Senior Vice President Software Engineer – Controls Engineering – Global Banking & Markets
Company | Goldman Sachs |
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Location | Dallas, TX, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Expert or higher |
Requirements
- Bachelor’s degree (US. or UK foreign equivalent) in any STEM degree, Computer Science, Information Technology, or a related field. (Finance / Quantitative Economics etc.)
- 15 years of experience in the Software Engineering industry, with six (6) years of experience in the job offered.
- Working with software engineering principles and practices
- Working knowledge of at least 2 High Level Programming Languages like Java or Python
- Working knowledge of algorithms, data structures and enterprise applications
- Formulating clear and concise written and verbal descriptions of Software and System for engineering stakeholders and tracking and managing delivery of the same
- Strong communication skills and the ability to work in a team.
- Strong analytical and problem-solving skills.
- Ability to solve high performance engineering problems in a language agnostic manner.
Responsibilities
- Manage the execution of engineering projects and establish processes to deliver high quality solutions. Proactively identify and mitigate risks, ensuring smooth execution of initiatives.
- Collaborate with engineering leadership, developers, and operations through written and verbal presentations.
- Drive continuous improvements in the overall engineering practices for software engineering, architecture and operational excellence.
- Contribute to SDLC documentation and guidance including templates, patterns, and controls.
- Lead, mentor and coach a team of Software Engineers, drive career development initiatives.
- Actively participate as a member of a global team on larger development projects, assume responsibilities of components of global projects, depending on need.
Preferred Qualifications
- Experience with Kubernetes deployment architectures
- Experience building trading controls within an investment bank.
- Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite), cloud (Snowflake) and relational (DB2, SybaseIQ) data store solutions.
- Experience in data driven performance analysis and optimizations.