Manager of Software Engineering (Cloud Atlas)

• Cloud Atlas is a globally distributed, highly available, multi-master replicated datastore powering user logins and authentication between Salesforce services
• We're looking for an engineering manager to lead a friendly, high-impact team with expertise across Java, NoSQL, and DevOps practices, building, maintaining, and scaling critical authentication infrastructure
• 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

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

• 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 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 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 have excellent oral and written communication skills, with a track record of cross-team collaboration
• You're familiar with Linux/Unix command line, bash, microservices architecture, and distributed systems
• You have direct people management experience leading software engineering teams
• You know your way around containerization and orchestration platforms, such as Docker and Kubernetes
• You have experience with NoSQL datastores
• You've deployed applications to public cloud platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, or OpenStack
• You have a solid understanding of web security, authentication and authorization frameworks, and public key infrastructure (PKI)