Golang Developer

C++ coding and debugging to strengthen and optimize systems.

○ Design and architecture (HLD/LLD) to ensure scalable and robust solutions.

● 10–15 years in the tech industry, with 2–4 years in technical leadership or managerial roles.

● Technical Expertise: Expertise in C++ development, enterprise architecture, andscalable system design, and proficiency in performance optimization, scalability,software architecture, and networking principles.

Extensive experience managing the full development lifecycle of large-scale softwareproducts, from concept to deployment.

● Strong knowledge of STL containers, multi-threading concepts, and algorithms.

Solid understanding of memory management and efficient resource utilization.

● Microservices Architecture Expertise: Experience in designing and implementing

scalable, reliable microservices.

● Strong Communication & Decision-Making Skills: Ability to clearly articulate

trade-offs, make informed decisions, and ensure alignment across stakeholders.

● Commitment to Creating and fostering Engineering Excellence: Deep

understanding of best practices, including code quality, testability, security, and

release management, and passion for fostering a strong engineering culture and

continuously improving developer workflows and tools.

● Self-Driven and Motivated: Ability to operate independently while driving impactful

results.

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.

Software Engineer – C++ (3-6 years of experience)

1. Telecom/Volte LTE 2g 3g  Preferred
2. Programming knowledge of multi-threading, sockets, IPCs.
3. Well versed with std and boost libraries.
4. Working knowledge of GNU compilers, optimization techniques on Unix/Linux based systems.
5. Proficient in debugging tools like GDB/Valgrind and profiling tools like oprofile.
6. Knowledge of Diameter (AAA) Stack

• Development experience of communication protocol stacks
• Hands on experience in multi-threaded design techniques and implementation
• Good hands-on experience on data structures and algorithms