Software Engineering (Mid Level)

Software Engineer (Mid-Level)
Location: Remote (US)
Department: Insights (AI/ML)
Reports to: Engineering Manager
About The Role
Irth is building a new AI-driven threat and risk management platform for pipeline asset integrity. The platform brings together three capabilities that have never previously lived in one place at Irth:
A governed, cross-product data platform built on Databricks and Azure
An AI-powered ingestion layer that normalizes, repairs, and enriches customer data without services-heavy onboarding
A reusable analytical layer that runs industry-standard, Irth-developed, and customer-built risk models against that data
We are seeking a mid-level, full-stack Application Software Engineer to build both the interfaces operators use and the services behind them.
On the front end, you will build production applications in TypeScript and React, translating UX designs into intuitive, reliable interfaces that faithfully reflect the intended design.
On the back end, you will build APIs and services in TypeScript and Python that connect the application to the data platform and analytical layer.
Your work will include:
Interfaces for configuring models and threat parameters
Execution paths that run analytical models and return results
Map and dashboard views that surface risk scores and supporting evidence
Services and frameworks that allow customers to deploy and run their own models on the platform
You will join at a point where these interfaces are being defined rather than maintained, giving you meaningful opportunity to shape the product and its technical foundation.
Our users are integrity engineers making consequential decisions based on dense, technical information. The front-end experience is therefore closer to building a sophisticated professional application than a traditional marketing surface.
Key Responsibilities2. Back-End & API Development3. Customer Model Deployment Framework4. Quality, Security & Performance5. Collaboration
Front-End Development — Primary Responsibility
Build production user interfaces in TypeScript and React, implementing UX designs faithfully across layout, interaction behavior, and visual details
Work from design files and prototypes; identify and raise gaps, edge cases, and ambiguities with designers before implementation rather than making assumptions silently
Build model configuration and threat-selection experiences, including:
Multi-step workflows
Parameter forms
Input validation
Clear error and recovery states
Build data-dense interfaces, including:
Sortable and filterable result tables
Dashboards
Drill-down experiences from system to segment level
Map-based visualization of risk across pipeline geometry
Design interfaces for long-running analytical operations, providing meaningful progress indicators, partial results, and recovery from failures
Build reusable, well-typed components and contribute to a consistent component library and design-system implementation
Ensure responsive behavior, accessibility, and cross-browser compatibility across applications
Design and build REST APIs in TypeScript and Python for model configuration, execution, and results retrieval
Establish clear API contracts, versioning strategies, and maintainable service boundaries
Build execution and orchestration services for analytical workloads, including:
Long-running jobs
Status tracking
Result persistence
Failure handling and recovery
Implement event-driven and asynchronous patterns so analytical results can be delivered without blocking the user interface
Design and implement database schemas and queries across the application data store and lakehouse serving layer
Integrate with Databricks and Azure services, including:
Model serving endpoints
Azure Storage
Azure Functions
API Management
Container-hosted services
Write and maintain OpenAPI specifications and ensure interactive API documentation remains accurate as contracts evolve
Build the end-to-end experience that allows customers to deploy, configure, and execute their own models within product workflows, across both front-end and back-end systems
Implement connection and data-mapping workflows, including:
Guided wizards
Templates
Input validation
Customer-supplied data mapping
Build results-integration capabilities so customer model outputs can be displayed and aggregated alongside industry and Irth model outputs
Implement isolation and governance controls to ensure customer-deployed code runs safely within appropriate tenant boundaries
Write automated tests across the stack, including:
Component and interaction tests on the front end
Unit tests on the back end
Integration tests across services and APIs
Monitor, troubleshoot, and optimize application responsiveness and API performance under realistic analytical workloads
Implement authentication, authorization, and tenant isolation using the platform's identity and secrets-management services
Identify, assess, and remediate security vulnerabilities in application code, infrastructure integrations, and dependencies
Participate in code reviews and contribute to CI/CD pipelines and deployment automation
Partner closely with Design on feasibility, interaction details, edge cases, and design-system consistency
Work with data engineers and data scientists to define clear interfaces between application, data, and model layers
Partner with Product and QA on requirements, edge cases, acceptance criteria, and release readiness
Contribute to:
Technical and design reviews
Architecture and decision records
Engineering standards
Reusable development practices
Requirements
Required Qualifications
3-5 years of professional full-stack software development experience
Strong TypeScript and React experience, including hooks, state management, component composition, and performance optimization for data-heavy interfaces
Demonstrated ability to implement UX designs faithfully, with strong attention to spacing, component states, transitions, and interaction details
Strong back-end development experience in TypeScript and Python, including building and consuming REST APIs in production
Proficiency in relational database design, query development, and query optimization
Hands-on experience with a major cloud provider; Azure preferred, including managed compute, storage, API gateway, secrets management, and monitoring services
Experience with event-driven architecture, queues, or pub/sub systems for asynchronous processing and result delivery
Experience with modern front-end tooling and testing, including build systems, package management, and component or end-to-end testing frameworks
Proficiency with Git and branch-based development workflows
Understanding of DevOps practices, including CI/CD pipelines, automated testing, and deployment automation
Experience with vulnerability management and remediation, including dependency scanning and security patching
Strong problem-solving skills and attention to detail
Preferred Qualifications
Experience building data-dense professional or analytical interfaces, including large tables, dashboards, filtering, and drill-down workflows
Experience with mapping and geospatial visualization libraries
Experience with charting and data visualization libraries
Familiarity with design tooling and design-system implementation, with the ability to work directly from design files
Experience with OpenAPI or Swagger specifications and API documentation tooling
Experience with Databricks, Apache Spark, or distributed data-processing platforms
Experience integrating machine learning model-serving endpoints into application workflows
Experience with containerized deployment and orchestration
Experience building multi-tenant SaaS applications with per-tenant isolation
Experience using AI-assisted coding tools, such as Cursor or GitHub Copilot, and/or agentic coding tools, such as Claude Code, as part of a professional software-development workflow
Nice to Have
Exposure to asset integrity, damage prevention, land management, or stakeholder engagement domains
Experience building software where outputs must be auditable and traceable for regulatory purposes
Experience with plugin or extension frameworks designed to run third-party code safely
Experience with accessibility standards, including WCAG conformance
Experience contributing to a shared component library used across multiple products
Success Metrics
Success in this role will be measured by:
Shipping interfaces that faithfully match provided UX designs and perform reliably with real-world customer data volumes
Delivering reliable, well-documented APIs that other teams can build against independently
Delivering end-to-end model configuration and execution workflows

Work arrangement
Yes