Docker
Kubernetes
Amazon Web Services (AWS)We (the Software Engineer team) are looking for a motivated, experienced person with a data-driven approach to join our Distribution Team in Bangalore to help design, execute and improve our test sets and infrastructure for producing high-quality Hadoop software.
A Day in the life
You will be part of a team that makes sure our releases are predictable and deliver high value to the customer. This team is responsible for automating and maintaining our test harness, and making test results reliable and repeatable.
You will:
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work on making our distributed software stack more resilient to high-scale endurance runs and customer simulations
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provide valuable fixes to our product development teams to the issues you’ve found during exhaustive test runs
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work with product and field teams to make sure our customer simulations match the expectations and can provide valuable feedback to our customers
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work with amazing people - We are a fun & smart team, including many of the top luminaries in Hadoop and related open source communities. We frequently interact with the research community, collaborate with engineers at other top companies & host cutting edge researchers for tech talks.
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do innovative work - Cloudera pushes the frontier of big data & distributed computing, as our track record shows. We work on high-profile open source projects, interacting daily with engineers at other exciting companies, speaking at meet-ups, etc.
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be a part of a great culture - Transparent and open meritocracy. Everybody is always thinking of better ways to do things, and coming up with ideas that make a difference. We build our culture to be the best workplace in our careers.
You have:
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strong knowledge in at least 1 of the following languages: Java / Python / Scala / C++ / C#
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hands-on experience with at least 1 of the following configuration management tools: Ansible, Chef, Puppet, Salt
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confidence with Linux environments
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ability to identify critical weak spots in distributed software systems
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experience in developing automated test cases and test plans
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ability to deal with distributed systems
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solid interpersonal skills conducive to a distributed environment
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ability to work independently on multiple tasks
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self-driven & motivated, with a strong work ethic and a passion for problem solving
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innovate and automate and break the code
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role Overview
We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.
This is a high-ownership role with real impact on uptime, performance, and developer velocity.
Key Responsibilities
Infrastructure & Cloud Management
- Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
- Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
- Ensure high availability, fault tolerance, and scalability
CI/CD & Deployment
- Build and maintain CI/CD pipelines for backend and AI services
- Automate deployments, rollbacks, and environment management (dev, staging, prod)
- Improve release reliability and deployment speed
Monitoring, Reliability & Security
- Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
- Proactively identify and resolve performance bottlenecks and incidents
- Implement security best practices: IAM, secrets management, backups, and access controls
Cost Optimisation & Performance
- Monitor and optimise cloud costs (compute, databases, storage)
- Implement autoscaling, right-sizing, and resource optimisation
- Work with engineering teams to balance performance with cost efficiency
Required Qualifications & Skills
- 3–6 years of hands-on DevOps / Cloud Engineering experience
- Strong experience with GCP (or AWS with willingness to transition)
- Experience with Docker, Kubernetes, and containerised workloads
- Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
- Ability to troubleshoot production issues under pressure
- Experience with AI/ML workloads and GPU-based deployments
KubernetesAmazon Web Services (AWS)About MyOperator
MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.
Job Summary
We are looking for a skilled and motivated DevOps Engineer with 3+ years of hands-on experience in AWS cloud infrastructure, CI/CD automation, and Kubernetes-based deployments. The ideal candidate will have strong expertise in Infrastructure as Code, containerization, monitoring, and automation, and will play a key role in ensuring high availability, scalability, and security of production systems.
Key Responsibilities
- Design, deploy, manage, and maintain AWS cloud infrastructure, including EC2, RDS, OpenSearch, VPC, S3, ALB, API Gateway, Lambda, SNS, and SQS.
- Build, manage, and operate Kubernetes (EKS) clusters and containerized workloads.
- Containerize applications using Docker and manage deployments with Helm charts
- Develop and maintain CI/CD pipelines using Jenkins for automated build and deployment processes
- Provision and manage infrastructure using Terraform (Infrastructure as Code)
- Implement and manage monitoring, logging, and alerting solutions using Prometheus and Grafana
- Write and maintain Python scripts for automation, monitoring, and operational tasks
- Ensure high availability, scalability, performance, and cost optimization of cloud resources
- Implement and follow security best practices across AWS and Kubernetes environments
- Troubleshoot production issues, perform root cause analysis, and support incident resolution
- Collaborate closely with development and QA teams to streamline deployment and release processes
Required Skills & Qualifications
- 3+ years of hands-on experience as a DevOps Engineer or Cloud Engineer.
