Company Name: Wexa AI
Location(s): Hyderabad, India
Job Title: Technical Lead DevOps
Number of Positions: 2
Job Description: We are seeking an experienced Technical Lead DevOps to join our engineering team at Wexa AI. In this role, you will lead our DevOps initiatives, architect and maintain our cloud infrastructure, and drive automation across our development and deployment pipelines. You will work closely with development teams to ensure seamless CI/CD processes, optimize system performance, and maintain high availability of our AI-powered recruitment platform. This is a leadership position where you'll mentor team members, establish best practices, and shape our infrastructure strategy.
Department: Engineering
Employment Type: Full-time
Work Mode: On-site
Seniority Level: Lead
About the Company:
Wexa AI empowers businesses with AI‑driven analytics and automation, turning data into actionable insights. We partner with mid‑size firms across tech, finance, and healthcare, delivering scalable solutions that boost efficiency and innovation. Our culture champions transparency, continuous learning, and diverse collaboration ensuring every voice shapes the future of intelligent enterprise.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 8+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure roles
- 5+ years of hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Proven experience leading DevOps teams or initiatives in a technical leadership capacity
- Strong expertise in containerization (Docker) and orchestration (Kubernetes, EKS, AKS)
- Deep understanding of CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or CircleCI
- Experience with infrastructure as code tools (Terraform, Ansible, CloudFormation)
- Strong scripting skills in Python, Bash, or similar languages
Key Responsibilities:
- Lead the design, implementation, and maintenance of scalable cloud infrastructure on AWS/Azure/GCP
- Architect and optimize CI/CD pipelines for automated testing, deployment, and monitoring
- Manage containerization strategies using Docker and orchestration with Kubernetes
- Implement infrastructure as code using Terraform, CloudFormation, or similar tools
- Establish monitoring, logging, and alerting systems to ensure high availability and performance
- Lead incident response and root cause analysis for production issues
- Mentor and guide junior DevOps engineers and collaborate with development teams
- Drive security best practices including vulnerability management, access control, and compliance
Required Skills (Must-Have):
- Experience with cloud platforms: AWS, Azure, or GCP
- Strong expertise in Kubernetes and containerization
- Hands-on experience with Terraform (Infrastructure as Code)
- Solid understanding of CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.)
- Proficiency in Linux/Unix administration
- Strong knowledge of Git and version control systems
- Experience with IAM, security groups, and access control
- Familiarity with Helm for Kubernetes package management
- Experience with logging and monitoring tools (ELK Stack, Datadog, New Relic, CloudWatch)
- Knowledge of secrets management tools (Vault, AWS Secrets Manager)
- Strong scripting skills in Python and/or Bash
- Experience with multi-cloud architecture
- Understanding of database administration
- Familiarity with service mesh technologies (Istio, Linkerd)
- Experience in cost optimization (FinOps)
- Strong understanding of networking and security best practices
- Experience with GitOps strategies and governance
- Knowledge of security and compliance frameworks
Preferred Skills (Good to Have):
- Experience with MLOps
- Exposure to Gen AI infrastructure
- Strong team leadership and mentoring capabilities
- Understanding of software architecture and system design
You can directly apply for the job using the link below:
https://lnkd.in/gHTwsM6M
Pay: ₹2,500,000.00 - ₹3,000,000.00 per year
Application Question(s):
- What is your current CTC, expected CTC, and notice period, and are you available to join immediately if not serving notice?
- Are you willing to relocate to Hyderabad for this on-site role?
- Which cloud platforms (AWS/Azure/GCP) have you worked with, and what kind of infrastructure have you designed or managed?
- What excites you about working at Wexa AI, and how do you see yourself contributing to our DevOps strategy?
- If a critical production system goes down during peak hours, how would you handle the situation?
Work Location: In person
