4 часа назад
Member of Technical Staff (MTS) – Senior Core Full-Stack / Backend (AI)
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Описание вакансии
Текст:
TL;DR
Member of Technical Staff (MTS) – Senior Core Full-Stack / Backend (AI): Building high-concurrency backend services, data-heavy production web flows, and reliable autonomous AI agent systems with an accent on performance, validation guardrails, caching, and scalable architecture. Focus on diagnosing database deadlocks and latency spikes, designing asynchronous processing, and wrapping deterministic software around non-deterministic AI outputs.
Location: Bangalore, India; on-site
Company
's Tetriz platform helps engineering organizations become AI-native by measuring AI coding tool usage, improving engineer effectiveness, and demonstrating AI return on investment.
What you will do
- Design, develop, and optimize core services, high-load web architectures, and transaction flows.
- Build production-grade AI agent loops with validation guardrails and caching mechanisms.
- Develop reliable software around non-deterministic AI outputs.
- Diagnose and resolve backend bottlenecks, database deadlocks, and high-concurrency latency spikes.
- Work with modern, highly optimized web engineering frameworks and scalable data systems.
Requirements
- 6–8 years of intensive full-stack or backend engineering experience.
- Experience working in high-velocity technology startups and ambiguous execution environments.
- Strong understanding of scalable software design, memory management, concurrency primitives, and asynchronous task processing.
- Experience with Go or an equivalent high-performance backend technology.
- Knowledge of relational and non-relational databases, Redis caching or queuing systems, and web protocols under load.
- Ability to work on-site in Bangalore, India.
hirify.globalts">Culture & Benets
- Inclusive culture focused on diversity, merit, and equal opportunity.
- Work in a high-velocity startup environment with signicant ambiguity and execution demands.
- Human judgment remains part of nal hiring decisions when AI tools support recruitment processes.
Hiring process
- rst-round technical interview after applying.
- Two or three additional interviews with leadership and key stakeholders.
- A take-home technical assignment may be required and typically takes three to four days, followed by communication, aptitude, attitude, and culture-t assessments.
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