Bounteous

• Lead the development and support of enterprise-scale SAP Commerce (Hybris) applications for a leading U.S. client • Act as a technical mentor and ensure stability and scalability of eCommerce platforms and Product Browse application • Own RCA and resolution for critical incidents and complex order-flow issues • Design and implement hotfixes and enhancements (up to 100 hours/month) • Review code, enforce best practices, and guide junior developers • Collaborate with SDM for governance and KPI reporting • Ensure compliance with PCI, ADA, and security standards • Participate in release planning and CAB meetings • Cross-train team members on Hybris, Java, and GraphQL integrations

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. We're looking for an experienced Senior SAP Hybris Lead to join our team and lead the development and support of enterprise-scale SAP Commerce (Hybris) applications for a leading U.S. client. Role Purpose: Lead complex Hybris development tasks, act as a technical mentor, and ensure stability and scalability of our client's eCommerce platforms and Product Browse application. Key Responsibilities: - Own RCA and resolution for critical incidents and complex order-flow issues. - Design and implement hotfixes and enhancements (up to 100 hours/month). - Review code, enforce best practices, and guide junior developers. - Collaborate with SDM for governance and KPI reporting. - Ensure compliance with PCI, ADA, and security standards. - Participate in release planning and CAB meetings. - Cross-train team members on Hybris, Java, and GraphQL integrations. Required Skills: - 8+ years in SAP Commerce (Hybris) development; 2+ years in technical leadership. - Expertise in SAP hybris modules such as payment integrations, order management, cart and checkout, promotion engine. - Strong Java/J2EE, Spring MVC, OCC APIs, and SAP ECC/S4 integration experience. - Expertise in performance tuning and troubleshooting complex Hybris issues. - Familiarity with CI/CD pipelines, Git, and automated testing frameworks. - GraphQL knowledge for API-driven integrations. - Open to work US business hours + On-call for P1s (Arizona time zone) Experience: 8+ years overall, with leadership experience in Hybris projects. Location Model: Offshore with overlap for US hours. KPIs: - Defect resolution SLA compliance - Code quality metrics - Knowledge base contributions Information Security Responsibilities - Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols - Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets - Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) - Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote

• Administer and manage production SQL Server environments across Azure SQL Database, Azure SQL Managed Instance, and AWS MySQL • Author, review, and optimize T-SQL queries, stored procedures, DML statements, and schema changes • Perform query performance tuning through execution plan analysis, indexing strategies, statistics management, and operator-level diagnostics • Collaborate closely with the lead architect to evaluate and implement decisions impacting production environments • Develop and maintain a thorough understanding of production schemas, data flows, and system architecture • Support Entity Framework–based applications by analyzing generated SQL and recommending optimizations • Leverage AI tooling to enhance database operations, monitoring, and automation practices

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. This position is responsible for interfacing with internal teams to establish the strategy, targeting, and tactical marketing plan. This position is the primary interface between internal marketing organizations and external advertising agencies and will be responsible for developing creative briefs that guide the agencies in creating award-winning and effective creative. This includes the development of messaging strategies, targeting opportunities, and creative execution. Development of marketing test plans to determine the effectiveness of marketing, targeting, and creative strategies. Requires the ability to package strategies and results into professional presentations for communication to peers, superiors, and executive levels of the organization. Information Security Responsibilities - Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols - Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets - Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) - Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Experience: - Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. - Agency and/or client side marketing and/or CRM experience. - Experience and ability to manage cross-functional teams across all levels of the organization. - Experience balancing multiple priorities to meet deadlines in a dynamic environment. - Experience with Google Suite. - Experience with campaign automation tools such as Workfront, Marketo, Adobe Journey Optimizer Experience in base marketing. - Experience working with internal or external marketing or advertising agencies. - Confident verbal communication skills. - Strong organizational and project management skills. - Digital experience of trends and key business drivers. - Presented findings and insights targeted to what that audience cares about (up to the executive level). - Analyzed what’s important from a variety of sources to provide a holistic view of the marketplace, competitive factors, risks, and opportunities - Translated market knowledge and strategy into compelling stories and tools for the sales team. Education: - Bachelor’s degree in Marketing, Market Research, Master’s degree, MBA We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote

• Configure and maintain Adobe Workfront environments, including dashboards, reports, templates, request queues, custom forms, and workflows. • Implement and sustain automations, approval paths, intake processes, and governance standards aligned with defined business requirements. • Manage system administration tasks such as user setup, permissions, group management, and data governance controls. • Support environment health, configuration consistency, and ongoing instance maintenance. • Translate documented business and functional requirements into structured, scalable Workfront configurations. • Partner with architects and analysts to define workflow models, reporting hierarchies, and governance frameworks. • Document technical configurations and solution decisions for internal and client-facing documentation. • Contribute directly to billable client engagements through hands-on platform implementation and configuration support. • Assess existing client instances to identify configuration enhancements, optimization opportunities, and process improvements. • Recommend improvements based on evolving Workfront capabilities, platform updates, and best practices. • Support light automation development and integrations, including exposure to Workfront Fusion or similar tools. • Assist with data cleanup, restructuring initiatives, and performance optimization efforts. • Collaborate with cross-functional teams including marketing operations, delivery leads, developers, and solution architects to support successful implementations. • Participate in sprint planning, estimation, and agile delivery ceremonies as required. • Provide configuration quality assurance and support user acceptance testing. • Deliver user enablement materials, documentation, and technical handoffs to support long-term client success.

