At a Glance
- Tasks: Design and build secure, scalable APIs and microservices on AWS.
- Company: Leading tech consultancy delivering innovative digital platforms.
- Benefits: Competitive salary up to £105k, bonus, and potential for sponsorship.
- Other info: Opportunity for career growth and hands-on experience with cutting-edge technology.
- Why this job: Join a dynamic team and work on impactful projects in a regulated environment.
- Qualifications: Experience in API design, AWS, Python, and CI/CD processes.
The predicted salary is between 60000 - 75000 £ per year.
Location: London customer site – 1/2 days p/week on site
Salary: Up to £105k DoE plus bonus
Clearance: Active SC preferred – can sponsor if not currently held (British passport required)
We’re working with a leading technology consultancy delivering secure, large-scale digital platforms across public sector and enterprise programmes. They’re looking for an experienced AWS API & Integration Engineer to help design and deliver modern, scalable API-led architectures. This is a hands-on engineering role focused on building secure, cloud-native APIs and microservices on AWS, working across complex distributed systems in highly regulated environments.
What you’ll be doing:
- Designing and building RESTful APIs using AWS Lambda & API Gateway
- Developing microservices and integration solutions using Python
- Defining API standards, integration patterns, and service boundaries
- Building secure integrations using IAM, OAuth / token-based auth
- Supporting end-to-end delivery: design, build, deploy & production support
- Working across distributed systems and enterprise integrations
- Supporting CI/CD pipelines and live service operations
What we’re looking for:
- Strong experience in API design, microservices, and system integration
- Hands-on AWS experience (Lambda, API Gateway)
- Strong Python backend or integration development skills
- Experience with secure API architecture (IAM, authentication/authorisation)
- CI/CD experience and production support exposure
- Background in enterprise or regulated environments (ideal)
Desirable skills:
- Kafka / event-driven architecture
- Apigee or MuleSoft
- PostgreSQL / document stores
- AWS certifications
- Observability tools (CloudWatch, ELK, Grafana)
Security Clearance: Due to the nature of the work, candidates must either hold an active SC Clearance or be eligible to obtain – British passport holder.
AWS Data & API Integration Engineer/Architect employer: Searchability
Join a leading technology consultancy in London, where innovation meets opportunity. With a strong focus on employee growth and a collaborative work culture, this company offers competitive salaries, bonuses, and the chance to work on impactful projects within the public sector. Enjoy the unique advantage of working in a dynamic environment that values secure, scalable solutions while providing support for your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data & API Integration Engineer/Architect
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We think you need these skills to ace AWS Data & API Integration Engineer/Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Searchability, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Searchability. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Searchability
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Searchability!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