- Strong experience with AWS services, including:
- EC2, RDS, OpenSearch, VPC, S3
- Application Load Balancer (ALB), API Gateway, Lambda
- SNS and SQS.
- Hands-on experience with AWS EKS (Kubernetes)
- Strong knowledge of Docker and Helm charts
- Experience with Terraform for infrastructure provisioning and management
- Solid experience building and managing CI/CD pipelines using Jenkins
- Practical experience with Prometheus and Grafana for monitoring and alerting
- Proficiency in Python scripting for automation and operational tasks
- Good understanding of Linux systems, networking concepts, and cloud security
- Strong problem-solving and troubleshooting skills
Good to Have (Preferred Skills)
- Exposure to GitOps practices
- Experience managing multi-environment setups (Dev, QA, UAT, Production)
- Knowledge of cloud cost optimization techniques
- Understanding of Kubernetes security best practices
- Experience with log aggregation tools (e.g., ELK/OpenSearch stack)
Language Preference
- Fluency in English is mandatory.
- Fluency in Hindi is preferred.
LeadershipKubernetesMust have skills:
● Experience: 6+ years of hands-on experience in Cloud Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
● Multi-Cloud Infrastructure: Proficiency in architecting, deploying, and maintaining cloud infrastructure across GCP and Azure (VPC, IAM, Cloud Storage/Blob, Cloud Run/Functions, Pub/Sub, GKE/AKS, Cloud SQL).
● Container Orchestration: Extensive experience with Kubernetes (GKE or AKS) and Docker for managing and scaling containerized applications.
● Infrastructure as Code (IaC) & Automation: Strong proficiency using Terraform along with Python and Bash/Shell scripting for infrastructure automation.
● CI/CD Automation: Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or ArgoCD.
● Observability & Monitoring: Experience using tools such as Datadog, Prometheus, Grafana, or Splunk for monitoring, logging, and alerting.
● Secrets & Security Management: Experience managing sensitive credentials using HashiCorp Vault, GCP Secret Manager, or Azure Key Vault.
● Architecture & Networking: Understanding of microservices architecture, service-oriented architecture, event-driven systems (Pub/Sub), and cloud networking principles.
Good to have skills:
● AI/ML Infrastructure: Familiarity with infrastructure for ML workloads such as Vertex AI, Azure Machine Learning, GPU node pools, or Vector Databases.
● Advanced Kubernetes: Working knowledge of Kyverno for policy management, Karpenter for cluster autoscaling, or building Kubernetes operators using Go.
● Multi-Cloud Management: Familiarity with Crossplane for managing multi-cloud environments and building cloud-native platforms.
● Cloud Reliability & FinOps: Understanding of disaster recovery, fault tolerance, and cost allocation practices through resource tagging.
● Domain & Compliance: Experience working in regulated environments such as BFSI or Insurance.
Amazon Web Services (AWS)DockerKubernetes- At least 5 year of experience in Cloud technologies-AWS and Azure and developing.
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
DockerKubernetesAmazon Web Services (AWS)Key Responsibilities:
- Develop and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitOps practices.
- Kubernetes Management: Deploy, manage, and troubleshoot Kubernetes clusters to ensure high availability and scalability of applications.
- Cloud Infrastructure: Design, deploy, and manage cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, Lambda, and others.
- Infrastructure as Code: Implement and manage infrastructure using IaC tools like Terraform, CloudFormation, or similar.
- Monitoring and Logging: Set up and manage monitoring, logging, and alerting systems to ensure the health and performance of the infrastructure.
- Automation: Identify and automate repetitive tasks to improve efficiency and reliability.
- Security: Implement security best practices and ensure compliance with industry standards.
- Collaboration: Work closely with development, QA, and operations teams to ensure seamless integration and delivery of products.
Required Skills and Qualifications:
- Experience: 2-5 years of experience in a DevOps role.
- AWS: In-depth knowledge of AWS services and solutions.
- CI/CD Tools: Experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.
- GitOps Expertise: Proficient in GitOps methodologies and tools.
- Kubernetes: Strong hands-on experience with Kubernetes and container orchestration.
- Scripting and Automation: Proficient in scripting languages such as Bash, Python, or similar.
- Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or similar.
- Monitoring Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or similar.
- Version Control: Strong understanding of version control systems, primarily Git.
- Problem-Solving: Excellent problem-solving and debugging skills.
