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The Role
Design, deploy, and operate AWS infrastructure and CI/CD for production AI applications. Manage monitoring, incident response, backups, security, and runbooks. Lead L1/L2 support, mentor junior engineers, and participate in client-facing technical reviews for fintech AI workloads.
Summary Generated by Built In
StratLytics is hiring a Senior Cloud & DevOps Engineer — AI Platform Operations for our Bhubaneswar office to support a high-impact AI underwriting initiative for a North American fintech client.
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.
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.
Key responsibilities include:
- Design, deploy, and manage AWS infrastructure for AI, data, and application workloads.
- 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.
- Support deployment of FastAPI, Streamlit, background workers, and AI application services.
- Configure secure access to Amazon Bedrock / Claude and related AI platform services.
- Build and maintain CI/CD pipelines for reliable application deployment.
- Implement monitoring, logging, alerting, backup, recovery, and incident-response processes.
- Create and maintain runbooks, SOPs, deployment checklists, and support documentation.
- Lead L1/L2 operational support and coordinate L3 escalation to AI engineers, data engineers, and AI scientists.
- Manage, guide, and review the work of junior systems engineers.
- Ensure infrastructure is secure, auditable, cost-aware, and suitable for financial-services workloads.
- Participate in client-facing technical discussions, status reviews, and incident reviews as required.
Requirements
Required:
- 7+ years of experience in cloud engineering, DevOps, SRE, platform engineering, or production systems operations.
- Strong hands-on experience with AWS.
- 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.
- Experience deploying and supporting Python-based applications, APIs, containers, and web services.
- Strong understanding of Docker, containerized deployments, CI/CD pipelines, and release management.
- Experience with Linux administration, shell scripting, networking basics, log analysis, and troubleshooting.
- Experience supporting production systems with monitoring, alerting, incident management, backup, recovery, and root-cause analysis.
- Working knowledge of PostgreSQL operations, connectivity, backup/restore, and performance monitoring.
- Ability to lead junior engineers and operate in an 18x7 support model.
- Strong documentation skills for run books, SOPs, incident reports, and deployment notes.
- Good communication skills and ability to work with engineering, data, AI, and client teams.
- Willingness to work from the StratLytics Bhubaneswar office.
Preferred:
- Experience with Amazon Bedrock, Claude, OpenAI, or other enterprise LLM platforms.
- Experience supporting AI/ML, data science, analytics, or SaaS applications.
- Experience with FastAPI, Streamlit, Celery, Redis, or Python application stacks.
- Experience with Terraform, CloudFormation, or infrastructure-as-code tools.
- Experience with GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.
- Exposure to LangGraph, LangChain, LLMOps, model-serving, or AI application observability.
- Experience with CloudWatch dashboards, centralized logging, alerting, and cost monitoring.
- Experience in fintech, banking, lending, regulated industries, or client-facing managed services.
- AWS certifications such as AWS Solutions Architect, AWS SysOps Administrator, AWS DevOps Engineer, or equivalent.
Benefits
- Competitive compensation aligned with market standards, based on experience and capability.
- Opportunity to lead cloud and DevOps operations for a high-impact AI underwriting programme.
- Exposure to AWS, Claude/Bedrock, AI platform operations, financial-services technology, and production AI systems.
- Opportunity to manage and mentor junior systems engineers.
- Work on practical, governed AI systems rather than generic proof-of-concept demos.
- Collaborate with experienced AI, data science, data engineering, and platform professionals.
- Gain experience in 18x7 support operations, client-facing delivery, and AI platform reliability.
- Candidates from other cities are welcome to apply if they are open to relocating to Bhubaneswar.
Skills Required
- 7+ years of experience in cloud engineering, DevOps, SRE, platform engineering, or production systems operations
- Strong hands-on experience with AWS
- Experience with EC2, ECS/Fargate, App Runner, RDS PostgreSQL/Aurora PostgreSQL, S3, IAM, VPC, Security Groups, Secrets Manager, KMS, CloudWatch, CloudTrail
- Experience deploying and supporting Python-based applications, APIs, containers, and web services
- Strong understanding of Docker, containerized deployments, CI/CD pipelines, and release management
- Experience with Linux administration, shell scripting, networking basics, log analysis, and troubleshooting
- Experience supporting production systems with monitoring, alerting, incident management, backup, recovery, and root-cause analysis
- Working knowledge of PostgreSQL operations, connectivity, backup/restore, and performance monitoring
- Ability to lead junior engineers and operate in an 18x7 support model
- Strong documentation skills for run books, SOPs, incident reports, and deployment notes
- Good communication skills and ability to work with engineering, data, AI, and client teams
- Willingness to work from the StratLytics Bhubaneswar office
- Experience with Amazon Bedrock, Claude, OpenAI, or other enterprise LLM platforms
- Experience supporting AI/ML, data science, analytics, or SaaS applications
- Experience with FastAPI, Streamlit, Celery, Redis, or Python application stacks
- Experience with Terraform, CloudFormation, or infrastructure-as-code tools
- Experience with GitHub Actions, GitLab CI/CD, Jenkins, or similar CI/CD tools
- Exposure to LangGraph, LangChain, LLMOps, model-serving, or AI application observability
- Experience with CloudWatch dashboards, centralized logging, alerting, and cost monitoring
- Experience in fintech, banking, lending, regulated industries, or client-facing managed services
- AWS certifications such as AWS Solutions Architect, AWS SysOps Administrator, or AWS DevOps Engineer
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The Company
What We Do
StratLytics is a data science and management consulting firm that develops AI-powered decision intelligence platforms and provides advanced analytics, machine learning, and data engineering solutions. It specializes in transforming complex data and workflows into governed business decisions for sectors including financial services, energy, utilities, retail, and industrial supply chains, focusing on improving decision-making and driving growth.
