DevOps - Kubernetes Engineer for Desktop and Cloud
Kubernetes
JenkinsMain tasks
- Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
- Responsibility of the operations part of a DevOps organization especially for development at LS telcom in the environment of container technology and orchestration, e.g. with Kubernetes
- Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud as LS service
- Implementation of installations of the LS system solution especially in the container context
- Introduction, maintenance and improvement of installation solutions for LS development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
- Maintenance of the system installation documentation and implementation of trainings
Execution of internal software tests and support of involved teams and stakeholders
- Hands on Experience with Azure DevOps.
Qualification profile
- Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
- Experience in software
- Installation and administration of Linux and Windows systems including network and firewalling aspects
- Experience with build and deployment automation with tools like Jenkins, Gradle, Argo or similar as well as system scripting (Bash, Power-Shell, etc.)
- Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
- Server environments, especially application, web-and database servers
- Knowledge in VMware/K3D/Rancer is an advantage
- Good spoken and written knowledge of English
Shubham Vishwakarma
Full Stack Developer - Averlon
About LS Spectrum Solutions Private Limited
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Strong Lead DevOps / Infrastructure Engineer Profiles.
Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.
Mandatory (Education) –B.E/ B.Tech
PythonKubernetes
Docker
Amazon Web Services (AWS)DevOps Engineer
Location: Bangalore office
About Peliqan
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.
The Role
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.
Responsibilities
Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.
Maintain Docker-based local development environments for the engineering team.
Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).
Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.
Set up and manage monitoring, alerting, and logging for platform health and incident response.
Manage release processes — deployments, rollbacks, and release strategies.
- Maintain infrastructure-as-code using Helm charts.
- Support security hardening and compliance efforts (SOC 2, GDPR).
Requirements
3+ years in a DevOps, SRE, or Infrastructure Engineering role.
Strong hands-on experience with Kubernetes and Helm charts.
Deep familiarity with Docker for containerisation and local dev workflows.
Production experience with AWS and/or Google Cloud.
- Proficiency in Python and Bash scripting for automation and tooling.
- Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
- Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).
Nice to Have
- Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
- Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
- Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).
DockerKubernetesAmazon Web Services (AWS)- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform etc
KubernetesDockerAzure DeVops
On premises to Azure Migration
Docker, Kubernetes
Terraform CI CD pipeline
9+ Location
Budget – BG, Hyderabad, Remote , Hybrid –
Budget – up to 30 LPA
Role Purpose:
As a DevOps , You should be strong in both the Dev and Ops part of DevOps. We are looking for someone who has a deep understanding of systems architecture, understands core CS concepts well, and is able to reason about system behaviour rather than merely working with the toolset of the day. We believe that only such a person will be able to set a compelling direction for the team and excite those around them.
If you are someone who fits the description above, you will find that the rewards are well worth the high bar. Being one of the early hires of the Bangalore office, you will have a significant impact on the culture and the team; you will work with a set of energetic and hungry peers who will challenge you, and you will have considerable international exposure and opportunity for impact across departments.
Responsibilities
- Deployment, management, and administration of web services in a public cloud environment
- Design and develop solutions for deploying highly secure, highly available, performant and scalable services in elastically provisioned environments
- Design and develop continuous integration and continuous deployment solutions from development through production
- Own all operational aspects of running web services including automation, monitoring and alerting, reliability and performance
- Have direct impact on running a business by thinking about innovative solutions to operational problems
- Drive solutions and communication for production impacting incidents
- Running technical projects and being responsible for project-level deliveries
- Partner well with engineering and business teams across continents
Required Qualifications
- Bachelor’s or advanced degree in Computer Science or closely related field
- 4 - 6 years professional experience in DevOps, with at least 1/2 years in Linux / Unix
- Very strong in core CS concepts around operating systems, networks, and systems architecture including web services
- Strong scripting experience in Python and Bash
- Deep experience administering, running and deploying AWS based services
- Solid experience with Terraform, Packer and Docker or their equivalents
- Knowledge of security protocols and certificate infrastructure.
- Strong debugging, troubleshooting, and problem solving skills
- Broad experience with cloud hosted applications including virtualization platforms, relational and non relational data stores, reverse proxies, and orchestration platforms
- Curiosity, continuous learning and drive to continually raise the bar
- Strong partnering and communication skills
Preferred Qualifications
- Past experience as a senior developer or application architect strongly preferred.
- Experience building continuous integration and continuous deployment pipelines
- Experience with Zookeeper, Consul, HAProxy, ELK-Stack, Kafka, PostgreSQL.
- Experience working with, and preferably designing, a system compliant to any security framework (PCI DSS, ISO 27000, HIPPA, SOC 2, ...)
- Experience with AWS orchestration services such as ECS and EKS.
- Experience working with AWS ML pipeline services like AWS Sagemak
DockerKubernetesAmazon Web Services (AWS)Understanding of any scripting programming language.
Configuration and managing databases such as MySQL
Working knowledge of various tools, open-source technologies, and cloud services (AWS)
Implementing automation tools(Ansible, Jenkins) for deployment and provisioning IT infrastructure
Excellent troubleshooting of cloud systems.
Awareness of critical concepts in DevOps principles.
Amazon Web Services (AWS)Technical Experience/Knowledge Needed :
- Cloud-hosted services environment.
- Proven ability to work in a Cloud-based environment.
- Ability to manage and maintain Cloud Infrastructure on AWS
- Must have strong experience in technologies such as Dockers, Kubernetes, Functions, etc.
- Knowledge in orchestration tools Ansible
- Experience with ELK Stack
- Strong knowledge in Micro Services, Container-based architecture and the corresponding deployment tools and techniques.
- Hands-on knowledge of implementing multi-staged CI / CD with tools like Jenkins and Git.
- Sound knowledge on tools like Kibana, Kafka, Grafana, Instana and so on.
- Proficient in bash Scripting Languages.
- Must have in-depth knowledge of Clustering, Load Balancing, High Availability and Disaster Recovery, Auto Scaling, etc.
-
AWS Certified Solutions Architect or/and Linux System Administrator
- Strong ability to work independently on complex issues
- Collaborate efficiently with internal experts to resolve customer issues quickly
- No objection to working night shifts as the production support team works on 24*7 basis. Hence, rotational shifts will be assigned to the candidates weekly to get equal opportunity to work in a day and night shifts. But if you get candidates willing to work the night shift on a need basis, discuss with us.
- Early Joining
- Willingness to work in Delhi NCR
Jenkins
Java- Proficient in Java, Node or Python
- Experience with NewRelic, Splunk, SignalFx, DataDog etc.
- Monitoring and alerting experience
- Full stack development experience
- Hands-on with building and deploying micro services in Cloud (AWS/Azure)
- Experience with terraform w.r.t Infrastructure As Code
- Should have experience troubleshooting live production systems using monitoring/log analytics tools
- Should have experience leading a team (2 or more engineers)
- Experienced using Jenkins or similar deployment pipeline tools
- Understanding of distributed architectures
Python
Machine Learning (ML)KubernetesPythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
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Full Stack Developer - Averlon