526 to 550 of 1,822 Kafka Jobs

cloud platform technologies, preferably AWS. Experience in Java application development, EMC VNX, network monitoring, user provisioning and continuous integration. Familiarity with big data tools such as Elasticsearch, Splunk, NiFi, Kafka, etc. Background in Agile/Scrum methodologies for iterative development. Strong familiarity with NoSQL/SQL databases (MongoDB, PostgreSQL, etc.). Experience working with REST APIs, including secure transport More ❯

cloud platform technologies, preferably AWS. Experience in Java application development, EMC VNX, network monitoring, user provisioning and continuous integration. Familiarity with big data tools such as Elasticsearch, Splunk, NiFi, Kafka, etc. Background in Agile/Scrum methodologies for iterative development. Strong familiarity with NoSQL/SQL databases (MongoDB, PostgreSQL, etc.). Experience working with REST APIs, including secure transport More ❯

such as, AWS Cloud (GovCloud/C2S) Familiar with Amazon Web Managed Services (AWS) Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis More ❯

LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD More ❯

LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD More ❯

like Git, Jenkins, or GitLab CI/CD. Experience with event-driven architectures or other modern backend design paradigms. Understanding of data processing tools or platforms, such as BigQuery, Kafka, or Snowflake. Why Join Seedtag? Growth & Opportunity: A key moment to join with vast career development prospects. Flexibility: At Seedtag, we trust you to balance work and life effortlessly More ❯

functional paradigms and type theory. Confident JVM knowledge. Modern Java, Ruby, or Clojure knowledge. Experience with Airflow or other Python-based workflow orchestration tools. Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git. Knowledge of financial concepts, exchange trading, or physical energy trading. More ❯

services), big data technologies, Azure cloud services, including Azure Functions, Azure Synapse pipelines and AWS cloud services. Strong understanding of modern data platforms and services (e.g., cloud data services, Kafka, Spark) and data modeling techniques. Proficient in software development with experience in at least one major programming language (e.g., Python, Java, etc.). Experience with DevOps tools and methodologies More ❯

ensuring that DWP and our DevOps practices evolve in line with technology advances. You'll be working on an exciting tech stack including AWS, Azure, Kubernetes, Helm, Terraform, Kong, Kafka, GitLab CI/CD, Python, and many more cutting-edge technologies across our services. DWP is the UK's largest government department. This role represents a unique opportunity to More ❯

as availability monitoring , incident response, post-mortem analysis, and preparing reliability reports for leadership and stakeholders. Tool Deployment & Maintenance : Deploy, configure, and maintain essential cloud services and tools including Kafka , Spark , Presto , Airflow , MQTT , and other microservices platforms in a cloud-native environment. Infrastructure as Code (IaC) : Set up and manage cloud infrastructure using tools like Terraform , Cluster API More ❯

as availability monitoring , incident response, post-mortem analysis, and preparing reliability reports for leadership and stakeholders. Tool Deployment & Maintenance : Deploy, configure, and maintain essential cloud services and tools including Kafka , Spark , Presto , Airflow , MQTT , and other microservices platforms in a cloud-native environment. Infrastructure as Code (IaC) : Set up and manage cloud infrastructure using tools like Terraform , Cluster API More ❯

TX. However, flexibility is essential to accommodate any changes in the schedule. Preferred Requirements A current TS/SCI is preferred. CI Poly is a plus. Experience with NiFi, Kafka, AWS Infrastructure, and K8's. Experience in cloud based technologies (AWS, Azure). Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience More ❯

lifecycle. Stress-testing, performance-tuning, and optimization skills. Debugging in multi-threaded environments. Eligible to work in the UK. Desirable Skills: Technologies such as Zookeeper, Terraform, Ansible, Cassandra, RabbitMQ, Kafka, Spark, Redis, MongoDB, CosmoDB, Xsolla Backend(AcceleratXR), Pragma, Playfab, Epic Online Services, Unity Game Services, Firebase, Edgegap, Photon Game engine experience with Unreal or Unity Web application development experience More ❯

lifecycle. Stress-testing, performance-tuning, and optimization skills. Debugging in multi-threaded environments. Eligible to work in the UK. Desirable Skills: Technologies such as Zookeeper, Terraform, Ansible, Cassandra, RabbitMQ, Kafka, Spark, Redis, MongoDB, CosmoDB, Xsolla Backend(AcceleratXR), Pragma, Playfab, Epic Online Services, Unity Game Services, Firebase, Edgegap, Photon Game engine experience with Unreal or Unity Web application development experience More ❯

of working and maintaining a high standard and quality of products we create. Client-Side: Typescript, Next.js, React and various React ecosystem tools and libraries Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL, Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, and tools and be happy to learn new skills when More ❯

e.g., Python, Bash, Ansible) Monitoring and logging tools (e.g., Prometheus, Dynatrace, AWS CloudWatch) Nice To Have Experience with service mesh technologies (e.g., Istio) Experience with event streaming platforms (e.g., Kafka, Kinesis) Experience with serverless computing (AWS Lambda, API Gateway) Physical Demands Physical demands include a considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard More ❯

/Kubernetes). Experience working in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or Flink . Experience with data compliance regulations (GDPR). What you can expect from us: Opportunity for annual bonuses Medical Insurance Cycle to work scheme Work from More ❯

cloud orchestration and containerisation technologies, such as Kubernetes and Docker Knowledge of large-scale databases and distributed technologies, such as RDS Knowledge of distributed event streaming technologies, such as Kafka Write/maintain automation script using Bash/Shell or python scripting languages Experience of mentoring and leading people around you and taking point on key decisions Aker Systems More ❯

in data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one More ❯

technologies and what our environment looks like: Python for our application code, APIs and SDK SQL and NoSQL databases: PostgreSQL, Couchbase, DynamoDB Event-driven architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS, Lambda and EKS, with infrastructure More ❯

Lockdowns and Basic Penetration Testing Technologies • Operating Systems and Virtualisation (Windows and Linux) • Infrastructure as Code and Operational Automation (e.g. Terraform, Ansible) • Message Queueing and Streaming Fabrics (e.g. AMQP, Kafka, Kinesis) • Docker and Kubernetes • Scripting (Shell and PowerShell) • Basic Coding with a bias for Infrastructure (Python, Go, C#) • IAM Policy and Authentication/Authorization schemes • Web Services and REST More ❯

HTML, CSS, and a modern frontend framework (e.g., React, Angular, Vue) Backend experience with Java, Go, Python (Django), C#, Kotlin, or Scala Experience with distributed systems, event streaming (e.g., Kafka), and relational/non-relational databases (e.g., Postgres, Azure SQL) Ability to work collaboratively across functions and drive solutions forward A flexible mindset and comfort working in evolving environments More ❯

collaboration skills. Ability to work in a fast-paced, dynamic environment. Hands-on involvement with large-scale distributed systems and client-server architectures. Familiarity with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow. In-depth knowledge of AI/machine learning and data analytics. Skilled at leading and influencing within large, matrixed organizations. Track record of leading More ❯

In short, your new job as a Senior Backend Developer! Working in a highly dynamic and technically complex environment You are an autonomous, self-driven person, who brings a strong drive for continuous self-improvement. You know your way around More ❯

contracts, gRPC etc) to co-design solutions with our other engineers Working knowledge of microservices architecture Working knowledge of distributed event stream platforms for high-performance data pipelines (e.g. Kafka etc) What's in it for you 401k matching + Competitive equity package Excellent Medical, Dental and Vision health benefits Fertility & Family Forming Benefits Flexible time off Lunch, snacks More ❯