AWS Cloud Infrastructure Engineer (Non-Compute)

Title: AWS Cloud Infrastructure Engineer (Non-Compute)

Experience: 6-12 Years

Location: Hyderabad / Pune

Work Mode: Hybrid

Employment Type: Full-time

We are hiring for one of the top IT services companies: SPADTEK Solutions is proud to collaborate with leading IT organizations to source exceptional talent for their fulltime. Client is a fast-growing global cloud-first data and AI consultancy delivering enterprise-grade solutions powered by an innovative IP suite. The company's core expertise spans Data & BI Platform Modernization, Self-Service AI Platforms, Data Mesh, Data Fabric, Master Data Management, Data Governance, Cloud Enablement, Digital Engineering, Knowledge Graphs, and Machine Lakes for Cybersecurity and Financial Crimes. A culture that values continuous learning, collaboration, and career growth. Being part of a company consistently ranked among the top IT employers. If you are an experienced professional seeking a longterm career opportunity with one of the industry s most respected names, this is your chance to join top IT services company.

About The Role We are seeking a high-caliber, self-driven AWS Cloud Infrastructure Engineer (Non-Compute) to spearhead the design, optimization, and scaling of our core data, messaging, and security platforms. This role focuses on the critical architectural layer driving the reliability, efficiency, and security of our cloud data fabric. You should possess exceptional analytical acumen and a relentless drive for root-cause problem solving.

Key Responsibilities

• Build declarative infrastructure blueprints exclusively using Terraform.
• Develop resilient Python automation scripts and utility tools.
• Architect and optimize high-throughput ingestion streams and serverless analytics workflows.
• Design decoupled, event-driven messaging architectures using pub/sub and event-routing mechanisms.
• Manage relational, graph, and caching databases with focus on HA, replication, and cost optimization.
• Enforce zero-trust cloud security standards across AWS services.

Required AWS Skills Data & Analytics

• AWS Glue
• AWS Athena
• Amazon Kinesis Data Streams
• AWS Kinesis Firehose
• Amazon S3
• AWS DataZone

Databases & Caching

• Amazon Aurora
• AWS ElastiCache for Redis
• Amazon Neptune DB

AI & Intelligent Services

• AWS Bedrock
• AWS Agent Core

Security & Identity

• AWS IAM Identity Center
• AWS KMS
• AWS Secrets Manager
• AWS ACM
• AWS Security Groups

Networking & Observability

• AWS CloudWatch & Metrics

Must-Have Qualifications

• 5 6 years of AWS experience focused on data engineering, platform, and security services.
• Strong experience building event-driven, streaming, and batch data pipelines on AWS.
• Proficiency with Aurora and graph databases using enterprise standards.
• Experience with AWS Agent Core preferred.
• Strong understanding of encryption at rest and in transit using KMS and Secrets Manager.
• Experience with Terraform and CloudFormation for provisioning and automation.
• Hands-on experience with IAM Identity Center, SCPs, and permission set management.
• Familiarity with CIS Benchmarks, AWS Config rules, and Detective investigations.
• AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect Professional preferred.