Predictive Analytics

Senior DevOps Engineer (Remote)

Work Type: Full Time

Senior DevOps & MLOps Engineer @ Moody’s [IMMEDIATE FILL]

Do you have a healthy disregard for the status quo? 
Does scaling from zero to thousands get you excited?? Check this out..

We are in search of a self-motivated and versatile Senior DevOps & MLOps Engineer with the ability to work in an energetic and interactive environment. You must be a self-starter with a passion for crafting innovative software solutions. You will regularly learn and implement new technologies, and play an active role in developing, proving out, and (re)assessment of existing architectures.


  • Deployment and productionisation or machine learning model applications in production.
  • Design and develop reusable Terraform and Ansible modules.
  • Lead the team in various aspects around stability, application delivery, and availability .
  • Maintain a strong security awareness through frequent assessments and software architecture design processes.
  • Influence technology selection, software architecture design, security practices and implementation.


  • Extensive experience in DevOps engineering, team management, and collaboration.
  • Be ready, willing, and able to work in a fast-paced environment with a strong desire to run to trouble.
  • Proficiency in shell scripting, python, and HCL.
  • Knowledge and experience working with distributed systems.
  • Extensive knowledge & experience with git, linux system administration, docker, and databases including elasticsearch and/or Postgres and/or MySQL.
  • Kubernetes expert administrator with a security mindset.
  • Capable of orchestrating service delivery across over 20 distributed kubernetes clusters.
  • Extensive knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong communication and problem-solving skills with the ability to discuss projects with colleagues who have little technical knowledge of devops techniques and tools.
  • Ability to oversee and provide significant valuable input regarding infrastructure design and maintenance.


  1. Send us your resume, some deets on how you absolutely own kubernetes at scale, and a good joke (optional).
  2. Jump straight into a technical call with our Senior Systems Architect and maybe a lead or two for an hour or so.
  3. If you’re happy and we can change the ML landscape with our bare hands let’s talk about an offer!



We are a team that creates and delivers machine learning models and applications for the financial services industry. At a high level, an example initiative is that we ingest millions of news articles and other various data sources and process the data through pipelines to produce results such as entity recognition, sentiment analysis, credit adversity, and more.

Interested in machine learning? Take advantage of our growing team's collective knowledge and learn as you go. 
We fully embrace cross-training and continuous learning.

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