Vetted Jira Professionals

Pre-screened and vetted.

LG

Mid-level Full-Stack Java Developer specializing in cloud microservices

IL, USA5y exp
Charles SchwabEastern Illinois University

Full-stack engineer with hands-on experience building a large-scale healthcare claims and provider-enrollment system end-to-end (React frontend, Spring Boot microservices, PostgreSQL on AWS). Optimized high-volume claims processing (millions of records/day) using indexing/pagination and asynchronous workloads via AWS Lambda/Kafka, and deployed containerized services with Docker/Jenkins on AWS.

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SK

Mid-level Data Scientist / ML Engineer specializing in streaming ML systems for healthcare and IoT

Urbandale, IA4y exp
John DeereAuburn University at Montgomery

ML/GenAI engineer with production experience building an LLM-powered governance layer that summarizes verified drift/performance signals into validation reports and release notes, designed for regulated environments with de-identification and non-blocking fallbacks. Strong Airflow-based orchestration background across healthcare and finance, integrating Databricks/Spark and MLflow for scalable retraining/monitoring. Demonstrated ability to partner with non-technical healthcare operations teams to deliver actionable risk-scoring outputs via dashboards and automated reporting.

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RR

Senior Software Engineer specializing in cloud automation and distributed systems

Duvall, WA8y exp
McKinsey & CompanySyracuse University

Developer with experience across Drupal and Java/Spring Boot applications using React/jQuery for UI and API-driven features. Has handled production issues by tuning reverse proxy timeouts for login problems and troubleshooting data pipeline inaccuracies by fixing database queries, with a focus on performance and careful verification before changes.

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NP

Navya P

Screened

Mid-Level Python Full-Stack Developer specializing in scalable microservices and cloud platforms

5y exp
Charles SchwabJawaharlal Nehru Technological University, Hyderabad

Backend engineer who built Flask-based microservices for a high-throughput risk engine, using Kafka for streaming decoupling and Redis for low-latency caching, with PostgreSQL + Cassandra for mixed relational and time-series needs. Has hands-on experience productionizing ML inference (Azure OpenAI/TensorFlow) behind REST APIs with async queues, batching, and caching, plus multi-tenant isolation via schema separation and RBAC with per-tenant rate limiting.

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NP

Neha P

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Texas, State4y exp
Bank of AmericaUniversity of Central Missouri

Full-stack engineer with Bank of America experience modernizing a large-scale financial reporting platform. Built React frontends and Java/Spring Boot microservice APIs end-to-end, optimized data-heavy SQL performance (indexing/caching/pagination), and implemented an AI feature for forecasting and anomaly detection using Python/scikit-learn, with deployments supported on AWS.

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CS

Charmil Shah

Screened

Mid-level Full-Stack Developer specializing in FinTech and cloud-native web apps

Remote, USA4y exp
Capital OneBinghamton University

Backend engineer who built a containerized Flask service powering an engineering metrics dashboard by syncing GitHub and Jira data into PostgreSQL, with strong emphasis on schema design, query performance, caching, and background processing. Has hands-on experience with SaaS multi-tenancy (tenant scoping + Postgres RLS) and integrating AI/ML inference via separate model-serving services (FastAPI + TensorFlow Serving) and external APIs (OpenAI/Hugging Face/PyTorch).

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HS

Mid-level GTM & Product Marketing Strategist specializing in B2B SaaS and GenAI

San Francisco, CA4y exp
SelfNeuron.aiDuke University

Growth creative marketer who led end-to-end experimentation for Kahana’s Oasis agentic browser launch, repositioning it as a task-specific “productivity multiplier” and validating the message via structured A/B tests across Meta, LinkedIn, and landing pages. Reported performance lift included CPA reductions (23% Meta, 17% LinkedIn) and a 28% ROAS increase, with a repeatable modular framework for rapid creative iteration and hands-on direction of UGC creators and editors.

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SC

Mid-level Full-Stack Software Developer specializing in LLM and agentic JavaScript platforms

Remote, United States5y exp
JPMorgan ChaseGeorge Washington University

Maintained and improved a set of JavaScript packages at JPMorgan, including a major refactor of an event-emission layer used in LLM streaming that delivered ~20% runtime speedup with no API changes. Known for a measurement-driven performance approach (profiling + simplification + validation), strong backward-compatibility discipline, and documentation that accelerates internal adoption and reduces support questions.

