Member of Technical Staff (MTS) – Core Full-Stack / Backend at Workloom (Bengaluru, India)
Workloom· Bengaluru, India·
Role details
Job description
About Us
Tetriz is an AI Engineering Intelligence platform that helps engineering organizations become AI-native, faster. We measure how AI coding tools like Cursor, Claude Code, and GitHub Copilot are actually used, improve engineer effectiveness through prompt and workflow coaching, and help engineering leaders demonstrate AI ROI with board-ready, defensible insights.
The Role & Technical Depth
We are shifting past static components into high-concurrency, data-heavy production web flows and fully autonomous AI agent systems. We need a stellar engineer who can write high-performance backends and wrap deterministic, bulletproof software around non-deterministic AI outputs.
Build the Stack: Design, develop, and optimize core services, heavy web architectures, and transaction flows for our platform.
Production-Grade AI Agents: Take AI loops out of the "toy project" phase and build the software loops, validation guardrails, and caching mechanisms required to run them reliably at scale.
Performance Engineering: Diagnose and resolve complex backend bottlenecks, database deadlocks, and high-concurrency latency spikes.
Our Expected Stack:Go (Golang) or high-performance backend equivalents, relational/non-relational databases, Redis cache/queuing systems, and modern, highly optimized web engineering frameworks.
Who You Are
Experience:3–4 years of intensive full-stack or backend engineering experience. Startup DNA: Proven track record in high-velocity tech startups with heavy execution demands. You excel in ambiguous environments where the destination is clear but the map is yet to be drawn. Strong Fundamentals: You know how to build software that scales. You understand memory management, concurrency primitives, asynchronous task processing, and how web protocols actually break under load.
Selection Process : Once you apply via the career page, we will reach out to set up a first round of technical interview, followed by 2/3 rounds of interviews with leadership & key stakeholders. You might be required to attempt a take home technical assignment/excercise which typically takes 3-4 days.
In addition to assessing your technical/coding experience, expect at least 2 rounds to assess your communication & articulation ability, general aptitude, attitude and cultural fitment.
We aspire to create an inclusive culture of diverse people not just because it's the right thing to do but because heterogeneity inspires us and is more fun! We employ people solely on merit and do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
Why work at Workloom
- Culture highlights: Start-up environment with a strong builder mindset; team of experienced founders who built and scaled a major fintech product; emphasis on using AI leverage in all workflows.
- Remote/hybrid/office policy: Roles are a mix – on-site (Bangalore), hybrid, and some remote. The majority of openings are on-site (83% according to one search snippet).
- Notable perks or engineering culture: Engineers are expected to treat ML systems as their primary craft while being willing to do whatever the product needs. The selection process includes technical interviews and a take-home assignment. The company aspires to an inclusive culture and hires solely on merit.