DevOps Consultant Job at NTT DATA (Chennai)

Job Description

The Senior Engineer in Production Management, will be responsible for the development and overall implementation of software in a complex, critical and large cross-departmental and multi-disciplinary area. The role is part of a multi-year transformation journey that will require a successful candidate to establish best practices, motivate and promote a cultural shift that will ensure a successful adoption of Engineering Principles and Practices within Production Management. The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects. Excellent communication skills required to negotiate internally. Involved in short- to medium-term planning of actions and resources for own area.

Job Responsibility

Demonstrates an in-depth understanding of Software Development Lifecycle and how it integrates within the overall technology landscape to deliver scalable, reliable and resilient applications
Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures
Operates into a highly regulated environment that requires in-depth understanding of the regulatory requirements and the industry implications for our technologies
Improve the service level the team provides to our end users, which includes maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing practices
Drives Continuous Delivery and Automation efforts across the supported applications by means of Root Cause Analysis reviews, Knowledge management, Performance tuning, and user training
Fosters a culture that promotes transparency and innovation for increased team productivity
Coaching members of the team and outside the immediate reporting line about the best practices and recognises anti-patterns that are quickly addressed
Implements the Agile Framework through one of its implementations like SCRUM or Kanban and ensures it integrates with overall organisation processes
Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period

Requirements

Relevant experience in a critical software development role with high business impact, ability to understand how software delivers business value
Excellent engineering skills and senior architecture
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent understanding of Software Engineering concepts like Software Development Life Cycle and GitOps
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh, like Istio, is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, etc.) is a highly desirable
Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban)
Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable
Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable
Degree in computer science/mathematics/physics or related technical subject is desirable
Experience of senior stakeholder management
Consistently demonstrates clear and concise written and verbal communication skills

Nice to have

Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, etc.) is a highly desirable
Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable
Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable
Degree in computer science/mathematics/physics or related technical subject is desirable

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DevOps Consultant

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