DevOps Engineer / leads

DevOps Consultant 

Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)

Key Skills / Requirements:

• Mandatory
• Integrating Jenkins pipelines with Terraform and Kubernetes
• Writing Jenkins JobDSL and Jenkinsfiles using Groovy
• Automation and integration with AWS using Python and AWS CLI
• Writing ad-hoc automation scripts using Bash and Python
• Configuring container-based application deployment to Kubernetes
• Git and branching strategies
• Integration of tests in pipelines
• Build and release management
• Deployment strategies (eg. canary, blue/green)
• TLS/SSL certificate management
• Beneficial
• Service Mesh
• Deployment of Java Spring Boot based applications
• Automated credential rotation using AWS Secrets Manager
• Log management and dashboard creation using Splunk
• Application monitoring using AppDynamics

If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud

Regards,
Anitha. K
TAG Specialist

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.

DevOps Engineer (Automation) 

ABOUT US

Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

LOCATION:  Mumbai

THE POSITION

Ashnik is looking for talented and passionate Technical consultant to be part of the training team and work with customers on DevOps Solution. You will be responsible for implementation and consultations related work for customers across SEA and India. We are looking for personnel with personal qualities like -

• Passion for working for different customers and different environments.
• Excellent communication and articulation skills
• Aptitude for learning new technology and willingness to understand technologies which he/she is not directly working on.
• Willingness to travel within and outside the country.
• Ability to independently work at the customer site and navigate through different teams.

RESPONSIBILITIES

                     First 2 months:

• Get an in-depth understanding of Containers, Kubernetes, CI/CD, IaC.
• Get hands-on experience with various technologies of Mirantis Kubernetes Engine, Terraform, Vault, Sysdig

After 2 months: The ideal candidate can will ensure the following outcomes from every client deployment:

• Utilize various open source technologies and tools to orchestrate solutions.
• Write scripts and automation using Perl/Python/Groovy/Java/Bash
• Build independent tools and solutions to effectively scale the infrastructure.
• Will be involved in automation using CI/CD/DevOps concepts.
• Be able to document procedures for building and deploying.
• Build independent tools and solutions to effectively scale the infrastructure.
• Work on a cloud-based infrastructure spanning Amazon Web Services and Microsoft Azure
• Work with pre-sales and sales team to help customers during their evaluation of Terraform, Vault and other open source technologies.
• Conduct workshops for customers as needed for technical hand-holding and technical handover.

SKILLS AND EXPERIENCE

• Graduate/Post Graduate in any technology.
• Hands on experience in Terraform, AWS Cloud Formation, Ansible, Jenkins, Docker, Git, Jira etc
• Hands on experience at least in one scripting language like Perl/Python/Groovy/Bash
• Knowledge of Java/JVM based languages.
• Experience in Jenkins maintenance and scalability, designing and implementing advanced automation pipelines with Jenkins.
• Experience with a repository manager like JFrog Artifactory
• Strong background in git, Github/Bitbucket, and code branching/merging strategies
• Ability to understand and make trade-offs among different DevOps tools.

ADDITIONAL SKILLS

• Experience with Kubernetes, AWS, Google Cloud and/or Azure is a strong plus
• Some experience with secrets/key management preferably with HashiCorp Vault
• Experience using monitoring solutions, i.e. Datadog, Prometheus, ELK Stack, NewRelic, Nagios etc

Roles & Responsibilities :

• Champion engineering and operational excellence.
• Establish a solid infrastructure framework and excellent development and deployment processes.
• Provide technical guidance to both your team members and your peers from the development team.
• Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
• Be part of and help create a positive work environment based on accountability.
• Communicate across functions and drive engineering initiatives.
• Initiate cross team collaboration with product development teams to develop high quality, polished products, and services.

Required Skills :

• 5+ years of professional experience developing and launching software products on Cloud.
• Basic understanding Java/Go Programming
• Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
• Deep understanding of AWS or Any Cloud.
• Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
• Good Understanding of Operating systems
• Strong technical background with track record of individual technical accomplishments
• Ability to handle multiple competing priorities in a fast-paced environment
• Ability to establish credibility with smart engineers quickly.
• Most importantly, ability to learn and urge to learn new things.
• B.Tech/M.Tech in Computer Science or a related technical field.

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