Staff Software Engineer, Tecton

Realtime Data

$216-258k

Salary information is for applicants based in California & New York only + Offers competitive equity

SQL
AWS
Docker
Kubernetes
Python
Java
Go
Kotlin
Senior and Expert level
New York
San Francisco Bay Area
Tecton

The feature platform for machine learning

Open for applications

Tecton

The feature platform for machine learning

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSData Analysis

Open for applications

$216-258k

Salary information is for applicants based in California & New York only + Offers competitive equity

SQL
AWS
Docker
Kubernetes
Python
Java
Go
Kotlin
Senior and Expert level
New York
San Francisco Bay Area

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSData Analysis

Company mission

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

Role

Who you are

  • 7+ 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 with Database Query Engines
  • Experience with at least one of AWS, GCP
  • Experience with low latency online storage like DynamoDB, Redis, and BigTable
  • Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3

What the job involves

  • Develop and communicate a clear 18-month technical vision to align the team and guide our development efforts
  • Architect and implement solutions to scale our serving platform to handle millions of requests per second with low latency and high availability
  • Evolve Tecton’s query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs)
  • Build an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces
  • Launch our serving 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

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Insights

Top investors

17% female employees

33% employee growth in 12 months

Company

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

Funding (last 2 of 4 rounds)

Jul 2022

$100m

SERIES C

Dec 2020

$35m

SERIES B

Total funding: $160m

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.

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Steph

Company Specialist at Welcome to the Jungle