Senior Cloud & DevOps Engineer — AI Platform Operations
StratLytics is hiring a Senior Cloud & DevOps Engineer \u2014 AI Platform Operations<\/b> for our Bhubaneswar office<\/b> to support a high\-impact AI underwriting initiative for a North American fintech client.
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This role is ideal for a senior AWS cloud, DevOps, SRE, or platform engineering professional who can design, deploy, monitor, and support production\-grade AI and data applications. The selected candidate will own cloud infrastructure, deployment automation, monitoring, incident response, and operational readiness for AI applications built using AWS, Claude/Bedrock, FastAPI, PostgreSQL, S3, and related technologies.
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This is not a traditional systems administration role. The role requires hands\-on cloud engineering, DevOps discipline, production support maturity, and the ability to manage junior systems engineers in an 18x7 support model.
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Key responsibilities include:<\/b>
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\- Design, deploy, and manage AWS infrastructure for AI, data, and application workloads.
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\- Set up and manage services such as EC2/ECS/App Runner, RDS PostgreSQL/Aurora PostgreSQL, S3, IAM, VPC, Secrets Manager, KMS, CloudWatch, and related AWS services.
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\- Support deployment of FastAPI, Streamlit, background workers, and AI application services.
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\- Configure secure access to Amazon Bedrock / Claude and related AI platform services.
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\- Build and maintain CI/CD pipelines for reliable application deployment.
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\- Implement monitoring, logging, alerting, backup, recovery, and incident\-response processes.
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\- Create and maintain runbooks, SOPs, deployment checklists, and support documentation.
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\- Lead L1/L2 operational support and coordinate L3 escalation to AI engineers, data engineers, and AI scientists.
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\- Manage, guide, and review the work of junior systems engineers.
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\- Ensure infrastructure is secure, auditable, cost\-aware, and suitable for financial\-services workloads.
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\- Participate in client\-facing technical discussions, status reviews, and incident reviews as required.
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Requirements<\/h3>
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Requirements<\/h3>Required:<\/b>
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<\/div>\- 7+ years of experience in cloud engineering, DevOps, SRE, platform engineering, or production systems operations.
<\/div>\- Strong hands\-on experience with AWS.
<\/div>\- Experience with core AWS services such as EC2, ECS/Fargate, App Runner, RDS PostgreSQL/Aurora PostgreSQL, S3, IAM, VPC, Security Groups, Secrets Manager, KMS, CloudWatch, and CloudTrail.
<\/div>\- Experience deploying and supporting Python\-based applications, APIs, containers, and web services.
<\/div>\- Strong understanding of Docker, containerized deployments, CI/CD pipelines, and release management.
<\/div>\- Experience with Linux administration, shell scripting, networking basics, log analysis, and troubleshooting.
<\/div>\- Experience supporting production systems with monitoring, alerting, incident management, backup, recovery, and root\-cause analysis.
<\/div>\- Working knowledge of PostgreSQL operations, connectivity, backup/restore, and performance monitoring.
<\/div>\- Ability to lead junior engineers and operate in an 18x7 support model.
<\/div>\- Strong documentation skills for run books, SOPs, incident reports, and deployment notes.
<\/div>\- Good communication skills and ability to work with engineering, data, AI, and client teams.
<\/div>\- Willingness to work from the StratLytics Bhubaneswar office.
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<\/div>Preferred:<\/b>
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<\/div>\- Experience with Amazon Bedrock, Claude, OpenAI, or other enterprise LLM platforms.
<\/div>\- Experience supporting AI/ML, data science, analytics, or SaaS applications.
<\/div>\- Experience with FastAPI, Streamlit, Celery, Redis, or Python application stacks.
<\/div>\- Experience with Terraform, CloudFormation, or infrastructure\-as\-code tools.
<\/div>\- Experience with GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.
<\/div>\- Exposure to LangGraph, LangChain, LLMOps, model\-serving, or AI application observability.
<\/div>\- Experience with CloudWatch dashboards, centralized logging, alerting, and cost monitoring.
<\/div>\- Experience in fintech, banking, lending, regulated industries, or client\-facing managed services.
<\/div>\- AWS certifications such as AWS Solutions Architect, AWS SysOps Administrator, AWS DevOps Engineer, or equivalent.
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Benefits<\/h3>\- Competitive compensation aligned with market standards, based on experience and capability.
<\/div>\- Opportunity to lead cloud and DevOps operations for a high\-impact AI underwriting programme.
<\/div>\- Exposure to AWS, Claude/Bedrock, AI platform operations, financial\-services technology, and production AI systems.
