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As our new Senior Linux Systems Administrator, you will join a team of talented engineers, which is responsible for delivering mission-critical ultra-low latency services to millions of clients across the world. You will participate in automating, securing, ensuring highest availability of the infrastructure, and assisting the team to improve operational efficiency.&nbsp;&nbsp;The main responsibilities of the position include:<ul><li>Oversee and manage our entire Linux-based platform infrastructure, leading the planning, design, implementation, and automated maintenance of system-level software and infrastructure</li><li>Design and develop complex, scalable, and highly available system architectures</li><li>Perform continuous health monitoring, improve the stability/performance of the Linux Systems and troubleshoot issues that may arise</li><li>Stay at the forefront of industry trends and emerging technologies, providing strategic insights to optimize our infrastructure and operations</li><li>Produce and maintain high-quality technical documentation related to system architectures, processes, and incident reports</li><li>Liaise with cross-functional teams, including Application Support (SRE), Development, Security and vendors to deliver optimum and secure solution</li><li>Provide technical leadership and mentorship to a team of engineers, promoting best practices in Linux system administration, architecture and security</li><li>Participate in teams on call rotation</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Information Technology, or a related field; or equivalent work experience</li><li>3+ years of Linux Systems administration; deep knowledge and experience with RedHat based Operating Systems&nbsp;</li><li>Expertise with shell command line usage, scripting, using automation&nbsp;</li><li>Deep understanding of Linux kernel, system internals, tuning, performance optimization, and debugging</li><li>Strong knowledge of network protocols and principles, including multicast, TCP/IP, DHCP, NTP and DNS</li><li>Hands-on experience in administering, provisioning, configuring, tuning and monitoring of application web servers (Apache / Nginx), databases (SQL and NoSQL), logging (ELK) and HA systems (HAProxy)&nbsp;</li><li>Experience with the best practices of virtualised and/or containerised environments (VMware / VirtualBox / Docker)&nbsp;</li><li>Experience with technologies and methodologies of CI/CD processes (GitLab / Jenkins)&nbsp;</li><li>Self-driven, with ability to take ownership of issues and follow them through to complete resolution&nbsp;</li><li>Ability to use own initiative, prioritise tasks and work either independently and / or within a team&nbsp;</li><li>Strong technical documentation abilities&nbsp;</li><li>Excellent verbal and written English communication skills&nbsp;</li><li>Excellent problem-solving skills and strategic thinking with a focus on innovation and process improvement.</li></ul>The following will be considered an advantage:<ul><li>RHEL / LPI Certification&nbsp;</li><li>Experience with Content Delivery Networks (AWS CloudFront / Akamai Ion)&nbsp;</li><li>AWS Certification&nbsp;</li><li>Terraform/ Ansible experience</li><li>Expertise with container technologies like Docker and orchestration platforms like Kubernetes</li></ul>Benefit from:<ul><li>Attractive remuneration package plus performance related reward&nbsp;&nbsp;</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>The Hiring Experience: What Awaits You<ul><li>Show Your Skills – Online Technical Challenge</li><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Deep Dive – First Interview with Your Future Team</li><li>Final Connection – Final Interview</li></ul>

Senior Linux Systems Administrator

As an automation QA engineer, you will join an amazing team who are committed to improving product quality. In this role, you will focus on product quality assurance while considering functionality, performance, security, GUI and many other factors.You will use Java/Kotlin, Selenium, Selenide, REST Assured, TestNG, Gradle, Git, TestRail, and Jenkins while performing automation testing for either web or mobile applications.Working within the existing testing environment, you will have the chance to create testing suites from scratch. Our team will help you reach your full potential while you work with cutting edge technologies on challenging projects.The main responsibilities of the position include:<ul><li>Closely collaborate with the development team to help deliver high quality software</li><li>Understand and translate business requirements to technical requirements</li><li>Enhance software delivery and quality throughout the entire Software Development Life Cycle</li><li>Perform automated functional and performance testing</li><li>Design and develop the test automation framework, implement required libraries, and conduct auto-tests</li><li>Maintain CI pipelines and integrate automated scripts into CI tools</li><li>Manage any issues that may arise and drive resolutions throughout the testing process</li><li>Actively participate in the Software Development Life Cycle and Software Testing Life Cycle</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science</li><li>Minimum 2 years’ experience in quality assurance and test automation (functional GUI and API)</li><li>Practical experience in automation testing with Java (Selenium, REST Assured, or similar for mobile automation) is a must</li><li>Experience in writing queries for SQL and NoSQL databases</li><li>Experience in agile software development methodologies and testing procedures</li><li>Strong interpersonal and organisational skills&nbsp;</li><li>Committed to excellence, continuous improvement, and to achieving the best results</li><li>Excellent written and verbal skills in English</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li><li>Attractive relocation package and support for a smooth relocation for you and your family</li></ul>The Hiring Experience: What Awaits You<ul><li>Show Your Skills – Online Technical Challenge</li><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Deep Dive – First Interview with Your Future Team</li><li>Final Connection – Final Interview</li></ul>

