Balaji Ravi

Product Manager

Chennai, Tamil Nadu, India11 yrs 7 mos experience

Highly Stable

Key Highlights

Led engineering teams at Amazon for scalable data platforms.
Improved Alexa device performance through innovative tools.
Passionate about team growth and technical mentorship.

Stackforce AI infers this person is a SaaS-focused Software Development Manager with expertise in data-driven solutions.

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Skills

Core Skills

Software DevelopmentCloud ComputingData Science

Other Skills

Software IndustryTeam ManagementBig DataData StructuresPython (Programming Language)CI/CDLeadership DevelopmentOrganizational LeadershipCross-functional Team LeadershipManagementTeam LeadershipLeadershipC++oracle certified java programmerC

About

I’m a Software Development Manager at Amazon with over 12 years of experience leading engineering teams to build scalable, data-driven, and customer-focused systems. My work blends technical vision, people leadership, and operational excellence, enabling teams to deliver impactful solutions that drive measurable business outcomes. In my current role within Amazon’s Digital Acceleration organization, I lead the design and delivery of large-scale data and analytics platforms that support global operations. My teams focus on improving data reliability, performance, and accessibility, empowering faster and smarter decision-making across Amazon. We’ve driven meaningful improvements in throughput, uptime, and developer efficiency, while fostering a strong culture of ownership and accountability. Previously, I contributed to the Alexa and Echo Devices organization, leading efforts to scale automation and lab infrastructure supporting multiple product generations. These initiatives enhanced device validation, accelerated release cycles, and improved coordination between development and QA teams — ensuring faster, higher-quality innovation for millions of customers. As a leader, I’m passionate about growing people as much as building systems. I focus on cultivating high-performing teams rooted in trust, autonomy, and continuous improvement. By combining hands-on technical mentorship with long-term strategic direction, I aim to create environments where engineers thrive and ideas turn into scalable realities.

Experience

Amazon

3 roles

Software Development Manager | Digital Acceleration

Promoted

Oct 2023 – Oct 2025 · 2 yrs

Digital Acceleration enables Amazon’s digital businesses to leverage large-scale data for machine learning, feature discovery, and advanced analytics.
I lead engineering teams building distributed data platforms that process large-scale datasets and power ML model development, feature engineering, and analytics workflows across large data lake environments.
Lead teams designing large-scale distributed systems for high-volume data ingestion and processing.
Develop platforms enabling feature discovery and model experimentation at scale.
Architect scalable data pipelines and analytics infrastructure across large data lake environments.
Collaborate across engineering organizations to enable data-driven development and insights.
Mentor engineers building complex backend and distributed data systems.

Software IndustryTeam ManagementSoftware DevelopmentCloud Computing

Senior Software Development Engineer | Alexa Echo

Promoted

Jun 2021 – Oct 2023 · 2 yrs 4 mos

Drove the creation of tools to measure and improve User Perceived Latency, directly enhancing Alexa device performance.
Built monitoring systems and dashboards that streamlined software rollouts, enabling over 10 million devices to receive seamless OTA updates.
Guided technical direction for major product launches like Alexa Echo Show, ensuring stable, high-quality releases.
Designed analytics services to process production crashes and device logs, improving reliability and providing better visibility for stakeholders.
Developed automation frameworks supporting multiple OS platforms and integrated them with CI/CD pipelines, accelerating feature delivery.
Led the development of a request lifecycle management platform that automated end-to-end execution by integrating with test schedulers and frameworks—reducing manual overhead by 70%+ and improving test coverage and execution efficiency.
Led the design and development of scalable platforms, including a device farm for Alexa Echo devices and a host management service to support large-scale infrastructure.

Software Development Engineer in Test | Alexa Tablet

Apr 2020 – Jun 2021 · 1 yr 2 mos

Mad street den

Software Development Engineer In Test

Dec 2018 – Apr 2020 · 1 yr 4 mos · Chennai, Tamil Nadu, India

Developed a scalable API automation framework using Pytest with a behavior-driven architecture to validate recommendation algorithms for an e-commerce platform.
Engineered CI/CD pipelines to automate build, test, and deployment workflows, improving release efficiency by 30%.
Designed and implemented distributed parallel execution using Cucumber and Docker to accelerate validation cycles and enhance scalability.
Streamlined automation infrastructure with containerization and open-source tools, improving reliability and reducing maintenance overhead.

Python (Programming Language)Software Development

Chronus

Software Development Engineer In Test II

Sep 2016 – Dec 2018 · 2 yrs 3 mos · Chennai, Tamil Nadu, India

Established an in-house CI/CD setup for test automation using open-source tools like Jenkins, achieving a 70% cost reduction.
Designed and implemented parallel test execution using the Cucumber framework, reducing test execution time by 60%.
Enhanced automation reliability by integrating tools like GitLab, Docker, and Jenkins into the testing process.

Athenahealth

2 roles

Software Engineer in Test

Mar 2014 – Sep 2016 · 2 yrs 6 mos · Chennai Area, India

Developed automation frameworks for SaaS applications focused on critical US healthcare features such as appointments, insurance claims, and patient referrals.
Designed tools to manage sensitive user health records during test executions, ensuring data security and compliance.
Conducted data validation for complex healthcare workflows, improving accuracy and reliability in testing outcomes.