Site Reliability Engineer, Dataiku
Cloud
Collaborative data science platform
Be an early applicant
Collaborative data science platform
1001+ employees
Be an early applicant
1001+ employees
Company mission
To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.
Role
Who you are
- Hands-on expertise working with Docker and Kubernetes
- Strong experience leveraging cloud resources from different providers
- Hands-on experience with Infrastructure as code tools (Terraform/Ansible, Helm.),
- Knowledge of distributed systems like Hadoop and Spark
- Solution-oriented and automation first mindset
What the job involves
- Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product
- From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and cntribute to the collective knowledge of global tech innovators
- Design, deploy and maintain a cloud infrastructure to support a Dataiku SaaS offering
- Continuously improve the infrastructure, deployment and configuration to deliver more reliable, resilient, scalable and secure services
- Automate as much as possible all technical operations
- Troubleshoot cloud infrastructure, systems, network, and application stacks
- Setting up monitoring, logging and tracing tools to detect and fix any potential issues
Application process
- Initial call with a member of our Tech Recruiting team
- Video call with an Engineering Team Lead
- Home technical Assessment to show your skills
- Debrief of your Tech Assessment with two engineering team members
- Final Interview with a VP Cloud
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
39% female employees
9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $845.7m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from anywhere policy that allows employees to work from their place of choice up to four weeks per year
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. Weʼve developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
- ➔ Weʼre one team, all shareholders. We offer equity to all employees
- ➔ Onsite meals and healthy snacks
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
Flatiron District, New York, NY
Articles
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
Salary benchmarks
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Diversity, Equity & Inclusion at Dataiku
Laurie du Boullay (Head of Culture)
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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