Pre-screened and vetted.
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”
Executive Technology Leader specializing in SaaS, Big Data, and Cloud Architecture
“Hands-on IT/engineering executive who has led high-impact architecture changes and compliance-driven data systems. Notably built an internally developed columnar database at Troparé (with dual-support UI for legacy/new DBs) and shipped an MVP in 3–4 months with dramatic performance improvements, and previously delivered PCI/opt-out compliant deletion workflows while addressing DB performance and migrations.”
Senior Operations & Business Process Consultant specializing in change management and quality systems
“Operations and quality systems advisor who helps early-stage companies professionalize quickly—implementing ISO 9001-aligned document/vendor management, SOPs, and contracts while coaching founders through change. Has driven measurable process improvements across manufacturing and healthcare/clinical operations, including escalating a nurse productivity issue into a CAPA/IT fix that improved workflows for hundreds of nurses. Known as a cross-functional "Connector" who blends strategic guidance with hands-on execution and human-centered design.”
Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML
“Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.”
Mid-Level Software Engineer specializing in geospatial AI and cloud security automation
“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”
Senior Talent Operations leader specializing in recruiting workflows and people systems
“Recruiting/Talent Operations leader who managed 6–12 person teams across two office locations and drove measurable process improvements. Standardized onboarding (cut ramp time by 2–3 weeks) and redesigned interview scheduling to move candidates forward within 24–48 hours, while leveraging Workday/Lever reporting and leading a GoodTime rollout with HR/IT/HRIS.”
Executive People & Culture (HR) leader specializing in org design, compensation, and change
“People/HR leader with deep compensation expertise who built a company’s first enterprise-wide compensation framework, including benchmarking and pay equity analysis, partnering closely with executives to improve transparency, satisfaction, and reduce turnover. Demonstrates strong systems-thinking and employee relations judgment (ADA/FMLA-aware), plus hands-on coaching and conflict mediation to improve leader effectiveness and team trust.”
Senior Computer Vision & Sensor Algorithms Engineer specializing in imaging systems
“Robotics/remote-sensing software engineer who built and validated multisensor image-processing and spectral chemical-detection pipelines (RX anomaly detection, ACE), including calibration protocols with a motorized shutter and rigorous data QC. Uses white-box NumPy simulators to debug SLAM/registration issues before translating logic to C++, and partnered with hardware teams to solve temperature-driven signal variation via combined software calibration and improved thermal management.”
Senior Technical Support/Systems Engineer specializing in secure enterprise operations
“AppSec-focused engineer with experience supporting federal case management platforms at Armedia (SAST/DAST/SCA, threat modeling, injection remediation) and leading production troubleshooting for Ecobank’s virtual card service across 33 African affiliates. Known for using deep log/SQL/trace analysis to pinpoint TLS and query issues, documenting clear repro evidence, and driving measurable outcomes like eliminating recurring SQL vulnerabilities and stabilizing activation success rates.”
Executive Cybersecurity & Infrastructure Architect specializing in incident response and resilience
“Founder of pre-revenue cybersecurity startup Ceyepher Security; has already set up lead-intent sourcing, automated pipeline/CRM analytics, and outbound marketing. Plans to raise capital after landing first clients to demonstrate value via revenue, whitepapers, and customer testimonials; interested in studio support to accelerate sales. Mentions a disability that has enabled significant time honing computer science skills and is open to joining innovative work even outside their own company.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
“Cloud-native integration engineer (Oracle/OCI) with strong production deployment and incident-response experience, including API gateway rollouts, observability (Prometheus/Grafana), and multi-layer debugging for payments systems. Built Python/FastAPI microservices and automation for customer-specific reporting and data sync, and has delivered major performance gains (45 min to <10) plus reliability improvements (MTTD reduced 40%+) through monitoring, playbooks, and resilient integration patterns (streaming/queuing, retries, secure tokens, VPC peering).”
Mid-level Software Engineer specializing in backend systems, GraphQL, and real-time telemetry
“Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.”
