Appdome

Description Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles. Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics. About the Role  We're growing our Data team and looking for a Data Engineer who lives and breathes data. At Appdome, data moves fast and at scale: trillions of live threat events feeding real-time detection, risk scoring, and response. This role is about designing data so it stays fast under heavy volume: the right architecture, models, and storage choices to keep latency low and throughput high. You'll own data systems end to end, from ingest to serving, and have real influence over how we build. What You’ll Do  • Design, build, and maintain scalable, low-latency data pipelines, ETL/ELT, and infrastructure. • Architect data models, schemas, and storage layouts optimized for fast retrieval at large volume. • Build real-time / event-driven ingestion and processing for high-throughput threat and risk data. • Optimize SQL and NoSQL databases - query tuning, indexing, partitioning, cost/performance tradeoffs. • Work with big-data volumes across pipelines, data lakes, and warehouse / lakehouse layers, using Spark for large-scale processing and enrichment. • Own data observability - pipeline health, freshness, and quality. • Collaborate with software engineers, security experts, and data scientists to integrate data into Appdome's products. Requirements • B.Sc. in Computer Science, Data Engineering, or a related field. • 3+ years hands-on with large-scale data infrastructure. • Strong Python (including Pandas). • Deep SQL and NoSQL knowledge, with real performance-optimization experience. • Proven experience with real-time/low-latency systems, and the data architecture and modeling instincts that make them fast. • Comfort with big-data volumes, pipelines, and data lakes. • Experience with streaming / event-driven design (e.g., Kafka). • Spark / PySpark for large-scale processing, or a strong adjacent big-data background. • Strong problem-solving skills and a proactive, independent mindset. Advantages  • Experience with ClickHouse. • Data warehousing and lakehouse / open table formats (e.g., Apache Iceberg). • Vector databases and embeddings - storing and serving them to support AI and data-science features (e.g., pgvector). • Strong system design and data architecture sense - knows how to build the data model the right way. • Experience using AI-assisted development tools (e.g., Cursor, Claude Code) in day-to-day work. • Experience with security, fraud, or other high-volume telemetry data. • Comfort with containerized infrastructure (Docker, basic Kubernetes) and light DevOps (CI/CD, Git). • ElasticSearch, Redis, DynamoDB, or Metabase. Who you are  • Independent and self-driven - comfortable owning systems end to end. • Growth-oriented - eager to develop and take on more over time. • Collaborative - communicates well across engineering, security, and data science. • Adaptable - thrives in a fast-paced environment with a can-do attitude.

Description Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles. Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics. About the Role We are seeking a hands-on DevOps Engineer to build, operate, secure, and scale our cloud-native, multi-tenant SaaS platform. The ideal candidate has deep production AWS and Amazon EKS experience, strong CI/CD and automation skills, and thrives in a fast-paced startup environment. Key Responsibilities • Own production AWS infrastructure, including EKS, EC2, VPC, ALB/NLB, Route 53, S3, RDS, ElastiCache, IAM, CloudWatch, WAF, and related services. • Operate and troubleshoot EKS clusters, Kubernetes workloads, networking, autoscaling, upgrades, and Helm deployments. • Build and maintain reliable CI/CD pipelines using Jenkins and GitLab across development, staging, and production. • Automate infrastructure provisioning and configuration using Terraform, Python, Bash, and infrastructure-as-code practices. • Maintain monitoring, logging, alerting, and incident-response processes; participate in on-call production support. • Improve platform reliability, availability, security, performance, scalability, and AWS cost efficiency. • Implement cloud security controls, IAM least privilege, secrets management, patching, backup, and disaster recovery. • Collaborate with developers to improve release automation, deployment safety, and operational processes. Requirements • At least 3-5 years of hands-on DevOps, cloud infrastructure, or site reliability engineering experience, ideally in a startup or fast-growing SaaS company. • Strong production experience with AWS and Amazon EKS/Kubernetes, Docker, Helm, and Linux. • Proven experience with both Jenkins and GitLab CI/CD, plus Terraform infrastructure as code. • Solid AWS networking knowledge: VPCs, subnets, routing, security groups, load balancers, and DNS. • Experience with monitoring and troubleshooting distributed production services; scripting with Python or Bash. • Ability to independently own infrastructure, resolve incidents, and support a high-availability multi-tenant SaaS platform. Nice to Have • Experience with Microsoft Azure or Google Cloud Platform (GCP). • Multi-region deployments, Kafka, PostgreSQL, Redis, or advanced AWS networking. • GitOps, FinOps, DevSecOps, and SOC 2 / ISO 27001 compliance experience. What We Value • Ownership, practical problem-solving, an automation-first mindset, strong collaboration, and the ability to balance rapid delivery with production stability and security.

Description Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles. Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.  About the Role We’re looking for a Software Engineer to join our Internal Platforms team at Appdome. Our team builds and maintains the internal tools and services that empower Appdome’s R&D to deliver faster, safer, and more scalable products. You’ll contribute to evolving our SaaS platform into a distributed, microservices-based system that runs on Kubernetes and Docker in AWS. The team is building AI-powered tools that transform testing and engineering workflows through intelligent test generation and self-healing automation. You’ll design, develop, and maintain backend components, pipelines, and automation tools that streamline engineering workflows, reduce friction, and improve system reliability across Appdome’s CI/CD ecosystem. Responsibilities • Design and implement core backend and platform components. • Develop microservices and automation tools that enhance delivery speed and improve the developer experience. • Build and optimize Docker/K8s-based pipelines and environments. • Integrate Appdome products and infrastructure with CI/CD and DevOps vendors. • Work with QA and R&D engineers to define best practices for testing, automation, and observability. • Own deployment automation and scaling for critical internal services. • Troubleshoot complex system issues in a fast-moving environment. Requirements • BSc in Computer Science or equivalent. • 2+ years of experience developing backend systems in Python or Java • Hands-on experience with Kubernetes, Docker, and automated deployment pipelines. • Strong understanding of microservice architecture and distributed systems. • Experience integrating or working with AI tools in testing (e.g., GPT-based validation, test generation, or self-healing). • Excellent problem-solving and collaboration skills. • Self-motivated and eager to learn new technologies. Advantages  • Experience with AWS or other cloud platforms. • Experience building internal developer tools or CI/CD frameworks. • Knowledge of mobile security or DevSecOps pipelines.

