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Senior Software Engineer, AI Tools and Security at Decision Foundry. Welcome to Decision Foundry - Data Analytics Division!. We are proud to introduce ourselves as a certified "Great Place to Work," where we prioritize creating an exceptional work environment. As a global company, we embrace a diverse culture, fostering inclusivity across all levels.. Originating from a well-established 19-year web analytics company, we remain dedicated to our employee-centric approach. By valuing our team members, we aim to enhance engagement and drive collective success.. We are a leading Data Analytics & Salesforce consulting firm delivering transformative digital solutions for businesses across industries. Our expert team partners with clients to unlock the full potential of the Salesforce ecosystem, with a specialized focus on data-driven marketing, automation, and AI-powered personalization. . 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. Role summary. We are seeking a . Senior Software Engineer . for our client, who thrives at the intersection of AI, security, and developer experience. You’ll lead the technical direction of the Gateway and related services, collaborating closely with Product, Design, and Security to deliver elegant frameworks and APIs that developers love to use. This is a high-velocity, high-ownership environment: you’ll ship fast, iterate constantly, and help shape the future of secure agent-based development.. Responsibilities . Contribute to defining the technical approach for new product initiatives. Collaborate closely with Product and Design to shape features and user experience. Support and guide teammates through code reviews and technical discussions. Serve as a reliable technical voice within the team and help ensure strong engineering standards. Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability . Required . 6+ years of backend engineering experience with production-grade systems. A strong product mindset—you're excited about building developer-facing tools. Strong grasp of software engineering best practices (code review, source control, CI/CD, testing). Experience building secure, high-throughput services. Proficiency in modern programming languages (we primarily use Go). Ownership mentality with a bias for shipping, learning, and iterating. Comfortable working with autonomy across distributed, remote teams.. Strong written and verbal English communication skills. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience . Bonus . Experience with Kubernetes, and microservices architecture. Prior experience with OpenAI, Anthropic, or similar LLM APIs, and the MCP specification. Company Location: United States.