Role Description Responsible for providing technical pre-sales solutioning support to the sales team. Works within the IT Solution Development team of the IT Client Engagement group. Qualifications - A thorough understanding of costing and pricing contact center technologies. - Excellent technical presentation skills, both remote and face-to-face. - Ability to manage difficult or emotional customer situations. - Strong listening skills and ability to attain clarification. - Demonstrates group presentation skills and participates in meetings. - Understands business implications of decisions and aligns work with strategic goals. - Identifies and resolves problems in a timely manner. - Assesses own strengths and weaknesses and pursues training and self-development opportunities. - Balances team and individual responsibilities and supports everyone's efforts to succeed. - Treats people with respect and upholds organizational values. Requirements - Provide Technical Pre-Sales Solution Support. - Assist in Closing New Business & Provide Solutions Support for Existing Business. - Participate and lead internal and external presentations to C-level clients, technologists, and business partners. - Design creative, well-thought out recommendations to improve technical capabilities. - Contribute to sales team effort to ensure timely and successful closing of sales. - Assess existing client environments and provide consultative conversations. - Carry the initial estimated solution costs through the company’s pricing process. - Provide technical support during the pre-sales process to prospects. - Become the main point of contact for clients' technical questions pre-sales. - Work in conjunction with Sales, Development, Technical Support, Client Technology Managers, Business Analysts and Product Management. - Contribute knowledge and experience to technical documentation. Company Description At Alorica, we only do one thing – make lives better, one interaction at a time. We’re a global leader in customer service and experience, serving the world’s biggest brands with tens of thousands of employees in hundreds of locations around the globe. - The largest minority-owned CX provider. - Delivering digital-first, people-centered experiences for some of the world's most respected brands. - Helping businesses solve their toughest customer experience challenges for over 25 years. - A Top Place to Work, serious about creating an environment where people show up as their genuine selves.

Role Description We are establishing the role of Quality Automation Architect to lead the modernization of our software quality management practices, tooling, and mindset. As a payment processor and licensed money transmitter, PayNearMe operates in a regulated, high-stakes environment with a high bar for quality. We're investing heavily in agentic AI workflows that will substantially accelerate how quickly we produce code — and we need our ability to validate that code to scale at the same pace. Your primary objective will be to drive our transformation to a fully automated test suite and deployment pipeline while maintaining our current extremely high quality metrics. - Define and lead the technical approach for modernizing software quality across our engineering organization, evolving from QA-as-gatekeeper toward a shared ownership model. - Assess our current QA processes, test automation, manual testing practices, release validation, and tooling, then develop a practical roadmap for reaching successive levels of maturity. - Propose and implement tooling, workflows and practices for building quality into the agentic SDLC. - Establish a long-term vision for quality management that reduces handoffs and allows development pods to operate with autonomy. - Partner closely with proddev leadership, SGRC, QA, and performance testing teams to align quality management practices with business risk, regulatory needs, and delivery goals. - Define, track, and report the metrics that will shape decisions, such as coverage and defect escape rates. Test Architecture & Automation - Define a modern test pyramid with clear definitions, ownership, and goals for unit, integration, contract, end-to-end, exploratory, and production validation layers, along with specialized considerations such as performance and security. - Improve the reliability, speed, maintainability, and signal quality of our automated test suites; guide appropriate use of existing tools while identifying opportunities to improve, replace, or supplement them. - Develop strategies for test data management (seed, synthetic, and production-like sets), environment reliability, contract testing, service virtualization, synthetic monitoring, and automated smoke testing. - Identify opportunities to leverage agentic AI in test generation & scenario discovery, and design workflows and skills for multi-agent analysis of generated code. Release Readiness - Design quality gates that are risk-based, automated where possible, and integrated into CI/CD pipelines. - Improve sandbox and production smoke testing so that post-deploy validation becomes faster, more automated, and more reliable, supporting a fast-rollback strategy when needed. - Collaborate with teams to define what “ready to release” means for different types of changes, services, and risk profiles. Mentorship and Change Leadership - Provide technical mentorship to QA engineers, software engineers, and engineering leads. - Teach modern quality engineering practices through pairing, workshops, documentation, architecture reviews, and hands-on examples. - Build buy-in and drive change across teams by showing practical improvements rather than imposing abstract process changes. - Help cultivate a culture where quality is owned broadly by engineering, supported by QA expertise, and embedded throughout the delivery lifecycle. - Approach change with empathy, especially for team members whose current roles and responsibilities will evolve. Success in This Role - Fully automated quality regression and smoke tests that allow for high confidence releases. - North star: A green build is safe to deploy. - Clearer testing standards across application, service, API, and event-driven boundaries. - Implement state of the art AI based toolchains to constantly improve confidence in releases, with fewer escaped defects. Qualifications - 7+ years of hands-on experience in a software development organization, ideally with a significant emphasis on quality management. Our current stack includes Ruby and Go codebases, and direct experience with one of these (preferably both) is a significant benefit. - Significant experience with agentic software development workflows, skill development, prompt engineering, and supporting tools. - Excellent communication skills; ability to build consensus and influence across teams, considering multiple perspectives and developing solutions that balance them effectively. - Commitment to data-driven decision making — able to develop and test hypotheses effectively, continually adjusting strategy as a result of new information; defining, tracking, and reporting on clear KPIs/OKRs. - Experience leading transformational projects and managing change well, ideally in sensitive, high-complexity environments with significant compliance or regulatory obligations. Benefits - Competitive salary and benefits with growth-company options grant. - 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.

• Analyze, design and develop enterprise solutions for system integration • Participate in defining architecture and governance for integration projects • Develop integration projects between systems • Produce technical documentation for integration projects and solutions • Work with partners to design integration solutions across all systems in the ecosystem • Collaborate with IT and Business teams to support integration implementation • Work alongside the Center of Excellence to define corporate reference architecture and standards

• Lead the design, implementation, optimization, and governance of enterprise data platform • Ensure scalable, secure, and high-performing data solutions supporting business intelligence, reporting, analytics, data science, and AI-driven initiatives • Design, implement, and optimize high-performance data architectures on the Snowflake cloud data platform • Develop robust logical and physical data models, optimizing query performance and resource utilization • Design, build, and optimize scalable data ingestion and transformation pipelines utilizing Snowpipe, dbt, Matillion, Informatica, or similar technologies • Manage key Snowflake administration tasks, including user/role management, role-based access controls (RBAC), network policies, disaster recovery through account replication, and deployment pipelines • Optimize Snowflake performance through virtual warehouse sizing, query tuning, clustering keys, materialized views, resource monitors, Tasks, Time Travel, Zero-Copy Cloning, and Secure Data Sharing • Maintain comprehensive architecture documentation, data flow diagrams, and data lineage to support SOC2 compliance, governance standards, and audit requirements • Leverage Snowflake Cortex Analyst, Snowpark, and other advanced Snowflake capabilities to enable AI-driven analytics, self-service insights, and advanced use cases • Collaborate with Business Intelligence, Reporting, Data Science, and Engineering teams to develop scalable, secure, and cost-effective data solutions • Provide technical leadership, mentor team members, establish best practices, lead proof-of-concept initiatives, and support enterprise data strategy and architecture decisions • Monitor and optimize Snowflake workloads and spending to ensure efficient resource utilization and predictable costs