Software Engineer Sr

Nitin Jaitly

San Ramon, CA Cell Phone: 510-***-****

*****.******@*****.***

Engineering leader with over 15 years of proficiency in development and test working across different geographies and time zones. Outstanding ability of developing solutions to technically challenging problems with great leadership, communication and collaboration TECHNICAL EXPERIENCE

Sr Software Engineer / Consultant– Claire Gen AI Automation, Informatica, Redwood City, CA Nov 2024 – May 2025

• Automated and Tested Claire Gen AI using Python microservices

• Improved Automation performance, usability and correctness from 40% to 85%.

• Expanded coverage with CTE, RANK and Keyword NL Queries

• Expertise Testing and Developing Prompt Engineering Natural Language Queries

• Tested Models such as Qwen, Phi3, Mistral, GPT 4.0, and DeepSeek R1 with NL to SQL Conversions

• Built AI Agents in LangGraph using LangChain

• Used Springboot along with WebSockets for Claire AI Application

• Executed Claire AI NL and SQL on Databricks, and Snowflake connections

• Automated Business UseCase Demos using Node JS and Javascript for Claire AI Sr Python Developer – AI/ML Engineer / Consultant, ESS Analytics and Platform April 2024 – July 2024 Experian, San Jose

• Registered and created new REST APIs for AI/ML Models as part of Ascend Ops Analytics Platform at Experian on AWS

• Deployed docker containers to Amazon ECS using task definitions, security groups, targets, target groups, images, and application load balancers and configured inbound / outbound rules.

• Created Grafana metrics Dashboards for Standalone AscendOps - MLOps systems by scraping Prometheus metrics between AWS projects, used AWS Serverless with Lambda and Step Functions

• Experience working with S3 buckets and DAGs on Airflow

• Added features for AscendOps AI/ML Model Monitoring APIs such as EMAP Entitlements using FastAPI

• Proficient with Networking protocols like HTTP, HTTPS, DNS. Configured ports such as 8000, 8082 And added firewall rules in AWS Application Load Balancer Security group to expose docker container ports

• Acquired proficiency with AWS, Python libs Pandas, Numpy, Django, FastAPI, scikit-learn and MySQL DB

• Used FastAPI and Uvicorn libs to deploy docker Python Microservices into AWS ECS using Jenkins

• Debugged Python in Fast API applications for Model Monitoring and Model Serving APIs

• Fixed and Added new unit Tests written in Pytest for EMAP Entitlements feature

• Used Terraform to deploy Application Load Balancer and add rules for Security Groups and expose container ports

• Used Spring REST for SpringBoot for Application Development

• Optimized Databricks workflows using PySpark and SQL, automating data transformation process for Experian’s analytics sandbox, resulting in a 30 %. reduction in query latency for business intelligence dashboards

• Utilized Apache Spark architecture to enhance data processing efficiency, implementing Spark SQL for complex data transformations

Sr Software Automation Engineer / Consultant, SPG (Special Projects Group) Feb 2024 – March 2024 Autonomous Systems, Apple, Santa Clara, CA

• Supporting the Infrastructure and Data team within Special Projects Group at Apple. Tech Stack includes – Bazel, Django, GraphQL, Ansible, Dockers, Kubernetes, Python, Conda, Linux. Used existing Django framework for Data Ingestion on Autonomous Systems Exabeam Consultant / Software Engineer / SLM SIEM Security Engineer Nov 2023 – Jan 2024 Experian, Remote

• Created multiple custom Exabeam parsers for Experian data through multiple sources such as Barracuda – WAF Web Application Firewall, McAfee, Microsoft, Proofpoint, IBM, Sonicwall Sr Software Engineer, Systems Integration Oct 2019 – Oct 2023 Exabeam Inc, Foster City / San Ramon, CA.

• Architected and Designed System Integration Automation using Kubernetes, CI/CD, Jenkins, Python and Robot Framework Libs.

• Spearheaded strategic initiatives to optimize testing procedures and enhance product quality

• Reviewed and added new Terraform code for UIP artifacts such as GCS Buckets, Pub/ Sub and Microservices

• Tested and Automated numerous APIs through System Integration tests on Microservices

• Integrated ML components testing for Apache BEAM within the Network Security Analytics data pipeline

• Implemented Automation Architecture for System Integration and Functional and Performance tests

• Achieved 85% test coverage by instantiating multiple parsers within Exabeam’s TDIR data pipeline

• Used data structures such as Python dictionaries to verify end to end raw logs on GCP data pipeline

• Expertise in testing Big data along with Open Source tech stack such as Kafka and Elastic Search

• Cross collaborated with multiple teams in Exabeam to implement end to end testing framework

• Proficient with LogStash REST APIs for Indexes and Shards, Index, Licensing, Shard, Logstash, Query Rules, Search, Security,SQL, Query Rules

• Acquired proficiency with AI Driven Security Ops with Exabeam TDIR (Threat Detection and Incident Response), ML Models, Anomaly Detection and LLM with BEAM component in data pipeline.

• Lead teams to enhance Exabeam Flagship products “Advanced Analytics”, “Data Lake”, “Cloud Connectors”,

“Site Collectors”, and “Incident Response” Cloud Security Intelligence Platform Tech stack includes Dockers, Kubernetes, Kafka, Django, MongoDB, Elastic Search, Logstash, Grafana, GCP

• On boarded and Lead a team of 20 engineers across US and India for Test Planning, Automation and Execution

• Adept at GCP Spanner, GCS Google Cloud Storage, Big Query, GKE, GKE with Cloud Code, Kafka, Cassandra, Mongo DB. ECP (Exabeam Cloud Platform), LDAP, CI/CD, Github /GitLab, GCP IAM

• Expert in Python, Java, Perl, Bash, Linux Internals and shell scripting along with SQL

• Excellent Troubleshooting skills in various Big Data and Analytics components such as Elastic Search, Kafka, Hadoop, HDFS, YARN, Hive, Hbase, Spark, Kafka, Grafana and Prometheus in a Docker and Kubernetes environment.

