DevOps Engineer

Key Skills Required:

·         You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services. 

·         You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers. 

·         You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.

·         You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application

To be the right fit, you'll need:

·         Expert in Cloud Services like AWS.

·         Experience in Terraform Scripting.

·         Experience in container technology like Docker and orchestration like Kubernetes.

·         Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.

·         Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)

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

• 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code. 
• Advanced Linux system administration abilities. 
• Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus. 
• Experience with managing production environments on AWS or GCP. 
• Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus. 
• Experience on any configuration management tools like Ansible, Puppet or Chef is a must. 
• Experience in any one of the scripting languages: Shell, Python, etc. 
• Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must. 
• Solid understanding of SSL and DNS. 
• Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc. 
• Basic understanding of networking concepts.
• Always adhere to security best practices.
• Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.  
• Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage. 

What you get to do 

• Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments 
• Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues 
• Continuously improve Conviva SaaS services and infrastructure for availability, performance and security 
• Implement security best practices – primarily patching of operating systems and applications 
• Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
• Participate in 12x7 on-call rotations 
• Work with third party service/support providers for installations, support related calls, problem resolutions etc. 

Description

DevOps Engineer / SRE

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform  etc

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

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

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles