Vetted Software Development Engineers in California

Pre-screened and vetted in California.

AR

Mid-level Software Engineer specializing in backend systems and applied AI

Hayward, CA4y exp
Compass Group
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KR

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

San Francisco, CA4y exp
MercorUniversity at Buffalo
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VK

Mid-level Software Development Engineer specializing in cloud data pipelines and backend services

California, USA4y exp
McKessonUniversity at Buffalo
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DL

Junior Software Development Engineer specializing in enterprise SaaS and AI tooling

Pleasanton, California3y exp
WorkdayUniversity of Vermont
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SH

Mid-level Software Development Engineer specializing in cloud-native microservices and DevOps

San Jose, California6y exp
ServiceNowSaint Louis University
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AP

Mid-level Backend/Cloud Software Engineer specializing in Java, AWS, and microservices

California, United States5y exp
American ExpressUniversity of Colorado Boulder
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SF

Intern Full-Stack/Backend Software Engineer specializing in cloud-native systems and CI/CD

Santa Clara, CA4y exp
Easley-Dunn ProductionsUSC
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SS

Junior Software Engineer specializing in full-stack systems and LLM automation

San Francisco, CA2y exp
AscendGeorge Washington University

Full-stack engineer who shipped a production "Financial Insight" assistant dashboard in Next.js App Router/TypeScript, integrating a RAG pipeline (embeddings + ChromaDB + LLM) via route handlers and owning post-launch performance (latency, token cost, retrieval relevance). Also built/optimized Postgres-backed workflows for an outbound dialer and callback routing engine handling ~10,000 daily contacts, validating query performance with EXPLAIN (ANALYZE, BUFFERS).

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Ishaan Umesh Mandliya - Mid-Level Full-Stack Software Engineer specializing in AI/ML and cloud-native systems in Los Angeles, CA

Mid-Level Full-Stack Software Engineer specializing in AI/ML and cloud-native systems

Los Angeles, CA3y exp
DevolvedAIUSC

At BondiTech, built and deployed customer-facing backend improvements for enterprise dashboards handling 1M+ records, redesigning a .NET/Entity Framework API with server-side pagination/filtering and feature-flagged rollout to cut latency from ~15s to ~2s. Experienced integrating customer systems into existing APIs, including stabilizing a legacy CRM sync by normalizing inconsistent IDs, handling strict rate limits with batching, and adding DLQs plus reconciliation reporting.

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Sai Venkata Sathwik Golla - Mid-level Backend & Applied ML Engineer specializing in LLM systems and scalable APIs in Palo Alto, CA

Mid-level Backend & Applied ML Engineer specializing in LLM systems and scalable APIs

Palo Alto, CA3y exp
University at BuffaloUniversity at Buffalo

Backend engineer who significantly evolved an internal analytics/reporting platform (Python API + Postgres) powering self-service dashboards for product/business teams, focusing on reliability under heavy concurrent load and fast query performance. Demonstrates strong production engineering practices across API design (FastAPI), observability, incremental rollouts with feature flags, and data security using JWT/RBAC plus Postgres row-level security.

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Khushi Singh - Junior Software Engineer specializing in backend Python and cloud-native microservices in Stockton, CA

Junior Software Engineer specializing in backend Python and cloud-native microservices

Stockton, CA4y exp
Pixley.aiUniversity of the Pacific
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AM

Junior Full-Stack/Backend Engineer specializing in data pipelines and LLM tools

Remote, CA2y exp
VervewareUSC
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RP

Junior Full-Stack Engineer specializing in AI and LLM applications

Sunnyvale, CA3y exp
StealthNew York Institute of Technology
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JM

Mid-level Backend Software Engineer specializing in real-time systems and cloud microservices

San Jose, CA5y exp
VerizonUniversity of Central Missouri
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KS

Mid-level Applied AI Developer specializing in Generative AI and Python

Pleasanton, CA6y exp
SquareShiftArizona State University
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SY

Mid-level Software Engineer specializing in full-stack Java microservices and cloud

California, United States5y exp
HPUniversity of South Florida
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SA

Mid-Level Python Full-Stack Engineer specializing in Financial Services

SF Bay Area, CA4y exp
Northern TrustGeorge Mason University

Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.

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MS

Mid-level Java/Full-Stack Software Engineer specializing in Healthcare and Insurance systems

California, United States5y exp
HumanaNorthwest Missouri State University

Full-stack engineer in the healthcare domain (Humana) who owned an end-to-end member portal for benefits/claims/appointments, built with React and Spring Boot microservices on AWS. Notably migrated legacy batch data flows to a Kafka streaming pipeline and tuned consumers/partitions/backpressure to improve real-time consistency and achieve ~12% processing performance gains.

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MV

Mid-Level Software Engineer specializing in Java/Spring microservices and cloud event-driven systems

California, US5y exp
LTIMindtreeCalifornia State University, Long Beach

LLM/agentic-systems practitioner who has repeatedly taken LLM-driven pricing/decision services from prototype to production using pilots, guardrails, observability, and staged rollouts. Demonstrates strong real-time incident troubleshooting (dependency timeouts, cached fallbacks) and post-incident hardening (isolation/async/alerts), and also supports go-to-market via developer workshops, technical demos, and sales-aligned POCs.

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prashansa chaudhary - Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms and AI apps in Redwood City, CA

Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms and AI apps

Redwood City, CA4y exp
Stanford UniversityIllinois Institute of Technology

Software engineer who has owned customer-facing/internal platforms end-to-end, emphasizing fast iteration through small releases backed by monitoring and rollback safety. Built SurveyAI with reusable React/TypeScript components and a stateless Node.js REST backend with clear API contracts/validation, and created an internal Airflow + AWS Lambda automation tool integrated with Slack alerts to reduce manual work and improve response time.

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