Job description
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 Responsibilities
1. 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.
2. Back-End & API Development
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.
3. Customer Model Deployment Framework
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.
4. Quality, Security & Performance
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.
5. Collaboration
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 for industry, Irth, and customer-supplied models.
Launching the customer model deployment framework and supporting its adoption by real customers.
Maintaining interface responsiveness and API performance within established targets under realistic analytical workloads.
Maintaining a low defect escape rate and ensuring there are no critical unresolved security findings.
Demonstrating effective collaboration across Design, Data, Model, Product, QA, and Engineering teams.
Benefits
Benefits
Competitive Salary – A competitive compensation package based on experience and qualifications.
Medical, Dental, and Vision Insurance – Comprehensive insurance coverage to support you and your family.
401(k) Plan with Company Match.
Generous Paid Time Off (PTO) – Time off to support work-life balance and personal needs.
Company-Paid Holidays – Paid holidays throughout the year.
Flexible Work Options – Work-from-home opportunities are available, depending on role and business needs.
On-Call Compensation – Additional pay for eligible on-call shifts.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.