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Augur Security is building a preemptive cybersecurity platform that predicts and blocks attack infrastructure before it’s weaponized. The backend powers how we ingest global internet telemetry, assess risk, and deliver real-time decisions into customer environments. We’re seeking a Senior Backend Engineer to own end-to-end components of this platform, from system architecture and data modeling to APIs and production operations. You’ll collaborate with product, threat research, and frontend teams to build features that enhance defenders’ ability to detect, investigate, and stop attacks. This role requires deep experience with Python, AWS (including Redshift and Aurora/MySQL), ETL-style data workflows, and high-throughput, high-availability backend services.
Job Responsibility:
Design, build, and maintain backend services and APIs that power Augur’s threat detection, scoring, and reporting capabilities
Own services from design to production: schema design, implementation, testing, observability, and performance tuning
Work with large-scale event and metadata pipelines to correlate predictions, infrastructure, and customer telemetry
Collaborate with data/ML, threat research, and product to turn models and research into reliable, production-ready services
Improve reliability and scalability of existing systems through refactoring, better architecture, and sensible abstractions
Help define and enforce engineering best practices: code quality, testing, reviews, observability, and incident response
Mentor other engineers through pairing, design reviews, and clear technical documentation
Requirements:
5+ years of experience building and maintaining production-grade backend systems
Proficient in modern backend languages and frameworks such as Python (FastAPI), Go, or Node.js, with strong SQL expertise using PostgreSQL, Redshift, or Aurora/MySQL
Skilled in data modeling for both OLTP (transactional) and OLAP (analytical) workloads
experienced with ORM frameworks like SQLAlchemy
Proven ability to design efficient ETL/data pipelines, optimize queries and indexing, and reason about scalability, performance, and reliability
Experienced in designing RESTful APIs, integrating with third-party services, and maintaining high-throughput transactional systems
Strong understanding of distributed systems fundamentals—including concurrency, fault isolation, and monitoring
Familiar with containers, CI/CD pipelines, and operating services in cloud environments
Security-focused engineer with expertise in authentication, authorization, least privilege principles, and secure data handling
Excellent debugging and troubleshooting skills across distributed services, databases, and data workflows
Nice to have:
Experience in cybersecurity, threat intelligence, or security analytics products
Experience working with event streams, queues, or time-series data (Kafka, Kinesis, Pub/Sub, etc.)
Familiarity with ML-driven or data-intensive products and collaborating with data/ML teams
Background in building internal platforms, SDKs, or developer-facing APIs
Exposure to machine learning workflows and integrating models into backend services or data pipelines
Hands-on experience with data warehousing best practices in AWS Redshift
Understanding of serverless and cloud-native architectures on AWS
Experience working with large-scale, distributed backend systems