Member, Technical Staff job description
Updated March 14, 2024
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Example member, technical staff requirements on a job description
Member, technical staff requirements can be divided into technical requirements and required soft skills. The lists below show the most common requirements included in member, technical staff job postings.
Sample member, technical staff requirements
- Bachelor's Degree in Computer Science, Engineering or related field.
- At least 3 years of technical experience.
- Strong understanding of programming languages and web development.
- Excellent problem solving and analytical skills.
- Ability to work with large data sets.
Sample required member, technical staff soft skills
- Excellent communication and interpersonal skills.
- Ability to work in a team environment.
- Strong attention to detail.
- Ability to prioritize and manage multiple tasks.
Member, Technical Staff job description example 1
Chick-fil-A member, technical staff job description
We are looking for both full and part-time Kitchen Team Members to join the Chick-fil-A Auburn Gold Rush team and help us live out our vision to surprise every guest by joy at our quality, courtesy, and quickness. We are looking for friendly, enthusiastic people who enjoy serving customers, and who enjoy being a part of a team, working towards something that is bigger than themselves. Being a member of the Chick-fil-A Auburn Gold Rush team is an opportunity for people of all ages and backgrounds, and no experience is required, though prior kitchen experience is a plus. We will teach you everything you need to know!
Serve as the heart of Chick-fil-A Auburn Gold Rush by preparing hot and cold food items, paying special attention to quality and food safety
Responsibly manage and maintain inventory and equipment Maintain impeccable cleanliness of the restaurant—inside and out Support the team in achieving exemplary service and sales goals As a member of the kitchen team, roles may include any of the kitchen areas including food prep, assembly and cooking including produce, raw, cold & hot breakfast/lunch/dinner products, equipment maintenance, putting away truck and inventory, monitoring and preventing waste Communicates effectively with drive thru team members concerning wait times
Preferred Characteristics
Be a person of integrity, who is able to consistently align his/her actions with the values and standards of Chick-fil-A Auburn Gold Rush Be a person who treats those they work with, as well as guests, with honor, dignity, and respect Be a person who strives to do the right thing, at the right time, in the right way, for the right reasons Be a person who demonstrates a habit of caring for everyone in the organization and every guest in the community through the ways in which you serve and sacrifice, putting the needs of others before your own Be a person who takes ownership of his or her actions every day Be a team player, always looking for ways to lighten the burden of other members by serving each other
Compensation & Benefits:
Sundays, Christmas and Thanksgiving off Fun, positive and professional environment Generous meal benefits Team social events Career options, including advancement to leadership positions Leadership training and development opportunities Emphasis on Work-Life balance Opportunity to work with franchised local ownership Scholarship opportunities
REQUIREMENTS
Must have a source of reliable transportation Must have a sense of urgency and work well under pressure Able to lift up to 50 lbs., stand for up to 4 hours, and reach across counter tops measuring 36 inches in length 1+ years of kitchen experience is a plus Must be 18 years of age Must be available to work on Friday & Saturdays
ABOUT THE COMPANY
Nestled in the Northern California foothills, Chick-fil-A Auburn Gold Rush enjoys serving the Auburn community. Our vision is to surprise every guest by joy at our quality, courtesy, and quickness.
At Chick-fil-A Auburn Gold Rush the team member role is more than just a job, it's an opportunity. In addition to working directly for an independent Local Franchise Operator, you gain life experience that goes far beyond just serving a great product in a friendly environment. We pride ourselves on our ability to help each of our team members use their experience working with us to accomplish their life's goals. Whether that is by continuing to grow and advance with us in new and challenging leadership roles or by instilling the values necessary to be successful in whatever your chosen endeavor, it is our goal to help you get where you want to go and to have fun along the way. Apply today at www.cfaauburn.com!
