Azure DevOps Lead

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Linux/Unix experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

LogiNext is looking for a technically savvy and passionate Senior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 4 to 7 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

Job Title: Data Architect - Azure DevOps

Job Location: Mumbai (Andheri East)

About the company:
MIRACLE HUB CLIENT,   is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise.

Skill-sets Required:

• Design Enterprise Data Models
• Azure Data Specialist
• Security and Risk
• GDPR and other compliance knowledge
• Scrum/Agile
   

Job Role:

• Design and implement effective database solutions and models to store and retrieve company data
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations
• Install and organize information systems to guarantee company functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
  
  

Desired Candidate Profile:

• Bachelor’s degree in computer science, computer engineering, or relevant field.
• A minimum of 3 years’ experience in a similar role.
• Strong knowledge of database structure systems and data mining.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
• Excellent English communication and presentation skills, both verbal and written
• Charismatic, competitive and enthusiastic personality with negotiation skills

Compensation: NO BAR  .

• Ensure reliable operation of CI/CD pipelines
• Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
• Logging, metrics and alerting management.
• Creation of Bash/Python scripts for automation
• Performing root cause analysis for production errors.

• 2 years experience as Team Lead.
• Good Command on kubernetes.
• Proficient in Linux Commands line and troubleshooting.
• Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
• Hands-on experience with CI tooling preferably with Jenkins.
• Proficient in deployment using Ansible.
• Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
• Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
• Scripting languages: Bash, Python, Groovy.
• Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

• Lead, inspire, and influence to make sure your team is successful
• Partner with the recruiting team to attract and retain high-quality and diverse talent
• Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
• Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
• Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp

You'll need:

• BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
• Strong fundamentals in distributed systems design and development
• Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
• Experience running production services in Public Clouds such as AWS, GCP, and Azure
• Experience with running large stateful data systems in the Cloud
• Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
• A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
• Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team

• 3-6 years of relevant work experience in a DevOps role.
• Deep understanding of Amazon Web Services or equivalent cloud platforms.
• Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
• Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
• Continuously improve and increase the capabilities of the CI/CD pipeline
• Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
• Participate in production outages and handle complex issues and works towards resolution

1. GCP Cloud experience mandatory
2. CICD - Azure DevOps
3. IaC tools – Terraform
4. Experience with IAM / Access Management within cloud
5. Networking / Firewalls
6. Kubernetes / Helm / Istio

• Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
• Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
• Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
• Participating in on-call escalation to troubleshoot customer-facing issues
• Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance.
• Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.

• Should have strong experience of a couple of years, in leading DevOps team and planning, defining DevOps roadmap and executing as per the same along with the team 
• Familiarity with AWS cloud and JSON templates, Python, AWS Cloud formation templates
• Designing solutions using one or more AWS features, tools, and technologies such as EC2, EBS, Glacier, S3, ELB, CloudFormation, Lambada, CloudWatch, VPC, RDS, Direct Connect, AWS CLI, REST API
• Design and implement system architecture with AWS cloud - Develop automation scripts, ARM templates, Ansible, Chef, Python, Powershell Knowledge of AWS services and cloud design patterns- Knowledge on Cloud fundamentals like autoscaling, serverless
• Have experience with DevOps and Infrastructure as Code: AWS environment and application automation utilizing CloudFormation and third-party tools. CI/CD pipeline setup utilizing
• CI experience with the following is a must: Jenkins, Bitbucket/GIT, Nexus or Artifactory, SonarQube, WireMock or other mocking solution 
• Expert knowledge on Windows/Linux OS/Mac with at least 5-6 years of system administration experience
• Should have strong skills in using JIRA build tool
• Should have knowledge in managing the CI/CD pipeline on public cloud deployments using AWS
• Should have strong skills in using tools like Jenkins, Docker, Kubernetes (AWS EKS, Azure AKS), and Cloudformation.
• Experience in monitoring tools like Pingdom, Nagios, etc.
• Experience in reverse proxy services like Nginx and Apache
• Desirable experience in Bitbucket with version control tools like GIT/SVN
• Experience of manual/automated testing desired application deployments
• Experience in database technologies such as PostgreSQL, MySQL
• Knowledge of helm and terraform