Kandji is the Apple device management and security platform that empowers secure and productive global work. With Kandji, Apple devices transform themselves into enterprise-ready endpoints, with all the right apps, settings, and security systems in place. Through advanced automation and thoughtful experiences, we’re bringing much-needed harmony to the way IT, InfoSec, and Apple device users work today and tomorrow.

Some of the smartest money in tech has partnered with Kandji to realize our vision, including Tiger Global, Felicis, Greycroft, First Round Capital, and Okta Ventures. In July 2024, Kandji raised $100 million in capital from General Catalyst, bringing Kandji’s valuation to $850 Million.

Since Kandji’s Series C in 2021, the company has seen a 600%+ increase in annual recurring revenue, and its customer base has grown nearly 4X across 40+ industries. Notable customers include Allbirds, Canva, and Notion, and the company has partnerships with such industry giants as ServiceNow, AWS, and Okta.

Kandji was also named to Forbes’ Next Billion Dollar Startup List 2023 and recognized as a top venture-backed startup with the potential to reach unicorn status.

The Opportunity:

Are you a Data Engineer with several years of building a resilient data platform with business focused capabilities? If so then this opportunity is for you. Joining Kandji as a Staff Data Engineer is a unique opportunity to lead the evolution of our data platform to the next level. You’ll play a critical role in identifying limitations, working with the team to build an actionable roadmap, and establishing best practices to ensure our platform evolves in lock step with the business.

This role offers high visibility and broad influence. You’ll be working closely with senior stakeholders across data, engineering, and product to get the most from our data. You’ll help share how data is collected, governed, and delivered to teams across the organization – enabling faster decision making, deep insights, and more intelligent products. If you’re excited by the challenge of re-architecting for scale while fostering a strong data culture, this is your chance to make a lasting impact.

Required to work on-site 5x a week in our Miami office (Coral Gables)

How You'll Make a Difference Day to Day:

Lead the design and implementation of scalable, resilient data architectures that support current and future business needs without over-engineering.
Drive strategic initiatives to identify and eliminate inefficiencies in data collection and processing workflows, ensuring performance, reliability, and maintainability at scale.
Partner with cross-functional stakeholders to understand data needs and lead the planning of complex, cross-team technical initiatives.
Design and implement robust data observability practices, including usage metrics and monitoring systems to ensure the health and reliability of the data platform.
Work closely with engineers across teams to design efficient data storage and collection systems, with a strong emphasis on Privacy by Design principles.
Champion innovation by evaluating and adopting emerging technologies, tools, and best practices that improve data engineering workflows.
Mentor data engineers and empower data platform users by promoting best practices and maximizing the value of the platform’s capabilities.

Minimum Qualifications:

8+ years of strong data engineering design/development experience in building large-scale distributed data platforms/products
Advanced knowledge of Python, SQL
Familiarity with Apache Kafka, or Kinesis
Proficiency with dbt and data modeling, especially incremental models
Experience architecting and implementing data ingestion platforms, interacting with multiple third-party data sources, and assembling them into actionable structures
Experience in technical leadership for data architectures within greenfield efforts
Experience with both structured and unstructured datasets
Deep experience with workflow management systems (Airflow, Argo Workflows, etc)
Ability to establish and maintain relationships with key stakeholders
Required to work on-site 5x a week in our Miami office (Coral Gables).

Nice to Haves, but NOT Required

Experience with a Security related SaaS product
Familiarity with applying Data Science algorithms and/or ML ops
Experience with a variety of data serialization formats (Avro, Parquet, JSON, Protobuf, etc)

Benefits & Perks

• Competitive salary

• 100% individual and dependent medical + dental + vision coverage

• 401(k) with a 4% company match

• 20 days PTO

• Kandji Wellness Week the first week in July

• Equity for full-time employees

• Up to 16 weeks of paid leave for new parents

• Paid Family and Medical Leave

• Modern Health - Mental Health Benefits - Individual and Dependents

• Fertility Benefits

• Working Advantage Employee Discounts

• Free onsite fitness center

• Free parking

• Lunch 5 days/week

• Exciting opportunities for career growth

• An outstanding, inclusive culture

We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you’re someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you.

At Kandji we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.

Kandji is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law.

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