IT Technical Lead

Crawley
3 days ago
Create job alert

Technical Team Lead - Java

Approx. £85,000 + Benefits + Bonus

An exciting opportunity has opened for an experienced Technical Team Lead to join a successful and growing global business specialising in real-time data analytics for call management software. Partnered with industry giants such as Microsoft and Cisco, the company is expanding its product suite and customer base globally.

As Technical Team Lead, you will play a pivotal role in the design, development, and delivery of scalable, high-quality software. This role is approximately 70-80% technical-covering full-stack development, systems design, architecture, and serving as the senior technical escalation point for your squad. The remaining 20-30% focuses on leadership-driving best practice, resource planning, and contributing to overall team performance and delivery.

You'll join an established engineering function of around 30 people, working alongside Development Managers, Technical Leads, Developers, Product Owners, and a QA team. This hybrid role requires just 1 day per week onsite in Crawley, with the flexibility to work remotely the rest of the week.

What You'll Need to Succeed:

Proven experience in a Technical Lead or Senior Software Engineer role within a similar domain.
Strong commercial experience in Core Java development, with a deep understanding of multithreaded server-side applications and microservice architecture.
Hands-on experience with front-end technologies such as React and JavaScript.
Cloud expertise with AWS services (EC2, VPC, S3, CloudWatch).
Strong understanding of system design, scalability, and optimising performance in high-availability systems.
Experience working with Agile methodologies and modern software delivery practices.
Excellent communication skills and the ability to mentor, lead, and inspire a development team.
Strong knowledge of PostgreSQL, API design, web security, and application vulnerabilities.Desirable Skills:

Experience with Microsoft Azure services.
Familiarity with the Atlassian suite (Bitbucket, Jira, Confluence).
Proficiency with CI/CD tools and deployment practices, such as AWS CodeDeploy and Bitbucket pipelines.
Microsoft Teams Administration experience.
Prior experience working with geographically dispersed or remote teams.What's On Offer:

Salary up to £85,000 + benefits
Hybrid working model - 1 day per week onsite in Crawley, West Sussex.
Career progression opportunities in a growing international business.

If you're an experienced Technical Team Lead with a passion for hands-on development and leading by example, we'd love to hear from you.

Interviews available throughout March & April. 2 stage interview process.

Hit apply and get in touch asap!

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

Related Jobs

View all jobs

AI Technical Lead, ex .NET C#, Microsoft Developer, AI Maverick Remote

Technical Lead Software Engineer

Software Development Manager (Java)

MySQL Engineer / DBA

Senior Security Architect

Lead Data Analyst - Millennial Specialty Insurance

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

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

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.