Senior Software Engineer
As a senior engineer on our team, you will have the opportunity to build solutions from the ground up, lead projects, and take real ownership of products and features. Our rapid growth and open culture provide the freedom to create, experiment, and contribute. Autonomy and curiosity are not just encouraged, they are essential.
Much of your work will focus on our proprietary Level5 platform, an industry-leading analytics and management tool trusted by some of the nation’s largest and most sophisticated companies. The technology you create will be relied on by top energy experts to manage and analyze billions of dollars’ worth of procurement contracts
- Ideate, develop, release, and maintain features across our core system.
- Work directly with large data pools that power analysis, historical tracking, and client management.
- Make key technical decisions in open forums, guiding the team toward maintainability and growth.
- Handle migrations and refactors to stay up to date with modern tools and best practices.
- Own integrations with external services and middleware for data ingest, processing, and automation.
- Improve observability, performance, and technical mapping across the platform.
- Take initiative on everything from quick bug fixes to major re-architecture efforts.
- Use your expertise to empower teammates and refine development practices.
- Collaborate with stakeholders across the business, communicating clearly about trade-offs and solutions.
- Enhance productivity with AI-assisted tools such as JetBrains, Cursor, Claude Code, and CodeRabbit.
- Stay current with the latest frameworks, design patterns, and development practices.
- Languages & Frameworks
- PHP 8.x, Laravel (Eloquent, Queues/Jobs, Events, Policies, Resources, Migrations)
- MySQL (indexes, query plans, transactions, deadlock diagnosis, migration strategies)
- Python (scripting automations & AWS Lambdas)
- Classic Web (HTML, CSS, JavaScript)
- AWS (RDS MySQL, Lambda, DynamoDB, ElastiCache, ECS, Step Functions, EventBridge, etc.)
- Bonus: AWS ML (Athena/SageMaker w/ Jupyter Notebooks)
- Containers & IaC (Docker, Ansible)
- CI/CD (GitHub Actions for build/test/deploy automation)
- Observability & QA (Sentry, CloudWatch, metrics/logs/traces)
- APIs & Integrations (REST best practices, OAuth2/JWT, webhook design, rate limiting)
- Systems thinking with clear boundaries and contracts
- Event-driven patterns (async processing, backpressure strategies)
- Safe refactor and migration strategies (blue/green, canary, expand-and-contract, feature toggles)
- Performance & reliability (caching, read/write splitting, query tuning)
- Security by default (least privilege IAM, secrets management, PII handling)
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