Azure Cloud Engineer
at 10FA India Private Limited.Formerly known as Prudential Glob
- Proficiency in Integration of various Azure resources (IaaS and PaaS - SQL DB , App Service , Application Insights , databricks , Storage accounts etc) to deliver an end to end automation.
- Thorough understanding of Continuous integration and continuous delivery using Azure DevOps/VSTS.
- Performing cost analysis of the Azure platform to identify where cost efficiencies could be had.
- Proficiency and thorough understanding of Azure RBAC model.
- Sound understanding of Azure Active directory and conditional access policies.
- Good grasp of Azure governance principles and hands-on experience in rolling out compliance and governance polices.
- Proficiency in developing infrastructure automation scripts in the form of ARM templates and Azure Power Shell scripts which can then be provided to application teams as consumables.
- Effective communication skills, both written and verbal for technical and non-technical audiences.
- Good working and hands on knowledge of Azure IaaS , Vnet , Subnets , Firewalls and NSG. Sound understanding of networking knowledge on DNA and Firewall security like Palo Alto.
- Experience working with Confluence, JIRA, Bitbucket, git, Jenkins, Sonar for collaboration and continuous integration.
- Experience with agile methods, along with having found their limitations and ways to overcome them.
Similar jobs
Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker.
They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.
- Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
- Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
- Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
- Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
- Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
- Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
- Ensuring security and compliance/DevSecOps: Managing code quality and security policies
- Troubleshooting issues: Investigating issues and responding to customer queries
- Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
- Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.
As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.
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Development of automation scripts and pipelines for deployment and monitoring of new production environments.
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Development of automation scripts for upgrades, hotfixes deployments and maintenance.
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Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.
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Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
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Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
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Write Knowledge articles to document known issues and best practices.
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Conduct regression tests to validate solutions or workarounds.
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Work in a globally distributed team.
What achievements should you have so far?
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Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.
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Experience with containerization, deployment, and operations.
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Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
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Good experience with Linux systems and Shell scripting.
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Basic cloud experience, preferably oriented on MS Azure.
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Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).
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Good Networking skills and experience.
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Having Terraform or CloudFormation knowledge will be considered a plus.
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Ability to analyze a task from a system perspective.
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Excellent problem-solving and troubleshooting skills.
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Excellent written and verbal communication skills; mastery in English and local language.
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Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
4 – 6 years of application development with design, development, implementation, and
support experience, including the following:
o C#
o JavaScript
o HTML
o SQL
o Messaging/RabbitMQ
o Asynchronous communication patterns
Experience with Visual Studio and Git
A working understanding of build and release automation, preferably with Azure DevOps
Excellent understanding of object-oriented concepts and .Net framework
Experience in creating reusable libraries in C#
Ability to troubleshoot and isolate/solve complex bugs, connectivity issues, or OS related
issues
Ability to write complex SQL queries and stored procedures in Oracle and/or MS SQL
Proven ability to use design patterns to accomplish scalable architecture
Understanding of event-driven architecture
Experience with message brokers such as RabbitMQ
Experience in the development of REST APIs
Understanding of basic steps of an Agile SDLC
Excellent communication (both written and verbal) and interpersonal skills
Demonstrated accountability and ownership of assigned tasks
Demonstrated leadership and ability to work as a leader on large and complex tasks
- 7+ years of experience in System Administration, Networking, Automation, Monitoring
- Excellent problem solving, analytical skills and technical troubleshooting skills
- Experience managing systems deployed in public cloud platforms (Microsoft Azure, AWS or Google Cloud)
- Experience implementing and maintaining CI/CD pipelines (Jenkins, Concourse, etc.)
- Linux experience, flavours: Ubuntu, Redhat, CentOS (sysadmin, bash scripting)
- Experience setting up monitoring (Datadog, Splunk, etc.)
