201 to 225 of 598 Kafka Jobs

mindset.You'll also have: Proven experience in PHP or Python development, with strong knowledge of frameworks like Laravel and design patterns such as MVC Experience working with microservices, Apache Kafka, and event-driven architecture A track record of mentoring developers and leading technical initiatives in Agile environments Familiarity with DevOps practices, CI/CD pipelines, and tools like Git More ❯

mindset.You'll also have: Proven experience in PHP or Python development, with strong knowledge of frameworks like Laravel and design patterns such as MVC Experience working with microservices, Apache Kafka, and event-driven architecture A track record of mentoring developers and leading technical initiatives in Agile environments Familiarity with DevOps practices, CI/CD pipelines, and tools like Git More ❯

/CD pipelines. Implement and optimize automation processes using infrastructure-as-code (Terraform) Build and maintain data pipelines using Airflow. Manage our tech stack including Python, Node.js, PostgreSQL, MongoDB, Kafka, and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and resolving production issues. Contribute to the development of new More ❯

Boot expertise Proficiency in Lombok JUnit Swagger and modern web architecture Experience designing and developing reusable frameworks Strong understanding of microservices distributed systems and cloudnative development Handson experience with Kafka and API design RESTGraphQL Familiarity with CICD tools and containerization technologies More ❯

and scalable API design. Knowledge of frameworks and libraries like Vue.js, React, JSON, XML, MVC, and jQuery will be beneficial. Exposure to Docker, Kubernetes, Helm Charts, messaging systems like Kafka or RabbitMQ. More ❯

JAVA DEVELOPER PERMANENT ROLE MANCHESTER HYBRID - 3 DAYS ONSITE PER WEEK Ideal Candidate Qualifications: Spring Boot: Expertise in building Java applications using this framework. Kafka: Proficiency in handling real-time data feeds with this platform. Containerization Platforms: Experience with Kubernetes for managing and deploying applications in containers. Cloud Experience: Particularly with AWS (Amazon Web Services). Core Java: Proficiency More ❯

effective test cases, including unit tests, regression tests, and performance tests. • Extensive hands-on experience with Micro Services, REST/GraphQL API development using Java, Spring Boot and leveraging Kafka for integration with applications. • Hands-on experience with UI modern technologies like ReactJS and/or AngularJS • Hands-on experience in database development with technologies such as Oracle, Cassandra. More ❯

based data solutions. Key Responsibilities: Lead cross-functional teams to deliver scalable data solutions across cloud platforms Architect data lakes, lakehouses, and event-driven systems using tools like Databricks, Kafka, and Confluent Apply Data Mesh and Data Fabric principles to modern data architectures Define and implement data product strategies with a product-led mindset Ensure compliance with data governance More ❯

Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack) Proven problem-solving mindset and More ❯

Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack) Proven problem-solving mindset and More ❯

.NET, .NET Core Strong API integration skills SQL Server and NoSQL databases Unit testing frameworks Messaging within a microservice architecture Agile development (Scrum experience preferred) Good to have skills: Kafka A modern front-end framework (e.g., Angular) Docker containerization Domain-driven design What the offer: Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team More ❯

Quant Degree such as Maths, Physics, Computer Science, Engineering etc Software Development experience in Python or Scala An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow SQL & NoSQL expertise, ideally including Postgres, Redis, MongoDB etc Experience with AWS, and with tools like Docker & Kubernetes As well as More ❯

Hands-on Software Developer with strong Java and Python experience *Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes) *Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) *Looking to lead a team in an office-based role in London. Reference Number: BBBH 254621 To apply for this role or to be considered for More ❯

Web Services exposure (REST/SOAP). You will have a wide breadth and depth of technical experience including Tomcat, shell scripting, JSON, multi-threading, Maven, Linux, SQL, Pivotal, Kafka and Spring framework tech stack.Expertise with Eclipse or IntelliJ and ability to compile, deploy and execute code artifacts.Understanding of secure coding best practices. You will have experience with Relational More ❯

Essential Skills & Experience - Lead Software Engineer Significant demonstrable experience in one or both of: Modern software engineering for digital products (ideally Java, microservice architectures, Hexagonal software architecture, Mongo and Kafka); OR designing and implementing modern cloud infrastructure, DevOps, and automation (ideally AWS, Terraform, GitLab CI, Jenkins) Lead engineering teams Collaborative Working and leading in a complex, multi-disciplinary environment More ❯

data engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and More ❯

including CI/CD pipelines. Cloud platforms such as GCP (ideally having covered BigQuery, Kubernetes and Firestore). Configuration of cloud infrastructure (e.g., with Terraform). Messaging services (e.g., Kafka, Pub/Sub). NoSQL (e.g., MongoDB and Firestore). SQL querying (e.g., BigQuery, Snowflake), including the ability to work with complex data structures and very large data volumes. More ❯

with large volumes of Real Time data, designing systems that can elastically scale to handle surges in throughput and demand. Hands-on experience with modern technologies such as Kubernetes, Kafka, RocksDB, MongoDB, MemSQL, Prometheus, Tempo, and Snowflake is highly desirable. Exposure to cloud-native tooling and practices, with an emphasis on DevOps, cloud computing, Kubernetes, and stream processing is More ❯

value of frequent iterations and user feedback Previous experience working with CNO, USCC, CNMF, or some form of cybersecurity-related past Experience with any of Elasticsearch, Kibana, Grafana, Redis, Kafka, Nginx, AWS, HAProxy Experience integrating open-source models and technologies Excellent Jira hygiene More ❯

Server, or Postgres. Experience with AWS based system architecture covering S3, EKS, EC2, Batch, or Airflow etc. Experience with caching and messaging technologies such as, Redis, Hazelcast, MQ, or Kafka etc. Experience with programming within a CICD pipeline such as Git, Jenkins etc. Strong problem-solving and troubleshooting skills and ability to work in a collaborative, fast-paced environment. More ❯

experience with agile methodologies and trunk-based development. Solid expertise in database modeling, optimization, and performance tuning, specifically PostgreSQL. Hands-on experience with event-driven queuing services (AWS SNS, Kafka, or similar). Experience with LLMs and AI Agents Experience with building resilient and high-performance backend architectures (e.g., REST APIs, microservices). Nice to have Certifications in AWS More ❯

systems, or embedded products Applies principles and techniques of computer science, engineering, and mathematical analysis to the development of complex architectures What you bring to the table: Experience with Kafka (required) Linux (required) Java (required) React (required) Docker/Kubernetes (required) DevSecOps (preferred) Cloud Services (preferably AWS) MPLS/Networking (preferred) GitLab/Jenkins (preferred) Jira (preferred) What sets More ❯

preferably in GitLab, GitHub, or similar Bonus points for: Familiarity with Generative AI, Agentic (LangGraph for extra points) Experience in distributed systems, including integration methods using REST APIs or KAFKA Experience with cloud platforms (AWS, OpenShift) Hands-on Microservices You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills More ❯

the bigger picture. Essential Skills Significant demonstrable experience in one or both of: o modern software engineering for digital products (ideally Java, microservice architectures, Hexagonal software architecture, Mongo and Kafka); o OR designing and implementing modern cloud infrastructure, DevOps, and automation (ideally AWS, Terraform, GitLab CI, Jenkins); Significant demonstrable experience of leading engineering teams providing technical leadership and guidance More ❯

TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for solving complex More ❯