that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them. Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought … . Knowledge of data structures. Experience with either Kubernetes or Docker. Preferred qualifications, capabilities and skills: Experience with at least one cloud platform. Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.). Preferably experience in setting up data platforms, setting standards - not just pipelines. Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink). More ❯
in tribes and squads focused on specific products and projects, with opportunities to move between them based on your strengths and interests. Technologies we use include: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark. While professional skills are important, culture is equally valued. We recognize everyone's uniqueness, and believe that diversity of thought, experience, and background makes a … Knowledge of data structures. Experience with Kubernetes or Docker. Preferred Qualifications, Capabilities, and Skills Experience with at least one cloud platform. Experience with message brokers such as Kafka, RabbitMQ, Pulsar, etc. Experience in setting up data platforms and establishing standards, beyond just pipelines. Experience with distributed data processing frameworks like Spark or Flink. About Us J.P. Morgan is a More ❯
production issues. Optimize applications for performance and responsiveness. Stay Up to Date with Technology: Keep yourself and the team updated on the latest Python technologies, frameworks, and tools like Apache Spark , Databricks , ApachePulsar , Apache Airflow , Temporal , and Apache Flink , sharing knowledge and suggesting improvements. Documentation: Contribute to clear and concise documentation for software, processes … cloud platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with ApachePulsar or similar systems for real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for … processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or other stream processing frameworks is a plus. Desired Skills: Asynchronous Programming: Familiarity with asynchronous programming tools like Celery or asyncio . Frontend More ❯
we’re looking for - Demonstrated expertise in designing and deploying data architectures for high-velocity, high-throughput systems. Strong proficiency in real-time data streaming technologies such as Kafka, Pulsar, and RabbitMQ. Extensive experience with high-performance databases, including PostgreSQL, ClickHouse, Cassandra, and Redis. In-depth knowledge of ETL/ELT pipelines, data transformation, and storage optimization. Skilled in More ❯
Python and deployed with Docker & Kubernetes. Integrate with enterprise ecosystems- enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). Wrangle large, heterogeneous data sets —model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced AI workloads Develop enterprise-level next generation AI systems with the More ❯
Python and deployed with Docker & Kubernetes. Integrate with enterprise ecosystems- enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). Wrangle large, heterogeneous data sets —model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced AI workloads Develop enterprise-level next generation AI systems with the More ❯
technologies (eg. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Nice to Have More ❯
technologies (eg. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Nice to Have More ❯
CD tools, such as Github Actions or similar. Knowledge and hands-on experience with Docker, Kubernetes. Exposure to the Pub-Sub model and event streaming platforms such as Kafka, Pulsar, or AWS Kinesis. Experience with build and package management tools such as npm, maven, dotnet, etc. Experience with Postgres or other RDBMS environments and familiarity with No-SQL data More ❯
CD tools, such as Github Actions or similar. Knowledge and hands-on experience with Docker, Kubernetes. Exposure to the Pub-Sub model and event streaming platforms such as Kafka, Pulsar, or AWS Kinesis. Experience with build and package management tools such as npm, maven, dotnet, etc. Experience with Postgres or other RDBMS environments and familiarity with No-SQL data More ❯
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 one More ❯
Metrics instances, on-prem S3, and codebases in Python, Typescript, and Kotlin. Maintain and manage pipeline between real-time data from streaming/non-streaming data sources such as ApachePulsar/Oracle/MemSQL to application data stores and services. JOB REQUIREMENTS MINIMUM EDUCATION: Bachelor's Degree in Computer Science, CIS, MIS or Information Technology. MINIMUM EXPERIENCE More ❯
reviews and pair programming Contribute to architecture and design discussions Optimise system performance, scalability, and reliability Tech Stack: Scala (Cats, ZIO or Akka) Play Framework or HTTP4s Kafka/Pulsar for data streaming PostgreSQL, Cassandra or similar Docker, Kubernetes, AWS/GCP CI/CD with GitHub Actions or Jenkins About You: Strong commercial experience with Scala (or deep More ❯
reviews and pair programming Contribute to architecture and design discussions Optimise system performance, scalability, and reliability Tech Stack: Scala (Cats, ZIO or Akka) Play Framework or HTTP4s Kafka/Pulsar for data streaming PostgreSQL, Cassandra or similar Docker, Kubernetes, AWS/GCP CI/CD with GitHub Actions or Jenkins About You: Strong commercial experience with Scala (or deep More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harrington Starr
need • 3+ years of professional Scala development • Solid grasp of functional programming and concurrency (Cats, ZIO or similar). • Production experience with message queues or streaming platforms (Kafka, Kinesis, Pulsar). • Cloud deployment know‐how – AWS preferred (Docker, Kubernetes, Terraform a plus). • Genuine interest in live sports and turning fast data into insights. Find out more If you More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harrington Starr
need • 3+ years of professional Scala development • Solid grasp of functional programming and concurrency (Cats, ZIO or similar). • Production experience with message queues or streaming platforms (Kafka, Kinesis, Pulsar). • Cloud deployment know‐how – AWS preferred (Docker, Kubernetes, Terraform a plus). • Genuine interest in live sports and turning fast data into insights. Find out more If you More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harrington Starr
need • 3+ years of professional Scala development • Solid grasp of functional programming and concurrency (Cats, ZIO or similar). • Production experience with message queues or streaming platforms (Kafka, Kinesis, Pulsar). • Cloud deployment know‐how – AWS preferred (Docker, Kubernetes, Terraform a plus). • Genuine interest in live sports and turning fast data into insights. Find out more If you More ❯
need • 3+ years of professional Scala development • Solid grasp of functional programming and concurrency (Cats, ZIO or similar). • Production experience with message queues or streaming platforms (Kafka, Kinesis, Pulsar). • Cloud deployment know‐how – AWS preferred (Docker, Kubernetes, Terraform a plus). • Genuine interest in live sports and turning fast data into insights. Find out more If you More ❯
London, England, United Kingdom Hybrid / WFH Options
Smart Communications group
Production experience working with all or most of the following AWS services: EKS ECS Lambda EC2, VPC and ALB AWS WAF S3 EFS RDS CloudWatch IAM Any experience with ApachePulsar would be a plus but this is not a requirement. We look for the following SMART values in everyone we hire at Smart Communications: S peak Openly More ❯
