Kubernetes
Docker
Amazon Web Services (AWS)Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)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
DockerKubernetes Managing cloud-based serverless infrastructure on AWS, GCP(firebase) with IaC
(Terraform, CloudFormation etc.,)
Deploying and maintaining products, services, and network components with a focus
on security, reliability, and zero downtime
Automating and streamlining existing processes to aid the development team
Working with the development team to create ephemeral environments, simplifying
the development lifecycle
Driving forward our blockchain infrastructure by creating and managing validators for
a wide variety of new and existing blockchains
Requirements:
1-3+ years in a SRE / DevOps / DevSecOps or Infrastructure Engineering role
Strong working knowledge of Amazon Web Services (AWS) or GCP or similar cloud
ecosystem
Experience working with declarative Infrastructure-as-Code frameworks(Terraform,
CloudFormation)
Experience with containerization technologies and tools (Docker, Kubernetes), CI/CD
pipelines and Linux/Unix administration
Bonus points - if you know more about crypto, staking, defi, proof-of-stake,
validators, delegations
Benefits:
Competitive CTC on par with market along with ESOPs/Tokens
KubernetesDockerAmazon Web Services (AWS)• Support software build and release efforts:
• Create, set up, and maintain builds
• Review build results and resolve build problems
• Create and Maintain build servers
• Plan, manage, and control product releases
• Validate, archive, and escrow product releases
• Maintain and administer configuration management tools, including source control, defect management, project management, and other systems.
• Develop scripts and programs to automate process and integrate tools.
• Resolve help desk requests from worldwide product development staff.
• Participate in team and process improvement projects.
• Interact with product development teams to plan and implement tool and build improvements.
• Perform other duties as assigned.
While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business.
Required Skills
• TFS 2017 vNext Builds or AzureDevOps Builds Process
• Must to have PowerShell 3.0+ Scripting knowledge
• Exposure on Build Tools like MSbuild, NANT, XCode.
• Exposure on Creating and Maintaining vCenter/VMware vSphere 6.5
• Hands On experiences on above Win2k12 OS and basic info on MacOS
• Good to have Shell or Batch Script (optional)
Required Experience
Candidates for this position should hold the following qualifications to be considered as a suitable applicant. Please note that except where specified as “preferred,” or as a “plus,” all points listed below are considered minimum requirements.
• Bachelors Degree in a related discipline is strongly preferred
• 3 or more years experience with Software Configuration Management tools, concepts, and processes.
• Exposure to Source control systems such as TFS, GIT, or Subversion (Optional)
• Familiarity with object-oriented concepts and programming in C# and Power Shell Scripting.
• Experience working on AzureDevOps Builds or vNext Builds or Jenkins Builds
• Experience working with developers to resolve development issues related to source control systems.
- 3+ years of relevant experience
- 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
- Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
- Experience in setting CI/CD pipelines from scratch
- Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
- Understanding of common security issues
KubernetesDockerResponsibilities:
- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.
- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.
- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.
- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.
- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.
- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.
- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.
- Ensure high availability, performance, and security of cloud infrastructure and applications.
- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.
- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.
- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.
- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.
- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.
- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.
KubernetesDockerRole Description:
● Own, deploy, configure, and manage infrastructure environment and/or applications in
both private and public cloud through cross-technology administration (OS, databases,
virtual networks), scripting, and monitoring automation execution.
● Manage incidents with a focus on service restoration.
● Act as the primary point of contact for all compute, network, storage, security, or
automation incidents/requests.
● Manage rollout of patches and release management schedule and implementation.
Technical experience:
● Strong knowledge of scripting languages such as Bash, Python, and Golang.
● Expertise in using command line tools and shells
● Strong working knowledge of Linux/UNIX and related applications
● Knowledge in implementing DevOps and having an inclination towards automation.
● Sound knowledge in infrastructure-as-a-code approaches with Puppet, Chef, Ansible, or
Terraform, and Helm. (preference towards Terraform, Ansible, and Helm)
● Must have strong experience in technologies such as Docker, Kubernetes, OpenShift,
etc.
