Senior Manager, Software Development
New
Source API remote eligibility restrictions: United KingdomFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSBackend DevelopmentKubernetesData engineeringMicroservicesNLP
Requirements
- 5+ years of engineering management experience with distributed teams, ideally in backend, data engineering, or platform domains
- Solid understanding of large-scale data processing systems and cloud-native architectures
- Familiarity with AWS, Kubernetes, and microservice-based architectures - enough to guide your team's technical direction credibly
- Experience adapting delivery approaches to suit your team's context rather than following a framework by the book
- Track record of developing and mentoring engineering staff at various career stages
- Clear communicator who can bridge technical and non-technical audiences
- Passion for building inclusive, collaborative team cultures in a remote-first setting
- Experience in the cybersecurity domain, particularly threat intelligence, data enrichment, or security analytics
- Familiarity with AI/ML or natural language processing in a product context
- Experience with large-scale data ingestion and enrichment pipelines
Responsibilities
- Lead and develop a distributed engineering team across India and North America, building strong working relationships across time zones in a remote-first environment
- Own delivery of data enrichment and AI initiatives, ensuring quality, reliability, and performance at scale
- Partner with product management and technical leadership to shape the roadmap for enrichment, AI insights, and natural language capabilities
- Evaluate architecture proposals and technical approaches, choosing a path that balances risk, roadmap goals, and maintainability
- Mentor and grow engineering talent, identifying development needs and creating career growth opportunities across the team
- Build relationships with MDR analysts, threat intelligence researchers, and platform engineers to understand customer needs and inform product direction
- Manage technical debt strategically, balancing remediation against product delivery while staying current with relevant developments in security, AI, and data engineering
- Understand how the team's work connects to product success and business priorities, and use that context to guide planning decisions
- Drive engineering quality by monitoring delivery metrics, improving processes, and coordinating with security teams
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