Serve as the heart of Chick-fil-A Auburn Gold Rush by preparing hot and cold food items, paying special attention to quality and food safety
Responsibly manage and maintain inventory and equipment Maintain impeccable cleanliness of the restaurant—inside and out Support the team in achieving exemplary service and sales goals As a member of the kitchen team, roles may include any of the kitchen areas including food prep, assembly and cooking including produce, raw, cold & hot breakfast/lunch/dinner products, equipment maintenance, putting away truck and inventory, monitoring and preventing waste Communicates effectively with drive thru team members concerning wait times
Preferred Characteristics
Be a person of integrity, who is able to consistently align his/her actions with the values and standards of Chick-fil-A Auburn Gold Rush Be a person who treats those they work with, as well as guests, with honor, dignity, and respect Be a person who strives to do the right thing, at the right time, in the right way, for the right reasons Be a person who demonstrates a habit of caring for everyone in the organization and every guest in the community through the ways in which you serve and sacrifice, putting the needs of others before your own Be a person who takes ownership of his or her actions every day Be a team player, always looking for ways to lighten the burden of other members by serving each other
Compensation & Benefits:
Sundays, Christmas and Thanksgiving off Fun, positive and professional environment Generous meal benefits Team social events Career options, including advancement to leadership positions Leadership training and development opportunities Emphasis on Work-Life balance Opportunity to work with franchised local ownership Scholarship opportunities
REQUIREMENTS
Must have a source of reliable transportation Must have a sense of urgency and work well under pressure Able to lift up to 50 lbs., stand for up to 4 hours, and reach across counter tops measuring 36 inches in length 1+ years of kitchen experience is a plus Must be 18 years of age Must be available to work on Friday & Saturdays
ABOUT THE COMPANY
Nestled in the Northern California foothills, Chick-fil-A Auburn Gold Rush enjoys serving the Auburn community. Our vision is to surprise every guest by joy at our quality, courtesy, and quickness.
At Chick-fil-A Auburn Gold Rush the team member role is more than just a job, it's an opportunity. In addition to working directly for an independent Local Franchise Operator, you gain life experience that goes far beyond just serving a great product in a friendly environment. We pride ourselves on our ability to help each of our team members use their experience working with us to accomplish their life's goals. Whether that is by continuing to grow and advance with us in new and challenging leadership roles or by instilling the values necessary to be successful in whatever your chosen endeavor, it is our goal to help you get where you want to go and to have fun along the way. Apply today at www.cfaauburn.com!
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Member, Technical Staff job description example 2
Dish member, technical staff job description
DISH is transforming the future of connectivity. We're doing it by building the country's first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it's a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.
Job Duties and Responsibilities
As a Member of Scientific Staff, you will work in agile teams to deliver data-driven continuous improvements of our cloud network and related ecosystem. Define and run experiments, in a wide variety of technical areas, to test our cloud network and related ecosystem. Analyze data to discover opportunities and quantify improvements in performance and quality of our cloud network and related ecosystem. Deliver business performance/capability Improvements, by executing projects from initial data exploration through proof of concept, refinement, automation and delivery of as a Service (aaS) solution
In this role you will:
Embrace "cloud native" principles and help implement Everything as Code Take initiative to discover opportunities for continuous improvement Perform exploratory data analysis, data cleansing, and apply statistical and AI/ML methods to a wide variety of data types Document Proof of Concepts, results and best practices Present demos of your work with executives and colleagues on a regular basis, as well as review and provide feedback on peer demos Learn from subject matter experts and contribute to the discovery and implementation of a first-of-its-kind cloud network and related ecosystem Work with teams of network engineers, build / site reliability engineers, data scientists, and program managers both internally and across the ecosystem Work in a DevOps manner: continuously learn, question, experiment, and analyze results in a high velocity team Think critically: applying common sense, creativity, and technical expertise to challenging problems to develop new systems rather than settle for "the way it's always been done" Deliver as Code and as a Service solutions to enable further automation and AI/ML driven improvements Work across an ecosystem of cloud providers, independent software vendors, developers and enterprise channels
Skills, Experience and Requirements
A successful MSS will have the following at a minimum:
Bachelor's Degree or equivalent from four-year College or technical school, preferably in Computer Science, Computer Engineering, Information Systems, or other STEM-related field Proven ability to quickly learn new concepts, processes, and software and proven ability to deliver quantifiable results with minimal supervision Proficiency in coding using one or more of the following: such as Python, Go, R, or equivalent languages Experience with data visualization tools: such as Grafana, ELK, Tableau, AWS Quicksight
