26 to 50 of 650 Kafka Jobs

manage, and mentor your team, fostering a collaborative environment focused on results. Technical Skills: Orchestration: Camunda 8 (including Zeebe, Operate, Elasticsearch, etc.) Backend Development: Java 21, Spring Boot 3.x, Kafka Frontend Development: Angular 15+, React 18+, REST APIs CI/CD Tools: Jenkins, Docker, Kubernetes Monitoring & Alerts: Prometheus, Grafana Data Persistence: PostgreSQL, MongoDB, Redis Why Join Us? Be part More ❯

clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL databases and full-text search engines (e.g. More ❯

clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL databases and full-text search engines (e.g. 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 ❯

APIs, SQL/NoSQL, Python, and Linux Experience with cloud platforms (AWS preferred), including services like EC2, S3, Lambda, CloudWatch, IAM, and container orchestration (EKS/ECS) Experience with Kafka Listener for event-driven architecture and message stream processing Hands-on experience with data movement and ETL tools such as Informatica, including job monitoring, failure recovery, and performance tuning More ❯

with scripting languages (e.g., JavaScript, TypeScript, and/or Python) Experience with object-oriented languages (e.g., C# and/or Java) Understanding of and experience with eventing systems (e.g., Kafka) Experience with relational databases, such as DB2, MySQL, and/or PostgreSQL Familiarity with document databases, such as MongoDB and/or DynamoDB Demonstrated experience with AI Enablement: Experience More ❯

Experience with SQL databases including PostgreSQL Experience with NoSQL databases including MongoDB Experience with containerization technologies such as Docker and containerd Familiar with Messaging Frameworks such as RabbitMQ and Kafka Familiar with CI/CD principles, methodologies, and tools such as Bamboo and GitLab CI Familiar with IaC principles, methodologies, and Desired Technical Skills Familiar with container orchestration technologies 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 ❯

C2S) Windows and Linux operating systems Programming in Python for data processing, automation and ETL workflow orchestration Lucene-based search/indexing platforms: Elasticsearch and Apache Solr Message brokers (Kafka, RabbitMQ) GraphQL: schema design, API development, query optimization, and integrations DevSecOps practices and tools ElasticSearch and OpenSearch .NET, C#, Javascript, and Java Terraform Experience developing and maintaining components in More ❯

product and engineering team, delivering cutting edge software solutions. Our Technology Our current technology stack is outlined below: Go, Python, Java React Native, Android Apps (Kotlin) AWS PostgreSQL, SQLite Kafka, MQTT Shell scripting REST APIs Docker for both our cloud and edge-device applications Microservice-style, event-driven cloud architecture IoT 'smart' edge devices (using nVidia AI chips) Linux More ❯

UI development with a modern JavaScript framework (e.g., React, Vue, Angular) Experience with automated build tools, continuous integration, and continuous deployment Experience with containerization and orchestration technologies (e.g., Kubernetes) Kafka experience More ❯

Angular/React/JavaScript. Experience with high-transaction/high-volume applications in financial services or similar domains. Strong knowledge of databases (SQL/NoSQL) and messaging systems (Kafka preferred Proficiency in unit testing, integration testing, and CI/CD pipelines. Strong problem-solving, analytical, and communication skills. More ❯

to enhance performance, resilience, and maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React What Were Looking For: Proven experience leading development teams in an agile environment Hands-on 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 ❯

the full software lifecycle-from concept to delivery and beyond. Collaborate directly with clients and stakeholders. Tech You Might Use: Java | Python | TypeScript | React | Angular | Spring Boot | Docker | Kubernetes | Kafka | AWS Whether you're a backend wizard, full-stack polyglot, or DevOps enthusiast, there's a place for you in the business. What We're Looking For: A passion 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 ❯

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 ❯

trackers and pytile APIs - Experience with high-load, multi-regional applications - Experience with database technologies (SQL/NoSQL: PostgreSQL, DynamoDB) - Experience with event-driven architectures and message queuing systems (Kafka) PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing More ❯

Proven experience designing and supporting multi-tenant SaaS data platforms with strategies for data partitioning, tenant isolation, and cost management Exposure to real-time data processing technologies such as Kafka, Kinesis, Flink, or Spark Streaming, alongside batch processing capabilities Strong knowledge of SaaS compliance practices and security frameworks Core Competencies Excellent problem-solving abilities with the capacity to translate More ❯

APIs, SQL/NoSQL, Python, and Linux Experience with cloud platforms (AWS preferred), including services like EC2, S3, Lambda, CloudWatch, IAM, and container orchestration (EKS/ECS) Experience with Kafka Listener for event-driven architecture and message stream processing Hands-on experience with data movement and ETL tools such as Informatica, including job monitoring, failure recovery, and performance tuning More ❯

Eventing and Storage layers. Genesys Software Engineers think through implementation details of scale, security and usability.We write code inJava, Python and JavaScript, and work with many technologies, includingDynamoDB,SQS, Kafka, Jenkins, GIT etc, all onAWS. Key Responsibilities: Your primary responsibilities will include designing, developing and maintaining the runtime engine for bots. You'll work collaboratively across teams to ensure 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 ❯

Work with relational, NoSQL, and cloud-based data platforms (PostgreSQL, MySQL, MongoDB, Elasticsearch, AWS/GCP data services). • Support data integration and transformation using modern tools (Apache NiFi, Kafka, ETL pipelines). • Contribute to DevOps and test automation processes by supporting CI/CD pipelines, version control (Git), and containerized/cloud environments. • Perform data analysis and validation More ❯

with Java. • RESTful web application experience. • Spring Boot experience. • Interacting with MongoDB or similar database technology. • Automated testing. Nice to Haves: • Full stack experience including UI development with JavaScript. • Kafka experience. • Excellent written and verbal communication skills. • Linux administration experience. • Experience with automated build tools, continuous integration, and continuous deployment. YOE Requirement: 12 yrs., B.S. in a technical discipline More ❯

Strong expertise in Java (8/11/17+) and core libraries Proven experience with Spring Boot and microservices Strong background in AWS (EC2, S3, Lambda, IAM) Knowledge of Kafka or similar messaging systems Advanced SQL skills with query optimisation Experience building REST/JSON APIs Proficiency with Docker for local and cloud deployments Excellent communication skills Nice-to More ❯