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Manager, Software Engineering - Cloud Atlas
Salesforce
San Francisco, USA
Full-time
Manager
Discovered Yesterday
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- Lead, empower, and develop a team of software engineers delivering application programming interfaces (APIs), logging and monitoring, performance tuning, and highly available datastore services.
- Develop short- and long-term product and operational strategies for Cloud Atlas in partnership with product management and architecture teams.
- Manage project priorities, deadlines, and deliverables using Agile methodologies, such as Scrum and Kanban.
- Drive software quality, performance, security, and resilience through code reviews, continuous integration, and incident response.
- Develop each engineer's ability to work effectively in an AI-augmented environment, moving beyond tracking output to actively coaching growth into higher-level system design and architecture work.
- Own how AI tools are integrated into the team's daily development cycle, including configuration, feedback loops, and the judgment calls about when human review is required to validate output.
- Serve as the guardian of architectural integrity, security best practices, and technical standards as AI increases code volume, coaching engineers to critically audit AI-generated code for logic flaws, vulnerabilities, and performance issues.
- You have direct people management experience leading software engineering teams.
- You have strong software development experience with a solid grasp of Java, web services (representational state transfer/remote procedure call, or REST/RPC), and system architecture.
- You're familiar with Linux/Unix command line, bash, microservices architecture, and distributed systems.
- You have excellent oral and written communication skills, with a track record of cross-team collaboration.
- You have active, hands-on proficiency with AI development tools; full utilization is the baseline expectation, along with deep technical expertise sufficient to evaluate architectural integrity and make informed decisions about AI-generated output.
- You have experience assessing candidates on their ability to formulate effective prompts, evaluate AI outputs, and orchestrate multi-agent workflows in addition to foundational technical skills.
- You have experience with NoSQL datastores.
- You know your way around containerization and orchestration platforms, such as Docker and Kubernetes.
- You've deployed applications to public cloud platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, or OpenStack.
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