Dhiraj Dwivedi

Software Engineer

Bengaluru, Karnataka, India6 yrs 6 mos experience

Highly Stable

Key Highlights

Led reliability engineering for Azure Ultra Disks impacting 300+ tenants.
Modernized financial data systems achieving over 200% performance improvement.
Expert in cloud-native architecture and distributed systems.

Stackforce AI infers this person is a Cloud Computing and Fintech expert with a focus on system reliability and architecture.

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Skills

Core Skills

Cloud-native ArchitectureSystem ReliabilityDistributed SystemsData Engineering

Other Skills

.NET.NET FrameworkASP.NETASP.NET MVCAWSAWS Identity and Access Management (AWS IAM)AWS LambdaAlgorithmsAmazon CloudWatchAmazon S3Android DevelopmentAzureBootstrapCC#

About

I’m a technology-driven Software Engineer with over 6 years of experience designing and delivering scalable, reliable, and secure systems in cloud and distributed environments. Currently, I work at Microsoft as a Software Engineer 2 on the Azure Ultra Disks team, where I lead key initiatives around reliability engineering, telemetry, and observability across 300+ production tenants. My core strengths lie in system design, cloud-native architecture (Azure, AWS), and DevOps automation. I’ve built and scaled real-time monitoring systems, implemented secure key rotation and token authentication pipelines, and led efforts that reduced false alerts and improved outage detection times significantly. Prior to Microsoft, I contributed to high-availability multilingual systems at AWS Lex and modernized financial data systems at Societe Generale. I'm passionate about crafting robust backend systems, improving software reliability, and driving measurable impact through engineering excellence. Let’s connect if you’re into distributed systems, observability, or building high-performance cloud platforms!

Experience

Nutanix

Member of Technical Staff 4

Oct 2025 – Present · 5 mos · Bengaluru, Karnataka, India · Hybrid

AzureGenevaC++C#.NETJWT/SAML+6

Microsoft

Software Engineer II

Mar 2022 – Aug 2025 · 3 yrs 5 mos · Bengaluru, Karnataka, India · Hybrid

Azure Ultra Disks
Lead reliability and observability engineering for Azure Ultra Disks, impacting 300+ production tenants across global cloud infrastructure.
Designed and deployed real-time telemetry pipelines and Geneva dashboards, reducing false alerts by 30% and improving upgrade safety.
Built SLI/SLAs for control plane APIs using request-based success metrics and integrated with BRAIN for anomaly detection and alerting.
Implemented DSAS Key Rotation and Session Token APIs to enhance secure authentication, key expiry visibility, and automated key refresh across compute nodes.
Migrated authentication stack to DSTSv2, introducing support for JWT/SAML tokens with feature toggles and fallback mechanisms.
Developed quorum-based health metrics for gated deployments, increasing reliability and reducing incident exposure during rollouts.
Spearheaded test stabilization efforts across VM and cloud environments, reducing flakiness by 35% and improving PR reliability.
Contributed to SLO onboarding and S360 scorecard initiatives, reducing outage detection latency by 25%.
Tech Stack: Azure, Geneva, C++, C#, .NET, JWT/SAML, REST APIs, CI/CD, Monitoring & Alerting, Distributed Systems

AWSCloudWatchJavaPythonREST APIsDistributed Systems+2

Amazon

Software Development Engineer

Aug 2021 – Feb 2022 · 6 mos · Bangalore Urban, Karnataka, India · Remote

Contributed to the architecture and deployment of distributed, multilingual systems for Amazon Lex with high availability and regional failover. Implemented throttling mechanisms and real-time monitoring via CloudWatch, improving service resilience. Played a key role in sprint planning, architecture reviews, and CI/CD pipelines to ensure scalable, production-grade releases.
Tech: AWS, CloudWatch, Java, Python, REST APIs, Distributed Systems, Monitoring & Alerting

AWS LambdaPythonC#Java.NETFlask+5

Societe generale global solution centre

Software Engineer

Jul 2019 – Aug 2021 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Led the design and development of robust data pipelines and APIs to support financial reconciliation, trade analytics, and operational reporting. Spearheaded modernization efforts by migrating legacy systems to cloud-native, serverless architectures (AWS Lambda, Python), resulting in over 200% performance improvement and significantly reduced maintenance overhead.
Developed ML-driven reconciliation tools to detect anomalies in trade data, integrated with full logging, auditing, and historical trend analysis. Built secure, scalable dashboards for contract data analytics with advanced filtering and role-based access control. Collaborated with global teams to deliver full-stack solutions that enhanced system reliability, transparency, and audit readiness.
Tech: AWS Lambda, Python, C#, Java, .NET, Flask, ReactJS, SQL, Serverless Architecture, Data Engineering, ML for Ops