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I'm a senior backend and MLOps engineer with 9+ years of experience, including a substantial tenure at Amazon where I designed large-scale distributed systems, ML pipelines, and AI infrastructure. I specialize in architecting ETL workflows, optimizing ML training and inference, and deploying ranking models that boost product discovery and business outcomes. I’m proficient with AWS cloud services, MLOps platforms, and scalable backend APIs, and I enjoy mentoring peers to drive technical excellence while nurturing innovation. Beyond writing robust code, I’ve guided 100+ ML professionals through career development, project delivery, and interview prep. I love turning complex problems into maintainable solutions, fostering collaboration across teams, and continuously learning to stay ahead in the fast-evolving landscape of data, ML, and backend systems.…I'm a senior backend and MLOps engineer with 9+ years of experience, including a substantial tenure at Amazon where I designed large-scale distributed systems, ML pipelines, and AI infrastructure. I specialize in architecting ETL workflows, optimizing ML training and inference, and deploying ranking models that boost product discovery and business outcomes. I’m proficient with AWS cloud services, MLOps platforms, and scalable backend APIs, and I enjoy mentoring peers to drive technical excellence while nurturing innovation. Beyond writing robust code, I’ve guided 100+ ML professionals through career development, project delivery, and interview prep. I love turning complex problems into maintainable solutions, fostering collaboration across teams, and continuously learning to stay ahead in the fast-evolving landscape of data, ML, and backend systems.

Elias Haroun

Back-End Developer, Full Stack Developer, Web Developer, +2

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I'm a senior backend and MLOps engineer with 9+ years of experience, including a substantial tenure at Amazon where I designed large-scale distributed systems, ML pipelines, and AI infrastructure. I specialize in architecting ETL workflows, optimizing ML training and inference, and deploying ranking models that boost product discovery and business outcomes. I’m proficient with AWS cloud services, MLOps platforms, and scalable backend APIs, and I enjoy mentoring peers to drive technical excellence while nurturing innovation. Beyond writing robust code, I’ve guided 100+ ML professionals through career development, project delivery, and interview prep. I love turning complex problems into maintainable solutions, fostering collaboration across teams, and continuously learning to stay ahead in the fast-evolving landscape of data, ML, and backend systems.…I'm a senior backend and MLOps engineer with 9+ years of experience, including a substantial tenure at Amazon where I designed large-scale distributed systems, ML pipelines, and AI infrastructure. I specialize in architecting ETL workflows, optimizing ML training and inference, and deploying ranking models that boost product discovery and business outcomes. I’m proficient with AWS cloud services, MLOps platforms, and scalable backend APIs, and I enjoy mentoring peers to drive technical excellence while nurturing innovation. Beyond writing robust code, I’ve guided 100+ ML professionals through career development, project delivery, and interview prep. I love turning complex problems into maintainable solutions, fostering collaboration across teams, and continuously learning to stay ahead in the fast-evolving landscape of data, ML, and backend systems.

Available to hire

I’m a senior backend and MLOps engineer with 9+ years of experience, including a substantial tenure at Amazon where I designed large-scale distributed systems, ML pipelines, and AI infrastructure. I specialize in architecting ETL workflows, optimizing ML training and inference, and deploying ranking models that boost product discovery and business outcomes. I’m proficient with AWS cloud services, MLOps platforms, and scalable backend APIs, and I enjoy mentoring peers to drive technical excellence while nurturing innovation.

Beyond writing robust code, I’ve guided 100+ ML professionals through career development, project delivery, and interview prep. I love turning complex problems into maintainable solutions, fostering collaboration across teams, and continuously learning to stay ahead in the fast-evolving landscape of data, ML, and backend systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Arabic

Intermediate

Hebrew (modern)

Intermediate

Work Experience

Senior Software Development Engineer at Amazon

April 1, 2022 - Present

Led a cross-functional initiative across 5 engineers and 12+ downstream teams to build a complex ETL pipeline using Step Functions, Lambda, and Glue, surfacing high-value product selections across 12+ channels. Built a scalable data processing solution handling 1.5 TB/day of product data, contributing to $3M+ annual revenue per team. Architected MLOps infrastructure with SageMaker pipelines for automated training and deployment, reducing experimentation cycle time by 40% and accelerating regional model rollout. Implemented monitoring and alerting with CloudWatch to enforce SLAs and automated incident response for ML reliability. Optimized ML inference to handle ~1B requests/day with 5x memory reduction, saving $40K annually. Automated Docker containerization and ECR deployment for reliable testing and production rollout. Deployed and A/B tested search ranking ML models with measurable impact on sales and engagement.

Software Development Engineer II at Amazon Last Mile Delivery – Product and Tech

February 1, 2019 - April 1, 2022

Developed a serverless Tier-1 application to enhance Amazon Flex driver experience using Lambda, SQS, DynamoDB, and SNS. Migrated critical check-in logic from mobile app to backend, improving system reliability and reducing mobile-app complexity. Resolved high-priority production issues across multiple Tier-1 services with rapid, permanent fixes. Led initiatives to reduce technical debt, improving code maintainability, testability, and extensibility. Reduced operational overhead by proactive system improvements and provided technical leadership through design and code reviews across teams.

Software Development Engineer I at Amazon Alexa / Lex – Learning Systems

April 1, 2017 - February 1, 2019

Designed and implemented a RESTful migration service for Alexa speech model artifacts, enabling deprecation of legacy storage. Automated deployment verification processes, cutting deployment time by over an hour and reducing manual errors. Contributed to Alexa’s speech recognition backend enabling multi-language support, Whisper features, and advanced skill development. Managed full software development lifecycle from design to production deployment for speech recognition systems.

Software Developer at BAM Strategy

May 1, 2014 - December 1, 2014

Led the development of the SaleWhale native iOS application in Objective-C, expanding the user base and delivering a polished mobile experience. Collaborated with cross-functional teams including developers, designers, and marketing to align product milestones with business goals.

Army Officer at Canadian Forces

January 1, 2011 - January 1, 2016

Led platoons of 30–40 personnel, developing leadership, operational planning, and team management skills under demanding conditions.

College Instructor (CEGEP) at CEGEP

January 1, 2015 - January 1, 2015

Taught Object Oriented Programming and iOS Development, delivering curriculum and mentoring students; supported in-class and project-based learning.

Remote Instructor and Technical Mentor (Part-time) at Interview Kickstart

July 1, 2024 - Present

Delivered crash courses on ML/MLOps (data management, model training, deployment, monitoring, governance) and mentored 100+ students through projects and career prep, including mock interviews and coaching.