The Role

We are seeking a passionate and experienced Engineering Lead to join our growing team and play a pivotal role in building our Integrations Platform. As an Engineering Lead, you will own the systems that connect our platform with external partners, data sources, and internal services - enabling seamless, secure, and scalable data exchange.

You will lead the design and development of integration architecture, including robust APIs, data pipelines, and partner integrations, while helping guide technical direction in collaboration with senior engineers and cross-functional stakeholders.

This is a backend-leaning, highly hands-on technical leadership role, where you’ll spend approximately 80% of your time building and 20% driving technical leadership, coordination, and mentorship across the engineering team. You’ll help shape architecture decisions, unblock execution, and establish engineering best practices while remaining deeply embedded in the code.

We’re looking for someone who is excited about technical leadership today and interested in potentially growing into formal people management responsibilities over time as the organization scales.

What You'll Do

• Integrations & Platform Ownership:
  Lead the design and development of our integrations platform, including APIs, data pipelines, and third-party system integrations (e.g., EHRs, partner systems, internal services).
• Technical Leadership:
  Drive the architecture and implementation of scalable, secure, and reliable integration systems. Establish best practices for API design, data modeling, and system interoperability.
• Cross-Functional Collaboration:
  Partner closely with product, design, operations, and external stakeholders to translate integration requirements into technical solutions. Collaborate across US and India-based engineering teams to ensure alignment and execution.
• System Reliability & Performance:
  Own the performance, monitoring, and reliability of integration systems. Proactively identify and resolve bottlenecks, data inconsistencies, and failure points.
• User & Partner Experience:
  Improve the experience for both internal teams and external partners by building intuitive, well-documented, and reliable integration workflows and tooling.
• Architecture & Development:
  Write clean, maintainable, and efficient code while setting standards for the team. Contribute directly to critical parts of the system.
• Mentorship & Team Development:
  Support and mentor engineers through technical guidance, collaboration, and code reviews while helping foster a high-performing engineering culture. There is potential for this role to evolve into formal engineering management responsibilities over time as the team grows.
• Continuous Improvement:
  Stay current with best practices in distributed systems, APIs, and data integration. Continuously improve system scalability, security, and maintainability.

Qualifications

• 5+ years of experience in full-stack or backend-leaning engineering, with strong experience building APIs, integration systems, or distributed backend services
• Experience providing technical leadership, mentoring engineers, or leading complex backend initiatives across cross-functional teams
• Experience building and scaling integration platforms, APIs, or data pipelines in production environments
• Strong understanding of system design, distributed systems, and data flow between services
• Experience working with third-party integrations (e.g., healthcare systems, EHRs, SaaS platforms, or partner APIs) is highly preferred
• Comfortable operating in fast-paced, ambiguous, zero-to-one environments
• Strong product mindset - focused on building practical, reliable solutions that deliver real user and business impact
• Excellent communication skills and ability to drive alignment across technical and non-technical stakeholders
• Experience working with globally distributed teams is a plus
• Interest in healthcare and/or experience working with regulated data (HIPAA, PHI) is a plus
• Familiarity with AI/ML systems and their integration into product workflows is a plus
• Interest in mentoring and growing into broader technical or organizational leadership over time

The Role

We’re building the platform clinicians use to assess, diagnose, and support treatment for children with autism, and we’re looking for engineers who want to work on meaningful, real-world problems in healthcare.

We’re hiring a full stack Software Engineer to join our provider-focused team and help build and scale the systems that power clinician workflows, reporting, and decision-making, enabling faster, more accurate, and more effective care for the families we serve.

In this role, you’ll work across both backend and frontend systems to build the core experiences clinicians rely on every day. You’ll help shape how data moves through the system and how it’s presented in ways that are clear, reliable, and useful in real clinical workflows.

You’ll build and evolve the clinician-facing application, supporting complex workflows such as assessments, session interactions, and report creation, along with the backend services, APIs, and data pipelines that power those experiences.

You’ll collaborate closely with product, design, and other engineers to deliver high-impact, production-ready systems across the stack.

This is an early-stage environment where you’ll own systems end-to-end, influence architecture decisions, and help shape both the product and engineering direction as we scale.

