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Vetted Splunk Professionals
Pre-screened and vetted.
Mid-Level Backend Engineer specializing in distributed event processing
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Engineering Manager specializing in AI/ML, cloud services, and microservices
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Technology Executive specializing in AI-native engineering and cybersecurity governance
Executive Digital & Engineering Leader specializing in D2C omnichannel and AI transformations
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Staff Software Engineer specializing in FinTech eCommerce platforms
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Senior Cloud Security Engineer specializing in AWS security, IAM governance, and DevSecOps
Justin Turner
Executive Technology Leader (CTO/CIO/CISO) specializing in cloud, security, and data platforms
“CTO-level technology leader with experience building end-to-end tech strategy and roadmaps, modernizing legacy environments in healthcare (GenesisCare), and scaling engineering into large global teams (Amadeus). Built a DevOps organization at Syniverse for the Visibility Suite, implementing Kubernetes/Terraform/Chef automation that drove ~75% faster deployments, and is known for staying hands-on (including data center work) while leading strategically.”
Darsh Sharma
Mid-level Software Engineer specializing in ML systems and microservices
“Teradata Text Security intern who built a production LLM-powered planner agent that decomposes complex tasks into dependency-aware subtasks (DAG/topological graph) and executes them via a custom orchestrator with parallelism, status tracking, and error handling. Also contributed to an HR-facing internal document chatbot concept to streamline onboarding, showing cross-functional collaboration.”
Sarthak Gupta
Mid-level AI/ML Engineer specializing in LLMs, NLP, and real-time AI systems
“Backend engineer who built a real-time pipeline for recording, transcribing, and analyzing audio from 400+ news radio stations, scaling Whisper on an HPC cluster with 7 H100 GPUs. Has strong performance optimization experience (30% latency reduction via SQL/query design; 50% DB call reduction via Redis caching) and has implemented region-based data isolation and PII protections in a regulated environment (JP Morgan Chase).”
Charles Amoyaw
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”
Feras Alsaiari
Senior Software Engineer specializing in AWS data platforms and event-driven systems
“Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.”