QA Software Test Automation Engineer (Java)

We are looking for a talented SDET (Software Development Engineer in Test) - Python to join our QA team. You will work with world class specialists in a friendly, supportive and open-minded environment on challenging goals that will help you to grow professionally and achieve new technical levels. This role will focus on improving and monitoring product quality via test automation framework development and test coverage extension for functional and performance suits. You will work with the most valuable part of the product - a Forex brokerage core. If you enjoy working with pure API, Python, cutting-edge technologies, Kafka and AWS, this role is for you.The main responsibilities of the position include:<ul><li>Work in close cooperation with the development team to enhance software delivery and quality throughout the entire software development cycle</li><li>Understand and translate high level business requirements to technical requirements</li><li>Advise on efficient performance testing strategies for enhancing delivery and quality throughout the full software development cycle</li><li>Develop formal test procedures and test plans from internal product design documentation as well as from external certification requirements</li><li>Design, develop and modify functional and performance automation tests</li><li>Design and implement test automation framework, required libraries and auto-tests</li><li>Develop emulators for mobile testing</li><li>Build CI/CD pipelines and integrate automation scripts into CI tools</li><li>Manage any issues that may arise and drive resolutions throughout the testing process</li><li>Share technical expertise with the rest of the QA team&nbsp;</li><li>Actively participate in the Software Development Life Cycle and Software Testing Life Cycle&nbsp;</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Software Engineering or similar</li><li>Minimum 2 years of comprehensive experience in quality assurance</li><li>Minimum 2 years of practical experience in Python development</li><li>Strong hands-on experience in designing and developing automated tests using Python</li><li>Strong technical background</li><li>Experience in testing REST API</li><li>Confident knowledge of Git</li><li>Experience in agile software development methodologies and testing procedures</li><li>Strong interpersonal skills</li><li>Very good written and verbal skills in English&nbsp;&nbsp;</li></ul>The following will be considered an advantage:<ul><li>Experience with testing framework development</li><li>Experience with asynchronous and multithreading programming</li><li>Experience in testing web sockets</li><li>Experience with Docker</li><li>Experience with&nbsp;Grafana</li><li>Experience in performance testing</li><li>Experience in the Finance/Forex domain&nbsp;</li></ul>Benefit from:<ul><li>Attractive remuneration package plus performance related reward</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li><li> </li></ul>The Hiring Experience: What Awaits You<ul><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Deep Dive – First Interview with Your Future Team</li><li>Final Connection – Final Interview</li></ul>

Software Development Engineer in Test (Python)

