LMTS- Oracle SQL with performance
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Job CategorySoftware Engineering
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Performance Engg , Salesforce Database team
Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. The company was founded on three disruptive ideas: a new technology model in cloud computing, a pay-as-you-go business model, and a new integrated corporate philanthropy model. These founding principles have taken our company to great heights, including being named one of Forbes’s “World’s Most Innovative Company” five years in a row and one of Fortune’s “100 Best Companies to Work For” eight years in a row. We are the fastest growing of the top 10 enterprise software companies, and this level of growth equals incredible opportunities to grow a career at Salesforce. Together, with our whole Ohana (Hawaiian for "family") made up of our employees, customers, partners and communities, we are working to improve the state of the world.
About the Position:
The Database engineering team is based in the Bay Area, Toronto and India. The team has the DNA of building highly scalable, mission critical enterprise products. As part of building our team in India, we are looking for engineers and leaders who are passionate about working on the RDBMS technology of massive scale and one that thrives with continuous innovation.
We are seeking creative and dynamic performance engineers to deliver the tools, analysis, and optimizations that will drive the Salesforce Core database technology to new levels of performance and scalability with every release. Our performance engineers work in a highly collaborative environment. We partner closely with database and storage system developers, application performance engineers, infrastructure engineering, and our analytics team to deliver all the pieces that add up to high performance in production at scale.
As a senior performance engineer, you will be responsible for:
- Develop, run and analyze a comprehensive suite of performance workloads and system benchmarks for release qualifications, research, and development projects
- Support application performance teams with expert query performance analysis
- Investigate production database performance issues
- Work closely with systems and application developers to deliver performance fixes and proactive improvements.
- Devise, prototype and evaluate system performance and scalability improvements (algorithmic efficiency, concurrency control, memory management, etc.)
- Profile the database engine (C code) and storage service (Java code)
- Conduct benchmarking, analysis and modeling for hardware selection and capacity management
- Collaborate with multiple teams on telemetry, dashboards, and analysis facilities to manage the performance of our rapidly growing production fleet
- Provide technical training in database performance analysis to the Salesforce engineering community
- BS or higher degree in Computer Science, Electrical Engineering, or related field
- MS or PhD in databases or distributed systems is a plus
- 3+ years experience in professional software development
- 3+ years experience in performance engineering for large scale software systems
- Strong CS fundamentals including data structures, algorithms, and system design
- Strong coding skills (Java or C/C++)
- Proficiency in SQL database programming
- Experience with SQL tuning, analyzing query plans and traces
- Fluency with Linux commands, interfaces and OS concepts
- Expertise in data analysis and visualization
- High energy and enthusiasm for technical problem solving, learning and growth mindset
- Great communication and collaboration skills
- Excellent communication skills and problem-solving skills
Desired Skills & Experience
- Java profiling tools, JVM tuning, heap dump analysis
- Working with source control systems (Git preferred)
- Linux shell scripting, Python
- Statistical analysis and experimental design
- Cloud based platforms and infrastructure (AWS, GCP, Azure)
- Docker and Kubernetes
- Experience with Splunk for performance monitoring and analytics
Either or both of the below skills
- Database and SQL experties
- Extensive experience with SQL query optimization, knowledge of DB optimizer internals
- Depth in database architecture and internals
- Systems Expertise
- Operating system concepts including processes, threads, memory management, networking, file systems, and storage
- Network technologies like DNS, Load Balancing, SSL, TCP/IP, HTTP
- Good computer architecture knowledge
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