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Manager/Senior Manager/Director/Senior Director, Software Engineering
at salesforce.com, inc.
Job CategoryProducts and Technology
Manager/ Senior Manager/ Director / Senior Director, Software Engineering (All levels)
Salesforce is looking for technically strong, energetic, highly collaborative, and passionate leaders to manage our software engineering teams. You will manage and lead a team/teams of exceptional developers and keep quality in mind. We work in a collaborative environment and we value transparent communication and feedback, code reviews, and making learning fun.
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 no more than two engineering teams
Partner with PO 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 with an eye towards diversity
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
Masters / Bachelors degree required in Computer Science, Software Engineering, or Equivalent Experience
3+ years experience leading software engineering teams with a distinguished track record on technically demanding projects
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 smart, talented 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. ScrumMaster experience required
Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs
Technical Focus Areas:
Experience in managing complex projects that require a deep understanding of the cloud/web application logic and platform dependencies
Experience in managing cloud/web platform and API product development.
Prior experience in any of the following languages: Go, Python, Ruby
Experience with software-based infrastructure such as AWS, GCP, Azure, GCE, CoreOS
Experience with container orchestration systems Kubernetes, Docker, Helios, Fleet
Knowledge with network technologies, such as Layer 2, Layer 3 and routing, IPSecVPNs, TCP/IP, DNS, TLS termination, HTTP proxies.
Public cloud engineering on GCP, AWS and or Azure platforms
Implementation experience of large infrastructure projects
Working knowledge of bare-metal hardware operations with bare metal servers
ML/AI/Data Science Engineering
Experience building or leading teams that have built and and run machine learning services, such as for training & inferences, at scale
Experience in Artificial Intelligence (AI) technologies such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Voice Recognition (ASR), etc.
Hands-on experience developing production-ready machine learning driven products across a variety of classes (classification, forecasting, regressions, recommender systems, search ranking system, etc)
Big Data Engineering
Experience with open source projects like HBase, Phoenix, Kafka, HDFS, Hadoop, Cassandra, Zookeeper, OpenTSDB, Logstash, ElasticSearch, Splunk, Puppet, Spinnaker
Experience in building one or more of the following: Master Data Management, Customer 360
Accommodations - If you require assistance due to a disability applying for open positions please contact the Salesforce.com Recruiting Department.
Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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