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Chick-fil-A Corporate

Position Title Sr. Software Engineer, Site Reliability Engineering

Chick-fil-A Corporate, Atlanta, Georgia, United States, 30383

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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

Knowledge, skills, and abilities:

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 authorityDemonstrated ability to positively influence the engineering culture and practices in a professional environment

Note - Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is shared among the team members to cover weekends and weeknights. The goal is to design for failure and, using cloud-native infrastructure patterns, automate responses to possible issues so they can be worked during normal hours.

Minimum Qualifications

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)

Preferred Qualifications

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)

Minimum Years of Experience 1

Travel Requirements 10%

Required Level of Education Bachelor's degree or equivalent experience

Preferred Level of Education Bachelor's Degree

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