Senior/Staff Software Engineer

SewerAI Corporation

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Location: United States
Job Type: full-time
Work Format: 🌍 Remote
Salary: $160K – $180K
Posted: November 13, 2026

Job Description

About SewerAI Corporation

SewerAI is transforming underground infrastructure management through AI-powered inspection and risk analysis. Our platform helps contractors, engineering firms, and utilities unlock valuable insights from sewer inspection data—turning hours of manual video review into actionable intelligence in minutes. After doubling our customer base over the past year, we’re now entering an exciting phase of accelerated growth.

About the Role

We're seeking an experienced Senior Full-Stack Software Engineer to join our SewerAI team working on an innovative automated sewer inspection analysis and management platform. You'll work on cutting-edge technology that combines computer vision, geospatial analysis, and modern web development to help municipalities and contractors maintain critical infrastructure.

What You'll Work On

AI-Powered Sewer Inspection: Build systems that process video inspections using computer vision and machine learning to automatically identify defects and conditions
Geospatial Analysis: Develop tools for mapping and analyzing sewer infrastructure with real-time
risk assessment
Workflow Orchestration: Create robust data processing pipelines using Temporal.io for large-scale video analysis
Real-Time Dashboards: Build interactive React frontends with mapping, data visualization, and video playback capabilities
API Development: Design and implement scalable TypeScript APIs serving municipal agencies and contractors

Required Technical Skills

Frontend Development

React 18+ with TypeScript - building complex, interactive user interfaces
Modern CSS/Tailwind - responsive design and component styling
WebGL/Canvas Graphics - for geospatial visualization and video annotation
Mapping Libraries - interactive geographic data visualization
State Management (Zustand, React Query) - complex application state handling

Backend Development

Node.js/TypeScript - building high-performance APIs with Fastify
PostgreSQL/PostGIS - complex database queries and geospatial operations
Prisma ORM - database schema management and migrations
RESTful API Design - OpenAPI/Swagger documentation

Infrastructure & DevOps

Docker/Containerization - microservices deployment
AWS Cloud Services (Lambda, ECS, S3, RDS) - scalable infrastructure
CI/CD - automated testing and deployment pipelines

Nice-to-Have Skills

Computer Vision (OpenCV) - video processing and defect detection
Temporal.io - workflow orchestration for data processing pipelines
Geospatial Analysis (GeoPandas, Shapely) - infrastructure mapping
Machine Learning - AI model integration and evaluation
Real-Time Systems (WebRTC) - live video streaming
Data Analytics (ClickHouse, dbt) - large-scale data processing

Architecture You'll Work With

Monorepo structure using Turborepo with npm workspaces
Microservices architecture with shared PostgreSQL database
Event-Driven workflows using Temporal.io orchestration
Modern Stack: React + TypeScript frontend, Fastify APIs, Python data services
Cloud-First: AWS infrastructure with containerized deployment

What We're Looking For

5+ years of full-stack development experience
Strong TypeScript/JavaScript skills with modern frameworks
Database expertise with PostgreSQL and complex queries
API design experience with REST and real-time systems
Cloud deployment experience, preferably AWS
Problem-solving mindset with attention to detail
Collaborative approach to working in a team environment

Bonus Points

Experience with geospatial data or GIS systems
Computer vision or image processing background
Municipal/infrastructure domain knowledge
Open source contributions
Workflow orchestration systems experience

What You'll Gain

Work on meaningful infrastructure that impacts communities
Cutting-edge technology at the intersection of AI, geospatial analysis, and web development
Full-stack ownership from data processing to user interface
Modern development practices with comprehensive testing and CI/CD
Growth opportunities in a fast-moving, innovative environment

Team & Culture

Join a team that values technical excellence, collaborative problem-solving, and continuous learning. We use modern development practices including comprehensive testing (Playwright E2E, Jest unit tests), code reviews, and automated deployment pipelines. This role offers the opportunity to work with a sophisticated technology stack while solving real-world infrastructure challenges that matter to communities nationwide.

Salary/Benefits

$160,000 - $180,000 a year

The compensation range provided is in compliance with state specific laws. Factors that may be used to determine your actual rate of pay include your specific skills, years of experience and other factors.

Benefits include:

Medical, Dental, Vision, Basic Life, 401K and much more
Unlimited PTO
Tools you need to get the job done
Competitive salary and potential equity based remuneration
Budget for courses, books, conferences – your development is important to us.

Why Join SewerAI?

Join the fastest-growing team in wastewater tech and help modernize critical infrastructure with AI. You’ll own high-visibility projects, influence how our brand meets the market, and see your work drive measurable impact for customers and communities.

