Pritish Thombare

Software Engineer

Austin, Texas, United States3 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led migration to open-source observability infrastructure.
Developed AI-driven solutions for data classification.
Expert in building scalable distributed systems.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and E-commerce.

Contact

pritish1998thombare@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsObservabilityArtificial IntelligenceData EngineeringBackend Development

Other Skills

Amazon Managed PrometheusAmazon Web Services (AWS)Apache KafkaApache SparkArtificial Intelligence (AI)Batching LogicBeautiful SoupC++Computer NetworkingCore JavaDatabase Management System (DBMS)DockerElasticsearchGolangGrafana

About

Backend-focused Software Engineer with 3+ years of industry experience across high-scale companies like Confluent, Flipkart, and Visa. Skilled in building distributed systems, observability platforms, and event-driven microservices using Java, Go, Kafka, Kubernetes, and AWS. Proven ownership of production systems, infra migrations, and monitoring stacks. Strong foundation in CS fundamentals and system design; SKILLS AND LANGUAGES  Subjects: Data Structures, Algorithms Design and Analysis,  Concepts: Object Oriented Design and Programming, Low-level and High-level System Design, Multithreading  Programming Languages: CPP, Java 8, Python  Frameworks: Dropwizard, Play, Spring Boot, PySpark  Databases: MySQL, PostgreSQL, MongoDB, Elasticsearch, Redis  Web/Application Servers: Jetty  Tools: Postman, IntelliJ, Maven, Hibernate  Version Control: GIT  Testing: JUnit5, Mockito, Unit Testing  Operating Systems: Windows, Mac, Unix

Experience

3 yrs 6 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 5 mos

Current Experience

Confluent

2 roles

Software Engineer

Jan 2025 – Present · 1 yr 5 mos · Austin, Texas, United States

Led migration of dashboards, alerts, and SLOs from Datadog to Amazon Managed Prometheus (AMP) and Grafana, replacing vendor tooling with open-source observability infrastructure while maintaining alert parity and production reliability.
Implemented resource-level RBAC to enforce the Principle of Least Privilege by decoupling metadata access from global search, introducing a new ReadUserMetadata authorization primitive and coordinating cross-service changes across security and search.
Implemented a typed watch–based OpenSearch indexing pipeline using Kubernetes CRDs by separating Extractor and Indexer responsibilities, enabling schema-driven onboarding of new resource types and safe handling of snapshots, migrations, and bulk indexing.
Added a REST API for org-level resource search by proxying internal gRPC-based search services, enabling external consumers to query centralized OpenSearch-backed indices efficiently.

JavaGolangDistributed SystemsObservability

Software Engineer Intern

Jun 2024 – Jan 2025 · 7 mos · Austin, Texas, United States

Enhanced the AI Service by developing a new Golang endpoint for the Auto Data Classification project, which suggests tags for Kafka topics as well as the fields in the topic schemas.

JavaApache KafkaArtificial Intelligence

Flipkart

Software Development Engineer

Jul 2021 – Dec 2022 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

Worked on internal seller console for bulk operations on product attributes using batching logic and Redis queue.
Solved concurrency issue while associating images to a product by employing Redis based distributed locking on image md5 hash, thus preventing creation of duplicate images.
Completed end-to-end migration of over 4 micro-services from Virtual Machine infra setup to Kubernetes.

ElasticsearchMongoDBDistributed Systems

Visa

Software Engineer

Oct 2020 – Jun 2021 · 8 mos

Developed a unified data pipeline using Python that processes user interaction data with a Chatbot deployed on the website, fetched from different data sources, and stores it in HDFS using Pyspark.
Created user-friendly and customizable dashboards on Power BI based on the above-fetched data to provide chatbot performance insights to the management.
Designed a framework to load data from source systems to the Data Lake in Hadoop more efficiently and reduce manual efforts by 80 percent.

HadoopApache SparkData Engineering

Zeotap

Software Engineer Intern

Jan 2020 – Jun 2020 · 5 mos · Bengaluru, Karnataka, India

Worked with the back-end development team on the product ’Connect’ to develop robust and modular APIs using Java-based Play framework.
Monitored the consumer lag in Kafka topics by building an interactive Grafana dashboard with Prometheus to store the lag metric data.

JavaPostgreSQLBackend Development