Lead Software Engineer

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