Vetted Java EE Professionals

Pre-screened and vetted.

SP

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

Canada6y exp
Rediron TechnologiesCambrian College
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DS

Mid-level Software Developer specializing in cloud microservices and full-stack platforms

Frisco, TX5y exp
State FarmUniversity of Texas at Dallas
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JS

Johnnie Sanders

Screened ReferencesModerate rec.

Executive AI Architect specializing in enterprise cloud and FinTech solutions

Lewisville, TX15y exp
11-11 Solutions Ent.Purdue University

Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.

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SB

Silpa Bhavani

Screened

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

Oakland, CA5y exp
BlockLamar University

Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.

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NT

Mid-level Software Engineer specializing in backend systems for FinTech

Dallas, TX4y exp
Goldman SachsUniversity of Central Oklahoma

Senior software engineer with hands-on experience leading multi-agent AI workflows in financial trading infrastructure. Most notably, they applied a specialized agent setup on a high-frequency trading backend to cut delivery time from three weeks to ten days while improving validation against risk, performance, and compliance requirements.

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Neeshma Narahari - Mid-level Software Developer specializing in backend microservices and cloud platforms in Irving, TX

Mid-level Software Developer specializing in backend microservices and cloud platforms

Irving, TX6y exp
McKessonUniversity of Central Missouri

Full-stack product engineer with strong React and TypeScript depth who has owned dashboard features end-to-end, from UI architecture and rendering optimization through Spring Boot APIs and database query tuning. Particularly compelling for startup or high-growth teams: they’ve shipped 0→1 internal operations platforms, prioritized MVP workflows effectively, and iterated post-launch using user feedback, logs, and usage metrics.

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AV

Aditi Verma

Screened

Senior Backend Engineer specializing in FinTech microservices

Pune, India7y exp
CitibankUniversity of Texas at Austin

Built end-to-end financial workflow platforms at Citi spanning React frontends, Spring Boot microservices, Kafka, Redis, and Oracle. Particularly compelling for teams needing someone who can modernize legacy systems into real-time architectures—the candidate cites a 48x throughput improvement from a batch-to-Kafka modernization effort.

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NG

Executive Technology Leader specializing in Financial Services, Payments, and Cloud/AI modernization

Dallas, TX24y exp
Augusta HitechCarnegie Mellon University

CTO/enterprise architect who stays hands-on in code while leading strategy, stakeholder alignment, and team scaling. At Eastridge, established product and technology vision/roadmap, built product engineering/strategy functions, and helped launch products into global markets; most recently led GenAI product design including tech selection, infrastructure, scalability, and observability.

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ES

Senior Engineering Manager specializing in cloud platforms and risk systems

16y exp
Capital OneGovernment College of Technology, Coimbatore

Engineering leader who proposed and delivered a new API-based document management platform to replace a vendor-dependent system, improving latency by ~1s and availability to 99.9% while migrating legacy data. Also drove Python-based automation of ~12 workflows via third-party API integrations and led an SSO/auth integration focused on backward compatibility and high login success rates.

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AV

Mid-Level Software Engineer specializing in cloud infrastructure and microservices

SLC, USA3y exp
Goldman SachsGeorge Mason University

Backend engineer who has led major platform evolution to cloud-native microservices (Spring Boot on AWS with Terraform) and built scalable, secure FastAPI APIs. Demonstrates strong production rigor with metric-driven validation, canary/phased rollouts, and incremental migrations using shadow traffic/feature flags/parallel writes—achieving faster deployments, fewer incidents, and zero-downtime traffic spikes and migrations.

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AA

Mid-level Full-Stack Java Engineer specializing in FinTech

United States4y exp
CitigroupUniversity at Buffalo

Engineer with hands-on experience across frontend, backend, and data systems, including React/TypeScript UI work at CitiGroup, ETL pipeline ownership at Accenture, and personal 0→1 builds like an AI chatbot and a real-time multiplayer typing platform. Stands out for combining product-minded prioritization with strong implementation depth in performance optimization, type-safe frontend architecture, and resilient data pipeline design.

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DD

daniel doman

Screened

Principal Cloud & Cybersecurity Architect specializing in regulated financial and government environments

New York, NY35y exp
TPGConsultingPitzer College

Serial venture builder/operator across ad tech, media delivery, search engines, international content management, and ecommerce; has raised up to $150M and been involved in 8 acquisitions or IP-acquisition events. Known for refactoring/re-engineering smaller or troubled platforms into higher-value businesses, including building yield-management algorithms and a Kafka-like system to improve ad delivery profitability.

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Venkata Phaneendra - Mid-Level Java Full-Stack Developer specializing in cloud-native microservices in United States

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

United States6y exp
State FarmMurray State University

Full-stack engineer with production ownership across React/TypeScript, Node/Express, and Postgres, including zero-downtime releases and rollbackable migrations. Demonstrated measurable performance wins (20% response-time reduction) through DB query profiling and batching, plus hands-on AWS operations (ECS/Lambda/CloudWatch) and reliability patterns for ETL (retries, DLQs, idempotency). Experience shipping microservices quickly in ambiguous, fast-paced environments (Deloitte).

