Senior Software Engineer - Golang

Company Summary: We are a rapidly growing, fully remote Intelligent Document Processing company that drives unmatched efficiency in the medical equipment, healthcare, and financial services industries. Leveraging techniques like optical character recognition, machine learning, and large language models, our platform empowers our customers to transform complex, unstructured data into actionable insights, expediting their revenue cycle and lowering their costs. Ultimately, this helps patients get the care they need more quickly while reducing frustration with both their provider and their insurance company.

While we currently focus primarily on the DME (Durable Medical Equipment) industry, we are exploring and developing additional applications of our solutions to broader problems within healthcare, finance, and beyond.

Position Summary: The Senior Software Engineer - Golang plays a pivotal role in advancing Notable Systems’ Intelligent Document Processing platform capabilities. Reporting to the VP of Engineering, this key technical contributor will architect, develop, and maintain sophisticated software solutions that transform unstructured data into actionable insights for our clients, directly impact our work helping patients receive care more quickly while reducing frustration with providers and insurance companies.

This role requires expertise in integrating with third-party applications and services to extend our platform's capabilities, as well as developing streamlined processes to onboard new clients efficiently and effectively. This team member will collaborate across departments to implement robust, scalable solutions that meet our strategic commitments and drive business growth.

We're seeking a thoughtful, creative problem solver who thrives in a fully remote environment and can operate with autonomy while aligning with our Team Topologies approach. The ideal candidate excels in designing and managing intricate, parallel, and asynchronous systems and is comfortable navigating complexity, identifying innovative solutions, and continuously evolving our technology stack to maintain our competitive edge in the Intelligent Document Processing market.

Job Duties:

• System Design and Implementation: Design, build, and deploy advanced systems that handle complex, high-volume document processing. You will create solutions that operate within specific constraints to meet ambitious performance metrics.

• Reliability and Issue Prevention: Design systems with robustness and error prevention in mind, proactively identifying and addressing potential failure points such as race conditions. Develop strategies to minimize operational errors and optimize system reliability and performance under diverse and challenging conditions.

• Technical Leadership and Collaboration: Provide leadership in technical design and architecture discussions. Collaborate closely with peers to share knowledge and solve complex problems, ensuring our engineering standards are second to none.

• Cross-Functional Coordination: Collaborate with Security, SRE, ML, and Product teams to ensure aligned and well-coordinated work.

• Code Quality and Best Practices: Write clean, well-tested, maintainable code that adheres to established coding standards and best practices.

• Third-Party Integration: Design and implement integrations with external applications and services to extend platform capabilities.

• Client Onboarding Solutions: Create efficient systems and processes that streamline the client onboarding experience.

• Compliance Adherence: Follow company policies including but not limited to HIPAA and SOC2 compliance requirements.

• Continuous Learning: Stay current with emerging technologies and industry trends, evaluating their potential application to improve our platform.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience

• 5+ years of professional software engineering experience designing and building complex software solutions

• 2+ years of professional experience programming in Golang

• Strong understanding of distributed systems, concurrency, and asynchronous programming

• Experience with designing and implementing APIs and service integrations

• Excellent written communication skills with ability to produce clear, detailed documentation including theories of operation, whitepapers, and system descriptions

• Experience with cloud infrastructure (AWS preferred)

• Comfort operating without strict process or ceremony, but with strong personal organization

• Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Preferred Qualifications

• Experience working in fast-paced startup environments

• Unix/Linux mastery: Extensive experience working within *nix environments

• Experience with AWS CDK or similar infrastructure-as-code tools for automated deployment

• Experience with document processing, OCR, or machine learning technologies

• Familiarity with healthcare IT systems and healthcare data challenges

• Experience working with regulated data in compliance environments (HIPAA, SOC2)

• Experience with high-throughput, high-reliability systems

Benefits

We offer comprehensive and competitive benefits, including:

• 10 company holidays per year

• 4 weeks of vacation per year

• 8 sick days per year

• Health/dental/vision insurance

• 401K with company match

• Paid parental leave

• $2,500 per year budget for professional self improvement

Remote Work Requirements

• Reliable Internet: Minimum download speed of 50 mbps and upload speed of 10 mbps. You can test your internet speed at this link: https://www.speedtest.net

• Smartphone: Must have a smartphone, as we use multi-factor authentication for logging in to our system, so you will need to download an app to your phone.

• Equipment: Company Mac laptop/desktop and optional external monitor will be provided.

• Privacy: Must have a private place to work in order to protect the confidentiality of the patient data we access.