We are looking for high-caliber and experienced Senior Agile Coach to join our Project Management Department. The Senior Agile Coach drives enterprise-wide agility by guiding teams and leaders through lean-agile transformation. The role spans multiple teams, focusing on assessing agile maturity, improving delivery practices, and solving execution challenges. It combines coaching, facilitation, and mentorship to influence change at all organizational levels and align agile adoption with strategic goals.The main responsibilities of the position include:<ul><li></li></ul><ul><li>Serve as an advisor, coaching leaders and teams on adopting agility within their environment. Craft and lead effective Agile transformation strategies for the organization.</li><li>Develop and execute change management plans, identifying potential resistance and designing strategies to mitigate risks.</li><li>Offer education, mentorship, and guidance to development teams, architects, management, and business partners by clarifying roles, responsibilities, and best practices.</li><li>Apply a broad range of proven patterns and techniques to address gaps in Agile practices, helping the organization realize the benefits of agility through innovative operating models that enhance responsiveness.</li><li>Assess organizational Agile maturity and guide teams and leadership toward higher levels of maturity at a sustainable pace.</li><li>Lead the organization’s use of comprehensive Agile metrics, focusing beyond delivery to customer outcomes and business impact, maintaining transparency through dashboards and team tools.</li><li>Develop and deliver training content on Agile, Scrum, Kanban, and other practices tailored for both beginners and advanced practitioners.</li><li>Drive the formation of an Agile Center of Excellence within the organization, applying industry best practices and standards.</li><li>Collaborate with leadership to shape and execute the Enterprise Agile strategy, fostering a culture of continuous learning and improvement.</li><li>Lead change initiatives for processes and people by communicating the vision, creating clarity, celebrating progress, and establishing new behaviours.</li><li>Provide hands-on guidance and mentorship to teams and Scrum practitioners, supporting leadership as they evolve to a modern operating model.</li></ul>Main requirements:<ul><li></li></ul><ul><li>BSc/MSc in Engineering, Communications, Business, Technology, or a related field.</li><li>5+ years of relevant experience; within a large-scale Agile environment.</li><li>Possesses entrepreneurial drive, capable of creating the right environment and practices for agility.</li><li>Deep technical and business knowledge across multiple domains and processes.</li><li>Certification in at least one of the following: A-CSM, PSM2, CSP-SM.</li><li>Familiarity with scaled Agile frameworks (e.g., SAFe, LeSS, etc.).</li><li>Ability to build and nurture strong relationships with senior technical leaders, executive teams, and key business partners.</li><li>The ability to identify process deficiencies and suggest improvements based on knowledge and experience.</li><li>Strong organizational change management skills.</li><li>A hands-on, professional, detail-oriented approach that strives for excellence.&nbsp;&nbsp;</li><li>Strong written and verbal communication for coordinating with team members, stakeholders, and management.</li><li>Strong interpersonal and teamwork skills.&nbsp;</li><li>Strong leadership skills and the ability to stay motivated and work effectively under pressure.</li></ul>Benefit from:<ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>The Hiring Experience: What Awaits You<ul><li></li></ul><ul><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Deep Dive – First Interview with Your Future Team</li><li>Final Connection – Final Interview</li></ul>All applications will be treated with strict confidentiality!

Senior Agile Coach

We are seeking for skilled and motivated Data Engineers to join our dynamic Business Intelligence and Data Science teams. The successful candidates will work with leading experts on cutting-edge projects relating to the definition and development of efficient big data structures, data cleansing techniques and design and optimisation of data infrastructure and pipelines.&nbsp;&nbsp;The main responsibilities of the position include:<ul><li>Understand data requirements and develop efficient data models and structures.</li><li>Design, build, and maintain scalable and reliable data structures, pipelines and processes.</li><li>Execute queries in both relational and non-relational databases.</li><li>Collaborate with cross-functional teams to define and enforce data governance policies and data security best practices.</li><li>Monitor, troubleshoot and resolve issues regarding data quality, data pipeline failures, and data infrastructure.&nbsp;</li><li>Stay up to date with emerging trends and technologies in the data engineering and data management field and recommend innovative solutions to enhance our data infrastructure and processes.</li><li> </li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Physics/Science, Engineering, Mathematics or other relevant field</li><li>Experience in data manipulation and big-data processing frameworks will be considered an advantage</li><li>Good knowledge of SQL and experience with relational databases will be considered an advantage</li><li>Familiarity with ETL processes, data warehousing concepts, and related technologies will be considered an advantage</li><li>Programming experience with Python or any high-level programming language will be considered an advantage</li><li>Experience with Unix/Linux will be considered an advantage</li><li>Good knowledge of data visualisation techniques</li><li>Self-motivation and passion for working with data</li><li>Eagerness for continuous professional development</li><li>Excellent problem-solving and analytical skills with attention to detail</li><li>Strong communication and collaboration skills to work effectively in a team environment</li><li>Excellent verbal and written communication skills in English</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>The Hiring Experience: What Awaits You<ul><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Test your edge – Aptitude Assessment</li><li>Deep Dive – First Interview with Your Future Team</li><li>Bring It to Life – Role-Specific Take-Home Task</li><li>Final Connection – Final Interview</li></ul>

