
- Works independently without any supervision
- Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
- Experience in deploying highly complex, distributed transaction processing systems.
- Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
- As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.
Required Experience, Skills, and Qualifications
- 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
- At least one End to End CI/CD Implementation experience
- Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
- Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
- Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
- Experience architecting interaction with services and application deployments on AWS
- Experience with Groovy and writing Jenkinsfile
- Experience with repository management, code scanning/linting, secure scanning tools
- Experience with deployments and application configuration on Kubernetes
- Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
- Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
- Experience with message buses (e.g. Apache Kafka, NATS)
- Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)

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What we look for:
As a DevOps Developer, you will contribute to a thriving and growing AIGovernance Engineering team. You will work in a Kubernetes-based microservices environment to support our bleeding-edge cloud services. This will include custom solutions, as well as open source DevOps tools (build and deploy automation, monitoring and data gathering for our software delivery pipeline). You will also be contributing to our continuous improvement and continuous delivery while increasing maturity of DevOps and agile adoption practices.
Responsibilities:
- Ability to deploy software using orchestrators /scripts/Automation on Hybrid and Public clouds like AWS
- Ability to write shell/python/ or any unix scripts
- Working Knowledge on Docker & Kubernetes
- Ability to create pipelines using Jenkins or any CI/CD tool and GitOps tool like ArgoCD
- Working knowledge of Git as a source control system and defect tracking system
- Ability to debug and troubleshoot deployment issues
- Ability to use tools for faster resolution of issues
- Excellent communication and soft skills
- Passionate and ability work and deliver in a multi-team environment
- Good team player
- Flexible and quick learner
- Ability to write docker files, Kubernetes yaml files / Helm charts
- Experience with monitoring tools like Nagios, Prometheus and visualisation tools such as Grafana.
- Ability to write Ansible, terraform scripts
- Linux System experience and Administration
- Effective cross-functional leadership skills: working with engineering and operational teams to ensure systems are secure, scalable, and reliable.
- Ability to review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations.
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
Position: 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.

- Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
- Automate the provisioning of environments
- Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
- Manage a Continuous Integration and Deployment environment.
- Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
- Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.
Technical Skills
- Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
- Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
- Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
- Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
- Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).
Qualifications:
- B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
- Minimum 60% in Graduation and Post-Graduation.
- Good verbal and written communication skills
DevOps 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









