Principal Software Engineer, CloudFactory
+ Quarterly variable compensation
Workforce solutions for AI
Be an early applicant
Workforce solutions for AI
1001+ employees
Be an early applicant
+ Quarterly variable compensation
1001+ employees
Company mission
To integrate technology and human expertise, and uniquely enable companies to transform using AI.
Role
Who you are
- 7+ years of experience designing, building, and operating complex, distributed software systems at scale
- Deep mastery of Go (Golang), with a track record of setting technical standards for idiomatic, concurrent, and performant code across teams
- Expert-level cloud-native proficiency (Kubernetes, Terraform/CloudFormation), with experience setting standards at an organizational level
- Deep expertise navigating AWS or GCP managed services, networking, and cloud security at scale
- Strong track record in distributed systems architecture, including microservices, asynchronous messaging, and data consistency, across multiple teams or systems
- Extensive experience with CI/CD automation and observability stacks (e.g., New Relic, Prometheus, or ELK), including setting organization-wide practices
- Proven ability to lead complex client-facing technical conversations and translate roadmaps for non-technical stakeholders
- Strong track record mentoring senior engineers and shaping engineering culture across teams
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Desirable
- Experience working with LLMs, prompt engineering, model evaluation pipelines, and techniques for improving model quality and reliability
What the job involves
- As a Lead Software Engineer, you will set the technical direction for our cloud-native platform across multiple teams, ensuring our most critical systems are reliable, secure, and built to scale
- You will partner with Product, engineering leadership, and clients to shape architectural strategy, resolve the highest-stakes technical trade-offs, and mentor senior engineers across the organization
- This is a high-impact opportunity to shape CloudFactory's technical future while contributing to a mission-driven organization
- Set technical direction and design standards for distributed, cloud-native systems across multiple teams, not just a single service
- Own the reliability, performance, and security posture of the most critical production systems, primarily in Go, at organizational scale
- Drive the evolution of CI/CD, Kubernetes, and infrastructure-as-code practices across the wider engineering organization
- Define and uphold organization-wide standards for reliability, security, and observability
- Lead high-stakes architectural decisions and technical debt strategy that shape multi-quarter roadmaps
- Serve as the senior technical voice in complex client engagements, designing solutions and proofs-of-concept for the most demanding integrations
- Mentor senior and mid-level engineers across teams, elevating engineering practice through code reviews, design docs, and organization-wide technical guidance
- Our current tech stack includes
- Frontend: JavaScript, React, TypeScript
- Backend: Go, Python, Ruby on Rails
- Databases: DynamoDB, DocumentDB, and Postgres
- Deployment: GitHub Actions
- Observability: New Relic, Grafana
- Infrastructure: AWS services, GCP, Azure
Our take
AI and machine learning continue to advance, yet many AI disruptors lack the ability to process and label the voluminous amount of data required to feed complex AI and machine learning algorithms. CloudFactory’s WorkStreams combine people and technology to deliver high-quality data to meet the needs of businesses of all sizes.
CloudFactory sets itself apart by creating economic and leadership opportunities for talented people in developing nations. Delivery centres in Nepal and Kenya have become anchors within their communities, which drive economic and social impact. CloudFactory processes millions of tasks a day for companies including Microsoft, GoSpotCheck, Hummingbird Technologies, Ibotta, and Luminar.
The company is poised for tremendous growth across many industry verticals where AI technology continues to grow rapidly. Moving forward, Cloudfactory is focusing on scaling operations whilst continuing to deliver high-quality data work for its global customers. To do so, it is planning to invest in workforce development, global market awareness and technology advancement. Regarding the latter, CloudFactory launched Accelerated Annotation in 2023, an AI-powered annotation tool that maximises efficiency, exemplifying its continued forward movement in product development.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Nov 2019
$65m
EARLY VC
May 2017
$7.3m
SERIES B
Total funding: $78m
Leadership
Mark Sears
(Founder & Executive Chairman)Mark is also the Founder of Sprout AI Studio where they serve as the CEO and co-founder of CC.
Kevin Johnston
(CEO)Prior to joining CloudFactory in 2023, Kevin spent 3 years at AgileThought as CRO and COO. Before that, they spent 3 years at DXC Technology as a Chief Sales & Revenue Officer.
Karen Cambray
(CFO)Prior to joining CloudFactory in 2024, Karen was the CFO at Invaluable and Cartera Commerce. They also spent over 5 years at Tamr as the CFO & COO.
David Hadsell
(CRO)David is also the Founder of May River Advisory and is a Member of the Board of Advisors at Catalyst Solutions. Previously, they were an Executive VP at Gainwell Technologies as well as a VP of Global Healthcare at DXC Technology.
James Haring
(COO)Prior to joining CloudFactory in 2024, James was a Chief Information Officer of Innovation & Transformation at MV Transportation. They also spent 11 years at Hewlett Packard Enterprise in various VP roles.
Ajai Sharma
(Chief Product & Technology Officer)Ajai previously co-founded Holomorphic AI Labs where they served as the CEO for nearly 3 years. Before that, they were the Head of Product (Deep Learning SageMaker) at Amazon Web Services and an Expert in AI/Deep Learning Product at McKinsey & Company.
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