Senior Software Engineer

Apple Inc.; Cupertino (CA); On-site; USD 184,700 - 277,600; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking customer-facing Software Engineers to rapidly identify operational pain points, build AI-powered solutions, and deploy them in real-world environments as part of a forward-deployed engineering role.

You’ll work directly with users to understand workflows, uncover high-impact problems, and deliver practical solutions using AI, automation, APIs, and cloud tooling. Success in this role requires strong engineering ability, operational problem-solving, and

Qualifications

• BS/MS in Computer Science, Engineering, Information Systems, or a related technical field.
• 7+ years of experience in software engineering, solutions engineering, 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.

Responsibilities

• 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

Skills

Python

APIs

Infrastructure platforms

Systems integrations

GenAI APIs

AI tooling & agents

Education

BS in Computer Science, Engineering, Information Systems

MS in a related field

Tools

Docker

Kubernetes

CI/CD

Job description

Cupertino, California, United States Operations and Supply Chain

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses—including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.