Senior Software Engineer at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Aug, 26

Salary

0.0

Posted On

29 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, API Integration, LLMs, Generative AI, Prompt Engineering, System Integration, Workflow Automation, Docker, Kubernetes, CI/CD, Technical Consulting, Production Troubleshooting

Industry

Computers and Electronics Manufacturing

Description

We’re looking for customer-facing Software Engineers who can rapidly identify operational pain points, build practical AI-powered solutions, and deploy them in real-world environments as part of a forward-deployed engineering role. This role sits at the intersection of Engineering, Product, and Customer Success. You’ll work directly with users to understand workflows, uncover the highest-impact problems, and quickly deliver solutions using AI, automation, APIs, and cloud tooling. Success in this role requires strong engineering ability, operational problem-solving, communication skills, and the ability to move from ambiguity to implementation quickly. You are not just advising on solutions — you are building, deploying, and operationalizing them directly alongside customers. DESCRIPTION - Partner directly with business stakeholders, engineers, and product managers to understand operational workflows, deployment requirements, and process bottlenecks - Translate ambiguous business needs into practical, scalable technical solutions - Identify high-impact operational pain points and rapidly deliver solutions that create measurable value - Scope, design, build, and deploy AI-powered internal tools, workflow automations, and system integrations across test and production environments - Lead business implementations and deployments as a forward-deployed Software Engineer / Technical Product Manager (FDE/TPM) - Build and maintain integrations across APIs, systems, and data platforms - Troubleshoot production issues, debug live environments, and drive issues through resolution Guide user adoption, training, and iterative improvement as workflows and AI capabilities evolve Partner closely with product and engineering teams to improve platform capabilities based on real-world operational feedback Operate effectively in dynamic environments with evolving business and deployment requirements MINIMUM QUALIFICATIONS BS/MS in Computer Science, Engineering, Information Systems, or a related technical field 7+ years of experience in software engineering, solutions engineering, technical consulting, or other business-facing technical roles Strong hands-on engineering skills with Python, APIs, infrastructure platforms, and systems integrations Experience deploying, supporting, and troubleshooting production systems in enterprise environments Experience building integrations and automating workflows across multiple systems Practical experience using LLMs or GenAI APIs to create reliable workflows, automations, or internal tools Familiarity with modern AI tooling, agent frameworks, prompt engineering, and orchestration platforms PREFERRED QUALIFICATIONS Experience with AI agents, workflow orchestration systems, or enterprise automation platforms Familiarity with containerization, deployment, and infrastructure tooling such as Docker, Kubernetes, and CI/CD pipelines Ability to operate independently and lead without authority Experience working in startup or high-growth environments with rapidly evolving priorities Strong product intuition and business empathy, with the ability to influence product direction based on field feedback Strong problem-solving skills and comfort operating in ambiguous, fast-changing environments Demonstrated ability to independently drive solutions from requirements gathering through deployment and iteration Proven ability to collaborate cross-functionally across engineering, product, operations, and business teams

Responsibilities

The role involves partnering with stakeholders to identify operational pain points and building AI-powered solutions to resolve them. You will design, deploy, and operationalize internal tools and system integrations directly alongside customers.