Production Software Engineer

Reposted 19 Hours Ago
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London, Greater London, England, GBR
In-Office
Mid level
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
The Role
The Production Software Engineer ensures system resilience and operational efficiency, focusing on deployment automation, observability, and collaboration across engineering teams.
Summary Generated by Built In

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve.  Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

Take the next step in your career.

The role

Ensuring resilience, uptime and operational efficiency is mission-critical to its success.

As a Production Software Engineer, you will play a key role in driving observability, reliability, change safety and runtime optimisation across a complex, federated engineering environment. 

You will design and implement the systems, tooling and workflows that ensure the distributed platform is robust, observable and engineered for speed and safety. This includes owning the engineering infrastructure that supports deployment automation, real-time diagnostics and fault-tolerant operations.   

This is a high-impact, hands-on engineering role. You’ll work closely with software engineers, infrastructure engineers, front office execution and research to streamline delivery into production, strengthen runtime behaviour and reduce operational risk. You’ll also participate in a shared production support model to reinforce stability and continuous improvement. 

Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers. 

Key Responsibilities of the role include: 

  • Improving the resilience and efficiency of real-time distributed systems by identifying bottlenecks, reducing operational toil and limiting blast radius 

  • Developing tooling and frameworks to support frequent, low-risk software delivery across a wide engineering estate 

  • Working with infrastructure teams to own and evolve domain specific metrics, alerting and diagnostics infrastructure used to operate and monitor the platform 

  • Building and maintaining core systems for deployment automation, observability, runtime environment management and release readiness 

  • Promoting runtime engineering best practices, working with federated teams to align on standards, service ownership and fault tolerance 

  • Participating in a shared production support rotation, helping respond to incidents, troubleshoot runtime issues and driving engineering improvements 

  • Collaborating with application, research and execution teams to define and uphold runtime boundaries, deployment criteria and production SLAs 

Who are we looking for?
  • Strong background in software engineering, ideally in distributed, real-time systems 

  • Experience with containerisation and orchestration technologies, such as Kubernetes, in production environments 

  • Familiarity with observability tooling and practices, such as Victoria Metrics, Prometheus, Grafana, OpenTelemetry and SLOs

  • Well-developed debugging skills with the ability to navigate unfamiliar systems, identify root causes and deliver effective solutions under time pressure 

  • Proven track record of contributing to fault-tolerant, high-availability platforms 

  • Proven ability to build and deploy software in resource-constrained environments, leveraging standard tooling effectively to support practices such as CI/CD systems and deployment automation 

  • Comfort working in a federated model, engaging across multiple engineering teams and product streams 

  • Focus on continuous improvement, reducing the need for manual intervention through engineering 

Why should you apply?
  • Highly competitive compensation plus annual discretionary bonus

  • Lunch provided (via Just Eat for Business) and dedicated barista bar

  • 35 days’ annual leave

  • 9% company pension contributions

  • Informal dress code and excellent work/life balance

  • Comprehensive healthcare and life assurance

  • Cycle-to-work scheme

  • Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

Top Skills

Ci/Cd
Grafana
Kubernetes
Opentelemetry
Prometheus
Victoria Metrics
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The Company
Dallas, TX
1,039 Employees
Year Founded: 2001

What We Do

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets. We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.

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