PLS-CADD Designer

Required skills / knowledge

• Experienced in software development and proficient in one or more of the following

programming languages - Python, JAVA and/or Perl.

• Experience with SDLC (software development lifecycle) best practices with large software

development projects is a must.

• Good knowledge in Computer Science fundamental

• Good organizational and English communication skills, prioritization of multiple projects and

objective.

Preferred skills / knowledge:

• Knowledge of storage technologies and disciplines namely, Fibre Channel, ISCSI, SCSI, NFS, CIFS,

POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding,

Distributed/Scale-out Storage, File systems, High-availability methods, working knowledge of

databases etc. are strongly preferred. Understanding networking protocols and connectivity

preferred.

• System Architecture experience within enterprise UNIX (RHEL)/Windows Server environments,

Container environments (RH Open Shift/Kubernetes/Docker, etc.) and Cloud environments

(Azure/AWS/Google) is highly desirable but not required.

• Understanding of Client/Server, Scaleout architectures, virtualization, performance and capacity

management strongly preferred.

• Good knowledge and experience of using Linux provisioning and system configuration

management tools such as Ansible, Puppet, Salt Stack, or Chef strongly preferred. Experience in

automation of a large-scale Linux deployment is preferred.

• Effective troubleshooting skills across O/S, network and storage.

• Knowledge in the following vendor products is preferred but not required: NetApp

7mode/cDOT/Engenio, IBM Spectrum Scale (aka GPFS), HDS Storage Arrays/HCP, EMC Atmos,

Brocade SAN/FOS, Veritas Storage Foundation Suite

Roles and Responsibilities

• Actively prospect and acquire new clients through various sales and marketing techniques, including cold calling, networking, and referrals.
• Build and maintain strong relationships with clients to understand their trading needs and provide tailored investment solutions.
• Execute trades on behalf of clients and ensure timely and accurate order execution.
• Stay updated on market trends, economic indicators, and geopolitical events to provide clients with informed trading recommendations.
• Collaborate with the research and analysis team to develop market insights and trading strategies.
• Provide exceptional customer service and support to clients throughout the trading process.
• Meet and exceed sales targets and performance metrics.

Desired Candidate Profile

• Bachelor's degree in Finance, Business, Economics, or a related field.
• Proven track record of success in client acquisition and sales within the financial services industry, preferably in FX trading.
• Strong understanding of financial markets, trading instruments, and risk management principles.
• Excellent communication, negotiation, and interpersonal skills.
• Ability to thrive in a fast-paced, competitive environment.

Perks and Benefits

• Desired Incentives.
• Overseas Trip by Company.
• Monthly Contest & Trophies.
• Quarterly and Annual Rewards and Recognition.

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.

Job Description:

Interviews will be scheduled in two days. 

We are seeking a highly skilled Scala Developer to join our team on an immediate basis. The ideal candidate will work remotely and collaborate with a US-based client, so excellent communication skills are essential.

Key Responsibilities:

Develop scalable and high-performance applications using Scala.

Collaborate with cross-functional teams to understand requirements and deliver quality solutions.

Write clean, maintainable, and testable code.

Optimize application performance and troubleshoot issues.

Participate in code reviews and ensure adherence to best practices.

Required Skills:

Strong experience in Scala development.

Solid understanding of functional programming principles.

Experience with frameworks like Akka, Play, or Spark is a plus.

Good knowledge of REST APIs, microservices architecture, and concurrency.

Familiarity with CI/CD, Git, and Agile methodologies.

Roles & Responsibilities

• Develop and maintain scalable backend services using Scala.
• Design and integrate RESTful APIs and microservices.
• Collaborate with cross-functional teams to deliver technical solutions.
• Write clean, efficient, and testable code.
• Participate in code reviews and ensure code quality.
• Troubleshoot issues and optimize performance.
• Stay updated on Scala and backend development best practices.

Immediate joiner prefer.

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

• Designing, architecting, developing and driving the technology roadmap
• Defining standards in coding, system design and architecture
• Delivering solutions according to user requirements while meeting development, quality and documentation standards
• Building data-driven applications applying clean code and architecture principles
• Working with the team to ensure deadlines are met

What you need to have:

• Relevant experience of 2 to 5 years as .net developer
• Hands on experience in Web forms, MVC, bootstrap, java script, windows application, crystal reports    
• Good in writing SQL, GIT
• Good in OOPs concept
• Knowledge of .net core 3.1 or above