Requirements:
6+ years of experience in web development and design
BSc. in CS, engineering, or equivalent
Deep understanding of Computer Science principles
AI Native - AI tools
High-level analytical skills
Fluent English.

Requirements:
Requirements
* B.Sc. in Computer Science, Data Engineering, or equivalent experience.
* 2–3+ years of backend development experience with real-time data processing, event-driven architectures, or streaming.
* Familiarity with microservices architecture and RESTful API design.
* Demonstrated proficiency in high-level programming languages such as Python, Node.js, and Go.
* Familiarity with AWS and cloud-based fundamentals.
* Strong problem-solving skills and a proactive, independent mindset. Advantages
* Experience with ML-based or rule-based fraud detection systems.
* Experience with data modeling or building scoring/decisioning systems.
* Solid understanding of DevOps practices and CI/CD pipelines. Talent We Are Looking For Independent & Self-Driven - Comfortable owning a domain with high-impact decisions. Analytical - Passionate about accuracy, performance, and outsmarting adversaries. Adaptable - Thrives where the challenges are constantly changing.
About the company Appdome's mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform. Our platform delivers rapid, no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration-as-code ease, Threat-Events™ threat-aware UI/UX controls, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 2 billion mobile end users projected. 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.

Requirements:
Bachelor's degree in Computer Science or equivalent practical experience.
3+ years of professional experience in backend development, with a strong track record.
Proficient in modern backend frameworks and programming languages (e.g., Java, Python, Go, Node.js - we dont expect you to know all of them but value adaptability and expertise).
Deep understanding of core programming principles, including data structures, multi-threading, object-oriented programming (OOP), and design patterns.
A quick learner, capable of mastering new concepts, technologies, and methodologies with ease.
A collaborative team player with excellent communication skills who thrives in a fast-paced environment.

Requirements:
Bachelor's degree in Computer Science or a related field
4-5 years of experience as a software engineer, with a focus on backend development
Strong understanding of scalable design principles
Experience with at least one programming language and web development technologies
Good problem-solving skills and attention to detail
Good communication skills and the ability to work well in a team environment
Strong motivation to learn and grow as a software backend engineer.

Requirements:
Bachelor's degree in Computer Science or a related field
4-5 years of experience as a software engineer, with a focus on backend development
Strong understanding of scalable design principles
Experience with at least one programming language and web development technologies
Good problem-solving skills and attention to detail
Good communication skills and the ability to work well in a team environment
Strong motivation to learn and grow as a software backend engineer.

Requirements:
4+ years of industry experience in a production web environment, including monitoring and performance tuning.
3+ years of experience with Python/Node/Go/Ruby in a Linux environment.
Experience with complex cloud architectures with asynchronous communication.
Experience working with both relational and non‑relational databases.
Experience with monitoring and visualization tools.
Experience with Kubernetes (advantage).
Experience with prompt engineering or working with LLM-based systems (preferred).
A real passion for solving problems and delivering value.
The ability to write clean code, as well as continuously refactor and improve existing code.
The ability to work well autonomously and as part of a team.
Effective written and verbal English communication skills.

Requirements:
5+ years of building SaaS applications, preferably in a service-oriented architecture
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Expertise in modern web development frameworks, C#, Java, or equivalent.
Experience in writing optimized SQL and working against various different datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.

Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
7+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.

Requirements:
Strong proficiency in C/C++, with a focus on performance and reliability.
BSc/MSc in Computer Science or an equivalent field.
Experience in Linux development (advantage).
Networking experience (advantage).
Familiarity with security principles and practices.
Problem-solving skills and the ability to work on complex systems.
Team player with excellent communication skills.
Nice to Have:
Experience with scripting languages like Python or Bash for automation.
Familiarity with open-source frameworks and tools commonly used in security applications.
Knowledge of network protocols or cryptographic libraries.

Requirements:
Proven Backend Expertise: 5+ years of professional experience, with astrong foundation in building and maintaining robust backend systems for large-scale consumer or enterprise products.
Technical Mastery: Advanced proficiency in at least one modern backend language (TypeScript and Node.js), with hands-on experience developing production-grade APIs and microservices. Experience with Lambda functions is a big plus.
Scalable Systems Builder: Demonstrated experience architecting and delivering high-availability services and distributed systems, leveraging patterns for reliability, performance, and security.
Cloud-Native Engineering: Deep familiarity with cloud platforms (AWS, GCP, or Azure), including hands-on experience with serverless technologies (e.g., AWS Lambda), infrastructure-as-code, and automated deployment pipelines.
Data Fluency: Solid experience with both SQL and NoSQL databases; knowledge of vector databases and embedding/search technologies is a big plus.
AI Platform Integration: Experience integrating with modern AI services (OpenAI, Hugging Face, etc.), and enthusiasm for collaborating with ML/AI specialists to bring LLMs, RAG, and conversational AI capabilities into production.
Results-Oriented Delivery: A track record of shipping consumer-facing features at scale, collaborating closely with both product and engineering teams.
Forward-Thinking Problem Solver: Eager to explore new technologies, solving complex problems using both solid engineering fundamentals and innovative approaches.