Level

Thales

DevOps Engineer

AI in this role

Location: Noida, India

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Present in India since 1953, Thales is headquartered in Noida, Uttar Pradesh, and has operational offices and sites spread across Bengaluru, Delhi, Gurugram, Hyderabad, Mumbai, Pune among others. Over 1800 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Transport, Aerospace and Digital Identity and Security markets.

Job Description Summary

Thales is seeking a DevOps Engineer to take end-to-end ownership of the operations, scalability, and reliability of our Sentinel Licensing SaaS platform. This role is critical to ensuring seamless service delivery for our global customer base. You will be responsible for managing production environments in AWS and GCP, supporting containerized workloads on Kubernetes and Docker, and driving automation through Infrastructure as Code (IaC) and CI/CD practices. Collaborating closely with engineering, SRE, platform, and customer-facing teams, you will proactively improve system performance, incident response, monitoring, and cost optimization. This position requires strong technical leadership, hands-on cloud experience, and a deep understanding of operating complex SaaS environments at scale.

Key Responsibilities

  • Manage and scale highly available services in a production cloud environment.
  • Collaborate with cross-functional teams to automate infrastructure provisioning and application deployments using modern DevOps toolchains.
  • Support and optimize containerized workloads running on Kubernetes and Docker.
  • Build tools and processes to enhance application monitoring, logging, and performance tuning.
  • Ensure production environments meet SLAs, support cost optimization, and adhere to security and compliance standards.
  • Troubleshoot complex issues across the full technology stack including applications, databases, networks, and cloud infrastructure.
  • Participate in incident management, perform root cause analysis, and lead continuous improvement efforts.
  • Operate effectively as part of a globally distributed, 24x7 support team.

Required Skills & Experience

  • Minimum 6 years of experience in service delivery, technical operations, or DevOps roles.
  • Hands-on experience with AWS (preferred) and/or Google Cloud Platform (GCP).
  • Proficiency in scripting/programming with Python, Ruby, Node.js, Java, Scala, or Golang.
  • Deep experience with infrastructure-as-code tools such as Terraform and Ansible.
  • Expertise in Docker and Kubernetes in production environments.
  • Familiarity with monitoring and logging tools such as DataDog, Splunk, or Logstash.
  • Working knowledge of load balancers/proxies such as HAProxy, NGINX, Apache, Istio, F5, or AWS ELB.
  • Basic hands-on experience with relational databases like MySQL, PostgreSQL, Oracle, or SQL Server.
  • Fluency in using Git and modern version control workflows.
  • Excellent communication skills—written and verbal—essential for effective collaboration across global teams.
  • Strong ownership mindset and problem-solving skills, with the ability to lead initiatives across functions.
  • Previous experience working successfully in a remote or geographically distributed team.

Preferred Skills & Experience

  • Hands-on experience with J2EE/JVM-based web applications, including JVM tuning and troubleshooting.
  • Experience designing and deploying automated monitoring and alerting for cloud-native services.
  • Familiarity with CI/CD pipelines and build tools such as Jenkins, Bamboo, TeamCity, Maven, Ant, and scripting with Groovy.
  • Solid understanding of 12-Factor App methodology and microservices architecture.
  • Exposure to emerging platforms such as Cloud Foundry, OpenShift, and Serverless technologies.

Why Join Us

This is a high-impact opportunity to work on cutting-edge DevOps practices in a global SaaS environment. You will directly contribute to the stability, scalability, and evolution of Thales’ cloud-based licensing solutions. If you're passionate about automation, cloud innovation, and operational excellence—we want to hear from you.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

How we score this

DevOps Engineer at Thales scores 34 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Get new AI jobs by email

One email a week with the new AI jobs, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Software Engineering roles rated AI Level 1 at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Thales

Related searches

Same AI level