Senior DevOps Platform Engineer || Remote

Experience : 5.00 + years

Salary : Confidential (based on experience)

Expected Notice Period : 7 Days

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing) **(*Note: This is a requirement for one of Uplers' client - A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing)

**What do you need for this opportunity? Must have skills required: SaaS experience, AWS Networking, Bash, Kubernetes, Python, AI/ML, System Architecture

A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing is Looking for:****

Key Responsibilities Platform Architecture & System Design

• Design and evolve cloud-native platform architecture supporting multi-tenant SaaS applications
• Define infrastructure standards, deployment patterns, and platform best practices
• Lead architecture reviews and evaluate technical tradeoffs across reliability, performance, security, and cost
• Design highly available and fault-tolerant systems across multiple environments AWS Infrastructure
• Architect and manage large-scale AWS environments
• Design networking architectures including VPCs, subnets, security groups, routing, load balancing, and connectivity patterns
• Build secure deployment architectures aligned with security and compliance requirements
• Implement disaster recovery, backup, and business continuity strategies Kubernetes & Platform Operations
• Design and operate production Kubernetes environments
• Build scalable container orchestration strategies
• Optimize cluster performance, networking, autoscaling, and workload scheduling
• Improve developer experience through platform automation and self-service tooling AI & GPU Infrastructure
• Support AI and ML workloads running on AWS
• Design infrastructure for model training and inference workloads
• Manage GPU provisioning, utilization, scaling, and cost optimization
• Collaborate with AI teams to improve deployment and operational efficiency Reliability & Performance
• Define and measure SLIs, SLOs, and operational metrics
• Implement monitoring, observability, logging, alerting, and incident management practices
• Drive performance optimization and capacity planning initiatives
• Lead root cause analysis and reliability improvement effort Infrastructure Automation
• Build Infrastructure-as-Code solutions using Terraform
• Design and optimize CI/CD pipelines
• