How much salary can I expect as a DevSecOps Consultant in Infosys in Mangalore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for DevSecOps Consultant in Infosys in Mangalore?

The candidate should have completed the required education and people who have 5 to 14 years are eligible to apply for this job. You can apply for more jobs in Mangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Mangalore at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

How can I apply for this job?

Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

What is the last date to apply?

The last date to apply for this job is . For more details, download apna app and find Full Time jobs in Mangalore . Through apna, you can find jobs in 64 cities across India. Join NOW!

DevSecOps Consultant

Infosys

DevSecOps Consultant

Infosys

Mangalore

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

DevSecOps Consultant

• Strong experience in platform engineering across people, process, and technology, with a focus on AI-augmented DevSecOps practices. • Hands-on expertise in CI/CD/CT pipeline development using Java, .NET, ERP platforms, with strong scripting and automation capabilities. • Experience designing and optimizing cloud environments (AWS, Azure, GCP), including auto-scaling, high availability, and AI-based resource orchestration. • Proficiency with DevOps toolchains: Git, Maven, Artifactory, Nexus; and configuration management tools like Ansible, Chef, Puppet. • Hands-on with Terraform, Ansible Tower, Docker Swarm, Kubernetes. • Experience in integrating and using AI developer tools like GitHub Copilot, GitLab Duo, and Microsoft 365 Copilot in engineering workflows. • Skilled in managing EKS (AWS), AKS (Azure), and OpenShift clusters, with hands-on experience in provisioning, scaling, and lifecycle operations Good to Have: • Familiarity with Agile methodologies (Scrum, Kanban). • Exposure to ML frameworks: Python ML, Scikit-learn, TensorFlow, Spark ML. • Experience with monitoring/APM tools: ELK, Prometheus, New Relic, Dynatrace, Nagios. • Knowledge of capacity planning and incident response using AI-based anomaly detection. • Experience with NoSQL and key-value stores: MongoDB, Redis, Memcached. • Understanding of web server technologies. • Strong automation mindset with a vision for scalable, intelligent environments. • Analyze client IT environments to identify opportunities for enhanced efficiency using AI-powered DevSecOps tools and methodologies across traditional and cloud-native platforms. • Prepare gap analysis and design a roadmap for AI-integrated DevOps automation, covering CI/CD/CT pipelines from requirements to deployment. • Architect intelligent DevSecOps tooling infrastructure, defining interfaces and integrations with platforms like GitHub, GitLab, Azure DevOps, and AI-enhanced developer tools. • Mentor DevOps engineers in leveraging Generative AI tools such as GitHub Copilot, GitLab Duo, and Microsoft 365 Copilot to accelerate development, testing, and deployment workflows. • Apply Prompt Engineering techniques to optimize interactions with LLMs and improve automation, code generation, and documentation. • Research and evaluate emerging technologies in AI/ML, MLOps, and Generative AI, contributing to solution development and innovation.