Software Engineer, MotherDuck
DevOps
+ Stock Options
3+ days a week in office
Data analytics platform
Be an early applicant
Data analytics platform
21-100 employees
Be an early applicant
+ Stock Options
3+ days a week in office
21-100 employees
Company mission
To radically transform the data analyst user experience.
Role
Who you are
- We are looking for a solutions-oriented, collaborative, creative teammate who is excited to roll up their sleeves and get to work
- Proven experience as a DevOps Engineer, Site Reliability Engineer, Systems Administrator, or related role
- Experience with at least one major cloud provider (AWS, Google Cloud Platform, or Azure) and confidence in your ability to quickly familiarize yourself with another
- Strong experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI, CircleCI)
- Solid understanding of containerization technologies like Docker and orchestration tools like Kubernetes
- Experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation
- Experience with monitoring tools like Prometheus, Grafana, Datadog, or similar
- Excellent written and verbal communication skills
- Strong scripting skills in Python, Bash, or similar languages
- Familiarity with security best practices, including IAM, VPC configurations, and data encryption
- Excellent problem-solving skills and the ability to thrive in a collaborative, fast-paced environment
Desirable
- Experience with large-scale distributed systems, multi-region and multi-cloud a plus
- Experience with or interest in testing and testing strategies
- Knowledge of database systems and optimization
- Direct experience building, maintaining, and supporting infrastructure tools and mission-critical systems
- Experience working and collaborating with an internal customer such as a development team, support team, or similar
What the job involves
- We are a small but mighty team of globally-distributed engineers responsible for building and maintaining the infrastructure, CI/CD, monitoring and observability, and assorted internal tools that keep the MotherDuck development lifecycle running smoothly
- We are scrappy and responsive; we value agency, bias to action, and willingness to learn new things when necessary
- At MotherDuck, we're redefining the future of cloud-based data analytics by building innovative solutions that transform the way businesses manage and analyze data
- As we continue to scale, we're looking for a talented DevOps Software Engineer to join our flock and help streamline and support our existing infrastructure, ensuring reliability, scalability, and efficiency across all of our platforms
- Design, implement, and manage scalable infrastructure using cloud-native technologies (our stack is primarily deployed in AWS, but multi-cloud is on the horizon)
- Maintain, troubleshoot, and continuously improve existing CI/CD pipelines to ensure seamless integration and deployment processes
- Collaborate with development, security, and operations teams to implement best practices in automation, monitoring, and performance tuning
- Manage infrastructure as code (IaC) using Terraform
- Automate routine tasks to reduce manual effort and minimize downtime
- Monitor system performance, troubleshoot issues, and ensure high availability of services
- Implement robust security practices and ensure compliance with industry standards
- Assist with incident response and ensure effective post-mortem analysis to continuously improve system reliability
- Participate in on-call rotation staffed by engineers across development and operations teams
Our take
In the increasingly complex landscape of data analytics, the challenges faced in managing and extracting meaningful insights from large datasets are on the rise. Conventional approaches, often involving distributed architectures and petabyte-scale data solutions, can be cumbersome, expensive, and less user-friendly for the majority of users who do not operate at such a large scale.
MotherDuck, recognizing this issue, has emerged as a solution provider with its serverless, user-friendly data analytics platform. Leveraging the power of the open-source database DuckDB, MotherDuck aims to simplify the scale-up approach to SQL analytics, offering a faster, more cost-effective alternative for the 95% of analysts who do not require petabyte-scale data solutions.
Having secured funding in 2023, the company is now well-positioned to further enhance its platform and expand its user base. As MotherDuck continues to collaborate closely with the DuckDB team and integrate user feedback for enhancements, the company is also poised to play a pivotal role in the evolution of serverless data analytics.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2023
$52.5m
SERIES B
Nov 2022
$35m
SERIES A
Total funding: $100m
Company benefits
- Unlimited Paid Time Off
- 401k plan
- Regular offsites in hub or exotic locations
Company HQ
Central Business District, Seattle, WA
Leadership
Jordan Tigani
(Co-Founder & CEO)Previously the CPO at SingleStore. Prior to that, they were a Product Leader, Engineering Leader, and Founding Engineer on Google BigQuery.
Ryan Boyd
(Co-Founder)Currently a Partner at HyperGrowth as well as an Advisor at SparrowLabs. With a background in Coding, Leadership, and Management working at Google, Flux, and Databricks.
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