Bloomberg
Law/Tax/Gov delivers AI-powered tools that integrate premium editorial content,
billions of documents and data points into the workflows of legal, tax,
accounting and government professionals. Our goal is to become an indispensable
tool for our clients by supporting their day-to-day tasks and providing
solutions that help them get real-time answers and better serve their clients
and needs.The
AI/Cloud Infra team is part of BLAW/BTAX/BGOV Platform Engineering group that
provides and supports platform solutions, workflows and tools to accelerate
product development. Our team focuses on building cloud native solutions and
AI/ML platform infrastructure and tools to deploy and operate BLAW/BTAX/BGOV
products at scale on public cloud (AWS) environments.What's
in it for youAs
an AI/Cloud Infra Engineer, you will design and build reliable and scalable
foundational cloud and AI infrastructure to run diverse workloads on AWS for
BLAW, BTAX and BGOV products. For application software workloads, you will
standardize and implement core architectural patterns including
Kubernetes-as-a-Service platform (using EKS) to deploy and manage containerized
and serverless applications. For machine learning workloads, you will create
infrastructure solutions for various MLOps pipelines leveraging AWS (Sagemaker)
and cloud data platform technologies. A right combination of AWS
well-architected principles and familiarity with machine learning development
lifecycle (MDLC) is fundamental to develop high-quality solutions in the team.
You will collaborate with application developers, data and machine learning
engineers to deliver end-to-end Platform solutions. Our culture of diversity,
intellectual curiosity, methodical problem solving and openness in a blameless
environment are keys to our success. A good fit for our team is a person who is
self-motivated, proactive, a good collaborator and comfortable with ambiguity.We'll
trust you to:-
Build highly available and scalable Kubernetes-as-a-Service as part of the
Platform-as-a-Service framework for BLAW/BTAX/BGOV on AWS.-
Implement automation using Infrastructure-as-Code solutions (Terraform).-
Create MLOps pipelines and infrastructure to streamline workflows for
deployment and monitoring of ML models.-
Work alongside application, data and machine learning engineers as they develop
applications on your infrastructure.-
Create innovative ideas and implement them with effective collaboration and
communication.You
need to have:
5Years of Experience in developing code in at least one high-level programming
languages (Python, Java, Ruby, Go or C/C)
-
3+ Years of Experience with building scalable AWS architecture as well as working
on highly available, fault-tolerant distributed systems
Bachelors in Computer Science, Engineering,
Mathematics, similar field of study or equivalent work experience
We'd
love to see:-
Prior experience in developing Internal Developer Platforms (IDP) or other
Platform Engineering tools.-
Understanding of Linux operating systems and networking.-
Experience with Kubernetes/docker/containers-
Knowledge of machine learning development life cycle, frameworks and MLOps
workflows-
Collaborate with diverse teamsBloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amerrecruit@bloomberg.net