Software Engineering Manager - Cloud Services
Leads a team of software engineers building reliable, scalable Python and AWS cloud services supporting ransomware detection and data protection. The role requires substantial software engineering and engineering management experience, with hands-on distributed-systems architecture and delivery leadership.
About the job
Responsibilities
- Lead a team of software engineers building cloud-native services within the Cloud Services platform.
- Design and evolve Python-based services that collect and process system data for ransomware detection workflows.
- Architect scalable systems using AWS services such as S3 and event-driven data pipelines.
- Ensure cloud services meet high standards for security, reliability, and observability.
- Drive Agile execution, including sprint planning, estimation, backlog refinement, and retrospectives.
- Establish disciplined engineering practices using delivery metrics and data-informed planning.
- Conduct performance management and coach engineers for technical and career growth.
- Review system designs and provide technical direction based on deep system understanding.
- Collaborate with Security, Platform, and SRE teams to strengthen detection and recovery capabilities.
- Use modern engineering tools, including AI-assisted development workflows, to improve team productivity while maintaining quality standards.
Requirements
- 8+ years of professional software engineering experience.
- 2+ years of direct engineering management experience.
- Strong production Python development experience.
- Hands-on experience designing or operating AWS-based distributed systems.
- Experience building scalable backend services or data-processing systems.
- Experience leading Agile software development teams.
- Ability to understand complex system data flows and architect improvements across services.
Nice-to-Haves
- Experience building data pipelines that support machine learning workflows.
- Experience integrating ML-driven detection capabilities into production systems.
- Familiarity with AWS S3 and object storage architectures.
- Experience with infrastructure-as-code tools such as Terraform.
- Experience in security, ransomware protection, or data protection domains.
- Familiarity with file systems or SMB protocols.
- Experience building anomaly detection or security telemetry systems.
- Experience operating high-availability SaaS infrastructure.
- Ability to balance hands-on technical engagement with team leadership.
- Experience using AI-assisted engineering tools responsibly.
Compensation and Benefits
- Competitive compensation programs.
- Flexible time off and leave policies.
- Comprehensive health and wellness coverage.
- Hybrid and flexible work arrangements.
- Employee referral and recognition programs.
- Professional development and learning support.
- Inclusive, collaborative team culture.
- Modern office spaces with team events and perks.
- Retirement and statutory benefits under Indian regulations.
Skills
Python, AWS, Amazon S3, Distributed Systems, Backend Services, Data Processing, Data Pipelines, Terraform, Machine Learning, Agile, Observability, Smb
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