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Loading LAYIQ…From Man Group's posting. “We” and “our” refer to the employer.
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives.
Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $253.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here.
We're seeking a Staff Python Engineer to provide technical leadership across our technology organisation, working on high-impact challenges spanning systematic trading, quantitative research, our petabyte-scale data platform, and AI solutions.
This is a senior individual-contributor role for an engineer who sets technical direction, not just delivers against it. You will shape architecture across team boundaries, raise the engineering bar through hands-on mentorship and review, and act as a trusted technical partner to engineering leadership, researchers, and traders. You'll be given significant autonomy to identify and drive the highest-leverage technical initiatives, while remaining deeply hands-on in design and code.
Role Responsibilities
Own architectural direction for critical systems, making build-vs-buy and long-term design decisions that span multiple teams and years, not just sprints
Design and build scalable backend systems, APIs, and distributed compute applications that underpin trading and research infrastructure, with a focus on performance, resilience, and observability at scale
Build and evolve high-performance data pipelines for petabyte-scale financial datasets, working across timeseries, SQL, and NoSQL databases
Act as a technical escalation point and thought partner for engineers, researchers, and platform teams, translating ambiguous or conflicting requirements into coherent technical strategy
Our Technology
You'll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you'll use and help evolve. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology
Our Sofia Office
This role sits within our growing Sofia office, one of Man Technology's fastest-expanding engineering hubs outside London. We recently moved into a newly built, purpose-designed office in the city as part of our long-term investment in the team here. Beyond day-to-day delivery, our Sofia engineers help raise Man Group's profile as a technology employer locally - engaging with the Bulgarian tech community through university partnerships, hackathons, and local meetups.
Key Competencies
Essential
8+ years' professional software development experience, with deep expertise in Python or another object-oriented language and demonstrated ability to become an expert-level Python engineer quickly
Deep knowledge of one or more relevant database technologies, spanning relational (e.g. Oracle, PostgreSQL, SQL Server, MySQL), NoSQL/document (e.g. MongoDB), or timeseries (e.g. ArcticDB) systems
Advantageous
Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn)
Familiarity with related data platforms such as monitoring and metrics (e.g. Prometheus, InfluxDB), search and analytics (e.g. Elasticsearch), streaming (e.g. Kafka), or big data and distributed compute (e.g. Hadoop, Spark)
Why Man Group?
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