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Head Kubernetes

Docker, Kubernetes Engineer – Remote (Pan India) 

ABOUT US

Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

THE POSITION

Ashnik is looking for talented and passionate Technical consultant to be part of the training team and work with customers on DevOps Solution. You will be responsible for implementation and consultations related work for customers across SEA and India. We are looking for personnel with personal qualities like -

• Passion for working for different customers and different environments.
• Excellent communication and articulation skills
• Aptitude for learning new technology and willingness to understand technologies which he/she is not directly working on.
• Willingness to travel within and outside the country.
• Ability to independently work at the customer site and navigate through different teams.

SKILLS AND EXPERIENCE

ESSENTIAL SKILLS

• 3+ years of experience with B.E/ B.Tech, MCA, Graduation Degree with higher education in the technical field.
• Must have prior experience with docker containers, swarm and/or Kubernetes.
• Understanding of Operating System, processes, networking, and containers.
• Experience/exposure in writing and managing Dockerfile or creating container images.
• Experience of working on Linux platform.
• Ability to perform installations and system/software configuration on Linux.
• Should be aware of networking and SSL/TLS basics.
• Should be aware of tools used in complex enterprise IT infra e.g. LDAP, AD, Centralized Logging solution etc.

A preferred candidate will have

• Prior experience with open source Kubernetes or another container management platform like OpenShift, EKS, ECS etc.
• CNCF Kubernetes Certified Administrator/Developer
• Experience in container monitoring using Prometheus, Datadog etc.
• Experience with CI/CD tools and their usage
• Knowledge of scripting language e.g., shell scripting

RESPONSIBILITIES

First 2 months:

• Get an in-depth understanding of containers, Docker Engine and runtime, Swarm and Kubernetes.
• Get hands-on experience with various features of Mirantis Kubernetes Engine, and Mirantis Secure Registry

After 2 months:

• Work with Ashnik’s pre-sales and solution architects to deploy Mirantis Kubernetes Engine for customers
• Work with customer teams and provide them guidance on how Kubernetes Platform can be integrated with other tools in their environment (CI/CD, identity management, storage etc)
• Work with customers to containerize their applications.
• Write Dockerfile for customers during the implementation phase.
• Help customers design their network and security policy for effective management of applications deployed using Swarm and/or Kubernetes.
• Help customer design their deployments either with Swarm services or Kubernetes Deployments.
• Work with pre-sales and sales team to help customers during their evaluation of Mirantis Kubernetes platform
• Conduct workshops for customers as needed for technical hand-holding and technical handover.

Package: upto30 L

Office: Mumbai

Job Title : DevOps Engineer – Fintech (Product-Based)

Experience : 5+ Years

Location : Mumbai

Job Type : Full-Time | Product Company

Role Summary :

We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.

The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.

Mandatory Skills :

Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.

Key Responsibilities :

• Deploy and manage stateful microservices in production.
• Handle both managed & self-managed Kubernetes clusters.
• Develop and maintain custom Helm Charts.
• Implement GitOps pipelines using ArgoCD/FluxCD.
• Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
• Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
• Design multi-tenant cluster deployments.
• Manage HA, load balancers, certificates, DNS, and networking.

Mandatory Skills :

• Product-based company experience.
• Strong Kubernetes (EKS/AKS/GKE + self-managed).
• Custom Helm Chart development.
• GitOps tools : ArgoCD/FluxCD.
• AWS/Azure cloud networking & security.
• IaC module development (Terraform/Pulumi/CloudFormation).
• Experience with stateful components (DBs, queues, caches).
• Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.

Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting

We are looking for a highly skilled DevOps/Cloud Engineer with over 6 years of experience in infrastructure automation, cloud platforms, networking, and security. If you are passionate about designing scalable systems and love solving complex cloud and DevOps challenges—this opportunity is for you.

