Sreeman Reddy Muthyala

Senior Software Engineer

United States6 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led critical infrastructure projects for Texas's power grid.
Engineered data migration systems at Amazon, improving efficiency.
Passionate about creating elegant solutions to complex problems.

Stackforce AI infers this person is a Full-Stack Developer with expertise in Cloud Architecture and Data Engineering.

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Skills

Core Skills

Full-stack DevelopmentCloud ArchitecturePerformance EngineeringDatabase OptimizationData Engineering

Other Skills

JavaTypeScriptAngularReactAWSAPI DevelopmentLeadershipKafkaWebSocketsPostgreSQLSQLUI/UX DesignKotlinYAMLData Migration

About

Passionate Senior Software Engineer with extensive years of experience building impactful web applications that solve real business challenges. My journey from Java developer to full-stack architect has given me a comprehensive understanding of the entire development lifecycle. At ERCOT, I currently lead critical infrastructure projects that support Texas's power grid reliability. Previously at Amazon, I engineered data migration systems that significantly improved storage efficiency while maintaining strict compliance requirements. What drives me is creating elegant technical solutions to complex problems. I believe in writing maintainable code that others can build upon, and I'm constantly exploring emerging technologies to improve my craft. Core Competencies: Full-Stack Development: Java, TypeScript, React, Angular, Spring Boot Cloud Architecture: AWS (S3, Lambda, DynamoDB), GCP, Kubernetes Database Optimization: PostgreSQL, Oracle, DynamoDB, QLDB Performance Engineering: Caching strategies, lazy loading, non-blocking I/O Agile Leadership: Sprint planning, backlog refinement, cross-team collaboration Open to connecting with fellow engineers and technology leaders to exchange ideas on scalable architecture, performance optimization, and innovative approaches to technical challenges.

Experience

6 yrs 10 mos

Total Experience

2 yrs 4 mos

Average Tenure

3 yrs 2 mos

Current Experience

Ercot

Senior Software Engineer

Apr 2023 – Present · 3 yrs 2 mos · Austin, Texas, United States · Hybrid

As a Senior Software Engineer at ERCOT, I work on building highly scalable, cloud-based solutions that power mission-critical energy systems.
Spearheaded the development of high-performance full-stack applications using Java, TypeScript, Angular, React, and AWS, optimizing system performance and scalability for over 200,000 active users. Implemented advanced caching strategies and API optimizations, reducing page load times by 35% and improving request processing efficiency by 50%.
Designed and optimized 20+ dynamic UI components with advanced validation logic, leveraging reactive forms and client-side validation techniques to reduce user input errors by 40%. Refactored reusable UI libraries, cutting front-end development time for new features by 25%.
Led real-time data validation integration, developing event-driven validation pipelines using Kafka and WebSockets to enhance input accuracy by 30% while reducing data errors by 15%. Optimized backend validation layers, cutting API validation latency by 40%.
Implemented and deployed 50+ critical database query patches in production, maintaining 99.9% uptime while resolving performance bottlenecks in under 2 hours. Optimized indexing, partitioning strategies, and SQL queries, reducing query execution time by 60% and improving overall database response times by 45%.
Redesigned UI/UX navigation with an improved information hierarchy and dynamic component rendering, leading to a 25% boost in user satisfaction and a 15% increase in feature adoption. Introduced lazy loading and efficient DOM updates, reducing page rendering time by 30% and improving first contentful paint (FCP) speed by 40%.

JavaTypeScriptAngularReactAWSAPI Development+3

Amazon

Software Development Engineer

Feb 2022 – Jul 2023 · 1 yr 5 mos · Seattle, Washington, United States · Hybrid

Developed and optimized the Cimarron Migration Tool, an enterprise-level data transfer system that migrated terabytes of data from Oracle to AWS S3, ensuring scalable and cost-efficient data storage. Implemented parallel processing, multi-threading, and adaptive compression algorithms, improving data transfer speeds by 65% and reducing storage costs by 62%.
Designed and enforced automated lifecycle policies for AWS S3 buckets across critical services like Checkbook, BCS, and SIS, using Intelligent-Tiering and archival rules, leading to a 21% increase in data retrieval efficiency and a 50% reduction in long-term storage expenses.
Automated monthly deployment workflows by creating a parameterized deployment template integrated with AWS CodePipeline and Terraform, cutting manual effort by 70% and ensuring seamless rollouts with zero downtime across distributed microservices.
Led the resolution of high-severity on-call incidents (SEV-2) with a structured debugging approach, leveraging AWS CloudWatch, ELK stack, and distributed tracing techniques, reducing critical system downtime by 40% and implementing proactive monitoring solutions that minimized recurring failures.
Architected a programmatic data deletion system (PD2) across QLDB, S3, and DynamoDB, using event-driven triggers and batch processing, reducing compliance-related delays by 33% and improving operational efficiency by 20%.
Conducted in-depth code reviews, optimizing high-throughput Java and TypeScript services, implementing lazy loading, memory-efficient data structures, and non-blocking I/O, leading to a 15% reduction in memory usage and a 20% improvement in API response times.
Collaborated with cross-functional teams to implement Agile best practices, refining JIRA workflows, backlog prioritization, and sprint planning strategies, which improved team velocity by 30%.

KotlinYAMLJavaAWSData MigrationCloud Architecture+1

Corpotech pvt limited

Java Software Developer

Jun 2018 – Dec 2020 · 2 yrs 6 mos · Hyderabad, Telangana, India · On-site

Developed and deployed enterprise-scale applications using Java, Spring Boot, REST APIs, and PostgreSQL, ensuring high availability and efficient microservices communication. Designed event-driven architecture with Kafka, improving system reliability and reducing inter-service latency by 35%.
Provided Level 2 (L2) support, resolving over 400+ high-priority production issues, including database inconsistencies, performance bottlenecks, and API failures. Improved resolution time by 40%, ensuring a 95%+ customer satisfaction rate.
Designed and implemented secure API integrations, optimizing JSON serialization, token-based authentication (JWT, OAuth2), and rate limiting strategies to enhance API security and performance. Reduced API response times by 30% through query optimizations and caching.
Developed automated monitoring scripts and alerting mechanisms using Grafana and Prometheus, reducing downtime incidents by 25% and proactively detecting issues before they escalated into SEV-1 or SEV-2 incidents.
Led database performance tuning efforts by optimizing indexing strategies, query execution plans, and connection pooling, resulting in a 50% improvement in query response times for high-traffic transactional data.
Implemented robust logging and debugging solutions using Log4J and structured logging techniques, improving issue traceability and debugging efficiency by 40%. Designed centralized log aggregation with ELK (Elasticsearch, Logstash, Kibana) to enhance log analysis.
Enhanced security and encryption mechanisms for handling sensitive customer data, implementing AES encryption, secure hashing (SHA-256), and TLS-based data transmission, strengthening data integrity and compliance with security best practices.
Conducted peer code reviews and refactored legacy Java codebases, reducing technical debt by 30% and improving application maintainability. Provided mentorship to junior developers, enhancing team productivity and adherence to coding standards.