Description Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles. Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics. About the Role We are looking for a talented Software Engineer at Appdome. You will take part in developing our core product infrastructure. The challenge is to design and develop complex security components that can be integrated in a generic and flexible way for Android & iOS 3rd party applications.The code is developed with C/C++, Python, Java, and Objective C. Responsibilities • Creatively developing, designing, and delivering new infrastructures and security features. • Improving, testing, and debugging our current infrastructure according to customers' needs. • Continuously learn and evaluate new technologies in the everlasting effort to perfect our product. Requirements • BS.c in Computer Science / Electrical Engineering / Computer Engineering • At least 3 years of development experience in a development team of complex enterprise systems. • At least 2 years of experience in C/C++ programming • Experience in multi-threading principles and programming. • Experience in Python, Java, Linux, and Git. • Great team player who knows when and how to push independently when needed. • Strong communication skills. • Experience in native mobile application development in Android or iOS. • Experience Objective-C programming • Experience in NDK and JNI for Android. • Experience with SDK development or integration Advantages. • Experience in reverse engineering in Android. • Knowledge in Cyber Security and Networking.

Description Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles. Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics. About the Role  We are looking for a talented Software Engineer to join Appdome's Identity Group. You will take part in building advanced fraud detection capabilities, working closely with security researchers and data teams to develop cutting-edge solutions that protect hundreds of millions of mobile devices. Responsibilities  • Design and develop core components of fraud detection systems from early prototyping through production-ready releases. • Build scalable backend services and distributed systems that process data at scale. • Work with large-scale datasets and collaborate with data teams to create actionable signals and features. • Write high-performance, production-quality code in C and C++ optimized for reliability and performance. • Take ideas from rapid proof-of-concept through to production, tackling complex engineering challenges across the full development lifecycle. Requirements • B.Sc. in Computer Science, Software Engineering, or equivalent. • At least 2 years of experience developing complex enterprise systems. • Experience in C/C++ programming. • Experience in Python, Java, Linux, and Git. • Strong focus on performance, scalability, and reliability in distributed systems. • Comfortable working with large datasets and collaborating with data science and research teams. • Team player with strong collaboration and communication skills. • Quick learner with ability to adapt to new tools, methods, and frameworks. Preferred Qualifications • Background in fraud prevention, cybersecurity, or security analytics. • Background in mobile app research or development (Android/iOS). • Experience with machine learning or data science. • Experience building high-throughput data processing systems. • Understanding of threat landscapes and attack vectors.

Description Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles. Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics. Description We are looking for a Mobile Security Researcher to join our Research Team. As our Security Researcher, your primary focus will be on the inner workings of iOS and Android operating systems. You'll dive into codebases, analyze security mechanisms, and identify potential vulnerabilities. In addition, you'll work collaboratively with the team to develop protective strategies and contribute to ongoing innovations in mobile app security. This role requires a keen analytical mind, a passion for research, and a drive for continuous improvement in the mobile security domain. Join us in shaping secure solutions for the future of mobile apps. What will you do? • Research and implement security mechanisms for Android and iOS platforms, driving the full cycle from low-level platform analysis to hands-on feature development. • Conduct reverse engineering on a wide variety of devices running iOS/Android to gain deeper insights into their system. • Keep up to date with emerging trends in mobile application security and research methods to ensure that customers are protected. • Work with a talented security team where you'll learn and grow every day. Requirements • At least 2 years of experience in reverse engineering of large systems/OS, preferably with IDA • At least 2 years of experience in C/C++ programming • OS Internals/Low Level/Kernel experience • Eager to take on challenging tasks • Curious and quick to learn on your own • Team player with good interpersonal skills Advantages:  • Experience in vulnerability research • Familiarity with assembly and ARM instruction set • Mobile apps development experience • Low-Level experience in iOS or Android

Description Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles. Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics. About the Role We are looking for a talented, passionate Offensive Researcher to join our innovative research team. If you’re eager to explore cutting-edge mobile security techniques and help safeguard the mobile app ecosystem, this is the role for you! As a key player in our security team, you'll design and execute sophisticated attack simulations on the Appdome platform. Your work will touch on diverse attack vectors, including file systems, networks, jailbreaks, memory injections, and more. Requirements • 1-3 years of experience in Offensive Security/Cyber. • Extended knowledge in researching, simulating, and analyzing different application attack vectors. • Advantage – Experience using a hacking framework or pen-testing tools such as Frida, Magisk, Multiproxy, and Cheat Engine. • Ability to create analysis plans and execute them, as well as document and troubleshoot errors. • Ability to understand the system from multiple perspectives, including high-level and low-level technical architecture. • Experience in Mobile (iOS/Android) analysis environments and automation tools. • Bachelor’s degree in a relevant field. • Software development and scripting experience.