Sr. Software Engineer, Site Reliability Engineering

Chick-fil-A•Atlanta, GA

3h•Hybrid

About The Position

Overview At Chick-fil-A, Site Reliability Engineering is a technical function which mixes in influence. Across our 3000+ North American stores, cloud, and private data centers, SREs work with our DevOps teams to introduce and hone SRE principles, establish reliability goals, and develop tooling for operational observability. We are a small team working through many different patterns to bring observability to everyone. SREs at Chick-fil-A collaborate across teams and roles, feed learnings back into the organization, and learn all the ways technology is used along the way. The team is focused on tooling and enablement rather than traditional SRE roles. Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. Responsibilities Work independently with DevOps teams to refine running production systems Building on-call processes Creating Incident Management and Response procedures Instrumenting for observability and coaching on best practices Monitoring SLIs Work to varying degrees with DevOps teams Provide consultation on SRE best practices Give guidance on specific topics Oversee groups of dedicated engineers Embed directly with teams Work with teams to define SLOs and error budgets Ensure services and systems meet availability needs of customers Document learnings to share with the broader engineering teams Ensure clear communication around SRE objectives Collaborate broadly across the entire engineering organization Oversee other SREs to bring best practices or learnings from across the organization to them Build internal tooling around operational observability Bring a strong mindset of continual improvement An aversion to toil and automatable tasks Advocate for SRE as a part of engineering culture Act as a conduit for Architecture, Security, Developer Experience, and Common Engineering Keep abreast of industry changes and evaluate for implementation Design and develop software solutions Serve as a model developer in programming languages like Java, Go, and Python Exercise skills in infrastructure and deployment services like AWS and Kubernetes as well as areas like application security, data analytics, and machine learning

Requirements

Bachelor’s Degree or the equivalent combination of education, training and experience from which comparable skills can be acquired
1+ years of relevant work experience
Experience designing complex software solutions
Broad and deep programming experience in Java, Python, Go, or other comparable languages
Experience with SQL and data modeling
Experience with non-relational databases
Experience with source control systems like Git or Subversion
Experience implementing application security, software design patterns, and software development lifecycle
Experience with observability tooling such as Datadog or Grafana
Familiarity with Agile principles as applied to software development
Experience developing and deploying applications via cloud infrastructure (AWS preferred)
Building and supporting systems
Enterprise cloud providers
Production containerized environments
Experience with CI/CD pipelines
Investigating system issues and designing solutions
Identifying areas for automation or tooling
Good interpersonal and team collaboration skills
Excellent written and verbal communication skills
Strong analytical and problem-solving skills
Ability to build strong relationships, collaborate, and influence diverse groups of engineers and non-technical roles
Ability to influence other engineers without organizational authority
Demonstrated ability to positively influence the engineering culture and practices in a professional environment

Nice To Haves

Bachelor's Degree in Computer science, information technology, computer engineering, or similar area of study
4+ years of total software engineering experience, with:
1+ years supporting a production system on a Dev-ops team
1+ years working in a cloud platform like amazon web services, google cloud, or Microsoft azure
Experience working with an agile development methodology featuring sprints, points estimation, and daily standups
Familiarity with version control systems and code merging/branching; specific experience with git desirable
Experience with Unix/Linux
Experience with test-driven development, continuous integration and deployment, Scrum discipline, or comparable software development practice
Deep understanding of AWS architecture
Experience working with an agile development methodology featuring sprints, points estimation, and daily standups
Experience in design, data collection, and data analysis
Excellent written communications (translating complex topics into clear, accurate, and understandable documentation, such as reports, manuals, and proposals)

Responsibilities

Work independently with DevOps teams to refine running production systems
Building on-call processes
Creating Incident Management and Response procedures
Instrumenting for observability and coaching on best practices
Monitoring SLIs
Work to varying degrees with DevOps teams
Provide consultation on SRE best practices
Give guidance on specific topics
Oversee groups of dedicated engineers
Embed directly with teams
Work with teams to define SLOs and error budgets
Ensure services and systems meet availability needs of customers
Document learnings to share with the broader engineering teams
Ensure clear communication around SRE objectives
Collaborate broadly across the entire engineering organization
Oversee other SREs to bring best practices or learnings from across the organization to them
Build internal tooling around operational observability
Bring a strong mindset of continual improvement
An aversion to toil and automatable tasks
Advocate for SRE as a part of engineering culture
Act as a conduit for Architecture, Security, Developer Experience, and Common Engineering
Keep abreast of industry changes and evaluate for implementation
Design and develop software solutions
Serve as a model developer in programming languages like Java, Go, and Python
Exercise skills in infrastructure and deployment services like AWS and Kubernetes as well as areas like application security, data analytics, and machine learning