DevOps Engineer
Native is an on-chain, non-custodial liquidity and trading infrastructure platform using credit-based liquidity, institutional-grade matching, and on-chain settlement for crypto and tokenized real-world assets.
Funding history
Investors
Projects
About Native
Native develops a vertically integrated decentralized-exchange infrastructure stack. Its current platform separates pricing from asset settlement through Native Core, a sovereign on-chain matching engine, Native Swap Engine, credit-based liquidity pools, and relay integrations for wallets, aggregators, market makers, liquidity providers, and asset issuers. Native's current site also positions the platform as infrastructure for 24/7 spot liquidity in crypto and tokenized equities.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design, deploy, and manage scalable, highly available cloud infrastructure supporting trading systems. Build and optimize CI/CD pipelines, operate Docker and Kubernetes environments, monitor systems with Grafana and CloudWatch, respond to incidents, and troubleshoot production issues to maintain 24/7 reliability.
Requirements
- Bachelor's degree in Computer Science or Engineering
- Strong experience with AWS or other major cloud platforms, including security, networking, and global infrastructure
- Proven experience with Terraform, Docker, and Kubernetes
- Experience building and optimizing CI/CD pipelines such as Bitbucket Pipelines
- Ability to work independently and take ownership of system support and maintenance
- Strong communication and interpersonal skills and ability to handle high-pressure situations
Responsibilities
- Design, deploy, and manage scalable, reliable, high-availability systems on AWS
- Ensure 24/7 operation of the trading system by collaborating with engineering teams
- Support CI/CD pipeline development and optimization using Bitbucket Pipelines and other CI/CD tools
- Manage containerized applications and orchestrate workloads with Docker and Kubernetes
- Monitor system performance and reliability using Grafana and AWS CloudWatch and contribute to incident response
- Troubleshoot production issues and coordinate with relevant teams for timely resolutions