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Vetted Kibana Professionals
Pre-screened and vetted.
Senior SDET specializing in UI/API automation and performance testing for cloud-native systems
Senior QA Automation Engineer specializing in web, mobile, and API testing
Junior Software Engineer specializing in backend systems, DevOps, and cybersecurity tooling
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”
Rachana Ramesh
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack TypeScript engineer who has owned a real-time workflow/communication platform end-to-end in production (Node/TS + React, Postgres/Redis, Kafka, Docker/CI/CD). Demonstrates strong distributed-systems pragmatism—designing for failure with retries, DLQs, idempotency keys, and atomic writes—plus operational practices like structured logging, monitoring, and zero-downtime deployments.”
SAI PRASHANTH
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Mid-Level Software Development Engineer specializing in backend microservices and cloud-native IoT
Senior QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Senior Front-End Developer specializing in React and enterprise web apps
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level Software Engineer specializing in AI and cloud-native data platforms
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and React
Mid-level DevOps Engineer specializing in Azure cloud infrastructure and CI/CD
Rithiwik Garuda
Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms
“Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.”
Sandeep Reddy
Mid-level SRE/DevOps Engineer specializing in cloud infrastructure automation and Kubernetes
“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.”
Phillip Bruce
Senior Unix/Linux & Storage Engineer specializing in data center, virtualization, and cloud infrastructure
“UNIX infrastructure engineer with hands-on AIX 7.x and Solaris 11.4 operations, including high-severity Oracle/NFS I/O incidents resolved via MTU/Jumbo Frame tuning and performance tooling (iostat/vmstat/top/fio). Experienced in IBM Power (P5–P9) environments with VIOS/LPAR and PowerHA/HACMP (up to 8-node clusters), plus legacy Sun/Oracle SPARC and AIX migrations using custom Bash/Python discovery scripts and rsync-based cutovers.”
Sudarshan Manavalan
Junior Software Engineer specializing in cloud microservices and full-stack development
“Robotics software engineer with hands-on ROS (ROS 1) experience building sensor-processing and state-based control pipelines in Python/C++. Demonstrated measurable reliability and performance gains in autonomous navigation—cut runtime failures by 30%, reduced replanning by 35%, and improved debugging efficiency by 40%—using timing-aware state machines, message/interface discipline, and simulation/testing with Gazebo, rosbag, Docker, and CI/CD.”