Cloud Engineer

About Company

Theta builds simulated, reproducible training-data environments used by frontier AI labs to improve advanced models and coding agents. Backed by Peak XV, SV Angel, Liquid 2, and Paul Graham, Theta has raised $4.2M, reached mid-seven-figure ARR, and is scaling a platform where customer demand currently exceeds delivery capacity.

Job Roles & Responsibilities

• Own and scale the core backend infrastructure behind Theta's data platform, including cloud compute, distributed workers, platform reliability, and performance under real production load.
• Build model harnesses, evaluation systems, reinforcement-learning environments, agent workflows, and data pipelines at the frontier of AI systems engineering.
• Create internal tools and expert-facing workflows that produce high-fidelity training environments efficiently and consistently.
• Translate complex real-world software workflows into reproducible tasks and environments used to train advanced agents.
• Work directly with the founders across engineering, product, and operations to set priorities, make architectural decisions, and ship with minimal oversight.

Ideal Candidate Profile

• Three to seven years of software engineering experience, with up to eight considered for an exceptional hands-on profile.
• Strong backend and infrastructure depth across Python, AWS or GCP, distributed systems, cloud compute, worker optimisation, and scaling platforms under real load.
• Hands-on experience building systems around modern models, such as production agents, harnesses, evals, inference or serving infrastructure, post-training systems, reinforcement-learning environments, or ML platforms.
• A meaningful startup or zero-to-one signal, such as founding-engineer scope, early-team ownership, or delivery inside a rigorous engineering startup.
• High autonomy, scrappiness, sound computer-science fundamentals, and the judgment to ship in ambiguous environments without hand-holding.
• IIT, BITS, IIIT Hyderabad, top-NIT, Olympiad, or competitive-programming pedigree is a useful booster, but only when paired with strong work and systems evidence.

Hiring Process

• Flexiple begins with an interview and profile review focused on communication, motivation, startup readiness, and evidence of backend and AI-systems ownership.
• Theta's technical process will assess infrastructure depth, system design, agent or ML-platform experience, and the ability to reason through research-grade engineering problems.
• A final founder conversation will test autonomy, product judgment, operating style, and alignment with an early core-team role.

What We Offer

• A founding-engineer seat working directly with Theta's founders and customers at leading frontier AI labs.
• Base compensation of $90K-$130K, with flexibility above the range for exceptional candidates; compensation is all cash today while an India ESOP structure is being worked out.
• Remote work from India with genuine ownership of core platform architecture, execution priorities, and technical outcomes.
• The chance to solve research-grade problems across AI agents, model harnesses, reinforcement-learning environments, distributed systems, and data infrastructure.
• A high-traction seed-stage environment backed by Peak XV, SV Angel, Liquid 2, and Paul Graham.

Hiring process

Flexiple Interview → Profile Review → Technical Systems Interview → Founder Conversation