326 to 350 of 715 Kafka Jobs

to travel to conferences, and dedicated time for your personal development What you'll be working with: •Backend: Distributed, event-driven core Java (90% of the code-base), MySQL, Kafka •Data analytics: Python & Jupyter notebooks, Parquet, Docker •Testing: JUnit, JMH, JCStress, Jenkins, Selenium, many in-house tools •OS: Linux (Fedora for development, Rocky in production) The LMAX way is More ❯

/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other Experience in designing and implementing real-time data processing solutions Strong understanding of AI/ML applications in systems and software More ❯

partnership to identify your strengths and provide you with the training, mentoring and coaching necessary to fill any gaps. Experience with some of our core technologies: Node.js, React, Elasticsearch, Kafka, MongoDB, Redis. You'll be proficient in at least one programming language and be accustomed to evaluating new technologies. Experience building and maintaining production software. It's great if More ❯

in Go Experience keeping documentation up to date with CI/CD pipelines We mostly use GitHub Actions, but any experience with a comparable platforms is great Experience with Kafka and its various extensions is advantageous Perks and Benefits Stock options. 25 days PTO + public holidays. Top-tier private health insurance package. Employee referral scheme. Company-wide events More ❯

application architecture and microservices. Strong grasp and professional experience with concurrent programming, concepts idempotency and distributed transaction management in application logic. Familiarity with the technologies in our stack, including Kafka, Redis, and Kubernetes. Practical experience with MongoDB would be considered a big advantage. Knowledge of AngularJS is a plus. Passion in the eyes and swiftness in the fingers ;) What More ❯

cloud platforms (e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a fast-paced environment. Ability to work independently with agreed remit and autonomy. A strong More ❯

cloud platforms (e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a fast-paced environment. Ability to work independently with agreed remit and autonomy. A strong More ❯

modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi More ❯

in the following areas: Microservice and asynchronous architecture Python and TypeScript. Building responsive frontend applications (we use TypeScript, React, and GraphQL) Database technologies and query languages (we use Neo4j, Kafka, MySQL, Snowflake, Elasticsearch, and more) AWS Cloud technologies Log analysis to investigate bugs and performance issues Unit and integration tests What we give you: You join a vibrant global More ❯

and non-technical stakeholders A background in software engineering, MLOps, or data engineering with production ML experience Nice to have: Familiarity with streaming or event-driven ML architectures (e.g. Kafka, Flink, Spark Structured Streaming) Experience working in regulated domains such as insurance, finance, or healthcare Exposure to large language models (LLMs), vector databases, or RAG pipelines Experience building or More ❯

or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelors degree. Must have Java Springboot Mongo Kafka Some AWS/ECR Suite familiarity RKE Some of your day-to-day activities include but not limited to: Develops, maintains, and enhances complex and diverse software systems (e.g. More ❯

in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding of CI/CD practices, DevOps tooling, and data governance More ❯

side code adheres to the latest best practices; utilizing Python >3.10, extensive test coverage, local development with Docker and automated packaging and deployment alongside leveraging open-source technologies like Kafka, RabbitMQ, Redis, Cassandra and Zookeeper. By joining our team, youll have the opportunity to work on a modern tech stack that blends infrastructure (~80%) and application development (~20%) whilst More ❯

end-to-end, deploy to production frequently, and see the real-world impact of what they build. You'll also get to work with a modern tech stack: Kotlin, Kafka, Kubernetes, Docker, AWS, Aurora Postgres and more. We work hybrid, with at least 2 days a week together in our Manchester office. A day in the life: Leading a More ❯

facing, complex and large scale project management experience - 5+ years of continuous integration and continuous delivery (CI/CD) experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 5+ years of consulting, design and implementation of serverless distributed solutions experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience More ❯

technical audiences. Consistently meets sprint and quarterly commitments while maintaining high standards of quality and efficiency. Our tech stack includes: Frontend : React, ASP.NET MVC Backend : .NET (C#), SQL Server, Kafka Tests: Playwright, Selenium Infrastructure : AWS, TeamCity, Octopus, Datadog, and Sumo Logic About Olo Olo (NYSE: OLO) is a leading restaurant technology provider with ordering, payment, and guest engagement solutions More ❯

specifically AWS - enterprise software implementations. Experience with Agile software development. Experience with big data applications. Experience or Interest in building AI capabilities for Operations. Experience in data technologies like Kafka, Elastic, Spark, NiFi. Familiarity with Kubernetes deployment, Agile methodologies, and tools. Experience with NetCool IBM products. Experience with Watson X IBM Products. Experience with LLM products and capabilities. Experience More ❯

3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide More ❯

including schema design, indexing, and caching strategies for low-latency services. Experience with market data infrastructure and back testing frameworks : hands on building and operating real time data pipelines (Kafka/Redpanda, ClickHouse/InfluxDB) and authoring production grade back testing and simulation systems in Python or Go. Ideal Candidate Profile A creative problem-solver who is eager to More ❯

FX, and commodities. Proven experience in designing and implementing enterprise-grade architectures. Familiarity with microservices, containerized solutions like Kubernetes/Docker, and event-driven architecture and messaging systems (e.g., Kafka, RabbitMQ). Experience with cloud platforms and services, particularly in high-frequency trading and data processing. Experience in building scalable, resilient, and secure cloud-based solutions. Ability to work More ❯

chargers, calculating ETAs, monitoring traffic and keeping passengers informed. We rely on the following tools and technologies: Python for our backend code Postgres for data storage Redis for caching Kafka for stream processing React for our frontend Clickhouse for analytics SwiftUI for our Driver iOS App AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run More ❯

experience with deployment, configuration, and troubleshooting in live production systems. Experience with Messaging Systems: You have experience with distributed systems that use some form of messaging system (e.g. RabbitMQ, Kafka, Pulsar, etc). The role is focusing on RabbitMQ and you will have time to acquire deep knowledge in it. Programming Proficiency: You have some proficiency in at least More ❯

hyperparameter tuning, and model versioning. Strong social media data extraction and scraping skills at scale (Twitter v2, Reddit, Discord, Telegram, Scrapy, Playwright). Experience with real-time streaming systems (Kafka, RabbitMQ) and ingesting high-velocity data. Deep data-engineering expertise across Postgres, Redis, InfluxDB, and ClickHouse-schema design, indexing, and caching for sub-second reads. Experience deploying microservices in More ❯

understanding of relational databases (e.g., PostgreSQL). Bonus: Advanced LookML knowledge and experience building data visualisation tools. Skilled in building and managing real-time and batch data pipelines using Kafka and DBT. Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment. A strong numerical or technical background, ideally with a degree in mathematics, physics, computer science, engineering More ❯

strengthen an application: Passion for transportation or sustainable technologies Deeper experience with parts of our stack, eg Go, Typescript, react Terraform or other Infrastructure as Code tooling Exposure to Kafka, event driven architectures, or message queues Familiarity with HashiCorp Vault or other secrets management tooling Deeper knowledge of CI/CD pipelines Experience in a start-up or scale More ❯