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Seerist, Inc. is seeking a software engineer to join the Collections & Alerts team, building high-volume data ingestion and processing infrastructure for real-time intelligence. You will design event-driven systems, optimize schemas, and ensure observability across distributed services.
You will collaborate with intelligence analysts and product teams to translate requirements into scalable, performant solutions, while working in a hybrid Reston, VA environment with three in-office days per week.
Join Seerist, a leading provider of AI-driven, augmented analytics for threat and risk intelligence, designed to help commercial organizations and government anticipate, monitor, and manage global risks. Seerist delivers real-time insights, forecasts, and alerts that bring clarity to decisions and save valuable time for security and intelligence teams. Every day, Seerist helps our customers support their operations and missions globally, ensuring informed, rapid decisions.
You will join the Collections & Alerts software development team to build the platform's data ingestion and processing infrastructure. Your pipelines power real-time intelligence; when they fail, customers notice. You'll design and build high-volume data pipelines, architect event-driven systems that process intelligence data at scale, optimize queries and schemas for heavy load, instrument services for observability, and debug production issues across distributed systems. You'll work directly with our intelligence analysts and product team to understand requirements and ensure software meets both performance and analytical needs.
Languages: Experience with TypeScript, Node.js, Python, and other modern languages
Event-Driven Architecture: Experience designing and debugging event-driven systems (EventBridge, message queues, async patterns, orchestration)
Data Pipelines: Experience building high-volume, low-latency data ingestion and processing pipelines; understanding of batch vs. real-time tradeoffs
AWS: Hands-on work with SQS, S3, ECR, AWS CDK; comfortable reasoning about cloud infrastructure costs and scaling
Databases: Working knowledge of both relational (PostgreSQL) and NoSQL (DynamoDB); experience optimizing queries and schema design for high-volume workloads
Search & Caching: Experience with in-memory data stores (Redis), familiarity with OpenSearch/ElasticSearch (full-text search, indexing strategies)
Monitoring & Observability: Proficiency with Datadog or similar monitoring tools; ability to instrument code for observability and debug production issues
Microservices: Understanding of service boundaries, async communication patterns, and debugging across distributed systems
Infrastructure as Code: Comfortable with AWS CDK or similar tools for defining infrastructure in code
Coding agents: Comfortable leveraging AI tooling for development acceleration, building custom skills, and automating repetitive tasks.
Based in the greater Washington, DC metro area, in our Reston office three days per week, with the flexibility to work on site as the program requires
Equal employment opportunity, including veterans and individuals with disabilities.