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Neosigma

Member of Technical Staff - Backend Engineer

  • Seen live on Neosigma's site today
  • Senior
Pay
Not stated
Location
San Francisco, CA
Open for
12+ days
First seen
Oct 23, 2026
Apply on Neosigma's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Neosigma's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Neosigma, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What it asks of you

Equivalent experience accepted instead of a degree
“Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Us

NeoSigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems.

We are a small, intensely technical team of researchers and engineers who have trained frontier-scale models and widely used AI products and agents at Parallel Web, Essential AI, MIT, Apple, and Amazon.

We are backed by world-class investors and leaders from Google DeepMind, OpenAI, Decagon and others.

The Role

We are looking for a Backend Engineer to own the systems that ingest, evaluate, and serve agent behavior data at production scale. You will work across telemetry ingestion, platform reliability, sandbox infrastructure, and the API surface that customers and integrations build on. Some weeks you will be deep in distributed systems and query performance . Other weeks you will ship a customer-facing feature across backend, APIs, and the data layer.

What you'll do

  • Own platform scaling, reliability, and latency: caching, retries, and backpressure as customer traffic grows
  • Optimize sandbox environments for speed, isolation, and cost efficiency
  • Build high-throughput telemetry ingestion and tune OLAP performance: partitioning, indexing, and query optimization over billions of spans
  • Own the API surface used by the NeoSigma platform UI, SDKs, MCP server, and customer integrations
  • Build evaluation pipelines with retry semantics, failure recovery, and tenant-level scheduling
  • Work directly with customers to debug agent failures and turn those signals into infrastructure improvements
  • Roll out safely with feature flags, design docs, and production observability

What we look for

  • Strong backend engineering experience building and operating production systems under real load
  • Solid fundamentals in distributed systems, API design, data modelling, and performance
  • Experience with high-volume telemetry, trace, or event data at scale
  • Strong intuition for data systems: query patterns, indexing, partitioning, and latency
  • High ownership mentality: you debug production issues and don't wait for someone else to notice what's broken
  • Clear communicator across design docs, code reviews, and tradeoff discussions
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)

Our Core Values

  • Customer Obsession - We start with the customer and work backwards. We aim to earn trust through consistent delivery, thoughtful listening, and by obsessing over customers.
  • Intellectual Honesty - We operate with high trust and low ego. Ideas matter more than titles, and we communicate openly and directly while assuming good intent, even in strong disagreement.
  • Bias for Action - We set high standards and move quickly to meet them. We prefer building and learning with customers over debating in the abstract, and we iterate based on real feedback.
  • Extreme Ownership - We take responsibility for outcomes, not just tasks. Ownership means seeing problems through to completion and ensuring solutions truly work in practice.

Benefits and perks

  • Competitive salary plus meaningful equity package
  • Comprehensive medical benefits and generous PTO
  • Flexible work arrangements
  • Direct impact on company direction and technical decisions
  • High ownership and the opportunity to make a career-defining impact
  • Visa sponsorship

As a founding member, you’ll help define the technical foundation of NeoSigma. Your scope will grow with the company, from owning core systems end-to-end to shaping architecture, hiring, and engineering culture. This role has a natural path toward technical leadership or engineering management as the team scales.

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