Senior Backend Engineer - Analytics

at  SafetyCulture

SENIOR BACKEND ENGINEER - ANALYTICS

Sydney
Engineering – Customer Facing Engineering /
Full-time Permanent /
Hybrid
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At SafetyCulture, we help businesses get better everyday. As the operational heartbeat of working teams, our technology gives workers a voice and leaders the visibility to make smart decisions. We’re constantly evolving our platform, expanding into sensors/IoT, Scalable and Event-Driven Architecture to name a few, but we believe there’s more to be done.
Recently valued at AU$2.7Bn, we’re investing our resources into creating and shaping a better workplace for all. We are growing fast and looking for talented, self-motivated people that value collaboration, growth and learning to join our team.
The tech stack
We use a modern technology stack including React.js; Go; Swift/Kotlin; AWS/Kafka/Kubernetes.
The role
As a Senior Software Engineer, you’ll be empowered to manage complex architectural decisions and drive change. You’ll own the delivery of practical solutions to solve real-world problems for customers, with the knowledge that what you build has an immediate positive impact.
You’ll face exciting technical challenges as we scale, and be an integral part of the engineering team. High-performing teams here own their services, and you’re trusted to build and run a system that serves hundreds of thousands of users while transforming it into a system that will serve millions of users in the near future. We empower engineers to learn new skills and use technology to solve customer problems, including initiatives in IoT, machine learning, and event-driven architecture.
How you can have an impact
Be recognised as an expert in relevant technologies to the role, and have influence over the direction of the team and function. Improve others’ ability to deliver great work and drive initiatives focused on release-safety, repeatability, and improving the way we do things. Mentor colleagues, actively engage in building a culture of candid feedback, and help the engineering teams give and receive constructive feedback. We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies.
The teams
As part of our Engineering department, you’ll join a cross-functional team, and work alongside a co-located manager, product manager, and designer. You’ll have direct access to customers, and support from specialists in quality, SRE and specific technologies. Check out some of the things we’ve been doing in our blog.
The customer-facing Analytics team sits across all the major products within SafetyCulture. Their mission is to empower SafetyCulture users to identify improvement opportunities, primarily by allowing them to see the data they want. Their projects include everything from ingesting large datasets, modeling and tuning the data, and providing rich (and customisable) visualizations in the form of dashboards and charts to users. Our vision is to make it easier for customers to not only configure rich and beautiful Analytics dashboards, but to also provide them with insights, anomalies, and intelligent next-best actions to take.

ESSENTIAL SKILLS

• Depth of knowledge in a back end coding language and associated libraries/frameworks
• Depth of knowledge in architecture, particularly SaaS
• Ability to own delivery of complex features, break down requirements and provide reasonable estimates
• Ability to articulate effort vs impact tradeoffs
• Ability to improve others’ ability to deliver great work
• Ability to demonstrate SafetyCulture values (Think Customer, Open Honest Always, Better as a Team, Be Bold Bring Action)

DESIRABLE SKILLS

• Breadth of knowledge of a variety of platforms and approaches
• Depth of knowledge in how large-scale data-systems and datastores work
• Experience with back end infrastructure (e.g. AWS, infrastructure as code, event-based architectures, map-reduce, etc)
• Working with service-oriented/microservice architectures
• Experience with analytics workloads, build pipelines and tooling, particularly around large-scale data ingestion and aggregation
• Experience with key/value stores, relational databases (e.g. DynamoDB, Postgres, MySQL)
• Building and running SaaS or cloud services at scale

Please refer the Job description for details