Senior MLOps Engineer

Promote Project; Tampa (FL); Remote; USD 110,000 - 180,000; Full time

Job summary

An innovative firm seeks a Senior MLOps Engineer to join a passionate team dedicated to building a cutting-edge real-time data platform for the Department of Defense. This role involves deploying ML infrastructure and developing MLOps pipelines to support critical operations. You will work with a talented group of professionals, leveraging technologies like Docker, Kubernetes, and AWS to process vast amounts of data with millisecond-level latency. If you are a problem-solver with a strong background in machine learning and cloud applications, this opportunity offers a chance to make a significant impact while enjoying a flexible work environment and competitive benefits.

Benefits

Fully covered healthcare, dental, and vision coverage

401(k) and company match

Take as you need PTO + 11 paid holidays

Monthly box of snacks

Remote, hybrid, and flexible work options

Qualifications

• 4+ years of hands-on experience in MLOps and cloud applications.
• Strong skills in Docker, Kubernetes, and CI/CD practices.

Responsibilities

• Deploy ML infrastructure and build MLOps pipelines for real-time data platforms.
• Collaborate with a team to enhance operational awareness using advanced data systems.

Skills

MLOps

Docker

Kubernetes

AWS

Python

Machine Learning

CI/CD

Terraform

Helm Charts

Problem-solving

Education

Bachelor's Degree in Computer Science or related field

Tools

Git

Kafka

Scala

Pinot

Job description

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Senior MLOps Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building a real-time data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical events, including instances like the Chinese balloon and Cessna over the White House incidents. Central to this data platform is the aggregation of real-time data from over 750 sensors. This data is subsequently enriched, rendered queryable, and ultimately presented as a common operational picture to empower operators in making time-critical and pertinent decisions. Our system efficiently handles the processing of over a billion events daily, all achieved with millisecond-level latency. Key technologies include Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. Your involvement in this role will encompass hands-on collaboration with a team of accomplished individuals, collectively striving towards excellence. Your primary responsibilities will be to deploy ML infrastructure, build MLOps pipelines, and contribute to the development of a full-lifecycle ML platform.

What we are looking for:

• 4+ years of relevant hands-on experience
• 3+ years' experience with Docker and Kubernetes, provisioning production clusters and maintaining their compliance.
• 3+ years experience supporting enterprise Cloud applications or infrastructure (AWS, Azure, etc.)
• Solid understanding of Helm Charts
• Practical experience with Machine Learning on Kubernetes
• Experience managing clusters with GPU machines
• Practical programming and scripting skills (Python preferred)
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail.
• Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps
• Ability to obtain a Security+ certification within the first 90 days of employment with Raft

Highly preferred:

• Currently Cleared or a Clearance in the past
• Knowledge of Istio
• Experience building and maintaining machine learning platforms
• Comfortable provisioning and debugging complex CI/CD pipelines
• Prior experience with Terraform

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance

Work Type:

• Remote (Local to Tampa, FL is highly preferred)
• May require up to 30% travel

Salary Range:

• $110,000 - $180,000
• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems.

Raft’s core philosophy is Ubuntu: I Am, Because We Are. We support our “nadi” by elevating the other Rafters. We work as a hyper-collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity.

Job type:

Remote job

Tags:

• design
• system
• training
• docker
• support
• software
• cloud
• senior
• operational
• engineer
• engineering
• digital nomad