Full-Time

Java MS Developer

Photon

Photon

Global AI and digital solutions provider

Compensation Overview

$50k - $175k/yr

+ Variable pay / incentives

Bellevue, WA, USA

In Person

Category
Software Engineering (1)

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Requirements
  • Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
  • Experience: 3+ years of Java API development experience.
  • Experience: 2+ years of experience with machine learning model integration.
  • Technical Expertise: Proficient in Java, Spring Boot, and API design principles.
  • Technical Expertise: Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Technical Expertise: Familiarity with data processing libraries such as Pandas, NumPy, or Apache Spark.
  • Technical Expertise: Knowledge of authentication mechanisms (e.g., OAuth 2.0, JWT, SAML).
  • Technical Expertise: Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
  • Technical Expertise: Strong understanding of REST, GraphQL, and microservices architecture.
  • Technical Expertise: Proficiency in relational and NoSQL databases.
  • Technical Expertise: Experience with Git, Jenkins, or similar CI/CD tools.
  • Soft Skills: Strong analytical and problem-solving skills.
  • Soft Skills: Excellent communication and teamwork abilities.
  • Soft Skills: Ability to work in a fast-paced and dynamic environment.
Responsibilities
  • Design, develop, and maintain RESTful and GraphQL APIs using Java frameworks (Spring Boot, Hibernate, etc.).
  • Ensure APIs are scalable, secure, and performant.
  • Implement API versioning and robust error handling.
  • Collaborate with data scientists to integrate ML models into APIs.
  • Optimize ML model inference performance for real-time and batch processing.
  • Implement model monitoring and logging to track performance in production.
  • Develop and maintain microservices architecture.
  • Integrate APIs with relational (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Cassandra).
  • Implement caching mechanisms (e.g., Redis) to improve performance.
  • Build pipelines to deploy ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Develop features for model re-training, data preprocessing, and version control.
  • Write unit and integration tests using JUnit, Mockito, or similar frameworks.
  • Document API specifications using Swagger/OpenAPI.
  • Create comprehensive technical documentation for ML model integration.
  • Work closely with cross-functional teams, including product managers, data engineers, and ML specialists.
  • Participate in code reviews, sprint planning, and agile ceremonies.
  • Deploy APIs and ML models using Docker, Kubernetes, and CI/CD pipelines.
  • Monitor system health and optimize for scalability and reliability.

Photon helps large enterprises accelerate AI adoption and digital growth. It delivers AI management, digital innovation, product design thinking, and engineering to implement and run AI solutions, scale products and experiences, and improve operations. By serving thousands of employees across many countries and working with a sizable portion of the Fortune 100, Photon combines global delivery with a broad skill set to handle billions of daily touchpoints. Its goal is to keep clients agile and future-ready by expanding AI capabilities and digital initiatives across industries.

Company Size

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Company Stage

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Total Funding

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Headquarters

London, United Kingdom

Founded

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Simplify Jobs

Simplify's Take

What believers are saying

  • Generative AI boosts Photon's UX/UI prototyping for Fortune 100 clients.
  • Omnichannel MarTech consolidation expands Photon's Salesforce integrations.
  • AI personalization aligns with Photon's data-driven 1 billion interactions.

What critics are saying

  • Salesforce Einstein GPT undercuts Photon's integrations for Fortune 100 clients.
  • Accenture's Navisite acquisition steals 40% of Photon's Fortune 100 clients.
  • TCS launches rival Digital HyperExpansion in Q1 2026, undercutting pricing.

What makes Photon unique

  • Photon manages 1 billion daily customer interactions via Digital HyperExpansion.
  • Photon deploys 7,500 digital engineers for Fortune 100 infrastructure modernization.
  • Photon excels in vertical-specific consulting for financial services and healthcare.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Paid Holidays

Performance Bonus

Company News

AiThority
Mar 23rd, 2026
Exein unveils next-generation runtime security to protect the ai-native world.

Exein unveils next-generation runtime security to protect the ai-native world. * Photon blocks cyberattacks before execution across physical AI and IoT, autonomous AI agents and cloud and edge infrastructure * Kernel-level prevention sets a new standard beyond traditional user-space detection * Builds on Exein's position as the world's largest runtime security provider, protecting over two billion devices Mar 23, 2026 Prev Next 1 of 42,872 Exein, the global leader in runtime cybersecurity, unveiled Photon, a preemptive breakthrough solution that blocks cyberattacks at the point of execution. Designed for the AI-native world - where digital and physical systems are now inseparable - Photon marks a fundamental shift in how critical infrastructure protects itself. Unlike traditional cybersecurity solutions that detect threats after compromise - typically operating in user space and relying on a cloud network - Exein's Photon operates directly inside the kernel, preventing malicious execution paths before they can run. By blocking attacks before the point of execution, the technology dramatically reduces latency and eliminates entire classes of threats before damage occurs. If malicious instructions cannot execute, the attack itself cannot take place. This advancement establishes a new category of runtime security designed for systems that cannot be disconnected: physical AI and IoT environments, autonomous AI agents, and local hybrid cloud and edge infrastructure. In these environments, from industrial robotics and critical infrastructure to AI-driven platforms, downtime is not an option, and protection must be more precise and granular, blocking malicious threats without shutting down the entire process. The announcement at the RSA Conference (RSAC) comes as cyber threats increasingly target physical systems. Last month, the Munich Security Report 2026 warned that cyber operations are now engineered to cause real-world disruption, accelerating regulatory intervention after voluntary measures failed to address systemic vulnerabilities. At the same time, the speed of attacks is accelerating dramatically: recent threat intelligence shows average attacker 'breakout times' fell to just 29 minutes in 2025, 65% faster than the previous year, driven in part by AI-assisted automation. Protecting the digital and physical in the AI era Artificial intelligence is already capable of identifying vulnerabilities in software and infrastructure. In the near future, these models will not only detect weaknesses but exploit them autonomously to launch attacks at machine speed. As the scale and sophistication of these attacks grow, traditional runtime security systems that rely on detection alone will no longer be sufficient. Photon introduces a new model of preemptive runtime security designed for this AI-driven environment. Rather than detecting attacks after they begin, it prevents malicious execution paths from running in the first place, blocking threats in real time before they can impact the system. Unlike conventional security tools that operate in user space alongside the applications they protect, Photon operates directly within the kernel, the core of the operating system. By enforcing protection at this foundational layer, rather than merely detecting and stopping attacks, it prevents them from executing in the first place - all in real time. This marks a major milestone as physical and digital systems converge, positioning Photon as a new reference architecture for securing physical AI, agent AI and cloud and hybrid infrastructure. Gianni Cuozzo, Founder and CEO of Exein, said: "In a future where the world is infinitely connected with humanoid robots walking among Aithority, local LLMs powering intelligent edges, autonomous drones reshaping mobility, and billions of new autonomous systems bridging the digital and physical realms, preemptive runtime security represents the new generation of protection, built into the very DNA of every device from the ground up. "Exein was born to make this vision a reality: transforming every connected device into a fortress of security, forging the largest decentralised immune system for digital life - cross-vendor, cross-platform, and cross-system. We stand as the first line of defence between the boundless digital world and the physical one we live in, empowering manufacturers to build inherently safe innovations and already safeguarding over 2 billion devices worldwide."