Member of Technical Staff, Infra
$140,000 - $200,000 per year
Apply (opens in a new tab)Member of Technical Staff, Infra
Posted today
SENIORITY
Lead
SALARY
$140,000 - $200,000 per year
About the role
- Own the architecture of Abaka Expert Platform's shared backend systems - core services, data models, APIs, and cross-product infrastructure.
- Define and drive the long-term technical strategy for backend architecture across the organization.
- Design, build, and ship backend services and APIs that power AI-native product features at scale.
- Design systems for scale, reliability, and evolvability, and lead the highest-stakes technical decisions and design reviews.
- Establish backend engineering standards, patterns, and best practices adopted across all product teams.
- Partner closely with Product and AI/ML teams to translate product and model requirements into production-grade systems.
- Use modern AI development tools.
- Improve performance, reliability, and observability of existing backend infrastructure
- Debug and resolve production issues
- 3+ years of professional backend software engineering experience
- Strong expertise in backend: API design, data modeling, distributed systems, databases, and API design at scale.
- A track record of owning architecture across multiple teams or an entire organization and of decisions that aged well.
- Capable in a modern frontend framework (React/TypeScript) and able to work the full path from UI to backend when needed
- Product-minded: you push back on unnecessary complexity and think about the customer outcome the system enables.
- Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
- Experience building or integrating AI/LLM-powered features and agent designs
- Fluent with modern AI development tools (e.g., Cursor, Claude Code, GitHub Copilot, or similar) as part of your daily workflow.
- Comfortable with ambiguity and evolving priorities
- High ownership, pragmatism, and a bias toward shipping.
- Startup or founder experience
- Experience building consumer-facing products at scale.
- ML and Deep Learning knowledge and experience
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
