Job Description
Come join Deepwatch’s team of world-class cybersecurity professionals and the brightest minds in the industry. If you're ready to challenge yourself with work that matters, then this is the place for you. We're redefining cybersecurity as one of the fastest growing companies in the U.S. – and we have a blast doing it!
Who We Are
Deepwatch is the leader in managed security services, protecting organizations from ever-increasing cyber threats 24/7/365. Powered by Deepwatch’s cloud-based security operations platform, Deepwatch provides the industry’s fastest, most comprehensive detection and automated response to cyber threats together with tailored guidance from dedicated experts to mitigate risk and measurably improve security posture. Hundreds of organizations, from Fortune 100 to mid-sized enterprises, trust Deepwatch to protect their business.
Our core values drive everything we do at Deepwatch, including our approach to tackling tough cyber challenges. We seek out tenacious individuals who are passionate about solving complex problems and protecting our customers. At Deepwatch, every decision, process, and hire is made with a focus on improving our cybersecurity solutions and delivering an exceptional experience for our customers. By embracing our values, we create a culture of excellence that is dedicated to empowering our team members to explore their potential, expand their skill sets, and achieve their career aspirations, which is supported by our unique annual professional development benefit.
Deepwatch recognition includes:
- 2025, 2024, 2023, 2022 and 2021 Great Place to Work® Certified
- 2024 Military Times Best for Vets Employers
- 2024 US Department of Labor Hire Vets Gold Award
- 2024 Forbes' America's Best Startup Employers
- 2024 Cyber Defense Magazine, Global Infosec Awards
- 2023 and 2022 Fortress Cybersecurity Award
- 2023 $180M Series C investment from Springcoast Capital Partners, Splunk Ventures, and Vista Credit Partners of Vista Equity Partners
- 2022 Cybersecurity Excellence Award for MDR
Title: Lead Software Engineer
Location: Hybrid, Bengaluru
Deepwatch is seeking a Lead Software Engineer to join our team of world-class cybersecurity professionals. In this role, you will lead the design and development of key components of Deepwatch’s Cyber Resilience Platform. You will work closely with cross-functional teams to build scalable, secure, and high-performing systems that power threat detection, incident response, security automation, and data-driven insights.This highly collaborative development team focuses on handling complex issues, solving time-sensitive problems, and delivering robust solutions at scale.
This role is hands-on and delivery-focused, requiring strong technical expertise, ownership of complex features, and mentorship of engineers within the team.
In this role, you’ll get to:
- 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
To be successful in this role, you’ll need to:
- 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
Preferred Skills
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Experience with Infrastructure as Code (IaC) such as Terraform
- Familiarity with configuration management tools such as Ansible
- Understanding of authentication, authorization, caching, and performance optimization
- Experience with log analysis, alert triage workflows, and incident response processes
- Experience integrating with or building components for SOAR platforms or large-scale data lake environments
- Experience optimizing data models, queries, and performance within Snowflake
- Familiarity with GenAI ecosystems, LLM-powered workflows, embeddings, or vector database concepts
- Experience using AI-assisted coding and developer productivity tools within the software development lifecycle
Why Deepwatch?
- Mission-driven company focused on protecting customers from threats 24/7
- Hybrid work model in India, with access to collaborative office space in Bangalore
- High-impact leadership role with strong visibility across Product & Engineering
- Competitive compensation, equity, and benefits
- A company recognized as a Great Place to Work® for five consecutive years
- Opportunity to shape the future of cybersecurity and AI-driven platforms
What We Offer:
Deepwatch is excited to provide benefits designed to support team members and their families. Including:
- 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
- Learn more here: Deepwatch Benefits
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. Please review our DEI Statement here.
- Be interested in and able to work remotely from a home office when not at a corporate office
- Pass a pre-employment background check in accordance with applicable laws
Deepwatch is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, marital status, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
By submitting your application, you agree that Deepwatch may collect your personal data for recruiting, global organization planning, and related purposes. The Deepwatch Privacy Policy explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Deepwatch’s use of your personal information.