Role Overview :

We seek a top-tier Senior Cloud Solutions Engineer - AWS to lead strategic cloud operations, drive innovation, and shape product direction. Only candidates with proven expertise in large-scale, high-spend AWS environments will be considered.

Key Responsibilities :

Cloud Operations & Architecture :

- Design, secure, and optimize cloud infrastructure handling $1M+/year spend across 100+ AWS accounts.

- Automate operations using Python, CloudFormation, and Systems Manager to enable proactive scaling and cost-triggered remediations.

- Solve complex failures in distributed systems using CloudWatch, X-Ray, and native tooling.

- Implement measurable cost optimizations (e.g., "Achieved 35% savings via rightsizing/Spot adoption").

- Enforce least-privilege security, encryption, and compliance via automated audits.

- Maintain >99.9% uptime through rigorous incident management and chaos engineering.

Research & Product Leadership :

- Lead research initiatives and POCs to explore new technologies and methodologies.

- Provide opinionated insights and recommendations to influence product strategy and roadmap.

- Collaborate with cross-functional teams to translate research findings into actionable product features.

Generative AI & Emerging Technologies :

- Design and implement generative AI applications using Amazon Bedrock, leveraging foundation models from providers like Anthropic and AI21 Labs.

- Develop and manage agentic AI workflows utilizing Amazon Bedrock Agents, including custom orchestrators for complex task automation.

- Integrate Model Context Protocol (MCP) servers to enhance AI capabilities with domain-specific knowledge and tool access.

- Collaborate with cross-functional teams to translate research findings into actionable product features.

- Stay abreast of industry trends and emerging technologies to inform product development

Desired Skills :

Must have :

- Must have worked at an AWS-certified MSP or Enterprise Cloud Center of Excellence (CCOE) serving multiple internal teams.

- Must be hands-on in supporting production-grade workloads across 100+ AWS accounts with >$100K/month cloud spend.

- Must have performed 5+ customer assessments such as Formal Technical Reviews (FTRs)/Well-Architected Framework Reviews (WAFRs) with documented optimization results.

- Must have built proactive/reactive automations for cost, security, and compliance.

- Must have used AWS-native FinOps/SecOps tools (Security Hub, Config, Cost Explorer) or third-party equivalents.

- Proven experience in AWS cost optimization and financial operations (FinOps).

- Strong proficiency in AWS services such as EC2, S3, RDS, Lambda, Bedrock etc.

- Experience with AWS Cost Explorer, Budgets, and other cost management tools.

- Proficiency in scripting languages like Python or Bash for automation purposes.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

- AWS certifications such as AWS Certified Solutions Architect or AWS Certified AI Practitioner are preferred.

Preferred Skills :

- Experience with FinOps tools like CloudHealth, Apptio Cloudability, or similar.

- Knowledge of cloud governance and compliance standards.

- Familiarity with DevOps practices and CI/CD pipelines.

- Experience in leading research initiatives and providing strategic product insights.

Experience :

- 8+ years of experience in cloud operations, with a strong focus on AWS services.

- Hands-on experience designing and operating production-grade infrastructure on AWS.

- Proficient in writing and managing AWS CloudFormation templates with practical experience.

- Hands-on experience using Amazon CloudWatch for monitoring, alerting, and dashboard configuration.

- Performed independent root cause analysis and troubleshooting in cloud production environments.

- Managed EC2 lifecycle, patching, and configuration using AWS Systems Manager in production setups.

- Ensured cloud security using IAM policies, encryption standards, and audit mechanisms with best practices.

- Worked directly with product or customer teams to translate business needs into scalable technical solutions.

- Led operational readiness and incident management in critical environments with proven examples.

- Experience in designing or deploying generative AI applications using Amazon Bedrock (preferred).

- Experience working with Model Context Protocol (MCP) servers or similar AI orchestration frameworks (preferred).

Education :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Perks :

- Hybrid work mode (2 Days WFO)