Senior MLOps Engineer

Region: LATAM and EMEA

Country: Poland, Croatia, Costa Rica, Argentina, Colombia, Mexico, Brazil, and Portugal

Type: Fully remote

What's the Project?

Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.

We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.

Opportunity for impact

Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation.

Position Overview

The Senior MLOps Engineer is an IC role that designs, automates, and operates the end-to-end ML/LLM production lifecycle by promoting and implementing MLOps practices. You will design cloud native infrastructure and build the CI/CD and IaC backbone for data, model, and inference workflows; build reusable testing and evaluation frameworks, harden runtime environments; implement safe release/rollback; and drive observability and cost efficiency at scale on AWS and Databricks.

You’re a perfect match if you have:

Minimum Qualifications:

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field and 3+ years of relevant experience as outlined in the essential duties; or High School Diploma/General Education Degree and 6+ years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree.
3+ years operating ML systems in production (MLOps).
Experience with Python for ML engineering (packaging, typing, testing, performance)
Experience developing GitLab CI for ML/GenAI (multi-stage pipelines, artifacts, evaluation/security gates) and Terraform for ML/GenAI (reusable modules, drift detection); secure packaging & containerization.
Experience deploying and operating compute for ML (EKS/ECS/Lambda), and secure data access patterns (S3/VPC/IAM/KMS, private endpoints)
Experience implementing MLflow tracking, model registry & governed promotion, packaging & deployment to multi-target runtimes.
Experience operating real-time + batch/streaming inference workloads, ML observability, layered testing (unit/integration), workflow orchestration, and cost optimization.
Experience designing and implementing IAM least-privilege, secrets/key management for CI/CD pipelines; privacy and compliance awareness.

Preferred Qualifications:

Advanced GitLab CI (dynamic child pipelines, components, cross-project triggers, security scans, compliance gates).
Advanced Terraform (policy-as-code, gated plan/apply, environment promotion).
Advanced real-time serving (multi-tenant routing, dynamic model loading) and SLO-driven rollback/automation.
Databricks governance (Unity Catalog, lineage) and feature platform approval/reuse workflows.

Your day-to-day activities:

Essential Duties

Include, but are not limited to, the following:

Own productionizing models—from tracked experiments to governed releases—ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.
Build automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based IaC.
Engineer scalable serving: batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving with probes, autoscaling, and canary/blue-green deployments.
Instrument end-to-end observability (data, model, system); detect drift/regressions; lead incidents and post-mortems that drive durable fixes.
Partner across teams to translate requirements into designs, ADRs, and change plans; balance security, privacy, cost, and performance tradeoffs.
Continuously reduce toil through automation, optimize model/GPU/LLM cost, and evolve templates/playbooks for repeatable delivery.

Please note that employment will be contingent upon providing documentation verifying your legal work authorization in the country of residence, in accordance with applicable law.

Ready to dive in?

Alejandro Rodriguez
Recruiter

Mexico/General

alejandro.rodriguez@newfireglobal.com

Hiring Process

Here's what you can expect during our hiring process.

Stage 1

Applied

Stage 2

Shortlist

Stage 3

Interview

Stage 4

Review

Stage 5

Technical Interview

Stage 6

CSM Interview

Stage 7

Client Interview

Stage 8

Verbal offer

Stage 9

Offer Letter

Stage 10

Background Check

Stage 11

Hired

1 of X

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At Newfire, we only hire professionals who can communicate clearly and effectively with native English speakers in meetings, emails, and chat. Your English skills will be assessed during the initial interview.Basic (A1–A2) – Can understand and use some familiar words and very basic phrases. Very limited ability to communicate. Intermediate (B1) – Can deal with some daily situations. Limited ability to communicate in English. Advanced (B2–C1) – Can interact with a degree of fluency and spontaneity in a professional environment. Able to produce clear, well-structured language on complex subjects. Fluent / Native (C2) – Can express themselves effortlessly in all types of communication, including nuanced and abstract language. Comparable to native-level proficiency.

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