# Bharath Ravi Kumar > Technology leader at Meta. Open to mentorship, advisory and leadership conversations. Location: London, England, United Kingdom Profile: https://flows.cv/bharathravikumar Profile: I am a hands-on technology leader with diverse experience scaling systems and engineering mechanisms spanning various phases of growth. Across my roles at Amazon and Meta, I have transformed zero-to-one systems into high-scale, reliable bedrocks that serve geographically distributed customers. I have been instrumental in changing the underlying engineering culture and methodologies to enable teams to be agile and predictable. Previously, I was a founding engineer and part of the CTO’s office at InMobi - a mobile advertising unicorn - where I helped scale all aspects of engineering to launch several businesses over nearly a decade. Throughout career, I have built products and infrastructure in the enterprise and consumer areas across a range of problems including multi-tenant compute and data infrastructure, low-latency bidding systems, machine learning platforms, and edge-computing software. I have worked with founders and people leaders to successfully craft the technology vision and strategy for the organisation, as well as the product roadmap. I have also contributed to high-judgement investment decisions including merger & acquisitions, and build-versus-buy decisions aligned with the technology strategy. As an engineering leader, I have helped establish the engineering culture, organisation structure, performance criteria, and incentives to build strong and agile engineering teams. I have also devised successful collaboration mechanisms to build effective, cross-functional technology teams. As a hands-on engineer, I have worked closely with individual contributors and people leaders throughout the engineering lifecycle. I have contributed to their growth through mentoring, coaching, and leading by example. Role Expectation: I seek a leadership role that is pivotal to scaling up the company through technology. In this role, I expect to be a thought leader contributing to the company’s goals, defining the technology vision, and crafting the strategy to realise the vision. I aim to work as a hands-on contributor who helps solve some of the hardest engineering problems while cultivating a strong culture of engineering excellence, agility, and collaboration. Serving as an external face of the company’s leadership, I will establish the company’s unique technology brand. The role would also position me to grow the technology organisation by attracting and nurturing motivated contributors across functions. In summary, I seek a leadership role that is broad and strategic while being technically deep. ## Work Experience ### Software Engineer - Technology Leadership @ Meta Jan 2024 – Present | London Area, United Kingdom Working to strengthen and scale the integrity systems that underpin all of Meta's platforms. ### Principal Engineer @ Amazon Web Services (AWS) Jan 2023 – Jan 2024 | London Area, United Kingdom I joined the organisation when the product and the execution needed to scale rapidly. I started an initiative to improve engineering velocity while reducing the number of customer-impacting errors by redesigning safety mechanisms, developer tools, as well as engineering methods. I then crafted the vision and started a multi-year scaling initiative to enable some of AWS’ largest customers to test their business critical services spanning tens of thousands of AWS resources across Availability Zones and regions. I also built the foundational systems to support the first observability capability offered to customers. This serves as the basis for several potential product features in the area of observability. ### Principal Engineer @ Amazon Jan 2022 – Jan 2023 | London, England, United Kingdom Principal Engineer at Amazon Robotics AI I joined the organisation to help mature and scale the software systems across the edge and the cloud for the order consolidation robotic workcell. The following are a couple of the highlights from this tenure: * Led the edge-computing team’s transition out of the prototyping phase to develop the crucial building-block of microservice orchestration at the edge, which was a complex, irreversible design decision for the organisation. * Guided the redesign of the ML feature-computation subsystem to reduce item classification failures from nearly tens of thousands monthly to nearly zero, with the latency reduced from tens of seconds to milliseconds at the 99th percentile. ### Principal Engineer @ Amazon Jan 2019 – Jan 2022 | Bengaluru Area, India Principal Engineer at Amazon Go (JWO) I was the founding engineer of a new org-wide function to redesign the infrastructure to scale the store footprint from the initial "Just-Walk-Out" computer-vision enabled store, to tens of such stores over the next few years. As part of that, I led the following initiatives: 1. Re-engineering of the infrastructure to enable true elasticity to support variable traffic, and on-demand provisioning globally. This entailed redesigning the software building blocks and fundamental assumptions of fault-tolerances across tens of micro-services. I then helped scale the metadata system, infrastructure automation, and best practices to further accelerate the launch of the stores rapidly across geographies. 