Senior Software Engineer (Full-Stack – Backend Heavy)
About Us:
Predactiv is a high-scale, high-impact data platform company. We process terabytes of data and billions of events every single day — powering AI-driven insights, audience segmentation, and real-time decisioning for AdTech, MarTech, and beyond.
We’re a lean, elite engineering team that moves fast, ships often, and solves hard problems with elegance and speed. We don’t have layers of bureaucracy — if you build it, you ship it, and you own it. Our stack blends Node.js, Python, GoLang, React, TypeScript, Tailwind, MongoDB, Elasticsearch, DynamoDB, and AWS to deliver performance at scale.
Responsibilities:
Backend (70%) — Architect, build, and optimize high-performance APIs and backend services in Node.js (primary), with contributions in Python and GoLang.
Work with MongoDB, Elasticsearch, and DynamoDB to design and tune data flows for speed and scalability.
Tackle large-scale distributed system challenges — billions of events, massive datasets, and sub-second response times.
Frontend (30%) — Build responsive, modern UIs using React, TypeScript, Tailwind, HTML/CSS to bring features to life.
Collaborate across product, data, and design to deliver full-stack features from idea to deployment.
Profile, debug, and optimize performance across the stack — no silos, no hand-offs.
Contribute to architecture, code reviews, and technical decision-making.
Requirements:
5+ years of professional software engineering experience, with a proven track record in backend/API development.
Deep expertise in Node.js (JavaScript/TypeScript) for backend systems.
Strong experience with React, TypeScript, Tailwind, HTML/CSS for frontend work.
Hands-on experience with at least one NoSQL database (MongoDB, Elasticsearch, or DynamoDB).
Sharp problem-solving skills and the ability to figure things out fast.
Familiarity with Python or GoLang (bonus if both).
Comfortable working in a lean, fast-moving, Agile environment.
Bonus: AWS experience and background in large-scale distributed systems.
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Senior Software Engineer (Full-Stack – Backend Heavy)
About Us:
Predactiv is a high-scale, high-impact data platform company. We process terabytes of data and billions of events every single day — powering AI-driven insights, audience segmentation, and real-time decisioning for AdTech, MarTech, and beyond.
We’re a lean, elite engineering team that moves fast, ships often, and solves hard problems with elegance and speed. We don’t have layers of bureaucracy — if you build it, you ship it, and you own it. Our stack blends Node.js, Python, GoLang, React, TypeScript, Tailwind, MongoDB, Elasticsearch, DynamoDB, and AWS to deliver performance at scale.
Responsibilities:
Backend (70%) — Architect, build, and optimize high-performance APIs and backend services in Node.js (primary), with contributions in Python and GoLang.
Work with MongoDB, Elasticsearch, and DynamoDB to design and tune data flows for speed and scalability.
Tackle large-scale distributed system challenges — billions of events, massive datasets, and sub-second response times.
Frontend (30%) — Build responsive, modern UIs using React, TypeScript, Tailwind, HTML/CSS to bring features to life.
Collaborate across product, data, and design to deliver full-stack features from idea to deployment.
Profile, debug, and optimize performance across the stack — no silos, no hand-offs.
Contribute to architecture, code reviews, and technical decision-making.
Requirements:
5+ years of professional software engineering experience, with a proven track record in backend/API development.
Deep expertise in Node.js (JavaScript/TypeScript) for backend systems.
Strong experience with React, TypeScript, Tailwind, HTML/CSS for frontend work.
Hands-on experience with at least one NoSQL database (MongoDB, Elasticsearch, or DynamoDB).
Sharp problem-solving skills and the ability to figure things out fast.
Familiarity with Python or GoLang (bonus if both).
Comfortable working in a lean, fast-moving, Agile environment.
Bonus: AWS experience and background in large-scale distributed systems.