability in automation and operational practices.
• On‑Call: willingness to participate in a shared on‑call rotation, with the explicit mandate that the robust pipelines and automation you build are how we shrink it over time.

Preferred Qualifications

• Experience leading infrastructure or platform initiatives spanning multiple teams, such as migrations, platform re‑architecture, or DevOps transformation programs.
• Experience with observability platforms (metrics, logging, tracing) and building actionable monitoring and alerting.
• Experience with identity and access solutions (SSO, SAML/OIDC, IAM governance) for hosted enterprise applications.
• Experience with security and compliance practices in regulated environments (financial services a plus).
• Experience with cloud cost management and optimization.
• Experience building or operating AI‑augmented engineering workflows (agent frameworks, LLM‑based automation, or AI‑assisted development tooling) and guiding teams on effective adoption.
• Experience supporting multi‑tenant or client‑dedicated hosted environments.