Jenkins
Docker
KubernetesPosition: DevOps Engineer
Job Description
The candidate should have the following Skills:
- Hands-on experience with DevOps & CICD open source tools (Jenkins, ), including AWS DevOps services (CodePipeline, CloudFormation, etc).
- Experience in building and deploying using Java/Python/Node.js on Cloud infrastructure (Docker or Kubernetes containers or Lambda.)
- Exposure to Cloud operations, releases, and configuration management
- Experience in implementing Non-functional requirements for microservices, including performance, security, compliance, HA and Disaster Recovery.
- Good soft skills, great attitude, and passion for working in a product startup environment
Total Experience of 2-5 years post BE or BTech or MCA in Computer Science Engineering.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Response Informatics
About
Response Informatics is a globally established end to end technology and enterprise level management consulting company.
Incorporated in 1996, we have been sailing the ship with a single goal, the global adaption of the best technological and result driven practices for business growth.
With a humble start with management consulting and global staffing solutions, we have moved up the ladder sharply and significantly. Soon enough, we were delivering in various verticals and services ranging from enterprise level software and application development.
From mere technological consultation to high end, in-depth centers of excellence for cutting edge technologies such as Block chain, Artificial intelligence, Data analytics, Robotic Process Automation, Internet of Things.
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DockerKubernetes
Amazon Web Services (AWS)We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
DockerJob Title: Senior Devops Engineer (Full-time)
Location: Mumbai, Onsite
Experience Required: 5+ Years
Required Qualifications
● Experience:
○ 5+ years of hands-on experience as a DevOps Engineer or similar role, with
proven expertise in building and customizing Helm charts from scratch (not just
using pre-existing ones).
○ Demonstrated ability to design and whiteboard DevOps pipelines, including
CI/CD workflows for microservices applications.
○ Experience packaging and deploying applications with stateful dependencies
(e.g., databases, persistent storage) in varied environments: on-prem (air-gapped
and non-air-gapped), single-tenant cloud, multi-tenant cloud, and developer trials.
○ Proficiency in managing deployments in Kubernetes clusters, including offline
installations, upgrades via Helm, and adaptations for client restrictions (e.g., no
additional tools or VMs).
○ Track record of handling client interactions, such as asking probing questions
about infrastructure (e.g., OS versions, storage solutions, network restrictions)
and explaining technical concepts clearly.
● Technical Skills:
○ Strong knowledge of Helm syntax and functionalities (e.g., Go templating, hooks,
subcharts, dependency management).
○ Expertise in containerization with Docker, including image management
(save/load, registries like Harbor or ECR).
○ Familiarity with CI/CD tools such as Jenkins, ArgoCD, GitHub Actions, and
GitOps for automated and manual deployments.
○ Understanding of storage solutions for on-prem and cloud, including object/file
storage (e.g., MinIO, Ceph, NFS, cloud-native like S3/EBS).
○ In-depth knowledge of Kubernetes concepts: StatefulSets, PersistentVolumes,
namespaces, HPA, liveness/readiness probes, network policies, and RBAC.
○ Solid grasp of cloud networking: VPCs (definition, boundaries, virtualization via
SDN, differences from private clouds), bare metal vs. virtual machines
(advantages like resource efficiency, flexibility, and scalability).
○ Ability to work in air-gapped environments, preparing offline artifacts and
ensuring self-contained deployment
Java
PythonAmazon Web Services (AWS)● Good understanding of how the web works
● Experience with at least one language like Java, Python etc
● Good with Shell scripting
● Experience with *Nix based operating systems
● Experience with k8s, containers
● Fairly good understanding of AWS/GCP/Azure
● Troubleshoot and fix outages and performance issues in infrastructure stack
● Identify gap and design automation tools for all feasible functions in infrastructure
● Good verbal and written communication skills
● Drive SLA/SLO of team
Benefits
This is an opportunity to work on a fairly complex set of systems and improve
them. You will get a chance to learn things like “how to think about code
simplicity”, “how to write for maintainability” and several other things.
● Comprehensive health insurance policy.
● Flexible working hours and a very friendly work environment.
● Flexibility to work either in the office (post Covid) or remotely.
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)• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
Jenkins
GitHubDevOps Architect
Experience: 10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.
Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired
Technical Skillset: Skills Proficiency level
- Build tools (Ant or Maven) - Expert
- CI/CD tool (Jenkins or Github CI/CD) - Expert
- Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
- Infrastructure As Code (Terraform, Helm charts etc.) - Expert
- Containerization (Docker, Docker Registry) - Expert
- Scripting (linux) - Expert
- Cluster deployment (Kubernetes) & maintenance - Expert
- Programming (Java) - Intermediate
- Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
- Artifactory (JFrog) - Expert
- Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
- Ansible, MySQL, PostgreSQL - Intermediate
• Source Control (like Git, Bitbucket, Svn, VSTS etc)
• Continuous Integration (like Jenkins, Bamboo, VSTS )
• Infrastructure Automation (like Puppet, Chef, Ansible)
• Deployment Automation & Orchestration (like Jenkins, VSTS, Octopus Deploy)
• Container Concepts (Docker)
• Orchestration (Kubernetes, Mesos, Swarm)
• Cloud (like AWS, Azure, GoogleCloud, Openstack)
Roles and Responsibilities
• DevOps architect should automate the process with proper tools.
