Diljit PR

Engineering Manager

Bangalore Urban, Karnataka, India9 yrs 10 mos experience

Key Highlights

Over 10 years of experience in complex systems.
Strong engineering intuition for business problem-solving.
Expertise in scalable system design and implementation.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Cloud technologies.

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Skills

Core Skills

Micro-servicesProject ManagementDistributed SystemsAwsMachine Learning

Other Skills

JavaKafkaGoogle CloudSupply ChainData PipelinesAmazon Web Services (AWS)Spring BootPythonAmazon Web ServicesKubernetesNoSQLDynamoDbAmazon Sage MakerAlgorithmsData Structures

About

I’m not a typical LeetCode-centric engineer. I focus on system-level reasoning, deep problem analysis, and making the right trade-offs within real-world constraints to achieve optimal business outcomes. With over 10 years of industry experience, I’ve worked across complex systems and architectures, bringing a strong engineering intuition to solving meaningful business problems. My approach goes beyond textbook system design exercises and prioritizes practicality, scalability, and impact.

Experience

9 yrs 10 mos

Total Experience

1 yr 4 mos

Average Tenure

2 mos

Current Experience

Avoca

Engineering Manager

Mar 2026 – Present · 2 mos · Bangalore Urban, Karnataka, India · Remote

Deployed Engineering @ Avoca (YC-23)
I m hiring!!

Wayfair

Senior Software Development Engineer

Nov 2023 – Feb 2026 · 2 yrs 3 mos · Bangalore Urban, Karnataka, India · On-site

Java, Micro-services, Kafka, Google Cloud, Supply Chain, Data Pipelines, Project Management.
Leading and developing people, mentoring engineers on board and ensuring the engineering culture is highly collaborative, exciting and people get to build cool stuff
Leading team and driving projects.
Mentoring engineers on-board.
Driving deliverables and communicating stakeholders.
Interviewing and hiring engineers.
Designing simple, efficient and building high scalable systems

JavaMicro-servicesKafkaGoogle CloudSupply ChainData Pipelines+1

Singlestore

Senior Software Engineer

Jan 2023 – Nov 2023 · 10 mos · California, United States · On-site

Control Plane, Billing and Subscriptions.

Amazon Web Services (AWS)Distributed SystemsAWS

Twilio

Staff Software Engineer

Feb 2022 – Nov 2022 · 9 mos · Bangalore

All things engineering and scaling engineering teams @Twilio, India 🚀
Product that I'm working on:
https://www.twilio.com/docs/verify

Zalando se

Senior Staff Software Engineer

Nov 2020 – Oct 2021 · 11 mos · Berlin, Berlin, Germany

Collaborating, designing, and delivering backend software components engineered for low latency near real-time machine learning systems. I was part of the feature-discovery and feature engineering team responsible for both online and offline feature engineering layers.
Learned Deutsche!
Fraud detection
Java, Spring Boot, Python, Amazon Web Services, Kubernetes, NoSQL, DynamoDb, Kafka, Machine Learning, Amazon Sage Maker

JavaSpring BootPythonAmazon Web ServicesKubernetesNoSQL+5

Paypal

Software Development Engineer / SDE 2

Sep 2019 – Nov 2020 · 1 yr 2 mos · Greater Bengaluru Area

Part of the Risk Compute Platform Team responsible for low latency, highly reliable and high performing risk infrastructure/platform helping PayPal in risk engineering for over 200M+ payments/day.

Nutanix

Member Of Technical Staff 2/ SDE 2

Apr 2018 – Sep 2019 · 1 yr 5 mos · Bengaluru, Karnataka, India

Backend and Systems Engineering
Developed a distributed cron scheduling engine to be able to run monitoring agents on distributed nodes using Rabbitmq, Nginx, flask, python, Grafana for dashboarding, and Elasticsearch for logging.
Worked on enabling Nutanix on nested ESXi/nested virtualization to enable teams spin virtual Nutanix environments/clusters faster and allowing organization to eliminate physical hardware costs and reduce physical hardware provisioning time.

Hp

Software Engineer HPE Cloud / SDE 1

Nov 2015 – Mar 2018 · 2 yrs 4 mos · Bengaluru Area, India

Backend Engineer, Networks, Servers, Operating Systems and little of storage.
Worked on rest api development, front end development, operating systems, image manipulation, vmware esxi, red hat operating system, ubuntu linux, operating system internals.
In short, the product allows you to deploy cloud operating systems on fleets of servers(server farm) like vmware esxi, hyperv, ubuntu, centos, red hat linux in datacenter at scale allowing servers to be truly stateless with remote boot volumes via iscsi targets allowing configuration management, os upgrades and many more with zero downtime.
See the product here:
https://www.hpe.com/psnow/doc/c04815217.pdf?jumpid=in_lit-psnow-red