Kubernetes Platform Engineer
at The industry’s only Manufacturing Operating System — built t
KubernetesCompany 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.
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Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.
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3+ years in a DevOps, SRE, or Infrastructure Engineering role.
Strong hands-on experience with Kubernetes and Helm charts.
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Production experience with AWS and/or Google Cloud.
- Proficiency in Python and Bash scripting for automation and tooling.
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- Providing on-call support within a high availability production environment
- Logging issues
- Providing Complex problem analysis and resolution for technical and application issues
- Supporting and collaborating with team members
- Running system updates
- Monitoring and responding to system alerts
- Developing and running system health checks
- Applying industry standard practices across the technology estate
- Performing system reviews
- Reviewing and maintaining infrastructure configuration
- Diagnosing performance issues and network bottlenecks
- Collaborating within geographically distributed teams
- Supporting software development infrastructure by continuous integration and delivery standards
- Working closely with developers and QA teams as part of a customer support centre
- Projecting delivery work, either individually or in conjunction with other teams, external suppliers or contractors
- Ensuring maintenance of the technical environments to meet current standards
- Ensuring compliance with appropriate industry and security regulations
- Providing support to Development and Customer Support teams
- Managing the hosted infrastructure through vendor engagement
- Managing 3rd party software licensing ensuring compliance
- Delivering new technologies as agreed by the business
What you need to have:
- Experience working within a technical operations environment relevant to associated skills stated.
- Be proficient in:
- Linux, zsh/ bash/ similar
- ssh, tmux/ screen/ similar
- vim/ emacs/ similar
- Computer networking
- Have a reasonable working knowledge of:
- Cloud infrastructure, Preferably GCP
- One or more programming/ scripting languages
- Git
- Docker
- Web services and web servers
- Databases, relational and NoSQL
- Some familiarity with:
- Puppet, ansible
- Terraform
- GitHub, CircleCI , Kubernetes
- Scripting language- Shell
- Databases: Cassandra, Postgres, MySQL or CloudSQL
- Agile working practices including scrum and Kanban
- Private & public cloud hosting environments
- Strong technology interests with a positive ‘can do’ attitude
- Be flexible and adaptable to changing priorities
- Be good at planning and organising their own time and able to meet targets and deadlines without supervision
- Excellent written and verbal communication skills.
- Approachable with both colleagues and team members
- Be resourceful and practical with an ability to respond positively and quickly to technical and business challenges
- Be persuasive, articulate and influential, but down to earth and friendly with own team and colleagues
- Have an ability to establish relationships quickly and to work effectively either as part of a team or singularly
- Be customer focused with both internal and external customers
- Be capable of remaining calm under pressure
- Technically minded with good problem resolution skills and systematic manner
- Excellent documentation skills
- Prepared to participate in out of hours support rota
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The fundamental principle of Karkinos healthcare is democratization of cancer care in a participatory fashion with existing health providers, researchers and technologists. Our vision is to provide millions of cancer patients with affordable and effective treatments and have India become a leader in oncology research. Karkinos will be with the patient every step of the way, to advise them, connect them to the best specialists, and to coordinate their care.
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- Demonstrate technical leadership with incident handling and troubleshooting.
- Provide software delivery operations and application release management support, including scripting, automated build and deployment processing and process reengineering.
- Build automated deployments for consistent software releases with zero downtime
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- Participate in the development of contingency plans including reliable backup and restore procedures.
- Participate in the development of the end to end CI / CD process and follow through with other team members to ensure high quality and predictable delivery
- Participate in development of CI / CD processes
- Work on implementing DevSecOps and GitOps practices
- Work with the Engineering team to integrate more complex testing into a containerized pipeline to ensure minimal regressions
- Build platform tools that rest of the engineering teams can use.
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- 2+ years of software development/technical support experience.
- 1+ years of software development, operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- 2+ years of experience in public cloud services: AWS (VPC, EC2, ECS, Lambda, Redshift, S3, API Gateway) or GCP (Kubernetes Engine, Cloud SQL, Cloud Storage, BIG Query, API Gateway, Container Registry) - preferably in GCP.
- Experience managing infra for distributed NoSQL system (Kafka/MongoDB), Containers, Micro services, deployment and service orchestration using Kubernetes.
- Experience and a god understanding of Kubernetes, Service Mesh (Istio preferred), API Gateways, Network proxies, etc.
- Experience in setting up infra for central monitoring of infrastructure, ability to debug, trace
- Experience and deep understanding of Cloud Networking and Security
- Experience in Continuous Integration and Delivery (Jenkins / Maven Github/Gitlab).
- Strong scripting language knowledge, such as Python, Shell.
- Experience in Agile development methodologies and release management techniques.
- Excellent analytical and troubleshooting.
- Ability to continuously learn and make decisions with minimal supervision. You understand that making mistakes means that you are learning.
Interested Applicants can share their resume at sajal.somani[AT]karkinos[DOT]in with subject as "DevOps Engineer".
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon