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Tietoevry

Lead DevOps Engineer - Tieto Caretech (m/f/d)

Tietoevry is hiring a Lead DevOps Engineer - Tieto Caretech (m/f/d) in Pune, India. Level rates it ; you can apply on Tietoevry.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Claude and Copilot.
  • Level classifies it as a lead role.
  • Level lists 397 other open roles at Tietoevry.

AI in this role

claudecopilot

At Tieto Caretech you’ll get a chance to provide patients and end users with product offerings that help them in their life, reinventing the world for good. If that sounds interesting, please keep on reading.

About us

Tieto Caretech is modernizing the Nordic health and social care sector with modular, open, and interoperable software. We develop and deliver high-quality software solutions and services that enable healthcare and welfare professionals to do their work even better and with higher efficiency - have more time to care.

We are a global team of professionals working on providing products and services to different sectors from intensive care to laboratory and social care. In addition to working closely with our customers, we also have our own products that we build and develop for various fields in society. From enabling healthcare professionals to spend more valuable time with their patients to providing data for professional athletes to achieve even better results, we make all that possible. With us you can build technology for the good of society and make your mark on the health and wellbeing of people in need.

About the role

As a product development company with a multi-year history of building robust platform and clinical products, we are shaping the future of European healthcare using healthcare open standards. To support this vision, we are engineering a strictly cloud-agnostic web application and require a Lead DevOps Engineer having 7-9 years of hands-on experience in the field of DevOps to define and drive our infrastructure, deployment, and automation strategies.

Our engineering culture emphasizes high autonomy, flat team alignment, and pragmatic problem-solving principles inspired by Nordic corporate standards. You will join at a critical transition period to lead our repository migration from Azure DevOps (ADO) to GitHub and architect an AI-native development environment. Your strategic decisions regarding Kubernetes and Terraform will ensure our product deploys seamlessly across both managed cloud and self-hosted environments.

Technology Stack

  • Infrastructure & Provisioning: Kubernetes (K8s), Terraform, networking, capacity planning, load balancing, high availability (HA), and disaster recovery (DR).

  • CI/CD & Source Control: ArgoCD, Azure DevOps (ADO), GitHub (Transitioning), GitHub Actions

  • AI Tooling: GitHub Copilot, Claude (for AI-native/agentic development workflows)

  • Application Development Technologies: Fundamental knowledge of .NET 10, C#, Angular, and TypeScript is nice to have.

Responsibilities

  • Design CI/CD solutions to enable continuous and seamless application delivery.

  • Infrastructure Strategy: Define the Infrastructure as Code (IaC) governance using Terraform and Kubernetes, strictly maintaining a cloud-agnostic posture that fully supports self-hosted deployments and Mult cluster environment management.

  • Release on Demand Architecture: Architect and govern Release on Demand capabilities, decoupling continuous deployment from business releases. Design feature toggle strategies, blue/green deployments, and canary rollouts that align with healthcare compliance and SAFe delivery cadence.

  • DevSecOps & Compliance: Architect compliance-as-code, integrating automated security gating (SAST, DAST, dependency scanning) directly into GitHub workflows to meet strict European healthcare regulations (e.g., GDPR, NIS2).

  • Unified Observability: Define a vendor-neutral telemetry and monitoring strategy (utilizing standards like OpenTelemetry) to ensure consistent logging, metrics, and tracing across both cloud and self-hosted deployments.

  • Troubleshooting: Ability to diagnose and resolve deployment issues by analyzing application and system logs.

  • Workflow Architecture: Design and implement robust GitHub Copilot workflows and automated pipeline architectures that support our shift toward agentic and AI-native development.

  • Strategic Migration: Architect and lead the end-to-end repository migration strategy from Azure DevOps to GitHub without disrupting active development cycles.

  • Disaster Recovery (DR) Architecture: Design and govern multi-region failover strategies, automated backup architectures, and RTO/RPO standards to ensure the continuous availability of critical clinical systems.

  • Technical Leadership: Act as the primary DevOps authority within our SAFe/Agile Scrum framework, providing fact-based, pragmatic guidance and mentoring to the broader engineering team.

 

Technical Qualifications:

  • Extensive Containerization & IaC: Proven architectural experience designing and managing production workloads using Kubernetes and Terraform. Demonstrated ability to decouple infrastructure from specific cloud vendors.

  • Advanced Deployment Strategies: Deep architectural knowledge of zero-downtime deployment patterns and feature flag management systems tailored for enterprise platform rollouts.

  • CI/CD Mastery: Deep structural understanding of Azure DevOps pipelines combined with a strong capability to design, build, and automate sophisticated workflows in GitHub.

  • Ecosystem Familiarity: Understanding of how .NET (C#) and Angular/TypeScript applications compile, build, and deploy at an enterprise scale.

  • Security & Telemetry Architecture: Deep understanding of healthcare compliance frameworks, secrets management, and designing vendor-neutral observability stacks (e.g., Prometheus, Grafana, OpenTelemetry).

  • AI-Forward Mindset: Practical experience implementing and optimizing AI-assisted development tools (Copilot, Claude) within CI/CD pipelines and developer environments.

 

Professional Attributes:

  • Pragmatic & Fact-Driven: You make architectural decisions based on objective metrics, scalability requirements, and logic.

  • Self-Starter: You thrive in a high-trust environment, driving alignment and managing complex deliverables independently.

  • Agile Collaborator: Comfortable operating as a leader within a SAFe/Agile Scrum model, prioritizing clear communication with product owners and development teams.

What’s in it for you?

In addition, as a company we offer you professional growth, open and friendly culture. We believe that our organizational culture is an important part of enabling you to be successful. We provide a flexible hybrid work model as part of our culture and way of working.

Finally, we also believe in curiosity and learning as a lifestyle. We want to encourage you to keep up that curiosity and deepen your knowledge on topics you’re interested in.

Could you be our new colleague?

We look forward to hearing from you! We will fill the position as soon as we find the right person, so we encourage you to apply today. 

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion | Sustainability | Tieto

Stay alert to recruitment scams:
• Tieto only communicates via @tieto.com email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog

How we rate this

Lead DevOps Engineer - Tieto Caretech (m/f/d) at Tietoevry rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ClaudeCopilot

Questions you could be asked

  1. What's a project where you used Claude hands-on?
  2. Walk me through how you've used Copilot in your day-to-day work.

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  • List these exact terms on your resume: Claude and Copilot. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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