Disney Streaming | Data Engineer (Senior and Junior) | Full Time | NYC
BAMTech (now Disney Streaming) is hiring data engineers in NYC to build out the Disney+ data platform.
Tech Stack: AWS, EMR, Spark, Spark Streaming, Python, Snowflake, Kinesis, Kafka
Apply here: https://jobs.disneycareers.com/job/new-york/data-engineer/39... https://jobs.disneycareers.com/job/new-york/sr-data-engineer...
Radius AI | Backend Engineer | San Francisco, CA | Full-Time | Onsite | radiusai.com
RadiusAI is an early-stage startup that is helping brick & mortar retailers provide a level of experience that surpasses online experiences through AI and video analytics.
Our backend tech stack includes both cloud and edge computing. We process video data with deep learning models in Python at the edge to generate real-time data for our app. We also run big data technologies in the cloud such as Spark and Snowflake to generate analytics for clients.
Apply here https://radius-ai.workable.com/j/50DFBBD92C
Lime (Previously Limebike) | Software Engineer / Fullstack / Mobile / Security Engineer / Data Scientist / Data Engineer / Data Analyst / Infrastructure / DevOps / SRE | FULL-TIME/INTERNS/VISA | SAN FRANCISCO, CA | REDWOOD CITY, CA | ONSITE About Us https://www.li.me Lime is a technology company that focuses on last-mile transportation.
Tech Stack: Ruby on Rails, Kubernetes, AWS, Java, Golang, React.js, MySQL, Snowflake. https://stackshare.io/lime/lime
Clover | Sunnyvale, CA | ONSITE | Full-Time | Senior, Distributed Systems | USD $180k+
Who we are
We’re a small team of experienced software engineers tasked with ensuring that Clover’s rapid growth is sustainable over the long term. We solve for cross-cutting non-functional requirements like the security, scalability, and fault tolerance of Clover’s back-end platform and services. We design and develop the core architectural components, libraries, frameworks, tooling, and distributed systems at the heart of Clover’s global payment platform and services.
What we're doing
We recently completed a project to horizontally shard our transactional (payment) database cluster, which had grown to 10+ TB in size. Now we’re building a fully autonomous service for rebalancing merchant data across the shards to distribute load and eliminate hot spots.
We recently completed a project to lift-and-shift our production infrastructure from private data centers to public cloud in order to streamline our global expansion. Now we’re revisiting our architecture, processes, and tooling in order to more fully leverage the cloud environment.
We are actively working on the design, development, and deployment of data pipeline infrastructure to support richer analytics and reporting for our merchants and internal business needs. Our focus is on its security, scalability, reliability, and performance.
We are paving the road towards a decomposed architecture of horizontal core services (like authentication, authorization, placement, tokenization, and inter-device replication) and vertical product services (like device management, merchant boarding, inventory propagation, and customer loyalty programs).
We already have a healthy suite of functional unit and integration tests, and we are actively enhancing our automated stress tests and supporting infrastructure. That involves building the tools to spin up full production-scale environments, synthesize load, perform fault injection, and to collect, analyze, and surface test results in order to help drive continual improvement of performance and availability.
What we use
- Java for back-end services. - Python for integration and stress tests. - MySQL for OLTP. Snowflake for OLAP. - Kafka for stream processing. - Memcached for caching (duh). - Wavefront and ELK for operational visibility. - Redis for ephemeral shared data structures. - Google (GCP) as our cloud service provider. - Docker for building containers. Kubernetes for running them. - Netty for speaking HTTP, behind HAProxy for load balancing. This is the Clover of today. Come help shape the Clover of tomorrow.
Contact: zac at clover dot com (please mention you saw this in HN)
Localytics | Senior Software Engineer, Senior Product Manager | Boston, MA | FULL-TIME | ONSITE | NO VISA
Localytics helps the world’s leading brands understand how users engage with their apps and how to improve loyalty through personalized and more meaningful app experiences. We are a Gartner’s 2018 Magic Quadrant Leader for the Mobile Marketing Platforms, and our customers include Bose, Redbox, Live Nation, ZipCar, The Weather Channel, ESPN, Bloomberg, Eurostar, and GoPro.
Multiple positions in Engineering and Product:
* Senior Software Engineer, Distributed Systems (Backend)
* Senior Software Engineer, Platform & API (Backend)
* Senior Product Manager - SaaS
Our tech stack is AWS (DynamoDB, RDS, S3, SQS/SNS, Kinesis, Lambda, ECS), Scala, Go, Snowflake, Docker, Kubernetes, Argo. Prior Scala or Go experience not required.
Our systems process in real time 4 billion data points per day, analyze petabytes of data, and reach billions of users and devices for top brands in the U.S. and worldwide.
Interested? Email me directly at anovikov+hn@localytics.com. Please include your résumé and a link to your github profile if applicable.
Candidates only. No recruiters please.