26 to 50 of 569 Kafka Jobs

open-source projects. • Experience with distributed systems and microservices architectures. • Knowledge of security best practices and compliance requirements. • Experience with real-time data processing and streaming platforms (e.g., Apache Kafka, Apache Flink). • Familiarity with chaos engineering principles and tools. Mindbank Consulting is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race More ❯

and maintaining REST APIs. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Familiarity with Kubernetes, Docker, and containerized applications. Proficiency in working with event-driven architectures (Kafka preferred). Solid understanding of CI/CD, GitOps, and agile development practices. Comfortable with various database types: relational, NoSQL, and search engines. Preferred Qualifications BS or MS in More ❯

or contributing to a Centre of Excellence team Excellent communication skills and ability to collaborate across multidisciplinary teams Desirable Attributes Exposure to event-driven architectures and messaging systems (e.g., Kafka) Experience with Infrastructure as Code (e.g., Terraform, Ansible) Familiarity with observability tools and performance tuning Ability to mentor junior engineers and contribute to backend design leadership Prior consulting experience More ❯

leads. Awareness of ethical considerations and responsible AI practices. Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment. Exposure to NiFi, Kafka, or Airflow in academic or lab settings (not required, nice to have). Interest in cloud-native development, microservices, or scalable infrastructure (not required, nice to have). ECCO More ❯

applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Cloud Preferred qualifications, capabilities and skills Experience with event-driven architectures and tools like Kafka for messaging and streaming Familiarity with orchestration frameworks like Temporal.io or similar workflow engines Knowledge of cloud-native technologies, including Kubernetes and containerization best practices. Experience optimizing database performance More ❯

in full stack development for cloud solutions using Azure The full stack engineers for Commercial Technology will be proficient in SQL, .NET, Web Services, Azure Cloud, Restful-API/Kafka & event-driven integration capabilities. Excellent verbal and written communication, interpersonal, and analytical skills. Ability to self-learn and quickly understand new and changing technologies in a fast-moving cloud More ❯

GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skillsable to explain complex concepts to both technical and non More ❯

Automation Language: Python Observability & Monitoring: Monitoring & Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks More ❯

years' experience working as a Software Engineer on large software applications Proficient in many of the following technologies - Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working More ❯

MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in More ❯

or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally written tools for managing the More ❯

information to individuals with non-technical backgrounds and to senior leadership Experience with Machine Learning Analytics Experience with Amazon Web Services (AWS) Experience with asynchronous messaging systems (RabbitMQ, Apache Kafka, etc.) Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Excellent communication and collaboration abilities Experience working independently to solve complex More ❯

EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS/Grype vulns scanning, SIEM (Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version control: Git Infrastructure as Code More ❯

Git-based workflows Bachelors/Computer Science degree or equivalent Nice to Have: Experience in fintech, payments, or banking systems Exposure to serverless architecture Knowledge of event-driven systems (Kafka, SNS/SQS) Familiarity with security best practices in fintech (e.g., PCI DSS compliance) Experience with PostgreSQL or MongoDB This role offers a 2 -3 stage interview process with More ❯

Sonar) Web Technologies (JavaScript, HTML 5, CSS, JSON, REST, SOAP) Testing tools & frameworks (Jasmin/Karma, JUnit, Selenium, Cucumber, Mockito) Experience with Integration patterns and messaging technologies (MQ, Solace, Kafka, RabbitMQ) Extensive experience in ORACLE PLSQL, SQL and performance fine tuning. Strong passion for continuous improvement in its many forms Ability to be flexible and change direction as needed. More ❯

methodology Working knowledge with Collaboration tools, such as, Jira and Confluence Preferred Qualifications: Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi, Working knowledge with public keys and digital certificates Experience with automated testing patterns and tools, such as, Mocha/Chai, JUnit, NUnit, TestNG Experience with DevOps More ❯

EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS/Grype vulns scanning, SIEM (Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version control: Git Infrastructure as Code More ❯

Experience with Test Automation, DevSecOps, and CI/CD processes. Experience working with a large-scale legacy software system. Experience with tools such as Confluence, Eclipse, Jira, Jenkins, Junit, Kafka, and Spring Boot. Clearance Level TS/SCI This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to obtain an Interim More ❯

and/or other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Deploy, configure, test, troubleshoot, maintain, update/upgrade of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯

serverless architectures (Lambda, Fargate, Cloud Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving coding and development practices. You have worked More ❯

deliver on the following responsibilities: Design, develop, and deploy Java-based microservices using Spring Boot and RESTful APIs . Architect and implement integration solutions using modern tech stacks including Kafka , Kinesis , and API Gateway . Process and analyze structured and unstructured data using Spark , Amazon EMR , and PySpark . Manage and monitor AWS infrastructure including EC2, ECS, Lambda, S3 More ❯

cost efficiency DevOps & CI/CD : Familiar with tools like GitHub, Terraform, Docker, Kubernetes, and automated testing and monitoring. Data & Integration : Skilled in data modelling, APIs, messaging systems (e.g., Kafka), and ETL pipelines. Security & Compliance : Knowledge of secure design, identity management, and regulatory standards (e.g., GDPR). Problem Solving : Proven ability to lead teams in diagnosing and resolving complex More ❯

domains. Strong proficiency in Java, C#, and/or React with a deep understanding of system architecture and distributed systems. Experience with low-latency, high-throughput messaging systems (e.g., Kafka, RabbitMQ, or proprietary systems). Expertise in cloud technologies and deployment pipelines (AWS, GCP, or Azure). Expertise in performance profiling and optimisation. Strong leadership and communication skills with More ❯

a proactive approach to process improvement Essential skills include: Proficiency with modern test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong organizational, analytical More ❯

MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in More ❯