Vetted Jira Professionals

“Senior frontend engineer focused on complex internal operations and payment products, with deep experience building React/TypeScript dashboards for payments, subscriptions, and observability workflows. Stands out for going beyond UI implementation to shape API contracts, real-time architectures, performance strategy, and product behavior across support, finance, and engineering use cases.”

“AI/LLM-focused engineer with hands-on experience building RAG pipelines, prompt engineering workflows, and multi-agent systems using tools like LangChain. Stands out for combining AI-assisted development with production-grade validation and for leading the architecture/orchestration of agent-based recommendation systems that improved response time, accuracy, and scalability.”

“Backend/data engineer with Optum healthcare claims domain experience building high-reliability Python microservices (FastAPI/Kafka/Postgres) and AWS data platforms (EKS, Glue, Redshift). Demonstrated strong production ownership: fixed duplicate Kafka processing via transactional outbox/idempotency, scaled to millions of daily events, and delivered major SQL performance gains (40+ min to <5 min, ~60% CPU reduction). Seeking remote-only work; targets $130k base.”

“Backend/data engineer with production experience at Walmart and HealthSnap building Python services and data pipelines on AWS (EKS, Lambda, Glue, Airflow). Strong reliability and operations focus—implemented idempotency + circuit breakers for peak-traffic consistency issues, GitOps CI/CD, and observability. Demonstrated measurable performance wins (Postgres p95 45s to <5s, ~60% CPU reduction) and modernized SAS batch workflows to Python with parallel-run parity validation and feature-flagged rollout.”

“Backend/data engineer who has owned production Python APIs and high-throughput async workflows on AWS (FastAPI, Docker, ECS/EKS/Lambda) with mature reliability practices like idempotency, bounded retries, circuit breakers, and strong observability. Also built AWS Glue ETL into an S3/Redshift lakehouse and modernized legacy batch systems via parallel-run parity testing and feature-flagged migrations, including a SQL tuning win cutting a multi-minute query to under 10 seconds.”

“Machine learning software engineer intern experience at Amazon, where they built a production testing framework to inject frames/videos onto devices to measure embedded CV model inference and ensure broad model compatibility via automatic NNA metadata handling. Also built side projects spanning LLM/RAG orchestration (LangChain/LangGraph with reranking and citations) and applied CV/healthcare work (nail disease detection, medical retrieval chatbot).”

“Operations/business leader at Rent the Runway who led a cross-functional, Board-visible redesign and network-wide rollout of the company’s garment bag—a >$5M CapEx/OpEx initiative central to luxury customer experience. Known for aligning executives with conflicting priorities (cost vs CX), driving KPI-based operating rhythms, and delivering vendor/manufacturing wins that improved unit cost while upgrading product quality; previously led legal operations with strong confidentiality/privilege discipline.”

“Unity/C# gameplay engineer who has shipped across console/PC/VR and mobile, including Ace Combat 7 (VR) and mobile titles. Built monetization-impacting gameplay systems (power-ups) and a full server-authoritative multiplayer architecture, and uses LLM-driven editor tooling and multi-agent workflows to rapidly prototype features while adding automated testing, benchmarking, dashboards, and CI/CD.”

Donnell Mata

Screened

Director-level Strategy & Operations leader specializing in GTM, product, and operating cadence systems

San Francisco, CA22y exp

“Operator/strategy leader with experience driving digital transformation and building executive operating systems in high-noise environments. At a legacy B2C brand, created a prioritization framework and exec alignment process that cut 100+ initiatives to 16 and lifted execution from 12% to 81%. At Point B, owned a $20M delivery budget while shifting the firm to a tech-forward practice, implementing OKR/KPI cadences and AI-enabled workflows (n8n, LLMs, gamma.ai) that materially improved executive productivity.”

Casey Conroy

Screened

VP of Regulatory Reporting specializing in FR Y-14 and SEC filings

New York, NY8y exp

“Finance/real-estate professional currently at Citi supporting FRB exam work (transaction testing, data-quality root cause analysis) and coordinating cross-functional regulatory responses with executive communications. Previously at JPMorgan Global Real Estate, automated an Excel-based depreciation forecast for a commercial office portfolio using complex formulas to handle overlapping project-phase data.”

Raghu Prabhudeva

Screened

Staff Embedded/Automotive Systems Architect specializing in IVI, ADAS, and digital cockpit platforms

USA

“Robotics-adjacent software engineer with hands-on ROS 2 experience building and integrating sensor nodes (IMU, GNSS, wheel encoder) and working with distributed pub/sub concepts via ROS IDL and DDS. Also has Gazebo exposure through Udacity coursework and uses Docker as a core development/deployment tool, with related experience in automotive camera-based solutions.”

Joseph Leybovich

Screened

Senior Unity Engineer specializing in XR and game development

Culver City, CA13y exp

“Unity/C# gameplay engineer with hands-on experience shipping end-to-end game systems, including a story mode pipeline on Marvel Mighty Heroes that supported designers directly and improved player retention. Also brings experimental AI/LLM and VR experience from Meta hackathons plus Photon multiplayer and cross-platform VR/mobile prototyping expertise.”

Chaithanya Konda

Screened

Mid-level Data Engineer specializing in multi-cloud analytics platforms

Waltham, MA6y exp

“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”

“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”

“Solutions engineer with recent experience in semiconductor and manufacturing SaaS, spanning pre-sales demos, SOW/POC authoring, on-site deployments, and production integrations. Particularly notable for bridging factory-floor equipment, on-prem Java applications, and Azure cloud systems, while also operating in highly regulated NIST 800-53 defense environments.”

DAVID STOKER

Screened

Senior Product and Program Leader specializing in technology, AI, and aerospace operations

Kent, WA12y exp

“Product leader with experience spanning Boeing, Amazon, and ScribeAmerica, combining large-scale operational product builds with human-centered AI in healthcare. Most notably led Amazon's Fleet Edge initiative to 35,000 deployed devices and an estimated $88M in savings, then helped shape Speke AI into a multi-platform medical documentation workflow product focused on provider trust, adoption, and real-world usability.”

“Software engineer with experience spanning early-stage startup architecture and large-scale Amazon product development. They’ve driven search and data-platform decisions in a 20-person startup, built full-stack React/Python tools that automate internal workflows, and shipped marketplace expansion and personalization features impacting 200k sellers and millions of end users.”

Assaf Igell

Screened

Executive Product Growth & Marketing Leader specializing in B2B PLG and monetization

Los Angeles, CA14y exp

“Growth and brand marketing leader across web3/creator economy products, including film.io (decentralized filmmaking) and the 2021 launch of the DC Comics Digital Collectible Marketplace. Known for data-driven audience segmentation and integrated multi-channel campaigns (email, Twitter/X, influencers, events) that delivered outsized earned media and large-scale user onboarding, with rigorous cohort-based revenue tracking.”