DevOps Engineer
About NDT Global
NDT Global is the leading provider of inline diagnostic solutions, advanced data insights, subsea inspection, and integrity management services that safeguard energy\-sector infrastructure. The company is recognized for its expertise in both ultrasonic inspection technologies—such as Pulse Echo, Pitch\-and\-Catch, Phased Array, and Acoustic Resonance (ART Scan)—and ultra\-high\-resolution Magnetic Flux Leakage (MFL) inspection services. These differentiated offerings, along with non\-ultrasonic technologies like Inertial Measurement Units and others in development, enable NDT Global to deliver comprehensive asset integrity solutions.
Innovation is at the core of NDT Global's mission. We continuously challenge the boundaries of existing technologies to deliver transformational solutions that empower the industry to achieve safer, more cost\-effective pipeline management. Our commitment to research and development drives the creation of vital new methods and tools that address the evolving needs of our customers while setting new industry standards.
By strategically applying inspection technologies to detect, diagnose, and model various types of threats, NDT Global provides predictive, decision\-ready insights. These insights, driven by the world’s most accurate data, enable asset owners to optimize infrastructure health, drive operational efficiencies, reduce risk, and minimize their carbon footprint
Purpose:
The goal of the DevOps Engineer Big Data is to build and maintain reliable and scalable systems for Big Data processing. Develop scripts and tools to automate deployment tasks and monitor critical aspects of the operation, resolve engineering problems and incidents. Collaborate with developers to help create platforms for the future. Work closely with Big Data and Software engineers to understand our applications and keep them running smoothly.
Responsibilities:
- Infrastructure planning and maintenance in the Big Data and Software environments
- Mentors, supports, and coaches colleagues, Data Scientists, Data Engineers and Software Engineers, regarding infrastructure topics
- Find ways to automate tasks, monitor and to continuously improve our systems
- Documents the work for the developed solutions and maintain consistency of information
- Make the infrastructure resilient and efficient
- A bachelor's degree in computer science, Engineering or related education or experience
- Experience working as DevOps Engineer, Site Reliability Engineer or Systems Engineer
- Proficiency working with Linux systems and scripting languages (Bash, Python)
- Experience with Docker and Kubernetes environments (OKD, Openshift, Rancher)
- Experience working with distributed systems and high availability technologies
- Experience working with Ceph or other distributed storage systems will be valued
- Experience working with on\-premise infrastructure or hybrid environments will be valued
- Experience working in cloud environments (AWS or Azure) will be valued but not required
- Experience working on infrastructure for Big Data will be valued
- Proven ability to design, build, and maintain scalable infrastructure for Big Data and Software environments
- Skilled in leveraging monitoring systems for getting insights on reliability and performance
- Decisive in solving infrastructure incidents and diagnosing technical problems
- Strong collaboration skills to work with architects, developers, and cross\-functional teams
- Capable of documenting solutions, communicating ideas and knowledge
- Ability for learning and adapting to technology changes
- Committed to building resilient and efficient infrastructure
- Hybrid type of work
- Family\-friendly and flexible working hours
- Pension plan
- Health and Dental Insurance
- International and multicultural work environment
- Challenging and versatile tasks with creative freedom
- Company activities during the year promoting opportunities to create cohesion with work colleagues (teambuilding activities, external training, Christmas party and gift exchange)
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