Senior DevOps Engineer, Labelbox
$190-225k
Data training platform for ML applications
Open for applications
Data training platform for ML applications
101-200 employees
Open for applications
$190-225k
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related field, with a proven track record of managing and scaling cloud-based infrastructure
- Expert knowledge of Kubernetes, Containers, Helm, and Terraform
- Proficiency with CI/CD tools and practices (e.g., GitHub Actions, GitLab, etc), with experience in optimizing and maintaining pipelines
- In-depth knowledge of cloud platforms (e.g., Google Cloud, AWS, Azure), including best practices for security, networking, and cost management
- Enjoy hands-on troubleshooting and tracing problems through applications and networks
- Programming/scripting languages like Bash, Python, JavaScript, etc
- Due to current team needs, we are only considering candidates based in the San Francisco Bay Area
Desirable
- Experience with maintaining Postgres, MySQL, and Redis
- Experience with Datadog
- Experience with application and infrastructure security practices
- Experience using APM metrics to resolve application performance issues
What the job involves
- As a Senior DevOps Engineer at Labelbox, you will not only play a crucial role in shaping and implementing our DevOps strategies but also in driving our company's growth
- Your innovative solutions and scalable designs will be key in meeting our evolving needs. You will lead the efforts in ensuring our systems are resilient, secure, and efficient, and your expertise will guide critical decisions around our infrastructure architecture
- Collaborate with teams to integrate and deploy new features and services
- Continuously optimize our CI/CD pipelines to improve speed, reliability, and maintainability
- Conduct code reviews for pull requests, ensuring high standards of quality and consistency
- Participate in the team’s on-call rotation, providing timely and effective support
- Diagnose and resolve production issues, minimizing downtime and ensuring system stability
- Lead efforts in monitoring, troubleshooting, and ensuring security and compliance
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- Flexible vacation policy (we don't count PTO Days)
- 401k Program
- College savings account
- HSA
- Daily lunches paid for by the company (especially convenient while working from home)
- Virtual wellness and guided meditation programs
- Dog-friendly office
- Regular company social events (happy hours, off-sites)
- Professional development benefits and resources
- Remote friendly (we hire in-office and remote employees)
Company values
- Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
- Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
- Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions
Company HQ
Mission District, San Francisco, CA
Articles
Leadership
Brian Rieger
(COO)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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