51 to 75 of 93 Remote Amazon Kinesis Jobs

fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon’s Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google’s Kubernetes Engine to further expand our coverage. Our system scales on-demand, and … HTTP/S, AMQP, WebSocket Expert knowledge of Confluent Kafka Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer “What-if” thinking, while designing or reviewing solutions, to foresee or More ❯

fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and … HTTP/S, AMQP, WebSocket • Expert knowledge of Confluent Kafka • Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore, • Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer • "What-if" thinking, while designing or reviewing solutions, to foresee or More ❯

Work: Your efforts will positively impact people who are often financially disadvantaged when they arrive in the UK. Innovative Tech Stack: Work with modern tools like Snowflake, DBT, AWS Kinesis, Step Functions, Airflow, Datahub, and Looker. What You’ll Be Doing Platform Ownership: As the subject matter expert for our data platform, you'll manage and enhance core components … production data platforms in data-intensive organisations. OLAP & Data Warehousing: Deep understanding of OLAP databases, architectures, and general data warehousing concepts. AWS Expertise: Proficient with AWS services like S3, Kinesis, Lambda, and Glue, and how they combine to create an effective data platform. Data Orchestration: Familiar with orchestration tools like Airflow or AWS Step Functions. SQL & Data Modelling: Advanced More ❯

global user base and managing transformation projects. Understanding of OKTA SAML 2.0 Single Sign-On. Languages & Technologies Languages: Python (Boto3 & Moto), Java, React. AWS Technologies: Lambda, S3, Step Functions, Kinesis/Kafka, SNS/SQS, GraphQL, RDS/Aurora, Redshift, IAM, CloudWatch/CloudTrail, CloudFormation, API Gateway. Qualifications At least five years of relevant work experience, including two years More ❯

experience in operations of sizing, monitoring, and management, for Kafka, Logstash, Beats, Kibana, and Elastic Agent You have worked with queuing systems and data streams in production (SQS, ActiveMQ, Kinesis, Kafka or similar) and you are familiar with programming languages such as: PHP and/or Python and/or Java; 4+ years of experience in administering/developing More ❯

Infrastructure Engineering, delivering mission‐critical systems in production. Deep expertise with AWS or Azure , Kubernetes , Docker/OCI , and Terraform . Hands‐on experience with event‐streaming platforms (Kafka, Kinesis) and relational/analytical databases. Demonstrated customer‐facing skills—able to explain complex infrastructure decisions to clinical and IT stakeholders. UK work authorisation and willingness to work hybrid from More ❯

Infrastructure Engineering, delivering mission‐critical systems in production. Deep expertise with AWS or Azure , Kubernetes , Docker/OCI , and Terraform . Hands‐on experience with event‐streaming platforms (Kafka, Kinesis) and relational/analytical databases. Demonstrated customer‐facing skills—able to explain complex infrastructure decisions to clinical and IT stakeholders. UK work authorisation and willingness to work hybrid from More ❯

in Go Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB Build software that utilize messaging queues such as Kafka, SQS, and Kinesis Write performance efficient and memory optimized code We'll be reaching out to candidates that have: 2+ years of experience as a Backend Software Engineer. Very strong problem solving More ❯

working in teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with More ❯

Serverless). Understand information security principles and application security fundamentals. Manage and secure AWS services including WAF, ALB, CloudFront, CloudFormation, ECS, EC2, S3, SQS, RDS, SSL/ACP, CloudTrail, Kinesis , and more. Use AWS SDKs (Java, Boto3 for Python) and CLI tools to automate and manage cloud infrastructure. Implement and manage CI/CD pipelines using Jenkins . Use More ❯

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer … as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … track record of working with large datasets and extracting value from them - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda, as well as experience with non-relational databases and implementing data governance solutions Amazon is an equal opportunity employer and does not discriminate on the More ❯

