351 to 375 of 589 Permanent Kafka Jobs

Uses database migration patterns, such as, "expand and contract" using go-migrate Writing observable and testable code using libraries such as testify and mockgen Publishing and consuming Avro formatted Kafka messages CI/CD GitHub Actions Trunk Based Development & Continuous Delivery Soft skills: Good collaboration skills at all levels with cross-functional teams Highly developed ownerships and creative thinking More ❯

s nothing we can't achieve in the cloud. BASIC QUALIFICATIONS 7+ years of technical specialist, design and architecture experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 7+ years of consulting, design and implementation of serverless distributed solutions experience 5+ years of software development with object-oriented language experience 3+ years of cloud-based More ❯

cloud native architecture and cloud integration with telco services. • Comfortable with virtualisation and container orchestration technology. • Experience designing RESTful APIs. • Experience with streaming and messaging systems such as gRPC, Kafka and RabbitMQ. • Experience designing and interfacing with user portals. • Experience with monitoring, telemetry and observability technology and patterns. • Understanding of BSS/OSS systems and their integration with network More ❯

Architecture managing global stakeholders. Hands on experience in designing large, complex systems, microservices, event drive architecture, cloud, technologies streaming etc. are required Hands on development experience in Java, Python, Kafka Streaming, Web applications, OAuth, etc. are required Exposure to Mainframe is desired Consistently demonstrates clear and concise written and verbal communication. Ability to prioritize work and share with business More ❯

focus. Effective communicator in both written and verbal mediums. BENEFICIAL SKILLS & QUALIFICATIONS Prior experience working on an electronic trading platform, e.g. reference data, market data & FIX. Knowledge of Spring, Kafka, SQL and/or Linux. Prior experience designing and implementing distributed systems modelling complex workflows. Prior experience in the financial industry. Understanding of common data structures and optimisations regarding More ❯

accuracy and throughput Transform prototypes into production-ready data and ML applications that meet throughput and latency requirements Deploy and manage data and ML infrastructure necessary for productionising code (Kafka, Docker, Terraform, etc) Build efficient data pipelines between on-premise and cloud environments to handle text and audio data processing loads for ML models Deploy NLP models in cloud More ❯

including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python • Proven ability to drive cross functional technical initiatives and deliver results through collaboration and alignment. Disclaimer This job description is a written More ❯

up to date (state of the art), whether we're in the cloud deploying over a 1,000 microservices into AWS, Azure & GCP or streaming billions of messages on Kafka and building event-based solutions. As a Principal Engineer in Data & AI, you will play a pivotal role in driving engineering excellence and innovation within our dynamic and inclusive More ❯

for? 5+ years of experience in engineering Strong node.js knowledge AWS or similar cloud experience Kubernetes, Helm and Docker knowledge Experience with Postgres/Mysql, RabbitMq/Nats/Kafka Strong system design and problem solving skills, we often deal with the "unknown" Strong communication skills, we often need to orchestrate projects with 20+ teams You are hands-on More ❯

our interview process can be completed in any language: Go to write our application code (there's an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services AWS for most of our production infrastructure and GCP for most of our data infrastructure. More ❯

in development frameworks such as Laravel/Symfony desired Experience in building platforms using event based architecture and CQRS Experience of working with AWS Services such as Aurora, MSK Kafka, ECS, EMR. Writing automated unit/integration tests for solutions Excellent practical experience of docker Excellent practical understanding of SOLID principles and design patterns Hands-on experience with one More ❯

will extensive and deep Expertise in following Application Development areas: " Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. " Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka " Solution architect with broad expertise in wide range of digital technologies in More ❯

specifications Build and evolve automated test suites using custom frameworks in Kotlin/Java Lead frontend testing (React/Playwright) and backend/API testing in an event-driven Kafka-based architecture Integrate testing into CI/CD pipelines using Docker, Kubernetes, GitHub Actions, and GitLab Contribute to strategies for non-functional testing, including performance, resilience, and security Collaborate … writing feature files and executable test specifications Hands-on experience with automated testing in Kotlin/Java Deep knowledge of testing APIs, services, and user interfaces Experience working with Kafka-based event-driven systems Solid understanding of CI/CD pipelines, cloud infrastructure, and containerized applications Strong problem-solving and debugging skills, especially in distributed systems Excellent communication and More ❯

