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- Tasks: Join us as a Production Software Engineer to enhance real-time distributed systems and streamline software delivery.
- Company: G-Research is a leading tech firm in finance, known for its innovative culture and top talent.
- Benefits: Enjoy competitive pay, 35 days off, free lunch, and a relaxed dress code.
- Why this job: Make a real impact in a dynamic environment while collaborating with brilliant minds in tech.
- Qualifications: Strong software engineering background, especially in distributed systems and containerisation technologies.
- Other info: Work from our new Soho Place office in Central London, opened in 2023.
The predicted salary is between 43200 - 64800 £ per year.
Production Software Engineer – Forecasting
Join to apply for the Production Software Engineer – Forecasting role at G-Research
Production Software Engineer – Forecasting
Join to apply for the Production Software Engineer – Forecasting role at G-Research
Direct message the job poster from G-Research
Talent Acquisition Manager – Research Engineering at G-Research
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab.
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
- Monthly company events
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering, Information Technology, and Finance
-
Industries
Financial Services and Capital Markets
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Production Software Engineer - Forecasting employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production Software Engineer - Forecasting
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes and observability tools like Prometheus and Grafana. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Engage with the G-Research community on platforms like LinkedIn or relevant tech forums. This can help you gain insights into their culture and values, and you might even connect with current employees who can provide valuable tips.
✨Tip Number 3
Prepare to discuss your experience with fault-tolerant systems and how you've contributed to high-availability platforms. Be ready to share specific examples that demonstrate your problem-solving skills under pressure.
✨Tip Number 4
Showcase your focus on continuous improvement by discussing any past initiatives where you reduced manual intervention through engineering solutions. This aligns well with the role's emphasis on operational efficiency.
We think you need these skills to ace Production Software Engineer - Forecasting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with distributed, real-time systems. Emphasise your familiarity with containerisation and orchestration technologies like Kubernetes.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role at G-Research. Mention specific projects or experiences that demonstrate your debugging skills and ability to work under pressure.
Showcase Relevant Skills: Clearly outline your experience with observability tooling and practices such as Prometheus and Grafana. Provide examples of how you've contributed to fault-tolerant platforms in previous roles.
Highlight Continuous Improvement: Discuss any initiatives you've led or participated in that focused on reducing manual intervention through engineering. This aligns well with G-Research's focus on continuous improvement.
How to prepare for a job interview at G-Research
✨Showcase Your Technical Skills
Be prepared to discuss your experience with distributed, real-time systems and containerisation technologies like Kubernetes. Highlight specific projects where you've implemented these technologies and the impact they had on operational efficiency.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice articulating your debugging process and how you identify root causes under pressure. Use examples from past experiences to illustrate your problem-solving skills.
✨Familiarise Yourself with Observability Tools
Research observability tooling such as Prometheus and Grafana. Be ready to discuss how you've used these tools in previous roles to monitor and improve system performance, as well as how you would apply them in this new position.
✨Emphasise Collaboration and Communication
Since the role involves working across multiple engineering teams, highlight your experience in collaborative environments. Share examples of how you've successfully engaged with different teams to achieve common goals and improve production support.
