data engineering, and AI applications What You Bring Proven experience in Java or a similar OOP stack (e.g., C#, Kotlin, Scala) Strong grasp of REST APIs, microservices, and containerisation (Docker/Kubernetes) Agile mindset with strong software engineering fundamentals Passion for innovation, learning, and leading by example Familiarity with DevOps tools (Git, Maven, Jenkins, CI/CD) Excellent communication and More ❯
approach to process improvement Essential skills include: Proficiency with modern test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong organizational, analytical, problem-solving, and More ❯
systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and More ❯
systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and More ❯
infrastructure, security, and architecture patterns Personal Specification Technical Competencies (Essential): Strong hands-on experience with Golang and Python Proven track record in delivering production systems using AWS, Kubernetes, and Docker Solid understanding of IAM, OAuth2, and secure software development Experience in building and consuming RESTful and GraphQL APIs Confident with SQL and experience with data platforms such as Snowflake Skilled More ❯
and acceptance criteria. Experience with test automation frameworks and tools Experience with performance, security, or load testing Familiarity with database systems and SQL Experience with Kubernetes and/or Docker is a plus. Experience with React.js, TypeScript preferred Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of More ❯
and work experience in AWS. Strong knowledge of authentication and identity-related technologies and protocols is an advantage - e.g. OIDC, OAuth2. Web Technologies and Containerisation : Proficiency in Java Spring, Docker, Kubernetes, with a heavy focus on automation and CI/CD practices. Agile Software Engineering : Strong skills and experience in building software in an agile team. User Story Decomposition and More ❯
a similar role (SRE, Cloud infrastructure/DevOps) An understanding of the SDLC process Familiarity with configuration management tools (Ansible, Puppet) Infrastructure as Code (Terraform) Experience with container technologies (Docker or Podman) Experience with AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS CLI) Familiarity with Continuous Integration Pipelines (GitLab CI, Travis CI, etc.) Proficiency in one or more More ❯
complex engineering issues daily, solving new challenges and improving existing solutions. We work with all major cloud providers (AWS, GCP, Azure) and use cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. Responsibilities Responsible for the entire lifecycle of various short-term projects, from initial design and development to deployment, monitoring, and maintenance in a More ❯
basis, both solving new challenges and constantly improving the existing solutions. We work with all major cloud providers (AWS, GCP, Azure) and use cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. Responsibilities Responsible for the entire lifecycle of various short-life projects, from initial design and development to deployment, monitoring and maintenance in a More ❯
worldwide. What you'll do: Lead design and development of large-scale backend services in Java/J2EE (Spring, Hibernate, REST APIs). Own solution architecture across microservices, containers (Docker/Kubernetes), and cloud-native deployments. Oversee development standards, documentation, mentoring, and quality assurance. Engage in GenAI tooling and integration (e.g. GPT, Claude, GitHub Copilot) Ensure high system performance, maintainability More ❯
Unix commands, Korn shell scripting, and working with RedHat Linux environments Experience using Bitbucket and GitHub Enterprise for version control and collaboration Preferred to have experience/exposure to Docker/OpenShift based container deployment Familiarity with tools like Teamcity/Tekton & uDeploy/Harness for CI/CD automation Experience with SonarQube for code quality analysis and JUnit for More ❯
Core Java experience with strong knowledge of data structures, design patterns, and SOLID principles. Experience with messaging systems like Kafka and Solace. Proficiency in Spring framework and cloud technologies (Docker/Kubernetes/OpenShift). Familiarity with Jira, Bitbucket, and Gradle. Experience with document databases (MongoDB). Experience developing multi-threaded, distributed systems. Experience with testing frameworks like JUnit and More ❯
