[Hiring] Senior Back-End Engineer/MLOps @Truelogic

Role Description

We are looking for a Senior Back-End Engineer/MLOps to join a Marketplace team working at the intersection of full-stack product engineering and machine learning operations. In this role, you’ll help build and maintain the backend systems that power search, ranking, and matching experiences, while also supporting ML pipelines, model deployment, feature stores, and real-time data infrastructure. You’ll collaborate closely with data scientists, product partners, and engineers to bring machine learning capabilities into production reliably and at scale. This is a blended role for an engineer who enjoys solving complex backend and infrastructure challenges while contributing to product features.

Responsibilities

• Build and maintain full-stack features across marketplace products, including search, ranking, and user-facing experiences.
• Develop and support ML Ops infrastructure, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring.
• Collaborate with data scientists and engineers to bring machine learning models into production reliably and at scale.
• Write clean, well-tested, maintainable code and actively participate in code reviews.
• Contribute to technical planning and break down complex problems into well-scoped, executable tasks.
• Identify and resolve performance, reliability, and scalability issues across existing systems.
• Work with data and feature pipelines, SQL, and experimentation/A/B testing frameworks.
• Communicate progress clearly, surface blockers early, and collaborate effectively with distributed teams across time zones.

Qualifications

• 5+ years of professional software engineering experience, with strong backend or full-stack development experience.
• Strong backend development skills and proficiency in at least one of Go, Python, Ruby, or JavaScript/TypeScript.
• Hands-on experience with MLOps or production machine learning systems, including tools such as Vertex AI, MLflow, Kubeflow, or equivalent.
• Experience with feature stores, ideally Chalk or a comparable technology.
• Strong SQL skills and experience working with data and feature pipelines.
• Experience working with cloud platforms such as GCP, AWS, or Azure, with GCP preferred.
• Solid understanding of machine learning concepts and model deployment.
• Strong debugging skills, ownership mindset, and excellent communication.
• Ability to collaborate effectively with cross-functional teams and colleagues across different time zones.
• Experience with search, ranking, recommendation systems, real-time systems, or performance/latency optimization is a strong plus.
• Experience in online marketplaces, mentoring engineers, frontend development, A/B testing, or AI-assisted development tools is a plus.

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Company Description

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations.