• Designs, implements, and maintains complex database systems using database management systems (DBMS) such as Oracle, SQL Server, or MySQL • Develops and implements data backup and disaster recovery plans to ensure data availability and business continuity. • Works with integral members within the IT department to ensure database systems meet performance and reliability requirements. • Identifies and resolves database performance and scalability issues. • Develops and implements database security policies and procedures to protect sensitive data. • Evaluates new database technologies and makes recommendations for adoption. • Trains and mentors junior database engineers • May lead projects and perform other duties as assigned. • Occasional business travel may be required.

• Participate in inceptions and iteration planning meetings, infusing backlogs with technical input working in close partnership with the product manager. • Leads and participates in daily site, cross-site, and product team standups. • Leads and participates in retrospectives, demonstrating and encouraging each participant to provide feedback with empathy. • Participate in high-level and low-level component and system designs. • Participate in performance improvements and tech review meetings. • Partners in collaboration and strategy alignment across product portfolios (cross-product) in partnership with product managers, other peers and key stakeholders. • Serves as an expert on one or more business domain and a distinguished advocate of multiple technology stacks and shares that knowledge across organizations. • Coaches the team and leads daily practices of using paired programming and test-driven development in writing software and building products. • Establishes continuous integration, continuous delivery, and continuous deployment pipelines and practices. • Provides support for software products in user environments.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to design and evolve a high-impact messaging platform that enables healthcare organizations to communicate effectively with millions of patients. As a Senior Software Engineer, you will take ownership of complex backend systems that power large-scale messaging infrastructure, ensuring reliability, scalability, and performance. - Design, build, and maintain scalable backend messaging systems using technologies such as Ruby on Rails, supporting SMS, voice, and messaging delivery pipelines - Own complex platform features end-to-end, from design and development to deployment and ongoing optimization - Collaborate closely with Product, Engineering, and Customer Success teams to translate requirements into reliable messaging capabilities - Contribute to architectural decisions that improve messaging infrastructure, delivery optimization, and platform scalability - Lead technical discussions, perform code reviews, and mentor engineers to strengthen engineering quality and collaboration - Develop and maintain documentation and technical training resources to support platform usage and troubleshooting - Participate in on-call rotations and proactively identify and resolve technical challenges impacting messaging systems Qualifications - Minimum of 5 years of software engineering experience with strong proficiency in Ruby on Rails and JavaScript - Proven experience building, maintaining, and scaling backend systems, APIs, and distributed services - Solid understanding of software development best practices, system design, and object-oriented architecture - Strong SQL and data analysis skills, with experience working with large datasets and complex queries - Experience collaborating in cross-functional teams and delivering complex projects independently - Excellent written and verbal communication skills, especially within remote and distributed teams - Experience writing automated tests and maintaining test coverage as part of the development process - Familiarity with technologies such as PostgreSQL, React, Google Cloud Platform, and background job processing frameworks is a plus - Experience with messaging platforms, event-driven architectures, or high-throughput systems is highly valued - Knowledge of healthcare technology or messaging compliance frameworks is beneficial but not required Benefits - Competitive salary of $179,300 per year with equitable pay regardless of location - Fully remote work environment with flexible working hours - Half-day Fridays and generous paid time off, including company holidays and wellness days - Paid parental leave for biological and adopted children - Paid sabbatical after four years of service and every four years thereafter - Comprehensive medical, dental, and vision insurance for employees and families - 401(k) retirement plan and disability insurance coverage - Annual wellness stipend and access to employee discount programs - Budget for professional development, learning resources, and training - Opportunities to participate in volunteer initiatives and community impact programs

• Design and build high-performing, distributed APIs and microservices that scale to handle heavy traffic • Design efficient database schemas and optimize complex queries for large, interconnected datasets • Write testable, maintainable code with a bias toward self-documenting practices • Build systems with deep observability (metrics, logging, tracing) to support reliable operations • Approach all work with a security lens, identifying vulnerabilities and ensuring high-quality, secure deployments • Utilize pragmatic architecture patterns (abstractions, code isolation) that enable iterative, autonomous development • Leverage cloud infrastructure and modern practices to support continuous release cycles and safe experimentation • Use data and sound judgment to propose technical approaches and reduce technical debt • Mentor teammates through thoughtful code reviews and pairing to build team redundancy and raise quality • Partner with Product and Design to whiteboard solutions and validate feasibility before code is written • Document wins and fails to share patterns and improvements with the wider engineering team • Champion AI-augmented engineering to reduce “grunt work” without sacrificing quality or security