[Hiring] Senior Software Engineer @Blackpoint Cyber

Role Description

We are seeking a Sr. Backend / Data Software Engineer who will help solve complex technical and operational problems in the cybersecurity industry. Candidates will directly support Blackpoint's cybersecurity mission, helping to stop cyber-attacks and protecting Blackpoint's rapidly growing customer base.

The Product Engineering team is seeking an experienced Backend / Data Software Engineer who will thrive in a fast-paced, remote environment. In this role, you will own the backend services and data platform that power our cybersecurity products — from high-volume ingestion of security telemetry to the pipelines, storage, and APIs that turn that data into protection for our customers. This position is ideal for a strong, versatile software engineer: someone equally comfortable building and operating data infrastructure and stepping into general backend engineering work wherever the team needs it most.

Responsibilities

• Deliver on business-critical outcomes through your contributions to our cybersecurity platform, owning backend and data services end-to-end — from design and architecture through production operation.
• Design, build, and operate scalable data pipelines and streaming ingestion for high-volume security telemetry, ensuring reliability, low latency, and cost efficiency.
• Contribute to data modeling and warehouse/lakehouse architecture decisions that serve detection, analytics, and product features.
• Deliver projects across our stack — TypeScript/Node.js, Python, and Go services hosted on Kubernetes — flexing between data engineering and general backend work as priorities shift.
• Leverage your deep understanding of design and architecture, along with best practices in design patterns.
• Excel as a team player by recognizing the importance of diverse perspectives and managing expectations and needs across numerous cross-functional groups.
• Communicate effectively with leadership to define technical solutions, aligning them with high-level business objectives and providing clear progress updates.
• Identify, evaluate, and implement AI-powered tools and practices that enhance development, testing, delivery, and observability.

Qualifications

• 5+ years of industry experience in backend and data engineering, with demonstrated expertise delivering scalable, high-performance systems in fast-paced, enterprise-level environments.
• Strong programming skills in at least two of TypeScript/Node.js, Python, and Go, with experience building and maintaining microservices architectures on Kubernetes.
• Hands-on experience building and operating production ETL/ELT and streaming data pipelines, including workflow orchestration (e.g., Airflow, Dagster) and stream processing (e.g., Kafka Streams, Flink, or Spark).
• Experience with data warehouse/lakehouse technologies (e.g., Snowflake, BigQuery, Redshift, or S3 with Parquet/Iceberg), including analytical data modeling for large datasets.
• Strong expertise in database management, with experience in schema design, performance tuning, and indexing for large-scale distributed databases (e.g., PostgreSQL, MongoDB, or Cassandra).
• Experience with message- and event-driven architectures using tools like Kafka, RabbitMQ, or other event-streaming systems to build highly scalable, decoupled services.
• Expertise in designing and consuming APIs (REST, GraphQL, or gRPC), with a focus on creating secure, scalable, and high-performance services.
• Commitment to data quality and observability — pipeline testing, monitoring, alerting, and lineage — with hands-on experience using Prometheus and Grafana to maintain system performance and health.
• Experience with cloud-native technologies on AWS (e.g., Lambda, S3, EKS/ECS, Kinesis, SQS) and designing for cost-efficient operation at scale.
• Hands-on experience with CI/CD pipelines (Jenkins, GitLab, or similar), automating testing, deployment, and scaling of services.
• A deep understanding of security best practices, such as securing APIs, handling sensitive data, and managing authentication/authorization (OAuth, JWT).
• Strong desire to work in a fast-paced, start-up environment with multiple releases a day, and experience working in an Agile development environment.
• Exceptional analytical and problem-solving abilities, with a proven track record of diagnosing complex issues, devising effective solutions, and implementing innovative approaches to overcome technical challenges.
• Demonstrated ability to leverage AI-assisted development tools to accelerate delivery while maintaining rigorous code quality, security review, and architectural integrity.

Nice to Have

• Experience working with security data at scale — EDR/endpoint telemetry, network logs, SIEM data, or similar high-volume event streams.
• Experience with Elasticsearch or similar search engines for building robust indexing and search capabilities in backend services.
• Expertise in security best practices, including penetration testing and vulnerability assessment, to safeguard applications against potential threats.
• Experience evaluating and integrating LLM-based capabilities or AI features into production SaaS products.

Benefits

• Competitive Health, Vision, Dental, and Life Insurance plans.
• Robust 401k plan.
• Discretionary Time Off.
• Other minor perks.