with DevOps practices and tools. Strong knowledge of load balancing, CDN options, and cloud vendors (e.g., Azure). Experience with database administration (MYSQL, MSSQL, PostgreSQL, etc.). Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Strong troubleshooting and problem-solving skills. Experience with ITIL processes and service management. Excellent communication and reporting skills. As an equal opportunities' employer More ❯
distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement More ❯
databases) Proficient in Kubernetes (EKS preferred), including RBAC, autoscaling, and Helm-based deployment Solid experience designing and maintaining CI/CD pipelines (Jenkins, Azure DevOps Pipelines, etc.) Familiarity with containerisation using Docker and secure image management Scripting or programming experience in Bash, Python, or TypeScript Strong understanding of GitOps practices and infrastructure lifecycle management Desirable Skills Experience with observability tooling More ❯
Proven ability to design and scale service-oriented, event-driven systems Experience with CI/CD pipelines, automated testing, and infrastructure as code (e.g. Terraform) Hands-on knowledge of containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP or Azure) Skilled in cross-functional collaboration and stakeholder communication Strong analytical skills with a proactive, problem-solving mindset Experience in high-availability More ❯
and Spring Boot, ensuring best practices in modularity, resilience and maintainability Cloud & Infrastructure: play a crucial role in our cloud infrastructure with Kubernetes (K8s) on AWS, leveraging Docker for containerisation API Development: develop and optimise RESTful APIs to support our frontend applications built with React and TypeScript Platform Integration: ensure seamless integration of our platform with third-party systems used More ❯
as C#, Python, Perl, Java, C++ CICD tools such as Azure DevOps, GitHub Actions, Gitlab, Jenkins, TeamCity Scripting languages such as PowerShell, bash Observability/Monitoring: Prometheus, Grafana, Splunk Containerisation tools such as Docker, K8S, OpenShift, EC, containers Analytical and creative approach to problem solving We encourage you to apply , even if you don't meet all of the requirements. More ❯
software solutions that meet client expectations Experience with cloud platforms such as AWS, Azure or Google Cloud Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration Knowledge of software security principles and best practices Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site More ❯
in TypeScript and React. Solid grounding in database management across both relational and NoSQL environments. Strong knowledge of CI/CD tools such as GitHub Actions or Jenkins, alongside containerisation with Docker or Kubernetes. At least 6 years in software engineering, including proven success in architecture and leading technical teams. Background in SaaS development (exposure to sustainability or ESG domains More ❯
/CD & GitOps Maintain and optimizeinfrastructure, Pipeline-as-Code and shared libraries (e.g. Teamcity, Jenkins). Implement AI deployments and workflows ( e.g. GitOpsworkflows usingArgoCDorFluxCDfor Kubernetes-based AI deployments). Containerization & Orchestration Containerize AI applications usingDockerand manage deployments onKubernetesclusters (EKS, AKS, on-prem). UseHelm, ingress controllers, and service meshes to manage complex deployments. Security & Compliance Integrate security tools such as More ❯
JavaScript, etc.). Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) Strong understanding and experience of AI and MLE platforms and approaches (e.g., MCP, A2A, etc) Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of DevOps practices and tools. Experienced in SCRUM/Lean Agile frameworks with an MVP/iterative approach Ability to influence, take More ❯
systems. Excellent problem-solving abilities, strong communication skills, and a collaborative mindset. What makes you stand out: Experience in the financial services industry, particularly in trading systems. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Understanding of DevOps practices and CI/CD pipelines. Certifications in relevant technologies or cloud platforms. Education : Bachelor's or Master More ❯
a DevOps or Site Reliability Engineering role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on More ❯
frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud More ❯
secure. Requirements Technical proficiency Must haves: Deep understanding of DevOps principles, practices and tooling Expertise in AWS Expertise in using tools like Terraform to manage infrastructure configuration Expertise with containerisation and orchestration tools like Docker and Kubernetes Knowledge of building and maintaining CI/CD pipelines for efficient software delivery. Nice to have: Coding skills in Python Knowledge of other More ❯
ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation) • Strong understanding of data modelling and system architecture • Demonstrable experience on at least one More ❯
with DevOps practices and tools. Strong knowledge of load balancing, CDN options, and cloud vendors (e.g., Azure). Experience with database administration (MYSQL, MSSQL, PostgreSQL, etc.). Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Strong troubleshooting and problem-solving skills. Experience with ITIL processes and service management. Excellent communication and reporting skills. Preferred technical and professional experience More ❯
depth knowledge of PostgreSQL database internals, architecture, and best practices. Proficiency in SQL, PL/pgSQL, and query optimization. Experience with database performance tuning and monitoring tools. Knowledge of containerization and orchestration technologies (Docker, Kubernetes). Familiarity with database security practices and compliance standards. Scripting and automation skills using languages like Python, Bash, JavaScript or similar. Familiarity with version control More ❯
mission-critical software applications in a collaborative and team-focused environment Experience with Go, Python, or other modern programming language. C++ knowledge a plus 2+ years of experience with containerization and orchestration (Docker + Kubernetes) and confidence operating cloud infrastructures Front-end development experience a plus DevOps skills, especially leveraging open source tools (Kibana, Prometheus, Grafana) a plus Sound understanding More ❯
advantageous. Python and Supporting Frameworks React and Supporting Frameworks Rest APIs, Graph QL Databases: MS SQL Server, Dynamo DB, MySQL, Postgres (others advantageous) ORMs: Entity Framework, Dapper Microservice Architecture, Containerisation, Event Driven Systems Cloud Services: API Gateway, k8s, Serverless (Preferably AWS) Unit Testing Using: XUnit, NUnit A Bit About Us Thredd is the trusted next-gen payments partner for innovators More ❯
services A logical approach to problem solving. Experience - Desirable Awareness of DevOps and Agile principles Experience with IaC and DevOps tooling such Terraform, Packer, Ansible, Chef, Gitlab Experience with containerization technologies and orchestration tools Familiarity with data preprocessing and feature engineering techniques for ML model training. Familiarity with MLOps tooling Benefits Be part of a creative, world-leading team Competitive More ❯
not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core More ❯
workflows, as well as automating some time intensive manual tasks. We're looking to bring AI to the forefront of our operational workflows. Infrastructure & DevOps Kubernetes - Container orchestration Docker - Containerisation Terraform - Infrastructure as Code AWS & Google Cloud - Multi-cloud setup Custom Kitt CLI - Development tooling CircleCI - CI/CD pipeline Why Kitt? The world of work has shifted forever. As More ❯
Physics, Engineering or Mathematics or equivalent experience. Experience with build automation and CI/CD. Expertise with monitoring or log aggregation tools. Experience working AWS cloud services Experience with containerization technologies such as Docker/Kubernetes. Expertise in problem solving and analysing global scale systems and critical production service environments. Strong debugging, testing/validation, and analytics/SQL(AO More ❯
with business goals. Able to translate complex engineering needs into clear business value propositions. Proven ability to write clean, maintainable, and testable code. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes), and cloud platforms (AWS/Azure). This is an excellent opportunity to join a high-performing team, working on complex and rewarding projects in a supportive More ❯
