AI Enginner

Key Responsibilities :

● Define, design, and implement enterprise-grade solutions using the Microsoft stack

(.NET Core, C#, ASP.NET, Azure, SQL Server, etc.).

● Own end-to-end solution architecture including application, integration, data, and

infrastructure layers.

● Ensure solutions meet non-functional requirements including scalability, performance,

security, and reliability.

● Partner with the CTO to define and evolve the enterprise technology roadmap.

● Evaluate emerging technologies, frameworks, and tools within the Microsoft ecosystem

and recommend adoption strategies.

● Establish architectural best practices, coding standards, and guidelines for engineering

teams.

● Work closely with product, business, and engineering teams to translate requirements

into architectural blueprints.

● Mentor development teams, conduct technical reviews, and ensure architectural

compliance.

● Collaborate with external technology partners and vendors as required.

● Oversee solution implementation to ensure adherence to architecture and design

principles.

● Provide thought leadership on DevOps, CI/CD pipelines, cloud adoption (preferably

Azure), and modern software engineering practices.

● Conduct risk assessment, impact analysis, and ensure compliance with

regulatory/security standards.

Required Skills & Qualifications :

● 10–15 years of IT experience, with at least 5 years in architecture or senior technical

leadership roles.

● Strong expertise in .NET Core, C#, ASP.NET, Web API, MVC, Entity Framework.

● Proficiency in Azure cloud services (App Services, Functions, Service Bus, Cosmos DB,

Azure SQL, Storage, etc.).

● Hands-on experience with microservices architecture, containerization (Docker,

Kubernetes), RESTful APIs, and event-driven systems.

● Deep understanding of relational (SQL Server) and NoSQL databases.

● Exposure to DevOps practices, CI/CD pipelines, Git, Azure DevOps/Jenkins.

● Proven track record of designing scalable, secure, and mission-critical enterprise

applications.

● Excellent problem-solving, communication, and stakeholder management skills.

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

Key Responsibilities:

² Develop and maintain responsive web applications using React.

² Collaborate with UX/UI designers to translate wireframes and mockups into functional code.

² Optimize applications for maximum speed and scalability.

² Write clean, maintainable, and efficient code following best practices.

² Participate in code reviews and contribute to team knowledge sharing.

² Troubleshoot and debug applications to enhance performance.

² Stay up-to-date with the latest industry trends and technologies to ensure our tech stack remains cutting-edge.

Qualifications:

² Current SDE 3 designation or equivalent experience in a senior development role.

² 5+ years of experience in software development, with a strong focus on frontend technologies, particularly React.

² Proficiency in JavaScript (ES6+), HTML, and CSS, with a deep understanding of modern web development practices.

² Experience with state management libraries (e.g., Redux, MobX) and routing solutions.

² Strong knowledge of RESTful APIs and experience with modern build tools (Webpack, Babel).

² Experience with testing frameworks (e.g., Jest, React Testing Library) and test-driven development (TDD).

² Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Job responsibilities

• Performs development, deployment, administration, management, configuration, testing, and integration tasks related to the cloud security platforms.
• Develops automated security and compliance capabilities in support of DevOps processes in a large-scale computing environment for the storage program within the firm.
• Champions a DevOps security model so that security is automated and elastic across all platforms and cultivate a cloud first mindset in transitioning workloads.
• Leverages DevOps tools to build, harden, maintain, and instrument a comprehensive security orchestration platform for infrastructure as code.
• Provides support to drive the maturity of the Cybersecurity software development lifecycle and develop & improve the quality of technical engineering documentation.
• Makes decisions of a global, strategic nature by analyzing complex data systems and incorporating knowledge of other lines of business & JPMC standards.
• Provides quality control of engineering deliverables, technical consultation to product management and technical interface between development and operations teams.

Required qualifications, capabilities, and skills

• Formal training or certification on Security engineering and 3+ years applied experience
• Proficiency in programming languages like Python or Java with strong coding skills
• Understanding of one or more Public Cloud platforms( AWS/ GCP/ Azure)
• Experience with highly scalable systems, release management, software configuration, design, development, and implementation is required
• Ability to analyzing complex data systems – failure analysis / root cause analysis, developing, improving, and maintaining technical engineering documentation