Senior Software Engineer, Tecton

Compute Infrastructure

$197-237k

Salary applicable to candidates based in California & New York. Plus equity

AWS

GCP

Python

Spark

Prometheus

Pulumi

Senior and Expert level

New York

San Francisco Bay Area

Remote from US

The feature platform for machine learning

Be an early applicant

The feature platform for machine learning

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSData Analysis

Be an early applicant

$197-237k

Salary applicable to candidates based in California & New York. Plus equity

AWS

GCP

Python

Spark

Prometheus

Pulumi

Senior and Expert level

New York

San Francisco Bay Area

Remote from US

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 programming, debugging, and performance tuning distributed and/or highly concurrent software systems
Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, with strong proficiency in building high-throughput infrastructure
Experience building infrastructure orchestration systems (dynamically provisioning cloud infrastructure, virtual machines, containers, load balancing, etc)
Experience building platforms (e.g. technology for internal stakeholders)
Experience with at least one of: AWS, GCP

Desirable

Experience with Python runtimes, dependency resolution, and container sandboxing
Experience with the following technologies: Pulumi, Ray, Spark, hosted Spark providers (Databricks/EMR/Dataproc/etc), Prometheus

What the job involves

The Compute Infrastructure team creates building blocks that power Tecton’s data computation engine. We make it easy to spin up new highly available and performant compute workloads across our Batch, Streaming, and Realtime use-cases, for both Spark and our in-house Rift Platform
Build re-usable platform components which implement cross-cutting solutions in compute workload orchestration like reconciliation, auto-scaling, observability, and dependency installation/management
Own and evolve our Spark integrations with platforms like Databricks and EMR, exposing the right details while abstracting the “hard parts” away from up-stream product use-cases
Dynamically launch infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements
Assess and prioritize tasks, demonstrating a keen awareness of performance-critical areas

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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