Job
Description
Overview The Software Engineering Manager will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the corner stone of scalable digital transformation across PepsiCos value chain. This leader will deliver the end-to-end software development experience, deliver high quality software as part of the DevOps process, and have accountability for our business operations. The leader in this role will be highly experienced Software Engineering Manager and hands-on with Java/Python/Azure technologies to lead the design, development and support of our Integration platform. This role is critical in shaping our integration landscape, establishing development best practices, and mentoring a world-class engineering team. This role will play a key leadership role in a product-focused, high-growth startup/enterprise environment, owning end to end integration services. Responsibilities Support and guide a team of engineers in developing and maintaining Digital Products and Applications (DPA). Oversee the comprehensive development of integration services for the Integration platform utilizing Java and Python on Azure. Design scalable, performant, and secure systems ensuring maintainability and quality. Establish code standards and best practices; conduct code reviews and technical audits. Advise on the selection of tools, libraries, and frameworks. Research emerging technologies and provide recommendations for their adoption. Uphold high standards of Integration services and performance across platforms. Foster partnerships with User Experience, Product Management, IT, Data & Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio. Create a roadmap and schedule for implementation based on business requirements and strategy. Demonstrate familiarity with AI tools and platforms such as OpenAI (GPT-3/4, Assistants API), Anthropic, or similar LLM providers. Integrate AI capabilities into applications, including AI copilots and AI agents, smart chatbots, automated data processors, and content generators. Understand prompt engineering, context handling, and AI output refinement. Lead multi-disciplinary, high-performance work teams distributed across remote locations effectively. Build, manage, develop, and mentor a team of engineers. Engage with executives throughout the company to advocate the narrative surrounding software engineering. Expand DPA capabilities through a customer-focused, services-driven digital solutions platform leveraging data and AI to deliver automated and personalized experiences. Manage and appropriately escalate delivery impediments, risks, issues, and changes associated with engineering initiatives to stakeholders. Collaborate with key business partners to recommend solutions that best meet the strategic needs of the business. Qualifications Bachelor's or master's in computer science, engineering, or related field 10-12 years of software design and development (Java, Spring Boot, Python) 810 years of Java/Python development, enterprise-grade applications expertise 35 years of microservices development and RESTful API design 35 years with cloud-native solutions (Azure preferred, AWS, Google Cloud) Strong understanding of web protocols, REST APIs, SOA 35 years as lead developer, mentoring teams, driving technical direction Proficient with relational databases (Oracle, MSSQL, MySQL) and NoSQL databases (Couchbase, MongoDB) Exposure to ADF or ADB Experience with Azure Kubernetes Service or equivalent Knowledge of event-driven architecture and message brokers (Kafka, ActiveMQ) Data integration experience across cloud and on-prem systems Deep understanding of CI/CD pipelines, DevOps automation Ability to write high-quality, secure, scalable code Experience delivering mission-critical, high-throughput systems Strong problem-solving, communication, stakeholder collaboration skills Experience in Scaled Agile (SAFe) as technical lead Knowledge of Salesforce ecosystem (Sales Cloud/CRM) is a plus
