Protocol Integration Engineer

 

Description:

The DeFi Data / Protocol Integration Engineer will own the integration and data layer that allows Siqure to understand, monitor, reconcile, and report on DeFi positions across approved protocols, wallets, custody providers, risk providers, and blockchain data sources.

This is a hands-on engineering role for someone who can combine strong backend delivery with DeFi protocol understanding, data modelling, operational judgement, and critical thinking.

 

What This Role Is

●  A DeFi protocol integration and data infrastructure role.

●  A backend/platform engineering role with strong ownership expectations.

●  A role for someone who can question assumptions, identify data gaps, challenge provider outputs, and design reliable systems rather than only implement tickets.

●  A role that connects DeFi activity to institutional-grade records, reports, risk signals, and reconciliation workflows.

 

Key Responsibilities

●  Own and build integrations with DeFi protocols, portfolio aggregators, custody providers, risk providers, blockchain data sources, and future settlement-related systems.

●  Design canonical data models for protocol positions, wallet balances, protocol exposures, yield metrics, transaction flows, liquidity conditions, and risk signals.

●  Integrate and normalize data from DeBank, Morpho, Pendle, Fordefi, Hypernative, direct chain reads, protocol APIs, indexers, and future provider sources.

●  Build reliable real-time and scheduled data pipelines for portfolio positions, APR/APY and yield tracking, liquidity monitoring, transaction classification, protocol health, and risk metrics.

●  Own reconciliation logic comparing Siqure internal records against custody provider data, protocol data, aggregator data, direct on-chain state, and reporting outputs.

●  Support DeFi execution workflows by preparing protocol interaction context, transaction payload data, pre-trade checks, withdrawal/claim flows, and post-trade confirmation records.

●  Work with quant, portfolio, treasury, risk, operations, and engineering teams to operationalize approved DeFi strategies safely.

●  Evaluate new DeFi protocols and networks from an integration, data quality, risk, liquidity, operational readiness, and reporting perspective.

●  Create monitoring and alerting for protocol health, wallet movement, data freshness, reconciliation mismatches, exposure changes, and position anomalies.

●  Produce and maintain technical documentation for protocol integrations, data contracts, provider mappings, reconciliation rules, assumptions, failure modes, and recovery procedures.

●  Demonstrate strong engineering ownership by identifying unclear requirements, surfacing risks early, proposing practical designs, and following issues through to production readiness.

 

Required Experience

●  5+ years of software engineering experience, preferably in financial systems, data infrastructure, Web3, DeFi, digital asset platforms, or backend platform engineering.

●  Strong C#/.NET backend engineering experience, or strong Rust, Go, or Python experience with willingness and ability to work in a C#/.NET platform environment.

●  Hands-on experience integrating with DeFi protocols, blockchain data sources, wallet data, portfolio aggregators, custody providers, risk providers, or similar financial data systems.

●  Practical experience with EVM data such as transaction hashes, logs/events, token balances, contract reads, RPC providers, indexers, subgraphs, and web3 libraries such as ethers.js, viem, web3.py, Nethereum, or similar.

●  Understanding of DeFi primitives such as lending protocols, AMMs, yield protocols, liquid staking, vaults, collateral, liquidity pools, derivatives, and structured yield products.

●  Ability to interpret APR, APY, implied yield, realized yield, utilization, liquidity, maturity, exposure, position state, and protocol-specific metrics.

●  Experience building reliable workers, APIs, data pipelines, integration services, reconciliation jobs, monitoring dashboards, and alerting systems.

●  Strong understanding of data quality, idempotency, retries, provider failure handling, source-of-truth rules, auditability, and operational resilience.

●  Strong ownership mindset: able to reason from first principles, challenge incomplete requirements, communicate trade-offs, and make sound engineering decisions under uncertainty.

●  Ability to collaborate effectively with engineers, portfolio managers, quant researchers, risk teams, treasury, operations, and leadership.