Vacancies

Join our Global FindNewJob Team as an IT Sourcer!

At Global FindNewJob, we’re on a mission to connect talented IT professionals with their dream careers. Our team is passionate about making a difference in people’s lives by helping them find opportunities that match their skills and ambitions. As an IT Sourcer with us, you’ll play an essential role in making these connections happen!

As an IT Sourcer at Global FindNewJob, you will:
-Collaborate with recruiters to understand job requirements and needs;
-Source and engage with top IT talent using various platforms and tools, e.g. Linkedin, GitHub, DOU, X-Ray and Boolean search, etc;
-Build a strong talent pipeline and maintain a candidate pool in CRM;
-Screen and assess candidates to ensure they meet the job criteria.

Qualifications:
-1+ years experience in IT sourcing, using different sourcing tools and techniques or completed IT Sourcer/ Recruiter courses.
-Passion for the technology, IT sourcing and recruitment;
-Strong interpersonal and communication skills;
-Ability to think out of the box;
-Drive and determination to exceed targets.

English level: Intermediate/ Upper-Intermediate

Location: REMOTE

Working schedule: 9:00/10:00 – 17:00/18:00, Mon-Fri

If you’re ready to embark on an exciting journey with a forward-thinking team, apply today! Your expertise in IT sourcing can help us continue connecting great talent with amazing opportunities.

To apply, send your resume and a brief introduction to valentyna.churilova@global-fnj.com/ irina.reshytko@global-fnj.com

Don’t miss this chance to be part of Global FindNewJob’s mission to change lives through the power of IT!

About the role

We invite a senior hands-on engineer with a mindset beyond just writing code — someone who’s ready to design robust SAP BTP IS integrations inside a large-scale enterprise environment. The project is part of a broader digital transformation within a Fortune 500 company that operates in 60 countries and employs over 30,000 people. They work in the nutrition, health, and beauty space — building products that end up in the daily lives of millions around the world.

Requirements:

• 6 + years of proven experience as a Software Engineer in a large enterprise environment

• 3+ years of commercial experience with SAP BTP IS software

• Solid experience with BTP IS Advanced Event Mesh or Solace Event Broker

• 6+ years of experience with other SAP capabilities

• Attitude to learn and grow

• Nutrition or food industry experience is a plus

• Excellent communication skills and problem-solving aptitude

• Upper Intermediate or higher English level (written and spoken)

Responsibilities:

• Implement the EDA foundation using SAP Advanced Event Mesh (build on top of Solace, so anyone with experience in Solace is also applicable)

• Help defining event taxonomy, modeling standards, and topic hierarchy aligned with business domains and platform architecture

• Help defining best practices, patterns, and governance for event producers, consumers, and schema evolution

• Develop and manage events, topics, queues, and subscriptions in SAP AEM

• Implement event producers and consumers in collaboration with application teams

• Configure access control, message filtering, guaranteed delivery, replay, and failover settings

• Support teams in publishing/subscribing to events, building integrations, and troubleshooting

• Create and maintain documentation, event schemas, and lifecycle versioning

• Set up monitoring, alerting, and metrics dashboards

• Ensure robust security, compliance, and auditability of event flows

• Provide internal training, onboarding materials, and developer guidelines

• Regular communication with client(s), gathering requirements and feedback, detecting business and technology opportunities

Project: payment systems that transform how businesses operate. Our enterprise clients trust us to understand their complex processes and turn them into efficient solutions.

You’ll join a team that values…

• Deep understanding of business processes
• Time to think through solutions properly
• Consistent, high-quality execution
• Protected focus time for complex challenges
• Long-term reliability over quick fixes

Responsibilities:

• Design and build robust backends that power business transformation
• Create sophisticated data models that reflect complex business rules
• Develop reliable integrations between modern and legacy systems
• Build powerful APIs that connect disparate business systems
• Implement secure, scalable solutions for business-critical operations

Requirements:

• 10+ years programming experience with Python
• Understanding of APIs (web services)
• Willingness to step forward and suggest ideas, comments, remarks
• Ability to communicate with clients and potential clients.
• Django framework expert
• Django REST Framework and AWS experience are nice to have, but we’re happy to help you with learning them on the job
• Experience building and maintaining large-scale applications
• Excellence in database design and optimization
• Understanding of complex data modeling and migrations
• Clear written communicator that prefers emails to meetings
• Portfolio showing systematic, well-structured work

Project: AI process optimization solutions for oil refineries and chemical plant.

