Senior DevOps Engineer with AI/ML
Ruse, Bulgaria
Endava
We combine world-class engineering with deep industry expertise and a people-centric mindset to drive meaningful change.Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description
Applications management involves overseeing the lifecycle of software applications, including deployment, monitoring, maintenance, and optimization to ensure they meet business requirements and deliver value effectively.
We are looking for an individual who is willing to build professional relationships with key stakeholders within the company, with the ability to understand complex problems and focus on the best solutions according to the business needs. You will be exposed to a variety of challenges, from technical solutions and design to improving service delivery from an end-to-end perspective.
Responsibilities:
- Architect, implement, and maintain DevOps pipelines and infrastructure of various CI/CD platforms (Azure DevOps, GitLab, GitHub, Teamcity, Jenkins, etc.)
- Collaborate with development teams to improve CI/CD processes
- Design, deploy, and optimize scalable cloud-based environments - Azure or AWS
- Troubleshoot and resolve infrastructure and deployment issues
- Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
- Documents existing processes
- Applies good communication skills with team and client interaction.
Qualifications
- Hands on experience in DevOps practices, tools, and philosophies, Cloud Engineering, or related roles
- Strong expertise in Cloud native services (AWS, Azure)
- Hands-on experience with data tools, platforms and technologies (Databricks, Fabric, Snowflake, etc.)
- Solid understanding of CI/CD pipelines, automation tools (Terraform, Ansible, GitHub Actions, Jenkins, etc.)
- Proficiency in scripting languages (Python, Bash, PowerShell)
- Some experience with containerization (Docker, Kubernetes, Helm charts)
- Awareness of critical concepts in DevOps and Agile principles and best practices and demonstrated ability and openness to working in an agile environment as part of a scrum team.
WOULD BE A PLUS
- Knowledge of AI/ML workflows and experience supporting ML models in production
- Applied experience as lead, mentor and/ or coach.
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Ansible AWS Azure CI/CD Databricks DevOps Docker Engineering Finance GitHub GitLab Helm Jenkins Kubernetes Machine Learning ML models Pipelines Python Scrum Security Snowflake Terraform
Perks/benefits: Career development Competitive pay Conferences Flex hours Health care Salary bonus Team events
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