2. Redesign foundational software used across JWO's micro-services to support fully automated activation, and touch-free end-to-end computer vision simulation to prove correctness automatically. It enabled decoupled vision software activation across regions and teams, eliminating the need for cross-service coordination. 3. Redesign of the in-store software to support fully automated activation and vision-hardware placement optimisation. The above initiatives resulted in true infrastructure elasticity, fault isolation, and operational excellence for new store while reducing hundreds of hours of engineering effort and thousands of dollars in operational expense. ### Principal Architect @ InMobi Jan 2010 – Jan 2019 | Bengaluru Area, India As one of the founding engineers, I built InMobi’s first scalable, high throughput, low latency ad-serving system that continues to serve billions of requests daily. As the system scaled to support multiple businesses lines and engineering teams over the years, I joined the CTO’s office where I was the advisor to the CTO in strategic decisions on technology investments, organization structure, leadership hiring and nurturing, and technology due-diligence for M&As. Over nearly a decade, I also transformed the engineering methodology to help teams to operate with greater agility and autonomy to support new products. Key achievements include: 1. Design and implementation of InMobi's next generation, cloud native, privacy aware, terabyte scale multi-tenant user data management system. 2. Transformation of the engineering culture to achieve operational excellence and agility. Introduced SLO definitions, metrics-centric engineering, a move to infrastructure agnostic service design. Also entailed building deeply integrated services for container deployment powering thousands of containers, and services for metrics collection & monitoring. The erstwhile operations function was revamped into a lean SRE function that owned the above services globally. 3. Coauthored the company's cloud transformation strategy, implementing hybrid infrastructure that enhanced engineering agility and cost efficiency 4. Conceptualized an ML model management and serving system similar to Uber's Michelangelo, built on Apache Spark. This led to better infrastructure utilisation and efficiency, maintainable data pipelines, 30% lower turnaround time processing terabytes of data, and reduced training time from hours to minutes. 5. Introduced a multi data center data assimilation system that was resilient to failures, and was capable of assimilating data updates of varying granularity and frequency. 6. Devised a system to join monetisation event streams of varying scale and data volumes. ### Software Development Engineer - II, AWS Platform @ Amazon Web Services (AWS) Jan 2008 – Jan 2010 | Bangalore, India Led the design and implementation of the service that powers AWS promotions. Part of the team that redesigned the workflow that pre-processed AWS metering records prior to billing. This redesign enabled the next generation billing system to handle several billion metering events while enabling complex pricing models for EC2 Reserved Instances and Spot Instances. ### Software Development Engineer - II , Amazon Pay @ Amazon Web Services (AWS) Jan 2007 – Jan 2008 | Bangalore, India Developed a system to migrate large volumes of transaction data reliably in near realtime between heterogeneous data stores without downtime. This system was built before unified data propagation platforms like Apache Kafka existed. Instrumental in improving software engineering quality by introducing stringent peer code reviews, code quality metrics and continuous builds. ### Member Technical Staff @ Sun Microsystems Inc Jan 2005 – Jan 2007 Worked on the N1 Service Provisioning System. Assignments include enhancements to the public API, introducing atomic transactions to safely abort in-flight deployments, and implementing support for running multiple parallel tasks on the remote agent. ### Software Engineer, HP OpenView @ Hewlett Packard Jan 2004 – Jan 2005 Responsible for design & development of components for the IP/Voice mediation product in the OpenView suite. Developed a system to isolate and auto-correct call detail records (CDRs), processing massive volumes of Telco data, applying user-specified heuristics. ### Programmer Analyst @ Cognizant Technology Solutions India Jan 2003 – Jan 2004 ## Education ### Machine Learning in Data Analysis and Statistical Inference Coursera ### B.E in Computer Science Sri Jayachamarajendra College of Engineering ## Contact & Social - LinkedIn: https://linkedin.com/in/bharathr - Website: http://blogs.sun.com/brk --- Source: https://flows.cv/bharathravikumar JSON Resume: https://flows.cv/bharathravikumar/resume.json Last updated: 2026-04-05