Engineering Manager - Remote Work

BairesDev; Comisión de Fomento de Perú; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

100% remote

USD or local currency

Parental leave

Vacation & holidays

Job summary

BairesDev is a 100% remote engineering powerhouse with a track record of delivering scalable ML-driven software for global leaders. In this Engineering Manager role you will guide a team of ML engineers, shape product roadmaps with Product/Data/ML teams, and stay hands-on when coding to ensure quality and scalability.

You will mentor talent and drive technical excellence across projects. You will collaborate across distributed teams, set engineering standards, and push for performance and

Qualifications

• 7+ years in software development and coding excellence.
• 2+ years in a technical leadership or engineering management role.
• Strong programming in modern languages such as TypeScript, Python, Go, or Java.
• Deep understanding of system design, APIs, cloud infrastructure (AWS/GCP), and software architecture.
• Hands-on experience with data-driven applications or ML collaboration.
• Advanced proficiency in English.

Responsibilities

• Lead and mentor a team of ML engineers in a fast-paced, collaborative environment, hiring, coaching, and developing top-tier engineering talent.
• Collaborate with cross-functional teams (Product, Data, ML, Design) to define and deliver ambitious product roadmaps.
• Write, review, and ship high-quality, production-grade code when needed.
• Drive architectural decisions and ensure long-term scalability, performance, and reliability of systems.
• Oversee the technical execution of ML features, collaborating closely with data scientists and ML engineers.

Skills

Team leadership

ML systems

TypeScript

Python

Go

Java

System design

English

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Engineering Manager at BairesDev

In this role, you'll guide a team of engineers building scalable software products, many of which intersect with machine learning and data-intensive systems. You'll stay hands-on, diving into code, designing systems, and setting engineering standards, while also focusing on team growth, productivity, and technical excellence. If you're a builder at heart and excited by the potential of ML-driven products, it's your opportunity to grow a team and shape the products it delivers.

What You'll Do:

• Lead and mentor a team of ML engineers in a fast-paced, collaborative environment, hiring, coaching, and developing top-tier engineering talent.
• Collaborate with cross-functional teams (Product, Data, ML, Design) to define and deliver ambitious product roadmaps.
• Write, review, and ship high-quality, production-grade code when needed.
• Drive architectural decisions and ensure long-term scalability, performance, and reliability of systems.
• Oversee the technical execution of ML features, collaborating closely with data scientists and ML engineers.

What we are looking for:

• 7+ years of experience in software development, including 2+ years in a technical leadership or engineering management role.
• Strong programming skills in modern languages such as TypeScript, Python, Go, or Java.
• Deep understanding of system design, APIs, cloud infrastructure (AWS/GCP), and software architecture.
• Hands-on experience with data-driven applications or working closely with ML teams.
• Advanced proficiency in English.
• Background building and scaling ML-powered features or platforms OR Strong CS fundamentals: algorithms, data structures, complexity, distributed systems, and databases.

Nice to have:

• Familiarity with MLOps practices and tools, such as model deployment, feature stores, and monitoring.
• Previous experience in a startup or scale-up environment.
• Knowledge of Agile, Lean, or Shape Up methodologies.

How we make your work (and your life) easier:

• 100% remote, work from anywhere.
• Excellent compensation in USD or your local currency if preferred.
• Paid parental leave, vacation, and national holidays.
• Innovative and multicultural work environment.
• Collaborate and learn from the global Top 1% of talent in each area.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!