
Director of Engineering
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $211,500 - $306,600 per year
Job Level
Lead
Tech Stack
Distributed SystemsMicroservices
About the role
- Build and ship innovative end-to-end AI applications
- Provide oversight and leadership through code and design reviews for features delivered by other developers within their scrum team.
- Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners and engineer
- Make critical decisions that attribute to the success of the product
- Proactive in foreseeing issues and resolve it before it happens
- Daily management of standups as the ScrumMaster for engineering teams
- Managing communication, alignment and execution with a global team
- Partner with Product Owner to align with objectives, priorities , tradeoffs and risk
- Ensuring teams have clear priorities and adequate resources
- Empowering the delivery team to self organize
- Be a multiplier and have a passion for team and team members' success
- Providing technical guidance, career development, and mentoring to team members
- Maintaining high morale and motivating the delivery team to go above and beyond
- Vocally advocating for technical excellence and helping the teams make good decisions
- Participating in architecture discussions and planning
- Participating in cross-functional coordination, planning, and reviews with leads from other engineering teams
- Maintaining and fostering our culture by interviewing and hiring only the most qualified individuals
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp
Requirements
- Masters / Bachelors degree required in Computer Science, Software Engineering, or equivalent experience
- 5+ years experience leading software engineering teams with a distinguished track record on technically demanding projects
- Experience shipping Machine Learning applications
- Experience with Data engineering, specifically around data acquisition, creating data pipelines, metric measurement, and analysis
- Experience owning highly available services and putting processes in place to maintain uptime
- Experience managing large scale distributed systems, working with microservices and/or distributed architecture
- Prior experience working with global teams
- Strong verbal and written communication skills, organizational and time management skills
- Ability to be nimble, proactive, comfortable working with minimal specifications
- Experience with short release cycles, the full software lifecycle, and experience working on a product that's been released for public consumption
- Experience in hiring, mentoring and managing engineers
- Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations
- Experience with Agile development methodologies. Scrum leader experience required
- Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningData engineeringData pipelinesMetric measurementDistributed systemsMicroservicesSoftware engineering best practicesAgile development methodologiesScrumSoftware lifecycle
Soft skills
LeadershipCommunicationOrganizational skillsTime managementProactive problem solvingMentoringTeam empowermentMotivationCollaborationTechnical advocacy
Certifications
Masters degree in Computer ScienceBachelors degree in Software Engineering