Role – Devops
Experience 3 – 6 Years
Roles & Responsibilities –
- 3-6 years of experience in deploying and managing highly scalable fault resilient systems
- Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform
- Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure
- Strong experience with databases such as MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.
- Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.
- Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
- Proficient in technologies such as Docker, Kafka, Raft and Vagrant
- Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.
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Experience to enhance our cloud infrastructure and optimize application performance.
- Bachelor’s degree in Computer Science or related field.
- 5+ years of DevOps experience with strong scripting skills (shell, Python, Ruby).
- Familiarity with open-source technologies and application development methodologies.
- Experience in optimizing both stand-alone and distributed systems.
Key Responsiblities
- Design and maintain DevOps practices for seamless application deployment.
- Utilize AWS tools (EBS, S3, EC2) and automation technologies (Ansible, Terraform).
- Manage Docker containers and Kubernetes environments.
- Implement CI/CD pipelines with tools like Jenkins and GitLab.
- Use monitoring tools (Datadog, Prometheus) for system reliability.
- Collaborate effectively across teams and articulate technical choices.
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.
Job Title: DevOps SDE llI
Job Summary
Porter seeks an experienced cloud and DevOps engineer to join our infrastructure platform team. This team is responsible for the organization's cloud platform, CI/CD, and observability infrastructure. As part of this team, you will be responsible for providing a scalable, developer-friendly cloud environment by participating in the design, creation, and implementation of automated processes and architectures to achieve our vision of an ideal cloud platform.
Responsibilities and Duties
In this role, you will
- Own and operate our application stack and AWS infrastructure to orchestrate and manage our applications.
- Support our application teams using AWS by provisioning new infrastructure and contributing to the maintenance and enhancement of existing infrastructure.
- Build out and improve our observability infrastructure.
- Set up automated auditing processes and improve our applications' security posture.
- Participate in troubleshooting infrastructure issues and preparing root cause analysis reports.
- Develop and maintain our internal tooling and automation to manage the lifecycle of our applications, from provisioning to deployment, zero-downtime and canary updates, service discovery, container orchestration, and general operational health.
- Continuously improve our build pipelines, automated deployments, and automated testing.
- Propose, participate in, and document proof of concept projects to improve our infrastructure, security, and observability.
Qualifications and Skills
Hard requirements for this role:
- 5+ years of experience as a DevOps / Infrastructure engineer on AWS.
- Experience with git, CI / CD, and Docker. (We use GitHub, GitHub actions, Jenkins, ECS and Kubernetes).
- Experience in working with infrastructure as code (Terraform/CloudFormation).
- Linux and networking administration experience.
- Strong Linux Shell scripting experience.
- Experience with one programming language and cloud provider SDKs. (Python + boto3 is preferred)
- Experience with configuration management tools like Ansible and Packer.
- Experience with container orchestration tools. (Kubernetes/ECS).
- Database administration experience and the ability to write intermediate-level SQL queries. (We use Postgres)
- AWS SysOps administrator + Developer certification or equivalent knowledge
Good to have:
- Experience working with ELK stack.
- Experience supporting JVM applications.
- Experience working with APM tools is good to have. (We use datadog)
- Experience working in a XaaC environment. (Packer, Ansible/Chef, Terraform/Cloudformation, Helm/Kustomise, Open policy agent/Sentinel)
- Experience working with security tools. (AWS Security Hub/Inspector/GuardDuty)
- Experience with JIRA/Jira help desk.
Roles and Responsibilities:
• Gather and analyse cloud infrastructure requirements
• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby
preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and
discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,
CloudFormation), and automated imaging tools (Packer)
• Support existing infrastructure, analyse problem areas and come up with solutions
• An eye for monitoring – the candidate should be able to look at complex infrastructure and be
able to figure out what to monitor and how.
• Work along with the Engineering team to help out with Infrastructure / Network automation needs.
• Deploy infrastructure as code and automate as much as possible
• Manage a team of DevOps
Desired Profile:
• Understanding of provisioning of Bare Metal and Virtual Machines
• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.
• Experience in scripting languages like Ruby/ Python/ Shell Scripting
• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts
• Strong Linux/Unix administration skills.
• Self-starter who can implement with minimal guidance
• Hands-on experience setting up CICD from SCRATCH in Jenkins
• Experience with Managing K8s infrastructure
DevOps 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
MLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- 7+ years of experience in System Administration, Networking, Automation, Monitoring
- Excellent problem solving, analytical skills and technical troubleshooting skills
- Experience managing systems deployed in public cloud platforms (Microsoft Azure, AWS or Google Cloud)
- Experience implementing and maintaining CI/CD pipelines (Jenkins, Concourse, etc.)
- Linux experience, flavours: Ubuntu, Redhat, CentOS (sysadmin, bash scripting)
- Experience setting up monitoring (Datadog, Splunk, etc.)
- Experience in Infrastructure Automation tools like Terraform
- Experience in Package Manager for Kubernetes like Helm Charts
- Experience with databases and data storage (Oracle, MongoDB, Postgres SQL, ELK stack)
- Experience with Docker
- Experience with orchestration technologies (Kubernetes or DC/OS)
- Familiar with Agile Software Development
As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.
- Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Working on Docker images and maintaining Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Working on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
- Required Technical and Professional Expertise.
- Minimum 4-6 years of experience in IT industry.
- Expertise in implementing and managing Devops CI/CD pipeline.
- Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
- Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
- Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience with working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience and well versed with Jira tool is a plus.
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
Job Brief:
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 Location:
Pune.
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.
Minimum 4 years exp
Skillsets:
- Build automation/CI: Jenkins
- Secure repositories: Artifactory, Nexus
- Build technologies: Maven, Gradle
- Development Languages: Python, Java, C#, Node, Angular, React/Redux
- SCM systems: Git, Github, Bitbucket
- Code Quality: Fisheye, Crucible, SonarQube
- Configuration Management: Packer, Ansible, Puppet, Chef
- Deployment: uDeploy, XLDeploy
- Containerization: Kubernetes, Docker, PCF, OpenShift
- Automation frameworks: Selenium, TestNG, Robot
- Work Management: JAMA, Jira
- Strong problem solving skills, Good verbal and written communication skills
- Good knowledge of Linux environment: RedHat etc.
- Good in shell scripting
- Good to have Cloud Technology : AWS, GCP and Azure