ShyftLabs

Backend Engineer

• Participates in design and development of new and current systems
• Participates in enterprise architecture reviews and provides recommendations and guidance to align the POS systems to optimize Petco IT investments
• Act as technical lead for small project/feature change
• Work with the Product Management team, Project Management, Business and User Experience teams to identify and prioritize features
• Participate in all grooming, priority setting sessions, project sizing activities
• Evaluates new tools, technologies and processes to improve speed, efficiency and scalability
• Will be responsible for monitoring server and application performance using one or more of Application Performance Monitoring tools: NewRelic, CloudWatch and Sumologic
• Work closely with other development teams across Petco to troubleshoot issues and identify opportunities for seamless integrations across systems
• Works with the Production Support team to train, guide and troubleshoot production issues
• Provides coaching for Software Engineers
• Thrives on working in a fast-paced environment

Senior Software Engineer – Java, Store Commerce

Full-stack Engineer

• Accountable for the design, development and architecture of new and current systems
• Participates in enterprise architecture reviews and provides recommendations and guidance to align the POS systems to optimize Petco IT investments
• Act as technical lead for medium to large complex project/feature enhancement
• Work with the Product Management team, Project Management, Business and User Experience teams to identify and prioritize initiatives and features
• Participate in all grooming and priority setting sessions and accountable for project sizing and estimation
• Evaluates new tools, technologies and processes to improve speed, efficiency and scalability
• Will be responsible for monitoring server and application performance using one or more of Application Performance Monitoring tools: NewRelic, CloudWatch and Sumologic
• Work closely with other development teams across Petco to troubleshoot issues, performance tuning and identify opportunities for seamless integrations across systems
• Works closely with the Production Support team to train, guide and troubleshoot production issues
• Provides coaching and technical guidance for Software Engineers at different levels of experience
• Thrives on working in a fast-paced environment

Lead Software Engineer – Store Commerce

Sales Engineer

• Own the technical narrative in enterprise deals: Translate ambiguous client challenges into structured problem definitions and solution architectures grounded in real-world constraints such as data availability, infrastructure, and governance.
• Turn conversations into working systems (fast): Build prototypes, POCs, and demos using real or representative data to validate feasibility and demonstrate impact.
• Make AI real for clients: Shift discussions away from theoretical models toward practical applications, including decision systems, automation frameworks, and human-in-the-loop workflows.
• Quantify and anchor business value: Define and communicate ROI tied directly to revenue growth, cost savings, or operational efficiency.
• Partner with leadership and delivery teams: Collaborate directly with the founding team and senior leadership on strategic opportunities.
• Drive complex enterprise deals forward: Engage both technical and business stakeholders, handle objections with clarity and logic, and guide conversations toward decisive outcomes.

Sales Engineer, AI & Data Platforms

Data Engineer

• Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.
• Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing.
• Develop and manage our central data warehouse in Google BigQuery.
• Design and implement data models, schemas, and table structures optimized for performance, scalability, and long-term maintainability.
• Write clean, efficient, and maintainable SQL and Python code to transform raw data into curated, analysis-ready datasets.
• Build reliable transformation workflows that support analytics, reporting, and data science initiatives.
• Monitor, troubleshoot, and optimize data infrastructure to ensure high performance, reliability, and cost efficiency.
• Implement BigQuery best practices, including partitioning, clustering, query optimization, and materialized views.
• Build and maintain curated data models that serve as the “source of truth” for business intelligence and reporting.
• Ensure data is optimized and readily accessible for BI tools such as Looker and other analytics platforms.
• Implement automated data quality checks, validation rules, and monitoring frameworks to ensure the integrity and reliability of data pipelines and warehouse systems.
• Establish processes for data governance, observability, and lineage tracking.
• Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.
• Lead and support client and stakeholder communication, working with enterprise clients to translate business needs into scalable data solutions.
• Partner with product teams and leadership to ensure that technical data solutions align with business strategy and client expectations.
• Take ownership of data platforms and architecture decisions, helping shape the future direction of our analytics and data infrastructure.
• Identify opportunities to improve data reliability, automate workflows, and generate new insights through data.
• Contribute to a collaborative, high-performing engineering culture with strong communication and teamwork.

• Own the technical vision and architecture for the Unified Customer Data Mart, ensuring solutions are scalable, secure, compliant, and aligned with enterprise standards.
• Design and implement end-to-end data architectures of data pipelines, including raw data ingestion (Bronze), data cleaning and standardization (Silver), and curated data marts (Gold) that serve CDP, reporting, and activation use cases.
• Define and evolve data modeling standards for customer data, including customer dimensions, transaction facts, engagement events, web behavior, support interactions, and loyalty activity. Establish naming conventions, schema patterns, and architectural best practices across the customer data domain.
• Decomposing complex business requirements into structured technical solutions and driving alignment with client stakeholders.
• Formulate, compare, and present multiple architectural approaches for data ingestion, transformation, identity resolution, and consumption patterns, guiding clients and internal teams toward optimal long-term solutions that balance speed, maintainability, and scalability.
• Architect and build production-grade data pipelines using DBT and Airflow that support customer analytics, segmentation and reporting at scale.
• Partner directly with client stakeholders to understand business objectives, translate customer journey requirements into robust technical designs, and act as a trusted technical advisor on data architecture decisions.
• Lead and mentor cross-functional teams, including Analytics Engineers, Data Engineers, and BI developers, setting a high bar for technical quality, code review standards, and documentation practices.
• Influence and contribute to data governance initiatives, including PII handling, data quality frameworks, identity resolution strategies, and platform reliability. Define RLS policies, data retention rules, and compliance patterns.
• Drive the development of reusable frameworks and accelerators for customer data pipelines, including DBT macros, Airflow DAG patterns, and data quality tests that can be applied across multiple sources and brands.
• Contribute to technical strategy and roadmap planning for the building data mart, including source prioritization, and integration with downstream systems (CDP, ESP, reporting tools).

Data Architect

• This role focuses on designing, building, and optimizing scalable full-stack applications with a strong emphasis on backend development.
• You will collaborate with global cross-functional teams to deliver cloud-native solutions using AWS services, real-time data streaming technologies, and modern API architectures.
• You will own backend reliability, performance, and data design while contributing to frontend workflows, accessibility compliance, and seamless user experiences.
• The role demands strong system thinking, code quality ownership, and continuous performance and architecture improvement.
• Monitor system performance and implement optimization strategies.
• Stay up to date with industry trends, emerging technologies, and best practices to drive continuous improvement in backend development.

Full-Stack Developer

Engineer

• Own the design, development, and operations of Auth0-based Customer Identity and Access Management (CIAM) platform.
• Bridge the gap between core enterprise systems (WCS) and modern API architectures.
• Deliver hands-on Node.js development for custom authentication logic.
• Ensure operational excellence through GitLab CI/CD pipelines and forensic troubleshooting.
• Actively monitor and analyze authentication logs using Auth0 Log Streams and Datadog.
• Participate in the support rotation for the CIAM platform, ensuring rapid incident response and system resilience.