Software Engineer (Microsoft 365 & Azure)
Job Summary
Job Description
- Azure experience
- Experience with Kubernetes, Docker and infrastructure based technologies
- Experience with developing collaboration tooling
- Power Automate knowledge & integration with M365 suite
- Strong communication skills
- 2+ years of Scrum delivery model experience
- In depth experience of Git, JIRA, GitLab
- Excellent end-to-end SDLC process understanding
- Proven track record of delivering complex web apps
- Understanding of design principles for scalable applications and RESTful Services
- Fluent in English both written and spoken
- Passionate about development, focus on web architecture
- Analytical and logical
- Team player, comfortable working with lead developer
- Excellent communicator, adept in handling ambiguity
- Comfortable with working in cross-functional global teams
- 2+ years JavaScript, TypeScript experience
- PowerBI knowledge
- Knowledge of performance testing frameworks
- Knowledge and experience of Data Science and tools
- Knowledge of RDF based Graph Database solutions
- Programming in Python and familiarity with Machine Learning algorithms
- Familiarity with data retrieval with SQL and Oracle
Job Details
Project description
You'll be working in the Technology Services GCTO EA Team. Technology Services is a group-wide function which provides integrated and secure infrastructure services for company by offering best fit, easy to leverage, reliable and cost-effective technology services and strategic products which provide functionality, strategic insights and expertise across all business groups globally.
As a Software engineer focused on Microsoft 365 & Azure Collaboration Solutions, you will join an existing team in the EA Team in Group CTO supporting our strategic initiatives across the bank.
Responsibilities
Help Group Enterprise Architecture team to develop our Azure based applications and tooling
Design and develop custom collaboration tools and integrations using Microsoft 365 services (e.g., SharePoint, Teams, Outlook, OneDrive, Power Platform).
Build and deploy cloud-native applications using Azure services such as Azure Functions, Logic Apps, Azure AD, and Azure DevOps.
Create and maintain APIs and connectors to integrate Microsoft 365 with third-party systems.
Collaborate with cross-functional teams including product managers, UX designers, and QA engineers to deliver high-quality solutions.
Monitor system performance and troubleshoot issues to ensure optimal uptime and availability.
Collaborate with development teams to optimize application performance and reliability.
Produce clear and commented code
Produce clear and comprehensive documentation
Play an active role with technology support teams and ensure deliverables are completed or escalated on time
Provide support on any related presentations, communications, and trainings
Skills
Must have
Azure experience
Hands on experience working with Kubernetes, Docker and other infrastructure based technologies.
Experience with developing collaboration tooling
Power Automate knowledge & integration with M365 suite
Has strong communication skills
2+ years of experience in a Scrum delivery model
In depth experience of Git, JIRA, GitLab
Excellent end-to-end SDLC process understanding.
Proven track record of delivering complex web apps on tight timelines
Understanding of fundamental design principles behind a scalable application and familiarity with RESTful Services.
Fluent in English both written and spoken.
Passionate about development with focus on web architecture and design
Analytical and logical
A team player, comfortable working with a lead developer and architects for the program
An excellent communicator who is adept in, handling ambiguity and communicating with both technical and non-technical audiences
Comfortable with working in cross-functional global teams to effect change
Nice to have
2+ years JavaScript, TypeScript experience
PowerBI knowledge
Knowledge of performance testing frameworks including Fortify, SonarQube, Mocha and Jest
Knowledge and experience of Data Science and common tools
Knowledge of RDF based Graph Database solutions e.g. GraphDB, Anzo
Programming in Python and familiarity with Machine Learning algorithms
Familiarity with data retrieval with SQL and Oracle
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