Director of Software Engineering

NearTech Search
London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

This range is provided by NearTech Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A Software Engineering Director is needed to join a growing SaaS company. This is a fantastic opportunity for a Software Engineering Leader who has a strong SaaS scale-up background - growing teams, evolving processes, structuring teams and cultivating a positive, high performance engineering culture.

The new Director of Software Engineering will need to enjoy being close to the tech, working closely with software engineers (1-to-1) and being hands-on with software architecture design. Their range of tech stack includes Python, Typescript, Ruby on Rails, AWS, NoSQL, MongoDB.

Experience Needed:

  • Leadership & Team Scaling:Proven experience in growing and managing engineering teams in a fast-paced, technology-driven environment.
  • Programming Languages:Python, TypeScript, Ruby on Rails
  • Cloud & Infrastructure:Extensive experience with AWS cloud services and large-scale SQL database management.
  • System Design & Best Practices:Deep understanding of system architecture, CI/CD pipelines, and engineering principles.
  • Scaling SaaS Platforms:Prior experience working with SaaS platforms that have required scale and pace.
  • Performance & Observability:Familiarity with NoSQL databases (ideally MongoDB or Redis), system monitoring tools, and performance optimisation.
  • AI & Machine Learning:Knowledge of ML/AI implementations is a plus.

Key Responsibilities:

  • Technical Leadership:Software Architecture Design and technology road-mapping.
  • Product Development:Deliver high-quality, scalable software product features, balancing speed, performance, and reliability.
  • Engineering Operations:Enhance workflows through best practices in Kanban, CI/CD, and cloud-based infrastructure.
  • Scalability & Performance:Ensure robust, efficient & high-performance cloud systems.
  • Team Growth & Leadership:Scale and manage multiple engineering squads, fostering a world-class engineering culture through mentorship and technical leadership.

If you’re interested in this Director of Software Engineering opportunity, please apply ASAP – you can also contact me directly on LinkedIn or call me on .

Seniority level

  • Director

Employment type

  • Full-time

Job function

  • Software Development and Technology, Information and Media

J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 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.