Principal Software Engineer, DataRobot
Efficiency
Value-Driven AI for business
Be an early applicant
Value-Driven AI for business
1001+ employees
Be an early applicant
1001+ employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- We are seeking an individual who can blend deep technical expertise with business acumen, creative thinking and leadership to drive innovation in application development, cloud operations, FinOps, and platform engineering
- Proficiency in programming languages, such as Python or Golang and experience with large-scale systems design
- Strong experience and engagement in the Kubernetes ecosystem
- Experience with observability tools (Prometheus, CloudWatch, and OpenTelemetryl)
- Strong experience with scalability, performance optimization, and high availability in large-scale distributed systems across public and private clouds
- Ability to plan and lead projects from start to predictable completion, explain your design decisions
- Strong communication skills, sense of ownership, and the ability to collaborate across teams and departments
- Proactiveness in identifying and solving the most complex problems
- Track record of improving software systems that are critical to the business
- Ability to anticipate implementation issues based on technical designs and offer suggestions
- Ability to stay on top of recent developments in Generative AI, effectively integrating them with existing platform
- Ability to plan several quarters ahead and build clear technical vision together with other stakeholders
- 10+ years of professional software development
- Experience working in a multi-cloud environment, building Kubernetes applications
- Experience optimizing Kubernetes applications and developing scale-to-zero strategies for a variety of service types (worker pools, timed tasks, occasionally used micro-services, etc)
- Experience optimizing infrastructure usage across storage, database, network, and CPU
- Experience building applications for various business domains
What the job involves
- As a Principal Software Engineer, you will work across the product to drive and improve the efficiency of our AI Infrastructure
- In this critical role, you will own and lead the architectural direction across all layers of the platform, ensuring performance, scalability, reliability, and cost-efficiency at scale
- You will be providing technical leadership, while collaborating with engineering teams to ensure cohesive, future-proof designs
- You will also be responsible for guiding the evolution of DataRobot's infrastructure, that powers DataRobot’s unified platform for generative and predictive AI to meet the long-term technical and operational needs
- Together with engineers assigned to key product areas for infrastructure, training, and predictions, you will discover, research, and implement major projects to dramatically reduce the total cost of our ownership for all our customers
- Our principal engineers are also responsible to lift up everyone around them and contribute to the excellence of every engineer in the organization
- Design, build and operate products for end-users powered by machine learning and Generative AI
- Shape the technical vision and long term roadmap for cloud infrastructure and DevOps across DataRobot, in alignment with our business goals and long-term growth strategies
- Act as a technical advisor to cross-functional leadership, influencing DataRobot-wide technology decisions and ensuring cohesive strategies across different engineering teams
- Well-versed in one of the programming languages and writes maintainable and production-grade Python/Golang, Helm, and Terraform code
- Drive innovation in observability and FinOps tooling to drive unit cost reductions
- Technically discover, scope, and lead high-value cost-avoidance projects across organizational boundaries
- Create an ownership model that clarifies boundaries of cost accountability and empowers engineering leaders to be fully accountable for their areas of the platform, with all the necessary tools for cost visibility as well as resources and levers to control them
- Drive efficiency of storage, memory, network, GPU, and CPU across all services and clouds
- Provide technical guidance and mentorship to senior engineers and technical leads, influencing and guiding their work when needed
- Research and propose new technologies for improved efficiencies. Identify technical risks in our infrastructure, ensuring resilience, and working on strategies to mitigate these risks for large-scale, mission-critical systems
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognized as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company values
- Be You - We are co-contributors to our culture committed to diversity, inclusion, equity and a sense of belonging throughout our global community. We value each person as their authentic self and welcome honest and respectful dialogue as an avenue to greatness.
- Dream Big - We don’t settle for the status quo. We always pursue the development of the next version of ourselves. We believe investment in the growth and resilience of our people is the foundation of building an iconic company.
- Better Together - We celebrate success and learn from failure as one team. We foster an aligned, collaboration-first workplace by building trust through transparency, integrity and accountability
- Champion Customers - We empower our customers and our communities by shaping the future of trusted, augmented intelligence in order to solve their most difficult problems. We are humble, not complacent. We succeed when they succeed.
- Be Data-Driven - We believe data-driven decision making enables innovation and execution at velocity while ensuring repeatable success. We take on the toughest challenges as we transform the world with our platform and AI.
Company HQ
Financial District, Boston, MA
Articles
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
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