This role focuses on owning scoped feature or model delivery through collaborative engineering teams, managing implementation, iteration, testing, and ongoing support for assigned services, APIs, user interfaces, or ML model components. The engineer will operate with a product-driven mindset, aligning outcomes with broader platform, system, and domain objectives. Key responsibilities include writing clean, efficient, and reliable code in various languages, driving the full software development lifecycle (CI/CD, automated testing, observability, monitoring, maintenance), and building automation scripts. The role also involves integrating AI agents and ML components, leveraging GenAI tools, and applying object-oriented programming principles. The engineer will assist in converting high-level designs into detailed designs, evaluate trade-offs for scalable and secure systems, and participate in design reviews. Additionally, the role requires engaging stakeholders to define problems, translating pain points into technical requirements, and defining success metrics. DevOps responsibilities include conducting maintenance, monitoring application performance, and ensuring adherence to project milestones. The position promotes engineering excellence, technical ownership, sound technical judgment, adaptability, and collaboration. It also involves providing supervision and development opportunities for associates, ensuring compliance with company policies, and fostering a culture of respect, integrity, and a focus on serving customers and striving for excellence.
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Job Type
Full-time
Career Level
Senior
Number of Employees
1-10 employees