Strong communication/presentation skills and confidence to work with internal and external partners Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions Willing to get hands dirty and dive deep into technical details whenever necessary Problem solving: ability to analyze and resolve complex issues regardless of prior expertise
The following additional qualifications are a plus:
Masters in Computer Science, Computer Engineering, Telecommunications, or a related field 2+ years of experience in an advanced technology industry and data-driven environment Strong software engineering fundamentals including writing high performance code, testing and debugging Experience working with CI/CD pipelines, infrastructure automation, and a container-based software environment Experience using ETL (Extract, Transform, and Load) and using SQL-based and non-SQL-based technologies: such as AWS Athena, BigQuery, Spark, Hadoop, Hive, Impala, etc Experience with foundational AWS services: such as EC2, S3, EMR, EKS, Cloudwatch, Redshift, etc Experience using common data science techniques such as data mining, time series data analysis, multivariate analysis, clustering, regression - logistical and linear, and pattern recognition Experience with ML tools such as Tensorflow and Scikit-learn Familiarity with agile methodologies, scrum, kanban, etc Industry certifications on DevOps, Cloud Platforms, Kubernetes Knowledge of Defect Management Systems such as Jira or GitHub
Salary Range
Compensation: $64,150.00/Year - $94,000.00/Year
Benefits
From versatile health perks to new career opportunities, check out our benefits on our careers website .
Candidates need to successfully complete a pre-employment screen, which may include a drug test.
Job Duties and Responsibilities
As a Member of Scientific Staff, you will work in agile teams to deliver data-driven continuous improvements of our cloud network and related ecosystem. Define and run experiments, in a wide variety of technical areas, to test our cloud network and related ecosystem. Analyze data to discover opportunities and quantify improvements in performance and quality of our cloud network and related ecosystem. Deliver business performance/capability Improvements, by executing projects from initial data exploration through proof of concept, refinement, automation and delivery of as a Service (aaS) solution
In this role you will:
Embrace "cloud native" principles and help implement Everything as Code Take initiative to discover opportunities for continuous improvement Perform exploratory data analysis, data cleansing, and apply statistical and AI/ML methods to a wide variety of data types Document Proof of Concepts, results and best practices Present demos of your work with executives and colleagues on a regular basis, as well as review and provide feedback on peer demos Learn from subject matter experts and contribute to the discovery and implementation of a first-of-its-kind cloud network and related ecosystem Work with teams of network engineers, build / site reliability engineers, data scientists, and program managers both internally and across the ecosystem Work in a DevOps manner: continuously learn, question, experiment, and analyze results in a high velocity team Think critically: applying common sense, creativity, and technical expertise to challenging problems to develop new systems rather than settle for "the way it's always been done" Deliver as Code and as a Service solutions to enable further automation and AI/ML driven improvements Work across an ecosystem of cloud providers, independent software vendors, developers and enterprise channels
Skills, Experience and Requirements
A successful MSS will have the following at a minimum:
Bachelor's Degree or equivalent from four-year College or technical school, preferably in Computer Science, Computer Engineering, Information Systems, or other STEM-related field Proven ability to quickly learn new concepts, processes, and software and proven ability to deliver quantifiable results with minimal supervision Proficiency in coding using one or more of the following: such as Python, Go, R, or equivalent languages Experience with data visualization tools: such as Grafana, ELK, Tableau, AWS Quicksight
Strong communication/presentation skills and confidence to work with internal and external partners Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions Willing to get hands dirty and dive deep into technical details whenever necessary Problem solving: ability to analyze and resolve complex issues regardless of prior expertise
The following additional qualifications are a plus:
Masters in Computer Science, Computer Engineering, Telecommunications, or a related field 2+ years of experience in an advanced technology industry and data-driven environment Strong software engineering fundamentals including writing high performance code, testing and debugging Experience working with CI/CD pipelines, infrastructure automation, and a container-based software environment Experience using ETL (Extract, Transform, and Load) and using SQL-based and non-SQL-based technologies: such as AWS Athena, BigQuery, Spark, Hadoop, Hive, Impala, etc Experience with foundational AWS services: such as EC2, S3, EMR, EKS, Cloudwatch, Redshift, etc Experience using common data science techniques such as data mining, time series data analysis, multivariate analysis, clustering, regression - logistical and linear, and pattern recognition Experience with ML tools such as Tensorflow and Scikit-learn Familiarity with agile methodologies, scrum, kanban, etc Industry certifications on DevOps, Cloud Platforms, Kubernetes Knowledge of Defect Management Systems such as Jira or GitHub
Salary Range
Compensation: $64,150.00/Year - $94,000.00/Year
Benefits
From versatile health perks to new career opportunities, check out our benefits on our careers website .
