DevOps Engineer (C2C)

Company Description

The client is currently the industry's only Manufacturing Operating System, designed to deliver unparalleled automation, precision, and scalability to factories. By integrating advanced technologies, they empower manufacturers to optimize production processes and achieve greater control over operations. Their innovative solutions drive smarter, more efficient factories. Join us to contribute to the future of intelligent manufacturing.

Role Description

We are seeking a Kubernetes Engineer for a full-time, on-site role based in Hyderabad, IN. In this role, you will design, implement, and maintain Kubernetes-based infrastructure to support production systems. This is a hands-on platform engineering role for someone who has built and operated production-grade Kubernetes environments across cloud, on-prem, or hybrid infrastructure. You’ll own the platform foundation for secure, reliable, and governed AI workloads — with a focus on automation, reliability, security, developer enablement, and enterprise-scale operations.

What you’ll do

You will lead the design, deployment, and lifecycle management of highly available Kubernetes platforms across hybrid environments, ensuring resilience, scalability, and operational consistency.

You’ll establish secure multi-tenant platform standards, build GitOps-driven operations, define deployment and observability patterns, and embed security controls across identity, secrets, policy enforcement, and workload protection.

You’ll also work closely with application, security, infrastructure, and platform teams to standardize deployment patterns, improve reliability, and support adoption of the enterprise AI platform.

Key responsibilities

• Design, deploy, and operate highly available Kubernetes platforms across cloud and on-prem environments
• Build automated, GitOps-driven platform operations for provisioning, upgrades, patching, scaling, and decommissioning
• Establish secure multi-tenant standards for governance, workload isolation, and resource efficiency
• Define platform standards for deployment, observability, service operations, and production readiness
• Implement Kubernetes security controls including RBAC, network policies, secrets management, policy enforcement, and cluster hardening
• Troubleshoot complex issues across Linux, networking, storage, runtime, and Kubernetes layers
• Improve platform reliability, incident response, operational readiness, and service objectives
• Drive continuous improvement in automation, performance, and cost efficiency

Must-have experience

• Proven experience building and operating production Kubernetes platforms at scale
• Strong hands-on Kubernetes administration, operations, and lifecycle management experience
• Deep understanding of Linux, cluster networking, storage architecture, and infrastructure troubleshooting
• Experience with Terraform, Helm, and infrastructure automation in production environments
• Hands-on GitOps experience with Argo CD, Flux, or similar tools
• Strong Kubernetes security experience, including RBAC, network policies, secrets/key management, admission control, policy enforcement, and production hardening
• Experience with at least one major cloud platform, preferably AWS or Azure
• Experience with EKS, AKS, GKE, OpenShift, Rancher, or similar enterprise Kubernetes platforms
• Familiarity with service mesh, OpenTelemetry, observability frameworks, and container security tooling
• Experience supporting enterprise AI platforms or AI/ML infrastructure
• Certifications such as CKA, CKAD, or CKS are preferred

Initial focus

In the first phase, you’ll help establish the Kubernetes platform foundation across cloud and on-prem environments, implement baseline GitOps, security, access, and operational controls, and define the operating model required to scale governed enterprise AI workloads.

This is a high-impact role for someone who wants to build the platform layer behind enterprise AI adoption — not just maintain clusters.

Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients

Type, Location

Full Time @ Anywhere in India

Desired Experience

2+ years

Job Description

What You’ll Do

● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.

● Take charge of DevOps activities for CI/CD with the latest tech stacks.

● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.

● Implementing the DevOps philosophy and strategy across different domains in organisation.

● Build automation at various levels, including code deployment to streamline release process

● Will be responsible for architecture of cloud services

● 24*7 monitoring of the infrastructure

● Use programming/scripting in your day-to-day work

● Have shell experience - for example Powershell on Windows, or BASH on *nix

● Use a Version Control System, preferably git

● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)

● Scalability, HA and troubleshooting of web-scale applications.

● Infrastructure-As-Code tools like Terraform, CloudFormation

● CI/CD systems such as Jenkins, CircleCI

● Container technologies such as Docker, Kubernetes, OpenShift

● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA

What you bring to the table

● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.

● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.

● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems

● Configuration management tools such as Ansible/Chef/Puppet

Bonus if you have…

● Basic understanding of Networking(routing, switching, dns) and Storage

● Basic understanding of Protocol such as UDP/TCP

● Basic understanding of Cloud computing

● Basic understanding of Cloud computing models like SaaS, PaaS

● Basic understanding of git or any other source code repo

● Basic understanding of Databases(sql/no sql)

● Great problem solving skills

● Good in communication

● Adaptive to learning

• Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
• Administer a hybrid datacenter, including AWS and EC2 cloud assets
• Administer, automate and troubleshoot container based solutions deployed on AWS ECS
• Be able to troubleshoot problems and provide feedback to engineering on issues
• Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
• Learn and administer technologies such as ELK, Hadoop etc.
• A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.

Need to have

• Hands-on Experience in Cloud based DevOps
• Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
• Experience with any programming language.
• Experience using Ansible, Docker, Jenkins, Kubernetes
• Experience in Python.
• Should be very comfortable working in Linux/Unix environment.
• Exposure to Shell Scripting.
• Solid troubleshooting skills

Experienced with Azure DevOps, CI/CD and Jenkins.

Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.

Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.

Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.

Demonstrable experience with the following technologies:

Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.

Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.

Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.

Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.

Ability and desire to quickly pick up new technologies, languages, and tools

Excellent communication skills and Good team player.

Passionate about code quality and best practices is an absolute must

Must show evidence of your passion for technology and continuous learning

• Works independently without any supervision
• Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
• Experience in deploying highly complex, distributed transaction processing systems.
• Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
• As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.

Required Experience, Skills, and Qualifications

• 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
• At least one End to End CI/CD Implementation experience
• Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
• Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
• Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
• Experience architecting interaction with services and application deployments on AWS
• Experience with Groovy and writing Jenkinsfile
• Experience with repository management, code scanning/linting, secure scanning tools
• Experience with deployments and application configuration on Kubernetes
• Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
• Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
• Experience with message buses (e.g. Apache Kafka, NATS)
• Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)