We are looking for a Trade Operations Engineer to take ownership of our risk, middle-office, and back-office systems. This role sits at the intersection of trading, engineering, and operations, and is critical to the reliability and scalability of the firm.

You will work closely with quantitative researchers, traders, and infrastructure, building and maintaining the systems that ensure trades are correctly captured, reconciled, and monitored in real time.

The role is hands-on and end-to-end. You will be responsible for designing, building, and operating full-stack applications that support trade reconciliation, risk monitoring, and operational workflows across both AWS and bare-metal environments.

What You’ll Be Doing

• Designing and building full-stack applications for risk monitoring and middle/back-office workflows using Java and React
• Owning trade reconciliation pipelines, ensuring accuracy and consistency across multiple systems and venues
• Developing operational tooling and monitoring to support live trading and post-trade processes
• Working closely with infrastructure to support systems running across AWS and colocated bare-metal servers
• Troubleshooting and maintaining trading applications, primarily in Java, with some interaction with C++ components
• Investigating and resolving live production issues related to trade flow, clearing, and risk limits
• Improving system reliability, observability, and operational efficiency over time

What You Need

Finance Experience: You have prior professional experience as a software engineer within the finance industry. Experience in HFT, proprietary trading, or systematic trading environments is a strong advantage.

Technical Stack: Strong full-stack engineering experience, with Java on the back-end and React on the front-end. You are comfortable owning both application logic and user-facing components.

Domain Knowledge: You understand post-trade workflows and operational processes, including trade reconciliation, clearing, and real-time risk monitoring. You are comfortable working with trade lifecycle data and debugging inconsistencies.

Systems Environment: You are comfortable working in Linux environments and collaborating with infrastructure teams. Experience working across cloud (AWS) and bare-metal or colocated environments is beneficial.

C++ Familiarity: You do not need to build low-latency systems in C++, but you should be comfortable reading, debugging, and making targeted changes in existing C++ codebases.

Ownership & Mindset: You take ownership of systems end-to-end, from development through to production support. You are pragmatic, detail-oriented, and comfortable working in a fast-paced trading environment where systems must be reliable under pressure.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

HFT Software Developer – Junior & Senior Levels

About DeepFin Research

DeepFin Research is a proprietary high-frequency trading (HFT) firm powered by cutting-edge Deep Learning (DL) and Deep Reinforcement Learning (DRL). We've brought on teammates from Nvidia, DeepMind, CitSec, Graviton, Tower, Jump, and others, and are aggressively working across cutting edge AI research and traditional quant research methods to monetise our AI generated signals across the global financial markets.

The Role

We are looking for exceptional HFT software engineers to build our HFT trading infrastructure across global finanacial markets, including different asset classes, end-to-end from the ground up. This will include working across connectivity, market data, execution, risk, and building high performance high throughput C++ systems.

Responsibilities

• Design, implement, and optimize ultra-low-latency, zero-allocation trading engines in modern C++.
• Develop and maintain market data handlers and execution gateways utilizing protocols like FIX, OUCH, ITCH, and raw UDP multicast.
• Optimize system critical paths through OS-level tuning, CPU pinning, cache-line optimization, and NUMA-aware programming.
• Interface with hardware-accelerated components, working alongside FPGA engineers to integrate PCIe/DMA data pipelines.
• Implement kernel-bypass networking solutions (e.g., Solarflare OpenOnload, DPDK) to minimize network stack latency.
• Collaborate directly with AI researchers and quantitative traders to deploy complex quantitative models into strict, latency-sensitive production environments.
• Work end-to-end on projects from the ground up – this is not a role to focus on specialised parts of the infrastructure stack, but rather to see projects through end-to-end.

Ideal Candidate Profile

• 1–3 years of experience in low-latency software engineering for Junior candidates; 3–10+ years for Senior candidates.
• Exceptional expertise in C++ with a deep understanding of lock-free data structures, custom memory allocators, and hardware architecture.
• Proven experience building systems in HFT or highly concurrent, real-time computing environments.
• Strong grasp of Linux internals, network programming (TCP/IP, UDP), and performance profiling tools (e.g., perf, VTune).
• Solid understanding of futures markets microstructure; exposure to FX and options markets is a strong plus.
• Entrepreneurial mindset with the communication skills required to thrive in a fast-paced, highly collaborative environment, preferring end-to-end ownership over extreme specialization.