Senior Software Engineer, II

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, II based in the United States.

Join a remote-first engineering team building technology that helps families stay connected and protect the people, pets, and belongings they care about. In this senior individual contributor role, you will develop end-to-end product experiences for the growing Aging in Place segment, helping older adults maintain their independence while giving their families greater peace of mind. You will work across backend services and mobile applications while helping redefine how software is designed, developed, tested, and delivered through AI-native engineering practices. Collaborating closely with Product, Design, and Engineering, you will own features from initial implementation through production and ongoing support. This opportunity combines meaningful customer impact, technical autonomy, and hands-on experimentation with advanced AI development workflows. You will also help establish reusable engineering practices that can support future product areas, including connected devices and pet safety.

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Accountabilities:

As a Senior Software Engineer, you will take ownership of product development across the full technology stack while helping establish scalable, AI-native engineering practices. Your responsibilities will include:

• Build end-to-end product features: Develop and maintain backend services, APIs, and mobile experiences across iOS and Android, adapting to the needs of each feature.
• Develop experiences for Aging in Place: Build reliable, intuitive features that help older adults remain safely independent and enable families to stay informed and connected.
• Expand into emerging product areas: Adapt established patterns and services to support future verticals, including connected devices, tracking products, and pet safety.
• Integrate AI into engineering workflows: Use AI coding assistants and agentic workflows, including Claude Code, to support specification development, coding, testing, code review, refactoring, and documentation.
• Define AI-native engineering standards: Develop, document, and improve repeatable AI-assisted workflows that increase team productivity while maintaining high standards of software quality.
• Improve development efficiency: Experiment with agent orchestration, automated prompting strategies, and other AI-enabled practices to accelerate delivery and tackle complex engineering challenges.
• Collaborate across disciplines: Partner with Product Managers and Designers to translate customer needs and complex problems into elegant, scalable technical solutions.
• Contribute to architecture and technical quality: Participate in architectural decisions, code reviews, technical standards, and continuous improvement initiatives.
• Own production outcomes: Take responsibility for features from initial development through deployment, production monitoring, incident response, and ongoing maintenance.
• Maintain reliability and performance: Ensure that the features you own meet expectations for scalability, accessibility, performance, and operational stability.
• Participate in on-call support: Contribute to the team's on-call rotation and incident response processes to maintain dependable services.
• Mentor and support teammates: Share technical knowledge, help colleagues adopt effective AI-assisted workflows, and contribute to a culture of accountability and engineering excellence.
• Measure success through member impact: Focus on delivering meaningful improvements to the customer experience, not simply completing development tasks.
• Drive continuous learning: Stay current with evolving AI development tools and recommend improvements that meaningfully enhance engineering practices.

Requirements:

The ideal candidate is a versatile, product-minded engineer with strong full-stack capabilities, experience building consumer-scale services, and a demonstrated ability to use AI as a substantive development partner. You should be comfortable taking ownership of complex problems and delivering reliable software in a fast-moving environment. Key qualifications include:

• At least 5 years of experience building and operating high-quality, consumer-scale software services.
• At least 1 year of hands-on experience prompting, evaluating, and building with large language models (LLMs).
• Full-stack proficiency across backend services and mobile client development, with experience in iOS and/or Android and the ability to work across the stack as needed.
• Strong experience with agentic workflows, prompt engineering, context-window management, and MCP or function-calling integrations.
• A proven track record of using AI development tools to increase productivity across meaningful engineering tasks, including coding, analysis, testing, refactoring, and codebase navigation.
• Experience with or the ability to work effectively in backend environments using Java, Spring Boot, microservices, Kafka, and Kafka Streams.
• Familiarity with cloud-native infrastructure, particularly AWS, and modern mobile development technologies such as Swift for iOS and Kotlin for Android.
• Strong engineering judgment and a commitment to reviewing AI-generated code with the same rigor applied to any other implementation.
• A high degree of ownership, including the ability to follow through from implementation to production readiness, operational reliability, and real customer outcomes.
• Strong communication and collaboration skills, with experience working closely with Product, Design, and platform engineering teams.
• Enthusiasm for defining and improving AI-native engineering practices rather than relying exclusively on established workflows.
• A customer-focused mindset and empathy for older adults seeking independence and family members supporting loved ones from a distance.
• A bachelor's degree in a technical field or equivalent practical experience.
• Willingness to mentor teammates, share effective AI workflows, and contribute to team-wide engineering standards.
• Curiosity and adaptability, with an ongoing commitment to evaluating new tools and improving development processes.

Additional experience that would be advantageous includes:

• Experience with IoT, telematics, connected devices, or hardware-adjacent systems.
• Familiarity with high-throughput streaming platforms such as Kafka or Kinesis.
• Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, or Datadog.
• Experience operating services at significant scale and improving their performance, reliability, and maintainability.

Benefits:

• United States salary range: $118,500–$216,500 per year. Compensation depends on experience, relevant skills, job-related knowledge, and geographic pay tier.
• Total compensation includes equity in the form of Restricted Stock Units (RSUs), alongside a comprehensive benefits package.
• Remote-first working environment for eligible employees based in the United States and Canada.
• Medical, dental, and vision insurance, with premiums fully covered for US employees.
• Life and disability insurance, with supplemental medical and dental options available for Canadian employees.
• 401(k) retirement plan with a company matching program for US employees.
• Paid parental leave.
• Flexible paid time off, company-wide holidays, and summer and winter shutdowns.
• Mental wellness resources and an Employee Assistance Program (EAP).
• Learning and development programs to support ongoing professional growth.
• Equipment, tools, and reimbursement support for an effective remote workspace.
• Free premium membership and connected tracking devices.
• Access to AI coding tools, including Claude Code, Cursor, and GitHub Copilot, as part of everyday engineering work.
• Opportunities to influence technical direction, establish AI-native engineering standards, and mentor other engineers.
• The chance to build technology with meaningful real-world impact for families, older adults, and their loved ones.
• A collaborative, mission-driven culture that values integrity, respectful communication, ownership, and customer experience.

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How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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