Bisakh Mondal

Software Engineer

London, England, United Kingdom5 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in architecting global-scale distributed systems
Led innovative projects at Google for cloud infrastructure
Active contributor to open-source cloud-native solutions

Stackforce AI infers this person is a Cloud Computing and Networking expert with a focus on distributed systems.

Contact

Skills

Core Skills

Distributed SystemsSystem ArchitectureSite Reliability EngineeringCloud Computing

Other Skills

GoC++Network Load BalancingKubernetesSoftware Defined NetworkinggRPCPythonLuaPostgreSQLTemporal.ioPyTorchTensorFlowDeep LearningGoogle Cloud Platform (GCP)

About

I architect global-scale distributed systems and high-performance infrastructure. I designed, bootstrapped and continue to lead the managed blackbox monitoring infrastructure for Google Distributed Cloud (GDC), an air-gapped Sovereign Cloud solution. Additionally, I drive projects on Frontend L4 Packet Processing at the edge of Google's network, managing global peering ingress and planetary-scale user traffic. I specialize in Distributed Systems, System Architecture, Go, C++, and Software Defined Networking (SDN), with a deep interest in the intersection of systems and security. OPEN SOURCE & COMMUNITY: • Lead & Organizer, Google CTF Beginners Quest (2025) • Committer at Apache APISIX (Cloud-Native API Gateway) Reach me: bisakh@apache.org

Experience

5 yrs 2 mos

Total Experience

2 yrs 11 mos

Average Tenure

3 yrs 8 mos

Current Experience

Google

4 roles

Staff Software Engineer

Promoted

Apr 2026 – Present · 1 mo · On-site

Tech Lead: I designed, bootstrapped and continue to lead the managed blackbox monitoring infrastructure for Google Distributed Cloud (GDC), an air-gapped Sovereign Cloud solution.
Additionally, I drive projects on Frontend L4 Packet Processing at the edge of Google's network, managing global peering ingress and planetary-scale user traffic.

Distributed SystemsSystem ArchitectureGoC++

Senior Software Engineer, Site Reliability Engineering

Promoted

Oct 2024 – Apr 2026 · 1 yr 6 mos · On-site

Workstream Tech Lead, Fastcloud Reliability: Led the design and built the centralized safeguards for 200+ GCP services, accelerating global Cloud Region turnup velocity with much needed reliability.

Network Load BalancingKubernetesSite Reliability EngineeringSoftware Defined NetworkinggRPCDistributed Systems+2

Software Engineer, Site Reliability Engineering III

Nov 2023 – Oct 2024 · 11 mos · On-site

Network Load BalancingSite Reliability EngineeringSoftware Defined NetworkinggRPCDistributed SystemsGo

Software Engineer, Site Reliability Engineering II

Sep 2022 – Nov 2023 · 1 yr 2 mos · On-site

Traffic SRE at Google - automating user-facing & cloud infrastructure both control & data plane.
We own and manage the Layer 4 load balancers [1] at Google with bespoke Software Defined Networking[2].
Passionate about security, active in Google CTF [3] and challenge author in Beginners Quest [4] - yearly capture the flag competition hosted by Google.
Leading and driving multiple high velocity projects and solving cool and challenging problems.
Expertise: SWE, Problem solving, Networking, Packet Processing, SDN, BGP
[1] https://research.google/pubs/maglev-a-fast-and-reliable-software-network-load-balancer/
[2] https://research.google/pubs/taking-the-edge-off-with-espresso-scale-reliability-and-programmability-for-global-internet-peering/
[3] https://capturetheflag.withgoogle.com/
[4] https://capturetheflag.withgoogle.com/beginners-quest

PythonNetwork Load BalancingSite Reliability EngineeringSoftware Defined NetworkingDistributed SystemsGo

Fampay

Backend Engineer

Jul 2022 – Aug 2022 · 1 mo · Bengaluru, Karnataka, India

PostgreSQLPythonGo

The d. e. shaw group

Site Reliability Engineer

Jan 2022 – Apr 2022 · 3 mos · India

PostgreSQLSite Reliability EngineeringgRPCDistributed SystemsGo

Apache apisix

Committer

Dec 2021 – Present · 4 yrs 5 mos

Open Source cloud-native fast API gateway, Ingress and Service Mesh solution.

LuaGoCloud Computing

Api7.ai

Software Engineer

Oct 2021 – Jan 2022 · 3 mos

Apache APISIX developer - a cloud-native api gateway, ingress & service mesh agent.
Working on the data plane, control plane components, improving observability and serverless plugins support.
Added plugins for Datadog Monitoring, Azure Functions, AWS Lambda (with V4 request signing), HashiCorp Vault.
Tech Stack - Lua, Go

gRPCGo

Chromium

Google Summer of Code Developer

Jun 2021 – Aug 2021 · 2 mos

Worked on porting ChromeOS Power Policy End-to-End Tests from autotest, a python-based framework, soon to be decommissioned, to the Tast framework in Go.
Project Idea: https://summerofcode.withgoogle.com/projects/#6687401885302784
My blog post: https://blog.bisakh.com/blog/gsoc-chromium-2021
Primary tech stack: Go, Python

PythonGo

The d. e. shaw group

Systems Engineer

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

Developed a distributed, scalable Auto Remediation System for automated alert resolution at DESCO alert and monitoring infrastructure.
A Finite State Machine to interpret Domain specific States Language (Turing Complete DSL) to deﬁne remediation recipes in simple JSON as an alternative to Go. A time-efficient, error-free solution for people from tech and non-tech backgrounds.
Primary tech stack: Go

PostgreSQLSite Reliability EngineeringTemporal.iogRPCDistributed SystemsGo

Indian institute of technology, bombay

Deep Learning Researcher

May 2020 – Jul 2020 · 2 mos · India

Developed a Dark Knowledge Distillation based classification approach for faster disease classification from Chest X-RAYs.
Extremely light (3 Conv layers) neural network can predict without compromising any accuracy compared to the dense network (inception v3) at an exceptionally fast rate.
Tech Stak: Python, Pytorch

PythonPyTorchTensorFlow

Jadavpur university, kolkata

Undergraduate Student Researcher

Oct 2019 – Jul 2020 · 9 mos · India

Researched with different Deep Learning algorithms in Computer Vision & Natural Language Processing. Primarily focussed on classification, segmentation, GANs, CRNN & a little bit of Transformers.

PythonPyTorchTensorFlow