Candidates need to successfully complete a pre-employment screen, which may include a drug test.
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Member, Technical Staff job description example 3
DISH Network member, technical staff job description
DISH is transforming the future of connectivity. We're doing it by building the country's first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it's a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.
Job Duties and Responsibilities
As a Member of Scientific Staff, you will work in agile teams to deliver data-driven continuous improvements of our cloud network and related ecosystem. Define and run experiments, in a wide variety of technical areas, to test our cloud network and related ecosystem. Analyze data to discover opportunities and quantify improvements in performance and quality of our cloud network and related ecosystem. Deliver business performance/capability Improvements, by executing projects from initial data exploration through proof of concept, refinement, automation and delivery of as a Service (aaS) solution
In this role you will:
Embrace "cloud native" principles and help implement Everything as Code Take initiative to discover opportunities for continuous improvement Perform exploratory data analysis, data cleansing, and apply statistical and AI/ML methods to a wide variety of data types Document Proof of Concepts, results and best practices Present demos of your work with executives and colleagues on a regular basis, as well as review and provide feedback on peer demos Learn from subject matter experts and contribute to the discovery and implementation of a first-of-its-kind cloud network and related ecosystem Work with teams of network engineers, build / site reliability engineers, data scientists, and program managers both internally and across the ecosystem Work in a DevOps manner: continuously learn, question, experiment, and analyze results in a high velocity team Think critically: applying common sense, creativity, and technical expertise to challenging problems to develop new systems rather than settle for "the way it's always been done" Deliver as Code and as a Service solutions to enable further automation and AI/ML driven improvements Work across an ecosystem of cloud providers, independent software vendors, developers and enterprise channels
Skills, Experience and Requirements
A successful MSS will have the following at a minimum:
Bachelor's Degree or equivalent from four-year College or technical school, preferably in Computer Science, Computer Engineering, Information Systems, or other STEM-related field Proven ability to quickly learn new concepts, processes, and software and proven ability to deliver quantifiable results with minimal supervision Proficiency in coding using one or more of the following: such as Python, Go, R, or equivalent languages Experience with data visualization tools: such as Grafana, ELK, Tableau, AWS Quicksight
Strong communication/presentation skills and confidence to work with internal and external partners Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions Willing to get hands dirty and dive deep into technical details whenever necessary Problem solving: ability to analyze and resolve complex issues regardless of prior expertise
The following additional qualifications are a plus:
Masters in Computer Science, Computer Engineering, Telecommunications, or a related field 2+ years of experience in an advanced technology industry and data-driven environment Strong software engineering fundamentals including writing high performance code, testing and debugging Experience working with CI/CD pipelines, infrastructure automation, and a container-based software environment Experience using ETL (Extract, Transform, and Load) and using SQL-based and non-SQL-based technologies: such as AWS Athena, BigQuery, Spark, Hadoop, Hive, Impala, etc Experience with foundational AWS services: such as EC2, S3, EMR, EKS, Cloudwatch, Redshift, etc Experience using common data science techniques such as data mining, time series data analysis, multivariate analysis, clustering, regression - logistical and linear, and pattern recognition Experience with ML tools such as Tensorflow and Scikit-learn Familiarity with agile methodologies, scrum, kanban, etc Industry certifications on DevOps, Cloud Platforms, Kubernetes Knowledge of Defect Management Systems such as Jira or GitHub
Salary Range
Compensation: $64,150.00/Year - $94,000.00/Year
Benefits
From versatile health perks to new career opportunities, check out our benefits on our careers website .
