
Senior Engineering Lead
2 weeks ago
About Our Company We're an early-stage B2B SaaS business with a proven platform and big-name clients. We aim to build a sustainable, long-lasting company.
We're a hybrid team based in multiple locations. We value communication, open-mindedness, and a culture of feedback. All staff receive equity and increasing annual leave based on tenure.
The Role As a Senior Software Engineer, you'll drive efficiency across the organization. You'll lead the charge in applying cutting-edge technologies to revolutionise internal processes and automate the entire product delivery lifecycle.
This is a high-impact, highly visible role with significant ownership, offering the chance to shape not just our company culture but the future of how we deliver products.
Key Responsibilities:- Architect and deliver AI-powered solutions to automate workflows across the entire product delivery lifecycle.
- Own and evolve foundational shared infrastructure.
- Drive strategic internal process automation to eliminate toil and accelerate development cycles.
- Collaborate with cross-functional teams to develop impactful tooling solutions that transform how we work.
- Provide technical vision and leadership, fostering a culture of excellence and innovation.
You'll champion research and innovation in AI, software development, and DevOps, with a focus on applying new technologies to the product delivery lifecycle.
Success Metrics:- Developed a deep understanding of the entire product delivery lifecycle, identifying key areas ripe for automation and AI-driven transformation.
- Built strong relationships with Product, Engineering, and other stakeholders across the product delivery lifecycle.
- Delivered a robust Internal Tooling roadmap focused on delivering product value and internal automation.
- At least 1x major initiative delivered.
- Possess a passion for AI and automation, particularly agentic AI, and its application to the product delivery lifecycle.
- Expertise in cloud-native technologies, with GCP experience being a bonus.
- Strong DevOps foundation (CI/CD, infrastructure-as-code, monitoring).
- Proven technical leadership and mentorship skills.
- Exceptional communication skills.
- Experience with specific agentic AI frameworks.
- Contributions to open-source projects related to tooling, automation, or AI.
- Experience with data engineering and building data pipelines.
- Familiarity with low-code/no-code platforms for internal tooling.
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