Data Engineer

We are looking for an enthusiastic Junior Data Scientist to join the activities of our team. The candidate will have the opportunity to work on cutting edge projects by performing in-depth analysis on big data. The successful candidate will join a friendly team of leading experts in the field of Data Science and expand their knowledge in a pleasant and inspiring environment.The main responsibilities of the position include:<ul><li>Execute queries in both relational and non-relational databases.</li><li>Perform data cleansing and preprocessing.</li><li>Analyze and resolve data issues.</li><li>Perform ad-hoc reporting where is needed</li><li>Collaborate with cross-functional teams to understand business requirements.</li><li>Performing exploratory data analysis to identify patterns and trends.</li><li>Assess the performance of the models developed by the Data Scientists</li><li>Communicate results with the rest of the team&nbsp;</li></ul>Main requirements:<ul><li>University degree in Computer Science, Data Science or related field.</li><li>At least 1 year of experience with Python-based libraries, such as Pandas, NumPy and Polars for data wrangling and preprocessing.</li><li>Strong foundation in Python, with the ability to write clean and efficient code for production-ready projects and scalable solutions.</li><li>Fundamental knowledge or exposure to Machine Learning and Natural Language Processing (NLP) concepts.</li><li>Experience with data visualization tools and libraries in Python (e.g., Matplotlib, Seaborn, Plotly).</li><li>Willingness to learn and stay up to date with emerging data science trends and new technologies.</li><li>High attention to detail.</li><li>Ability to work in a team.</li><li>Strong analytical and problem-solving skills.</li><li>Self–motivation and passion to work with data.</li><li>Eagerness for continuous professional development.</li><li>Excellent verbal and written communication skills in English.</li></ul>The following will be considered an advantage:<ul><li>Familiarity with SQL queries. Experience with MongoDB queries and the aggregation framework.</li><li>Familiarity with Unix/Linux.</li><li>Basic understanding of AWS services</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>The Hiring Experience: What Awaits You<ul><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Deep Dive – First Interview with Your Future Team</li><li>Bring It to Life – Role-Specific Take-Home Task</li><li>Final Connection – Final Interview</li></ul>

Junior Data Scientist

We’re looking for a talented and driven Machine Learning Engineer to join our dynamic team and help build cutting-edge AI solutions. If you have a strong background in machine learning, data science, and software engineering and a passion for developing scalable, high-performance AI-driven systems, this is your chance to work on exciting challenges in a collaborative environment. Join us and be part of something amazing!The main responsibilities of the position include:<ul><li>Deploy machine learning models and integrate AI tools into production systems.</li><li>Optimise and fine-tune models for performance, scalability, and efficiency.</li><li>Collaborate with data engineers and data scientists to develop and maintain data pipelines, working with large datasets to prepare data for model training and evaluation.</li><li>Stay up to date with the latest advancements in machine learning and AI technologies.</li><li>Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.</li><li>Set up pipelines for A/B testing of different model variations to evaluate performance and enhance model effectiveness.</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Data Science, Machine Learning, or a related field.</li><li>3+ years of experience in machine learning/AI and DevOps/MLOps.</li><li>Strong programming background with proven experience in Python and other languages.</li><li>Experience with data structures, algorithms and ETL/ELT procedures.</li><li>Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.</li><li>Knowledge of containerization and model deployment using Docker.</li><li>Experience working with CI/CD pipelines using tools like Jenkins and GitLab CI.</li><li>Familiarity with task orchestration tools such as Airflow, Kubeflow, and MLflow.</li><li>Understanding of cloud computing platforms (AWS, GCP, or Azure) and big data ecosystems.</li><li>Experience with monitoring and logging solutions such as Prometheus, Grafana, CloudWatch, and the ELK Stack.</li><li>Strong problem-solving skills and the ability to work in a collaborative team environment.</li><li>Fluency in English Language</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

