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DevOps Engineer

DevOps Engineer at Rheo AI Solutions · Chennai · 4 - 8 years · Bootstrapped · Posted 23 Oct 2022

Rheo AI Solutions's logo

DevOps Engineer

Avinash S's profile picture
Posted by Avinash S
4 - 8 yrs
Best in industry
Chennai
Skills
DevOps
Ansible
skill iconDocker
skill iconJenkins
skill iconAmazon Web Services (AWS)
Technical Architecture
Network Security
Cloud Computing

Job description

 

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team player. You will be a lead developer responsible for the development of new software security policies and enhancements to security on existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. 

 

 

Responsibilities

  • Consulting with management on the operational requirements of software solutions.
  • Contributing expertise on information system options, risk, and operational impact.
  • Mentoring junior software developers in gaining experience and assuming DevOps responsibilities.
  • Managing the installation and configuration of solutions.
  • Collaborating with developers on software requirements, as well as interpreting test stage data.
  • Developing interface simulators and designing automated module deployments.
  • Completing code and script updates, as well as resolving product implementation errors.
  • Overseeing routine maintenance procedures and performing diagnostic tests.
  • Documenting processes and monitoring performance metrics.
  • Conforming to best practices in network administration and cybersecurity.

 

Qualifications

  • Minimum of 2 years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructure such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail and other services provided by AWS.
  • Experience Building a multi-region highly available auto-scaling infrastructure that optimises performance and cost. plan for future infrastructure as well as Maintain & optimise existing infrastructure.
  • Conceptualise, architect and build automated deployment pipelines in a CI/CD environment like Jenkins.
  • Conceptualise, architect and build a containerised infrastructure using Docker, Mesosphere or similar SaaS platforms.
  • Conceptualise, architect and build a secured network utilising VPCs with inputs from the security team.
  • Work with developers & QA to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional and performance status.
  • Work with developers to institute systems, policies and workflows which allow for rollback of deployments Triage release of applications to production environment on a daily basis.
  • Interface with developers and triage SQL queries that need to be executed in production environments.
  • Assist the developers and on calls for other teams with post mortem, follow up and review of issues affecting production availability.
  • Minimum 2 years’ experience in Ansible.
  • Must have written playbook to automate provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
  • Must have had prior experience automating deployments to production and lower environments.
  • Experience with APM tools like New Relic and log management tools.
  • Our entire platform is hosted on AWS, comprising of web applications, webservices, RDS, Redis and Elastic Search clusters and several other AWS resources like EC2, S3, Cloud front, Route53 and SNS.
  • Essential Functions System Architecture Process Design and Implementation
  • Minimum of 2 years scripting experience in Ruby/Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible)Establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
  • Establishing and enforcing systems monitoring tools and standards
  • Establishing and enforcing Risk Assessment policies and standards
  • Establishing and enforcing Escalation policies and standards
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About Rheo AI Solutions

Founded :
2019
Type :
Product
Size :
20-100
Stage :
Bootstrapped

About

Rheo is a smart industrial AI platform that utilizes sensors and machine learning to optimize operational processes.
 
Rheo fosters the right harmony between people and technology through data led focus and transparency, thereby supercharging manufacturing/operations teams into a cohesive unit. At Rheo, we apply the same principles we advocate to our customers by creating effective lean solutions.
 
If you are interested in being part of a fast growing team that transforms the manufacturing workforce using solutions at the forefront of today’s technology, write to us..
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Tech stack

skill iconDocker
Ansible
skill iconAmazon Web Services (AWS)
skill iconJenkins
skill iconNodeJS (Node.js)
skill iconJava
skill iconRuby
skill iconPHP

Company video

Rheo AI Solutions's video section
Rheo AI Solutions's video section

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How do you define the company’s culture?
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Connect with the team

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Abhay Kumar
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Darshan Turakhia
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Avinash S
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Prashanth Iyengar
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Al Brown
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Gowrisankar Palaniappan

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  • Experience in managing VMware environment.
  • Experience in managing cloud-based infrastructure like AWS/Azure.
  • Expertise in windows environment in domain/Forrest/DNS/DHCP. System Administration & Maintenance
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  • Use of system management tool Kaseya and development of new scripts in this tool for deployment of policies.
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  • Manage processes to Create, change, and delete user accounts per request from HR.
  • Repair and recover from hardware or software failures. Coordinate and communicate with impacted constituencies.

