Senior Algorithm Developer working on production scheduling models and AI - infused optimization while contributing to enterprise - grade software. Focused on enhancing scheduling logic and ensuring product correctness.
About the role
- Data Architect leading data storage strategy across a multi-product SaaS platform at Magnet Forensics. Unifying independent products into a coherent platform while mentoring engineers and ensuring performance.
Responsibilities
- Drive data architecture unification across multiple SaaS products, creating coherent patterns while respecting product needs.
- Partner with vertical technical leads to provide horizontal architectural support and alignment.
- Design and optimize data storage across multiple technologies—AWS OpenSearch/Elasticsearch, relational databases, S3, NoSQL, and data warehousing.
- Optimize for performance and resilience—indexing, querying, high availability, redundancy, and disaster recovery at scale.
- Support AI initiatives—partner with our AI specialist team on data architecture for AI capabilities.
- Bring clarity from ambiguity—translate complex challenges into clear architectural direction.
- Build capability, not dependencies—mentor engineers so teams become more self-sufficient.
- Balance performance, cost, and reliability across our platform.
Requirements
- Deep expertise in AWS OpenSearch/Elasticsearch—you've solved hard problems at scale with indexing, querying, and performance.
- Broad data technology experience—relational databases (e.g. PostgreSQL, MySQL, RDS), object storage (S3), NoSQL (e.g. DynamoDB, MongoDB, Redis), data warehousing.
- Cloud and container knowledge—AWS preferred (Azure/GCP also valued); understand stateful services in Kubernetes.
- Proven platform architecture experience—track record of driving technical strategy across multiple teams or products at scale.
- Senior-level maturity—you make those around you better through mentorship and capability building.
- Influence without authority—you work effectively across teams, bring clarity from ambiguity, and think strategically.
- SaaS experience—comfortable with multi-tenant environments and operational excellence.
Benefits
- Generous time off policies
- Competitive compensation
- Volunteer opportunities
- Reward and recognition programs
- Employee committees & resource groups
- Healthcare and retirement benefits
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