Senior Cloud Solution Engineer - AWS

• *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 SkillsMust 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.

Please share with me your updated resume here : divya.nanjundan@montycloud.com

Benefits

• Flexible schedule
• Paid sick time
• Paid time off
• Work from home

Work Location: Hybrid remote in Indiranagar, Bengaluru, Karnataka