The Role
Design and build AI-driven automation and internal tooling to replace manual workflows, improve reliability, and scale IT/platform operations. Implement APIs, event-driven services, and CI/CD; apply LLMs for decision support and incident analysis; maintain systems with testing, observability, and on-call participation while collaborating with Security, Compliance, and Platform teams.
Summary Generated by Built In
Why Join This Team
This role offers broad influence across internal applications, operational systems, and enterprise environments, with clear ownership and growing technical leadership over time.
Role Purpose
The purpose of this role is to replace manual, process heavy workflows with scalable automation and AI powered systems that improve reliability and efficiency across Technology teams.
Your Impact
- Design software-based automation and AI driven systems that improve efficiency, reliability, and scalability of IT and internal platforms.
- Build internal tools, services, and integrations using APIs, event driven systems, and CI/CD practices.
- Automate operational workflows using AI and LLM technologies to support decision making and incident analysis.
- Improve system reliability by turning incident trends and operational pain points into durable automation.
- Reduce recurring production and internal application issues through structured engineering solutions.
- Strengthen engineering standards across IT automation through version control, testing, documentation, and observability.
- Influence teams to adopt software engineering approaches instead of manual or ticket-based models.
- Maintain internal applications through participation in a business hour on call rotation and use operational insights to drive continuous improvement.
- Deliver solutions that meet governance, privacy, and reliability standards in collaboration with Security, Compliance, Platform, and Business Systems teams.
What You Bring
- 6 plus years of experience in software engineering, automation, platform engineering, or related roles.
- Strong foundation in software engineering principles including code quality, testing, and maintainability.
- Proficiency in Python, JavaScript, Go, or similar languages used for automation and internal tooling.
- Hands on experience building and operating production systems or internal tools.
- Demonstrated experience applying AI or LLM based solutions in real world production environments.
- Background in SRE, DevOps, Platform Engineering, or IT automation with experience operating systems at scale.
- Experience using AI assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar tools.
- Solid understanding of IT systems, enterprise environments, and service management processes.
- Experience participating in on call rotations and supporting production or internal applications.
- Strong communication skills with the ability to influence teams across different technical backgrounds.
Nice to Have
- Experience with cloud platforms such as AWS or enterprise productivity ecosystems such as Microsoft 365, including Power Automate and Graph APIs.
- Familiarity with infrastructure as code, CI/CD pipelines, or internal developer tooling.
- Exposure to identity and access management or zero trust networking solutions such as Twingate.
- Experience with monitoring, observability, logging, or operational data systems.
Why You’ll Love Working Here
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.
You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources and development opportunities to continue to build your capability over time.
About Appen
Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.
Top Skills
APIs
Ci/Cd
Claude Code
Cursor
Event-Driven Systems
Github Copilot
Go
JavaScript
Llm/Ai Technologies
Python
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The Company
What We Do
We help our clients enhance their best-in-class products and services around the world, including search engines, social media platforms, voice recognition systems, sentiment analysis, and eCommerce sites. All of that wouldn’t be possible without our team of more than 1 million flexible workers. The world of tech is moving fast, and we help our clients meet the ever-changing needs of their customers. We take pride in our diverse, international team and the flexible and full-time opportunities we offer.
