DevOps Engineer

In Time Tec is an award-winning IT & software company. In Time Tec offers progressive software development services, enabling its clients to keep their brightest and most valuable talent focused on innovation. In Time Tec has a leadership team averaging 15 years in software/firmware R&D, and 20 years building onshore/offshore R&D teams. We are looking for rare talent to join us. People having a positive mindset and great organizational skills will be drawn to the position. Your capacity to take initiative and solve problems as they emerge, flexibility, and honesty, will be key factors for your success at In Time Tec.

Job Overview:

The position requires an experienced and ambitious candidate who is passionate about technology and self-driven. We have an energetic workplace where we welcome innovative ideas and offer growth opportunities and a positive environment for accomplishing goals. Our purpose is to create abundance for everyone we touch.

Responsibilities of the role include:

• Design, automate, and manage infrastructure provisioning across AWS, Azure, and OpenStack environments using Infrastructure as Code (Cloud Formation, Azure Resource Manager, Terraform, Terragrunt).
• Build and maintain robust CI/CD pipelines to enable fast, reliable, and repeatable application delivery. 
• Proactive Monitoring of overall infrastructure (Logs/Resources etc).
• Deploy, operate, and scale Kubernetes clusters for container orchestration, ensuring high availability and optimal resource utilization.
• Deploy applications across multiple cloud environments (dev, staging, production) with zero-downtime strategies. 
• Implement proactive monitoring, logging, and alerting across infrastructure and applications (logs, metrics, resource utilization).
• Lead and mentor team members, driving them toward project goals and defined milestones. 
• Practice and implement best practices in every aspect of project deliverable. 
• Review and design solution architecture - both high-level and detailed - for cloud-based systems.
• Evaluate new cloud products and services, assess their architectural impact, and recommend adoption where appropriate.
• Stay current with emerging tools and frameworks and enable the team to adopt them effectively. 

Skills Required: 

• 2+ years of hands-on DevOps/Cloud experience.
• Strong expertise in AWS and Azure (OpenStack exposure is a plus), including cloud-native automation tools such as AWS CloudFormation and Azure Resource Manager (ARM/Bicep).
• Experience in Automation of CI/CD processes using tools such as GIT, Jenkins, CircleCI, Azure Pipeline, Gitlab. 
• Manage containerized applications using Docker, ensuring optimal performance and resource utilization.
• Proven experience deploying, managing, and troubleshooting production Kubernetes clusters (EKS/AKS preferred).
• Hands-on experience with Terraform and Terragrunt; familiarity with configuration management tools (Ansible, Chef, Puppet, PowerShell DSC).
• Strong proficiency in Python and PowerShell; working knowledge of Shell/Bash.
• Experience with tools such as Prometheus, Grafana, ELK Stack, Splunk, Nagios, or Zabbix.
• Web Server/Application Server deployments and administration. 
• Good Communication, Team Handling, Problem-solving, Work Ethic and Creativity.
• Experience leading cloud migration, data integration, and consolidation from traditional (on-prem) to cloud data structures.
• Excellent written and verbal communication skills and the ability to handle multiple tasks under tight deadlines.

Good-to-Have Skills

• Experience deploying AI/ML models and AI services on cloud platforms (AWS SageMaker, Azure ML, Azure OpenAI, AWS Bedrock).
• Familiarity with LLM inference and serving frameworks such as vLLM, TGI, or Triton Inference Server.
• Experience with GPU-based workloads on Kubernetes (node pools, autoscaling, resource scheduling for inference).
• Exposure to MLOps practices and pipelines.
  
  Qualification Required: 
• Candidates with B.Tech or M Tech degree are preferred. 
• Must have Associate and above level certifications. If you do not have certification, please do not apply.

How You’ll Grow at In Time Tec

In Time Tec, has made significant investments to create a stimulating environment for its people to grow. We want each of our employees to grow in their way and play their roles while honing their ownership abilities. As part of those efforts, we provide our professionals with a range of educational opportunities to help them grow in their career.

Our guiding principles of leadership, trust, transparency, and integrity serve as the foundation for everything we do and every success we achieve. We are proud of these fundamental principles since they demonstrate our dedication towards them as a “One Team”.

We value every individual by giving them the freedom to make daily decisions that can support their health, well-being, confidence, and awareness. Our leadership team is there to offer the safe base by giving the right budding environment, instruction, tools, and chances necessary for your professional development in achieving your goals.

Our people and culture work together in a collaborative environment, making In Time Tec a thriving place to work. You can find out more about Life at In Time Tec here.

Department

All Departments

Open Positions

2

Skills Required

AWS, Azure, Docker, Kubernetes (EKS/AKS), Terraform, Python, PowerShell, Shell/Bash Scripting, Git, Jenkins, Azure DevOps Pipelines, GitLab CI/CD, CloudFormation, Azure Resource Manager (ARM/Bicep), CI/CD, Infrastructure as Code (IaC).

Role

Responsibilities of the role include:

• Design, automate, and manage infrastructure provisioning across AWS, Azure, and OpenStack environments using Infrastructure as Code (Cloud Formation, Azure Resource Manager, Terraform, Terragrunt).
• Build and maintain robust CI/CD pipelines to enable fast, reliable, and repeatable application delivery. 
• Proactive Monitoring of overall infrastructure (Logs/Resources etc).
• Deploy, operate, and scale Kubernetes clusters for container orchestration, ensuring high availability and optimal resource utilization.
• Deploy applications across multiple cloud environments (dev, staging, production) with zero-downtime strategies. 
• Implement proactive monitoring, logging, and alerting across infrastructure and applications (logs, metrics, resource utilization).
• Lead and mentor team members, driving them toward project goals and defined milestones. 
• Practice and implement best practices in every aspect of project deliverable. 
• Review and design solution architecture - both high-level and detailed - for cloud-based systems.
• Evaluate new cloud products and services, assess their architectural impact, and recommend adoption where appropriate.
• Stay current with emerging tools and frameworks and enable the team to adopt them effectively. 

Desirable Skills

AWS SageMaker, Azure Machine Learning, Azure OpenAI, AWS Bedrock, AI/ML Model Deployment, MLOps, Large Language Models (LLMs), vLLM, Text Generation Inference (TGI), Triton Inference Server, GPU Workloads on Kubernetes, Kubernetes Autoscaling, AI Inference, Cloud AI Services.

Years Of Exp

2 to 3 years

Designation

Software Engineer