Job Description
Job Title: Senior Software Engineer
Designs, develops, and operates scalable backend systems and cloud infrastructure, with a focus on AI-powered applications and services. This role aligns with industry titles such as Senior Backend Engineer, Senior Platform Engineer, and AI Infrastructure Engineer.
Synopsis
Leads the development and operation of robust backend services and cloud-native infrastructure, enabling reliable, secure, and scalable AI-driven applications, while ensuring efficient CI/CD pipelines and system performance.
Responsibilities
- Design, develop, and maintain scalable backend systems and services.
- Build and manage cloud infrastructure, primarily on AWS, ensuring high availability and reliability.
- Develop and maintain APIs and microservices to support application and AI workloads.
- Implement and manage CI/CD pipelines to enable efficient and reliable software delivery.
- Optimize infrastructure for performance, scalability, and cost efficiency.
- Integrate LLM-based services and AI components into backend systems.
- Ensure system security, compliance, and best practices across infrastructure and applications.
- Monitor system health, troubleshoot issues, and ensure high system uptime.
- Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools.
- Collaborate with frontend, AI, and DevOps teams to deliver end-to-end solutions.
- Establish best practices for backend architecture, deployment, and infrastructure management.
- Stay up to date with emerging trends in cloud computing, DevOps, and AI infrastructure.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field.
- 4–7+ years of experience in backend development and cloud infrastructure.
- Strong proficiency in Python and experience building backend services.
- Hands-on experience with AWS services (e.g., EC2, Lambda, S3, RDS, ECS/EKS).
- Strong experience with REST APIs, microservices architecture, and distributed systems.
- Experience designing and managing CI/CD pipelines (e.g., GitHub Actions, Jenkins, or similar).
- Familiarity with containerization and orchestration tools (Docker/Kubernetes).
- Experience working with LLMs and integrating AI services into backend systems.
- Knowledge of Infrastructure as Code tools (e.g., Terraform, CloudFormation).
- Strong understanding of system reliability, monitoring, and observability practices.
- Solid understanding of security best practices in cloud and backend systems.
- Strong problem-solving skills and the ability to work independently in a fast-paced environment.
Nice to Have
- Experience with serverless architectures and event-driven systems.
- Familiarity with data pipelines and streaming technologies.
- Experience with vector databases and AI infrastructure components.
- Knowledge of cost optimization strategies in cloud environments.
- Exposure to MLOps practices and model deployment pipelines.
Persona
- Passionate about building scalable backend systems and cloud infrastructure
- Strong ownership mindset with leadership qualities
- Excellent communication and collaboration skills
- A proactive problem solver with a continuous learning attitude
Who We Are
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe every learning opportunity can lead to a personal breakthrough, and we are committed to making that possible through innovation and technology.
As the world’s lifelong learning company, we are continuously evolving how education is delivered, leveraging cutting-edge technologies, including AI, to create smarter, more personalized, and accessible learning experiences.
Joining our team means being part of a culture where learning isn’t just what we do, it’s who we are. You will have the opportunity to work on impactful solutions that reach millions of learners globally, while contributing to the next generation of AI-driven digital products.
Workplace Type
Hybrid
Employment Type
Full-Time
