Senior Engineer, Developer Experience

Cover Genius; Sydney; Hybrid; AUD 140.000 - 210.000; Vollzeit

Zusammenfassung

Cover Genius is hiring a Senior Engineer on the Developer Experience team to shape the tools, platforms and processes that let engineers move fast with confidence and security. You will lead the design of the “golden path”, gather requirements from developers, and mentor other engineers.

Collaborating with Product, Infrastructure and Security, you will own the developer feedback loop, build AI-enabled workflows across the SDLC, and drive a measurable increase in developer productivity in our

Qualifikationen

• 5+ years of professional software engineering, platform engineering or DevOps experience, with a track record of designing, shipping and operating internal platforms or tooling used by other engineers.
• Deep experience building and optimising CI/CD with tools such as GitLab CI, ArgoCD or Argo Workflows, including pipeline performance and release safety at scale.
• Strong programming and scripting skills (e.g. Python, Go, TypeScript, Bash) for building internal tooling and automation.
• Demonstrated experience building agentic AI systems that automate complex workflows.
• Hands-on experience with containers, Kubernetes delivery and infrastructure as code (Terraform).
• Familiarity with developer portals, service catalogs (Backstage) and developer-productivity metrics (DORA, SPACE).
• Bachelor's degree in a relevant field.

Aufgaben

• Lead the golden path: design and evolve shared libraries, base images, CI/CD templates and Helm charts.
• Own the developer feedback loop: run interviews, track DORA and SPACE metrics, and define a data-driven roadmap.
• Build agentic AI workflows across the SDLC: design autonomous multi-agent code review and test generation tools.
• Build automation and internal tooling to shorten the develop-build-test iteration loop.
• Own and manage developer-centric tools and vendors: source control, registries, documentation platforms and AI services.
• Embed security into the SDLC: integrate SAST, DAST, SCA into pipelines with Security.
• Mentor and raise the bar: review designs and code, and drive adoption through documentation and training.

Kenntnisse

Software engineering

Platform engineering

DevOps

GitLab CI

ArgoCD

Argo Workflows

Python

Go

TypeScript

Bash

Agentic AI

Docker

Kubernetes

Helm

Kustomize

Terraform

Backstage

DORA metrics

SPACE metrics

Ausbildung

Bachelor's degree in a relevant field

Tools

GitLab CI

ArgoCD

Argo Workflows

Python

Go

TypeScript

Bash

Docker

Kubernetes

Helm

Kustomize

Terraform

Backstage

Jobbeschreibung

About The Company

Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales.

About The Company

Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales. Coming off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the fast-growing $70B embedded protection market.

Our people are:

Accountable, customer-obsessed, collaborative, driven

Our people are not:

Passive, defensive, siloed, hesitant

About The Role

As a Senior Engineer on our Developer Experience team, you will help own the technical direction of the tools, platforms and processes that let our engineers build with speed, confidence and security. To drive success in this role, you will bring a customer-oriented mindset, deep software engineering and/or platform engineering experience, and the judgement to decide which developer problems are worth solving. You will lead the design of our "golden path", gather requirements from developers, build the data foundation to measure impact of devex work (e.g. DORA and developer satisfaction) and mentor other engineers on the team. Regular collaboration with product engineering teams, Infrastructure and Security will be key to making sure every engineer can do their best work.

Key Responsibilities

• Lead the golden path: design and evolve shared libraries (e.g. logging, SSO), base images (Python, Node, PHP), CI/CD templates and application Helm charts, in partnership with Infrastructure, making the secure, well-tested way the easy way.
• Own the developer feedback loop: run developer interviews and surveys, track DORA and SPACE metrics, and turn the data into a prioritised, high-impact roadmap.
• Build agentic AI workflows across the SDLC: design and ship autonomous multi-agent systems for automated code review, intelligent test generation and context gathering, moving beyond standard code-completion tools.
• Build automation and internal tooling: remove toil and shorten the develop-build-test iteration loop, including CI reliability and speed.
• Own and manage developer-centric tools and vendors: source control, artifact registries, documentation platforms, AI development platforms and the central service catalog.
• Embed security into the SDLC: build SAST, DAST, SCA and supply chain controls into pipelines, in partnership with the Security team.
• Mentor and raise the bar: guide other DevEx engineers, review designs and code, and drive adoption through documentation, training and clear communication.

Skills & Experience

What you will have

• 5+ years of professional software engineering, platform engineering or DevOps experience, with a track record of designing, shipping and operating internal platforms or tooling used by other engineers.
• Deep experience building and optimising CI/CD with tools such as GitLab CI, ArgoCD or Argo Workflows, including pipeline performance and release safety at scale.
• Strong programming and scripting skills (e.g. Python, Go, TypeScript, Bash) for building internal tooling and automation.
• Demonstrated experience building agentic AI systems that automate complex, non-linear workflows (e.g. multi-agent code review, test generation or issue triage), alongside day-to-day fluency with AI coding tools (e.g. Claude Code, Cursor) and a clear view of their risks, costs and guardrails.
• Hands‑on experience with containers, Kubernetes delivery (Docker, Helm, Kustomize) and infrastructure as code (e.g. Terraform). You will enable developers to use our clusters well, not run them.
• Familiarity with developer portals, service catalogs (e.g. Backstage) and developer‑productivity metrics (DORA, SPACE).
• Bachelor's degree in a relevant field. A postgraduate degree and/or record of academic achievement is also desirable.

What you will bring

• A customer‑centric, product mindset: a genuine interest in making other engineers’ work easier, and the discipline to validate problems first and measure the outcome afterwards.
• Pragmatic technical judgement: you turn ambiguity into clear designs, prioritise high‑impact, low‑effort wins, balance speed with quality and security, and explain the why behind your decisions.
• A collaborative, influential approach: you earn trust across Infrastructure, Security and product teams through evidence and clear communication rather than mandate, and you enjoy helping others level up.
• A strong sense of accountability: you take responsibility for outcomes end‑to‑end, follow through on commitments, and are transparent when plans change.
• Curiosity and an AI‑first mindset: you use AI tools every day, stay curious about fast‑moving capabilities, and share what works so the whole team gets more leverage.

Why Cover Genius?

At Cover Genius, We Create Magic By Turning The Archaic Into The Extraordinary. We Take One Of The World’s Oldest And Most Complex Industries And Reinvent It With World‑class Technology. Cover Genius Doesn’t Just Disrupt Legacy Insurance; We Make The Impossible Feel Effortless. Our Operating Principles Guide Our Mission

• Make today matter: We deliver with urgency and excellence. We act decisively, move with intention, and hold a high bar.
• Act with accountability: We own our commitments and take pride in delivering results that move us forward.
• Grow together: We are a collective of curious minds. We learn from wins and setbacks, share knowledge generously, and elevate each other every day.
• Inspire Each Other: We push each other to think bigger and pull together to go further.
• Champion Our Customers: We lead with empathy and center the customer, turning complex disruptions into seamless moments of trust.
• Flexible Work Environment - Our teams are hybrid. We work from home on a Wednesday and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.

Don’t just take our word for it - hear about our culture straight from our people here: story time.

Ready to make an impact?

If you’re looking for a place where you’ll be challenged, trusted, and empowered, we’d love to meet you.

The Legal & Privacy Stuff

Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

By submitting your application, you acknowledge that we may collect, store, and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.