Software Engineer, Tecton

Application Frameworks

$197-237k

Salary applicable to candidates based within California & New York only; + Equity

AWS

Kubernetes

GCP

Python

Postgres

Kotlin

Azure

Bazel

Senior and Expert level

New York

San Francisco Bay Area

Remote from US

More information about location

The feature platform for machine learning

Open for applications

The feature platform for machine learning

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSData Analysis

Open for applications

$197-237k

Salary applicable to candidates based within California & New York only; + Equity

AWS

Kubernetes

GCP

Python

Postgres

Kotlin

Azure

Bazel

Senior and Expert level

New York

San Francisco Bay Area

Remote from US

More information about location

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSData Analysis

Company mission

To transform the way companies solve real-world problems with machine learning.

Job

Company

Role

Who you are

5+ years of experience in designing, implementing, and maintaining software systems, with demonstrated expertise in building core platforms/frameworks that enable multiple other engineering teams
Excellent communication and collaboration skills, and ability to write detailed technical specifications
Experience with at least one of AWS, GCP, or Azure (AWS experience strongly preferred)
Experience with the following technologies is preferred / a bonus, but we don’t expect every candidate to have experience with them all: Python, Kotlin, Bazel, Kubernetes, gRPC, Postgres
Degree in Computer Science or related field, or equivalent practical experience

What the job involves

The Foundations team at Tecton is focused on creating building blocks that enable Tecton’s engineering organization to quickly ship high-quality software
Our focus spans a wide range of domains, from build systems and test infrastructure to the core frameworks and platforms that Tecton’s products are built upon
We collaborate across the engineering organization to identify friction points in building software at Tecton and build platforms, frameworks, and tools to solve them
We are looking to bring on an Application Frameworks-focused engineer with experience building frameworks/platforms/infrastructure that abstract core technical challenges and enable other engineering teams to land product value more rapidly
Design and implement frameworks, platforms, and services that provide foundational capabilities across Tecton (think: long-lived workflow management, application configuration, database migrations)
Define and drive adoption of core technical standards across Tecton - refine how we use fundamental technologies (think: linters, dependency injection, logging)
Collaborate across engineering teams to identify friction points and design solutions which both meet current needs and generalize to broader cross-team challenges
Collaborate with cross-functional partners like Security and Finance to help define how engineering tackles cross-cutting engagement points with those partners
Empower the organization to “shift left” development and testing through thoughtful test framework / test data management paradigms

Our take

Tecton provides an innovative solution that makes it possible for all companies to benefit from machine learning, regardless of their level of expertise and experience. The company is committed to the democratisation of artificial intelligence, believing that it is something that all businesses should be able to access, not just the privileged few.

As part of this process, Tecton provides a range of services, ensuring that machine learning applications can be built at business level. The experience of the company makes it possible for businesses to implement machine learning projects in real-time, and then use them to derive insights from the best data available.

Tecton also offers what it believes to be the first enterprise-ready feature store for machine learning, enabling data scientists and engineers to build a library of great features and serve them in production. The unique nature of its product coupled with the CEOs' experience at Uber and Google elevates Tecton above other machine learning companies. With 2022's series C funding, Tecton has been scaling its engineering and go-to-market teams and positioning itself well for future growth.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

17% female employees

33% employee growth in 12 months

Glassdoor (4.8)

Company

Funding (last 2 of 4 rounds)

Jul 2022

$100m

SERIES C

Dec 2020

$35m

SERIES B

Total funding: $160m

Company benefits

Comprehensive health plans = Our health plan options give you the flexibility to select the right coverage for you and your family. We cover 100% for employees and 80% for dependents
Remote-friendly work environment - We are remote-friendly and make it easy for our people to be in the office if they want to be
Parental leave - We offer 8-16 weeks of paid leave to spend quality time with family
Competitive salary, equity and 401(k) savings plans - We offer meaningful compensation and equity packages that reflect our commitment to hire the best talent
Wellbeing benefits - We provide a range of benefits that holistically support your physical, mental, and financial wellbeing
Flexible time off - There is life outside of work. Our flexible policy means every employee is encouraged to take the time they need to rest and rejuvenate

Company HQ

Mid-Market, San Francisco, CA

Leadership

Mike Del Balso

(CEO)

Product Manager at Google, then Senior Product Manager at Uber - where they were responsible for Michelangelo. Co-founded Tecton in 2018.

Kevin Stumpf

(CTO)

MBA Stanford. Co-found and CTO at Dispatcher. Technical Lead at Uber, involved in Michelangelo project. Co-founded Tecton in 2018.

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