Senior Software developer (front-end)

• Create architecture, prototypes, and design proposals that deliver near-term business value while aligning with the future-state product and platform vision.

• Influence technical direction through architecture reviews, RFCs, design discussions, and hands-on collaboration.

• Partner with senior developers, architects, and tech leads to define and execute the product/platform architecture roadmap.

• Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions.

• Break down large initiatives into parallelizable chunks of work that deliver incremental business value.

• Champion proposals through all phases of the SDLC, from design through production implementation.

• Contribute to improving the core product build, CI/CD pipelines, and overall SDLC.

• Troubleshoot and eliminate root causes of persistent production issues; drive reliability, observability, monitoring, and incident response.

• Keep technical documentation current and create new artifacts as needed.

• Facilitate design discussions within and across teams.

• Represent the team in technical discussions with Tech Leads, Operations, Product/UX, Security, Domain SMEs, and external stakeholders.

• Act as a trusted technical leader, helping teams succeed through collaboration, influence, and shared ownership.

• Mentor other developers through design reviews, joint agentic-AI sessions, and feedback on skills, prompts, and other agent inputs; contribute to raising overall engineering maturity.

• Share knowledge of new technologies and industry best practices.

• Evaluate emerging technologies, frameworks, and cloud capabilities that could benefit the platform.

AI-Augmented Development Expectations

• Use AI-assisted development tools — inline completion, conversational assistants, and agentic workflows — as a standard part of your daily workflow.

• Critically evaluate and take ownership of all AI-generated output before it ships — verify correctness, security, and alignment with architecture and team standards.

• Identify opportunities for agentic automation within your team, and lead the rollout of new AI-assisted workflows and tooling.

• Mentor other developers on effective, responsible use of AI-assisted development tools.

• Help establish team-level practices and guardrails for using AI tools safely and effectively.

• Build and refine feedback loops that improve the team's collective use of AI tooling over time.

Developer Platform Focus

• Define and evolve the architecture of the internal developer platform, including monorepo structure, build systems, and CI/CD pipelines.

• Influence technical direction for platform tooling through design reviews, RFCs, and hands-on collaboration.

• Partner with engineering teams to improve developer experience and reduce friction across the SDLC.

• Mentor engineers on monorepo management and CI/CD best practices.

• Degree in Computer Science, Software Engineering, or equivalent practical experience; 8+ years of professional software development experience with demonstrated impact beyond a single team.

• 8+ years of professional experience, with deep expertise in TypeScript, Node.js, and Nx monorepo architecture at scale.

• Proven experience designing and operating CI/CD systems (GitHub Actions or equivalent) for multiple teams.

• Proven experience designing and operating distributed, cloud-native, SaaS/multi-tenant platforms at scale, ideally on AWS.

• Strong software fundamentals: OOP, design patterns, SOLID principles, and a track record of advocating for code quality.

• Experience with agentic-AI software development practices.

• Experience designing and consuming well-designed HTTP APIs (REST, GraphQL, or similar).

• Experience mentoring developers and influencing architectural decisions across teams.

• Strong written and verbal communication skills; comfortable operating in fast-moving environments with ambiguity and evolving requirements.

• Strong initiative to improve processes, tools, methodologies, and product quality.

• Experience with AWS.

• Familiarity with containerization technologies, including Docker and Kubernetes.