Staff Software Engineer

Best Buy
London
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer - Remote (Edinburgh) - 100-120K

Connectomics Data Analysis Engineer

Staff Verification IP Applications Engineer

Senior Data Scientist (GenAI)

Senior Data Scientist (MLOps)

Health and Safety Technician

22-Aug-2024

Staff Software Engineer

Full time

Job Description

As a Staff Engineer you will work with the Product Engineering teams that strive to deliver end-end customer and patient outcomes vs. narrow features. They take care to evaluate where they can further the long term technical vision, whilst having a bias towards action and customer / product value.

This role is remote eligible, which means you would work virtually from home or another non-Best Buy Health location. 

What you’ll do

You will play a key part in the direction of your product. You will assist management and senior technical leaders across the organization.

You will play a big part in the product roadmap, strategy, and be able to drive priorities for your product

Collaborate and make proposals across teams on their engineering work.

Mentor, coach, and guide engineers within your team

Propose technical implementation that will help support technical architectural changes for performance issues.

You will work in one of our software engineering teams, building out our platform and product for use by patients and healthcare professionals.

You will build scalable, well-tested applications and microservices.

You will collaborate closely with other disciplines, including biomedical engineering, data science, electronics engineering and product science.

You will operate across the stack but will have significant back-end or data engineering experience.

You will contribute to technical design and code reviews

You will help provide 24/7 support for the product, resolving live issues when needed

You will be responsible for a product engineering team delivering key objectives that enable the product to scale, directly improving healthcare provision across the world.

You will work closely with Product Management and ensure the team is accountable for the outcomes delivered. You will have a firm grasp on why the team is building functionality, for whom and the value it will deliver. You will also contribute to that product vision and strategy and likely have strong natural motivation to do so.

You will be aware of the impact of your team's work on other areas of the org, including longer term architectural viability of solutions, as well as opportunities for wider cooperation.

Basic qualifications

Bachelor's degree in IT, Computer Science, Engineering, or related field OR equivalent combination of education and/or experience 

5 years of relevant experience with a Bachelor's degree OR equivalent relevant professional experience

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Careers

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Jobs

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.