Samadipa Saha

Senior Software Engineer

Sunnyvale, California, United States8 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

8+ years in large-scale distributed systems
Expertise in backend engineering and data pipelines
Proven track record of impactful system delivery

Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on backend engineering and data analytics.

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Skills

Core Skills

Distributed SystemsBackend EngineeringSoftware EngineeringScalabilityData Analytics

Other Skills

.NETAmazon SQSAngularJSC#CSSHTMLJavaPythonanalytics pipelinesautomated reportingbackend servicesdata integritydata managementevent-driven frameworkssystem reliability

About

I am a seasoned Tech Lead / Software Engineer with 8+ years of experience building large-scale distributed systems, data platforms, and enterprise SaaS products across LinkedIn, AWS, and Goldman Sachs. My expertise spans backend engineering—focused on distributed systems and machine learning pipelines—data pipelines, automation, and workflow orchestration, with a track record of delivering systems that drive measurable business impact.

Experience

Senior Software Engineer

Oct 2021 – Present · 4 yrs 5 mos · Mountain View, California, United States · On-site

Tech Lead driving LinkedIn’s flagship CRM platform, architecting large-scale distributed systems that automate account, team, and roster management.
I deliver high-throughput backend services, event-driven frameworks, and resilient infrastructure, with high business impact, saving thousands of hours annually while ensuring data integrity and system reliability.
Passionate about mentoring engineers and shaping org-wide standards for distributed workflows and observability.

distributed systemsbackend servicesevent-driven frameworksdata integritysystem reliabilitybackend engineering

Amazon

Software Engineer

Aug 2020 – Oct 2021 · 1 yr 2 mos · Seattle, Washington, United States · Hybrid

Developed and enhanced AWS Workspaces Client, including the desktop application (C#/.NET) and web client (AngularJS, HTML, CSS), with a focus on scalability, performance, and user experience.
Implemented co-branding frameworks, WCAG-compliant accessibility features, and advanced network telemetry to improve customer adoption, compliance, and observability.
Designed and built a distributed diagnostic service in Java, enabling ingestion of client-side metrics and publishing to Amazon SQS for downstream analytics. These metrics powered real-time dashboards for proactive anomaly detection, large-scale event monitoring, and incident resolution.
Led the integration of a next-generation streaming protocol into the Workspaces Web Client, improving latency, reliability, and cross-platform user experience for thousands of enterprise users.

C#.NETAngularJSHTMLCSSJava+3

Goldman sachs

Software Engineer

Jun 2016 – Jul 2019 · 3 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Designed and developed the Client Portfolio Analytics platform for GS Asset Management, delivering a seamless UI (AngularJS) and a scalable backend service (Python-like GS proprietary language). The system automated analytics on raw asset return data and provided real-time visualization of portfolio performance for institutional clients.
Engineered scalable data management and analytics pipelines to process and normalize large-scale financial datasets across multiple investment teams. Defined and implemented economically meaningful metrics, enabling systematic cross-manager and longitudinal performance analysis.
Built an automated reporting framework that streamlined delivery of user and regulatory reports, reducing manual workload by 2,500+ hours annually and significantly improving compliance and operational efficiency.
Conducted quantitative research on fund manager performance drivers, identifying key predictive factors for recruitment and retention decisions. Leveraged insights to design a recommendation and ranking system that optimized manager selection and improved overall portfolio quality.

AngularJSPythondata managementanalytics pipelinesautomated reportingdata analytics+1