Job Description

Full Time

London



We are seeking a highly skilled and driven

Senior Software Engineer

to join our Trade Surveillance Platform team. This is a hands-on role is focused on building scalable, high-performance systems that support our market surveillance and compliance products. You will work on our award-winning trading and surveillance platform, including

TT Trade Surveillance

, which leverages machine learning to detect trading behavior that may trigger regulatory inquiries. Our tech stack includes

Java, Python, Apache Spark (on Serverless EMR), AWS Lambda, DynamoDB, S3, SNS/SQS

, and other cloud-native services.
As part of a high-impact engineering team, you'll help design and implement fault-tolerant data pipelines and services that operate on massive, time-series datasets and support real-time and batch analytics. This is an opportunity to solve challenging problems at scale in a domain where precision, performance, and reliability are critical.


#####

What Will You be Involved With?

Design and build

scalable, distributed systems

using

Java

,

Python

, and

Apache Spark

Develop and optimize

Spark jobs

on

AWS Serverless EMR

for processing large-scale time-series datasets Build event-driven and batch processing workflows using

Lambda

,

SNS/SQS

, and

DynamoDB

Read, process, and transform data from a variety of sources: flat files, APIs, and streaming systems Participate in architecture/design discussions, code reviews, and system performance tuning Write

unit, integration, and performance tests

to ensure code quality and platform resilience Contribute to

system observability

, logging, alerting, and operational readiness Present technical ideas clearly to both engineers and non-technical stakeholders


#####

What Will You Bring to the Table?

Strong backend software engineering experience, ideally with

distributed systems

and

large-scale data processing

Strong programming skills in

Java

(multithreading, concurrency, performance tuning) Deep experience with

Apache Spark

and

Spark Streaming

Proficiency with

AWS services

, including Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with

SQL and NoSQL databases

Hands-on with

Python

, especially in data handling (pandas, scikit-learn, etc.) Familiarity with

RESTful web services

and event-driven architectures Strong debugging, testing (JUnit or equivalent), and system design skills Passion for building

scalable

, reliable platforms that support real-world use cases Experience in

financial markets

,

trade surveillance

, or

regulatory technology (RegTech)

Familiarity with

machine learning frameworks

such as H2O.ai or similar


#####

Benefits

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance.

Health & Financial Security:

+ Medical, Dental, and Vision coverage
+ Group Life (GTL) and Group Income Protection (GIP) schemes
+ Pension contributions

Time Off & Flexibility:

+ Enjoy the best of both worlds: the energy and collaboration of in-person work, combined with the convenience and focus of remote days. This is a hybrid position requiring three days of in-office collaboration per week, with the flexibility to work remotely for the remaining two days. Our hybrid model is designed to balance individual flexibility with the benefits of in-person collaboration, enhanced team cohesion, spontaneous innovation, hands-on mentorship opportunities and strengthens our company culture.
+ 25 days of Paid Time Off (PTO) per year, with the option to roll over unused days.
+ One dedicated day per year for volunteering.
+ Two professional development days per year to allow uninterrupted professional development.
+ An additional PTO day added during milestone anniversary years.
+ Robust paid holiday schedule with early dismissal.
+ Generous parental leave for all parents (including adoptive parents).

Work-Life Support & Resources:

+ Budget for tech accessories, including monitors, headphones, keyboards, and other office equipment.
+ Milestone anniversary bonuses.

Wellness & Lifestyle Perks:

+ Subsidy contributions toward gym memberships and health/wellness initiatives (including discounted healthcare premiums, healthy meal delivery programs, or smoking cessation support).

Our Culture:

+ Forward-thinking, culture-based organization with collaborative teams that promote diversity and inclusion.



Trading Technologies is a Software-as-a-Service (SaaS) technology platform provider to the global capital markets industry. The company's award-winning TT platform connects to the world's major international exchanges and liquidity venues in listed derivatives alongside a growing number of asset classes, including fixed income and cryptocurrencies. The TT platform delivers advanced tools for trade execution and order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to the world's leading sell-side institutions, buy-side firms, and exchanges. The company's blue-chip client base includes Tier 1 banks as well as brokers, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. These firms rely on the TT ecosystem to manage their end-to-end trading operations. In addition, exchanges utilize TT's technology to deliver innovative solutions to their market participants. TT also strategically partners with technology companies to make their complementary offerings available to Trading Technologies' global client base through the TT ecosystem.
Trading Technologies (TT) is an equal-opportunity employer. Equal employment has been, and continues to be, a required practice at the Company. Trading Technologies' practice of equal employment opportunity is to recruit, hire, train, promote, and base all employment decisions on ability rather than race, color, religion, national origin, sex/gender orientation, age, disability, sexual orientation, genetic information or any other protected status. Additionally, TT participates in the E-Verify Program for US offices.