476 to 500 of 719 Kafka Jobs

Strong background in data platforms, platform engineering or cloud infrastructure (ideally AWS). Experience with distributed systems, event‐driven architectures and streaming technologies (e.g., Kafka). Excellent stakeholder management and communication skills, with experience working across cross‐functional teams. A balanced approach to technical leadership and people development, with ...

distributed systems and cloud‐native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg ...

Modern tech stack and commitment to engineering excellence Professional development opportunities and conference attendance Technology Stack Primary language: Rust Additional tools: C++, Python, Kubernetes, Kafka, ClickHouse Infrastructure: AWS, bare metal colocation in strategic locations Monitoring: Prometheus, Grafana, custom observability tools #J-18808-Ljbffr ...

ownership from a product based company. Primarily you’ll be working on the backend of their stack with Node.JS, Ruby, and Kafka, impacting everything from the development of APIs and the user interface to the database. However, they know that a good developer can pick up a new language ...

/AIOps platforms (e.g., Netcracker, ElasticSearch). Familiarity with graph databases, vector databases, and knowledge graphs. Experience with data streaming and processing platforms (e.g., Kafka, Google BigQuery) Preferred Certifications ServiceNow Certified Implementation Specialist (CIS) in Discovery, Service Mapping, or Event Management. ITIL 4 Foundation. Certifications in Data Governance ...

distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg ...

implement efficient data structures and algorithms Experience with any SQL/No SQL databases (Oracle, MySql, Postgres, Mongo, Cassandra, etc) Experience with any MQ (Kafka, Tibco, Solace, etc) Good understanding of how Linux/JVM works Passion to write code using TDD and be ready for L3 support Qualifications ...

distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg ...

Strong background in data platforms, platform engineering or cloud infrastructure (ideally AWS). Experience with distributed systems, event-driven architectures and streaming technologies (e.g. Kafka). Excellent stakeholder management and communication skills, with experience working across cross-functional teams. A balanced approach to technical leadership and people development, with ...

technical audiences. Nice to Have: Experience working in fintech or high-trust domains like risk, identity, or compliance Experience in messaging systems such as Kafka is a plus. Additional Information Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update) See what ...

5+ years of experience in Java or Kotlin (or other JVM based language) Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka) Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect ...

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

expected to reason clearly through unfamiliar problem domains under real constraints. Core Skills Core technologies: Rust, with Python at some API boundaries. Kafka, PostgreSQL/TimescaleDB/PostGIS, gRPC/protobuf, and Kubernetes. Candidates are not expected to have experience with all of these, but adjacent understanding is crucial. ...

which will determine the exact role and level we consider you for: Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis Experience with Linux systems administration, package management, and operations Experience with the public cloud or a private ...

driven development (TDD) principles (e.g., NUnit, Jest). Distributed Systems Knowledge: Deeper understanding of distributed systems, including building scalable and resilient services (e.g., Redis, Kafka, AWS infrastructure). Problem‐Solving & Collaboration: Show strong problem‐solving skills and collaborate effectively with team members, product managers, and stakeholders to deliver solutions ...

relational databases, query optimisation and designing schemas is a plus Knowledge of Java and Spring boot and experience with a messaging system, like Kafka, is a plus Being part of the on-call rotation for our critical services and helping the team improve it, normally being on-call every ...

driven mindset, with the ability to work closely with engineering teams Hands-on experience with high-performance messaging or sequencing platforms such as Aeron, Kafka, Hydra, or equivalent — including an understanding of message ordering, state machine replication, and fault-tolerant distributed systems Demonstrable exposure to low-latency or high ...

Able to scope an engagement, hold it, and escape well. Willing to travel to customer sites one to two times per month. Desired Skills Kafka or event-streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup ...

awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala Strong communication skills and the ability to work in a team ...

Desirable skills (optional) Markets Sales analytics use cases (targeting, next-best action, coverage effectiveness, pipeline) plus market data and pre/post-trade analytics; Kafka and dbt exposure a plus. Hands-on coding in Python, SQL, and PySpark for pipelines and production analytics/ML; Java/C++ ...

demonstrate current SC clearance status. Role Responsibilities You will design, build and maintain scalable batch and streaming data pipelines using technologies such as Kafka and cloud-native services. You will work with relational databases including AWS Aurora PostgreSQL , covering database design, SQL development, query optimisation and operational performance. … including complex joins, aggregations, subqueries and query optimisation Strong understanding of ETL/ELT concepts and data pipeline design Hands-on experience with Apache Kafka or similar streaming platforms Strong knowledge of AWS data services and managed databases Experience with relational databases, ideally AWS Aurora PostgreSQL Experience working with ...

hands-on experience with Databricks (AWS and/or Azure), including Lakehouse architecture, distributed processing, and production operations. Strong hands-on experience with Apache Kafka and event-driven integration architectures. Proven expertise designing and implementing enterprise-scale API-led, event-driven, and service-based integration solutions across data platforms … derivative markets highly desirable. Hands-on experience with: Azure Data Factory, Databricks Asset Bundles, Power BI, Dbt, NodeJS, Amazon API Gateway Experience working with Kafka or similar Experience with Azure DevOps (ADO), Bitbucket, and Git-based workflows. Advanced use of VS Code and developer productivity tooling (e.g. Claude Code ...

/or GCP, Kubernetes, Docker, cloud-native architecture , and CI/CD pipelines. Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing. Proven experience designing highly available, secure, scalable, and resilient backend systems. Strong understanding of databases (SQL/NoSQL), caching, observability, logging … stakeholder management, and mentoring skills. Required Technologies Languages: Node.js, JavaScript, Typescript, Python, Go Cloud: AWS/GCP Containers: Kubernetes, Docker APIs: REST, gRPC Messaging: Kafka or equivalent AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel ML: Hugging Face, PyTorch DevOps: CI/CD, Terraform (preferred) Roles & Responsibilities Lead ...

tools such as Git, Jenkins, Gradle, and Terraform. Work with relational and NoSQL databases and optimize data access and query performance. Integrate systems using Kafka, REST, and messaging frameworks. Implement unit, integration, and automated tests and resolve performance or vulnerability issues. Participate in Agile ceremonies and collaborate with product … Kubernetes. CI/CD and DevOps practices using Git, Jenkins, Gradle, and Terraform. Experience with PostgreSQL, Oracle, or MongoDB and performance tuning. Integration using Kafka, REST, and messaging frameworks. Testing with JUnit, Mockito, and Selenium and adherence to coding standards and security practices. Experience level: Senior. Preferred Skills: Agile ...

The Backend Engineer will focus on designing, developing, and maintaining strong server-side solutions to support the company's financial services operations. This role involves collaborating closely with cross-functional teams to ensure seamless integration ...