Senior embedded engineer developing safety - critical ECU firmware for Hexagon Mining’s digital mining and vehicle - control technologies. Designing, testing, and commissioning embedded systems.
About the role
- T-shaped Software Engineer for Avalanche working on backend services and analytics in a remote setup. Collaborate in a high-impact autonomous team with real ownership.
Responsibilities
- Design, build, and maintain backend services and data pipelines that ingest on-chain and off-chain data (DEX metrics, LP performance, protocol analytics)
- Own features end-to-end: technical refinement, development, testing, deployment to production, and monitoring
- Design data models and maintain PostgreSQL schemas for treasury analytics and reporting
- Write, deploy, and monitor ETL workflows in Apache Airflow (MWAA)
- Contribute to infrastructure-as-code with Pulumi (Python) on AWS
- Prototype quickly when the environment changes—a DEX updates its fee structure, a new protocol launches, a strategy needs re-evaluation—and share results fast so the team can act
- Participate in code reviews, pair programming, and refactoring to maintain code quality
- Communicate proactively in async channels: share progress, flag blockers, and set expectations
Requirements
- 2–4 years of professional software engineering experience
- Strong Python (3.11+) and SQL
- Experience with AWS services (EC2, RDS, S3, IAM, Secrets Manager, Parameter Store)
- Infrastructure as Code: Pulumi or Terraform
- Solid understanding of ETL concepts and data modeling
- PostgreSQL: schema design, migrations, query writing
- Docker and CI/CD (GitHub Actions or AWS CodePipeline)
- Familiarity with EVM chains (Ethereum, Avalanche) and basic Web3 concepts (wallets, transactions, DEXes)
- Strong async communication skills.
- Capacity to adapt in a fast-changing environment and work with parts of the stack you haven’t touched before.
Benefits
- Full autonomy—real ownership of your work, not just a ticket queue.
- Remote-first, async-friendly culture.
- AI-forward engineering culture—we actively use and invest in AI tooling to ship faster.
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