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Vetted Jira Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Engineering leader specializing in data platforms and distributed systems
Senior QA Automation Engineer specializing in web, mobile, and hardware testing
Senior QA & Localization Professional specializing in mobile apps and conversational AI
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Director-level Technical Program & Engineering Leader specializing in global platforms, AI automation, and infrastructure
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Product Designer specializing in mobile consumer UX, creator tools, and marketplaces
Senior Software Engineer specializing in FinTech payments and scalable platforms
Executive Technology Leader specializing in FinTech and large-scale data platforms
Senior Software Engineer specializing in cloud-native microservices and observability
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Senior AI Engineer specializing in machine learning, NLP, and generative AI
Kanaad Deshpande
Intern Software Engineer specializing in distributed systems and cloud infrastructure
“Built and operated a production warehouse metadata collection platform at Sigma Computing, integrating Go/gRPC services with a TypeScript backend and MySQL, with strong emphasis on idempotency, retries, bounded-concurrency job queues, and Datadog-based observability. Also created Kurral (kurral.com), an AI agent runtime security and observability/governance SDK/proxy concept, iterating via pilot-customer feedback and market research; targeting founding engineer roles with $180–200k base and ~2–5% equity.”
Manaswini Gogineni
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
Roshan Raj
Intern Software Engineer specializing in robotics, autonomous vehicles, and embedded AI
“Robotics software engineer with internship experience at John Deere and AeroVironment, working across C++/Python stacks and ROS2-based systems. Drove a proof-of-concept migration from an x86/FPGA target to NVIDIA GPU solutions and helped turn a hackathon prototype into a production-ready, CI/CD-driven build-and-deploy workflow with comprehensive automated testing.”
Mitul Sheth
Senior Engineering Manager specializing in cloud security and graph-based data platforms
“Engineering leader at Sysdig Secure who pitched and prototyped a model data platform that initially got rejected, then proved value by migrating the CIEM offering and expanding adoption across multiple verticals. Now owns the CIEM suite plus the broader Sysdig Secure data and reporting platforms, manages 14 direct reports, and also leads a pilot AI team while remaining hands-on weekly.”
Nikhil Reddy
Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms
“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”