or pipelines for different projects: • Developing deployment approaches using gitlab pipelines • Building/maintaining components using helm or kustomize • Provide support for application integration into the k8s cluster • Preparing Docker build files Design and Build of Network applications: • Authoring of golang applications against a list of business requirements • Using best practices in software engineering such as SOLID • Produce unit tests More ❯
designing and building complex, data-intensive systems Strong Linux fundamentals Excellent communication skills and a comfort working closely with non-engineering stakeholders Great to have: experience with containerization (e.g., Docker, K8,) and exposure to Golang If this sounds interesting - or if you're simply curious to learn more - reach out for a conversation. The team is actively hiring and will More ❯
a plus i.e. JavaScript, Typescript, etc.) 3. Knowledge in Linux/Unix environment. 4. Experience with version control system git (i.e. BitBucket, GitHub). 5. Cloud fundamentals (i.e. Kubernetes, Docker, Helm) knowledge would be considered a plus. 6. Experience applying Object Oriented Concepts in design/solutions and development. 7. Some experience of SQL queries and RDBMS. 8. Able to More ❯
West London, London, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms Other tech in the stack includes Scala, React, Spring, Oracle, Redis, Kubernetes, Docker and Linux so previous exposure to any of these would be beneficial You're collaborative with good communication skills What's in it for you: As a Software Engineer/ More ❯
findings to clients through written documentation, calls, and presentations Actively seek out new opportunities to learn and develop Be an example of data science best-practice (e.g., Git/Docker/cloud deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as More ❯
findings to clients through written documentation, calls and presentations Actively seek out new opportunities to learn and develop Be an example of data science best-practice (e.g. Git/Docker/cloud deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as More ❯
libraries such as pandas and scikit-learn Tooling & Environment: DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You More ❯
drive our alerting, or coordinating across multiple teams to manage the response to an incident. Our technology stack: AWS (including ECS and RDS), OpenTelemetry, NewRelic, Python, Postgres, Liquibase, Angular, Docker Who you are: Four or more years professional experience in a customer-facing technical support or engineering role Excellent verbal and written communication skills, with an ability to communicate technical More ❯
and integrate AI-powered APIs, scripts, and microservices. Collaborate on backend services and model deployment in dev/test environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase quality. Applied AI Domains Work on projects involving Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where More ❯
benefit Strong communication skills in spoken and written English Bonus points Experience in blockchain products testing and automation Java knowledge Good knowledge of other programming languages Experience with AWS, Docker containers, kubernetes Speaking French is a bonus What's in it for you? Equity: Employees are the foundation of our success, and we award stock options so you can share More ❯
Programming and Distributed Computing to build these services, using Scala, Akka, Kafka, Play and Cats, as well a wide range of cloud-native technologies including AWS (Kinesis, DynamoDB, Lambda), Docker and Serverless. We have a mature DevOps culture in place, where the team is responsible for the infrastructure and deployment of those applications - "You build it, you run it." What More ❯
sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases Experience working in a Unix environment and git Familiarity with Kafka, Docker, AirFlow, Luigi Strong communication skills in verbal and written English. Domain knowledge in futures & swaps is a plus Highly competitive compensation and bonus structure Meritocratic environment with ample opportunity for More ❯
able to demonstrate some of the following: Experience using and operationalising language models in production, especially in multi-agentic systems Experience in deploying and scaling stateful compute workloads using Docker, Kubernetes, Pulumi or other IaC approaches Experience in observability tooling and devops practices Experience with collaborative real-time technologies (CRDTs, Y.js, sync engines, etc.) Interest in writing (fiction, non-fiction More ❯
including review of LL design, troubleshooting, support to developers during build, providing input in defining test strategy, and participating in sprint refinement sessions. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python). Experience working with Kafka and Domain Driven Design. Experience with designing low latency, reliable (fault tolerant), scalable, secure, and cost-effective solutions on More ❯
and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases and data platforms: SQL, NoSQL, Snowflake, Databricks. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY More ❯
skills with the ability to translate technical findings into business insights Nice-to-Have Qualifications: Experience with streaming technologies such as Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering More ❯
systems. Experience with programming languages such as C/C++, Java, Python, etc Knowledge of modern computing concepts like Cloud, Containerization, and micro-services. Familiarity with containerization platforms like Docker and Kubernetes. Excellent problem-solving skills and a keen understanding of computer science. Be part of a team that values diversity and encourages innovative thinking. Work in a fast-paced More ❯
ISO27001 and NIST. Experience with vulnerability detection tools, email security gateways, EDR solutions, and SIEM. Red teaming or pen testing experience is advantageous. Securing DevOps pipelines. Proficiency with containerization (Docker, Kubernetes, Helm). Scripting skills for automation. Strong understanding of network and security concepts. Experience with M365 and Azure tools, AWS security services. Familiarity with Cyber Essentials guidelines and verification. More ❯
as AWS or Google Cloud Platform Nice to have: Experience with Kafka Proven track record of leading large scale data infrastructure in production Experience with container technologies (such as Docker) and orchestration technologies (such as Kubernetes) Experience working in ecommerce or retail industries An understanding of security measures related to ML models ensuring adherence to data privacy regulations YOU (BEHAVIOURAL More ❯
and command line tools. Experience and Qualifications 5+ years experience of Laravel, with at least 2 years at a Senior level. Experience with PHPStan Experience with Ansible Experience with Docker and/or Vagrant Working experience with macOS or Linux systems Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our More ❯
B or shadow testing. - Experience with model monitoring frameworks - Solid knowledge of CI/CD for ML , including automated training and deployment workflows. - Strong Python engineering skills; experience with Docker and orchestration tools is a plus. - Excellent communication and documentation skills, and a strong collaborative mindset. Bonus Points - Experience in startups and/or fintech - Exposure to data privacy , compliance More ❯
business and technical requirements Design and build data pipelines to process terabytes of data Develop and recommend best practice re dataingestion, processing,cleaningand standardizingof data (typically on Azure) Create Docker images for various applications and deploy Design and build tests Troubleshoot production issues Analyze existing Data solutions and recommend automation/efficiency options Work on Proof of Concepts for Big More ❯
of system design decisions and their impact on scalability, resilience, and supportability. Experience with data modelling and understanding of Data Architecture. Exposure to mainframe systems and integration. Familiarity with Docker and container orchestration tools such as Kubernetes. Understanding of authentication and authorisation concepts, including experience designing and implementing zero trust models. Knowledge of enterprise architecture frameworks and resilience-by-design More ❯
design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as Code (Terraform, CloudFormation, or AWS SAM). Demonstrated ability to own and More ❯
