• Architect and implement complex full-stack applications using React (frontend) and Node.js/Express (backend) • Lead technical decision-making, from database schema design to infrastructure setup • Develop and maintain scalable RESTful and/or GraphQL APIs • Own deployments and infrastructure (AWS), including CI/CD and monitoring • Collaborate with cross-functional teams on product design, requirements, and roadmaps • Conduct code reviews, enforce coding standards, and mentor mid-level/junior developers • Identify and resolve performance bottlenecks, security risks, and scalability issues • Stay up to date with industry trends and emerging technologies, and evaluate their fit for our stack

• Lead the architecture, design, and implementation of high impact internal web applications that support deal lifecycle, pricing and quoting, forecasting, and planning workflows. • Own complex, cross team technical initiatives from problem framing through design, implementation, rollout, and long term evolution. • Identify and drive high leverage technical investments that improve reliability, performance, developer velocity, and user experience across multiple applications and services. • Design and evolve microservices, APIs, and data models that integrate with systems such as Salesforce, billing, data platforms, and analytics, ensuring robust contracts and clear boundaries. • Partner closely with Product Managers and business stakeholders to translate ambiguous business problems into clear technical strategies, roadmaps, and deliverables over multi quarter horizons. • Provide technical leadership and mentoring for senior and mid level engineers, raising the bar on design quality, code quality, observability, and operational excellence across the team. • Champion engineering best practices including testing, performance engineering, incident readiness, and secure coding, and ensure they are consistently applied in your area of ownership. • Collaborate with peer teams to define cohesive end to end solutions and shared platforms rather than point integrations. • Contribute to and help refine the technical strategy, architecture principles, and career standards for the Commit Estimator and broader Application & AI Engineering domains. • Contribute to modernize the existing application and platform for scalability, availability, speed of delivering software and enabling AI capabilities for End Users.

• Drive design and implementation of our Mobile application builder. • Architect deployment pipelines for seamless publishing to the Apple App Store and Google Play, integrating with Bubble’s existing infrastructure. • Collaborate cross-functionally with product, design, and support teams to ensure a consistent and high-quality user experience across web and mobile. • Mentor and coach engineers to improve their technical skills and leadership. • Partner directly with executive leadership to define roadmaps, inform and commit to priorities, and execute effectively.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Help shape the future of how engineers build, ship, and operate software. We're hiring a Staff Software Engineer to contribute to platform-wide initiatives across CI/CD, Kubernetes, and developer experience – with a strong emphasis on building and integrating AI tooling into everyday engineering workflows. - Design, build, and scale AI-powered developer tooling: - Agentic coding and review workflows that use LLMs to analyze code, generate changes, and collaborate via chat. - Policy- and guardrail-aware assistants that can comment, propose code changes, and safely automate repetitive tasks. - Prompt libraries, instructions, and service manuals that make AI adoption effective and safe across teams. - Contribute to the evolution of our CI/CD platform to be faster, more observable, and easier to adopt: - Build analytics and data pipelines to compare platform performance, baselines, and regressions. - Contribute insights that inform team-level improvements and broader platform decisions. - Strengthen platform reliability and security in Kubernetes: - Improve cluster/app resiliency, rollout strategies, and priority classes for critical services. - Standardize Helm chart patterns, deployment practices, and IaC workflows. - Contribute to incident response playbooks, maintenance modes, and recovery patterns. - Create paved paths and golden templates for developers: - Self-service software templates, CLI/automation enhancements, and bootstrap flows. - Clear docs, runbooks, and technical blogs that drive adoption and reduce support load. - Mentor and grow: - Pair with teammates to land complex changes, champion TDD and code review quality, and uplevel practices within the team. - Anticipate and surface blockers, delays, and tradeoffs before they require escalation – keeping stakeholders informed and expectations aligned. Qualifications - Staff-level impact building platform capabilities with clear outcomes in developer velocity, reliability, and/or quality. - Deep experience in one or more of the following and working knowledge of the rest: - CI/CD systems and reusable pipeline components (e.g., GitHub Actions or similar). - Kubernetes, Helm, GitOps (e.g., ArgoCD), and infrastructure as code (e.g., Terraform). - AI for engineering: prompt design, multi-agent orchestration, safety/guardrails, and integrating LLMs into code and review workflows. - Data and analytics for platform decisions (e.g., Python/Node-based ETL, SQL/warehouses, lightweight dashboards). - Proficiency in at least two languages used for platform work (e.g., Python, TypeScript/Node.js, Bash); comfortable moving across stacks to ship end-to-end solutions. - Strong security and reliability instincts (secrets, least privilege, dependency hygiene, runtime hardening). - Clear, concise written communication – from crisp docs and service manuals to guides that accelerate adoption across the team. - Able to communicate effectively with a diverse team and external stakeholders; actively listens and ensures shared understanding. Requirements - Faster, more reliable delivery pipelines and higher adoption of paved paths. - Measurable improvements to build/test times, failure triage, and developer feedback cycles. - AI tools that engineers choose to use – with clear quality, speed, and safety wins. - Repeatable templates and docs that reduce bespoke work and support burden. - Proactive communication that keeps projects on track and stakeholders aligned without escalation. Benefits - The company offers various benefits to employees and their dependents, including medical, vision, dental, disability, and life insurance, as well as parental and military leave. - Other benefits include an employee assistance program, 401k + match, annual bonus, pet insurance, and RSUs. - Paid parking* and 10 paid holidays are also provided.