76 to 100 of 109 Permanent Amazon Kinesis Jobs

ensuring reliable and scalable storage for test results, logs, and other artifacts required for testing and analysis. 3. Utilize knowledge of MySQL, Snowflake, and Kinesis to design and execute database and integration tests, ensuring data integrity, seamless data flow, and accurate processing across systems, including ETL pipelines and real ...

reviews, maintain high coding standards, and thrive in Agile, collaborative team environments. Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks. Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale. Preferred Qualifications: Familiarity with AWS cloud infrastructure ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricksAbility to think strategically and relate architectural decisions ...

reviews, maintain high coding standards, and thrive in Agile, collaborative team environments. Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks. Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale. Preferred Qualifications: Familiarity with AWS cloud infrastructure ...

Machine Learning Specialty, Solutions Architect, or DevOps Engineer). Experience with computer vision and intelligent document processing on AWS (Rekognition, Textract). Experience with Amazon Bedrock, generative AI, LLM fine-tuning, or RAG systems. Experience with streaming and big data tools (Kinesis, Kafka, Spark, EMR). Familiarity with ...

autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production — including architecture ...

MergeTree family, primary/sort key design, partitioning, projections, materialized views, dictionaries, TTL and object-storage tiering Design the ingestion architecture — streaming (Kafka/Kinesis, Kafka table engine or ClickPipes), batch and CDC paths, idempotency and deduplication strategy, schema evolution Produce sizing and cost modelling, with options and trade ...

same, a place where employees know they can thrive. Join TTEC Digital's AWS Professional Services practice and help deliver large-scale Amazon Connect transformations for global enterprise customers. This is a principal-level, hands-on consulting and engineering role focused on designing, building, and deploying modern cloud contact … centre solutions using Amazon Connect and the broader AWS ecosystem. You will work within cross-functional squads alongside client engineers, programme managers, and AWS technical leadership -taking ownership of technical delivery within your assigned workstream while contributing to the broader programme's success. The role requires hands-on coding ...

energetic and dynamic environmentCompetent and comfortable working with Typescript, Serverless technologiesYou should have extensive experience working with AWS (API Gateway, Lambda, Dynamo, DB, SQS, Kinesis, S3, ELK + More)Great experience in implementing best practices like TDD, SOLID and clean codeExperience in developing REST-APIs, Microservices, relational databases ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS’s analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You’ll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … reference architectures. Key job responsibilities Architect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud‐native analytics, including ETL refactoring ...

ingestion on Cribl — routing, filtering, normalisation, and enrichment at the edge. Optimisation: reduce volume via deduplication, trimming, and NetFlow summarisation; manage streaming/storage (Kinesis, S3, Amazon Security Lake). Standards: apply hot/warm/cold data tiering; normalise into OCSF; enforce encryption and least-privilege access. … expertise or Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data normalisation. Strong grasp of Zero Trust, identity-first security, secrets management, and network segmentation. Experience working ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS's analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … reference architectures. Key job responsibilitiesArchitect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch)Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud-native analytics, including ETL refactoring and performance validationPartner ...

Evaluate vendor solutions, generate recommendations, and deliver internal training to clients. Requirements: Bachelor's degree in a STEM field5+ years of experience working with Amazon Web Services (AWS), including exposure to other cloud vendorsIn-depth understanding of AWS's suite of tools and services for data management and pipelining … including VPC, EMR, S3, RDS, Kinesis, Glue, Redshift, and Data Pipeline. Proficiency in infrastructure-as-code tools such as Terraform, CloudFormation, and related technologies. Strong knowledge of Kubernetes. Proficiency in at least one back-end programming language, such as Python or Go. Expertise in constructing highly available and fault ...

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers … experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in cloud based solution (AWS or equivalent), system, network and operating system- Experience ...

every time. Role Overview We run an event-driven data platform on AWS and Snowflake. Events flow from our product services through EventBridge, Kinesis Firehose, S3, and are auto-ingested into Snowflake via Snowpipe; batch and third-party data lands through Snowpark-deployed Python procedures. All infrastructure is defined … accurate, audit-ready data. Requirements We'd love it if you have AWS & Event-Driven Architecture: Hands-on experience with streaming/event ingestion (Kinesis, EventBridge or equivalents), S3 partitioning, and queue/DLQ patterns. Infrastructure as Code: Terraform experience required; Terragrunt a plus. Comfortable owning modules across environments ...

production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams4. Partner with customers to translate business challenges … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. 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 ...

fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent … analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data Architecture ...

Software Development Engineer on our team, you’ll help build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure, including advanced persistent threats. You’ll work with security engineers, data scientists, and other software development engineers across multiple teams to develop innovative … help us amplify the positive and inclusive team culture we’ve been building. Key job responsibilities As a Software Development Engineer, you will leverage Amazon technology (Lambda, Kinesis, DynamoDB, etc.) to solve AWS Security problems at staggering scale. You will raise the bar on our software architecture ...

Required Skills AWS Solution Architect IaC REST GraphQL DDD KAfka SQQS SNS DynamoDB IAM KMS WAF CDK Terraform Kinesis Job Summary Solution Architect AWS | Microservices & Event-Driven Architecture Cambridge - Hybrid - 2 days The Opportunity We're looking for an experienced Solution Architect to design and lead the implementation … patterns for resilience (circuit breakers, retries, bulkheads) and observability (distributed tracing, structured logging, metrics). Design event streaming and async messaging using Kafka, Amazon SQS/SNS, EventBridge and Kinesis, including event schema standards, event sourcing, CQRS and saga orchestration. Design AWS infrastructure across EKS, Lambda, ECS/ ...

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every step … particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon‐scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will ...

particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will … understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...