At a Glance
- Tasks: Design and develop scalable Python applications and APIs on AWS infrastructure.
- Company: Join a forward-thinking tech company focused on cloud-native solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make an impact by building secure and reliable services in a dynamic environment.
- Qualifications: Strong Python skills and experience with AWS and infrastructure-as-code tools.
The predicted salary is between 63000 - 77000 £ per year.
Experienced software engineer with strong Python development skills and a solid understanding of cloud-native architectures. Responsible for designing, building, testing and operating scalable applications and APIs, while maintaining the AWS infrastructure and CI/CD platforms that support them. The role combines hands-on software engineering with cloud and platform expertise, enabling teams to deliver secure, reliable and maintainable services. You'll contribute across the full development lifecycle, from solution design and coding through to deployment, monitoring and operational support.
Key role and responsibilities:
- Design, develop and maintain Python applications, APIs and backend services.
- Build and operate cloud-native solutions using AWS services (Lambda, API Gateway, ECS, Fargate, DynamoDB, S3, CloudWatch etc.).
- Develop infrastructure and application deployments using Infrastructure as Code (Terraform).
- Collaborate with product, architecture and delivery teams to translate business requirements into technical solutions.
- Monitor application and platform health, troubleshoot incidents and drive continuous improvement.
- Design and manage APIs throughout their lifecycle, including documentation, security, governance and analytics.
Key skills for this role:
- Hands-on experience with infrastructure-as-code tools (e.g. Terraform).
- Proficiency with AWS cloud tools and architecture, including deploying microservices using ECS, ECR and Fargate.
- Hands-on experience with Python.
- Hands-on experience with Docker.
- Strong analytical and problem-solving skills.
- Implementation of API security and access control (OAuth, API keys, JWT, etc.).
- Familiarity with API design patterns, best practices, and performance optimisation.
- Excellent collaboration and communication skills.
Sr. Python Developer (AWS infrastructure) in London employer: Cognizant Technology Solutions Corporation
Cognizant is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Manager in Intelligent Process Automation, you'll engage in high-profile transformation programmes while benefiting from a culture that prioritises consulting excellence and continuous learning. With clear career progression pathways, competitive compensation, and flexible hybrid working arrangements, Cognizant empowers its employees to grow and succeed in their careers.
Contact Details:
Cognizant Technology Solutions Corporation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Python Developer (AWS infrastructure) in London
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We think you need these skills to ace Sr. Python Developer (AWS infrastructure) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cognizant Technology Solutions Corporation.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cognizant Technology Solutions Corporation and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Cognizant Technology Solutions Corporation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cognizant Technology Solutions Corporation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
