Avenga

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

We are looking for a Senior Golang Engineer to join a leading BaaS provider in the UK, underpinned by innovative technology. You will be a part of the high performing team that’s always on the look out for exceptional people. We encourage an inclusive and diverse working environment, where teamwork, input and collaboration is valued no matter your level. The job involves attending office in Warsaw 2 times a month.

This is you

• 5+ years of experience with Golang.
• Strong experience of working with microservices.
• An understanding of Kubernetes / Docker.
• Excellent understanding of AWS (deployment / configuration).
• Experience working on a highly secure application.
• Success delivering within an agile environment.
• Ability to act as a subject matter expert and communicate with clarity and empathy to both technical and non-technical audiences.
• Understanding how to translate business objectives into data driven insight.
• English level - B2 and higher.

Nice-to-have skills:

• Experience working with PHP.
• Slim Framework or similar.
• An understanding of Workflow Engines.
• Experience with E-commerce platforms.

This is your role

• Develop clean, elegant, and reusable code that is well-tested and easy to maintain and extend.
• Work with stakeholders across the business to drive the direction of engineering and put the long-term interests of customers at the heart of key decisions.
• Collaborate across our backend chapter to uphold standards and best practices, and to promote innovation.
• Work collaboratively with the team to resolve technical issues.
• Support and oversee junior engineers and act as a subject matter expert.

What awaits you at Avenga?

• Everyone at Avenga is subject to professional growth via our mentorship program.
• Our specialists get regular performance reviews and technical assessments to identify development plans.
• We stay up to date with the industry by embarking on tech talks, webinars, conferences, and hackathons.
• Avenga cares for its employees’ well-being by providing well-rounded health insurance coverage and fitness compensation programs.
• Our employees’ families are no less important, as we offer maternity aid and financial support for a number of family reasons, including marriage and childbirth.
• The company fosters a sense of professional belonging and an environment of togetherness: we achieve things together and celebrate our milestones.

We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
 

This is the job

We are looking for an AI/ML Engineer to design, develop, and deliver a Proof-of-Concept (PoC) system that validates the use of Distributed Acoustic Sensing (DAS) and Automatic Identification System (AIS) data for detecting intrusions near subsea communication cables.

The solution will analyze acoustic signals from fiber-optic sensing systems together with vessel tracking data to identify potential threats to critical underwater infrastructure. The goal is to provide early warning capabilities, enabling timely intervention and protection of subsea assets.

This is you

• Strong experience in Machine Learning / AI development
• Strong programming skills in Python
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Experience working with time-series data or signal processing
• Experience building ML pipelines for data processing and model training
• Knowledge of anomaly detection and pattern recognition techniques
• Strong analytical and problem-solving skills
• Good communication skills and ability to work in a distributed team

This is your role

• Design and develop machine learning models for analyzing DAS acoustic signals and AIS vessel tracking data
• Build a PoC system for intrusion detection around subsea communication cables
• Develop data processing pipelines for large-scale sensor and geospatial data
• Implement algorithms for anomaly detection and event classification
• Integrate multi-source data (DAS + AIS) for improved detection accuracy
• Perform data exploration, feature engineering, and model evaluation

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

We are looking for a DevOps who will help design, build, and scale modern cloud-native infrastructure while ensuring reliability, automation, and security across the platform.

This is you

• You have 5+ years of experience in DevOps, SRE, or Platform Engineering.
• You have strong hands-on expertise with AWS and/or Kubernetes.
• You have experience building and scaling cloud-native infrastructure.
• You are comfortable implementing automation and CI/CD pipelines.
• You have a strong SRE mindset, focusing on system reliability, performance, and security.
• You are experienced with containerization and modern cloud environments.
• Kubernetes-native or AWS-native application development experience is considered a strong plus.

This is your role

• Design, build, and scale cloud-native infrastructure in AWS and Kubernetes environments.
• Implement and maintain CI/CD pipelines to support efficient and reliable deployments.
• Automate infrastructure and operational processes to improve scalability and efficiency.
• Ensure system reliability, availability, and security using SRE best practices.
• Collaborate with engineering teams to improve platform stability and development workflows.