1 to 25 of 103 Remote/Hybrid Kafka Jobs

their output, and maintain quality over AI‐generated work product. Experience building event‐driven and distributed systems , including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies. Strong SDLC practices : version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality ...

exposure to NoSQL (MongoDB) . Proven capability in debugging, optimisation, and performance tuning in distributed environments. Additional Skills (Nice to Have) Familiarity with Kafka , Solace , or similar messaging technologies. Exposure to cloud-native development : AWS, OpenShift, Kubernetes, Docker. Understanding of inventory funding , securities lending , and settlement workflows . Experience ...

delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup ...

should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure ...

DevOps & Cloud: Hands-on experience with Kubernetes , Docker, Terraform, and CI/CD tools like Jenkins or GitHub Actions. Data & Messaging: Expert knowledge of Kafka , Apache Flink, PostgreSQL, Oracle, and Elasticsearch. Security: Deep understanding of OAuth 2.0, secure web services, and API gateway management. Candidate Profile Enterprise Experience: Proven ...

deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal ...

workflows, code reviews, and CI/CD practices. Preferred Qualifications: Have used Azure cloud services previously Experience with streaming/event-driven systems e.g., Kafka/Kinesis Experience with infrastructure as code e.g., Terraform and containerization e.g., Docker/Kubernetes Familiarity with data governance, cataloging, lineage, and privacy/ ...

workflows, code reviews, and CI/CD practices. Preferred Qualifications: Have used Azure cloud services previously Experience with streaming/event-driven systems e.g., Kafka/Kinesis Experience with infrastructure as code e.g., Terraform and containerization e.g., Docker/Kubernetes Familiarity with data governance, cataloging, lineage, and privacy/ ...

working with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation technologies ...

Azure DevOps) Solid understanding of microservices and containerisation Knowledge of authentication and integration tools (OAuth, JWT) Excellent communication and problem-solving skills Bonus Skills: Kafka, RabbitMQ, or Azure Service Bus Database admin or optimisation experience Previous work on customer-facing web platforms Why You'll Love It Here: Hybrid ...

delivering service migrations and platform go-lives into production Nice to haves: Helm chart authoring and advanced Argo CD usage Event-driven microservices (Kafka) PostgreSQL in cloud environments Advanced CI/CD pipeline design Experience with Internal Developer Platforms (e.g. Backstage) Multi-cloud exposure and/or Python development ...

improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: - Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test ...

using OAuth2/OIDC, session management, and fine-grained permissions. Design and maintain event-driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault-tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. ...

high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . Big Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture. Leadership & Soft Skills ...

Have Skills Experience or familiarity with any of the following would be beneficial but not required : Docker & containerisation Kubernetes AWS CI/CD pipelines Kafka & event-driven architectures Databases: MongoDB, PostgreSQL, Oracle Service mesh technologies (e.g. Istio ) BDD tools (e.g. Cucumber ) Helm Redis Monitoring & observability tools ( Grafana, Prometheus, Kibana ...

Good knowledge of at least one Python-compatible frontend framework Strong experience with AWS services and cloud-native development Understanding of event-driven systems (Kafka highly desirable) Strong grasp of software engineering principles and clean architecture Experience with CI/CD, automated testing and DevOps practices Comfortable working across ...

moving towards a cloud-first architecture with a strong focus on AWS, working with technologies such as Java/Spring, AWS Lambda, Node.js, Kafka, SQL/NoSQL databases, and more. Key Tasks Work within a small, collaborative team using agile methodologies and practices Take ownership of applications across ...

with distributed systems and troubleshooting at scale Hands-on knowledge of containers/orchestration (Kubernetes, Nomad, or similar) Experience with messaging systems such as Kafka, ActiveMQ, or similar Understanding of observability, monitoring, and tracing concepts Strong DevOps/CI/CD mindset Background in financial services or other mission ...

lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills Infrastructure as Code: Terraform or similar. Containers & Kubernetes: Docker, EKS/AKS. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Desirable Experience Consulting or Energy sector experience. Public profile (blogs, conferences, open source). Stakeholder engagement ...

development teams• A collaborative approach, with clear communication and thoughtful decision-making around quality, risk, and deliveryEvent-driven systems and messaging technologies (for example Kafka or SNS/SQS)• Frontend development experience, such as React• Working in polyglot environments (such as TypeScript or Python)• Containers, Kubernetes, infrastructure as code ...

power intelligent decision‐making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real‐time streaming pipelines and event‐driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed … junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding ...

caring about the quality of what you build + doing some really cool stuff with AI! Stack: Java, Spring Boot microservices, React, Node.js, PostgreSQL, Kafka, ActiveMQ, Kubernetes, AWS - and they're actively embracing AI tooling in day-to-day engineering. What they're looking for Solid Java background, ideally ...

data modelling, warehousing, and pipeline design Experience supporting regulatory or risk-related data workflows Desirable Experience Exposure to real-time/streaming technologies (e.g. Kafka) Experience in large-scale data transformation or migration programmes Familiarity with CI/CD, DataOps, or DevOps practices If you’re a contract Data ...

related technologies CI/CD: Experience building and maintaining pipelines using tools such as GitHub Actions Microservices: Familiarity with microservices and event-driven architectures (Kafka knowledge is beneficial) Communication: Strong interpersonal skills with the ability to collaborate across teams Benefits 25 days annual leave plus bank holidays Hybrid working ...

senior stakeholders to align technology with business goals Essential Skills for the Principal Java Engineer: Deep hands-on expertise in Java, Spring Boot, Microservices, Kafka and AWS Strong understanding of software architecture and scalable system design Experience leading development of high-performance distributed systems Proven experience in a Principal ...