Available to hire
I’m Sathwik Pattem, a Go backend developer focused on designing high-scale, AI-enabled systems on GCP and AWS. I build distributed microservices, intelligent observability pipelines, and automation frameworks to deliver secure, data-driven SaaS platforms in cloud-native environments.
Over the past 4+ years, I’ve led AI-assisted performance optimizations, integrated Vertex AI for anomaly detection and real-time insights, and collaborated with SRE and AI Ops teams to implement predictive scaling. I thrive in agile teams, mentor peers on Go concurrency and modern backend patterns, and enjoy turning complex problems into reliable, maintainable solutions.
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Language
English
Advanced
Work Experience
Golang Backend Engineer at Robosoft Technologies
February 1, 2025 - PresentBuilt Golang microservices processing 1M+ daily transactions with AI-driven scaling, improving throughput by 25%. Implemented OAuth2.0 + JWT authentication and integrated Vertex AI anomaly detection, reducing fraud by 18%. Designed Grafana dashboards with LLM-based log summarization, cutting incident triage time by 40%. Engineered Kafka pipelines handling 50k+ events/sec with AutoML-based classification for real-time data insight. Automated monitoring and alert correlation using Python AI agents, improving reliability visibility.
Software Engineer at Cognizant
February 1, 2022 - December 1, 2022Built resilient Golang microservices handling over 1M daily POS transactions, ensuring high availability and low latency. Developed end-to-end monitoring using Prometheus and Grafana, enabling early detection of system anomalies. Delivered real-time data processing pipelines using Kafka and integrated BigQuery for operational insights. Automated PostgreSQL schema migrations using Terraform, improving deployment consistency and speed. Reduced mean time to recovery (MTTR) by creating actionable root cause analysis dashboards and structured logging.
Software Engineer at Mindtree
August 1, 2020 - January 1, 2022Developed Go-based CLI tools for Kubernetes diagnostics and enhanced operational visibility through advanced log querying. Refactored legacy monolithic applications into modular Golang/Java microservices, improving scalability and deployment agility. Implemented structured logging, real-time metrics collection, and predictive alerting to improve system uptime and monitoring accuracy. Automated Docker build pipelines and managed Kubernetes deployments using Helm and GitHub Actions. Modernized observability by migrating legacy tools to Prometheus/Grafana, aligning with industry SRE standards. Partnered with DevOps to establish Infrastructure-as-Code practices using Terraform, enabling consistent and scalable provisioning.
Education
Master of Science in Computer Information Science at Saint Louis University
January 1, 2023 - December 1, 2024Qualifications
Industry Experience
Computers & Electronics, Software & Internet, Professional Services
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