<\/div>\- Opportunity to manage and mentor junior systems engineers.
<\/div>\- Work on practical, governed AI systems rather than generic proof\-of\-concept demos.
<\/div>\- Collaborate with experienced AI, data science, data engineering, and platform professionals.
<\/div>\- Gain experience in 18x7 support operations, client\-facing delivery, and AI platform reliability.
<\/div>\- Candidates from other cities are welcome to apply if they are open to relocating to Bhubaneswar.
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\- 7+ years of experience in cloud engineering, DevOps, SRE, platform engineering, or production systems operations.
<\/div>
<\/div>
\- Strong hands\-on experience with AWS.
<\/div>
<\/div>
\- Experience with core AWS services such as EC2, ECS/Fargate, App Runner, RDS PostgreSQL/Aurora PostgreSQL, S3, IAM, VPC, Security Groups, Secrets Manager, KMS, CloudWatch, and CloudTrail.
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\- Experience deploying and supporting Python\-based applications, APIs, containers, and web services.
<\/div>
<\/div>
\- Strong understanding of Docker, containerized deployments, CI/CD pipelines, and release management.
<\/div>
<\/div>
\- Experience with Linux administration, shell scripting, networking basics, log analysis, and troubleshooting.
<\/div>
<\/div>
\- Experience supporting production systems with monitoring, alerting, incident management, backup, recovery, and root\-cause analysis.
<\/div>
<\/div>
\- Working knowledge of PostgreSQL operations, connectivity, backup/restore, and performance monitoring.
<\/div>
<\/div>
\- Ability to lead junior engineers and operate in an 18x7 support model.
<\/div>
<\/div>
\- Strong documentation skills for run books, SOPs, incident reports, and deployment notes.
<\/div>
<\/div>
\- Good communication skills and ability to work with engineering, data, AI, and client teams.
<\/div>
<\/div>
\- Willingness to work from the StratLytics Bhubaneswar office.
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Preferred:<\/b>
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\- Experience with Amazon Bedrock, Claude, OpenAI, or other enterprise LLM platforms.
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<\/div>
\- Experience supporting AI/ML, data science, analytics, or SaaS applications.
<\/div>
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\- Experience with FastAPI, Streamlit, Celery, Redis, or Python application stacks.
<\/div>
<\/div>
\- Experience with Terraform, CloudFormation, or infrastructure\-as\-code tools.
<\/div>
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\- Experience with GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.
<\/div>
<\/div>
\- Exposure to LangGraph, LangChain, LLMOps, model\-serving, or AI application observability.
<\/div>
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\- Experience with CloudWatch dashboards, centralized logging, alerting, and cost monitoring.
<\/div>
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\- Experience in fintech, banking, lending, regulated industries, or client\-facing managed services.
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\- AWS certifications such as AWS Solutions Architect, AWS SysOps Administrator, AWS DevOps Engineer, or equivalent.
<\/div><\/span>
Benefits<\/h3>
<\/div><\/span>
Benefits<\/h3>\- Competitive compensation aligned with market standards, based on experience and capability.
<\/div>\- Opportunity to lead cloud and DevOps operations for a high\-impact AI underwriting programme.
<\/div>\- Exposure to AWS, Claude/Bedrock, AI platform operations, financial\-services technology, and production AI systems.
<\/div>\- Opportunity to manage and mentor junior systems engineers.
<\/div>\- Work on practical, governed AI systems rather than generic proof\-of\-concept demos.
<\/div>\- Collaborate with experienced AI, data science, data engineering, and platform professionals.
<\/div>\- Gain experience in 18x7 support operations, client\-facing delivery, and AI platform reliability.
<\/div>\- Candidates from other cities are welcome to apply if they are open to relocating to Bhubaneswar.
<\/div><\/span>
<\/div>
\- Opportunity to lead cloud and DevOps operations for a high\-impact AI underwriting programme.
<\/div>
<\/div>
\- Exposure to AWS, Claude/Bedrock, AI platform operations, financial\-services technology, and production AI systems.
<\/div>
<\/div>
\- Opportunity to manage and mentor junior systems engineers.
<\/div>
<\/div>
\- Work on practical, governed AI systems rather than generic proof\-of\-concept demos.
<\/div>
<\/div>
\- Collaborate with experienced AI, data science, data engineering, and platform professionals.
<\/div>
<\/div>
\- Gain experience in 18x7 support operations, client\-facing delivery, and AI platform reliability.
<\/div>
<\/div>
\- Candidates from other cities are welcome to apply if they are open to relocating to Bhubaneswar.
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