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SS

Sowmya Sree

Screened

Mid-level Machine Learning Engineer specializing in LLM agents, RAG, and MLOps

Dallas, TX5y exp
Bank of AmericaUniversity of North Texas

Built production LLM systems including a real-time customer feedback analysis and workflow automation platform using RAG and multi-agent orchestration with confidence-based human escalation, addressing privacy and legacy integration challenges. Also automated ML operations with Airflow/Kubernetes (e.g., daily churn model retraining) cutting retraining time to under 30 minutes, and demonstrates a rigorous testing/monitoring approach plus strong non-technical stakeholder collaboration.

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JZ

Jiawen Zhang

Screened

Junior Software Engineer specializing in full-stack and cloud infrastructure

Oakland, CA1y exp
Tuopu LLCUC Davis

Software engineer with hands-on AWS operations experience who owned an end-to-end manufacturing image ingestion pipeline (on-prem to AWS S3) integrated with MES/WMS. In an early-stage SaaS internship, diagnosed a load bottleneck using K6/New Relic and shipped an NGINX least-connection load-balancing solution that scaled to ~4000 RPS while reducing latency. Also improved maintainability and performance in a React/Node e-commerce codebase, cutting page load time from ~10s to 2.8s.

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BK

Bharath Katam

Screened

Mid-level QA Automation Engineer / SDET specializing in Financial Services and Healthcare IT

USA5y exp
Morgan StanleyDePaul University

QA automation engineer with end-to-end ownership of a loan-processing automation suite spanning UI, API, and database validations (Selenium/Playwright/TestNG/REST Assured; Java/Python). Caught and prevented high-impact financial defects (e.g., risk-calculation rounding errors) through CI-driven nightly regressions and API-to-DB checks, and has implemented maintainable Cypress patterns with flake reduction plus GitLab CI gating and Allure reporting.

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VR

Director-level Engineering & Technology Leader specializing in digital transformation and enterprise platforms

Edmond, Oklahoma21y exp
Longbridge FinancialMarist College

Providing technical guidance to a small team exploring a biomedical startup focused on earlier disease detection, including for remote/underserved areas. The venture is in ideation with initial research completed and is moving toward prototyping while exploring initial investment/support.

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SN

Director of Customer Success specializing in enterprise data platforms and hybrid cloud

18y exp
Voltron DataOklahoma State University

Enterprise Principal/Lead CSM with experience owning high-profile tech, fintech, and government accounts end-to-end, including regulated AWS high-side deployments for a GPU-accelerated query engine. Built onboarding and VoC programs from the ground up, drove 90% adoption in 2 months, and influenced roadmap changes delivering 10x performance gains. Previously led Cloudera’s Apple relationship across 40+ teams and delivered 125% NRR through cloud/hybrid expansion and POCs.

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GS

Grant Snyder

Screened

Senior Game Designer specializing in live-service systems and multiplayer

9y exp
Turn 10 StudiosColumbia College Chicago

Game designer from Turn 10 Studios who owned major Forza Motorsport multiplayer features end-to-end, including a refreshed competitive multiplayer mode built for live service (skill/safety ratings, rotating events, telemetry-driven tuning) and the post-launch return of Public Meetups shipped for the 20th Anniversary update under proprietary-engine/UI constraints. Also builds UE5 Blueprint prototypes (third-person action-adventure) with animation blueprints and data-table-driven randomized loot systems.

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RM

Senior Site Reliability Engineer specializing in multi-cloud Kubernetes and DevSecOps

Tallahassee, FL10y exp
Gainwell TechnologiesUniversity of the Cumberlands

Cloud/Kubernetes-focused production engineer with experience running 99.95% uptime platforms across AWS/Azure/GCP. Strong in incident response and performance troubleshooting (including a 30% MTTR reduction), and in building secure CI/CD and Terraform-based IaC for AKS/GKE microservices with robust change controls and rollback practices. Notably does not have direct IBM Power/AIX/VIOS/HMC or PowerHA/HACMP ownership.

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YM

Yogi Makadiya

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and DevSecOps

Seattle, WA3y exp
CuraJoyUniversity of Maryland, College Park

Backend-leaning product engineer with DevSecOps depth who has shipped real-time, Kafka-driven data pipelines and AI-enabled customer-facing features to production on AWS. Built a Spring Boot API layer serving real-time predictions at 100K+ requests/day, improving latency by 35% and user task completion by ~25%, and delivered a React/TypeScript dashboard plus a Postgres audit/history model optimized for search and large event volumes.

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MK

Senior Data Analyst specializing in data pipelines, web scraping, and legal data enrichment

Illinois, USA5y exp
The HartfordIndiana Wesleyan University

Data engineer focused on reliable, scalable analytics pipelines and external data collection. Has owned end-to-end pipelines processing 5–10M records/day, serving Snowflake data marts to Power BI/Tableau, and reports ~99% reliability through strong validation/monitoring. Also shipped versioned REST APIs for curated data with query optimization and caching.