What You'll Do

• Develop and enhance frontend applications that support complex clinician workflows, including assessments, session interactions, and report creation
• Build, maintain, and improve backend services, APIs, and data models that power clinician workflows and reporting
• Develop systems for data ingestion, processing, and report generation across structured and unstructured data
• Contribute to AI-assisted and data-driven features that support clinical insights, automation, and decision-making
• Collaborate across the stack to deliver seamless, end-to-end product experiences
• Ensure the reliability, scalability, and performance of data-driven systems
• Participate in system architecture discussions, code reviews, and knowledge sharing
• Debug and troubleshoot issues across backend services, data pipelines, and frontend applications
• Partner with product and design to translate clinical requirements into intuitive technical solutions
• Stay up to date with modern software engineering practices across both frontend and backend development

Qualifications

• 3+ years of professional software engineering experience
• Strong backend development experience building data-driven systems (Python, Node.js, or similar)
• Experience building modern frontend applications (React or similar frameworks)
• Experience designing and building APIs, and working with relational or NoSQL databases
• Experience working with data pipelines or processing structured and unstructured data
• Comfortable contributing to features end-to-end, from backend implementation through frontend integration
• Experience building production-grade, data-driven applications
• Strong attention to code quality, maintainability, and documentation
• Thrives in fast-moving, early-stage environments with greenfield projects

Nice to Have

• Experience building complex, workflow-driven applications or internal tools
• Exposure to AI-assisted or data-driven product features
• Experience with B2B SaaS or internal tools
• Healthcare or regulated environment experience 

The Role

As a Backend Engineer on the Machine Learning Platform team, you’ll build and maintain the core systems that power Frontera’s AI and ML capabilities—from training pipelines and model inference APIs to video processing and feature stores. You’ll design scalable, reliable pipelines for ingesting, transforming, and serving large-scale datasets used for ML training and prediction. You’ll work closely with ML scientists, data engineers, and product engineers to ensure models can be trained, deployed, and updated efficiently while supporting rapid experimentation and long-term scalability. Your work will directly enable ML-driven features that help care teams work smarter and reach more children.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs, ensuring high performance, security, and reliability.
• Build and optimize data pipelines to ingest, store, and serve large-scale datasets, including video and ML training data.
• Own and evolve the foundational data model that powers the entire Frontera platform.
• Balance rapid development of MVPs and POCs for user research with building robust, long-term backend foundations.
• Integrate third-party tools and services to enhance platform functionality.
• Collaborate closely with engineers, machine learning scientists, and clinicians to align platform capabilities with user needs.

Qualifications

• 4+ years of experience as a Backend Engineer, with expertise in Python, Java, or similar languages.
• Deep understanding of API development, database design (relational and NoSQL), and building scalable data pipelines and orchestration workflows.
• Experience with cloud platforms (AWS, Azure, GCP).
• Thriving in a fast-paced, dynamic environment.

Bonus Points

• Experience with AI/ML technologies and applications in healthcare.
• Familiarity with video storage, processing, and streaming technologies.

The Role

We’re looking for a Software Engineer to help build and scale the systems powering our Integrations Platform. This role is backend-focused, with the majority of your time spent designing and implementing APIs, data pipelines, and services that enable seamless integration with external partners, healthcare systems, and internal products.

You’ll work closely with the Engineering Lead and cross-functional partners to build reliable, secure, and scalable integrations that are critical to how data flows across our platform. This is a highly impactful role where you’ll contribute to foundational systems in a fast-moving, zero-to-one environment.

What You'll Do

• Build, maintain, and improve backend services, APIs, and data pipelines that power integrations with external partners and internal systems
• Design and implement scalable, reliable integration patterns for third-party APIs and data exchange
• Ensure the performance, reliability, and accuracy of data flowing across systems
• Debug and troubleshoot issues across distributed systems, integrations, and data pipelines
• Partner with product, operations, and engineering to translate integration requirements into technical solutions
• Participate in system design discussions, code reviews, and team knowledge sharing
• Contribute to improving developer experience through better tooling, documentation, and integration workflows
• Support monitoring, logging, and alerting to proactively identify and resolve issues

Qualifications

• 3+ years of professional software engineering experience.
• Strong skills in Python, Node.js, or similar backend technologies.
• Experience building APIs, working with external integrations, or developing data pipelines
• Solid understanding of databases (relational and/or NoSQL), data modeling, and service architecture
• Proven ability to own features end-to-end, from backend logic to API integrations and data flow
• Experience building and operating production-grade systems, with a focus on reliability and scalability
• Strong debugging and problem-solving skills, particularly in distributed or integration-heavy environments
• High standards for code quality, maintainability, and documentation
• Thrives in fast-moving, early-stage environments with greenfield projects
• Experience with B2B SaaS or internal tools is a plus
• Healthcare or regulated environment experience is a bonus, but not required