Sreenivas Bolla

Led the design and implementation of fault-tolerant microservices architectures within six months, improving overall system reliability and uptime. Guided teams in applying SLOs and error budgets, increasing application resilience by 45% and reducing onboarding issues in the first quarter. Developed end-to-end observability for AI workloads, integrating OpenTelemetry and Python APIs, enhancing LLM performance insights within 6 months. Developed and implemented proactive anomaly detection frameworks across cloud-native microservices, enhancing service reliability and reducing alert fatigue by 45% within 6 months. Leveraged Agentic AI and Model Context Protocol (MCP) to autonomously analyze observability data, enhancing incident triage efficiency and reducing MTTR by 75% within 6 months. Developed a comprehensive incident management framework, cutting downtime by 55% within four months and improving response efficiency. Designed real-time Splunk dashboards to enable proactive monitoring, resulting in a 35% increase in system uptime and operational visibility. Engineered Python automation tools to streamline processes, reducing manual workloads and improving operational performance. Core Skills: Site Reliability Engineering (SRE) · Splunk Observability Cloud · AIOps · Infrastructure Automation · Incident Management · Cloud Monitoring (Azure, GCP) · Kubernetes · Python Scripting · OpenTelemetry · Capacity Planning

Transformed production issue resolution for EASE Mobile and EASE Web applications by addressing recurring downtime within AWS microservice APIs, improving system stability and user experience. Implemented SRE best practices, achieving a 20% reduction in system downtime and improving customer satisfaction through proactive monitoring and SLA enforcement. Engineered a unified observability framework using New Relic and OpenTelemetry, delivering full-stack visibility across AWS-based microservices. Deployed real-time tracing and AI-driven anomaly detection, reducing incident frequency by 45% and enhancing system reliability and performance consistency. Led the design and deployment of Snow to Go, a Python-based Slack web socket application built with Slack Bolt and hosted on AWS Fargate, enabling seamless operational collaboration. Automated ServiceNow’s manual change creation process via Snow to Go, achieving a 50% productivity boost by accelerating deployment cycles and reducing manual workload. Provided real-time leadership in critical incident response, leveraging New Relic and Splunk dashboards to rapidly detect, analyze, and resolve high-priority system issues. Designed SmartOps workflows and authored user-friendly runbooks to guide engineers in standardized and efficient operational procedures. Automated repetitive tasks, minimizing manual intervention in incident and change order creation, resulting in streamlined processes and improved operational efficiency.

Led the deployment and architecture of 20 microservice-based applications in a modern DevOps environment, enhancing performance, scalability, and delivery speed while boosting developer productivity by 70%. Directed DevOps operations with robust CI/CD pipelines to streamline integration and deployment of debit card applications, resulting in accelerated release cycles, higher efficiency, and improved customer satisfaction. Spearheaded the modernization of legacy mainframe systems into scalable Microservices APIs, enabling 70% faster deployments and significantly reducing development time for CDP debit card teams. Served as the Subject Matter Expert (SME) for production environments, overseeing change management, issue resolution, and root cause analysis (RCA) to ensure service stability and compliance. Led blameless post-mortems, fostering a culture of transparency and continuous improvement to strengthen system reliability and team collaboration. Designed and implemented automation frameworks and CI/CD pipelines, minimizing manual errors, increasing deployment consistency, and accelerating time to market for new features. Mentored and coached DevOps and engineering teams, cultivating technical growth, best practices, and a high-performance delivery culture.

Led testing and quality assurance for over 100 enterprise applications, leveraging DevOps automation tools to modernize and streamline testing for legacy Java and microservices-based applications. Proactively identified and eliminated defects prior to release, resulting in zero downtime for enterprise systems, improved software quality, and higher customer satisfaction. Directed a cross-functional team to design and implement a robust CI/CD pipeline, reducing software release cycles by 50% and increasing deployment frequency by 90%, significantly accelerating delivery and improving efficiency. Core Skills: DevOps Automation · Software Testing & QA · CI/CD Implementation · Microservices · Java Applications · Continuous Integration · Software Delivery Optimization · Team Leadership · Process Improvement

Engineered and deployed locomotive systems leveraging DevOps best practices for the Positive Train Control (PTC) application, ensuring seamless integration across a complex, interconnected railroad network and enhancing operational efficiency. Implemented PTC technology as a key safety innovation, significantly reducing the risk of train-to-train collisions and derailments due to excessive speed, thereby elevating overall railway safety and compliance standards. Optimized and engineered backend components, improving system responsiveness, performance, and maintenance efficiency for locomotive operations, resulting in enhanced reliability and superior user experience.

Led the migration of an Oracle ATG e-commerce B2B platform to a modern microservices architecture, implementing DevOps practices with continuous integration and delivery (CI/CD) pipelines. Orchestrated Kubernetes deployments in an on-premises environment, boosting development efficiency, accelerating time to market, and achieving an 80% improvement in business impact and customer experience. Transformed monolithic e-commerce systems into modular microservices using Spring Boot, Java, Docker, Kubernetes, and DevOps automation, improving scalability and maintainability. Implemented full CI/CD automation, eliminating licensing costs, reducing development cycles, optimizing resource utilization, and contributing directly to increased business revenue and operational agility.

Engineered Java-based e-commerce features for the NTelos website, optimizing development workflows and achieving a 20% increase in productivity while delivering an enhanced and user-centric online experience through innovative design and functionality improvements.

Led end-to-end B2B e-commerce website development, implementing a scalable microservices architecture using Java and Spring Boot, significantly improving system performance, reducing response times, and enhancing the user experience. Automated test suites with frameworks like JUnit, improving software quality, reducing manual testing efforts, and streamlining development workflows. Migrated legacy e-commerce websites to modern Java technologies with Spring Boot and Angular, achieving improved performance, scalability, and maintainability.

Led production support for the AT&T B2B e-commerce website, ensuring seamless operations, minimizing downtime, and maintaining high service reliability. Collaborated with clients to assess business requirements and designed tailored solutions, translating complex technical needs into effective, actionable implementations.

Led production support for the FMIC e-commerce website, transforming a legacy Java-based platform using modern commerce technologies to enhance performance and customer experience. Leveraged Java technologies including Java, JSP, Web Services, and Oracle ATG to optimize online purchase workflows, reduce downtime, and improve overall system reliability.