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AH

Ansh Harjai

Screened

Junior Software Engineer specializing in AI, RAG systems, and backend development

Brooklyn, NY1y exp
New York UniversityNYU

Built an NYU software engineering capstone called “Smart Cash AI,” a multi-agent LLM-powered web app that curates offline-ready podcasts/articles/videos/news based on user preferences and commute schedules. Architected agent orchestration (discovery/downloader/summarizer), real-time progress via WebSockets, and an ETL normalization layer across RSS/YouTube and other sources with GUID-based deduplication, retries, and failure isolation to keep the system predictable.

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Dallas Grimm - Mid-level QA Tester specializing in video game testing and bug management in Woodland Hills, CA

Dallas Grimm

Screened

Mid-level QA Tester specializing in video game testing and bug management

Woodland Hills, CA4y exp
Infinity WardThe Art Institute of California - San Diego

Game designer with shipped experience on MLB The Show 20 (Road to the Show mode) and Call of Duty: Modern Warfare II (2019) campaign NVG feature, with a focus on progression tuning and realism/authenticity constraints. Currently building an Unreal Engine 5 game using Blueprints for level/VFX/interactions and C++ for scripting, iterating on exploration features like entering buildings.

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Sai Kondapaka - Mid-Level Software Engineer specializing in microservices, data pipelines, and FinTech fraud detection in Remote, USA

Sai Kondapaka

Screened

Mid-Level Software Engineer specializing in microservices, data pipelines, and FinTech fraud detection

Remote, USA5y exp
PayPalCalifornia State University

Backend engineer with PayPal experience owning a high-throughput, low-latency fraud detection pipeline processing billions of transactions/day, integrating LLM-based models into real-time Kafka streams and payment decisioning APIs. Strong Kubernetes + GitOps practitioner (declarative, auditable deployments; autoscaling/probe tuning) with migration experience modernizing legacy systems onto AKS/OpenShift.

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SNEHA KUSUMA - Mid-level Java Full-Stack Developer specializing in banking and telecom platforms in Dallas, TX

SNEHA KUSUMA

Screened

Mid-level Java Full-Stack Developer specializing in banking and telecom platforms

Dallas, TX5y exp
U.S. BankUniversity of Central Missouri

Frontend-focused engineer with experience at T-Mobile and U.S. Bank who maintained a TypeScript utility library (types, tests, build pipeline, and docs) adopted by multiple teams, and improved React workflow performance by refactoring components and optimizing data fetching. Known for pragmatic cross-team support—reproducing issues quickly, shipping well-tested fixes, and managing changes carefully to avoid breaking downstream apps.

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Brigif Bagus Santoso - Senior QA Engineer specializing in mobile and web application testing in Jakarta, Indonesia

Senior QA Engineer specializing in mobile and web application testing

Jakarta, Indonesia8y exp
Primaya HospitalBINUS University

Console game QA tester with hands-on experience validating functionality, UI/controls, loading/performance, and payment-related features across multiple console platforms. Works from structured test cases in TestRail, manages daily QA readiness and regression cycles, and escalates issues quickly via Jira bug cards while coordinating prioritization with developers and PMs under tight submission deadlines. ISTQB CTFL certified and interested in high-impact, demanding projects.

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Razim Julianto - Senior QA Engineer specializing in manual/automation testing for web and mobile products in Korea

Senior QA Engineer specializing in manual/automation testing for web and mobile products

Korea7y exp
SendbirdPadjadjaran University

QA tester with experience at Tokopedia (major Indonesian e-commerce) handling concurrent web/Android/iOS releases, including regression testing, stakeholder coordination, and full bug-ticket lifecycle management. Has additional PC/mobile game testing exposure (personal/adhoc) and uses AI tools to generate edge test cases and detect bug patterns; interested in taking on heavy, high-impact projects.

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Sreelekha Vuppala - Mid-level Data Scientist specializing in Generative AI, MLOps, and cloud data platforms in USA

Mid-level Data Scientist specializing in Generative AI, MLOps, and cloud data platforms

USA4y exp
CitiusTechArizona State University

GenAI/ML engineer (CitiusTech) who has deployed production RAG systems for compliance/operations document Q&A, using Pinecone + FastAPI microservices on Kubernetes with strong monitoring and guardrails. Also built a GenAI-powered incident triage/routing solution in collaboration with non-technical stakeholders, achieving 35% faster response times and 40% fewer misclassified tickets, and has hands-on orchestration experience with Airflow and AutoSys.

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