• Responsible and skilled at End-to-End Raw Log validation for Exabeam microservices on GCP for multiple data paths.

• Increased Engineering Productivity by mentoring multiple engineers using communication, resolve blockers, and quick merges

• Gated Alert and Case Management release for the System Integration team using End to End Data driven Automation on GCP

• Collaborated with multiple engineering teams including build engineers to resolve Jenkins and CI / CD issues. Sr Server Software Engineer Jan 2019 – Oct 2019

Anchorfree Inc, Redwood City, CA

• Enhanced Anchorfree’s internal HotSpot Shield Server test code base on Python 3.7

• Collaborated on Pylint and PEP 8 to enhance coding standards

• Developed and deployed features for ReportPortal, AI powered test Automation dashboard.

• Used Python 3.7 to build a test framework to test Host Spot Shield, Anchorfree’s flagship VPN Server.

• Accomplished switching dockerized Python logging from internal QA reporting database to opensource ReportPortal with using ReportPortal Loggers.

• Crafted new Python repositories, Python submodules and modified core Python libraries to provide REST based API support for ReportPortal.

Software Consultant RJT, Sr Reliability Engineer April 2018 – Dec 2018 Barrick Digital, Pleasanton, CA

• Designed, Developed and Deployed a Python based automation framework to verify source data moved from traditional RDBMS to AWS S3 and RDS using Apache PySpark.

• Created a CI/CD pipeline for Code / Infra / Data based deployment pipelines using GitLab.

• Used AWS Athena APIs to create data verification system, using Boto3 and AWS Serverless

• Developed Python framework to verify data forms such as Avro and Parquet within AWS S3 Buckets.

• Adept at AWS CLI, Boto3, Lamda Functions, AWS EMR and Big Data Parquet files, AWS Glue and Athena

• Debugged, created and tested microservices in GoLang Sr. Software Engineer in Test Jan 2013 – Jan 2018

Dell Sonic Wall, Santa Clara, CA

• Acquired proficiency with ESXi Virtualization 6.5

• Proficient using TCP dump and looking at TCP packets using Wireshark

• Configured DNS servers and proficient with Networking Protocols such as HTTP, FTP, SMTP, DNS, TCP, UDP, IP, ICMP

• Designed, developed, and authored product licensing verification system for LM License manager using REST API defined in Java. The Framework is written from scratch in Python and Perl with MySQL.

• Created Hadoop cluster using Cloudera CDH5 to parse License Manager production logs

• Tested Cloud GMS components in the cloud including a tunnel terminator webserver

• Found software breaking points by Performance and Load testing using Apache JMeter for backend products like License Manager webserver in Java, and Capture ATP for REST based API testing

• Found critical bugs in underlying tomcat webserver such as Jsession id errored format for LM

• Directed software releases and communicated newly found defects and regressions to Dev / QA.

• Supervised deployment of LM backend builds to Production after releasing them through QA and Prod Sim environments.

Software Consultant – RJT / Apolis

Mobile QA Lead Jan 2011 – Dec 2012

Gracenote Inc, Emeryville, CA

• Designed and developed an hourly validation system in Python for music meta data CoverArt

• Imported data from Oracle and MS SQL and designed Hive scripts for Apple Genius V2 project Middleware Integration Engineer, Oracle ERP June 2010 – Dec 2010 Chegg Inc, Santa Clara, CA

• Developed and Maintained a Publish / Subscribe based middleware integration solution to integrate Oracle ERP systems and legacy Core systems using Mule ESB Software Developer, Informix SQL Optimizer R&D Development Sep 2006 – March 2010 IBM, San Jose, CA

• Acquired proficiency in building Informix DB on 11 different platforms including Windows, Unix, AIX using gcc compiler

• Oversaw Bug Fixes / Code Reviews in C within the Query Optimizer Group for Informix DB. Used tools such as CScope, gdb, dbx, Sun Studio 11 over Linux platforms.

• Gained knowledge of called functions and their functionality in Query Optimizer, Parser, control block, development nodes, trees, plans and execution.

• Maintained functional test suite for Informix Dynamic Server. Informix has an in-house test suite using .drv,. req, .out, .sh files. (Using Perl and Shell Scripting)

• Debugged basic sql and optimizer data structures and functions in the optimizer code in C. Understood code path for Joins (Nested Loop, Dynamic Hash, Sort-Merge, Semi), Filters (upper index, lower index, key first), sequential and index paths. CERTIFICATION & TRAINING

ML Specialization – Coursera (Deeplearning.AI / Stanford) ChatGPT Prompt Engineering for Developers (Deeplearning.AI) Architecting with Google Kubernetes Engine by Google Cloud on Coursera GCP Training on Vertex AI

SCJP / OCA / Python3 Essentials Lynda / Advanced Python Lynda Fundamentals of Data Engineering – OReilly Joe Reis & Matt Housley EDUCATION

Continuing Studies – Tame Big Data to Drive Big Insight Stanford University

Master of Science (MS) - Computer Engineering

San Jose State University

Bachelor of Engineering (BE) - Computer Science and Engineering Kalinga Institute of Technology and Science, Utkal University IMMIGRATION

Permanent Resident (Green Card Holder)

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