data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event-driven architectures and streaming technologies: e.g. ApacheKafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions More ❯
data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event-driven architectures and streaming technologies: e.g. ApacheKafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions More ❯
data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event-driven architectures and streaming technologies: e.g. ApacheKafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions More ❯
with policy languages such as Rego or Cedar Experience with cloud databases such as Amazon DynamoDB, Aurora or Snowflake Experience with data platform tools such as Apache Flink and Kafka Experience with Java/python CI/CD pipelines – CloudBees/Jenkins SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our More ❯
of deploying AI into production at scale. Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing. Domain Awareness: Understanding More ❯
to deliver resilient, maintainable solutions. Responsibilities Develop and maintain backend services and APIs using Node.js Build responsive, accessible frontend components using modern JavaScript frameworks Design event-driven systems using Kafka and SQS Implement infrastructure automation with Terraform Deploy and manage services in AWS (ECS, Cognito, SQS) Containerise applications using Docker Collaborate across DevOps, design, and product teams to deliver … Experience Proven experience in full stack development with Node.js Strong understanding of RESTful API design and microservices Experience with frontend frameworks (React, Vue, etc.) Familiarity with event-driven systems (Kafka, SQS) Proficiency in AWS services and cloud-native deployment Experience with Terraform and Docker Comfortable working in agile, collaborative environments Diversity & Inclusion Here at Amber Labs, we are dedicated More ❯
background in Linux infrastructure and third-party system operations. You'll be responsible for running and optimising large-scale production environments (5,000+ hosts) built on technologies such as Kafka, Redis, Kubernetes and MySQL. This is a hands-on, systems-level position focused on reliability, scalability, performance and troubleshooting. You'll work alongside experienced engineers, operating with a high … healthy, resilient, and observable. Key Responsibilities Manage, configure and maintain Linux systems (CentOS, Rocky, RHEL or similar distributions) in production environments Install, upgrade and troubleshoot third-party systems including Kafka, Redis, Kubernetes and MySQL Support day-to-day operations in data centre/large-scale infrastructure environments (5,000+ hosts) Contribute to system reliability, scalability and performance improvements across … of hosts/distributed systems) Strong troubleshooting and performance tuning skills at the infrastructure and OS level Solid understanding of MySQL operations, including replication concepts Hands-on experience with Kafka and/or other distributed messaging systems Experience with Kubernetes or similar container orchestration platforms Practical scripting skills in Bash and/or Python for automation and tooling Familiarity More ❯
