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Join our DeviantArt team as a Senior DevOps Engineer and play a pivotal role in maintaining and architecting a robust infrastructure that powers one of the largest online art communities. You'll be at the forefront of ensuring our platform's high availability, performance, and security, handling over 1.5 billion monthly page views.

The DeviantArt DevOps Team is a very small remote team that performs all tasks normally inclusive of SRE/DevOps/Infrastructure Engineers, with a bit of networking, security, and database administration mixed in. We are responsible for the day-to-day management and implementation of large-scale, mission-critical production systems that run on a public cloud.

This role requires wearing a lot of hats, and is equal parts fun and challenging. In this role, you will:

Architect and maintain a highly available infrastructure with a focus on proactive and reactive DDOS mitigation, autoscaling, self-healing, site performance, and cost optimization

Participate in a 24/7 on-call rotation, responding swiftly to outages or performance issues, and focus on less urgent alerts during normal work hours

Maintain and develop a developer environment and CI/CD pipelines in parity with production systems, for seamless testing and release of changes

Automate infrastructure provisioning and management using configuration management tools, complete with tests and documentation

Optimize and support sharded MySQL databases for efficient and reliable data handling amidst growing data reads and writes

Regularly update system components to avoid security issues and ensure up-to-date technology

We take our work seriously, but we dont take ourselves too seriously! We enjoy designing and building systems using open source tools and industry standards, and are in the fortunate position to be able to make decisions as a team about adopting newer technologies, and redesigning our infrastructure when appropriate.

This role is on a fully remote and distributed team, and asynchronous communication within and across teams is crucial. To be successful in this role, a candidate will need to work flexibly, balancing server and service issues, needs from development teams, security needs, and shifting priorities in our own tasks in managing our infrastructure

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team