Devops Engineer
Summary
Designs and maintains a secure, scalable cloud platform for Python apps and data pipelines using Kubernetes, Terraform, and CI/CD tools like GitHub Actions.
- 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.
- 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.
- 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