5 of 5 Redis Jobs in the South West

JVM compatible languages (Kotlin, Scala) Experience with Kafka or a similar platform. Experience working in Agile DevSecOps environments and Zero Trust Architecture Integrating with backing services, such as PostgreSQL, Redis or S3 Good engineering practices including continuous delivery, clean code, documentation, defensive programming, automated testing and code reviews Using GitHub/GitLab/Atlassian Suite for source control Test Driven More ❯

Bonus if you have experience with: Cross-platform frameworks (React Native or Flutter). IoT messaging (MQTT, AMQP) . Cloud microservices (Node.js, Go, Python). Databases (PostgreSQL/MySQL, Redis, InfluxDB/Timescale). Real-time comms (SIP/Asterisk/FreeSWITCH, WebRTC/Janus/mediasoup). Tech Stack Youll Be Exposed To Mobile: Native iOS (Swift), Native Android … Kotlin/Java), React Native, Flutter. Backend/Cloud: Node.js, Go, Python microservices. Databases: PostgreSQL/MySQL, Redis, InfluxDB/Timescale. Messaging/IoT: MQTT broker (Mosquitto, EMQX). Real-time Comms: HTTP APIs, WebSockets, WebRTC, SIP. This role offers the chance to combine your iOS and Android expertise with next-generation IoT, smart home, and cloud technologies , building apps More ❯

a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting analytics, model … deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights More ❯

a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting analytics, model … deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights More ❯

Engineer: Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals Establishing best practices for … re looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management skills Ability to drive strategic initiatives and influence technical More ❯