• Developing appropriate DevOps channels throughout the organization.
• Evaluating, implementing and streamlining DevOps practices.
• Establishing a continuous build environment to accelerate software deployment and development processes.
• Engineering general and effective processes.
• Helping operation and developers teams to solve their problems.
• Supervising, Examining and Handling technical operations.
• Providing a DevOps Process and Operations.
• Capacity to handle teams with leadership attitude.
• Must possess excellent automation skills and the ability to drive initiatives to automate processes.
• Building strong cross-functional leadership skills and working together with the operations and engineering teams to make sure that systems are scalable and secure.
• Excellent knowledge of software development and software testing methodologies along with configuration management practices in Unix and Linux-based environment.
• Possess sound knowledge of cloud-based environments.
• Experience in handling automated deployment CI/CD tools.
• Must possess excellent knowledge of infrastructure automation tools (Ansible, Chef, and Puppet).
• Hand on experience in working with Amazon Web Services (AWS).
• Must have strong expertise in operating Linux/Unix environments and scripting languages like Python, Perl, and Shell.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.
• Previous experience in implementing continuous delivery and DevOps solutions.
• Experience in designing and building solutions to move data and process it.
• Must possess expertise in any of the coding languages depending on the nature of the job.
• Experience with containers and container orchestration tools (AKS, EKS, OpenShift, Kubernetes, etc)
• Experience with version control systems a must (GIT an advantage)
• Belief in "Infrastructure as a Code"(IaaC), including experience with open-source tools such as terraform
• Treats best practices for security as a requirement, not an afterthought
• Extensive experience with version control systems like GitLab and their use in release management, branching, merging, and integration strategies
• Experience working with Agile software development methodologies
• Proven ability to work on cross-functional Agile teams
• Mentor other engineers in best practices to improve their skills
• Creating suitable DevOps channels across the organization.
• Designing efficient practices.
• Delivering comprehensive best practices.
• Managing and reviewing technical operations.
• Ability to work independently and as part of a team.
• Exceptional communication skills, be knowledgeable about the latest industry trends, and highly innovative
DockerKubernetesRequirements
You will make an ideal candidate if you have:
-
Experience of building a range of Services in a Cloud Service provider
-
Expert understanding of DevOps principles and Infrastructure as a Code concepts and techniques
-
Strong understanding of CI/CD tools (Jenkins, Ansible, GitHub)
-
Managed an infrastructure that involved 50+ hosts/network
-
3+ years of Kubernetes experience & 5+ years of experience in Native services such as Compute (virtual machines), Containers (AKS), Databases, DevOps, Identity, Storage & Security
-
Experience in engineering solutions on cloud foundation platform using Infrastructure As Code methods (eg. Terraform)
-
Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
-
Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams
-
Good leadership and teamwork skills - Works collaboratively in an agile environment
-
Operational effectiveness - delivers solutions that align to approved design patterns and security standards
-
Excellent skills in at least one of following: Python, Ruby, Java, JavaScript, Go, Node.JS
-
Experienced in full automation and configuration management
-
A track record of constantly looking for ways to do things better and an excellent understanding of the mechanism necessary to successfully implement change
-
Set and achieved challenging short, medium and long term goals which exceeded the standards in their field
-
Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
-
Built effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same
-
A successful track record of delivering complex projects and/or programmes, utilizing appropriate techniques and tools to ensure and measure success
-
A comprehensive understanding of risk management and proven experience of ensuring own/others' compliance with relevant regulatory processes
Essential Skills :
-
Demonstrable Cloud service provider experience - infrastructure build and configurations of a variety of services including compute, devops, databases, storage & security
-
Demonstrable experience of Linux administration and scripting preferably Red Hat
-
Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools
-
Experience working within an Agile environment
-
Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Node.JS
-
Server administration (either Linux or Windows)
-
Automation scripting (using scripting languages such as Terraform, Ansible etc.)
-
Ability to quickly acquire new skills and tools
Required Skills :
-
Linux & Windows Server Certification
PythonContract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)
DockerAmazon Web Services (AWS)
MongoDB● Responsible for design, development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Participating in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should be able to work on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in
● an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
● Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
● CEO moonshots projects with cash awards every quarter
● Upskilling and learning support including via paid conferences, online courses, and certifications
● Every month Rupees 2,500 will be credited to Sudexo meal card
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