Techjays
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Information Technology Support Services · 51 to 200 Employees · Santa Clara, US
In everything we do, we believe in creating a better and brighter future for humanity. The world runs on relationships. At Techjays we are focusing on creating a better future for our clients, our employees, and our communities For our clients, we will utilize our proven process and proprietary tools and methods to engineer and deliver valuable software solutions to solve their most pressing challenges.
Hiring: Engineering
What employees say
+ Techjays is a very good place to grow professionally and develop your career. The work environment is flexible, supportive, and positive, which makes it comfortable to learn and ta
− I haven’t experienced any significant cons so far.
More reviews on the company profile.
Interview experience · Recruiter
Highly professional and transparent interview process. The panels focus on data-driven recruiting strategies and deep technical calibration. A truly human-centric, seamless, and rewarding candidate experience from start
Average difficulty · Coimbatore · 13 reports
More interview insightsJob description
Overview
We're part of the small percentage of companies globally building secure, production-grade AI systems
Responsibilities
- Lead the design, implementation and operation of scalable, secure and highly available cloud
- Own DevOps strategy and technical direction across cloud infrastructure, CI/CD, automation and
- Build and maintain CI/CD pipelines for application and AI-enabled workloads across development,
- Design and manage Kubernetes environments using AKS, EKS, Docker and Helm.
- Implement Infrastructure as Code using Terraform and relevant cloud-native tools.
- Establish deployment standards, reusable pipeline templates and automated release processes.
- Implement monitoring, logging, alerting and operational practices to maintain reliability and
- Work closely with engineering and AI teams to provide the infrastructure required to deploy and
- Support cloud environments used by AI/ML applications, including compute, networking, containers,
- Drive cloud security practices covering IAM/RBAC, secrets, networking, access controls and
- Troubleshoot complex production issues, lead RCA and implement permanent fixes through
- Optimize infrastructure performance and cloud costs while maintaining reliability and scalability.
- Evaluate and introduce DevOps tools and practices that improve engineering productivity and
- Mentor DevOps engineers and provide technical leadership across projects and teams.
Qualifications
- Cloud Technologies (Expert): Strong hands-on expertise in either AWS or Azure. Deep practical
- AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch and related infrastructure services.
- Azure: Azure VMs, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault and
- related infrastructure services.
- CI/CD: Azure DevOps, GitHub Actions, Jenkins, GitLab CI or equivalent, including multi-stage pipelines,
- approvals, artifact management and deployment automation.
- Containers & Kubernetes: Docker, Kubernetes, AKS or EKS, Helm, scaling, networking, secrets and
- production workload management.
- Infrastructure as Code: Strong Terraform experience preferred. Exposure to CloudFormation, Bicep,
- ARM or similar IaC tools is valuable.
- Automation & Scripting: Strong Python, Bash and/or PowerShell skills for infrastructure automation,
- deployment and operational tooling.
- Monitoring & Reliability: CloudWatch, Azure Monitor, Prometheus, Grafana, centralized logging,
- alerting, incident management and performance optimization.
- AI Exposure: Prior experience supporting AI/ML applications, GenAI platforms, AI services, LLM
- applications or AI-enabled products. This is an exposure requirement, not an MLOps-specialist role.
- Cloud specialist: Deep hands-on expertise in either AWS or Azure. You do not need to be an expert in
- Strong DevOps foundation: Proven experience owning CI/CD, cloud infrastructure, containers,
- AI exposure: You have worked with or supported AI/ML, GenAI, LLM or AI-enabled applications and
- Builder mindset: You can design, implement and improve systems rather than only manage existing
- Ownership: You take responsibility for reliability, delivery, security and operational excellence.
- Leadership: You can mentor engineers, drive technical decisions and work effectively with
- Location & availability: Willing to work onsite from the Coimbatore office and available to join
- Relevant AWS, Azure or Kubernetes certifications.
Benefits
- Competitive compensation
- Coimbatore office-based role with a strong engineering environment
- Opportunity to lead production-grade cloud and AI-enabled platforms for global clients
- Exposure to modern AWS/Azure, Kubernetes, DevOps and AI engineering practices
- Paid holidays & flexible time off
- Medical insurance (Self & Family, up to ₹4 Lakhs per person)
- A culture that values clarity, integrity and continuous growth
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Job application FAQ
Last updated 30 September 2026
- How do I apply for Lead DevOps Engineer at Techjays?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Techjays may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead DevOps Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead DevOps Engineer remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Lead DevOps Engineer role at Techjays?
- This is a lead Lead DevOps Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.