Manager - Software/Site Reliability Engineer

Company Description

McDonald’s evolving Accelerating the Arches growth strategy puts our customers and people first, and uses our competitive advantages to strengthen our brand.  We are recognized on lists like Fortune’s Most Admired Companies and Fast Company’s Most Innovative Companies.

Doubling Down on the 4Ds (Delivery, Digital, Drive Thru, and Development)
Our growth pillars emphasize the meaningful role technology plays as the leading, global omni-channel restaurant brand. Technology enables the organization through digital technology, and improving the customer, crew and employee experience each and every day.

Global Technology forging the way
Leading the digitization of our business is the Technology organization made up of intrapreneurs who build industry defining tech using the latest innovations and platforms, like AI and edge computing to deliver on the next set of cutting-edge opportunities for the business.  At McDonald’s you get to solve technology innovation challenges at an incredible scale, and work across global teams who are always eager for a challenge. This provides access to exciting career paths for technologists. It’s bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant.

Job Description

A highly motivated individual to be Software Reliability Engineer (SRE) within the Global Data & Analytics team.  The SRE would own up to five products data reliability within the Global Data & Analytics team. This role is responsible for understanding at a Macro and Micro Level how our products data reliability and how to maintain it, balancing the needs of proactively addressing data quality measures from new product deliverables and reacting to product reliability problems by understanding failures within production and working proactively through their team to resolve the issues. The SRE intimately understands the product pipelines to assit the teams in their work to resolve issues, they are able to collaborate with other SREs within technology teams to minimize the effects of data quality issues. The SRE feeds into the Product Owner work required to lower data quality issues and run costs of the solutions.

Key Accountabilties

1. Product knowledge and strategy for the future – Technical and business understanding

1. Mastery of Your product
   • Serve as an expert going deep on how your products work. Understand the data ingest, transform, load, table structures -both inbound and outbound
   • Understand the technical components of your products and be able to identify key stakeholders 
   • Recognize product performance from an end-user standpoint including data quality, responsiveness, reliability, etc.
   • Be able to engage in a conversation on all technical aspects of your products, and require others’ input only to go particularly deep
2. Mastery of the technology Product Data Reliability process
   • Continuously assess reoccurring product issues and create remediation plans
   • Continuously assess breached Data Quality monitors and drive remediation plans to closure
   • Continuously assess breached Error Budget monitors and drive remediation plans to closure
   • Liaise with operations/support and ensure expedited resolution of P1/P2 production issues
   • Be able to engage in discussions regarding whether your product is using the right solutions to address DQ issues, and always looking forward to continuously evolve and improve
   • Ensure product development is aligned to architecture principles and NFRs

2. Stakeholdering / Customer Obsession – Keeping customers top of mind

1. Own the product data quality
   • Accountable for executing required data remediations identified through the GTDR process
   • Prioritize production issues so Product Owner can more effectively define Sprints workload
   • Working with Product Managers to ensure reliability issues are prioritized and remediated
   • Maintain knowledge management documentation of products to provide Run Ops Team with skill set to succeed
   • Accountable for reducing MTTR, MTTD overall
   • Ensuring our end customer use cases are accounted for in our monitoring
2. Be customer obsessed – ensure your products are working well and evolving appropriately
   • Ensure Critical Data Elements are monitored, and issues are proactively addressed
   • Ensure Product reliability and quality, especially data quality for core data-centric product 
   • Conduct Data Quality rule acceptance of features and epics according to the definition of done
     • Be an advocate for the end-user experience
     • Work on ensuring long term automation and reducing technical debt

3. Collaboration Capability – Working with others across the organization

1. Be the catalyst for collaboration
   • Collaborate with Product Manager and Delivery Lead and ensure implementation of PDR principles in product build
   • Join forces with other SREs across the organization (within data and upstream) to ensure alignment and coordination across products as necessary for multi-product work and initiatives
   • Champion Data Reliability within team and to wider audiences
   • Cascade SRE knowledge into the data domain
2. Auditing runops teams
   • Lead annual audit processes of runops team to ensure team are maintaining knowledge and accountability of the product

Qualifications

The leadership we are seeking:

The BEST leadership model defines the characteristics and behaviors— the Building Blocks—that make all employees successful at McDonald’s and the three areas in which an employee must be proficient to accelerate our business results and deliver on our strategy: Execution, Strategy, Talent. Global Technology also uses Technical Proficiency

Building Blocks for Success

• Show an openness to learning
• Ability to adapt approach to new and different situations
• Takes on challenge with energy and optimism
• Ability to build a network throughout area of scope based on trust and regard for others
• Strong leadership and communication skills
• Ability to work collaboratively with others and navigate complex decision making
• Ability to interact with customers at a variety of levels and across function

Execution Proficency

• Track record of delivering results that significantly impact the business
• History of holding self and team accountable for delivering high quality work
• Skilled at defining and prioritizing product opportunities, building feedback loops, and creating product metrics
• Ability to find a way with resources available
• Acts as a student of the business

Strategic Proficiency

• Leads with customers in mind
• Stays connected to key stakeholders and their needs
• Identifies industry trends to guide team’s work

Talent Proficiency

• Coaches and provides candid feedback for development and growth
• Provides direction, alignment and sport to improve teams’ performance
• Finds a way to incorporate others best thinking into solutions
• Helps others adapt in the face of resistance

Technical Proficiency

• Preferred: Experience with AWS environment or other Cloud Environment
• Experience working with data and analytics products.
• Preferred: Business intelligence products in the enterprise space
• Working knowledge of cloud-based data systems
• Knowledge of devOps and data reliability
• Knowledge of the Agile methodology
• Experience working with and managing a large professional services partner with on and offshore resources
• SQL experience on large complex data sets is strongly preferred.
• Python experience to be able to do root cause analysis 

Additional Information

McDonald’s is committed to providing qualified individuals with disabilities reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact recruiting.supportteam@us.mcd.com

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Nothing in this job posting or description should be construed as an offer or guarantee of employment.

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