Software Engineer

Looking for a job that fits your life, anywhere in the world? 🤔 

Ever fancied a role where work molds around your life, no matter where around the globe you are? Welcome to Safeguard Global! We're all about making work fit into your world, wherever that may be.  

About us: 

At Safeguard Global, we're not your average company. Sure, we enable global expansion without the risk for over 1,500+ customers in nearly 190 countries, but what really makes us tick is giving you and 900+ Guardians the freedom to work in a way that suits your style, no matter the time zone in  50+ countries. 🌎 

Our “work in any way” approach means you can call your couch your office or a café halfway across the world your boardroom, all while still having room to do school runs and essential errands throughout your working day. 🤩

What we're after: 

As our Software Engineer, you will play a key role in designing, building, and enhancing the core user-facing capabilities owned by the Connected Experiences team, including the home page, mobile app, account setup, and permissions. This work is central to delivering a seamless and intuitive experience across Safeguard Global's products. 

We are evolving these areas into a modern, scalable, and event-driven platform built on AWS. This next phase focuses on strengthening backend services, improving system reliability, and enabling more responsive, user-centric functionality across all touchpoints. 

You will join a small, high-performing agile team responsible for building secure, scalable, and reliable backend systems that support critical user journeys and drive consistent, high-quality experiences for our customers. 

How you will make a difference:
 

Backend & Platform Engineering 

• Design and build scalable, event-driven backend services using AWS (Lambda, EventBridge, S3, etc.) 
• Develop and support APIs and data services that power analytics, integrations, and product features 
• Own services end-to-end, from design through to production monitoring and optimisation 

 
Event-Driven Data Systems 

• Build and evolve event-driven architectures using EventBridge, SNS/SQS, and serverless patterns 
• Ensure systems are resilient, idempotent, and capable of handling distributed data workflows 
• Drive best practices around event modelling and service decoupling 

 
Data Platform & Analytics 

• Collaborate closely with Data Engineering to design and evolve data models using dbt and modern data tooling 
• Build and support data pipelines and storage patterns across S3, Athena, and related AWS services 
• Enable high-quality, reconcilable datasets across domains such as worker, payroll, invoice, and usage 

 
Analytics & Reporting Enablement 

• Support and extend analytics capabilities using AWS QuickSight and embedded reporting 
• Enable scalable, secure, multi-tenant data access patterns including row-level security 
• Contribute to the evolution of self-service analytics and data exploration 

 
Quality, Reliability & Observability 

• Implement monitoring, alerting, and telemetry using CloudWatch and related tools 
• Define and support SLAs/SLOs around data freshness, pipeline reliability, and API performance 
• Build robust automated testing and CI/CD pipelines 

 
Security & Compliance 

• Design systems with strong access control, auditing, and data protection practices 
• Work with sensitive HR and financial data in a secure, compliant manner 

 
Engineering Excellence 

• Contribute to architecture, design reviews, and technical strategy 
• Promote best practices in backend engineering, serverless design, and data systems 
• Mentor others and raise the overall engineering bar 
   

What will give you an advantage:   

• A proven ability to design, build, and own backend or platform systems that scale
• Strong experience with JavaScript/TypeScript (Node.js preferred) 
• Deep experience with AWS, particularly: Lambda, S3, EventBridge (or SNS/SQS)
• Infrastructure as Code (CDK/Terraform/SST) 
• API Gateway, CloudWatch 
• Proven experience building event-driven, serverless architectures 
• Strong SQL skills and experience working with analytical/data workloads 
• Experience designing and building scalable APIs and backend services 
• Solid understanding of distributed systems, data consistency, and reliability patterns 
• Experience working with modern data stacks (e.g., dbt, Athena, Glue, data lakes) 
• Familiarity with data modelling and transforming datasets for analytics use cases 
• Experience supporting BI tools such as QuickSight (or similar) 
• Experience with CI/CD, automated testing, and production observability 
• Comfortable working in agile, iterative environments with strong ownership 
• Excellent communication skills

Nice to have:

• Experience with dbt and analytics engineering workflows 
• Hands-on experience with AWS QuickSight (or similar BI tools) 
• Experience in multi-tenant SaaS environments 
• Exposure to frontend technologies (React / Next.js)