Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)

SICPA; Prilly; On-site; CHF 180,000 - 260,000; Full time

Job summary

SICPA in Switzerland is seeking a Principal Engineer to drive observability, tooling, and CI/CD for our mobile SDKs (iOS, Android). You will define a multi-quarter platform roadmap for ~20 engineers, reduce operational workload, and improve release quality.

The role emphasizes hands-on architecture, mentoring, and deploying AI/ML into mobile detection stacks, with strong Swift/Xcode, Kotlin/Java, and Jenkins experience. Expect high-impact work and high security.

Qualifications

• Proven track record delivering production software.
• Experience building developer tooling / automation platforms.
• Strong iOS expertise with Swift and Xcode.
• Android fundamentals Kotlin/Java and Gradle.
• CI/CD with Jenkins.
• Architecture, API design and secure coding.
• On-device ML and production deployment.

Responsibilities

• Strengthen observability and diagnostics for SDKs and apps.
• Build tooling and automation; define platform roadmap for ~20 engineers.
• Maintain CI/CD pipelines for mobile SDKs (Jenkins).
• Develop release qualification frameworks and tests.
• Deliver core mobile SDK components (iOS, Android).
• Provide technical leadership as IC; code reviews and standards.
• Lead AI/ML integration into the mobile stack.
• AI-driven validation and triage for SDK releases.

Skills

Swift

Xcode

SDK design

Perf profiling

Objective-C

Kotlin

Java

Gradle

CameraX/Camera2

CI/CD

Jenkins

Software architecture

API design

Testing strategy

Secure coding

Computer vision

Image processing

AI/ML

ML lifecycle

On-device ML

AI usage standards

English

French

Job description

• Strengthen observability and diagnostics for SDKs and reference apps using Splunk and other tools (logs, metrics, crash signals, field diagnostics).
• Build and own engineering tooling and automation, and define a multi‑quarter platform roadmap, to measurably reduce operational workload and increase developer productivity at scale across the team (~20 engineers), while reducing integration and support effort.
• Design, implement, and maintain Continuous Integration / Continuous Delivery pipelines and quality gates (Jenkins) for mobile SDKs (build, test, packaging, release validation, regression detection).
• Develop release qualification frameworks: automated functional tests, performance benchmarks, compatibility checks, and reproducible test environments.
• Deliver and evolve core components of mobile SDKs (iOS, Android): camera capture, image processing pipelines, API design, modularization, documentation, smartphone apps.
• Provide technical leadership as an Individual Contributor (no management): architecture decisions, design reviews, mentoring through code reviews, and raising engineering standards.
• Lead the integration of AI/ML into the mobile detection stack, from rapid prototyping to production‑grade deployment on iOS/Android.
• Build an AI‑driven validation and triage layer for SDK releases, including automated regression and anomaly detection.

PROFILE

• Principal Engineer with a strong track record of delivering production software.
• Proven experience building developer tooling / automation platforms that measurably improve team productivity (e.g., faster releases, fewer regressions, reduced support load).
• Strong iOS expertise: Swift, Xcode, SDK design and packaging, performance profiling (Instruments); Objective C is a plus.
• Solid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing; ability to support and debug across both platforms.
• Strong understanding of CI/CD concepts and implementation experience with Jenkins (pipelines, build/test orchestration, quality gates, artifacts, release processes).
• Strong knowledge of software architecture, API design, testing strategy, secure coding practices, and maintaining high‑quality codebases.
• Hands‑on experience building and optimizing computer vision / image processing pipelines on mobile devices and under real‑world constraints (latency, memory, device variability).
• Strong problem‑solving skills, translating customer needs into scalable solutions.
• Hands‑on experience deploying AI/ML models to production on resource‑constrained, heterogeneous devices.
• Solid expertise in the full ML lifecycle, including data quality, evaluation, robustness, and model release management.
• Practical experience with on‑device ML toolchains and runtimes and performance engineering under real device constraints.
• Ability to define and enforce AI usage standards in an industrial environment.
• Strong communication and collaboration skills in multicultural environments; fluent English, French is a strong plus.

Job description:

ROLE

• Strengthen observability and diagnostics for SDKs and reference apps using Splunk and other tools (logs, metrics, crash signals, field diagnostics).
• Build and own engineering tooling and automation, and define a multi‑quarter platform roadmap, to measurably reduce operational workload and increase developer productivity at scale across the team (~20 engineers), while reducing integration and support effort.
• Design, implement, and maintain Continuous Integration / Continuous Delivery pipelines and quality gates (Jenkins) for mobile SDKs (build, test, packaging, release validation, regression detection).
• Develop release qualification frameworks: automated functional tests, performance benchmarks, compatibility checks, and reproducible test environments.
• Deliver and evolve core components of mobile SDKs (iOS, Android): camera capture, image processing pipelines, API design, modularization, documentation, smartphone apps.
• Provide technical leadership as an Individual Contributor (no management): architecture decisions, design reviews, mentoring through code reviews, and raising engineering standards.
• Lead the integration of AI/ML into the mobile detection stack, from rapid prototyping to production‑grade deployment on iOS/Android.
• Build an AI‑driven validation and triage layer for SDK releases, including automated regression and anomaly detection.

PROFILE

• Principal Engineer with a strong track record of delivering production software.
• Proven experience building developer tooling / automation platforms that measurably improve team productivity (e.g., faster releases, fewer regressions, reduced support load).
• Strong iOS expertise: Swift, Xcode, SDK design and packaging, performance profiling (Instruments); Objective C is a plus.
• Solid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing; ability to support and debug across both platforms.
• Strong understanding of CI/CD concepts and implementation experience with Jenkins (pipelines, build/test orchestration, quality gates, artifacts, release processes).
• Strong knowledge of software architecture, API design, testing strategy, secure coding practices, and maintaining high‑quality codebases.
• Hands‑on experience building and optimizing computer vision / image processing pipelines on mobile devices and under real‑world constraints (latency, memory, device variability).
• Strong problem‑solving skills, translating customer needs into scalable solutions.
• Hands‑on experience deploying AI/ML models to production on resource‑constrained, heterogeneous devices.
• Solid expertise in the full ML lifecycle, including data quality, evaluation, robustness, and model release management.
• Practical experience with on‑device ML toolchains and runtimes and performance engineering under real device constraints.
• Ability to define and enforce AI usage standards in an industrial environment.
• Strong communication and collaboration skills in multicultural environments; fluent English, French is a strong plus.

We offer:

WHY JOIN US?

• Join a global leader in trust technologies with a mission that matters.
• Be at the strategic heart of a financially sound and innovation‑driven company.
• Collaborate with high‑level experts and work on impactful international projects.
• Operate in a multi‑cultural, high-integrity environment where autonomy and ownership are encouraged.
  

We offer an exciting and challenging role, with great potential for personal development within a unique organization in a fascinating and fast‑growing industry. Your file will be handled with upmost confidentiality and discretion.