Security, Backups & Data Protection

  • Skilled in managing websense/forcepoint DLP/Web security.
  • Experience in managing Kaspersky antivirus system.
  • Perform regular security monitoring to identify any possible intrusions.
  • Perform daily backup operations, ensuring all required file systems and system data are successfully backed up to the appropriate media, recovery tapes or disks are created, and media is recycled and sent off site as necessary.
  • Closely monitoring and developing the procedures for backups of the servers.
  • Perform regular file archival and purge as necessary.

Monitoring, Testing & Troubleshooting

  • Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems and key processes, reviewing system and application logs, and verifying completion of scheduled jobs such as backups.
  • Daily monitor the Server Event Logs, Firewall and other security equipment logs and also the logs of scheduled archival software.
  • Test the operating system software, the networking software and also the computer hardware.
  • Must possess the initiative to resolve issues before they become critical.

Project Management & Documentation

  • To assist IT Head for technical issues on various projects such as support on testing, rolling out and execution of projects.
  • Strong written communication skills including documentation.

mail updated resume with salary details-

email: etalenthire[at]gmail[dot]com

satish: 88O 27 49 743

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skill iconDocker
skill iconKubernetes

We are looking for a Lead DevOps Engineer with strong hands-on experience in AWS, GCP, CI/CD, Kubernetes, Docker, Terraform, Pulumi and DevSecOps. The candidate will lead DevOps teams, drive technical delivery with client stakeholders, design scalable and secure cloud infrastructure, and establish best practices for automation, deployment, reliability, and cost optimization across cloud environments.


### Key Responsibilities


* Lead and mentor DevOps engineers, drive technical execution, and ensure timely delivery of client requirements.

* Engage with client teams and architects to understand requirements, provide technical guidance, and drive solution design and implementation.

* Design, implement, and optimize CI/CD pipelines, GitOps workflows, and automated release processes.

* Architect and manage cloud infrastructure across AWS and GCP (Azure optional) using Infrastructure as Code.

* Lead containerization and orchestration initiatives using Docker, Kubernetes, and Helm.

* Drive DevSecOps, observability, SRE practices, disaster recovery, and cloud cost optimization.

* Troubleshoot complex production issues, drive root cause analysis, and ensure system reliability, security, and performance.

* Collaborate with Development, QA, Security, Architecture, and client teams to drive engineering standards and continuous improvement.


### Mandatory Skills


* 7-9 years of experience in DevOps, Cloud Engineering, or Platform Engineering, including team leadership and client-facing responsibilities.

* Strong hands-on experience with AWS and GCP, including cloud infrastructure, networking, security, and managed services.

* Expertise in CI/CD tools such as Jenkins, Azure DevOps, GitLab CI/CD, GitHub Actions, or equivalent platforms.

* Strong experience with Docker, Kubernetes, Helm, and managed Kubernetes services such as AKS, EKS, or GKE.

* Hands-on expertise in Terraform and Ansible, with experience in Infrastructure as Code and configuration management.

* Experience with GitOps practices and tools such as Argo CD or Flux.

* Strong understanding of Git, branching strategies, release management, and deployment automation.

* Experience implementing DevSecOps practices, including security scanning, secrets management, and vulnerability management.

* Experience with monitoring, logging, alerting, production troubleshooting, and root cause analysis.

* Proficiency in Linux administration, networking fundamentals, and Bash/Python/PowerShell scripting.

* Proven ability to lead teams, manage priorities, communicate with clients, and drive technical decisions independently.

independently.



### Preferred Skills


* Knowledge of SAST/DAST, SBOM, software supply chain security, and security policy enforcement.

* Experience with observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or Splunk.

* Experience with cloud migrations, hybrid environments, disaster recovery, high availability, and cost optimisation.

* Knowledge of service mesh technologies such as Istio or Consul, and API gateways or application gateways.

* Experience with enterprise cloud security, IAM, network security, and infrastructure



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Apprication pvt ltd
at Apprication pvt ltd
1 recruiter
Arshiya Shaikh
Posted by Arshiya Shaikh
icon

Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.

Mumbai
4 - 7 yrs
₹5L - ₹9L / yr
AWS CloudFormation
Bitbucket
skill iconDocker
skill iconKubernetes

Key Responsibilities

  • Automate application deployments from Bitbucket to servers using CI/CD pipelines.
  • Design and manage scalable, highly available AWS infrastructure.
  • Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
  • Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
  • Build and manage Docker containers and server images.
  • Deploy and manage applications using Kubernetes.
  • Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
  • Develop automation scripts using Python and Bash.
  • Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
  • Integrate security and compliance practices into CI/CD pipelines.
  • Optimize infrastructure for security, scalability, performance, and cost.

