Staff Software Engineer, Platform

8+ years in software engineering, with deep experience designing and operating data-intensive systems in production at scale.

3+ years at one organization where you've owned production databases and infrastructure through real growth — not just built them, but scaled and operated them under load.

Extensive hands-on experience running DynamoDB and ClickHouse at scale, strong command of data-intensive application design, and comfort working close to AWS infrastructure.

You think in the terms of Designing Data-Intensive Applications and The DevOps Handbook — first-principles design, engineering metrics, and operational rigor are how you already work.

Proven judgment on 1–2 year, hard-to-reverse decisions: you know when an autoscaling-policy change is enough and when a system needs a re-design.

Strong ownership and the energy to operate in chaos, plus an AI-native working style — you move at a much higher pace without compromising platform integrity or quality gates.

A track record of mentoring and collaborating — you're the engineer a growing team can grow around. Prior self-hosted-LLM experience is not required; the curiosity and speed to learn and run new areas at scale is.

First 90 days

Gets hands-on across the stack and learns how the systems behave under real load.

Takes a production issue end to end — finds the disease beyond the symptom and cures it for the long term.

Makes sound calls on which systems need an autoscaling-policy update and which need a re-design.

By 6 months

Is operating as the Graph Platform owner in practice and owns the work end to end.

Has an executable plan underway for the indexing or inferencing upgrade that holds up under real load.

Has a tracked latency and availability target for enterprise and regular clients.

Establishes a baseline for cost per feedback record and is driving it down.

By 12 months

The indexing and inferencing layers support both enterprise growth and large-scale PLG volume.

Cost per feedback record is visibly lower.

The team has grown and is operating well, with this person as the technical leader it grows around.

High Impact: Own the heaviest data systems in the company — the databases, models, and pipelines behind the product — at the moment the scale story gets much more interesting: larger enterprise customers and large-scale PLG volume.

Ownership: End-to-end responsibility for features and systems.

Complex Challenges: Make hard-to-reverse, 1–2 year architecture decisions across distributed databases, model hosting, and high-throughput pipelines, where a single change touches storage, query paths, reliability, and cost.

Growth: Lead future programs such as self-hosting and regional expansion to Europe and India, with an open L6 IC path for someone who can own long-term platform strategy and raise the bar across the team.

Culture: Open, collaborative, and values-driven environment with autonomy.

Benefits: Competitive salary, equity, hybrid work setup, premium healthcare, and more.

At Enterpret, we operate with a deep sense of ownership — we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.

We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.