Job Description
🚀
We're Hiring
🌍 Full-time | Remote | USD (TBD)
Senior FullStack Engineer / Backend Oriented
ABOUT THE ROLE
We are hiring a Senior Full-Stack Engineer who is strongly backend-leaning (≈80–85% backend) to work on high-scale backend pipelines and data-heavy systems. The ideal engineer has proven experience building production-grade ingestion and processing systems, making architecture decisions based on real data volumes, and operating reliably in Kubernetes/AWS environments. Occasional frontend work exists (small UI tasks/new pages), but the core of the job is backend systems design and implementation.
RESPONSIBILITIES
Backend Pipelines & Data Processing
• Build and maintain backend pipelines that consume data from Kafka, apply business logic/ETL, and produce reliable outputs at scale.
• Implement and optimize event-driven architectures (producers/consumers, streaming patterns, batching where relevant).
• Design systems around high volume / high throughput requirements (autoscaling, high availability, resilience).
Database & Performance (Postgres-heavy)
• Own data modeling and performance work in PostgreSQL: query tuning, indexing strategies, schema design, troubleshooting slow queries
• Work with additional data stores as needed (e.g., Redis) based on system needs.
Full-Stack Contribution (light frontend)
• Contribute occasionally to frontend needs in React (new pages, small UI fixes).
Production Engineering
• Build/operate services in a true production environment:
• observability (logs/metrics/tracing), debugging, reliability improvements
• performance profiling and bottleneck analysis
TECHNICAL REQUIREMENTS
Backend & Architecture
• TypeScript + Node.js (production experience)
• NestJS (strong preference, used as the main backend framework)
• Strong experience designing backend systems at high scale:
• autoscaling, HA, performance, resilience, failure modes
• Strong knowledge of event-driven systems:
• Kafka-based ingestion/streaming, producers/consumers, pipelines, batching concepts
Data Stores
• PostgreSQL / SQL proficiency (deep skills required: schema modeling, query optimization)
• Kafka (hands-on experience strongly preferred)
• Redis (working knowledge)
Infrastructure
• Experience working in AWS + Kubernetes environments (production familiarity expected)
Observability
• Practical experience with logs, metrics, tracing to monitor and debug production systems.
Nice-to-Have
• Security domain familiarity (application security / runtime protection / vulnerability management) — advantage, not mandatory
• Prior work in data-intensive security platforms or similar high-scale systems
AI Tooling Expectations
• Oligo
strongly encourages AI-assisted development
(primarily Claude; some Cursor).
• They have automation and AI-supported workflows (including AI-assisted code review) and value engineers who can work effectively in that environment.
