1 to 25 of 103 Kafka Jobs in Berkshire

Hands-on experience in designing and reviewing high-performance reactive code. Experience in building cloud-native, event-driven, scalable distributed systems using .NET, C#, Kafka, ELK Stack, and Kubernetes. Full-stack development experience with front-end technologies like HTML and Vue.js. Proficiency in scalable database design (SQL, NoSQL, Graph More ❯

have Skills: Good understanding of container technologies (Docker and Kubernetes) Experience of Single page application frameworks (Angular/React) Practical experience of development using Kafka/RabbitMQ Experience in large scale integration projects involving messaging, web services and distributed systems Public Sector experience More ❯

approach to delivering solutions. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins More ❯

or financial services. Proven ability to design and build high-performance, low-latency integration solutions. Experience with cloud platforms (AWS, Azure, GCP), including managed Kafka, serverless functions, and API gateways. Proficient in CI/CD, Docker, and Kubernetes. #J-18808-Ljbffr More ❯

critical or legacy systems Familiarity with frontend frameworks (React, Vue.js, or Angular) Experience with databases (PostgreSQL, DynamoDB, Redis, etc.) Exposure to microservices, messaging queues (Kafka, SQS), and event-driven architecture Understanding of authentication (OAuth2, JWT), API security, and access control Bachelor's degree in Computer Science, Engineering, or related More ❯

using API and microservice-based architecture. Deep understanding of ETL/ELT architecture, streaming, and event-driven processing; familiarity with tools like dbt, Airflow, Kafka, or equivalents. Familiarity with mid-sized firm tech stacks, especially in financial services, including systems such as NetSuite, Salesforce, Addepar, Experience with Atlassian Jira More ❯

Driven Development) Familiarity with scripting languages including Bash, Perl, Python or Go. Familiar with Agile ways of working. Nice to have: Working knowledge of Kafka/Docker/Jenkins/Postgres/Liquibase/Java NPPV3 Clearance If interested, with relevant experience, please apply with your latest CV ASAP. More ❯

of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such as Spark, Hadoop, or Kafka, is a plus. Strong problem-solving skills and the ability to work in a collaborative team environment. Excellent verbal and written communication skills. Bachelor More ❯

communication skills and ability to interact with technical and non-technical stakeholders. Nice to have would be: Familiarity with modern data tools (dbt, Airflow, Kafka, etc.). Knowledge of monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, CloudWatch). Certifications in relevant cloud technologies (AWS, Azure, GCP). Experience More ❯

and business stakeholders Guide delivery of software engineering and platform capability Experience: Experience of leading enterprise level Data Platforms using Azure, AWS, Snowflake and Kafka Experience of end to end data integration patterns and enterprise grade data modelling. Strong understanding of SDLC principles Current or previous coding experience in More ❯

Backed Technologies: Highly experienced in developing Java code, along with deep expertise within Spring boot OR Quarkus/GraalVM, Hands on with Messaging Systems (Kafka, RabbitMQ, Google Pub/Sub), SQL Databases CI/CD Pipelines and Agile development: Knowledge of continuous integration and delivery tools/practices, Scrum More ❯

best practices Understanding of APIs, OAuth2, WebSockets, and microservice architecture ? Bonus Skills Experience in energy, commodities, or financial trading environments Knowledge of data engineering, Kafka, Terraform, Conda, Bokeh Exposure to working directly with traders or analytical model users ? Why Join? Impact a high-value, fast-paced global trading environment More ❯

with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in More ❯

technologies, such as Kubernetes, containers, microservices, serverless, DevSecOps, CI/CD, etc. (AWS, Azure, GCP) Golang, C/C++ Distributed system architecture and technologies, Kafka, gRPC, REST NoSQL and RDBMS Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color More ❯

Programming experience in Go (Golang) , Java , Kotlin , JavaScript/Node.js , or Python Strong hands-on experience with Kubernetes (K8s) and OpenShift Experience with MongoDB , Kafka , Prometheus , OpenTelemetry , Grafana Familiarity with tools like Helm , Kustomize , Terraform , and Vault Proven experience with hybrid cloud environments (on-prem + public cloud) Ability More ❯

management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture More ❯

2.0, and JWT Demonstrated experience leading agile software teams using Scrum methodologies C# skills are a bonus but not mandatory Desired Skills and Experience: Kafka and message bus/queue expertise Terraform and GitHub Actions skills Open Telemetry (OTEL) implementation Proficiency with NumPy and Pandas Systems integration experience Background More ❯

across teams Ideally from a commodities trading or financial services background Nice to Have: Python programming AWS (S3, ECS, AppSync) GraphQL/REST APIs Kafka, Postgres, and familiarity with microservices architecture #J-18808-Ljbffr More ❯

Design high-performance data ingestion and delivery systems. Technical Skills: 7+ years with Python, Rust is a bonus Experience with event streaming platforms like Kafka . Familiarity with DevOps , CI/CD , and infrastructure-as-code . API design experience; front-end experience with React is a plus. Cloud More ❯

Blazor) is advantageous. Experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform) is a plus. Exposure to messaging patterns (RabbitMQ, Kafka) and authentication methods like OAuth2 is beneficial. A strong problem-solver who can work independently while effectively collaborating with cross-functional teams. Prior experience More ❯

Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). − Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to More ❯

Series A Built or deployed software used by enterprise customers Experience with applied machine learning or MLOps Exposure to event-driven architectures, streaming systems (Kafka, etc.), or real-time data pipelines Frontend experience in React, TypeScript, or similar frameworks What We Offer: Early-stage equity and the chance to More ❯

data workflows using Git, Azure DevOps, or similar tools Assist in real-time and event-driven data processing using tools such as Event Hubs, Kafka, or equivalents Drive usage of Microsoft Fabric features within modern data architectures, especially OneLake, Lakehouse, and Direct Lake Power BI datasets Effectively communicate across More ❯