Sr.Devops Consultant

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

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.

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

Responsibilities

 Provisioning and de-provisioning AWS accounts for internal customers

 Work alongside systems and development teams to support the transition and operation of client websites/applications in and out of AWS.

 Deploying, managing, and operating AWS environments

 Identifying appropriate use of AWS operational best practices

 Estimating AWS costs and identifying operational cost control mechanisms

 Keep technical documentation up to date

 Proactively keep up to date on AWS services and developments

 Create (where appropriate) automation, in order to streamline provisioning and de-provisioning processes

 Lead certain data/service migration projects

Job Requirements

 Experience provisioning, operating, and maintaining systems running on AWS

 Experience with Azure/AWS.

 Capabilities to provide AWS operations and deployment guidance and best practices throughout the lifecycle of a project

 Experience with application/data migration to/from AWS

 Experience with NGINX and the HTTP protocol.

 Experience with configuration and management software such as GIT  Strong analytical and problem-solving skills

 Deployment experience using common AWS technologies like VPC, and regionally distributed EC2 instances, Docker, and more.

 Ability to work in a collaborative environment

 Detail-oriented, strong work ethic and high standard of excellence

 A fast learner, the Achiever, sets high personal goals

 Must be able to work on multiple projects and consistently meet project deadlines

DevOps Engineer

Job Description:

The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.

Skills:

• Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
• Strong hands-on over Ansible is preferred
• Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
• Should have core knowledge in Linux and System operations.
• Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
• Conduct and automate audits for network and systems infrastructure.
• Do software deployments, per documented processes, with no impact to customers.
• Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
• Troubleshoot connectivity problems across network, systems or applications.
• Follow security guidelines, both policy and technical to protect our customers.
• Ability to automate recurring tasks to increase velocity and quality.
• Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
• Should have knowledge and hands-on experience in managing ELK clusters.
• Scripting Knowledge in Shell/Python is added advantage.
• Hands-on Experience over K8s based Microservice Architecture is added advantage.

Must Have Skills

• AWS Solutions Architect and/or DevOps certification, Professional preferred
• BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
• Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
• Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
• DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
• DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
• Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
• Scripting in Shell (bash) and Extensive Python
• Agile software development
• Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
• Linux (RHEL) administration/engineering

Experience:

• Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
• Working as both an infrastructure and application migration specialist
• Identifying and documenting application requirements for network, F5, IAM, and security groups
• Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment 
• Work with Technology leadership to understand business goals and requirements
• Experience with continuous integration tools
• Experience with configuration management platforms
• Writing and diagnosing issues with complex shell scripts
• Strong practical application development experience on Linux and Windows-based systems