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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Software Development Engineer - Kinesis Data Streams, Kinesis Data Streams”. A match may be a passing mention rather than the job itself. Titles only.
22 roles across 23 listings · show every listing
…streaming with Amazon Kinesis Data Streams, and we are just getting started. We are currently looking for an experienced Senior Software Development Engineer to…
…Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto…
…Implementing real-time data processing systems using technologies such as Kafka, Kinesis, Pub/Sub, Flink, or similar streaming platforms - Scaling streaming infrastructure to support…
…DynamoDB commits a write in single-digit milliseconds, or when Kinesis Data Streams ingests a new record? Behind the scenes, a distributed log service…
…services with tight SLA requirements Experience with streaming data infrastructure such as Apache Kafka, Amazon Kinesis, or equivalent systems Familiarity with container orchestration (e…
…using stream processing techniques (Kinesis), process billions of line items via map reduce (EMR), and manage artifacts through the latest in database technologies (DynamoDB…
…and stream processing at scale (Kinesis, Kafka, SQS) - Experience with AWS services (ECS, Lambda, SageMaker, DynamoDB, S3, Athena) - Experience building developer tools, data platforms…
…7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role. Strong experience with AWS and GCP data services, including Kinesis…
…Familiarity with Kafka/MSK or Kinesis Data Streams/Firehose for real-time ingestion. Observability for data systems (freshness/completeness metrics, lineage, SLAs, alerting). Demonstrated…
…or data labeling, RLHF, fine-tuning workflows, and model evaluation pipelines. Hands-on familiarity with streaming technologies (e.g., Kafka, Flink, Kinesis) or the…
…Engineering: Build and optimize large-scale data pipelines (batch and streaming) using technologies such as Apache Flink, Spark, Kafka, and AWS-native services (Kinesis…
…commits a write with single-digit millisecond latency, or when Kinesis Data Streams ingests a new record? Behind the scenes, a distributed log service…
…optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine…
…Understanding of contact center-specific data flows: call detail records (CDRs), interaction logs, real-time event streams, and analytics pipelines (Redshift, Snowflake, Power BI…
…Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security…
…Hands-on experience with data pipeline, streaming, orchestration, or batch-processing technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, Kafka, or equivalent systems…
…driven / streaming systems (e.g., Kafka, Kinesis, Pulsar) — pub/sub, async, or stream processing at scale Hands-on experience building large-scale data pipelines…
…On any given day, you might be building a streaming data pipeline that feeds an AI agent's decision engine, developing an Analytical MCP…
…Experience designing streaming analytics architectures using Kinesis, Kafka, Flink, or similar for real-time dashboards, alerting, and event-driven data pipelines. - Data governance & quality…
…software problems, and possesses analytical, design and problem-solving skills. Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis…
…to data storage and computing - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code…
…data from various sources (Relational /Non-relational/No-SQL database) and message streams and construct complex analyses. • Develop and manage ETLs to source data…