Description

Key Responsibilities & Expectations

1. Engineering & System Design

• Architect in Ambiguity: Translate loosely defined business problems into clean, robust architectures while anticipating edge cases.
• Rapid Prototyping: Where applicable, build functional prototypes with stakeholders to validate ideas instantly and accelerate the feedback loop.
• Full-Stack Delivery: Own features end-to-end across services, data, and UI, making pragmatic technology choices and avoiding unnecessary complexity.

2. Engineering Productivity with AI

• AI-Assisted Development: Use agentic AI tools throughout the SDLC to move faster, while maintaining full accountability for code quality, correctness, and security.
• Feedback Loops for Coding Agents: Design quality gates, spec-driven workflows, and deterministic checks that catch agent errors before humans do.
• Critical Adoption: Evaluate AI tools and patterns critically, adopting what improves the team's output and discarding what doesn't.

3. Reliability & DevSecOps

• Security-First Mindset: Embed security and compliance into the core of the development lifecycle, proactively mitigating vulnerabilities through secure design.
• Production Standards: Build well-tested, maintainable software. Implement CI/CD pipelines to ensure systems are resilient, scalable, and optimized for an exceptional end-user experience.
• Operational Readiness: Make production behavior measurable, debuggable, and recoverable by building observability, alerting, runbooks, and recovery paths into systems from the start.

4. Execution & Business Ownership

• Drive Outcomes: Take ownership of delivering meaningful business results, managing scope responsibly, and communicating technical risks early.
• Technical Translation: Partner closely with Product Managers and business leaders. Articulate complex architectural decisions and tradeoffs in clear, outcome-oriented terms.
• Partnering Across Functions: Engage security, risk, compliance, and platform teams early, communicate technical tradeoffs clearly, and make the case when a project calls for a different approach.

5. Culture

• High Performance: We value high standards, continuous learning, and collaborative problem solving, creating an environment where talented individuals can thrive alongside exceptional teammates.
• Ownership & Accountability: Team members are trusted to take ownership of their work, exercise thoughtful judgment, and follow through on commitments.
• Collaborative Autonomy: Teams operate with a high degree of trust and autonomy while working together to make decisions aligned with business, customer, and operational goals.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 9+ years of experience designing, supporting, and deploying modern, enterprise-grade software systems.
• Skilled at using agentic AI tools throughout the SDLC.
• Hands-on expertise with technologies such as Python, Vue.js, AWS/GCP cloud platforms, Terraform, APIs, and cloud-native architecture patterns.
• Proven ability to interact directly with business stakeholders, build trust, and operate autonomously in fast-paced environments

Key Skills

Education

Bachelor's degree