Simplify Logo

Full-Time

Senior Software Engineer

Reliability Engineering, US

Confirmed live in the last 24 hours

Onehouse

Onehouse

51-200 employees

Data lakehouse solution for efficient data management

Data & Analytics

Compensation Overview

$150k - $220kAnnually

+ Equity Compensation

Senior, Expert

Seattle, WA, USA + 1 more

Category
Backend Engineering
Software QA & Testing
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Management
Apache Spark
Java
AWS
Jenkins
Terraform
CircleCI
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor's degree in Computer Science or related field.
  • 7+ years of experience in software engineering or SRE roles, with a focus on large scale distributed systems.
  • Strong coding skills in at least one programming language, such as Java, Python, or Go.
  • Strong conviction in software development best practices, including version control, automated testing, and continuous integration and delivery.
  • Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems.
  • Experience with managing kubernetes clusters and applications at scale.
  • Experience deploying applications on one or more cloud platforms such as AWS, Google Cloud Platform or Microsoft Azure.
  • Experience defining and owning reliability focussed systems and processes (e.g. Incident Management, Post-mortem).
  • Experience with software development related compliance processes (e.g. Soc2, FedRAMP).
  • Experience with the following tech stack:
  • Infrastructure-as-code (e.g. Terraform, Cloudformation)
  • Automation frameworks (e.g. Jenkins, CircleCI)
  • Monitoring stacks (e.g. Prometheus and ELK)
  • Cloud security management (e.g IAM, SSO)
  • Data processing technologies like Spark.
Responsibilities
  • Own our entire live production infrastructure and operational posture to run massive data systems at scale.
  • Ensure our services remain resilient by identifying opportunities for improvement and drive their implementation.
  • Identify opportunities to improve our overall operational efficiency and growing by owning the modern tools in our cloud-only operation and our practices for proactive automation, monitoring and response.
  • Act as a mentor to guide cross-functional teams during crisis situations and ensure timely resolution, minimizing the impact on our customers and business.
  • Build and own our reliability engineering practice from the ground up, owning our entire production infrastructure and operational posture.
  • Establish a culture of reliability across engineering by providing a comprehensive incident management platform that is being used for instrumentation, operability, and around incidents.
  • Design, implement and maintain new services, tools, and monitoring to support service reliability and alerting.
  • Serve as an active member of our SRE team, responding to and managing high severity incidents or any situations concerning the wellbeing and continuous operation of our mission-critical systems.
  • Collaborate with your stakeholders across engineering teams to ensure continuous adoption of best practices, rollout scenarios for the space, and that services are designed with reliability in mind.
  • Continuously analyze and evaluate the tradeoffs of the existing designs and make recommendations based on new technologies and industry best practices.
  • Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management and launch reviews.
  • Maintain services once they are live by measuring and monitoring availability, latency and overall system health through an intimate understanding of how the critical parts of our site work.
  • Contribute to better incident management posture and retrospectives, driving improvements in our overall reliability and incident response time as well as on-call runbooks and post-mortem reports.
  • Drive our compliance posture; ensuring that all our products and processes comply with relevant regulations and standards, especially during compliance audits.

Onehouse.ai offers a data lakehouse solution that helps businesses manage and optimize their data efficiently. Their main product is a fully managed service that allows clients to organize various types of data seamlessly, using formats like Apache Hudi, Apache Iceberg, and Delta Lake. This service automates data management tasks such as clustering, compaction, and encryption, making it easier for businesses to handle their data without needing extensive engineering resources. Onehouse.ai stands out from competitors with its usage-based pricing model, which can reduce data management costs by 50% or more compared to traditional solutions. The goal of Onehouse.ai is to simplify data management for businesses of all sizes, enabling them to scale their data operations while minimizing costs.

Company Stage

Series A

Total Funding

$33M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

0%

1 year growth

16%

2 year growth

75%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $35M in Series B funding and launching new products enhances Onehouse.ai's ability to innovate and expand its market presence.
  • Partnerships with industry giants like Microsoft and Google for the OneTable project highlight Onehouse.ai's influence and potential for reshaping the cloud data lake landscape.
  • Winning the 2023 Digital Innovator Award from Intellyx underscores Onehouse.ai's leadership and recognition in the digital transformation space.

What critics are saying

  • The competitive landscape in data management and cloud computing is intense, with major players like Snowflake and Databricks posing significant challenges.
  • Reliance on open-source technologies may lead to slower adoption rates among enterprises wary of open-source solutions.

What makes Onehouse unique

  • Onehouse.ai's focus on open storage and interoperability with multiple table formats like Apache Hudi, Iceberg, and Delta Lake sets it apart from competitors who may lock clients into proprietary systems.
  • The usage-based pricing model offers a cost-effective alternative to traditional cloud data warehouses, reducing data management costs by 50% or more.
  • Onehouse.ai's automated data management features, such as clustering, compaction, and encryption, provide a seamless and optimized data experience without extensive engineering resources.