- Experience in Infrastructure Automation tools like Terraform
- Experience in Package Manager for Kubernetes like Helm Charts
- Experience with databases and data storage (Oracle, MongoDB, Postgres SQL, ELK stack)
- Experience with Docker
- Experience with orchestration technologies (Kubernetes or DC/OS)
- Familiar with Agile Software Development
- Azure Data Factory, Azure Data Bricks, Talend, BODS, Jenkins
- Microsoft Office (mandatory)
- Strong knowledge on Databases, Azure Synapse, data management, SQL
- Knowledge on any cloud platforms (Azure, AWS etc.,)
About the Role
- Own the end-to-end infrastructure of Sibros Cloud
- Define and introduce security best practices, identify gaps in infrastructure and come up with solutions
- Design and implement tools and software to manage Sibros’ infrastructure
- Stay hands-on, write and review code and documentation, debug and root cause issues in production environment
Minimum Qualifications
- Experience in Infrastructure as Code (IaC) to manage multi-cloud environments using cloud agnostic tools like Terraform or Ansible
- Passionate about security and have good understanding of industry best practices
- Experience in programming languages like Python, Golang, and enjoying automating everything using code
- Good skills and intuition on root cause issues in production environment
Preferred Qualifications
- Experience in database and network management
- Experience in defining security policies and best practices
- Experience in managing a large scale multi cloud environment
- Knowledge of SOC, GDPR or ISO 27001 security compliance standards is a plus
Equal Employment Opportunity
Sibros is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.
About the client :
Asia’s largest global sports media property in history with a global broadcast to 150+ countries. As the world’s largest martial arts organization, they are a celebration of Asia’s greatest cultural treasure, and its deep-rooted Asian values of integrity, humility, honor, respect, courage, discipline, and compassion. Has achieved some of the highest TV ratings and social media engagement metrics across Asia with its unique brand of Asian values, world-class athletes, and world-class production. Broadcast partners include Turner Sports, Star India, TV Tokyo, Fox Sports, ABS-CBN, Astro, ClaroSports, Bandsports, Startimes, Premier Sports, Thairath TV, Skynet, Mediacorp, OSN, and more. Institutional investors include Sequoia Capital, Temasek Holdings, GIC, Iconiq Capital, Greenoaks Capital, and Mission Holdings. Currently has offices in Singapore, Tokyo, Los Angeles, Shanghai, Milan, Beijing, Bangkok, Manila, Jakarta, and Bangalore.
Position : Devops Engineer – SDE3
As part of the engineering team, you would be expected to have deep technology expertise with a passion for building highly scalable products. This is a unique opportunity where you can impact the lives of people across 150+ countries!
Responsibilities
• Develop Collaborate in large-scale systems design discussions.
• Deploying and maintaining in-house/customer systems ensuring high availability, performance and optimal cost.
• Automate build pipelines. Ensuring right architecture for CI/CD
• Work with engineering leaders to ensure cloud security
• Develop standard operating procedures for various facets of Infrastructure services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)
• Perform & automate regular backups of servers & databases. Ensure rollback and restore capabilities are Realtime and with zero-downtime.
• Lead the entire DevOps charter for ONE Championship. Mentor other DevOps engineers. Ensure industry standards are followed.
Requirements
• Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer
• B.E/B.Tech in CS or equivalent streams from institute of repute
• Experience in Azure is a must. AWS experience is a plus
• Experience in Kubernetes, Docker, and containers
• Proficiency in developing and deploying fully automated environments using Puppet/Ansible and Terraform
• Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager, Newrelic
• Good knowledge of source code control (git)
• Expertise in Continuous Integration and Continuous Deployment setup using Azure Pipeline or Jenkins
• Strong experience in programming languages. Python is preferred
• Experience in scripting and unit testing
• Basic knowledge of SQL & NoSQL databases
• Strong Linux fundamentals
• Experience in SonarQube, Locust & Browserstack is a plus
- GCP Cloud experience mandatory
- CICD - Azure DevOps
- IaC tools – Terraform
- Experience with IAM / Access Management within cloud
- Networking / Firewalls
- Kubernetes / Helm / Istio
A strong background in Azure OR Amazon Web Services (AWS) or a similar cloud platform is a must-have, certification is a plus.
Excellent technical skills and knowledge include but not limited to: cloud methodologies like PaaS and SaaS; programming languages such as Python, Java, .Net; orchestration systems such as Chef, Ansible, Terraform; Azure IaaS servers; PowerShell scripting.
Fully aware of the DevOps cycle with hands-on on deployment models to the cloud.
Experience working with Docker and related containerization technologies.
Experience working on orchestration platforms such as AKS, RedHat OpenShift etc.
Extensive knowledge working with logging and monitoring tools such as EFK, visualization tools such as Grafana and Prometheus.
Exposure to security alert monitoring tools.
Experience in building both microservices and public facing API's.- Experience in working with any of the API gateways.