Senior Software Engineer – Data, Backend

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Blackpoint Cyber

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🎖️ Defense

🔒 Cybersecurity

💰 $190M Series C on 2023-06

Consulting • Defense • Cybersecurity

Blackpoint Cyber is a technology-focused cybersecurity company headquartered in Maryland, USA. Established by former US Department of Defense and Intelligence security experts, Blackpoint leverages its real-world cyber experience to help Managed Service Providers (MSPs) safeguard their infrastructure and operations. The company offers a proprietary cybersecurity ecosystem, including its SNAP-Defense platform for Managed Detection and Response (MDR) services. Blackpoint's dedicated security analysts work 24/7 to combine various security measures, including network visualization and endpoint security, to monitor and respond to threats. Additionally, Blackpoint is launching LogIC, a logging and integrated compliance service designed to assist MSPs with cyber compliance requirements. The company's mission is to deliver comprehensive detection and response services to help MSPs combat the evolving threat landscape.

📋 Description

• Own 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 • Ensure reliability, low latency, and cost efficiency of data systems • Contribute to data modeling and warehouse/lakehouse architecture decisions • Deliver projects across TypeScript/Node.js, Python, and Go services hosted on Kubernetes • Optimize systems for performance, scale, and resiliency • Collaborate with cross-functional groups and mentor other engineers • Communicate technical solutions and progress updates to leadership • Identify, evaluate, and implement AI-powered tools and practices for development, testing, delivery, and observability • Support Blackpoint Cyber’s cybersecurity mission by helping stop cyber-attacks and protect customers

🎯 Requirements

• 5+ years of industry experience in backend and data engineering • Strong programming skills in at least two of TypeScript/Node.js, Python, and Go • Experience building and maintaining microservices architectures on Kubernetes • Hands-on experience with production ETL/ELT and streaming data pipelines • Experience with workflow orchestration such as Airflow or Dagster • Experience with stream processing such as Kafka Streams, Flink, or Spark • Experience with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or S3 with Parquet/Iceberg • Analytical data modeling for large datasets • Database management, schema design, performance tuning, and indexing for large-scale distributed databases • Experience with message- and event-driven architectures using Kafka, RabbitMQ, or similar systems • Expertise designing and consuming REST, GraphQL, or gRPC APIs • Experience with pipeline testing, monitoring, alerting, and lineage • Hands-on experience with Prometheus and Grafana • Experience with AWS cloud-native technologies such as Lambda, S3, EKS/ECS, Kinesis, and SQS • Hands-on experience with CI/CD pipelines such as Jenkins or GitLab • Understanding of security best practices, sensitive data handling, and OAuth/JWT authentication and authorization • Experience in a fast-paced startup and Agile development environment • Experience leading sprint planning, breaking down initiatives, and aligning team efforts with business objectives • Exceptional analytical and problem-solving abilities • Experience leveraging AI-assisted development tools while maintaining code quality, security review, and architectural integrity • Nice to have: security data at scale, Elasticsearch, penetration testing, vulnerability assessment, and LLM-based capabilities in production SaaS products

🏖️ Benefits

• Equity • Bonus • Health insurance • Vision insurance • Dental insurance • Life insurance • 401(k) plan • Discretionary Time Off • Other minor perks • Remote work environment