Lead Enterprise Software Engineer (Terraform Iac, Python, Powershell, Azure, AI Integration)

wk; India; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Wolters Kluwer seeks a Lead DevOps Engineer to design, build, and optimize enterprise-scale software and cloud platforms. You will drive DevSecOps, platform engineering, and AI-enabled innovation while mentoring teams and shaping architectural strategy.

You will lead secure, scalable deployments, oversee CI/CD pipelines, and guide IaC adoption across AWS/Azure/GCP, ensuring performance and cost-efficiency in a rapidly evolving tech environment.

Qualifications

• Bachelor's degree in CS, IS, or related technical field.
• 7+ years in software engineering, DevSecOps, or platform engineering.
• 3+ years in a technical leadership role.
• 2+ years of AI and generative AI tech experience or exposure.

Responsibilities

• Lead design and engineering of scalable, secure, and resilient enterprise software and cloud platforms.
• Define and implement best practices in software development, DevSecOps, and infrastructure automation.
• Oversee deployment, monitoring, and maintenance of platforms using SRE principles.
• Architect and manage cloud infrastructure (AWS, Azure, GCP) for performance, cost-efficiency, and compliance.
• Lead development and optimization of CI/CD pipelines and IaC practices.
• Guide adoption of containerized and serverless architectures (e.g., Docker, AKS, Azure Functions).
• Ensure adherence to security standards, conduct risk assessments, and lead compliance initiatives.
• Translate complex business requirements into scalable technical solutions and roadmaps.
• Mentor and coach engineering teams, fostering continuous improvement and innovation.
• Explore and integrate generative AI technologies to enhance software capabilities.

Skills

Scripting (Bash/Python)

.NET

Java

Terraform / IaC

CI/CD tooling

Cloud platforms (AWS/Azure/GCP)

SRE practices

Technical leadership

Communication

Security/compliance

Gen AI / AI technologies

Education

Bachelor's degree in Computer Science/Information Systems/related field

Tools

Azure DevOps

Jenkins

GitLab CI

GitHub Actions

Docker

AKS

Azure Functions

Terraform

Job description

About the role

The Lead DevOps Engineer is a senior technical leader responsible for designing, building, and optimizing enterprise-scale software systems and cloud platforms. This role combines deep technical expertise with leadership in DevSecOps, platform engineering, and cloud architecture. The Lead DevOps Engineer drives innovation, ensures engineering excellence, and leads cross-functional initiatives to deliver secure, scalable, and high-performing solutions. This position also plays a key role in mentoring teams, influencing technical strategy, and integrating emerging technologies such as generative AI into engineering practices.

As part of our dynamic DevOps community, you'll join a global network of passionate tech professionals who collaborate, support, and inspire each other across borders. You'll have the opportunity to:

• Attend flagship events like Wolters Kluwer Technology Summit
• Participate in industry-leading conferences such as Ignite
• Compete in exciting challenges like the Code Games

We believe in continuous learning, innovation, and celebrating success together.

You will

• Lead the design and engineering of scalable, secure, and resilient enterprise software and cloud platforms.
• Define and implement best practices in software development, DevSecOps, and infrastructure automation.
• Oversee the deployment, monitoring, and maintenance of platforms using SRE principles.
• Architect and manage cloud infrastructure (AWS, Azure, GCP), ensuring performance, cost-efficiency, and compliance.
• Lead the development and optimization of CI/CD pipelines and Infrastructure as Code (IaC) practices.
• Guide the adoption of containerized and serverless architectures (e.g., Docker, AKS, Azure Functions).
• Ensure adherence to security standards, conduct risk assessments, and lead compliance initiatives.
• Translate complex business requirements into scalable technical solutions and roadmaps.
• Mentor and coach engineering teams, fostering a culture of continuous improvement and innovation.
• Explore and integrate generative AI technologies to enhance software capabilities and automation.

Education

Bachelor's degree in Computer Science, Information Systems, or a related technical field.

Experience

• Minimum of 7 years of experience in software engineering, DevSecOps, or platform engineering.
• At least 3 years in a technical leadership role.
• Minimum 2 years of experience with AI and generative AI technologies or equivalent exposure.
• Proven experience in enterprise-scale application and infrastructure operations.

Skills

• Advanced proficiency in scripting languages (e.g., Bash, Python) for automation and infrastructure tasks.
• Deep expertise in programming frameworks (.NET, Java) and modern application development.
• Extensive experience with Terraform and other IaC tools, including module development and maintenance.
• Proficiency with CI/CD tools (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions).
• Strong architectural knowledge of cloud platforms (AWS, Azure, GCP), including service design and deployment.
• Familiarity with SRE practices and tools for monitoring, incident management, and performance tuning.
• Strong analytical, problem-solving, and decision-making skills in complex technical environments.
• Excellent communication and collaboration skills, with the ability to influence stakeholders and lead teams.
• Relevant certifications (e.g., PSD, Azure/AWS DevOps) are preferred.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.