Required Skills

  • 3+ years of experience in DevOps or a similar role.
  • Strong knowledge of AWS beyond EC2.
  • Hands-on experience with Jenkins or similar CI/CD tools.
  • Experience with Docker and Kubernetes.
  • Good understanding of Terraform/IaC and automation.
  • Proficiency in Python and/or Bash scripting.
  • Knowledge of DevSecOps, security, and compliance best practices.
  • Strong troubleshooting and problem-solving skills.


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sisuni technology pvt Ltd.
at sisuni technology pvt Ltd.
1 candid answer
Sivasankar Avalakunta
Posted by Sivasankar Avalakunta
icon

Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.

Remote only
2 - 4 yrs
₹3L - ₹6L / yr (ESOP available)
* Deploy and maintain company websites and HRM Clo

* Deploy and maintain company websites and HRM Cloud applications.

* Configure and manage cloud servers and Linux environments.

* Set up CI/CD pipelines using GitHub/GitHub Actions.

* Configure domains, DNS, SSL certificates, and HTTPS.

* Deploy frontend, backend/API, and database services.

* Configure production and staging environments.

* Manage Docker containers where required.

* Monitor server performance, uptime, logs, and application health.

* Implement regular database and server backups.

* Maintain security, access controls, firewalls, and server permissions.

* Troubleshoot deployment, server, network, and application issues.

* Work closely with Full-Stack Developers and QA teams.

* Maintain deployment documentation and technical procedures.


Required Skills


* AWS / Azure / DigitalOcean or equivalent cloud platform

* Linux server administration

* Git & GitHub

* CI/CD and GitHub Actions

* Docker

* Nginx / Apache

* DNS & domain configuration

* SSL/TLS and HTTPS

* Database deployment and backup

* Basic networking and security

* Monitoring and troubleshooting

* Experience deploying web applications to production


Preferred Skills


* Kubernetes

* Terraform / Infrastructure as Code

* Cloud security

* Load balancing

* Redis / caching

* PostgreSQL / MySQL / MongoDB

* Experience with Node.js, React, PHP/Laravel, or .NET applications


What We Offer


* Opportunity to work on HRM Cloud and SaaS products

* Exposure to real-world cloud infrastructure and production systems

* Remote/hybrid working opportunity

* Growth opportunities within the technology team

* Opportunity to work with an international product-focused company


How to Apply


Send your CV,GitHub profile, LinkedIn profile, and details of your previous cloud/DevOps projects.


Subject: Application – DevOps & Cloud Engineer

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Techjays
at Techjays
4 candid answers
1 product
SriKrishna T
Posted by SriKrishna T
icon

Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.

Remote, Coimbatore
4 - 12 yrs
Best in industry
DevOps
skill iconAmazon Web Services (AWS)
Windows Azure
Azure OpenAI
Artificial Intelligence (AI)
+5 more

TECHJAYS


THE AI REIMAGINATION COMPANY


Position DevOps Lead

Experience 10+ Years

Location Coimbatore / Hybrid

Joining Immediate / ASAP


Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability

Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps


About Techjays

At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.

Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.

We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.

The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.

You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.

This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.

Key Responsibilities

1. Cloud Infrastructure & Architecture

  • Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
  • Own cloud infrastructure architecture and operations across AWS or Azure.
  • Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
  • Establish infrastructure standards, architecture patterns, and operational best practices.
  • Manage cloud resource provisioning, configuration, scaling, and environment management.
  • Ensure infrastructure meets requirements for availability, performance, security, and reliability.
  • Drive infrastructure improvements through automation and continuous optimization.

2. DevOps & CI/CD Engineering

  • Design, implement, and maintain CI/CD pipelines for application development and deployment.
  • Manage multi-stage deployment workflows across development, testing, staging, and production environments.
  • Implement automated build, testing, deployment, and release processes.
  • Establish reusable pipeline templates, deployment standards, and approval workflows.
  • Manage deployment strategies, including rolling, blue/green, and canary deployments.
  • Implement rollback mechanisms and ensure reliable production releases.
  • Integrate CI/CD workflows with source control, artifact repositories, and container registries.
  • Continuously improve deployment efficiency, release reliability, and engineering productivity.

