Vetted AWS CodePipeline Professionals

Pre-screened and vetted.

SR

Mid-level Full-Stack Software Engineer specializing in distributed systems and FinTech

United States5y exp
MastercardSacred Heart University
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NG

Mid-level Software Development Engineer specializing in cloud-native microservices on AWS

Fort Collins, Colorado5y exp
Sam's ClubColorado State University
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SV

Mid-level Site Reliability/DevOps Engineer specializing in multi-cloud, Kubernetes, and observability

California, USA5y exp
Bank of AmericaCalifornia State University, Northridge
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ST

Mid-level Full-Stack Engineer specializing in Java/Spring and AWS microservices

Chicago, IL5y exp
WalgreensLewis University
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WK

Senior Full-Stack Engineer specializing in .NET, Angular, and AWS

Cracow, PL8y exp
ThoughtWorksUniversity of Galway
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RM

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Denton, TX5y exp
State StreetUniversity of North Texas
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AS

Mid-level Data Scientist / AI/ML Engineer specializing in financial services and GenAI

Milwaukee, WI5y exp
State StreetUniversity of Wisconsin–Milwaukee
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KS

Senior Full-Stack Java Developer specializing in cloud-native microservices

Remote, NJ9y exp
BNY MellonJawaharlal Nehru Technological University, Hyderabad
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BB

Mid-level Cloud Software Engineer specializing in AWS infrastructure and automation

Dallas, TX5y exp
Capital OneUniversity of Missouri-Kansas City
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PN

Mid-level Full-Stack Software Developer specializing in cloud-native microservices

Hartford, CT5y exp
CignaRivier University
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AA

Senior DevOps & Cloud Engineer specializing in Kubernetes, IaC, and DevSecOps

Houston, TX9y exp
Reynolds and ReynoldsTexas Southern University
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IN

Senior DevOps Engineer specializing in AWS, CI/CD, and Kubernetes

Danvers, MA7y exp
BoseImo State University
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AS

Senior Cloud & DevSecOps Engineer specializing in AWS/Azure infrastructure automation

Pearland, TX8y exp
United States CourtsIndiana Tech
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VR

Senior DevOps/Cloud Engineer specializing in multi-cloud infrastructure and CI/CD automation

9y exp
Eli LillyLewis University
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FO

Senior DevOps & Cloud Infrastructure Architect specializing in multi-cloud platforms

Charlotte, NC4y exp
CenteneUniversity of Houston
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MA

Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms

Austin, TX11y exp
KIBO
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KS

Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms

Chicago, IL6y exp
State Farm
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SM

Sai Manikanta Kasireddy

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems

5y exp
Revstar ConsultingUniversity of North Texas

Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.

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SP

Soumya Perala

Screened ReferencesStrong rec.

Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation

Sunnyvale, CA9y exp
Wide Open WestSan José State University

Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.

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SS

Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals

Columbus, OH5y exp
Molina HealthcareIllinois Institute of Technology

Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.

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