DevOps Engineer

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

Requirements:

• Previously help a DevOps Engineer or System Engineer role

• 4+ years of production Linux system admin experience in high traffic environment

• 1+ years of experience with Amazon AWS and related services (instances, ELB,

   EBS, S3, etc.) and abstractions on top of AWS.

• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and    

   security concerns.

• Experience in running Docker and Kubernetes clusters in production.

• Love automating mundane tasks and make developers life easy

• Must be able to code in, at a minimum, Python (or Ruby) and Bash.

• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT

• Agile software development best practices - continuous integration, releases,branches, etc.

• Experience with modern monitoring tools; capacity planning.

• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.

• Self-motivated, fast learner, detail-oriented, team player with a sense of humor

Experience in managing CI/CD using Jenkins.

• Bachelor of Computer Science or Equivalent Education
• At least 5 years of experience in a relevant technical position.
• Azure and/or AWS experience
• Strong in CI/CD concepts and technologies like GitOps (Argo CD)
• Hands-on experience with DevOps Tools (Jenkins, GitHub, SonarQube, Checkmarx)
• Experience with Helm Charts for package management
• Strong in Kubernetes, OpenShift, and Container Network Interface (CNI)
• Experience with programming and scripting languages (Spring Boot, NodeJS, Python)
• Strong container image management experience using Docker and distroless concepts
• Familiarity with Shared Libraries for code reuse and modularity
• Excellent communication skills (verbal, written, and presentation)

Note: Looking for immediate joiners only.

• 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

Implementation Engineer

Implementation Engineer Duties and Responsibilities

• Understanding requirements from internal consumers about program functionality.
• Perform UAT tests on application with help of test cases and prepare documents for same and coordinate with team to resolve all issues within required timeframe and inform management of any delays.
• Collaborate with development team to design new programs for all client implementation activities and manage all communication with department to resolve all issues and assist implementation analyst to manage all production data.
• Perform research on all client issues and document all findings and implement all technical activities with help of JIRA.
• Assist internal teams to monitor all software implementation lifecycle and assist to track appropriate customization to all software for clients.
• Train technical staff on all OS and software issues and identify all issues in processes and provide solutions for same. Train other team members on processes, procedures, API functionality, and development specifications.
• Supervise/support crossed-functional teams to design, test and deploy to achieve on-time project completion.
• Implement, configure, and debug MySQL, JAVA, Redis, PHP, Node, ActiveMQ setups.
• Monitor and troubleshoot infrastructure utilizing SYSLOG, SNMP and other monitoring software.
• Install, configure, monitor and upgrade applications during installation/upgrade activities.
• Assisting team to identify network issue and help them with respective resolutions.
• Utilize JIRA for issue reporting, status, activity planning, tracking and updating project defects and tasks.
• Managing JIRA and tracking tickets to closure and follow-ups with team members.
• Troubleshoot software issues
• Provide on-call support as necessary

Implementation Engineer Requirements and Qualifications

• Bachelor’s degree in computer science, software engineering, or a related field
• Experience working with
• Linux & Windows Operating system
• Working on shell and bat scripts
• SIP/ISUP based solutions
• deploying / debugging Java, C++ based solutions.
• MySQL to install, backup, update and retrieve data
• Front-end or back-end software development for LINUX
• database management and security a plus
• Very good debugging and analytical skills
• Good Communication skills

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

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

The expectation is to set up complete automation of CI/CD pipeline & monitoring and ensure high availability of the pipeline. The automated deployment environment can be on-prem or cloud (virtual instances, containerized and serverless). Complete test automation and ensure Security of Application as well as Infrastructure.

ROLES & RESPONSIBILITIES

Configure Jenkins with load distribution between master/slave Setting up the CI pipeline with Jenkins and Cloud(AWS or Azure) Code Build Static test (Quality & Security) Setting up Dynamic Test configuration with selenium and other tools Setting up Application and Infrastructure scanning for security. Post-deployment security plan including PEN test. Usage of RASP tool. Configure and ensure HA of the pipeline and monitoring Setting up composition analysis in the pipeline Setting up the SCM and Artifacts repository and management for branching, merging and archiving Must work in Agile environment using ALM tool like Jira DESIRED SKILLS

Extensive hands-on Continuous Integration and Continuous Delivery technology experience of .Net, Node, Java and C++ based projects(Web, mobile and Standalone). Experience configuring and managing

• ALM tools like Jira, TFS, etc.
• SCM such as GitHub, GitLab, CodeCommit
• Automation tools such as Terraform, CHEF, or Ansible
• Package repo configuration(Artifactory / Nexus), Package managers like Nuget & Chocholatey
• Database Configuration (sql & nosql), Web/Proxy Setup(IIS, Nginx, Varnish, Apache).

Deep knowledge of multiple monitoring tools and how to mine them for advanced data Prior work with Helm, Postgres, MySQL, Redis, ElasticSearch, microservices, message queues and related technologies Test Automation with Selenium / CuCumber; Setting up of test Simulators. AWS Certified Architect and/or Developer; Associate considered, Professional preferred Proficient in: Bash, Powershell, Groovy, YAML, Python, NodeJS, Web concepts such as REST APIs and Aware of MVC and SPA application design. TTD experience and quality control with Sonarqube or Checkmarx, Tics Tiobe and Coverity Thorough with Linux(Ubuntu, Debian CentOS), Docker(File/compose/volume), Kubernetes cluster setup Expert in Workflow tools: Jenkins(declarative, plugins)/TeamCity and Build Servers configuration Experience with AWS CloudFormation / CDK and delivery automation Ensure end-to-end deployments succeed and resources come up in an automated fashion Good to have ServiceNow configuration experience for collaboration

What you will get:

1. To be a part of the Core-Team 💪
2. A Chunk of ESOPs 🚀
3. Creating High Impact by Solving a Problem at Large (No one in the World has a similar product) 💥
4. High Growth Work Environment ⚙️

What we are looking for:

1. An 'Exceptional Executioner' -> Leader -> Create an Impact & Value 💰
2. Ability to take Ownership of your work
3. Past experience in leading a team