Staff Software Engineer

Opus Recruitment Solutions
Glasgow
5 months ago
Applications closed

Related Jobs

View all jobs

Staff Software Engineer

Senior / Staff Software Engineer

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

Senior Staff Engineer - Platform QA

Machine Learning / Natural Language Processing Engineer (KTP Associate)

Senior Data Scientist (GenAI)

Staff Software Engineer - Exciting Biotech company -

*MUST BE GLASGOW BASED OR SURROUNDING AREAS*


My client are an exciting Biotech company who have raised a large amount of funding from investors based in Silicon valley and around the globe


About them:

  • They have developed a platform that combines purpose-built programming languages, robotics, AI, and the world’s largest and continuously growing database of chemical programs.


Role Overview:As a Staff Software Engineer, you’ll be a key player in their team, contributing to the development and maintenance of scalable, high-performance cloud applications. Your collaboration with scientists and operational users will drive delivery and requirements specifications. Specifically:


  • Architect and Implement:You’ll design robust server-side logic, ensuring optimal performance and responsiveness for both front-end and event-driven API requests.
  • Collaborate:Work closely with engineers, data scientists, and front-end developers to create innovative solutions.
  • Make an Impact:Contribute to accelerating chemical discovery and transforming the landscape of materials science.


Skills and Qualifications

  • Strong experience with: Python (FastAPI/Django/Flask),
  • Expertise in SQL and ORM frameworks such as SQLAlchemy.
  • Knowledge of Kafka and/or RabbitMQ.
  • Some experience with cloud services like AWS, Azure, or Google Cloud.
  • Understanding of object-oriented techniques and fundamental design principles & patterns underlying cloud applications.
  • Proficient understanding of code versioning tools such as Git.
  • Familiarity with continuous integration/continuous deployment procedures and tools.
  • Strong experience with Docker.
  • Proven experience participating in the scoping, design, and building of complex software systems
  • At least 10 years of experience writing production-grade, high-quality code in industry.
  • Strong work ethic and growth mindset.
  • Excellent written and oral communications skills
  • Ability to commute to Glasgow based office.


Beneficial Skills

  • Knowledge of NoSQL, Graphs, and TimeSeries databases.
  • Startup experience.
  • React & TypeScript
  • Agile development methodologies.
  • Degree in Computer Science, Engineering, or a related STEM field.
  • Knowledge of data science, chemistry, and the scientific process.

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.