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SewerAI is proud to be an Equal Opportunity Employer. We are committed to providing a workplace free from discrimination or harassment on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. All your information will be kept confidential according to EEO guidelines.

🎯 Who is this job for?

This role is suitable for a Senior/Staff-level full-stack software engineer with 5+ years of experience building production-grade web platforms and scalable cloud services.

The candidate should be skilled in TypeScript, React, Node.js/Fastify, PostgreSQL/PostGIS, REST APIs, Docker, AWS, CI/CD, and modern state management, with bonus experience in computer vision, geospatial systems, Temporal.io, machine learning, or real-time video.

They should be comfortable owning end-to-end tasks such as designing APIs and database schemas, developing interactive mapping and video dashboards, building AI data-processing workflows, deploying microservices, and collaborating on testing, architecture, and code reviews.

💬 Potential Interview Questions

How would you design a Fastify and TypeScript API for serving sewer inspection results, defect annotations, and risk scores?

I would define clear REST resources, validate inputs with a schema library, and document the contracts with OpenAPI. I would separate routing, business logic, and persistence layers, add consistent error handling, authorization, pagination, and observability, and cover the API with unit and integration tests.

How would you model sewer infrastructure and inspection data in PostgreSQL with PostGIS?

I would store infrastructure assets using appropriate spatial types such as geometry or geography, enforce spatial reference systems, and add GiST indexes for location-based queries. Related tables would represent inspections, video segments, defects, and risk assessments, with constraints and indexes designed around common access patterns.

How would you optimize a complex PostGIS query that calculates nearby sewer assets or risk areas?

I would inspect the query plan with EXPLAIN ANALYZE, verify spatial indexes are being used, and avoid unnecessary transformations or full-table scans. I would also simplify geometry operations, filter early, use appropriate bounding-box predicates, and consider precomputed or materialized results for expensive recurring analyses.

How would you structure state management in a React application with Zustand and React Query?

I would use React Query for server state, including caching, synchronization, retries, and mutations, while keeping Zustand for client-only state such as selected assets, playback controls, or UI preferences. This separation avoids duplicating API data and makes cache invalidation and component behavior easier to reason about.

How would you implement interactive video defect annotation using Canvas or WebGL?

I would synchronize the rendering layer with the video’s current timestamp and maintain annotations in normalized coordinates so they remain accurate across resolutions. I would use requestAnimationFrame for smooth updates, spatial or temporal filtering for performance, and carefully handle coordinate transforms, resizing, zooming, and user input.

How would you design a Temporal.io workflow for large-scale sewer video processing?

I would create a durable workflow that coordinates activities such as video retrieval, frame extraction, model inference, result validation, persistence, and notification. Activities should be idempotent, independently retryable, and bounded by timeouts, while workflow versioning and child workflows would support long-running jobs and safe deployments.

How would you make a video-processing pipeline reliable when jobs may run for hours or be retried?

I would use durable object storage such as S3 for intermediate artifacts, deterministic workflow state, idempotency keys, and checkpointed processing stages. I would also make retries selective, isolate failed inputs, expose progress and status to users, and provide cancellation and recovery mechanisms.

How would you deploy this monorepo and microservices architecture on AWS?

I would use Turborepo and npm workspaces for shared packages and incremental builds, containerize services with Docker, and deploy APIs and workers on ECS or suitable serverless components such as Lambda. S3, RDS PostgreSQL, centralized logging, IAM least privilege, health checks, and infrastructure-as-code would support reliability and repeatable environments.

How would you design testing and CI/CD for the React, TypeScript, and data-processing platform?

I would combine Jest unit tests, API integration tests, database or contract tests, and Playwright end-to-end tests for critical workflows such as uploading an inspection and reviewing detected defects. CI would enforce type checking, linting, migrations, security checks, and tests before building versioned artifacts and deploying through staged environments.

How would you integrate a computer vision model into the platform and evaluate its results?

I would isolate inference behind a well-defined service or activity contract, version models and preprocessing logic, and store predictions with confidence scores and provenance. Evaluation should include precision, recall, false-positive analysis by defect type, representative infrastructure samples, and monitoring for data or model drift after deployment.

📋 Job Summary

SewerAI Corporation is transforming underground infrastructure management with AI-powered inspection, computer vision, geospatial analysis, and modern web applications. As a Senior/Staff Software Engineer, you’ll build React and TypeScript interfaces, Fastify APIs, PostgreSQL/PostGIS systems, Temporal.io workflows, and AWS-based services for video analysis and real-time dashboards. This is a full-time, fully remote role offering $160K–$180K plus equity. Apply to own high-impact projects, work with an advanced full-stack technology stack, and help modernize critical infrastructure for communities nationwide.