Sr. DevOps Software Engineer:

Bachelor's degree in Computer Science or a related field, or equivalent work experience

Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform

Experience with infrastructure as code tools such as Terraform or CloudFormation

Proficiency in scripting languages such as Python, Bash, or PowerShell

Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible

Strong problem-solving and analytical skills

Excellent communication and collaboration skills

Ability to work independently and as part of a team

Willingness to learn new technologies and tools as required

• 2+ years work experience in a DevOps or similar role
• Knowledge of OO programming and concepts (Java, C++, C#, Python)
• A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
• Fluency in one or more scripting languages such as Python or Ruby.
• Familiarity with Microservice-based architectures
• Practical experience with Docker containerization and clustering (Kubernetes/ECS)
• In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
• Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
• Experience with AWS, Azure, or another cloud PaaS provider.
• Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
• Proficiency with source control, continuous integration, and testing pipelines
  
• Effective communication skills

• Deploy and maintain critical applications on cloud-native microservices architecture.
• Implement automation, effective monitoring, and infrastructure-as-code.
• Deploy and maintain CI/CD pipelines across multiple environments.
• Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
• Analyze how customers are using the platform and help drive continuous improvement.
• Support and work alongside a cross-functional engineering team on the latest technologies.
• Iterate on best practices to increase the quality & velocity of deployments.
• Sustain and improve the process of knowledge sharing throughout the engineering team
• Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
• Own daily operational goals with the team.

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.

You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code

• Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
• Developing reusable Infrastructure code and testing frameworks
• Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
• Design a scalable Centralized Logging and Metrics platform
• Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.

• Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
• Experience in developing applications using programming languages like Java, Python and Go
• Experience in handling logs and metrics at a high scale.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• 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