Senior Data Reliability Engineer

Job Description

PayNearMe develops technology to facilitate the end-to-end customer payment experience, making it easy for businesses to accept, disburse and manage payments. Our modern and reliable platform lowers the total cost of payments by increasing acceptance rates, driving self-service and simplifying exceptions. We future-proof our clients’ payments roadmap by including all payment types and channels through a single contract and integration. With PayNearMe, businesses can transform the outdated systems holding them back from achieving progress.

PayNearMe has over 200 employees, closed a $45M Series D round in June 2023 and is processing over $30B in payments annually. We’re headquartered in Silicon Valley with our employees distributed all across the U.S. Help us solve our clients’ biggest payment problems.

We’re looking to add a dynamic Senior Data Reliability Engineer, reporting to our Manager of Data Operations.

About our Data Stack:

• Cloud Provider: AWS
• Database: MySQL, PostgreSQL
• Extract/Load: Fivetran
• Transform: dbt
• Data Warehouse: Snowflake
• BI Visualization: Looker
• Code versioning: GitLab
• Preferred languages: SQL, Python
• Infrastructure as Code: Terraform/OpenTofu
• Observability: Monte Carlo, Datadog

As our Senior Data Reliability Engineer, you will design, build, and maintain the data infrastructure that powers our data platform, ensuring reliability, scalability, and performance. You will bring a Site Reliability Engineer (SRE) approach to data operations, automating workflows, and continuously improving the data infrastructure and tools to support our business needs.

What you’ll do: 

• Infrastructure Management: Design, build, and maintain scalable and reliable data infrastructure using CI/CD and continuous improvement practices using IaC to manage both SaaS and cloud platform infrastructure.  

  • Automation & Enabling Self-Service: Automate manual data operations tasks to enhance efficiency and ensure consistent, repeatable processes. Include self-service as a core tenet of the infrastructure designs and architecture.  

  • Observability: Develop and implement observability solutions to ensure data platform reliability.  Build metrics, SLIs and SLOs to measure build success/failures, infrastructure stability, capacity, etc. 

  • Data Reliability Engineering: Drive expansion of SRE practices, such as failure analysis, redundancy, automated QA and security integration, and improvement as a tool. With the goal to minimize toil and enhance the uptime and performance of our data platform.

• Data Platform Team Support: Partner with members of the Data Platform Team to design and deliver solutions that align with their requirements, fostering collaboration to ensure all infrastructure and systems meet their functional and technical needs.  

  • Collaboration Across Teams: Coordinate with data engineers, analysts, and platform teams to ensure the usability, reliability, and scalability of data solutions.

  • Data Platform Optimization: Optimize the performance and scalability of the data platform to manage costs and reliability.

  • Security and Compliance: Partner with security teams to implement industry best practices and standards like PCI or SOC 2.

• On-Call and Maintenance: Ensure data platform uptime by actively monitoring and responding to data platform issues.  

  • Data Platform On-Call: Participate in on-call rotations to address data platform issues. Manage incidents impacting the data platform, perform root cause analysis, and implement solutions to prevent recurrence.  

Incident Response: Take ownership of and continuously improve the incident response processes for the data platform.

• Experience: +3 years of experience in DataOps, data engineering, SRE, or a related role with a focus on maintaining and scaling data platforms.
• Site Reliability Engineering: Experience applying SRE principles including CI/CD, automation, IaC, etc. 
• Cloud Data Platforms: Hands-on experience with cloud-based data platform tools like Fivetran, Monte Carlo, Snowflake, AWS, and BI tools.
• Infrastructure as Code: Experience using IaC design principles to manage data infrastructure.
• CI/CD Practices: Expertise designing and implementing continuous integration and deployment processes. 
• Observability: Proficiency leveraging tools like Datadog and Monte Carlo to ensure reliability of the data platform.  
• Programming Skills: Expertise with scripting and orchestration languages like Terraform, GitLab CI, and Python for data operations and automation.
• Data Expertise: Strong understanding of data principles and technologies including their design, management, and optimization.
• Problem-Solving Skills: Demonstrated ability to troubleshoot and resolve complex data platform issues.
• Communication: Excellent collaboration and communication skills to work effectively with cross-functional teams and document technical details.

Benefits

• Base salary per year (paid semi-monthly)
• Fast- paced and professional work culture
• Stock options with standard startup vesting - 1 year cliff; 4 years total
• $50 monthly communication expense stipend to go towards your phone/internet bill
• $250 stipend to enhance your WFH setup
• Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200)
• Premium medical benefits including vision and dental (100% coverage for employees)
• Company-sponsored life and disability insurance
• Paid parental bonding leave
• Paid sick leave, jury duty, bereavement
• 401k plan
• Flexible Time Off (our team members typically take off ~3-4 weeks per year)
• Volunteer Time Off
• 13 scheduled holidays
• 2x / year in-person team meet-ups 

Salary Range: $150,000 - 170,000

PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders.

We’re in this together to do the right thing. We deliver real results we are proud of while remaining respectful, transparent, and flexible.

PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn, enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply.

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Candidate information will be treated in accordance with our job applicant privacy notice found at: https://home.paynearme.com/ccpa-privacy-notice-jobs-employees/

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