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Vetted Terraform Professionals

Pre-screened and vetted.

LS

Senior Full-Stack Software Engineer specializing in AWS, .NET, and data/telemetry platforms

Cincinnati, Ohio15y exp
Workhorse GroupBowling Green State University
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AB

Junior Software Engineer specializing in AI and Cloud Infrastructure

Remote, USA2y exp
WintrNortheastern University
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RM

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

4y exp
Development Dimensions InternationalUniversity at Buffalo
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AU

Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps

Lubbock, TX9y exp
Texas Tech UniversityTexas Tech University
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GM

Mid-level Software Developer specializing in DevOps, CI/CD, and AWS Kubernetes

Oklahoma City, Oklahoma3y exp
PaycomUniversity of Central Oklahoma
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CG

Senior Full-Stack Software Engineer specializing in AI-native enterprise products

Palacious, TX13y exp
MVP Health CareUniversity at Albany
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SR

Mid-level DevOps Engineer specializing in Azure cloud infrastructure and CI/CD

USA4y exp
TCSSouthern Arkansas University
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KS

Mid-level Full-Stack Developer specializing in modern web apps and cloud DevOps

Remote, USA4y exp
KeyBankUniversity of Missouri-Kansas City
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NS

Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability

Irving, USA5y exp
HarmonecareIllinois Institute of Technology
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PN

Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms

Newark, NJ2y exp
Horizon Blue Cross Blue Shield of NJUniversity of Central Missouri
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SK

Senior Full-Stack & Cloud Engineer specializing in AWS Serverless SaaS

9y exp
Republic Services
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AZ

Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications

Woodbridge, Virginia, US7y exp
HealthEdge
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RG

Rithiwik Garuda

Screened ReferencesStrong rec.

Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms

5y exp
InfosysUniversity of New Haven

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.

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PR

Priyanka Ramesh

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Boston, MA2y exp
IpserLabNortheastern University

Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).

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SR

Sandeep Reddy

Screened ReferencesStrong rec.

Mid-level SRE/DevOps Engineer specializing in cloud infrastructure automation and Kubernetes

Jacksonville, Florida5y exp
Transcor Data ServicesFlorida International University

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.

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PB

Phillip Bruce

Screened ReferencesStrong rec.

Senior Unix/Linux & Storage Engineer specializing in data center, virtualization, and cloud infrastructure

Las Vegas, NV18y exp
Allegiant AirUniversity of Maryland Global Campus

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.

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SC

Shashank Chauhan

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in AI/ML and cloud data platforms

Dearborn, MI3y exp
Data Science and Management Research LabUniversity of Michigan-Dearborn

ML engineer with hands-on experience taking a Gaussian Process Regression-based intelligent survey timing system from build to real-world deployment, including a 3-week RCT on 120 participants and measurable improvements (15% response rate, 23% data quality). Also served as a key technical resource at CData for customer-facing demos and debugging hundreds of production issues, bridging engineering with Sales and Customer Success.

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BT

Boris Tengweck

Screened ReferencesStrong rec.

Senior Cloud Security & DevOps Engineer specializing in AWS and regulated compliance

Houston, TX8y exp
Western National InsuranceHimalayan Institute of Medical Sciences

Cloud/Linux infrastructure engineer focused on high-availability AWS platforms (EKS/EC2) with strong observability and incident response ownership. Has hands-on experience building secure CI/CD (GitHub Actions/Jenkins) and Terraform-based IaC at scale, including resolving real production issues like peak-traffic latency and Terraform remote state locking; transparent about not having direct IBM Power/AIX/PowerHA production ownership.

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LD

Linda DN

Screened ReferencesStrong rec.

Senior Cloud DevOps Engineer specializing in AWS architecture, IaC, and DevSecOps

Lawrenceville, GA11y exp
Madison LogicDelta State University

DevSecOps/AWS infrastructure engineer at Madison Logic who owns a 15-account AWS footprint and treats nearly all AWS resources as code (Terraform/CloudFormation). Led a CI/CD platform migration (Bitbucket → GitLab + GitHub Actions) supporting WordPress and containerized microservices, improving release frequency to weekly/daily, and has hands-on production incident response experience on ECS Fargate using Datadog with fast rollback via immutable ECR tags and task definition revisions.

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