Software Engineering Specialist

About the role

Voice has always been a key part of our business and the transition to IP based solutions has opened up opportunities for changing how everyone interacts with their services. Global Voice allows BT to capitalise on its global network presence to provide voice services such as SIP trunking, inbound contact centre services, and connectivity to UC platforms, serving major global corporations. Global Voice is currently going through a major revamp of the network to provide a fully end to end IP network built for the future.
Joining as a software engineer will give you the opportunity to be a part of a diverse team, building the services, applications and network of tomorrow. You will get to be involved in the end-to-end journey of delivering apps into the new network, from design, planning, development, testing, deployment.
You’ll be using your skills to provide the best solution for our customers to remain connected with each other.

What you’ll be doing

•    Writing code for a variety of applications, from large scale applications with hundreds of features to dedicated purpose microservices, with a variety of languages, frameworks and tools.
•    Writing highly reliable and performant code, to be used by services with requirements for high availability and throughput.
•    Writing code with best practice and conforming to widely accepted design principles.
•    Understanding high level requirements presented by network/application designers to implement new features, enhance existing features for product/customer demand, regulatory compliance, service/vendor integration, etc.
•    Breaking down high level requirements into low level implementation detail, ready for development, such as defining features, signalling sequence, documenting detail, defining data model.
•    Writing test cases for automated test suites, to verify that code that you’ve written/other people have written works well, and integrates with other code, applications.
•    Identifying gaps in test coverage and filling the gap.
•    Reviewing other people’s code to ensure that a high quality of code, best practices and knowledge is shared in the team.
•    Spreading knowledge about your work, latest developments in the industry, modern technology, languages, security, best practices, etc.
•    Constantly trying to understand detail, such as existing code, features, data model, application requirements, customer use cases.
•    Identifying potential issues in code and how to resolve these before they cause real issues affecting customers.
•    Analysing issues raised by Site Reliability Engineers, inspecting logs, signalling sequences, data configuration, identifying how to resolve issues.
•    Identifying potential performance bottlenecks and how to remove these. 

Essential Skills / Experience

•    In depth knowledge of Java language, principles and design patterns, including concepts from Java 8, e.g. lambdas, streams and modern Java.
•    Strong understanding of paradigms: Object Oriented, Functional, Event Driven Programming
•    Understanding of Java frameworks, e.g. JAIN SLEE, Spring Boot, Spring WebFlux, etc.
•    Strong interest in modern programming languages/frameworks, e.g. GoLang, Rust, Kotlin, node.js etc.
•    RDBMS systems e.g. MySQL, Postgres, and no-SQL systems e.g. Redis, Cassandra.
•    Message brokers, e.g. Kafka
•    Service discovery, e.g. Consul
•    Client-Server protocols: HTTP
•    API architectures: REST, GraphQL, gRPC, etc.
•    Transport protocols: UDP, TCP, TLS
•    Java Build frameworks, e.g. Maven, Ant.
•    CI/CD frameworks, e.g. Gitlab CI/CD, Jenkins, Azure Devops.
•    Basic understanding of JVM, including GC implementations, e.g. CMS, ParNew, G1, and performance tuning.
•    Good understanding of Linux OS environment, command line, tools, user management, networking, with hands on experience.
•    Scripting, e.g. Bash, Python.
•    Virtualisation, containerisation, cloud frameworks, e.g. VirtualBox, Docker, Azure, Kubernetes.
•    Git for code management.
•    Infrastructure as code frameworks, e.g. Ansible, Terraform.
•    Jira, Agile, Scrum
•    Documentation, e.g. Markdown, AsciiDoc, Antora