• Design, develop, and deploy scalable and reliable full-stack cloud applications using a variety of technologies • Build user-friendly web interfaces and APIs for controlling robot behavior, configuring tasks, and managing deployments • Develop robust backend systems for processing and storing real-time telemetry data, sensor readings, and operational logs from robots • Implement data visualization tools and dashboards to provide insightful reporting and analytics on robot performance and operational efficiency • Collaborate closely with embedded engineers, AI/ML specialists, and business owners to understand requirements and translate them into technical solutions • Design and implement secure and efficient data communication protocols between robots and the cloud • Contribute to the development and maintenance of our cloud infrastructure (e.g., AWS, Azure, GCP) • Implement and maintain CI/CD pipelines for automated building, testing, and deployment of cloud applications • Monitor application performance, troubleshoot issues, and implement solutions to ensure high availability and reliability • Contribute to the architectural design and technical roadmap of our cloud platform • Participate in code reviews and contribute to maintaining high code quality standards • Document technical designs, APIs, and deployment processes

Role Description We’re looking for a skilled Software Developer with an established foundation of technical experience to conduct the development of Java-based software applications and products. In this role, you will collaborate with scrum teams and contribute to the agile development process by completing project milestones, user stories, and adhering to established standards to ensure value for our customers. - Participating as an active team member on projects working with the Product Owners in the completion of product development tasks. - Collaborating with all scrum teammates on design and development tasks. - Contributing to the scrum team by analyzing, developing, testing, documenting, and maintaining high quality software solutions as required. - Responsible for meeting the milestones set for projects and for completing user stories in sprints as stated in the definitions of done. - Following established standards and guidelines to deliver projects that are of high quality and high value to ASH and its customers. - Learning, following, adapting, and applying agile software development techniques, methodologies, and processes. - Responsible for contributing, receiving, and acting upon constructive feedback for continuous process, product, and self-improvement. - Providing technical knowledge to enhance overall product performance, usability, aesthetics, and consistent pattern compliance. - Conducting code reviews and performs component, visual, functional, and automated testing. - Working with Technical Support to reproduce and resolve customer issues as required. - Performing other job-related duties and responsibilities as may be assigned from time to time. Qualifications - University degree, preferably in Computer Science or Information Science, or equivalent experience. - 2+ years of experience developing integrated suites of full-featured, web-based applications, including user interfaces, database access, and networked components. - Experience in the creation of applications using the following technologies: Java, Spring, Hibernate, SQL Server, IIS, HTML, JavaScript, CSS, XML, AJAX, and REST. - Solid object-oriented software engineering background and expertise, with proven applied experience in the implementation and testing of high-quality software. - Superior time management and multi-tasking abilities. - Solid interpersonal and communications (verbal and written) skills. - Excellent ability to collaborate successfully with others in person or remotely. Benefits - Excellent remuneration. - Generous annual leave and other employee benefits. - Numerous opportunities for professional growth and development.

• Design and build high-quality API and services for the international adaptation of Life360 — services that are life saving, and genuinely useful. • Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. • Help define and codify AI-Native engineering practices for the International team, establishing playbooks the broader org can adopt. • Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users. • Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions. • Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement. • Participate in on-call rotation and incident response. • Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality. • Hold a high bar for quality end-to-end: you define what "done" means, instrument your work for observability, and treat post-launch behavior as part of the job — not someone else's problem. • Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices. • Support performance, reliability, and accessibility across the features you own.

• Build and deploy AI-enabled tools, workflows, and internal automations that improve productivity and reduce repetitive work across the company. • Connect AI agents, tools, and automations with enterprise systems such as Okta, Google Workspace, Slack, Notion, Jira, and other applications, ensuring reliable interoperability. • Build, maintain, and improve MCP connections and supporting infrastructure, including standards for configuration, reliability, monitoring, and lifecycle management. • Identify manual or fragmented workflows and design durable automation solutions using Python, Go, or no-code tools. • Partner in weekly AI enablement sessions and help turn identified use cases into repeatable, supportable workflows, or tools. • Work closely with Security to implement safe patterns for authentication, authorization, token handling, data protection, and production readiness for AI-enabled workflows. • Use Terraform, cloud infrastructure, and version-controlled delivery practices to manage the systems that support internal AI enablement. • Create clear documentation, reusable patterns, and technical guidance that help teams adopt AI responsibly and effectively. • Partner with IT, Security, Engineering, and business teams to prioritize opportunities, collect feedback, and continuously improve solutions. • Balance quick wins with long-term maintainability, using feedback and operational data to improve quality, adoption, and scale.