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Senior AWS Architect - IAC Terraform

APTITA SERVICES PRIVATE LIMITED
Remote
8 - 12 Years

Posted on: 02/12/2025

Job Description

Overview :


We are seeking a highly skilled Senior AWS Architect with deep, hands-on expertise in designing, implementing, and optimizing large-scale cloud environments. The ideal candidate is an AWS expert who is comfortable working with complex distributed systems, automation at scale, and modern AI/ML services to deliver high-performance, secure, and cost-optimized cloud solutions.

This role requires both architecture leadership and hands-on engineering, ensuring designs are not only strategic but also executable.

Key Responsibilities :


Cloud Architecture & Design :


- Design highly scalable, secure, and fault-tolerant architectures using AWS best practices and the AWS Well-Architected Framework.

- Lead end-to-end solution design for enterprise-grade cloud applications, data platforms, and AI/ML workloads.

- Architect and implement multi-account AWS organizations, landing zones, and guardrails.

Hands-On Engineering :


- Build, configure, and optimize services including EC2, ECS/EKS, Lambda, API Gateway, S3, Cloud Front, DynamoDB, RDS/Aurora, Redshift, and more.

- Implement Infrastructure as Code (IaC) using Terraform, Cloud Formation, AWS CDK, or similar tooling.

- Develop automation for deployments, scaling, monitoring, and operational workflows.

AI/ML & Advanced Services :


- Architect and deploy AI and data-driven solutions using AWS AI/ML services : Sage Maker, Bedrock, Comprehend, Recognition, and related capabilities.


- Build scalable data ingestion, ETL/ELT, and feature engineering pipelines using services like Kinesis, Glue, EMR, and Step Functions.

- Collaborate with data scientists and engineering teams to productionize machine learning models.

Security, Governance & Compliance :


- Implement cloud security best practices, including IAM architecture, network segmentation, secrets management, encryption, and compliance controls (SOC2, GDPR, HIPAA etc.).

- Oversee configuration and auditing using AWS Security Hub, Guard Duty, Config, and Cloud rail.

- Work with risk and governance teams to ensure adherence to enterprise security policies.

DevOps & Observability :


- Establish CI/CD pipelines using Code Pipeline, GitHub Actions, GitLab CI, or Jenkins.

- Set up robust monitoring and observability using Cloud Watch, Open Telemetry, X-Ray, and third-party tools (Datadog, New Relic, Splunk).

- Implement incident management, root-cause analysis, and performance tuning.

Collaboration & Leadership :


- Work closely with engineering leaders, product teams, and stakeholders to translate business needs into scalable cloud solutions.

- Mentor engineers, conduct design reviews, and define standards, best practices, and reusable architectures.

- Drive cloud innovation initiatives, introduce new technologies, and promote cloud maturity across the organization.

Required Skills & Qualifications :


- 10+ years of professional experience with cloud architecture and engineering, including at least 5 years of hands-on work in AWS.


- Strong expertise across core AWS services, server less technologies, container orchestration (EKS/ECS), and distributed systems.

- Hands-on experience with AWS AI/ML stack (Sage Maker, Bedrock, Lex, Polly, Comprehend, etc.).

- Advanced understanding of networking (VPC, Transit Gateway, routing, VPN, Direct Connect).

- Proficiency with IaC (Terraform, Cloud Formation, CDK) and automation.

- Strong programming/scripting skills in Python, Node.js, Go, or similar languages.

- Deep understanding of cloud security, identity management, and compliance.

- Experience with large-scale data processing and real-time data pipelines.

- AWS Professional certifications (Solutions Architect Professional, DevOps Engineer Professional, or Machine Learning Specialty) strongly preferred.

Nice to Have :


- Experience with generative AI, LLM integration, retrieval systems, vector databases, and AI-powered application design.

- Knowledge of hybrid/multi-cloud strategies or container platforms like Kubernetes outside AWS.

- Familiarity with FinOps practices and AWS cost-optimization tooling.

- Experience in high-availability fintech, healthcare, or other highly regulated environments.


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