251 to 275 of 698 Kafka Jobs

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 ❯

tools • Experience in the following tools and/or technologies: • JDK21and above (strongly preferred) • Python, JavaScript • Redis/Memcached/Elasticache • WebServices including REST interfaces development • Messaging solutions including Kafka, ActiveMQ, SQS, SNS If you want to apply, please send an email to 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

working with internal technical staff and stakeholders Practical experience of analysing requirements Ability to quickly learn new technical skills Coaching and mentoring Desirable Experience of working with Flask, MongoDB, Kafka, Typescript, AWS Experience of working with statically typed Python codebases Experience defining, implementing or supporting software in financial services industry(either traditional finance or crypto) preferred Experience of Domain More ❯

to see: Proficiency in Python Experience in designing and building high-volume, scalable, maintainable, high-availability systems Background in driving architectural decisions and leading cross-team projects Familiarity with Kafka and data lake technologies at scale A strong commitment to clean, reliable, and maintainable code Experience in mentoring less experienced engineers Salary Range = 160000 - 240000 USD Annually + Benefits More ❯