Machine Learning Engineer

As a Cloud Engineer, you will be one of the main gears of the deployment engine within our team. Solutions, projects, deep troubleshooting along with investigations will be your focus areas. If you are an engineer looking to learn and grow within cloud services, processes and methodologies then we have a place for you in our team.The main responsibilities of the position include:<ul><li>Honor and practice Well Architected Framework across all tasks and responsibilities</li><li>Research workloads for migrating it them to the cloud, with minimal interruption and impact</li><li>Participate in cloud migration projects</li><li>Assist in re-platform and re-factor of current cloud infrastructure</li><li>Assist IT departments and teams with their cloud infrastructure</li><li>Participate in evaluation of deployments and creating a risk register of cloud deployments and resources</li><li>Participatenin definition of fair use policies and best practices for cloud services while complying to the company’s standards</li><li>Drive requests for new technologies, services or solutions required from internal customers</li><li>Deploy, document and orchestrate Proof-of-Concepts (PoCs) and Solutions for internal customers in compliance with the company’s framework</li><li>Follow and provide training regarding new and current technologies and services used</li><li>Have an understanding of cloud costs</li></ul>Main requirements:<ul><li>University degree in Computer Science, Engineering or a similar discipline</li><li>2+ years of cloud services experience preferably on AWS cloud</li><li>Moderate knowledge in solution design and deployment projects</li><li>Understanding Well Architected Framework</li><li>Methodical troubleshooting of issues</li><li>Experience in AWS technologies, services and ecosystem</li><li>Organisation, Documentation and Time Management skills</li></ul>The following will be considered an advantage:<ul><li>Experience in Linux OS and Network</li><li>Exposure to scripting languages such as Python or Go</li><li>Knowledge of Infrastructure as Code (IaC) concepts and tools, preferably HCL</li><li>Knowledge of Terraform and AWS CloudFormation</li><li>Experience with versioning tools such as git</li></ul>Benefit from:<ul><li>Attractive remuneration package plus performance-based reward</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>The Hiring Experience: What Awaits You<ul><li>Show Your Skills – Online Technical Challenge</li><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Deep Dive – First Interview with Your Future Team</li><li>Final Connection – Final Interview</li></ul>