knowledge of messaging systems, backed by a comprehensive background across a variety of middleware technologies, including commercial, open-source, and custom-built solutions. You will have experience with Apache Kafka, including administration, configuration, and troubleshooting in production environments. You'll have the opportunity to: Design, develop and implement the Kafka ecosystem by creating a framework for using technologies … such as Kafka Connect, Kafka Streams, KSQL, Attunity, Schema Registry, and other streaming-oriented technology. Help build the DevOps strategy for hosting and managing our SDP microservice and connector infrastructure in AWS cloud. Design and implement big data technologies around Apache Hadoop, Kafka streaming, No SQL, Java/J2EE and distributed computing platforms. Participate in Agile development More ❯

and mentor and coach the junior members, leverage full-stack technologies including; Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, DMN, BPMN and Kubernetes leverage data-streaming technologies including Kafka CDC, Kafka topic and related technologies, EMS, Apache Flink be able to innovate and incubate new ideas, have an opportunity to work on a broad range of problems More ❯

take full advantage of high velocity bandwidth, flash speed disk, high density multi-CPU architectures, and extreme memory footprints. You will be working with the latest technologies including Java, Kafka, Kubernetes, Docker, Apache Accumulo, Apache Spark, Spring, Apache NiFi and more! We have multiple opportunities to build systems with capabilities that include machine learning, processing intensive analytics, novel algorithm More ❯

reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring. Business Acumen: Ability to understand More ❯

reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring. Business Acumen: Ability to understand More ❯

reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring. Business Acumen: Ability to understand More ❯

one programming language (e.g., Python) Familiarity with relational databases and data warehousing concepts Understanding of ETL concepts and tools Exposure to workflow orchestration tools like Apache Airflow, NiFi and Kafka Strong analytical and problem-solving skills Excellent communication and teamwork abilities Eagerness to learn and grow in a fast-paced environment Experience in Jupyter Notebooks, PostgreSQL. Experience with version More ❯

structures, attribution, retention, LTV , and other mobile metrics . Ability to collect and aggregate user data from mobile sources for analytics. Experience building real-time data pipelines (e.g., Kinesis, Kafka, Spark Streaming ). Hands-on CI/CD experience with GitHub . Startup or small team experience - the ability to quickly switch between tasks , suggest lean architectural solutions , make More ❯

Experience with schema design and data modeling. Strong understanding of large-scale distributed data processing. Experience with developing extract-transform-load (ETL). Experience with distributed messaging systems like Kafka and RabbitMQ. Experience with distributed computing frameworks like Apache Spark and Flink. Bonus Points Experience working with AWS or Google Cloud Platform (GCP). Experience in building a data More ❯

functionality in a SaaS environment (via infrastructure as code) with experience of Spark, Python and a breadth of database technologies Event-driven and distributed systems, using messaging systems like Kafka, AWS SNS/SQS and languages such as Java and Python Data Centric architectures, including experience with Data Governance/Management practices and Data Lakehouse/Data Intelligence platforms. More ❯

and security infrastructure Collaborate with engineers, designers, and end-users to solve complex challenges Build APIs and services that support mission-critical applications Work with open-source technologies like Kafka, Kubernetes, Spark, and Elasticsearch What We're Looking For: Strong experience in Java, Rust, or Go Familiarity with distributed systems and large-scale data processing Passion for solving real More ❯

processes is mandatory Experience building components for enterprise data platforms (data warehouses, Operational Data Stores, API access layers, file extracts, user queries) Hands-on experience with SQL, Python, Spark, Kafka Excellent communication skills, with proficiency in verbal and written English About this Job This role involves developing and maintaining real-time data processing pipelines for enterprise customer data. You More ❯