3. Containerization & Kubernetes Management

  • Architect and manage containerized application environments using Docker and Kubernetes.
  • Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
  • Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
  • Work with Helm charts for application packaging and deployment.
  • Optimize container resource utilization, application scaling, and cluster performance.
  • Troubleshoot complex container and Kubernetes-related production issues.
  • Establish best practices for container security and workload reliability.

4. Infrastructure as Code & Automation

  • Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
  • Automate infrastructure provisioning, configuration management, and environment setup.
  • Develop reusable infrastructure modules and deployment automation workflows.
  • Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
  • Reduce manual intervention through standardization and automation.
  • Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.

5. Monitoring, Reliability & Production Operations

  • Establish centralized monitoring, logging, alerting, and observability across cloud environments.
  • Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
  • Monitor application availability, infrastructure health, resource utilization, and system performance.
  • Lead troubleshooting and resolution of complex production incidents.
  • Conduct root cause analysis and implement permanent corrective actions.
  • Establish operational practices for backup, disaster recovery, availability, and business continuity.
  • Improve system reliability through proactive monitoring and performance optimization.

6. Cloud Security & Governance

  • Implement cloud security best practices across infrastructure and application environments.
  • Manage IAM, RBAC, access controls, service identities, and secrets management.
  • Secure cloud networking, virtual networks, firewalls, and infrastructure access.
  • Implement container security and infrastructure hardening practices.
  • Ensure cloud environments follow organizational security and compliance requirements.
  • Identify infrastructure vulnerabilities and coordinate remediation activities.
  • Establish secure deployment and configuration management practices.

7. AI Infrastructure & Engineering Collaboration

  • Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
  • Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
  • Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
  • Support the infrastructure requirements of AI applications across development, testing, and production environments.
  • Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
  • Evaluate infrastructure technologies and tools that support evolving AI application requirements.

8. Technical Leadership & Team Development

  • Provide technical leadership to DevOps engineers and guide implementation across projects.
  • Establish engineering standards, infrastructure best practices, and operational procedures.
  • Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
  • Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
  • Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
  • Drive continuous improvement across DevOps processes, tools, and engineering practices.

Required Technical Skills & Experience

1. Cloud Platforms

  • 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
  • Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
  • Practical experience designing, deploying, and operating production-grade cloud infrastructure.

AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.

Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.

Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.

2. DevOps & CI/CD

  • Strong experience designing and maintaining CI/CD pipelines.
  • Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
  • Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
  • Experience implementing deployment automation and rollback strategies.
  • Strong understanding of Git workflows and version control practices.

3. Containers & Kubernetes

  • Strong hands-on experience with Docker and Kubernetes.
  • Practical experience managing EKS or AKS environments.
  • Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
  • Experience with Helm and container orchestration.
  • Ability to troubleshoot production container and Kubernetes environments.

4. Infrastructure as Code & Scripting

  • Strong experience with Terraform and Infrastructure as Code practices.
  • Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
  • Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
  • Strong understanding of Linux administration and system troubleshooting.

5. Monitoring & Reliability Engineering

  • Experience implementing infrastructure and application monitoring.
  • Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
  • Understanding of incident management, root cause analysis, performance optimization, and system availability.
  • Experience establishing alerting, operational dashboards, and reliability practices.

6. AI/ML Infrastructure Exposure

  • Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
  • Understanding of infrastructure requirements for deploying and operating AI-powered applications.
  • Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.

Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.

Preferred Skills

  • Experience implementing GitOps workflows using Argo CD or similar tools.
  • Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
  • Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
  • Experience with cloud cost optimization and FinOps practices.
  • Familiarity with AI/ML infrastructure and production GenAI applications.
  • Experience with Python-based automation and infrastructure tooling.
  • Relevant AWS, Azure, Kubernetes, or Terraform certifications.

What We're Looking For Beyond Skills

  • Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
  • Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
  • Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
  • System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
  • Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
  • Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
  • Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
  • AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
  • Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.

Typical Technology Environment

AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products

What We Offer

  • Competitive compensation aligned with experience and expertise.
  • Coimbatore office-based work environment with hybrid flexibility.
  • Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
  • Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
  • Paid holidays and flexible time off.
  • Medical insurance covering self and family, up to ₹4 lakh per person.
  • Opportunities to influence infrastructure architecture and engineering practices.
  • A culture that values clarity, integrity, ownership, and continuous growth.

Join Techjays

If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.

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