Senior Software Engineer, Hayden AI

Data Platform

$175-215k

+ Equity + Company-wide bonus plan

AWS

GCP

Python

Scala

Java

Kafka

Linux

Terraform

Redshift

Spark

Flink

Kinesis

Datadog

Senior and Expert level

San Francisco Bay Area

2-3 days a week in office

AI-powered smart traffic enforcement platform

Be an early applicant

AI-powered smart traffic enforcement platform

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Be an early applicant

$175-215k

+ Equity + Company-wide bonus plan

AWS

GCP

Python

Scala

Java

Kafka

Linux

Terraform

Redshift

Spark

Flink

Kinesis

Datadog

Senior and Expert level

San Francisco Bay Area

2-3 days a week in office

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Company mission

To harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science, Engineering, or a related field
6+ years of experience in software or data engineering, focused on large-scale big-data systems and low latency systems
Strong proficiency in Python, Scala or Java for data processing and automation
Hands-on experience with AWS data services such as Kinesis/Kafka, Glue, EMR, Iceberg, Redshift, S3, and Lambda
Solid understanding of data modeling, ETL/ELT design, and distributed data processing (Spark or Flink)
Experience with infrastructure-as-code (Terraform or CloudFormation) and CI/CD automation
Familiarity with data governance, lineage, and observability best practices
Working knowledge of cloud security, IAM, and cost optimization in AWS
Excellent collaboration and communication skills, with experience working cross-functionally with analytics and platform teams
AWS or data engineering certifications are a strong plus

What the job involves

Our Engineering teams work at the cutting edge of technology, leveraging AWS and GCP cloud services and developing our own Linux-based edge devices
As a dynamic startup, we understand the critical importance of cybersecurity in protecting our innovative solutions and ensuring the safety of our digital environment and customer data
We're looking for a passionate Senior Software Engineer to grow our data platform: enabling reliable, scalable, and high-performance data systems across the organization
You will design and build core data infrastructure, optimize data pipelines, ensure data quality and reliability, and collaborate with product and data-science teams to deliver impactful data solutions that power our product and deliver business insights
Evolve the data platform leveraging AWS services such as Kinesis/Kafka, Glue, EMR, Lambda, and Redshift to support streaming, batch, and analytical workloads at scale
Design and implement robust data ingestion and transformation pipelines, ensuring reliability, performance, and schema consistency across diverse data sources
Establish and enforce data quality, validation, and observability standards, building automated checks and alerts using CloudWatch, Datadog and custom frameworks
Optimize data storage and lifecycle management through intelligent S3 partitioning, versioning, and lifecycle policies to balance performance, cost, and retention
Conduct regular performance, scalability, and cost-efficiency audits of data pipelines and warehouses, proactively identifying and resolving bottlenecks or inefficiencies
Ensure data reliability and resilience, implementing redundancy, checkpointing, and replay strategies for real-time and near-real-time data systems
Define and maintain data governance and security best practices, including IAM-based access control, encryption policies, and compliance with internal data standards
Collaborate with Data Science, ML, business and product teams to model multi-modal data effectively, enabling self-service analytics and high-impact insights across the organization
Instrument and monitor data infrastructure using CloudWatch, CloudTrail, and AWS Config, ensuring transparency, traceability, and operational health of data workflows
Lead root-cause analysis and incident response for data platform issues, driving long-term reliability improvements and knowledge sharing across teams
Stay current with AWS and data engineering advancements, evaluating new tools and services to continuously improve scalability, developer velocity, and data accessibility
Mentor other engineers and promote best practices in data architecture, pipeline design, and development across the engineering organization

Our take

Cities around the world are dealing with clogged bus lanes, blocked stops, and traffic violations that slow down public transit and put people at risk. It's a huge problem that most cities face, but one that's often hard to monitor or enforce effectively.

Hayden AI is tackling this problem with its smart, bus-mounted cameras powered by AI. They automatically detect when vehicles block bus lanes or stops, helping cities gather real-time data and tacke action to imprvoe safety and traffic flow. Already in use in cities like New York, LA, and now Barcelona and Braga, it's a neat idea and one that's keeping buses moving and riders safe.

Its work is more than just ticketing, it's about making cities smarter, greener, and safer for everyone and its been making big moves. It just wrapped up its pilot in Portugal that revealed nearly 8,000 violations in just three months, and launched the largest automated enforcement project in Europe in Barcelona. With over $193M raised, the company is certainly growing fast and turning head in the govtech space.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Aug 2022

$4m

LATE VC

Sep 2020

$35m

SERIES B

Total funding: $52.8m

Company HQ

China Basin, San Francisco, CA

Leadership

Vaibhav Ghadiok

(Co-Founder & CTO)

Previously a Robotics Engineer at Nixie Labs, Head of Mapping at NAUTO, and Navigation & Perception Lead at Visible Sensors.

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