Senior Software Engineer

Houston Texans
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Quantitative Developer

Quantitative Developer

Senior Data Engineer

Senior Data Engineer - Azure & Snowflake

Senior Data Engineer - Azure & Snowflake

Data Engineer - (Python, SQL, Machine Learning) - Robotics

WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

ENGINEERING - EPIC GAMES SERVICESWhat We Do

Driving the plug-in power behind Unreal Engine 5. We bridge connections for licensees and our own internal game teams to online services. This allows games like Fortnite to utilize a combination of platform online services as well as Epic’s own online services to build cross-platform online features. Login, parties, voice chat, matchmaking, purchasing, cloud storage, and analytics are just a few examples of online features that our Online Game Services team helps games utilize.

What You'll Do

The KWS team is looking for a Senior Developer to join the team to enable us to deliver more great features to our partners and to other teams in Epic. We are in the process of bringing together our KWS Data Engineering and KWS Developer Experience teams under one Engineering Lead and you will join that group, reporting to the new Engineering Lead.

In this role, you will

  • Be part of the KWS development team, completing tickets, giving sprint demos, etc.
  • Take the lead role in cross team projects.
  • Work on any part of the stack to deliver a feature but some experience in data engineering, front-end development or both.
  • Own the changes you make all the way through development to production.
  • Consider security, reliability and maintainability in the code you write with a focus on scale.
  • Undertake code reviews collaboratively and constructively and work with other teams across Epic.
  • Work with product managers, designers and others across the KWS team to get input into your work and provide input to their work.

What we're looking for

  • Excellent programming abilities — Full-stack expertise in React and Node.js — Open to candidates with compatible skill sets.
  • Experience across both front-end and back-end systems.
  • Experience in Data Engineering.
  • Experience in cloud-based application (preferably AWS).
  • Experience working with databases and queues which include sensitive data.
  • Keenness to learn and share learnings with other team members.
  • Enthusiasm for kids’ safety online.

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

ABOUT US

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policyhere.

#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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.