Staff Engineer

About the Role
We are hiring a Staff Engineer to own the architecture, delivery, and long-term operation of high-impact backend systems. This role sits at the intersection of backend engineering and product analytics infrastructure; equally responsible for the reliability of production systems and the trustworthiness of the data those systems generate.
You will set technical direction, define engineering standards, and lead 1–3 engineers while staying hands-on in the codebase. The ideal candidate has shipped backend systems at scale for consumer or product-led companies and has also owned analytics infrastructure; from event taxonomy and data governance to experimentation and attribution tooling.

Success in the first 3–6 months looks like:
Conduct a clear-eyed audit of existing backend systems and analytics infrastructure, identifying the highest-priority gaps

Establish or improve engineering standards, automated testing processes, and KPI tracking across reliability, data quality, and development speed

Take ownership of analytics infrastructure — cleaning up event taxonomy, ensuring reconciliation across tools, and making data trustworthy for the broader team

Set technical direction for at least one meaningful backend or data initiative and see it through to production

Build a strong working relationship with product and engineering stakeholders through clear, proactive communication

Key Responsibilities
Own the delivery and long-term operation of high-impact backend systems, from architecture to production

Set and evolve backend engineering standards, processes, and technical best practices

Define and actively use KPIs covering system reliability, development speed, data quality, and error rates

Make system-level architectural decisions and clearly communicate tradeoffs to engineering and product stakeholders

Own analytics infrastructure — event taxonomy, governance, and reconciliation across tools like Amplitude and Appsflyer

Ship and maintain experimentation infrastructure including A/B testing, variant assignment, SRM detection, and success metric definition

Debug and maintain user and identity systems across login, logout, multi-device, and reinstall scenarios

Establish automated testing and validation processes that reduce regressions and operational risk

Introduce AI-assisted development workflows where they add leverage, with strong validation and safety mechanisms

Lead and upskill 1–3 engineers, setting technical direction and building engineering capability across the team

Requirements
5+ years building and maintaining backend systems on AWS

Demonstrated experience delivering high-impact backend projects that operate successfully in production

Strong experience building backend services for mobile applications (iOS and Android)

Owned analytics infrastructure at a consumer or product-led company — has taken tools like Amplitude, Mixpanel, or Segment from messy to trustworthy

Experience with RevenueCat or similar subscription tools and Appsflyer or similar attribution platforms

Has shipped experimentation infrastructure including A/B test data quality, variant assignment, and SRM detection

Backend engineering depth on user and identity systems in Python or Node.js production environments

SQL-fluent at the modeling level — has designed event schemas or metrics layers that others relied on

Solid experience with Node.js and TypeScript

Experience with Docker and containerized deployments

Strong understanding of RESTful API design and implementation

Has led 1–3 engineers, set technical direction, and upskilled non-data engineers

Strong sense of ownership, strategic thinking, and a solution-first mindset

Preferred Qualifications
Hands-on experience with AI/ML or LLM-based products

Experience with NestJS framework

Python experience, particularly with Apache Airflow or similar ETL tools

Knowledge of Firebase (Authentication, Firestore, Remote Config)

Experience with Infrastructure-as-Code tools such as Pulumi or Terraform

Familiarity with observability tools such as OpenTelemetry or Signoz

Experience with ElasticSearch or similar search technologies

Experience with video streaming technologies (HLS, MediaConvert)

Tech Stack
Backend: Node.js with NestJS and Restify, Python 3.9 for ETL, Apache Airflow, Sequelize ORM

Frontend: Next.js 15, React 18/19, TypeScript, Tailwind CSS

Infrastructure: AWS (ECS Fargate, S3, RDS, ElastiCache, SQS, CloudFront, MediaConvert), Docker, Pulumi, GitHub Actions, Vercel

Data & Storage: MySQL, PostgreSQL, Redis, ElasticSearch, Firebase Firestore, AWS S3, Cloudflare R2

Observability: Signoz with OpenTelemetry, Winston, Slack webhooks

Compensation & Logistics

Fully remote role

Unlimited PTO