Cloud Engineer

We are looking for a skilled MLOps Engineer to join our team and play a key role in bridging the gap between our Data Science and Infrastructure teams. You will be responsible for supporting the Data Science team in MLOps-related tasks while also helping in DevOps initiatives, including CI/CD pipeline creation, provisioning of cloud resources using tools like Terraform, and Kubernetes orchestration. You will collaborate closely with data scientists and engineers to deploy data pipelines, train machine learning models, and manage their deployment within scalable cloud environments while ensuring high performance, security, and reliability throughout the ML lifecycle.The main responsibilities of the position include:<ul><li></li></ul><ul><li>Assist in designing, implementing, and maintaining scalable MLOps pipelines on AWS using services such as&nbsp;SageMaker,&nbsp;EC2,&nbsp;EKS,&nbsp;S3,&nbsp;Lambda&nbsp;and other relevant AWS tools</li><li>Coordinate with our platform team to troubleshoot&nbsp;Kubernetes&nbsp;clusters (EKS) to orchestrate the deployment of machine learning models and other microservices</li><li>Develop and maintain CI/CD pipelines for model and application deployment, testing, and monitoring</li><li>Collaborate closely with Data Science, and DevOps team to streamline the model development lifecycle, from experimentation to production deployment</li><li>Implement security best practices, including network security, data encryption, and role-based access controls within the AWS infrastructure</li><li>Monitor, troubleshoot, and optimize data and ML pipelines to ensure high availability and performance</li><li>Set up and manage model monitoring systems for performance drift, ensuring continuous model improvement</li></ul>Main requirements:<ul><li></li></ul><ul><li>Bachelor’s degree in Computer Science, Engineering, or related field</li><li>1+ years&nbsp;of hands-on experience in MLOps, DevOps, or related fields</li><li>Knowledge and preferable working experience in&nbsp;AWS services&nbsp;for machine learning, such as&nbsp;SageMaker,&nbsp;EKS,&nbsp;S3,&nbsp;EC2,&nbsp;Lambda, and others</li><li>Exposure to&nbsp;Kubernetes&nbsp;for container orchestration</li><li>Experience with&nbsp;Docker</li><li>Exposure to infrastructure-as-code tools such as&nbsp;Terraform&nbsp;or&nbsp;CloudFormation</li><li>Familiarity with CI/CD tools such as&nbsp;GitLab CI</li><li>Understanding machine learning model lifecycle</li><li>Familiarity with monitoring and logging solutions like&nbsp;Prometheus,&nbsp;Grafana,&nbsp;CloudWatch&nbsp;and ELK&nbsp;Stack</li><li>Understanding of networking concepts and cloud security best practices</li><li>Proficiency in&nbsp;Python&nbsp;and&nbsp;Bash, and comfortable working in&nbsp;Linux environments</li><li>Strong problem-solving and communication skills</li></ul>The following will be considered an advantage:<ul><li></li></ul><ul><li>Experience working with&nbsp;serverless&nbsp;architectures and event-driven processing on AWS</li><li>Familiarity with advanced Kubernetes concepts such as&nbsp;Helm&nbsp;</li><li>Experience with&nbsp;Data Engineering&nbsp;pipelines, ETL processes, or big data platforms</li><li>Experience with ML frameworks like&nbsp;TensorFlow, PyTorch&nbsp;and&nbsp;Keras</li><li>Experience with ML platforms like&nbsp;Kubeflow&nbsp;and/or&nbsp;SageMaker</li><li>Experience with workflow engines like&nbsp;Argo Workflows&nbsp;and/or&nbsp;Airflow</li></ul>Benefit from:<ul><li></li></ul><ul><li>Attractive remuneration package plus performance related reward</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>The Hiring Experience: What Awaits You<ul><li></li></ul><ul><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Deep Dive – First Interview with Your Future Team</li><li>Final Connection – Final Interview</li></ul>All applications will be treated with strict confidentiality!

MLOps Engineer

As a senior engineer, you will also take ownership of specific domains or projects within the business, leading technical direction and ensuring alignment with strategic goals. You will play a key role in mentoring and overseeing other engineers, fostering collaboration, sharing best practices, and helping to drive continuous improvement across the team.The main responsibilities of the position include:<ul><li>Collaborate with the development teams to plan, deploy and administer applications running on AWS and Kubernetes</li><li>Maintain the AWS infrastructure using Infrastructure as Code principles and Terraform</li><li>Initiate and drive the adoption of technologies and use of good patterns for development and operations</li><li>Mentoring and overseeing other engineers</li><li>Lead and manage specific technical domains or projects, ensuring architectural consistency, scalability, and alignment with business objectives</li><li>Oversee and improve engineering processes and practices, identifying opportunities for automation, optimization, and enhanced system reliability</li><li>Implement and oversee cloud migration projects</li><li>Provide guidance for re-platform and re-factor of current cloud infrastructure</li><li>Communicate to the senior leadership, the cloud migration projects progress</li><li>Preserve business continuity 24/7 with minimum downtime and financial impact</li><li>Investigate and perform regular assessments of cloud deployments in compliance with the company’s standards and best practices</li><li>Ensure the Company’s deployment standards and pillars are followed in cloud solutions and resources</li><li>Stay up to date with the latest tools and trends in the industry</li><li>Follow and provide training regarding new and current technologies and services used</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, or a similar discipline</li><li>Overall knowledge of solution design and deployment projects</li><li>Experience with Docker</li><li>Experience in or knowledge of CI/CD with GitLab and/or Jenkins</li><li>Experience in AWS technologies, services and ecosystem</li><li>Experience with Kubernetes</li><li>Knowledge of Infrastructure as Code (IaC) concepts and tools, preferably Terraform</li><li>Experience with versioning tools such as Git</li><li>Distinctive organisation and documentation skills</li><li>Excellent time management skills</li><li>Essential Linux and Windows admin, networking and scripting skills</li></ul>Benefit from:<ul><li>Attractive remuneration package plus performance-based reward</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

Senior Application DevOps Engineer

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