---
title: "Sajith . - Senior Software Engineer in India | Tal"
description: "Meet Sajith ., Ex-Google & Google DeepMind | Senior Software & Systems Engineer | Distributed Systems · Cloud · Backend · AI/ML | IIT Bombay based in India. AI stack includes claude code, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/sajith-k-p/share-image"
---

# Sajith \. on Tal

## Headline

Ex\-Google &amp; Google DeepMind \| Senior Software &amp; Systems Engineer \| Distributed Systems · Cloud · Backend · AI/ML \| IIT Bombay

## About

Senior software and systems engineer with experience building large\-scale production software across backend, distributed systems, cloud infrastructure, data platforms, and AI/ML systems\. I've worked across the stack, from APIs, databases, web and mobile platforms to Linux servers, networking, distributed architecture, cloud infrastructure, and ML/AI infrastructure\. My work typically sits at the intersection of software engineering, systems, and scale: designing reliable services, improving performance and cost, modernizing existing systems, and taking complex workloads from prototype to production\. Areas I work across: • Distributed systems &amp; backend architecture • Cloud, infrastructure &amp; platform engineering • Databases, storage, caching &amp; data systems • APIs, web &amp; client\-server applications • Linux, servers, networking &amp; performance • Legacy/enterprise modernization • AI/ML infrastructure, inference &amp; data pipelines • Reliability, observability &amp; production engineering I've worked with teams at Google and Google DeepMind on systems where scale, reliability and performance matter\. I'm particularly interested in challenging engineering problems and remote software/engineering engagements with strong organizations\.

## Location

India

## AI stack

claude code

codex

cursor

github copilot

langchain

ollama

## Work experience

Senior Software Engineer at Google DeepMind, Sep 2025 \- Aug 2026 · 1 yr, United Kingdom, \- Joined Google DeepMind to work on large\-scale systems spanning software infrastructure, distributed computing, and AI/ML workloads\. \- Build reliable services and platforms running across large compute and GPU environments\. \- Work across backend systems, APIs, storage, networking, orchestration, observability, and performance engineering\. \- Improved model inference throughput by \~2\.3× while reducing compute cost by \~27%\. \- Built infrastructure connecting research workloads with production\-quality services, tooling, and deployment systems\. \- Work with researchers and engineers across software, systems, infrastructure, and machine learning to take complex ideas from prototype to reliable production systems\. \- Continue to work hands\-on across the stack, from low\-level performance and servers to distributed architecture and user\-facing applications\.

Senior Software Engineer at Google, Aug 2024 \- Sep 2025 · 1 yr 2 mos, \- Led design and delivery of large\-scale systems spanning backend services, distributed architecture, cloud infrastructure, data platforms, and AI\-powered features\. \- Designed a multi\-region service architecture that handled \~300M requests/day while maintaining 99\.99% availability\. \- Reduced infrastructure cost by \~30% through capacity planning, caching, workload optimization, and better resource utilization\. \- Built services and internal platforms used across web, mobile, and other Google product surfaces\. \- Worked across application code, APIs, databases, networking, servers, containers, observability, and deployment infrastructure\. \- Partnered with ML engineers and researchers to productionize model\-driven features and build reliable inference and data\-processing systems\. \- Led modernization of older services and helped migrate critical workloads to newer infrastructure without disrupting existing users\. \- Mentored engineers and drove technical decisions across multiple teams, from system design through production operations\.

Software Engineer III at Google, Jun 2022 \- Aug 2024 · 2 yrs 3 mos, \- Owned several high\-scale services spanning backend, distributed systems, cloud infrastructure, data, and user\-facing applications\. \- Led an architecture redesign that increased throughput by \~2× and reduced infrastructure costs by \~25%\. \- Built APIs and services supporting web and mobile experiences used by millions of users\. \- Worked across Java, C\+\+, Python, SQL, cloud infrastructure, containers, and large\-scale storage systems\. \- Helped modernize legacy services while maintaining compatibility with existing clients and minimizing production disruption\. \- Built monitoring and automation that reduced deployment and incident\-response time by \~50%\. \- Worked with machine\-learning teams to integrate model\-powered features into production services, including data pipelines, inference services, and evaluation infrastructure\. \- Mentored engineers and regularly led design reviews covering APIs, distributed architecture, reliability, performance, and security\.

Software Engineer II at Google, Jul 2020 \- Jun 2022 · 2 yrs, \- Built and operated backend services serving millions of requests per day across Google's production infrastructure\. \- Redesigned a critical service path, improving p99 latency by \~35% and increasing throughput by \~1\.8×\. \- Worked across distributed systems, databases, caching, networking, APIs, and Linux\-based infrastructure\. \- Built internal web tools and developer platforms that reduced common engineering workflows from hours to minutes\. \- Improved service reliability from \~99\.5% to 99\.9% through better monitoring, automated recovery, and fault isolation\. \- Contributed to systems used across Google Search Infrastructure \(Core Ranking &amp; Serving Platform\), gaining experience with large codebases, production operations, and cross\-team architecture\. \- Worked with engineers across backend, frontend, infrastructure, and product teams to ship features from design through production\.

Software Engineer Intern at Google, May 2019 \- Aug 2019 · 4 mos, Greater Hyderabad Area, \- Built backend services and internal tools used by engineering teams across Google\. \- Improved a high\-volume service by \~20% through caching and query optimization\. \- Automated a repetitive workflow, cutting processing time from \~2 hours to under 15 minutes\. \- Worked across APIs, databases, Linux servers, testing, and production debugging\. \- Contributed code that was adopted into the team's production environment and received a full\-time return offer\.

## Education

Bachelor of Technology, Computer Science, Indian Institute of Technology, Bombay

## Public links

- github: https://github\.com/Sajith15

[View the original profile](https://tal.club/meet/sajith-k-p)

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