DevOps Engineer or similar Is confident managing cloud infrastructure, especially in AWS Strong experience of CI/CD tools (GitLab, Jenkins, CircleCI, etc.) Proficient with containerisation technologies, specifically Docker, Amazon ECS and ECR Brings expertise in both relational and NoSQL databases (MySQL, MariaDB, MongoDB, DynamoDB) Has experience with search (Elasticsearch) and caching technologies (Redis) Has knowledge of infrastructure as … in cross-functional teams Can self-manage across multiple workstreams and communicate clearly with stakeholders Certifications in cloud platforms (AWS Certified DevOps Engineer, Solutions Architect etc) Experience working with Amazon Connect or Kinesis Experience of automated testing frameworks and code quality tools Knowledge of Google Cloud Platform and related services ? Why You’ll Love Working Here: A salary More ❯

and budgets and delivering scalable, high-volume microservices and event-driven architecture platforms. Deep understanding of Agile, DevOps and the full software delivery lifecycle Technical proficiency across AWS services (Kinesis, Lambda, ECS, EventBridge, etc.) Strong grasp of modern engineering practices – CI/CD, cloud-native architecture, TDD, BDD Excellent communication, stakeholder engagement and leadership skills Passion for coaching and … developing engineering talent AWS (Kinesis, Lambda, ECS, CDK, EventBridge, CloudFormation) CI/CD pipelines, Jenkins, Jira, Confluence, Miro, Teams Want to work in a collaborative, inclusive, hybrid working culture that values autonomy and impact? Apply today and help shape the future of engineering at this amazing UK Brand More ❯

and budgets and delivering scalable, high-volume microservices and event-driven architecture platforms. Deep understanding of Agile, DevOps and the full software delivery lifecycle Technical proficiency across AWS services (Kinesis, Lambda, ECS, EventBridge, etc.) Strong grasp of modern engineering practices – CI/CD, cloud-native architecture, TDD, BDD Excellent communication, stakeholder engagement and leadership skills Passion for coaching and … developing engineering talent AWS (Kinesis, Lambda, ECS, CDK, EventBridge, CloudFormation) CI/CD pipelines, Jenkins, Jira, Confluence, Miro, Teams Want to work in a collaborative, inclusive, hybrid working culture that values autonomy and impact? Apply today and help shape the future of engineering at this amazing UK Brand More ❯

for our contact center operations. Configure and manage call flows, IVR systems, queues, and routing profiles. Develop and integrate Lambda functions to extend AWS Connect functionality. Create and maintain Amazon Lex chatbots for interactive voice and chat experiences. Optimize contact center operations for efficiency, performance, and customer satisfaction. Collaborate with stakeholders to identify requirements and design appropriate solutions. Provide More ❯

and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with third-party API integration and More ❯

data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You’ll Also Bring Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The ability to manage More ❯

be successful in this role: Experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with basic knowledge of the change More ❯

Job Description My client, based in the London area, is currently looking to recruit an experienced AWS Databricks Data Architect to join their team. They are a leader within the consulting space and are experiencing growth, backed by a large More ❯

in AWS Glue for ETL (Extract, Transform, Load) processes and data cataloging. Hands-on experience with AWS Lambda for serverless computing in data workflows. Knowledge of AWS Glue Crawler Kinesis RDS for batch/real-time data streaming Familiarity with AWS Redshift for large-scale data warehousing and analytics. Skillful in implementing data lakes using AWS Lake Formation for … solutions. Hands-on experience with AWS DMS (Database Migration Service) for seamless data migration between different databases. Knowledge of AWS Athena for interactive query processing on data stored in Amazon S3. Experience with AWS AppSync for building scalable and secure GraphQL APIs. Qualifications: A minimum of 10 years of experience in data engineering or a related field. Strong background More ❯

optimisation Solid understanding of data warehousing principles, data modelling practice Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs and real-time ingestion Excellent More ❯

containerized applications (Docker) and container orchestrators Fluent in English - both written and verbal Nice to Have Knowledge in any of these areas: Python, JavaScript, OIDC, CloudFormation, AWS CDK, AWS Kinesis, Serverless architectures, Distributed tracing, ISO 27001, Penetration testing, CDNs, Queue systems #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than More ❯

of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills Infrastructure as Code: Terraform or similar. Containers & Kubernetes: Docker, EKS/AKS. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Desirable Experience Consulting or Energy sector experience. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration More ❯

Data Engineers to co-develop solution designs, align architectural decisions, and ensure technical consistency across the platform. Prior experience with AWS and its data ecosystem (e.g., Redshift, Glue, Lambda, Kinesis) is beneficial. Expertise in modern data pipeline architectures, covering both batch and real-time/streaming workloads, including event-driven patterns. Strong understanding of CI/CD, DevOps, and More ❯

Job Description Compensation £60,000 – £80,000 base salary + performance-related bonus + benefits Performance-Related Bonus Benefits (listed below) TL;DR Role: Senior AI Engineer (Agentic AI & LLM Focus) Location: UK-based, fast-growing technology consultancy specialising in More ❯