Candidates need to successfully complete a pre-employment screen, which may include a drug test.
Job Duties and Responsibilities
As a Member of Scientific Staff, you will work in agile teams to deliver data-driven continuous improvements of our cloud network and related ecosystem. Define and run experiments, in a wide variety of technical areas, to test our cloud network and related ecosystem. Analyze data to discover opportunities and quantify improvements in performance and quality of our cloud network and related ecosystem. Deliver business performance/capability Improvements, by executing projects from initial data exploration through proof of concept, refinement, automation and delivery of as a Service (aaS) solution
In this role you will:
Embrace "cloud native" principles and help implement Everything as Code Take initiative to discover opportunities for continuous improvement Perform exploratory data analysis, data cleansing, and apply statistical and AI/ML methods to a wide variety of data types Document Proof of Concepts, results and best practices Present demos of your work with executives and colleagues on a regular basis, as well as review and provide feedback on peer demos Learn from subject matter experts and contribute to the discovery and implementation of a first-of-its-kind cloud network and related ecosystem Work with teams of network engineers, build / site reliability engineers, data scientists, and program managers both internally and across the ecosystem Work in a DevOps manner: continuously learn, question, experiment, and analyze results in a high velocity team Think critically: applying common sense, creativity, and technical expertise to challenging problems to develop new systems rather than settle for "the way it's always been done" Deliver as Code and as a Service solutions to enable further automation and AI/ML driven improvements Work across an ecosystem of cloud providers, independent software vendors, developers and enterprise channels
Skills, Experience and Requirements
A successful MSS will have the following at a minimum:
Bachelor's Degree or equivalent from four-year College or technical school, preferably in Computer Science, Computer Engineering, Information Systems, or other STEM-related field Proven ability to quickly learn new concepts, processes, and software and proven ability to deliver quantifiable results with minimal supervision Proficiency in coding using one or more of the following: such as Python, Go, R, or equivalent languages Experience with data visualization tools: such as Grafana, ELK, Tableau, AWS Quicksight
Strong communication/presentation skills and confidence to work with internal and external partners Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions Willing to get hands dirty and dive deep into technical details whenever necessary Problem solving: ability to analyze and resolve complex issues regardless of prior expertise
The following additional qualifications are a plus:
Masters in Computer Science, Computer Engineering, Telecommunications, or a related field 2+ years of experience in an advanced technology industry and data-driven environment Strong software engineering fundamentals including writing high performance code, testing and debugging Experience working with CI/CD pipelines, infrastructure automation, and a container-based software environment Experience using ETL (Extract, Transform, and Load) and using SQL-based and non-SQL-based technologies: such as AWS Athena, BigQuery, Spark, Hadoop, Hive, Impala, etc Experience with foundational AWS services: such as EC2, S3, EMR, EKS, Cloudwatch, Redshift, etc Experience using common data science techniques such as data mining, time series data analysis, multivariate analysis, clustering, regression - logistical and linear, and pattern recognition Experience with ML tools such as Tensorflow and Scikit-learn Familiarity with agile methodologies, scrum, kanban, etc Industry certifications on DevOps, Cloud Platforms, Kubernetes Knowledge of Defect Management Systems such as Jira or GitHub
Salary Range
Compensation: $64,150.00/Year - $94,000.00/Year
Benefits
From versatile health perks to new career opportunities, check out our benefits on our careers website .
Candidates need to successfully complete a pre-employment screen, which may include a drug test.
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Updated March 14, 2024
Updated March 14, 2024