Responsibilities:

● Develop mission-critical software that integrates with and operates production systems

● Develop using Python / Go and utilize its rich ecosystem including the latest frameworks

● Work with high volumes of time series data using best-in-class data analysis frameworks

● Take part in the architecture, design, and implementation of our flagship product

● Measure, analyze, and improve existing code to enhance functionality, performance and robustness

● Take an active role in coding best practices processes such as code reviews, unit testing, and automated test development.

● Work with our algorithms team that develops cutting-edge machine learning algorithms

Requirements: 

● At least 5 years of software development experience

● Experience leading and implementing product features, from definition to production

● Experience with developing and maintaining production enterprise grade systems

● Skilled in writing clean, high quality, solid, maintainable, readable and secure code that scales

● Experience with relational and non-relational databases

● Excellent problem-solving skills and a drive to learn

● Team player, sense of ownership, and sense of urgency

● Comfortable working in Linux

● BA/B.Sc. in Computer Science or equivalent

Advantage: 

● Python – Flask, Numpy, Pandas, TensorFlow, Jupyter

● Advanced CI and DevOps technologies – Kubernetes, Docker, Jenkins

● Experiences with Cloud Microservices architecture (AWS)

● Web frameworks – React, Angular, Flask, Django or others

● Startup experience

● Open source contributions – strong bonus

Project: AI process optimization solutions for oil refineries and chemical plant.

About the role

You, a top-notch DevOps engineer with a proven track record, to help design and bring to production a scalable, microservice-based, deep learning industrial process optimization cloud tools that will scale to support thousands of plants, in what will become a worldwide manufacturing optimization system.

Responsibilities:

• Create and maintain bleeding-edge cloud infrastructure to host services developed in-house (Docker, Kubernetes, Service Mesh)
• Work with architects and developers to create services built on observable, scalable and secure infrastructure
• Deploy monitoring and alerting tools to give dev and support teams insight into how their services function
• Build out CI/CD automation and workflows for new services and maintain workflows for existing services
• Leverage public cloud services and tools to improve the efficiency and reliability of our services and workflows
• Research and integrate new tools

 Our toolbox includes:

• Kubernetes (GKE and EKS)
• Lambda (AWS and GCP Cloud Functions)
• Git
• Docker
• Terraform and Ansible
• Helm
• Python and Bash
• Gitlab, Jenkins

Requirements:

• At least 5+  years as a DevOps Engineer
• Experience developing and maintaining microservice-based SaaS systems
• Experience managing CI/CD tools: Jenkins or GitLab CI or ArgoCD
• Experience with container orchestration, Kubernetes, docker swarm
• Experience with AWS and/or Google Cloud

Advantage:

• Development experience, preferably in Python
• Knowledge of Experience using Istio, LinkerD, or other service mesh tools
• Hands-on production troubleshooting experience
• Experience in maintaining web-based products
• Experience in handling on-premise infrastructure
• Experience building out VPC

Project: AI process optimization solutions for oil refineries and chemical plant.

About the role

We are looking for a passionate and experienced Machine Learning Research Engineer with a deep curiosity for understanding systems and a relentless drive to innovate. This role is perfect for a self-starter who thrives on tackling complex problems, exploring new ideas, and pushing boundaries. We want someone who doesn’t just solve given tasks but proactively envisions and develops new applications, challenges the status quo, and enhances models and methodologies to deliver cutting-edge solutions.

Responsibilities:

• Conduct cutting-edge research to develop new functionalities for our models, expanding Imubit’s core deep reinforcement learning technology.
• Advance the development of AutoML solutions to streamline and enhance machine learning workflows.
• Drive the productization of your research, transforming innovative concepts into impactful, production-ready solutions.
• Design and implement solutions with a focus on scalability, efficient runtime performance, and seamless deployment in production environments.

Requirements:

• MSc in machine learning or related area
• Education in machine learning at the level of advanced academic courses
• At least 4 years of hands-on machine learning experience
• Practical experience with deep learning
• Self-reliant, proactive, with strong motivation and an inquisitive mind

Advantage:

• Experience with deep learning on time series data (Transformers / recurrent models)
• Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
• Experience/education in signal processing/ control theory/ reinforcement learning
• Academic research experience
• Experience in leading projects and mentoring