DevSecOps

Salary

₹15 - 40 LPA

Min Experience

8 years

Location

Bangalore

JobType

full-time

About the role

Company profile:


 

https://www.visionet.com

Founded in 1995, Visionet Systems is a full-service IT product, consulting, and services company serving global brands. For over 25 years, it has delivered digital solutions and services that help enterprises increase agility, reduce costs, and minimize business risk. With the latest innovations, Visionet helps companies worldwide create decisive competitive advantages through holistic technology solutions. We provide strategic business value to an extensive and impressive list of marquee customers across a variety of industries. Visionet delivers high-impact strategies, techniques, and technologies that help our clients compete, win, and sustain growth in a hyper- competitive, digitally disruptive market. The success of our clients and delivering value to the parties they serve is our number-one goal.

Visionet believes in top of the line consulting and implementing digital solutions for its esteemed customers as part of its overall service which includes Cloud services, Data Analytics, Application Development & support, Digital Transformation Services, RPA, BPM services to name a few. Visionet offers a consulting-led, Cognitive powered, integrated portfolio of IT, Business & Technology Services, and engineering.
 



Summary

 

Azure Devops Engineer experienced with DevSecOps tools and secops Analysis. Core skills include building and maintaining continuous integration and delivery pipelines, infrastructure as code, and automated deployment processes

Should have hands on experience with a variety of SAST tools such as SonarQube and integrating the same with build and release pipelines in a cloud environment

Should have Good Experience in the design, development, and deployment of AWS cloud platform solutions

Knowledge of best practices in coding and software development using linting and code coverage tools

Essential Skills and Responsibilities

  • Perform the deployment, monitoring, and maintenance of platforms
  • Ensure platform reliability, scalability, and performance.
  • Manage cloud infrastructure and services
  • Work closely with cross-functional teams (developers, operations, QA, etc.).
  • Communicate technical concepts to non-technical stakeholders.
  • Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as jenkins, Azure Devops, Github Actions, Gitlab CI
  • Develop scripts and tools to improve operational efficiency
  • Ensure software and platforms comply with security standards and regulations.
  • Implement security best practices and conduct regular security assessments
  • Adhere to access controls and protect sensitive data
  • Document processes, procedures, and infrastructure setups
  • Stay up to date with emerging technologies and industry trends
  • Continuously improve systems, processes, and methodologies
  • Participate in project planning and execution
  • Understand customer requirements and translate them into technical solutions
  • Engage with stakeholders to gather feedback and refine requirem
  • Explore and integrate generative AI technologies to enhance software capabilities
  • Good to have experience with AIOPs, MLOps

Experience:

  • Bachelor’s degree in computer science, Information Systems, or a related field
  •  Minimum of 3 years of hands-on experience in DevOps Engineering on MS Azure
  • Good hands on experience with Azure Webapp and Azure functions
  • Proficiency in scripting languages (e.g., Bash, Python, Power shell) for automation tasks and infrastructure management
  • Extensive experience with Terraform for infrastructure as code (IaC) management, including writing and maintaining modules. Experience with ARM templates or Bicep is an added advantage
  • Proficiency with CI/CD tools and practices (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions), including creating and managing pipelines
  • Comprehensive experience with AWS cloud platform
  • Good experience with monitoring stacks such as Prometheus, Grafana and ELK, Azure Monitoring services
  • Good experience with Kubernetes in a cloud environment along with Microservices deployment
  • Good to have exposure to designing and implementing cloud services and architectures.

Additional skills

Strong analytical and problem-solving skills, with the ability to work effectively in a fast-paced, evolving environment, ensuring platform reliability and scalability

Good to have experience with AI and Generative AI technologies

Good to have Experience with ARM templates or Bicep

Skills

DevSecOps
Microsoft Azure
Sonarqube
SAST