intive

Solutions Engineer

• Integrate vulnerability fixes published in the monthly Android security bulletin (“ASB”), Qualcomm security bulletins (“QSB”), and Qualcomm releases (“AMSS upgrades”), and submit to quality assurance team (“QA”) for testing.
• Debug and isolate patches causing regressions reported by QA on the security, master, and release branches.
• Track integration time per each ASB for two products and target integration complete within ten calendar days of ASB preview published date.
• Project tools written in python may require some enhancements in the future

Security Integration Engineer

Backend Engineer

• Develop scalable apps using Kotlin and Jetpack Compose
• Propose new ideas, perform feasibility analysis, and scope work
• Collaborate with frontend developers, designers (Figma), and backend engineers to deliver high-quality mobile experiences
• Ensure high code quality through unit testing, code reviews, and documentation
• Maintain and improve our CI/CD pipeline for mobile apps
• Work in an Agile team using Jira, Slack, GitHub, and BitBucket

Kotlin Multiplatform Developer

DevOps Engineer

• Strives for continuous deployment of both applications and infrastructure on cloud platforms
• Maintain and support existing deployments of in-house and 3rd party services on existing Cloud infrastructure, including upgrades and migration
• Builds, maintains and configures the tools and scripts of our automated deployment pipelines
• Participates actively in discussions with peers to identify issues and continually improve the overall system for everyone
• Works with internal teams and third parties to ensure all our tools and platforms are meeting service level objectives
• Monitor systems and identify performance issues proactively
• Support NFR activities, including security hardening, load and performance testing
• Elevate and manage incidents appropriately, ensuring root cause analysis and remediation
• Act as an enabler for innovation in new tools, technologies, processes and techniques

Senior AWS DevOps Engineer

Machine Learning Engineer

• Designing, developing, and maintaining end-to-end machine learning solutions — from data ingestion and feature engineering to training, evaluation, and production deployment.
• Building scalable ML infrastructure and data pipelines to support real-time and batch inference at scale.
• Collaborating with product managers, data scientists, and software engineers to integrate ML models into customer-facing applications.
• Applying best practices in MLOps to ensure reliability, reproducibility, and monitoring of ML systems in production.
• Leveraging cloud platforms (primarily AWS) and IaC tools (e.g. Terraform) to deploy and manage ML infrastructure.
• Working with modern ML tooling such as feature stores, model registries, orchestration frameworks (e.g. Airflow), and vector databases.
• Exploring and applying advanced techniques including LLMs, embeddings, and recommendation systems to solve real-world business problems.
• Mentoring team members and contributing to the improvement of engineering and ML practices across the organization.

Security Integration Engineer

Kotlin Multiplatform Developer

Senior AWS DevOps Engineer

Senior Machine Learning Engineer