about 6 hours ago
Responsibilities
- Own and drive the technical vision and architecture for automation across the platform.
- Design and build large-scale automation frameworks, tools, and scale-test environments.
- Lead the design and implementation of end-to-end integration, load, and stress tests for backup and restore across AWS, GCP, and Azure.
- Set and evangelize best practices in testing, automation, and product quality across multiple teams.
- Drive adoption of agentic AI-assisted coding and AI agents to accelerate how the team builds and ships.
- Partner with Development, Product Management, and Customer Success leadership on strategy, risk, and customer escalations.
- Mentor and grow engineers through design discussions, code reviews, and technical coaching.
- Influence cross-team technical decisions and align implementations with the broader engineering direction.
Requirements
- 8+ years of industry experience designing and building automation and/or test frameworks for large-scale production systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Deep expertise in Python or Go and in designing scalable, maintainable automation architecture.
- Proven track record as a hands-on technical leader who has set direction and raised the quality bar across teams.
- Strong experience with public cloud technologies (AWS, Azure, or GCP) and cloud-native system design.
- Experience mentoring engineers and influencing technical decisions across an organization.
- Working knowledge of English.
Benefits
- Collaborate with amazing, driven, and supportive teammates.
- Shape the technical direction of high-impact, large-scale cloud data protection systems.
- Enjoy continuous professional growth through development programs and clear career pathways.
- Thrive in an inclusive, open culture with opportunities to connect through Community Guilds.
- Receive generous global benefits designed to support your well-being.
- Earn competitive compensation that reflects your impact.
- Share in success through the Employee Stock Purchase Plan.