Manager II, Production Engineering
Manager II, Production Engineering
Job Description
Responsibilities
- Lead our engineers to deliver on the biggest impact work across engineering to ensure we’re infusing best practices into our products relating to reliability, scalability, performance and efficiency
- Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with
- Continuously assess your team’s performance, address and coach under-performance, and recognize and promote high performance
- Create an inclusive and welcoming workplace where every team member feels valued and supported
- Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas
- Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
- Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization
- Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities
- Establish team norms around planning, execution, and continuous improvement
Qualifications
- 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations
- Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority
- Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products
- Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc.
- Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space
- Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure
- Knowledge of Linux systems internals and networking
- Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects
- Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeper, and Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric, etc)
- Heavy bias toward action; able to drive resolution and making quick decisions balancing being data driven along with leveraging your experience & judgement
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
177,185 - 364,795 USD / yearly
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Managing teams in SRE, Production Engineering or Platform/Infrastructure organizationsintermediate
- Building relationships and influencing without authorityintermediate
- SDLC concepts including SCM tools, Build platforms, test frameworks, CI/CD productsintermediate
- Data platform technologies such as relational databases, storage & caching, key value stores, time series data storesintermediate
- Reliability concepts and best practicesintermediate
- Public cloud platforms such as AWS, GCP, or Azureintermediate
- Linux systems internals and networkingintermediate
- Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeperintermediate
- Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric)intermediate
Required Qualifications
- 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations (experience)
- Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority (experience)
- Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products (experience)
- Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc. (experience)
- Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space (experience)
- Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure (experience)
- Knowledge of Linux systems internals and networking (experience)
- Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects (experience)
- Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeper, and Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric, etc) (experience)
- Heavy bias toward action; able to drive resolution and making quick decisions balancing being data driven along with leveraging your experience & judgement (experience)
Responsibilities
- Lead our engineers to deliver on the biggest impact work across engineering to ensure we’re infusing best practices into our products relating to reliability, scalability, performance and efficiency
- Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with
- Continuously assess your team’s performance, address and coach under-performance, and recognize and promote high performance
- Create an inclusive and welcoming workplace where every team member feels valued and supported
- Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas
- Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
- Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization
- Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities
- Establish team norms around planning, execution, and continuous improvement
Tags & Categories
Manager II, Production Engineering
Manager II, Production Engineering
Job Description
Responsibilities
- Lead our engineers to deliver on the biggest impact work across engineering to ensure we’re infusing best practices into our products relating to reliability, scalability, performance and efficiency
- Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with
- Continuously assess your team’s performance, address and coach under-performance, and recognize and promote high performance
- Create an inclusive and welcoming workplace where every team member feels valued and supported
- Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas
- Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
- Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization
- Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities
- Establish team norms around planning, execution, and continuous improvement
Qualifications
- 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations
- Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority
- Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products
- Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc.
- Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space
- Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure
- Knowledge of Linux systems internals and networking
- Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects
- Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeper, and Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric, etc)
- Heavy bias toward action; able to drive resolution and making quick decisions balancing being data driven along with leveraging your experience & judgement
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
177,185 - 364,795 USD / yearly
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Managing teams in SRE, Production Engineering or Platform/Infrastructure organizationsintermediate
- Building relationships and influencing without authorityintermediate
- SDLC concepts including SCM tools, Build platforms, test frameworks, CI/CD productsintermediate
- Data platform technologies such as relational databases, storage & caching, key value stores, time series data storesintermediate
- Reliability concepts and best practicesintermediate
- Public cloud platforms such as AWS, GCP, or Azureintermediate
- Linux systems internals and networkingintermediate
- Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeperintermediate
- Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric)intermediate
Required Qualifications
- 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations (experience)
- Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority (experience)
- Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products (experience)
- Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc. (experience)
- Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space (experience)
- Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure (experience)
- Knowledge of Linux systems internals and networking (experience)
- Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects (experience)
- Infrastructure technologies such as Docker, Kubernetes, Tensorflow, ElasticSearch, ZooKeeper, and Infrastructure as code (e.g. Terraform, Puppet, Chef, Ansible, Salt, Fabric, etc) (experience)
- Heavy bias toward action; able to drive resolution and making quick decisions balancing being data driven along with leveraging your experience & judgement (experience)
Responsibilities
- Lead our engineers to deliver on the biggest impact work across engineering to ensure we’re infusing best practices into our products relating to reliability, scalability, performance and efficiency
- Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with
- Continuously assess your team’s performance, address and coach under-performance, and recognize and promote high performance
- Create an inclusive and welcoming workplace where every team member feels valued and supported
- Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas
- Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
- Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization
- Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities
- Establish team norms around planning, execution, and continuous improvement
Tags & Categories