FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and operating agentic development systems, with a strong focus on developer tooling, AI infrastructure, and engineering productivity metrics. Proficient in setting technical direction, collaborating across teams, and implementing security and privacy controls.
Highest-signal resume keywords
Agentic Coding WorkflowsCI/CD ImplementationMobile Domain ExpertiseTechnical Direction SettingSecurity and Privacy Understanding
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Systems DevelopmentSpecification ReviewTesting and DebuggingConcurrency ManagementDistributed SystemsBackend API DevelopmentAutomated TestingRisk ManagementDeveloper Productivity MeasurementAgent Access Management
Soft Skills
Clear CommunicationCollaboration with Non-Engineering PartnersAbility to Thrive in Ambiguity
Tools & Technologies
AI InfrastructureDeveloper ToolingSandboxed ExecutionEvaluation HarnessesMobile Apps
Industry Keywords
Digital HealthWearablesOpen-Source AI Projects
Tech Stack
Tools & technologiesAndroidDistributed SystemsiOS
About the role
Key responsibilities & impact- Architect and own the agentic development system across the software development lifecycle
- Set the technical direction for agent orchestration, context management, tool calling, reliability, throughput, cost, and developer experience
- Extend workflows into specification checks, test generation, automated review, CI failure triage and repair, release verification, and post-deploy signals
- Prototype workflows quickly on real tickets and harden successful approaches into production infrastructure
- Own evaluation sets, LLM-as-a-judge grading, versioning, tracing, dashboards, and engineering productivity metrics
- Design sandboxing, permissions, human checkpoints, privacy-by-design controls, and risk-based guardrails
- Lead AI-native engineering practices and raise engineering standards
- Drive adoption with engineering squads through paved paths, skills, templates, and documentation
- Partner with platform, developer productivity, security and privacy, AI infrastructure, mobile and backend teams, product, design, and engineering leadership
Requirements
What you’ll need- Experience building and operating production systems that other engineers depend on, including developer tooling, internal platforms, or AI infrastructure at scale
- Experience building and operating agentic coding workflows or autonomous loops in a real engineering organization, with adoption and measured results
- Understanding of specification, review, testing, CI/CD, release, and operations as one system
- Ability to set technical direction across teams, write designs, and make architecture and risk decisions
- Strong fundamentals in mobile domain or backend APIs, concurrency, distributed systems, testing, debugging, and reliability
- Fluency in one domain of backend, iOS, or Android, with ability to work across platforms and learn new stacks quickly
- Understanding of security, privacy, sensitive personal data, and agent access to real systems
- Ability to thrive in ambiguity and shape requirements through experimentation
- Clear communication and ability to collaborate with engineers, managers, and non-engineering partners
- Nice-to-have experience with coding agents, evaluation harnesses, sandboxed execution, developer productivity measurement, mobile apps, digital health or wearables, open-source AI projects, or mentoring
Benefits
Comp & perks- Competitive salary
- Lunch benefit
- Wellness benefit
- Flexible working hours
- An Oura ring of your own
- Wellness Time Off