● Working with REST/gRPC/GraphQL APIs
● Knowledge in networking, firewalls, network automation
● Experience with Continuous Delivery pipelines - Jenkins/JenkinsX/ArgoCD/Tekton.
● Experience with Git, GitHub, and related tools
● Experience in at least one public cloud provider
Skills/Competencies
● Foundation: OS (Linux/Unix) & N/w concepts and troubleshooting
● Automation: Bash or Python or Golang
● CI/CD & Config Management: Jenkin, Ansible, ArgoCD, Helm, Chef/Puppet, Git/GitHub
● Infra as a Code: Terraform
● Platform: Docker, K8s, VMs
● Databases: MySQL, PostgreSql, DataStore (Mongo, Redis, AeroSpike) good to have
● Security: Vulnerability Management and Golden Image
● Cloud: Deep working knowledge on any public cloud (GCP preferable)
● Monitoring Tools: Prometheus, Grafana, NewRelic
DockerKubernetesAmazon Web Services (AWS)Experienced with Azure DevOps, CI/CD and Jenkins.
Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.
Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.
Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.
Demonstrable experience with the following technologies:
Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.
Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.
Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.
Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.
Ability and desire to quickly pick up new technologies, languages, and tools
Excellent communication skills and Good team player.
Passionate about code quality and best practices is an absolute must
Must show evidence of your passion for technology and continuous learning
GitHubAmazon Web Services (AWS)
Python
JavascriptJob Summary
You'd be meticulously analyzing project requirements and carry forward the development of highly robust, scalable and easily maintainable backend applications, work independently, and you'll have the support & opportunity to thrive in a fast-paced environment.
Responsibilities and Duties:
- building and setting up new development tools and infrastructure
- understanding the needs of stakeholders and conveying this to developers
- working on ways to automate and improve development and release processes
- testing and examining code written by others and analysing results
- ensuring that systems are safe and secure against cybersecurity threats
- identifying technical problems and developing software updates and ‘fixes’
- working with software developers and software engineers to ensure that development follows established processes and works as intended
- planning out projects and being involved in project management decisions
Skill Requirements:
- Managing GitHub (example: - creating branches for test, QA, development and production, creating Release tags, resolve merge conflict)
- Setting up of the servers based on the projects in either AWS or Azure (test, development, QA, staging and production)
- AWS S3 configuring and s3 web hosting, Archiving data from s3 to s3-glacier
- Deploying the build(application) to the servers using AWS CI/CD and Jenkins (Automated and manual)
- AWS Networking and Content delivery (VPC, Route 53 and CloudFront)
- Managing databases like RDS, Snowflake, Athena, Redis and Elasticsearch
- Managing IAM roles and policies for the functions like Lambda, SNS, aws cognito, secret manager, certificate manager, Guard Duty, Inspector EC2 and S3.
- AWS Analytics (Elasticsearch, Athena, Glue and kinesis).
- AWS containers (elastic container registry, elastic container service, elastic Kubernetes service, Docker Hub and Docker compose
- AWS Auto scaling group (launch configuration, launch template) and load balancer
- EBS (snapshots, volumes and AMI.)
- AWS CI/CD build spec scripting, Jenkins groovy scripting, shell scripting and python scripting.
- Sagemaker, Textract, forecast, LightSail
- Android and IOS automation building
- Monitoring tools like cloudwatch, cloudwatch log group, Alarm, metric dashboard, SNS(simple notification service), SES(simple email service)
- Amazon MQ
- Operating system Linux and windows
- X-Ray, Cloud9, Codestar
- Fluent Shell Scripting
- Soft Skills
- Scripting Skills , Good to have knowledge (Python, Javascript, Java,Node.js)
- Knowledge On Various DevOps Tools And Technologies
Qualifications and Skills
Job Type: Full-time
Experience: 4 - 7 yrs
Qualification: BE/ BTech/MCA.
Location: Bengaluru, Karnataka
DockerKubernetes- 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
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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon