Senior Software Engineer

Apex Systems

Greater London

On-site

GBP 120,000 - 160,000

Full time

5 days ago
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Job summary

Apex Systems — Prime Video Edge Platform team in London seeks an experienced SDE (contractor) to design and build features for the remote MCP platform at scale.

You will work on AWS-native services, on-call rotations, and operational excellence, contributing to high-throughput, low-latency systems and reliable deployments in a distributed cloud environment.

Qualifications

  • Proficiency with Java, Kotlin and TypeScript.
  • Experience designing and building distributed systems or backend services.
  • Experience with cloud infrastructure (AWS — e.g., EC2, NLB, ElastiCache, Lambda, DynamoDB).
  • Experience with infrastructure-as-code (AWS CDK).
  • Strong understanding of networking fundamentals (DNS, HTTP/TLS, load balancing).
  • Experience operating and maintaining production software, including monitoring, alarming, and incident response.
  • Linux/UNIX proficiency (command-line tools, shell scripting).

Responsibilities

  • Design, build, and extend features to the remote MCP platform to accelerate Prime Video teams.
  • Work on Operational Efficiency and maintaining availability and security.
  • Participate in on-call rotations and operational excellence practices

Skills

Java
Kotlin
TypeScript
Distributed systems design
Linux/UNIX proficiency
Networking fundamentals
Cloud infrastructure

Tools

AWS CDK

Job description

  • Top Must-Haves: Java, Kotlin and TypeScript
Job Description

We are hiring an L5 Software Development Engineer (contractor) in London to join the Prime Video Edge Platform team.

The Edge Control team accelerates builders by centralising undifferentiated effort, providing a suite of capabilities to safely control and configure Prime Video clients. We ensure client interactions with Prime Video's global infrastructure are reliable, cost-efficient, measurable, and fast. Our services enable safe management and release of client configurations, delivery of push notifications, and power the end-to-end observability and intelligent client-driven traffic routing with automated failover capabilities. We accelerate teams across Prime Video in deploying native AI solutions through providing a remote platform to rapidly and reliably host remote MCP tools.

You will work within the Edge Control team to build and operate mission-critical services using AWS-native technologies at scale.

What You’ll Do
  • Design, build, and extend features to the remote MCP platform to accelerate Prime Video teams
  • Work on Operational Efficiency and maintaining availability and security
  • Participate in on-call rotations and operational excellence practices
Basic Qualifications
  • Proficiency with Java, Kotlin and TypeScript
  • Experience designing and building distributed systems or backend services
  • Experience with cloud infrastructure (AWS — e.g., Ec2, NLB, ElastiCache, Lambda, DynamoDB)
  • Experience with infrastructure-as-code (AWS CDK)
  • Strong understanding of networking fundamentals (DNS, HTTP/TLS, load balancing)
  • Experience operating and maintaining production software, including monitoring, alarming, and incident response
  • Linux/UNIX proficiency (command-line tools, shell scripting)
Preferred Qualifications
  • Experience with high-throughput, low-latency systems at scale
  • Advanced coding skills including concurrency, profiling, and performance optimisation
  • Experience with CI/CD pipelines and deployment automation
  • Experience with security at the network edge (DDoS protection, authentication protocols, TLS termination)
  • Demonstrated best-practice software engineering: unit testing, code reviews, refactoring, continuous deployment
  • Responsibly leverages AI, using it effectively for high productivity without compromising availability or OE burden
  • Owns and delivers medium-complexity features independently with minimal guidance
  • Writes high-quality code and uses Agents to write high quality code and participates actively in code reviews
  • Operates effectively in ambiguous situations and asks the right questions to unblock themselves
  • Contributes to operational excellence — dashboards, runbooks, alarm tuning
  • Communicates clearly with the team on progress, blockers, and technical trade-offs
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