• Own RCA and resolution for critical incidents and complex order-flow issues • Design and implement hotfixes and enhancements (up to 100 hours/month) • Review code, enforce best practices, and guide junior developers • Collaborate with SDM for governance and KPI reporting • Ensure compliance with PCI, ADA, and security standards • Participate in release planning and CAB meetings • Cross-train team members on Hybris, Java, and GraphQL integrations

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. We're hiring Senior Software Engineers to join our AI-native engineering team. You'll design, build, and operate production AI systems - including AI platform capabilities, agentic workflow infrastructure, and LLM-powered features that serve institutional financial clients. This is a hands-on individual contributor role for engineers who are deeply fluent in AI-native development and want to work at the intersection of applied AI and backend systems engineering. Information Security Responsibilities - Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols - Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets - Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) - Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information WHAT YOU'LL DO WHAT YOU'LL DO Build and Operate AI Systems • Design, build, and ship production-quality backend services, APIs, and AI platform components used across multiple engineering teams • Build and integrate LLM-powered systems such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, prompt/tool orchestration, and model observability • Improve the reliability, scalability, observability, and operational quality of production AI systems • Build internal tools, frameworks, automation, and documentation that improve developer productivity and AI apabilities • Participate in code reviews, design reviews, debugging, incident response, and operational support Drive Technical Excellence • Contribute to technical design for complex projects, including evaluating tradeoffs and proposing pragmatic implementation plans • Partner with product, design, and engineering teams to translate platform needs into well-designed technical solutions • Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle • Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards Build with AI-Native Practices • Use agentic coding tools and LLM-assisted development as a primary part of your workflow — this is how the entire team operates • Critically evaluate AI-generated code for correctness, edge cases, and regressions — shipping quality output regardless of how it was produced • Contribute to the team's evolving practices around AI-accelerated development and testing. Preferred Preferred • Experience with document processing pipelines, structured extraction from unstructured documents, or vector stores • Familiarity with evaluation frameworks for LLM output quality (e.g., RAGAS, custom evals, human-in-the-loop review) • Background in financial services or fintech We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. #LI-Remote

• Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources. • Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency. • Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform. • Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs. • Build and maintain CI/CD pipelines for data infrastructure using tools such as dbt, Git, and orchestration frameworks (e.g., Airflow). • Leverage advanced Snowflake features — Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark — to deliver near-real-time and automated data solutions. • Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions. • Mentor junior engineers, conduct code reviews, and establish best practices for data engineering across the team.

• Architect, build, and maintain scalable ETL/ELT pipelines on the Databricks Lakehouse Platform using PySpark, Spark SQL, and Delta Lake. • Design and implement medallion (bronze/silver/gold) data architectures and enforce data quality, governance, and lineage standards. • Optimize Spark jobs and cluster configurations for performance and cost, including partitioning, caching, and autoscaling strategies. • Implement and manage Unity Catalog for access control, data governance, and cross-workspace asset sharing. • Build and orchestrate workflows using Databricks Workflows, Delta Live Tables, and CI/CD pipelines. • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into reliable data products. • Establish engineering best practices, conduct code reviews, and mentor junior data engineers. • Monitor production pipelines, troubleshoot failures, and drive root-cause analysis and continuous improvement.

• Architect and lead the implementation of an enterprise lakehouse on Databricks (Delta Lake, Unity Catalog, Photon, Workflows) across one or more major clouds (AWS, Azure, or GCP). • Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish patterns for ingestion from operational systems, event streams, and third-party APIs. • Define and enforce platform standards for data modeling (medallion architecture), CI/CD, code quality, testing, observability, and cost optimization. • Lead the governance strategy using Unity Catalog — fine-grained access control, data lineage, audit, and PII handling — in partnership with security and compliance. • Optimize Spark workloads for performance and cost: cluster sizing, Photon, autoscaling, file layout, Z-ordering, caching, and query tuning. • Partner with ML engineers and data scientists to operationalize models using MLflow, feature stores, and model serving on Databricks. • Own the cloud infrastructure footprint for the platform: networking, IAM, secrets, encryption, and Terraform/IaC for Databricks workspaces and supporting services. • Mentor a team of data engineers; lead architecture reviews, code reviews, and technical design sessions; raise the bar on engineering practices. • Engage with stakeholders across analytics, product, and finance to translate business needs into a roadmap for the data platform.