Senior Software Engineer (Java and AWS)

Job Description

Roles and Responsibilities:

• Have demonstrable experience leading and building scalable micro-services and event-driven applications.
• Can solve complex technical challenges from design through to production
• Address tech debt with a pragmatic, commercially focused approach
• Translate requirements into solid engineering deliverables
• Deliver reusable solutions used across teams and products
• Collaborate across teams and align technical decisions with business goals
• Expertise in observability and reliability practices, leveraging tools such as OpenTelemetry, Prometheus, Grafana and CloudWatch
• A solid understanding of security best practices, including Vault, AWS Secrets Manager and certificate management
• Experience with testing methodologies (TDD, BDD) and automation frameworks
• Ability to design and implement data-intensive applications and scalable architectures (API, microservices, event-driven, serverless)
• Knowledge of deployment strategies and SRE principles
• Interest or experience in AI/ML technologies and emerging tools

Your Skills and Experience

• Programming:  Java, TypeScript and JavaScript (Node.js) ,Springboot building scalable, high-performance services.
• Frameworks & Platforms: . Java,React (TypeScript), Springboot  EE for RESTful APIs and enterprise applications.
• Architecture: Microservices, Domain-Driven Design (DDD), event-driven systems using RabbitMQ and/or Apache Kafka.
• Databases: SQL Server, PostgreSQL, and/or other relational/NoSQL databases – e.g., PostgreSQL and DynamoDB
• Cloud (AWS): EC2, Lambda, ECS/Fargate, RDS, DynamoDB, CloudFormation, CDK, CodePipeline, CodeBuild, CloudWatch.
• CI/CD: TeamCity, Octopus Deploy, GitHub & GitHub Actions.
• Containers: Kubernetes and Docker.
• Infrastructure as Code: Terraform, CloudFormation, Ansible.
• Quality Engineering: Strong advocate for automated testing and quality-driven delivery.
• You also bring (or are keen to grow) front-end engineering capability, with skills in TypeScript, React, and Next.js, highly regarded across our full-stack engineering practice and a key differentiator for delivering seamless end-to-end customer and developer experiences.
• AI & Chatbot Integration: Exposure to building AI-driven support tools, such as integrating with LLMs/ChatGPT for developer support.
• Knowledge of the Model Context Protocol (MCP) server concept or similar ChatGPT plugin development is a plus, as this squad owns an AI ChatBot for developer enablement.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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