- Collaboration: Ability to work in a fast-paced, collaborative environment.
- Education: Bachelor’s or master’s degree in computer science or a related field.
PythonAmazon Web Services (AWS)Position- Cloud and Infrastructure Automation Consultant
Location- India(Pan India)-Work from Home
The position:
This exciting role in Ashnik’s consulting team brings great opportunity to design and deploy automation solutions for Ashnik’s enterprise customers spread across SEA and India. This role takes a lead in consulting the customers for automation of cloud and datacentre based resources. You will work hands-on with your team focusing on infrastructure solutions and to automate infrastructure deployments that are secure and compliant. You will provide implementation oversight of solutions to over the challenges of technology and business.
Responsibilities:
· To lead the consultative discussions to identify challenges for the customers and suggest right fit open source tools
· Independently determine the needs of the customer and create solution frameworks
· Design and develop moderately complex software solutions to meet needs
· Use a process-driven approach in designing and developing solutions.
· To create consulting work packages, detailed SOWs and assist sales team to position them to enterprise customers
· To be responsible for implementation of automation recipes (Ansible/CHEF) and scripts (Ruby, PowerShell, Python) as part of an automated installation/deployment process
Experience and skills required :
· 8 to 10 year of experience in IT infrastructure
· Proven technical skill in designing and delivering of enterprise level solution involving integration of complex technologies
· 6+ years of experience with RHEL/windows system automation
· 4+ years of experience using Python and/or Bash scripting to solve and automate common system tasks
· Strong understanding and knowledge of networking architecture
· Experience with Sentinel Policy as Code
· Strong understanding of AWS and Azure infrastructure
· Experience deploying and utilizing automation tools such as Terraform, CloudFormation, CI/CD pipelines, Jenkins, Github Actions
· Experience with Hashicorp Configuration Language (HCL) for module & policy development
· Knowledge of cloud tools including CloudFormation, CloudWatch, Control Tower, CloudTrail and IAM is desirable
This role requires high degree of self-initiative, working with diversified teams and working with customers spread across Southeast Asia and India region. This role requires you to be pro-active in communicating with customers and internal teams about industry trends, technology development and creating thought leadership.
About Us
Ashnik is a leading enterprise open-source solutions company in Southeast Asia and India, enabling organizations to adopt open source for their digital transformation goals. Founded in 2009, it offers a full-fledged Open-Source Marketplace, Solutions, and Services – Consulting, Managed, Technical, Training. Over 200 leading enterprises so far have leveraged Ashnik’s offerings in the space of Database platforms, DevOps & Microservices, Kubernetes, Cloud, and Analytics.
As a team culture, Ashnik is a family for its team members. Each member brings in a different perspective, new ideas and diverse background. Yet we all together strive for one goal – to deliver the best solutions to our customers using open-source software. We passionately believe in the power of collaboration. Through an open platform of idea exchange, we create a vibrant environment for growth and excellence.
Package : upto 20L
Experience: 8 yrs
Docker
JenkinsExp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
DockerAmazon Web Services (AWS)The AWS Cloud/Devops Engineer will be working with the engineering team and focusing on AWS infrastructure and automation. A key part of the role is championing and leading infrastructure as code. The Engineer will work closely with the Manager of Operations and Devops to build, manage and automate our AWS infrastructure.
Duties & Responsibilities:
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
Qualifications:
- At least 1-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Expertise using Chef for configuration management
- Hands-on experience deploying and managing infrastructure with Terraform
- Solid foundation of networking and Linux administration
- Experience with CI-CD, Docker, GitLab, Jenkins, ELK and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools
- Strong bias for action and ownership
KubernetesJenkinsDocker- Mandatory: Docker, AWS, Linux, Kubernete or ECS
- Prior experience provisioning and spinning up AWS Clusters / Kubernetes
- Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
- Experience supporting a managed cloud services infrastructure
- Ability to maintain, monitor and optimise production database servers
- Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
- Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
- Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
- In-depth knowledge on Linux Environment.
- Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
- Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
- Experience in handling large production deployments and infrastructure.
- DevOps based infrastructure and application deployments experience.
- Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
- Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
- He/she should be able to validate that the environment meets all security and compliance controls.
- Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
- Proven written and verbal communication skills.
- Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
- Previous NOC experience.
- Client Facing Experience with excellent Customer Communication and Documentation Skills
.NET
AngularJS (1.x)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon