
201 - 500 employees
🔒 Cybersecurity
🏢 Enterprise
🔐 Security
Cybersecurity • Enterprise • Security
Deepwatch is a leading managed security platform for the cyber resilient enterprise. The company integrates detection and awareness technologies with effective responses to provide seamless enterprise protection. Deepwatch offers managed detection and response, endpoint detection and response, vulnerability management, and managed firewall services. With Deepwatch, companies can expect reduced false positives, improved security posture, and exceptional ROI. The platform combines cutting-edge software, industry-leading security technologies, and a dedicated expert team to ensure comprehensive protection across all fronts. Deepwatch positions itself as an extension of its clients' teams, offering services from advanced threat detection and response to personalized security programs tailored to each business's risk tolerance and resources.
🕒 6 days ago
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
GraphQL
Java
Kafka
Microservices
MongoDB
MySQL
NoSQL
Postgres
Python
RabbitMQ
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201 - 500 employees
🔒 Cybersecurity
🏢 Enterprise
🔐 Security
Cybersecurity • Enterprise • Security
Deepwatch is a leading managed security platform for the cyber resilient enterprise. The company integrates detection and awareness technologies with effective responses to provide seamless enterprise protection. Deepwatch offers managed detection and response, endpoint detection and response, vulnerability management, and managed firewall services. With Deepwatch, companies can expect reduced false positives, improved security posture, and exceptional ROI. The platform combines cutting-edge software, industry-leading security technologies, and a dedicated expert team to ensure comprehensive protection across all fronts. Deepwatch positions itself as an extension of its clients' teams, offering services from advanced threat detection and response to personalized security programs tailored to each business's risk tolerance and resources.
• Lead the design and development of scalable backend services and platform capabilities • Build and enhance product features that power the Deepwatch Cyber Resilience Platform • Contribute to architecture decisions within your team, ensuring scalability, performance, and security best practices • Develop and maintain internal tools that optimize operational workflows • Design and implement APIs (REST/GraphQL) and microservices-based solutions • Build and maintain data pipelines and integrations within our data environment, including Snowflake and related data platforms • Develop integrations with security tools (e.g., EDRs, SIEMs, Ticketing Systems, Threat Intelligence Feeds) • Write high-quality, reusable, and testable code with strong unit and end-to-end test coverage • Collaborate closely with Product, Security Experts, and other engineering teams to deliver robust solutions • Mentor junior engineers and support code reviews, technical guidance, and best practices • Leverage AI capabilities and automation to improve platform intelligence and engineering efficiency • Leverage AI-assisted development tools and automation frameworks to improve engineering productivity, code quality, and delivery efficiency • Contribute to the development of AI-enabled platform capabilities and integrations leveraging modern GenAI technologies
• 5-8+ years of experience in object-oriented programming and backend development • Strong experience building REST or GraphQL APIs with automated unit testing • Solid understanding of microservices architecture and distributed systems • Strong programming skills in Java (mandatory), with working knowledge of Python preferred. • Hands-on experience working with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, or equivalent) • Experience working within modern data environments, including building or integrating with data lakes, data warehouses, and Snowflake • Experience with data streaming or pipeline technologies such as Kafka, RabbitMQ, or similar • Exposure to OpenSearch or similar search/indexing technologies • Experience with cloud platforms such as AWS, GCP, or Azure • Strong working knowledge of Git and CI/CD processes • Experience working in Agile development environments and practicing test-driven development • Understanding of secure coding practices (OWASP) and security-first engineering mindset • Ability to independently drive features from design to production • Familiarity with modern AI-assisted software development tools and engineering productivity workflows • Understanding of Generative AI concepts, Large Language Models (LLMs), and their practical applications in software platforms • Exposure to integrating or working with AI/ML-driven systems, APIs, or automation workflows is a plus
• Medical, dental, vision, and disability insurance • Flexible Time Off (FTO), 12 company holidays, sick leave and 8-Weeks Paid Parental Leave • Unique professional development benefits with Annual “development dollars” to support our people growth and development • Wellness contests and monthly educational programs • 401(K) retirement program
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