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Company Description About Inetum Inetum is a European leader in digital services. For businesses, public sector organizations, and society as a whole, the group’s 26,000 consultants and specialists work every day to create tangible digital impact: solutions that contribute to performance, innovation, and the common good. With a presence in 19 countries, working closely with local communities, and alongside its major software developer partners, Inetum supports organizations in their digital transformation challenges with proximity, flexibility, and responsibility. Driven by its purpose, Inetum champions a vision of technology that is useful and well-managed, capable of unlocking the full potential of organizations and society: “Let’s make tech right.” In 2025, the group generated revenue of 2.2 billion euros. More information at: www.inetum.com Job Description Design, build, and maintain a secure and scalable cloud platform for Python applications, APIs, and data processing solutions. Operate and continuously improve containerized runtime infrastructure. Manage infrastructure provisioning and configuration using Infrastructure-as-Code and Configuration-as-Code practices. Ensure platform reliability, availability, resilience, and recoverability. Support platform upgrades, patching, technology lifecycle management, and capacity planning activities. Design, implement, and maintain enterprise-grade CI/CD pipelines. Manage deployment processes across UAT and Production environments. Execute deployments for Python applications, APIs, data pipelines, and low-code solutions. Maintain deployment standards, release procedures, rollback mechanisms, and technical documentation. Support the deployment and operational management of Kedro-based data pipelines and related services. Operate and maintain application runtime environments. Ensure data processing services meet performance, availability, and operational SLAs. Enforce security-by-design principles throughout the deployment lifecycle. Manage secrets, credentials, certificates, runtime configurations, and secure access mechanisms. Ensure proper implementation and maintenance of OAuth2 authentication and authorization mechanisms. Lead vulnerability management, security patching, remediation activities, and compliance reporting. Participate in audits, risk assessments, security reviews, and operational control validations. Enforce governance standards and segregation of duties across development, deployment, and production operations. Design and maintain monitoring, logging, alerting, and observability solutions. Monitor production environments proactively and resolve deployment, infrastructure, integration, and runtime issues. Collaborate with Developers, Data Scientists, BI teams, Security, and Infrastructure teams. Provide technical guidance on deployment architectures, operational best practices, and automation strategies. Drive continuous improvements in platform capabilities, scalability, reliability, security, and developer experience. Qualifications Strong scripting and automation skills using Python and Bash. Experience with CI/CD tools such as GitHub Actions and ArgoCD. Hands-on experience with Infrastructure as Code using Terraform. Knowledge of observability tools including ELK, Grafana, Prometheus, and OpenTelemetry. Expertise in containerization and virtualization technologies such as Kubernetes, Docker, and Virtual Machines. Experience with orchestration and scheduling frameworks such as Airflow. Familiarity with AI-related tools including MLflow and OpenAI. Nice to have: Knowledge of Agentic AI, Generative AI, and AI Copilot solutions. Excellent communication and collaboration skills. Strong problem-solving abilities and the ability to work independently. Team-oriented mindset with experience working in Agile environments. Strong organizational and planning skills. Ability to work effectively across teams and stakeholders. High sense of confidentiality and data protection. Ability to provide regular reporting and updates to management. Strong willingness to learn and develop within the DevOps and Data Engineering domains. Professional proficiency in English. Additional Information Full access to foreign language learning platform Personalized access to tech learning platforms Tailored workshops and training to sustain your growth Medical insurance Meal tickets Monthly budget to allocate on flexible benefit platform Access to 7 Card services Wellbeing activities and gatherings
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.