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Jhansi Bendi - Senior Software Engineer specializing in cloud-native microservices and event-driven systems in Antioch, CA

Jhansi Bendi

Screened

Senior Software Engineer specializing in cloud-native microservices and event-driven systems

Antioch, CA18y exp
SephoraRashtriya Sanskrit Sansthan

Senior engineer/tech lead with 18+ years building large-scale distributed applications, specializing in performance and reliability improvements. Recently owned multiple apps on an email personalization team, shipping major optimizations (including a push-update feature and audience-count architecture redesign) that reportedly lifted system performance from ~50% to ~99% while also leading code standards, reviews, and mentoring.

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PD

Mid-level Full-Stack Engineer specializing in enterprise SaaS and optimization platforms

Redwood City, CA5y exp
C3 AINortheastern University

Full-stack engineer with strong enterprise delivery experience across manufacturing and semiconductor use cases, owning deployments from discovery through post-launch support. Stands out for combining traditional product engineering with applied GenAI workflows and data pipeline reliability work, including a manufacturing app that reportedly saved a Fortune 500 customer about $6M and an AI chat panel adopted by 70% of pricing analysts.

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JS

Jim Saunders

Screened

Executive CTO and software engineer specializing in FinTech platforms

Austin, TX18y exp
AccelpayUniversity of Kentucky

CTO-oriented engineering leader who emphasizes building and mentoring teams while aligning technology work to real business needs through close collaboration with product stakeholders. Also has entrepreneurial exposure, including an alcohol-related startup and prior experience securing funding.

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BR

Mid-Level Software Engineer specializing in cloud-native distributed systems

Sunnyvale, CA5y exp
WalmartArizona State University

Backend/platform engineer who has built and run production Python/Flask + Kafka microservices processing RFID and camera/RFID fusion streams for near-real-time retail cart updates at ~4–5M events/day. Strong in reliability/performance debugging (p99 latency, Kafka lag, Cosmos DB RU hot partitions) with measurable impact including ~30% database cost reduction, and has also shipped an end-to-end vulnerability scanning workflow with DynamoDB-backed state, idempotency, and robust retry/verification guardrails.

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Srinivas Matta - Mid-Level Full-Stack Software Developer specializing in cloud-native web platforms in Paducah, KY

Mid-Level Full-Stack Software Developer specializing in cloud-native web platforms

Paducah, KY4y exp
IntuitSoutheast Missouri State University

Software engineer at Capital One who owned and shipped AI-driven personalization and internal insights dashboards end-to-end, emphasizing fast iteration with feature flags and tight user feedback loops. Built a TypeScript/React + Spring Boot/Python document automation platform with compute-heavy NLP microservices, async workflows, and production-scale reliability/performance practices (Kafka/RabbitMQ-style queues, Redis caching, tracing).

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NIDHEESH VELUTHERI - Senior Full-Stack Engineer specializing in modern web applications in Toronto, Canada

Senior Full-Stack Engineer specializing in modern web applications

Toronto, Canada13y exp
Loblaw CompaniesBITS Pilani

Frontend engineer with insurance-domain experience (AAA Insurance and insurance quoting flows) who has delivered Angular/React/Next.js products end-to-end. Notable for building a complex drag-and-drop email template/code-generation UI and for modernizing React codebases (Redux->Context, lazy loading, memoization) to improve performance and reduce security vulnerabilities, while using feature flags and strong QA automation for fast, controlled releases.

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Ramesh Namperumal - Executive technology leader specializing in AI/ML, data engineering, and enterprise architecture in Alpharetta, GA

Executive technology leader specializing in AI/ML, data engineering, and enterprise architecture

Alpharetta, GA27y exp
Gantec CorporationUniversity of North Carolina at Charlotte

Technical founder building an AI IT helpdesk agent startup, currently leading product development as acting CTO/CPO and doing much of the development personally with a small partner group. Brings years of cross-industry technical experience, product/vendor evaluation expertise, and a deliberate strategy to delay outside capital until the product and customer traction are stronger.

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MS

Executive Technology Leader specializing in enterprise IT, cybersecurity, and AI transformation

Panama City Beach, FL29y exp
AvasantUniversity of North Texas

C-suite operator across multiple private-equity portfolio companies now raising capital for a thesis focused on meeting AI datacenter energy demand via AI-driven monitoring/inspection and condition-based maintenance for nuclear and natural gas generation. Has early traction with PE firms and is engaging target acquisition candidates, aiming to serve as an operating partner or CEO to execute the value-creation plan. Previously delivered a mobile-enabled workflow improvement for mutual fund valuation using HTML5 responsive design and CAB-driven agile development.

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BA

Executive Engineering Leader specializing in AI, SaaS, and Data Platforms

28y exp
Mosaic LearningUniversity of Utah

Technology executive (VP/SVP Engineering, CTO/co-founder) with ~17 years of roadmap execution and the last 7 in senior exec roles. Notably led an AI-first strategic pivot when generative AI emerged—creating the AI product strategy, reskilling teams, and shipping initial AI features—while also scaling engineering orgs using SPACE metrics and driving major architecture decisions (custom reporting with React + Redshift) to close competitive gaps.

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JR

Executive Technology Leader (CTO/VP Engineering) specializing in AI strategy and scalable platforms

San Francisco, CA18y exp
StealthUC Davis

Part-time founder building a bootstrapped IT startup in the R&D phase, running multiple product iterations and cost/benefit analyses to validate uniqueness and monetization potential. Has prior experience working for venture capital firms and is familiar with how accelerators operate, with a strong focus on finding investors who can be true thought partners for rapid pivots.

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