Vetted SDLC Professionals

“Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.”

“Works on clinical trial applications and data pipelines, including AWS Lambda-based file transfer workflows for clinical study metadata. Has hands-on experience hardening production systems by adding observability, SSH/auth exception handling (Paramiko), retries/timeouts, and validating changes across SIT/UAT/prod. Also supports adoption through tailored technical demos for new teams and vendor partners integrating into their workflows.”

“Backend/platform engineer with payments and insurance domain experience (Cognizant), owning high-volume production systems end-to-end. Shipped a Spring Boot payment tokenization service with strong observability and phased migration that cut transaction latency ~30% and improved payment efficiency ~25%. Also productionized an ML-driven financial health/risk analytics pipeline with near real-time dashboards across 70+ schools, emphasizing interpretability, data quality, and drift monitoring.”

“Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.”

“Backend/embedded-focused engineer with hands-on experience designing real-time, memory/power-constrained firmware architectures and also building Python/FastAPI services. Demonstrates strong production rigor across migrations (strangler pattern, shadow reads, feature flags), security (OIDC/JWT, RBAC/ABAC, Postgres RLS), and robustness for async workflows (idempotency, event ordering, state machines).”

“Backend/data engineer who built an enterprise LLM assistant (AI Genie) at Broadband Insights using a LangChain + GPT-4 + Pinecone RAG pipeline to automate broadband analytics reporting. Developed Python/Dagster ETL processing 10M+ records/day and improved data freshness by 60%, with production-grade scalability patterns (async workers, containerized microservices, Kubernetes) and strong multi-tenant isolation practices.”

“Product-minded software engineer who owned a Shopify POS app end-to-end at Swym, shipping an MVP and then scaling iteration speed with E2E automation and CI/CD—resulting in a Shopify Badge, Top-5 App Store ranking, and +40% new user acquisition. Also built an ESG insights tool using React/TypeScript + FastAPI with Snowflake and a RAG pipeline, plus microservices patterns (async jobs, queues, DLQs, autoscaling) and internal Metabase/SQL analytics dashboards.”

“Full-stack developer who deployed a React/Node/Mongo event management app to production, focusing on secure env/credential handling and stabilizing third-party integrations (email verification, payments). Demonstrated strong cross-layer troubleshooting by isolating intermittent regional failures to load balancer/firewall misconfiguration, and has Python experience building a TF-IDF/cosine-similarity search/ranking system tailored to project requirements.”

“Full-stack engineer with end-to-end ownership of a data-heavy financial dashboard module at Brown & Brown Insurance, spanning .NET Core APIs, EF/SQL Server, and React/TypeScript UI. Demonstrates strong focus on performance tuning (indexing, pagination, caching, async) and secure service design (Azure Key Vault, JWT/RBAC) in a microservices context.”

“No hands-on console game testing experience, but reports being fairly familiar with console certification frameworks (Sony TRCs, Microsoft XR, Nintendo LOT) and can articulate key compliance areas (network, save data, performance/stability, legal/regional, DLC). Uses AI tools in day-to-day QA work to refine database queries and test cases, and prioritizes production issues first under deadline pressure.”

“Full-stack engineer with enterprise experience at Meta System and DXC, owning end-to-end delivery of a shipment visibility portal (React UI in Liferay DXP + Java/Spring Boot REST APIs) with Dockerized deployments and automated test coverage. Has hands-on AWS work across EC2/Lambda/S3 and multiple databases (DynamoDB, RDS, Neptune, DocumentDB), plus built a Python/Flask data migration platform with validation for correctness and repeatability.”

“QA automation engineer focused on backend/API quality who owned an end-to-end API regression suite and integrated Cypress/JS automation into GitLab CI with smoke-vs-nightly regression gating. Caught a critical auth security regression (expired tokens returning 200 instead of 401) before production and is strong in stabilizing flaky tests using network interception and actionable CI reporting.”

“Built and deployed an agentic RAG platform at Centene Health to support healthcare claims and complaints workflows (Q&A for claims agents, executive complaint summarization, and compliance triage/classification). Experienced in LangChain/LangGraph orchestration, production deployment on AWS with FastAPI/Docker/Kubernetes, and implementing HIPAA-compliant guardrails to reduce hallucinations and ensure explainable outputs.”

“Frontend engineer who led end-to-end delivery of a customer-facing ticket booking platform at Simplii Financial, emphasizing scalable React architecture, performance (code-splitting/lazy loading), and accessibility. Also built a data-heavy real-time metrics dashboard at Q-TED using React + TypeScript with React Query for server-state, strong API contract validation practices, and tight QA/product/design collaboration for fast, stable releases.”

“Enterprise workflow/product engineer (DXC) who owned a customer-facing workflow application for 500+ users and improved performance ~30% through API/SQL optimization, caching, and CI/CD-backed iteration. Experienced designing React/TypeScript + Java/Spring Boot systems and operating microservices with RabbitMQ/Kafka-style messaging, emphasizing reliability via DLQs, backpressure, and strong observability. Also built an internal automation dashboard adopted by support/ops teams to cut manual work and reduce SLA misses.”

“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”