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Vetted Kubernetes Professionals

Pre-screened and vetted.

KubernetesDockerPythonCI/CDAWSPostgreSQL
SS

Shreyansh Srivastava

Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems

Seattle, WA6y exp
UberUniversity of Texas at Arlington
PythonJavaGoSQLJavaScriptTypeScript+90
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TS

Tyler Swanson

Senior AI/ML Engineer specializing in production AI systems for healthcare and finance

Austin, TX13y exp
AspirusUniversity of Texas at Austin
PythonScalaSQLJavaC++TensorFlow+72
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VS

Vudityala Srinidh

Mid-level AI Data Engineer specializing in real-time streaming and LLM-powered fraud analytics

California, USA6y exp
PayPalCalifornia State University, East Bay
PythonSQLPostgreSQLBigQueryPySparkApache Spark+102
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MM

Marc Maxwell

Senior DevSecOps & Observability Engineer specializing in cloud automation and STIG compliance

Orlando, FL7y exp
IBMMercer University
AWSKubernetesAmazon EKSTerraformAnsibleGitOps+85
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SC

Srujan Ch

Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows

USA6y exp
Kimber HealthStony Brook University
JavaPythonGoTypeScriptCC+++99
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AS

Akaash Seemakurty

Junior Software Engineer specializing in full-stack, cloud, and AI systems

Remote2y exp
AmazonVanderbilt University
.NETAmazon API GatewayAmazon DynamoDBAmazon EC2Amazon S3Amazon SageMaker+76
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BS

Benjamin Smith

Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM

Cleveland, Ohio16y exp
ProcoreCleveland State University
AngularReactNext.jsVue.jsAngularJSTypeScript+86
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FW

Fiona Walsh Dinan

Senior DevOps & Solutions Engineer specializing in CI/CD and GitHub Enterprise

San Francisco, CA17y exp
CircleCICalifornia Institute of Integral Studies
DevOpsCI/CDCross-Functional CollaborationCloud ComputingSaaSAutomation+60
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AM

Akhil Manala

Mid-level Full-Stack Developer specializing in microservices and AWS DevOps

Seattle, WA5y exp
JPMorgan ChaseCleveland State University
JavaJavaScriptTypeScriptPythonSQLSpring Boot+91
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AD

Andrew Dyer

Senior AI/Machine Learning Engineer specializing in RAG and MLOps

Odessa, TX8y exp
DataRobotJohns Hopkins University
A/B TestingAgileApache KafkaApache SparkAWSCI/CD+36
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MW

Matthew Wade

Senior Software Engineer specializing in cloud platforms and real-time collaboration

Remote13y exp
QuipMichigan Technological University
API DesignAngularAWSAWS LambdaAzure DevOpsCelery+71
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RB

Rajan Bhargav Souda

Mid-level Generative AI Engineer specializing in LLMs, NLP, and multimodal systems

St. Louis, MO6y exp
BJC HealthCareNorthwest Missouri State University
PythonSQLBashPyTorchTensorFlowKeras+94
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LR

Likhith Reddy peddireddy

Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems

East Palo Alto, CA5y exp
AmazonUniversity of North Texas
Amazon CloudFrontAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon KinesisAmazon S3+68
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BC

Bhuvanesh Chava

Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes

Arlington, VA5y exp
CoforgeWilmington University
PythonBashShell ScriptingLinuxJenkinsGitHub Actions+106
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AR

Aishwarya Raju Khatwani

Mid-Level Software Engineer specializing in cloud-native distributed systems

Seattle, WA6y exp
Mercedes-BenzRochester Institute of Technology
AgileAlertingAmazon SQSAmazon SNSAWSAWS Lambda+52
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SK

Sumanth Kumar Sri perumbuduri

Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications

6y exp
Fidelity InvestmentsUniversity of Texas at Dallas
PythonJavaJavaScriptTypeScriptC#Node.js+119
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ST

Shaik Talha

Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability

Stamford, CT9y exp
Vanguard
Microsoft AzureTerraformAWS CloudFormationAnsibleCI/CDJenkins+200
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VD

Vismay Devjee

Screened ReferencesModerate rec.

Mid-level GenAI Engineer specializing in AI agents, RAG, and LLM evaluation

Boston, MA2y exp
Fidelity InvestmentsNortheastern University

“Asset Management Risk professional at Fidelity Investments who built and productionized an agentic RAG platform enabling compliance and analysts to query 10,000+ fund documents with cited answers in seconds. Implemented structure-aware semantic chunking (AWS Textract), hierarchical retrieval, and hybrid search to raise accuracy from 68% to 94%, and built an evaluation framework tracking accuracy/latency/cost/hallucinations—delivering 40+ hours/month saved and zero critical production failures.”

Apache AirflowAWSAWS LambdaCI/CDClaudeCompliance+85
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YA

Yousif Aluzri

Screened

Senior UNIX/Linux Systems Engineer specializing in telecom mobility and automation

Portland, OR29y exp
CiscoUniversity of Colorado Boulder

“Commercial UNIX specialist and former tech lead for a UNIX-based telco appliance spanning 11 SPARC Solaris servers, with strong Solaris troubleshooting (truss/iostat/netstat/snoop) and extensive shell scripting automation for safer, more consistent operations. Has executed multiple Solaris major-version migrations (6→8→10→11) and brings broad cross-UNIX platform experience (Solaris/SunOS/HP-UX/IRIX/OSF/1), while actively looking to deepen hands-on AIX/IBM Power expertise.”

UNIXLinuxAWSKubernetesDockerGit+158
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VS

Vighanesh Sharma

Screened

Mid-level Software Engineer specializing in cloud-native platforms and healthcare systems

Dallas, TX3y exp
PlayStationUniversity of Texas at Dallas

“Backend engineer with healthcare-domain experience building a security-critical RBAC identity/authentication/authorization microservice suite used across hospital imaging platforms (X-Ray, Ultrasound, etc.). Demonstrates strong security mindset (mTLS, cert hygiene, JWT, pen-testing collaboration) and pragmatic scaling/reliability practices (Nginx load balancing, Redis caching, automated tests, canary rollouts).”

AgileAlgorithmsAngularAWSAWS LambdaBigQuery+101
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CM

Chris Michaelson

Screened

Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization

Tampa, FL17y exp
PwCOregon Institute of Technology

“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”

LeadershipVendor ManagementContract NegotiationProduct ManagementProject ManagementMicroservices+118
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