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. 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. 0–3 years of prior DevOps experience (containerization, build pipelines, Infrastructure as Code). 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 in India 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. 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. Show more Show less
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 our Frontend / Full Stack Engineer , you’ll lead the creation of a stunning, intuitive user experience—spanning our landing page, drag-and-drop strategy builder, trading dashboards, and internal tools. You’ll collaborate closely with design, backend, and DevOps teams to build high-performance, secure, and scalable customer-facing applications. This role is central to delivering the reliability, flexibility, and performance 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 Design, build, and deploy customer-facing interfaces, including the strategy builder, dashboards, and marketplace. Implement reusable UI components based on Figma designs; integrate charting tools like TradingView or Highcharts. Own the frontend development pipeline, including prototyping, implementation, testing, and responsiveness. Implement secure authentication and user management (OAuth2, JWT, multi-role access). Build real-time web experiences using WebSockets, REST, and client-server integrations. Collaborate with backend and DevOps teams to streamline data flow and deployment workflows. Top Technical Competencies Strong foundation in HTML/CSS , JavaScript/TypeScript . Proficiency in modern frontend frameworks such as React (Next.js) , Svelte , Angular , Vue , or Phoenix . Experience with OAuth2 and secure authentication workflows. Familiarity with server-side rendering (SSR) and modern state management (Zustand, Redux, MobX). Integration experience with charting libraries such as TradingView , Recharts , or Highcharts . Deployment experience using platforms like Vercel , Heroku , GCP , or AWS. Working knowledge of WebSockets , REST APIs , and data streaming models. 0–3 years of frontend development experience. Bonus Competencies Familiarity with Supabase , PostgreSQL , Firebase , or MongoDB . Understanding of microfrontend architectures or API Gateway patterns. Experience with WebAssembly and real-time trading interfaces. Exposure to fintech platforms or trading systems . 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. Ideal Candidate You’re a design-minded full stack engineer who builds fast, clean, and modular frontend systems. You thrive on making complex interfaces intuitive—turning strategy logic into drag-and-drop workflows—and can ship high-performance components that integrate seamlessly with real-time APIs. You value design systems, scalable frontends, and cross-functional collaboration. What We Offer Opportunity to shape the product interface 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. Exposure to financial modeling, trading infrastructure, and real-time systems. Collaboration with a world-class team from Pomona , UCLA , Harvey Mudd , and Claremont McKenna . Show more Show less
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. 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. Show more Show less
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 our DevOps Engineer , you will bridge our backend systems (strategy engine, broker APIs) and frontend applications (analytics dashboards, client portals). You will own the design and execution of scalable infrastructure, CI/CD automation, and system observability in a high-frequency, multi-tenant trading environment. This role is central to deploying our containerized strategy engine (Lean-based), while ensuring data integrity, latency optimization, and cost-efficient scalability. We are a remote-first team and are open to hiring exceptional candidates globally. Key Responsibilities Design secure, scalable environments for containerized, multi-tenant API services and user-isolated strategy runners. Implement low-latency cloud infrastructure across development, staging, and production environments. Automate the CI/CD lifecycle, from pipeline design to versioned production deployment (GitHub Actions, GitLab CI, etc.). Manage Dockerized containers and orchestrate deployment with Kubernetes, ECS, or similar systems. Collaborate with backend and frontend teams to define infrastructure and deployment workflows. Optimize and monitor high-throughput data pipelines for strategy engines using tools like ClickHouse. Integrate observability stacks: Prometheus, Grafana, ELK, or Datadog for logs, metrics, and alerts. Support automated rollbacks, canary releases, and resilient deployment practices. Automate infrastructure provisioning using Terraform or Ansible (Infrastructure as Code). Ensure system security, audit readiness (SOC2, GDPR, SEBI), and comprehensive access control logging. Contribute to high-availability architecture and event-driven design for alerting and strategy signals. Technical Competencies Required Cloud: AWS (preferred), GCP, or Azure. Containerization: Proficiency with Docker and orchestration tools (Kubernetes, ECS, etc.). CI/CD: Experience with YAML-based pipelines using GitHub Actions, GitLab CI/CD, or similar tools. Data Systems: Familiarity with PostgreSQL, MongoDB, ClickHouse, or Supabase. Monitoring: Setup and scaling of observability tools like Prometheus, ELK Stack, or Datadog. Distributed Systems: Strong understanding of scalable microservices, caching, and message queues. Event-Driven Architecture: Experience with Kafka, Redis Streams, or AWS SNS/SQS (preferred). Cost Optimization: Ability to build cold-start strategy runners and enable cloud auto-scaling. 0–3 years of experience. Nice-to-Haves Experience with real-time or high-frequency trading systems. Familiarity with broker integrations and exchange APIs (e.g., Zerodha, Dhan). Understanding of IAM, role-based access control systems, and multi-region deployments. Educational background from Tier-I or Tier-II institutions with strong CS fundamentals, passion for scalable infrastructure, and a drive to build cutting-edge fintech systems. What We Offer Opportunity to shape the core DevOps and infrastructure for a next-generation fintech product. Exposure to real-time strategy execution, backtesting systems, and quantitative modeling. Competitive compensation with performance-based bonuses. Remote-friendly culture with async-first communication. Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna. Show more Show less