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Location
In office (Sofia)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 23, 2026. DXC Technology scores B on the Alion truth index.

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DXC Technology is an American information technology services company formed in 2017 by merging Computer Sciences Corporation with the enterprise services division of Hewlett Packard Enterprise. It runs and modernises the IT estates of large organisations, covering cloud and infrastructure operations, application management, security services, and industry software for insurance, banking and healthcare clients across some seventy countries. Headquartered in Ashburn, Virginia and listed on the New York Stock Exchange, the company has spent recent years shrinking legacy outsourcing revenue while trying to grow consulting and engineering work.

Job Description:

About DXC Bulgaria

We are DXC - a Fortune 500 global IT services leader.

In Bulgaria, we are among the largest IT employers, delivering the full spectrum of the company’s diverse technical portfolio.

Our teams work across cutting-edge technologies, contributing to projects that span industries and geographies.

We foster continuous learning and professional growth, offering access to targeted training and certifications aligned with individual interests and career aspirations. Our culture of collaboration, innovation, and shared values empowers professionals to grow and succeed.

About the Role

We are looking for an experienced DevOps Engineer to support production environments hosting machine learning and data science applications.

In this role, you will focus on the reliability, stability, and performance of Kubernetes-based infrastructure across Windows and Linux environments, including on-premises systems. You will manage and troubleshoot Kubernetes clusters, support production deployments, implement monitoring and alerting, and automate operational activities.

While exposure to Python and machine learning environments is beneficial, this is primarily an infrastructure, Kubernetes, and production operations role.

Daily Challenges

  • Maintain and support machine learning applications running on Windows and Linux servers in on-premises environments.
  • Manage, monitor, and troubleshoot Kubernetes clusters hosting deployed ML/data science workloads.
  • Support reliable deployment and operation of models in production environments.
  • Implement and maintain monitoring and alerting solutions using DataDog to ensure system health and performance.
  • Debug and resolve issues in production environments using monitoring tools and operational best practices.
  • Automate operational tasks to improve reliability, scalability, and maintainability.
  • Ensure best practices in security, performance, and availability for Kubernetes-hosted applications.
  • Document system architecture, deployment processes, and troubleshooting guides.
  • Collaborate with engineers and stakeholders to ensure smooth operation of production systems.

eXperience and Skills Required

  • Proven experience working with Windows and Linux operating systems in production environments.
  • Hands-on experience managing on-premises servers, Kubernetes clusters, and Docker containers.
  • Strong understanding of Site Reliability Engineering or DevOps practices.
  • Familiarity with monitoring and debugging tools, e.g. DataDog.
  • Ability to troubleshoot complex issues in distributed systems.
  • Experience with CI/CD pipelines for application deployment.
  • Familiarity with AWS cloud platforms.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Preferred Qualifications
    • Experience supporting production machine learning or data science model deployments.
    • Basic understanding of Python for operational support or scripting.
    • Familiarity with OT/IT data bridging, utilizing Ignition to stream robotics and PLC telemetry into cloud environments or enterprise time-series databases (e.g., InfluxDB, Prometheus, AWS Timestream).
    • Familiarity with ML model lifecycle concepts is a plus, but not required.
  • The position follows a regular working schedule from 13:00 to 22:00.

Company Benefits

At DXC Technology, we don’t just offer jobs - we build careers. Here’s what you can look forward to when you join us:

  • Enjoy competitive compensation and grow your career in a fast-paced, international environment.
  • Benefit from 24 days of paid vacation to rest, explore, and recharge - plus comprehensive medical and life insurance, and monthly food vouchers to support your lifestyle.
  • Access premium learning platforms, get company-sponsored certifications, and grow your skills with continuous development opportunities tailored to you.
  • Get recognized through our Employee Recognition Program - your contributions deserve the spotlight.
  • Refer great talent through our Employee Referral Program and get rewarded for helping shape our future.
  • Enjoy discounts and special offers with your employee badge - it pays to be part of the team.
  • Access 24/7 support for you and your family, with a wide range of wellbeing resources to help you thrive.
  • Join meaningful initiatives that give back to the community and connect you with like-minded colleagues through fun and impactful experiences.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.

We’re committed to fostering an inclusive environment where everyone can thrive.

If you feel comfortable with the above-mentioned requirements, please send us your CV in English. Please note only shortlisted candidates will be contacted.

DXC Technology stands for equal opportunities, namely, we do not discriminate on the basis of race, religion, color, sex, age, disability, or sexual orientation. All recruitment decisions are based solely on qualifications, skills, knowledge and experience, and relevant business requirements

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

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