Saisree Madadi

Senior Software Engineer

Hyderabad, Telangana, India5 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable AI and ML platforms.
Proven track record in cloud-native microservices development.
Strong background in security and compliance enhancements.

Stackforce AI infers this person is a SaaS expert with a strong focus on AI/ML and cloud development.

Contact

saisreereddymadadi33@gmail.com LinkedIn

Skills

Core Skills

Cloud DevelopmentBackendArtificial Intelligence (ai)Machine Learning

Other Skills

AIAI AgentsAWSBack-End Web DevelopmentCI/CDCLI toolingData structures and Algorithms DSADeep Reinforcement LearningDevOpsDockerEmotion Aware ReasoningEnergy Efficient AI SystemsFlaskFull-Stack DevelopmentGo

About

As a Senior Software Engineer at ServiceNow, I work on developing and enhancing our product, AI Toolkit, a ML development environment that provides compute, tools, and data to build and experiment with AI models. I have over 5 years of experience in AWS, Python, Node.js, Go, Research & Development, Flask, Fastapi, Django, GraphQL, Docker, Kubernetes, MongoDB, MySQL, Cassandra, CI/CD pipelines, Backend, Splunk, Prometheus, Grafana, AI/ML and more.

Experience

Servicenow

2 roles

Senior Software Engineer (SDE-3)

Promoted

Feb 2025 – Present · 1 yr 1 mo · Hyderabad, Telangana, India

Driving access control, CLI tooling, and platform innovation across our internal AI environment. I led the design of granular user lifecycle features like deactivate/reactivate with full auditability, reduced admin overhead by 30% through extended RBAC controls, and enhanced traceability with metadata enrichment across systems. I integrated real-time token streaming and chatbot interactions into our CLI, improving developer workflows and UX. My contributions to security and compliance—especially in large-scale user cleanup—boosted posture across the org. As part of our innovation hackathon, I co-created an AI-powered learning platform, showcasing our infrastructure’s creative potential.

AWSPythonCLI toolingRBAC controlsmetadata enrichmentCloud Development+1

Software Engineer (SDE-2)

Oct 2022 – Present · 3 yrs 5 mos · Hyderabad, Telangana, India

Built and scaled core components of our internal AI Toolkit—an ML development platform powering internal AI teams, external collaborators, universities. I resolved 150+ security vulnerabilities across 30+ services, centralized AWS logging to Splunk, and improved observability at scale. Through deep storage analysis, I helped cut platform storage costs by 20% and built high-performance Storage APIs with caching and custom Go-based CLIs. I also developed numerous Grafana dashboards and alerting pipelines for real-time insights, integrated with Teams. My work on network policies, repo migrations, and CI pipelines helped modernize and secure our development ecosystem.

AWSSplunkGrafanaGoCI/CDMachine Learning+1

Tata consultancy services

Software Engineer , Digital ( Client - Apple )

Jul 2020 – Oct 2022 · 2 yrs 3 mos · India

Engineered a real-time, rule-based alerting platform processing massive volumes of Apple product metadata using Node.js, GraphQL, Python, and NoSQL, delivering intelligent user alerts at scale. Built and deployed cloud-native microservices with Docker and Kubernetes, authoring advanced YAML configs (Ingress, StatefulSets, Network Policies) for seamless orchestration. Leveraged AWS (EKS, Lambda, SQS, SNS) to automate alert workflows and schedule dynamic rule evaluation. Integrated Splunk for end-to-end observability—configured log pipelines, built interactive dashboards, and set up Slack-integrated alerts, enabling real-time operational visibility. Delivered a production-grade, highly resilient system that fused automation, scalability, and proactive monitoring.

Node.jsGraphQLPythonNoSQLDockerKubernetes+2

Auctoro

Software Developer

Jan 2020 – Jun 2020 · 5 mos

Spearheaded end-to-end backend development for a recruitment platform, owning the entire architecture and implementation across recruiter and candidate workflows. Built scalable REST APIs using Python (Flask) and Node.js, enabling advanced search, filtering, and matchmaking features. Designed and deployed a fully serverless, event-driven system on AWS using Lambda, Chalice, SQS, SNS, Rekognition, and Kinesis—powering resume parsing, video resumes, and real-time job matching. Automated infrastructure and deployments via Docker and native CI/CD tools (CodePipeline, CodeBuild, CodeDeploy). Played a pivotal role in shaping the MVP and scaling backend systems, directly accelerating the startup’s product velocity and launch readiness.

PythonFlaskNode.jsAWSDockerBackend+1