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Manager/Senior Manager/Director/Senior Director, Software Engineering

Bellevue, WA, USA | MuleSoft

  • Industry:
    Computer Software / Computer Games
  • Position Type:
  • Functions:
    IT / Information Technology
  • Experience:
    3-5 years
Job Description:
96 people have viewed this job

Job Details

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.


Responsibilities:


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


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


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


Required Skills:


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, 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. 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:


Platform Engineering


Experience in leading complex projects that require a deep understanding of the cloud/web application logic and platform dependencies


In-depth understanding of OOP, algorithms and data structures, concurrency design, and server-side development. Experience in Java/C++, JavaScript, HTML5, Oracle/SQL.


Experience in managing cloud/web platform and API product development.


UI Engineering


Experience with modern web software development technologies: languages, frameworks and tools


Experience with UI for enterprise grade SaaS software


Experience leading teams that developed web applications with modern UI frameworks like React, Angular, Ember, Web Components


Infrastructure Engineering


Prior experience in any of the following languages: Go, Python, Ruby


Experience with container orchestration systems Kubernetes, Docker, Helios, Fleet


Public cloud engineering on GCP (Google Cloud Platform), AWS (Amazon Web Services) and or Azure platforms


Understanding of network technologies, such as Layer 2, Layer 3 and routing, IPSecVPNs, TCP (Transmission Control Protocol) /IP (Internet Protocol), DNS (Domain Name System), TLS termination, HTTP proxies.


Implementation experience of large infrastructure projects


Experience managing internal tooling and DevOps teams


ML/AI/Data Science Engineering


Experience managing 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 Deep Learning, Natural Language Processing (NLP), Voice Recognition (ASR), etc.


Experience developing production-ready 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


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