Kinesis

Kinesis Developer Jobs

3 jobs found

18d ago

Data Engineer, Decision Intelligence Technology

Amazon Web Services, Inc. Bellevue, WA

Bellevue, WA

18d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

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Job Description

On the AWS Kumo team, this Data Engineer role centers on shaping data architecture, quality, and availability to empower advanced analytics and improve AWS Support outcomes. You will work closely with data scientists, BI engineers, and business partners to turn rich data into actionable insights and scalable capabilities.

Details

Location: Bellevue, WA (onsite)

Salary: USD 132,100 - 178,800 per year

Experience: 3+ years

Responsibilities

Design and enhance the data architecture, elevate data quality, and ensure reliable data availability through ongoing monitoring.
Collaborate with Data Scientists to deploy advanced analytics leveraging our data assets for statistical analysis, predictive modeling, clustering, and machine learning.
Partner with business analysts across teams to formulate and test hypotheses aimed at improving the AWS Support business.
Improve reporting and analysis workflows to enable self-service insights for customers.
Keep abreast of new big data technologies and run pilots to design scalable data architectures that grow with expanding customer experience data on AWS.

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Sign-on payments
Restricted Stock Units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance and option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Flexible Spending Accounts
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage

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23d ago

Lead Software Engineer - Fullstack Java/AWS/AI/ML

JPMorganChase Plano, TX

Plano, TX

23d ago

Full time Backend Developer AI API

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Job Description

Lead Software Engineer with expertise in full stack Java, AWS, AI, and ML, based onsite in Plano, TX. This role blends hands-on development with technical leadership on an agile team delivering secure, scalable technology products across frontend, backend, AI/ML, and data pipelines within Commercial & Community Banking.

Responsibilities

Develops innovative software solutions, designs, builds, and troubleshoots complex technical challenges, applying approaches that go beyond routine methods.
Promotes enterprise authorized AI assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including AI assisted code review and refactoring, accelerated test strategies, and incident/root-cause analysis support; establishes secure coding, peer review, and automated testing standards while encouraging reuse of effective patterns across the team.
Utilizes the Software Development Life Cycle toolchain, including AI assisted development and automation capabilities, to maximize the value realized from automation.
Full stack application development across UI and backend layers, building frontend applications with modern JavaScript frameworks (React, Angular, or Vue.js), backend services in Java and Python, and ensuring seamless integration among UI, APIs, middleware, and data stores.
AI/ML model development and edge deployment, including building, training, fine tuning, and optimizing models with PyTorch, TensorFlow, Hugging Face, ONNX, and TensorRT; packaging and deploying models for edge and cloud environments, with full lifecycle management including experimentation, versioning, evaluation, and monitoring.
Cloud infrastructure and operations, applying hands on AWS expertise to provision, configure, and manage cloud resources for data pipelines and model serving using services such as EC2, S3, Lambda, ECS/EKS, SageMaker, Kinesis, IAM, and CloudWatch; ensuring operational excellence through monitoring, alerting, cost optimization, and infrastructure as code practices.
Data pipeline development and integration, designing scalable, fault tolerant pipelines to ingest, transform, and deliver data across distributed systems; architecting event driven and streaming data flows with Apache Kafka and other messaging technologies to support real time processing needs.
Collaboration and technical leadership, partnering with data scientists, product managers, and platform teams to translate business requirements into technical solutions; participating in architecture and code reviews and contributing to engineering best practices and standards.

Requirements

Formal training or certification in software engineering with 5+ years of applied experience.
Proven track record leading effective use of approved AI assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Programming Languages & Frameworks: Proficiency in JavaScript/TypeScript (including modern front end frameworks), Java (Spring Boot or similar), and Python; ability to operate fluidly across all three ecosystems.
Data Streaming & Messaging: Significant experience with Kafka (producers, consumers, Kafka Streams, Connect, Schema Registry) and familiarity with other messaging systems such as RabbitMQ or AWS SQS/SNS.
AI/ML Model Development: Hands on experience building and training models with PyTorch, TensorFlow, or JAX; familiarity with model optimization and conversion tools for edge deployment (ONNX Runtime, TensorRT, TFLite, Core ML); experience with experiment tracking tools like MLflow or Weights & Biases.
AWS Cloud Operations: Practical experience operating production workloads on AWS, including provisioning infrastructure, managing deployments, troubleshooting issues, and implementing CI/CD in a cloud native environment.
Data Engineering: Experience building ETL/ELT pipelines and working with both structured and unstructured data at scale; familiarity with Apache Spark, Airflow, or Step Functions is a plus.
Software Engineering Practices: Strong foundation in Git, containerization, orchestration, automated testing, and CI/CD tooling.

Technologies

Java, JavaScript, TypeScript, React, Angular, Vue.js
Python, Java Spring Boot or similar
PyTorch, TensorFlow, Hugging Face, ONNX, TensorRT, MLflow, Weights & Biases
Apache Kafka, RabbitMQ, AWS (EC2, S3, Lambda, ECS, EKS, SageMaker, Kinesis, IAM, CloudWatch), SQS, SNS
JAX, Core ML, TFLite, ONNX Runtime
Apache Spark, Airflow, Step Functions
Git, Docker, Kubernetes, Terraform, CloudFormation, CI/CD tooling

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity)

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1mo ago

Lead Software Engineer

Disney Experiences Bay Lake, FL

Bay Lake, FL

1mo ago Closed

$148k - $180k/yr Full time Backend Developer AWS Cloud

This position is no longer accepting applications (closed Jun 25, 2026).

Job Description

Disney Experiences seeks a Lead Software Engineer to own multi-system delivery for the Disney Experiences (DXT) team, onsite in Bay Lake, FL, with a yearly compensation range of USD 148,300 to 180,000.

Responsibilities

Design, develop, and run real-time, event driven systems that ingest and process data from edge devices
Build backend services and streaming pipelines with Java and Apache Flink to shape data into reliable events, handling guest media and identity reconciliation
Architect and operate production systems on AWS with emphasis on scalability, cost efficiency, observability, and fault tolerance
Lead end to end delivery across multiple systems, balancing domain goals with technical constraints to deliver impactful features
Drive architectural decisions and own critical components of the platform
Create clean, versioned event schemas and APIs for downstream consumers and external integrations
Act as an autonomous technical liaison and team representative
Mentor junior engineers and present to executive stakeholders
Contribute to estimation and planning of sophisticated scalable projects
Occasional travel may be required, estimated at 10 to 15 percent

Requirements

Seven or more years of professional software engineering experience, including distributed, production systems
At least three years of cross team technical leadership with end to end ownership of multi service initiatives and architecture decisions implemented at scale
Lead through technical influence rather than people management
Expertise in building real time or streaming data pipelines, including ingestion, aggregation, windowing, and emission
Experience with AWS IoT Core, Kinesis, Kafka, and MQTT
Expert-level proficiency in Java
Hands-on experience with AWS services such as ECS/EKS, Lambda, DynamoDB, S3, CloudWatch, and timeseries databases like Timestream or InfluxDB
Strong understanding of event driven architecture, schema evolution, and downstream integration
Proven ability to design and deliver observable, resilient, and scalable systems
Ability to stay current with emerging technologies to inform recommendations

Technologies

Java
Apache Flink
AWS
AWS IoT Core
Amazon Kinesis
Apache Kafka
MQTT
Amazon ECS
Amazon EKS
AWS Lambda
DynamoDB
S3
CloudWatch
Timestream
InfluxDB

Benefits

Medical benefits
Financial benefits
Bonus and/or long term incentive units

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