IT - Technology Architect | Data On Cloud - Platform | AWS

UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions We prioritize endorsing those with complete and accurate information Avoid submitting duplicate profiles. We will Reject/Disqualify immediately. Make sure that candidate’s interview schedules are updated. Please inform the candidate to keep their lines open. Please submit profiles within the max proposed rate. Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE. MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED. Job Title: Technology Architect | Data On Cloud - Platform | AWS Platform Engineer Work Location & Reporting Address: Greenwood Village, CO 80111 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location. Candidate should be willing to attend a face-to-face interview with the client) Contract duration: 12 MAX VENDOR RATE: $84 per hour max Target Start Date: 14 Aug 2026 Does this position require Visa independent candidates only? Yes Must Have Skills: AWS DevOps Python AI Kafka Nice to Have Skills

Strong experience with infrastructure-as-code (Terraform preferred, CloudFormation acceptable) Experience with production monitoring, alerting, and incident response at scale Experience with cost monitoring and optimization in AWS environments Experience with containerization (Docker) and CI/CD pipelines (GitLab CI preferred) Experience with event-driven architectures and messaging systems (e.g., Kafka, SNS/SQS, EventBridge) Proficiency with Linux-based operating systems and shell scripting Experience managing and mentoring engineering teams Demonstrated ability to make independent technical decisions and triage production issues without escalation Understanding of data pipeline architectures (batch and streaming) and common failure modes Understanding of networking fundamentals: DNS, CIDR, NAT, VPC endpoints, firewalls, security groups Proficiency in Python (or a comparable general-purpose language) for building automation, tooling, and applications Solid software engineering fundamentals: Git-based workflows, code review, modular and reusable design, dependency management, and writing maintainable, documented code Experience writing automated tests (unit/integration) for application and infrastructure code, and integrating those tests into CI/CD Ability to write integration code against REST APIs and cloud SDKs (e.g., AWS SDK / boto3) Minimum Years of Experience: 8+ years Certifications Needed: None Top 3 responsibilities you would expect the Subcon to shoulder and execute: AWS, DevOps practices, Python development, and Kafka-based streaming solutions. Automate infrastructure provisioning and configuration management using Infrastructure as Code IaC. Design and manage eventdriven architectures leveraging Apache Kafka Implement containerization and orchestration solutions using Docker and Kubernetes. Ensure platform compliance, governance, and security best practices