Welcome to Decision Foundry! Decision Foundry, an advisory-led, premier Salesforce Data Cloud delivery partner, bridges the gap between data access, platform adoption, and business impact. As a certified ISV and award-winning Salesforce integration partner, we offer global consulting services, integrating Data Cloud, Account, Engagement, Personalization, Sales, and Service solutions. We win as an organization through our core tenets. They include: ·         One Team. One Theme. ·         We sign it. We deliver it. ·         Be Accountable and Expect Accountability. ·         Raise Your Hand or Be Willing to Extend it About the role: We are seeking an experienced Software Engineering Manager for our client, who can lead and grow a team of developers for one of its core SaaS Insurance Payments platforms. This leader will have the responsibility of transforming and modernizing Digital Payment platform under the guidance of the long-range technology strategy and team execution. Additionally, this leadership position will be looked upon to embrace, contribute, and evolve AI enabled software development methodology. This position requires excellent technical skills, outstanding leadership, and keen analytical skills paired with strong business insight and SaaS product development experience. It is a multi-functional role that requires a combination of team leadership, technical acumen, and internal stakeholder communication within a fast-growing organization. Key Responsibilities: Team Management & Leadership - As a manager, you will lead and oversee several global teams comprising of professionals, including software engineers and leverage the use of Agentic AI in the development process. Your role will involve coordinating team efforts, ensuring high-quality outputs, and fostering a collaborative environment to drive innovation, quality and efficiency. - Build a technology team that is inclusive of employees and contractors across multiple vendors and geographic regions. - Effectively manage and coordinate teams working on multiple concurrent projects, ensuring timely progress and high-quality deliverables. - Drive strategic technology initiatives by collaborating with cross-functional teams (Product Managers, Architects, Engineers, SMEs, etc.). - Work in a consultative fashion to improve communication, teamwork, and alignment across teams inside and outside the organization. - Lead design and code reviews for new product development. Software Development - Requirements Analysis - Lead and Participate in: Program Increment and Sprint planning; User Story Decomposition and Sizing; Team Member assignment of User Stories and Sprint Tasks. - Design and Development - Translate business requirements into technical designs and develop high-quality code that is both scalable and resilient. - Coding Standards - Adhere to coding principles such as SOLID and DRY while applying Secure Coding Standards. - Code Management - Manage code, including code reviews and version control. API Development - Collaborate with Enterprise Architecture to develop a microservice architecture which is inclusive of supporting transition states. - Lead the design, implementation, and maintenance of a microservice architecture. This includes developing APIs that integrate with external entities and are performant at scale. - Adopt a continuous improvement philosophy to API standards and frameworks. This is inclusive of ensuring that newly developed APIs are fully backward compatible and do not introduce breaking changes. - Lead the implementation of an API Test Automation Framework that is inclusive of Unit Testing and Performance/Load Testing. Artificial Intelligence Enablement - Contribute and evolve AI enabled software development methodology. - Guide team members in leveraging AI tools for code generation, refactoring, and documentation, ensuring alignment with secure coding standards and architectural principles. - Remain aware of emerging AI capabilities in software engineering and proactively evaluate and adopt tools that enhance team productivity and platform reliability. Collaboration & Stakeholder Engagement - Collaborate with the Security team to maintain PCI compliance of platforms. - Collaborate with Quality Assurance teams to remediate testing gaps and ensure no defects escape to production. - Influence and contribute to end-to-end product architecture and provide feedback on product strategy. Operational Excellence & Incident Management - Serve as an engineering lead for escalated client impacting events, while driving issue resolution, and long-term preventive actions. - Respond to production issues in line with SLAs, ensuring quick resolution and communication of incidents. - Troubleshoot production issues by leading engineers to implement fixes while ensuring platform stability and performance. - Provide input into long-range product requirements, best practices, and operational guidelines to improve platform reliability and serviceability.   Performance Monitoring & Engineering Standards - Create and manage Key Performance Indicators (KPIs) to continuously elevate engineering standards. - Contribute to documenting engineering best practices while ensuring consistent team adherence. - Continuously monitor platform performance metrics and proactively mitigate potential scalability issues.

• Own the overall technical architecture of the CYBRET AI platform • Make and communicate clear architectural decisions across backend, AI systems, data, and infrastructure • Ensure the platform is scalable, reliable, secure, and observable • Set engineering standards for quality, testing, and production readiness • Lead the implementation of core platform components • Ensure fast, disciplined shipping without compromising correctness or security • Balance speed and long-term maintainability in a high-growth environment • Hire, mentor, and scale a high-caliber engineering team • Build a culture of ownership, technical excellence, and accountability • Partner closely with product, AI, and security leadership • Ensure strong practices around deployment, monitoring, and incident response • Oversee cloud infrastructure, CI/CD, and operational maturity

• Lead, mentor, and grow a high-performing team of software engineers focused on compute and platform engineering • Drive architectural direction for the compute platform with an emphasis on reliability, scalability, and developer experience • Contribute hands-on to design, implementation, and optimization of core compute services (orchestration, provisioning, scaling, runtimes) • Collaborate closely with Infrastructure, Security, and Backend teams to define priorities and ensure smooth integrations • Conduct regular 1:1s, performance reviews, and technical coaching • Foster a culture of ownership, engineering excellence, and continuous improvement • Translate strategic objectives into actionable execution plans and ensure timely delivery • Influence platform evolution with pragmatic, forward-looking technical decisions • Champion best practices across software development, automation, and operational excellence

• Own technical execution and the engineering roadmap in close collaboration with product leadership • Design and build AI-powered agent systems that help teams plan, reason, and align • Write production code daily and stay deeply involved in implementation • Guide architecture decisions with security, scalability, and maintainability in mind • Design evaluation and quality practices to ensure reliable AI behavior in production • Lead the push from alpha to beta and General Availability • Establish engineering practices, workflows, and a strong technical culture • Hire and mentor engineers and help create an environment where people do their best work • Encourage thoughtful use of AI-assisted development tools across the team