Software Development Engineer, S3

Evi Technologies Limited
Cambridge
2 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer II - Data Engineer, Python, SQL - Associate

Software Engineer III - Data Engineer - Python, SQL - Senior Associate

Machine Learning Engineer

Machine Learning Engineer

Principal Machine Learning Engineer, Director (London)

Lead Data engineer, London

Amazon's Simple Storage Service (S3) provides a key-value interface to an infinitely scalable and durable storage system. We build and run the largest commercial storage system in the world with over 400 trillions of objects.

We are part of the fast growing S3 team in Cambridge UK and build features to help customers make sense of the exabytes of data they store in S3 and how it is accessed. This means streaming and big data processing at the scale of over 150 million requests per second. We make use of a broad set of AWS technologies across databases, real-time streaming, compute platforms, and data analytics engines.

We work closely with our customers and partners to understand their needs. We own customer facing features like CloudTrail events for S3 requests that give customers security, governence, and compliance auditing into their S3 activity. We also deliver CloudWatch request metrics that give customers operational visibility into how their data is accessed.

Ownership is central to everything we deliver at Amazon. You will own the entire lifecycle of your work from design to implementation, testing, and operations. We strive to build a collaborative work environment that lets you both broaden your impact and grow with the support of mentors and senior engineers on the team.

You should be somebody who enjoys working on complex system software, is customer-centric, and feels strongly not only about building great software but about making that software achieve its goals in operational reality. Join us and help solve a challenging set of problems in a space packed full of opportunities.

S3 is part of AWS Utility Computing (UC) that provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Key job responsibilities
Writing quality, reusable code for highly scalable and reliable cloud-based services
Working closely with product and development management to architect the service
Being a champion for operational excellence by Insisting on the Highest Standards
Writing code that continuously improves service reliability and availability
Providing on-call product support approximately once every two months
Having fun working on ground breaking technology with people just as passionate about their work as you!


A day in the life
A typical day centers around delivering features for our customers whether we are in early design stages, heads down on implementation, or automating testing and deployments.

Collaboration is central to how we work, meaning you can expect valuable input from your peers on the work you deliver. You will also participate in design reviews, code reviews, or even just brainstorming with other team members.

Our customer obsession shows in how we own day-to-day operations for the services we build. This allows us to see what isn't working and prioritize making it right.

About the team
About AWS.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

- Experience (non-internship) in professional software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent

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.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.