Systems Engineer

Socket.dev; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Totalis is building the derivative layer for prediction markets with a focus on correctness, low latency, and reliable recovery. You will own core backend components related to market state, pricing, collateral, and settlement, shaping how off-chain and on-chain states stay synchronized.

We value strong system design, experience with distributed systems, and proficiency in Go or Rust, plus databases like Postgres/Redis. Join us to influence a new category of financial infrastructure.

Qualifications

• You have at least 1+ years of experience building production backend or infrastructure systems.
• You reason clearly about distributed state, concurrency, idempotency, and partial failure.
• You have experience with Go, Rust, or other systems languages and are comfortable with databases, queues, caches, and service boundaries.

Responsibilities

• You will own critical parts of market state, pricing, collateral, and settlement.
• You will decide how state is owned, how we recover when systems disagree, and how off-chain ledger state stays in lockstep with on-chain positions.
• You will help set architecture for scaling live markets, balancing latency, durability, and recovery.

Skills

Distributed systems

Go

Rust

Concurrency

Idempotency

Tools

PostgreSQL

Redis

Queues

Job description

Totalis is building the derivative layer for prediction markets. We have a chain agnostic infrastructure for prediction markets. We are pioneering the financial products that become possible when derivatives can be built on top of them. The infrastructure challenge is fundamental: reconcile collateral, vault balances, and on-chain positions exactly while keeping hundreds to thousands of markets live and responsive. This is systems work where correctness, low latency, and recovery under failure all matter at once.

The team

Eric previously worked at Coinbase & Faire. Pravesh has built crypto infra across Eigen Labs, Squid Router, and other teams working on swaps, routing, and onchain systems.

The work

You will own critical parts of market state, pricing, collateral, and settlement. You will decide how state is owned, how we recover when systems disagree, and how off-chain ledger state stays in lockstep with on-chain positions.

Your first 90 days

First 30 days: learn the ledger, pricing, and settlement flows; map the important invariants and failure modes; then ship a meaningful improvement to reconciliation or observability.

By 60 days: own a core workflow in pricing, state management, or settlement and make it more reliable under real concurrent load.

By 90 days: help set the architecture for scaling live markets, including the tradeoffs between latency, durability, and recovery.

What we are looking for

You have at least 1+ years of experience building production backend or infrastructure systems. You reason clearly about distributed state, concurrency, idempotency, and partial failure. You have worked in Go, Rust, or another systems-oriented language and are comfortable with databases, queues, caches, and service boundaries.

Event-driven systems, durable workflows, Postgres, Redis, blockchain, and smart contracts are all useful experience, but exact stack overlap matters less than sound systems judgment.

Our stack

TypeScript, Go, Postgres, Redis, and Rust smart contracts.

If you want difficult systems work with direct ownership and a chance to shape a new category of financial infrastructure, we should talk.