Senior Cloud & Platform Architect
Quick Summary
Senior Cloud & Platform Architect AArete is one-of-a-kind when it comes to consulting firm culture. We’re a global, innovative management and technology consulting firm with offices in the U.S., India, and Europe.
We are hiring a Senior Cloud & Platform Architect to serve as a strategic technical partner to AArete’s US-based Cloud & Infrastructure Lead.
10+ years of hands-on cloud infrastructure, platform engineering, DevOps architecture, or site reliability engineering experience Deep expertise in AWS: architecture design, multi-account strategies, S3, Lambda, SNS, SQS, CloudWatch, IAM, MWAA, VPC,…
We are hiring a Senior Cloud & Platform Architect to serve as a strategic technical partner to AArete’s US-based Cloud & Infrastructure Lead. This is a senior advisory and hands-on architecture role for someone with deep experience in cloud platform engineering, IT automation, AIOps, and product infrastructure at scale.
- Partner with the US-based Cloud & Infrastructure Lead to evaluate, design, and evolve AArete’s AWS cloud architecture across all AArete platforms
- Bring external best practices in cloud-native architecture, multi-environment management, and infrastructure scalability that the team can adopt and implement
- Advise on Terraform module design, state management patterns, environment promotion strategies, and drift detection at scale
- Co-design infrastructure for new product builds, ensuring architectures are production-grade, scalable, and maintainable from day one
- Evaluate and recommend new AWS services and capabilities as the platform evolves (e.g., Bedrock, Textract, Step Functions, SageMaker endpoints, EventBridge)
- Lead the design and implementation of AIOps capabilities: intelligent monitoring, anomaly detection, predictive alerting, automated remediation, and workload optimization using AWS-native services
- Architect self-healing infrastructure patterns: automated scaling, failure recovery, drift correction, and proactive incident prevention
- Design intelligent cost optimization frameworks: automated warehouse scheduling, storage tiering, reserved capacity management, and spend anomaly detection
- Explore and implement AI-assisted operations using AWS Bedrock or similar services for operational intelligence, log analysis, and predictive infrastructure management
- Bring proven patterns from prior experience to accelerate AArete’s automation maturity
- Advise on CI/CD pipeline architecture and deployment strategies across Bitbucket, AWS, and related tooling
- Bring product development infrastructure experience: release management, feature flagging, environment provisioning, and deployment automation at a product (not project) cadence
- Help evolve the team’s DevOps practices from consulting-delivery patterns to product-engineering standards
- Contribute to the design and enforcement of deployment standards: branching strategies, automated testing gates, rollback procedures, and release governance
- Maintain sprint boards, release plans, and delivery roadmaps in Jira
- Advise on security architecture and compliance posture across all environments (HIPAA, BAA, PHI handling)
- Review and improve IAM policies, encryption patterns, VPC design, and access control frameworks
- Contribute to monitoring and observability strategy using CloudWatch, Grafana, SNS, and custom dashboards
- Support disaster recovery planning, backup strategies, and business continuity procedures
- Conduct periodic architecture reviews and recommend hardening measures
- Serve as a technical sounding board and mentor to the US-based Cloud Lead, sharing patterns, anti-patterns, and lessons learned from prior environments
- Collaborate with data engineers and product teams across AArete
- Contribute to AArete’s engineering standards, technical documentation, and architecture decision records in Confluence
- Help establish a culture of operational excellence, automation-first thinking, and infrastructure-as-product across the DAE team
- Other duties as assigned
- 10+ years of hands-on cloud infrastructure, platform engineering, DevOps architecture, or site reliability engineering experience
- Deep expertise in AWS: architecture design, multi-account strategies, S3, Lambda, SNS, SQS, CloudWatch, IAM, MWAA, VPC, API Gateway, EventBridge, Systems Manager, and networking
- Expert-level proficiency with Terraform or equivalent infrastructure-as-code tooling at scale (module libraries, state management, workspace strategies, CI/CD-driven infrastructure deployment)
- Demonstrated experience designing and implementing AIOps or intelligent automation solutions: anomaly detection, auto-remediation, predictive alerting, and workload optimization
- Strong background in cloud automation: auto-scaling, self-healing patterns, scheduled operations, and cost optimization at scale
- Experience supporting production product infrastructure (not just project-based consulting environments) understanding of release cadence, uptime requirements, and platform reliability at a product level
- Proficiency in scripting and automation: Python, Bash, or both
- Solid understanding of security and compliance in AWS: IAM architecture, encryption, VPC design, audit logging, and regulatory frameworks
- Experience with monitoring and observability at scale (CloudWatch, Prometheus, Grafana, Datadog, or equivalent)
- Strong written and verbal communication skills in English, with the ability to collaborate as a technical peer with US-based engineers and leadership
- Experience working in globally distributed teams with daily cross-timezone collaboration
- Self-directed with the ability to operate at a senior advisory level... you identify gaps and propose solutions without being asked
- Experience with AWS AI/ML services: Bedrock, SageMaker, Textract, and integrating AI into operational workflows
- Healthcare industry experience, particularly HIPAA compliance and PHI handling in cloud environments. Familiarity with security frameworks such as HITRUST SOC-2, ISO 27001.
- Experience with containerization (Docker) and orchestration (Kubernetes or Amazon ECS)
- Golang experience for backend service and API development
- Experience with FinOps practices and cloud cost governance at an organizational level
- Experience evolving engineering teams from consulting-delivery models to product-engineering models
- Experience building and maintaining CI/CD pipelines with Bitbucket Pipelines or equivalent
- Familiarity with API Gateway, microservices architecture, and event-driven patterns
- AWS Solutions Architect Professional or DevOps Engineer Professional certification
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- Flexible Paid Time Off of up to 23 days annually, in addition to 10 paid public holidays
- Hybrid work model with flexible in-office attendance
- Comprehensive health benefits including medical insurance (Mediclaim), personal accident insurance, and term life insurance
- Generous paid parental leave program
- Attractive employee referral bonus scheme
- Transportation allowance and night shift allowance
- Employee advance salary loan facility
- Structured professional certification reimbursement policy to support ongoing learning and development
Location & Eligibility
Listing Details
- Posted
- May 6, 2026
- First seen
- May 6, 2026
- Last seen
- May 31, 2026
Posting Health
- Days active
- 24
- Repost count
- 0
- Trust Level
- 15%
- Scored at
- May 31, 2026
Signal breakdown
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