Key Responsibilities

• Design, deploy, and manage cloud-native infrastructure using Kubernetes (K8s), Helm, Terraform, and Ansible
• Automate provisioning and orchestration workflows for cloud and hybrid environments
• Manage and optimize deployments on AWS, Azure, and GCP for high availability and cost efficiency
• Troubleshoot and implement advanced network architectures including VPNs, firewalls, load balancers, and routing protocols
• Implement and enforce security best practices: IAM, encryption, compliance, and vulnerability management
• Collaborate with development and operations teams to improve CI/CD workflows and system observability

Required Skills & Qualifications

• 6+ years of experience in DevOps, Infrastructure as Code (IaC), and cloud-native systems
• Expertise in Helm, Terraform, and Kubernetes
• Strong hands-on experience with AWS and Azure
• Solid understanding of networking, firewall configurations, and security protocols
• Experience with CI/CD tools like Jenkins, GitHub Actions, or similar
• Strong problem-solving skills and a performance-first mindset

Why Join Us?

• Work on cutting-edge cloud infrastructure across diverse industries
• Be part of a collaborative, forward-thinking team
• Flexible hybrid work model – work from anywhere while staying connected
• Opportunity to take ownership and lead critical DevOps initiatives

About Company:

• Role Overview

• Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.

• Key Knowledge

• 3-5+ years of experience in AWS/GCP or Azure technologies
• Is likely certified on one or more of the major cloud platforms
• Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
• Ability to guide and lead internal agile teams on cloud technology
• Background from the financial services industry or similar critical operational experience

1. Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
2. Work collaboratively with software engineering to define infrastructure and deployment requirements
3. Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
4. Ensure configuration and compliance with configuration management tools
5. Administer and troubleshoot Linux based systems
6. Troubleshoot problems across a wide array of services and functional areas
7. Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
8. Perform infrastructure cost analysis and optimization

Role : Principal Devops Engineer

About the Client

It is a Product base company that has to build a platform using AI and ML technology for their transportation and logiticsThey also have a presence in the global market

Responsibilities and Requirements

• Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure

• Knowledge in Linux/Unix Administration and Python/Shell Scripting

• Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure

• Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios

• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms

• Experience in enterprise application development, maintenance and operations

• Knowledge of best practices and IT operations in an always-up, always-available service

• Excellent written and oral communication skills, judgment and decision-making skill

Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=

LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.

Responsibilities:

• Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud
• Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems
• Automate the deployment and configuration of the virtualized infrastructure and the entire software stack
• Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO
• Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud
• Define and build processes to identify performance bottlenecks and scaling pitfalls
• Manage robust monitoring and alerting infrastructure 
• Explore new tools to improve development operations to automate daily tasks
• Ensure High Availability and Auto-failover with minimum or no manual interventions

Requirements:

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 11 to 14 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Strong background in Linux/Unix Administration and Python/Shell Scripting
• Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
• Experience in query analysis, peformance tuning, database redesigning, 
• Experience in enterprise application development, maintenance and operations
• Knowledge of best practices and IT operations in an always-up, always-available service
• Excellent written and oral communication skills, judgment and decision-making skills.
• Excellent leadership skill.

Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.

Qualifications BE/ B.Tech/ MCA in computer science

Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon

• 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
• At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
• At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
• Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
• Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
• Strong know-how on VA/PT integration in CI/CD pipeline.
• Experience in handling financial solutions & customer-facing applications

Roles

• Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
• Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
• Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
• Maximize automation and enhance DevSecOps pipelines and other tasks
• Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
• Operate and support a suite of enterprise DevSecOps services
• Implement security automation to decrease the loop between the development and deployment processes.
• Support project teams to adopt & integrate the DevSecOps environment
• Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
• Coordinate with development and operations teams for practical automation solutions and custom flows.
• Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
• Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
• Build workflows to ensure a successful DevSecOps journey for various enterprise applications. 
• Understand the strategic direction to reach business goals across multiple projects & teams
• Collaborate with development teams to understand project deliverables and promote DevSecOps culture
• Formulate & deploy cloud automation strategies and tools

Skills

• Knowledge of the DevSecOps culture and principles.
• An understanding of cloud technologies & components
• A flair for programming languages such as Shell, Python, Java Scripts,
• Strong teamwork and communication skills.
• Knowledge of threat modeling and risk assessment techniques.
• Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
• An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
• Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
• On the job learning for new programming languages, automation tools, deployment architectures

• AWS Cloud, CICD, Serverless setups, Monitoring Setup
• Performance setup, scalability in hands experience, Linux expertise, DevOps Operations

• AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.