Mid-level Forward Deployed Engineer specializing in AI automation for finance and data platforms
“LLM/agentic workflow specialist with healthcare deployment experience who has taken LLM-based automation from prototype to production using operator-in-the-loop validation, RAG-style retrieval, RBAC, and monitoring for sensitive data compliance. Demonstrated real-time incident resolution (retrieval timeouts due to network/proxy misconfig) and strong GTM support—hands-on developer workshops and sales demos translating technical safeguards and real-time ETL into measurable ROI (70% ops reduction, ~$200K/year savings).”
Senior HR Business Partner specializing in employee relations, global HR operations, and union environments
“People/HR leader specializing in change management, leader coaching, and people analytics—partnered with VP Operations and HR to execute a large-scale restructuring ahead of a major live event cycle with compressed timelines. Uses a systems-thinking, metrics-first approach (operational + engagement + adoption) and has resolved high-stakes ER conflicts involving retaliation allegations through neutral investigations and mediation.”
Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps
“Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.”
Intern Portfolio Strategy & Sourcing professional specializing in supply chain analytics
“Sourcing/NPI leader with hands-on expertise in should-cost modeling and contract negotiations (including exclusivity and lifecycle cost-downs), leading supplier onboarding through industrialization and SOP. Demonstrated proactive trade/duty risk mitigation by driving a phased localization plan that reduced part costs by 15% then an additional 20%, and has a track record of turning around underperforming suppliers to stabilize samples and improve OTD.”
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
“Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.”
Mid-level Application Support Engineer specializing in investment management platforms
“Application Engineer supporting customers in a financial trading context, experienced in coordinating urgent patch upgrades and stakeholder communications to minimize downtime. Has hands-on production incident response experience troubleshooting a critical dashboard outage caused by a bad SQL execution plan, escalating with DBAs and deploying a fast fix, then documenting full RCA via problem tickets.”
Mid-level Software Engineer specializing in reliability, automation, and energy systems
“Customer-facing technical professional with experience at GE Vernova diagnosing turbine performance issues and translating vague "use AI" requests into concrete software/configuration changes. Brings a data-driven approach to LLM workflow troubleshooting (data quality + performance monitoring) and has led tailored technical workshops/demos using audience research and backup learning modules, with a strong focus on driving product adoption through usability and usage-data feedback loops.”
Senior QA Automation Engineer (SDET) specializing in CI/CD quality engineering and AI-assisted QA
“QA automation engineer who owned and transformed a JavaScript/WebdriverIO UI automation suite into a reliable CI release gate by refactoring to POM, adding API validations, cross-browser coverage, and aggressively reducing flakiness. Demonstrated strong security mindset by uncovering a critical RBAC gap where restricted users could trigger billing actions via direct API calls, and helped reshape product requirements early through detailed acceptance-criteria questions (e.g., CSV upload partial failures).”
Mid-level QA Engineer specializing in manual, mobile, and API testing
“QA automation engineer who owned end-to-end test automation for a web-based enterprise application, building and scaling suites in Selenium/Java/TestNG and Cypress/JavaScript. Strong in CI/CD integration with PR gating and actionable reporting, and has prevented high-severity auth/session regressions by catching role-based login/token issues early via automated CI runs.”
Intern IT & Data Analytics professional specializing in automation, cloud operations, and dashboards
“AppSec-focused engineer with experience spanning Accenture and a digital operations support internship, emphasizing secure SDLC and CI/CD security automation (SAST/DAST/SCA). Has hands-on troubleshooting experience using logs/metrics/APM traces (e.g., resolving DAST timeouts caused by rate limiting) and designs AWS/Kubernetes scanning integrations with least-privilege IAM, private networking, secrets management, and observability.”
Executive Chief of Staff and FP&A leader specializing in SaaS, utilities, and hospitality
“Cross-functional operator with experience hiring and standing up a product support function, then reducing ambiguity across Sales/CS/Product Support through clear roles and KPI-driven accountability. Reported outcomes include +20% customer satisfaction, +40% employee engagement, and -10% churn, with an emphasis on structured execution (deliverables/deadlines/follow-ups) and proactive risk/disaster recovery planning.”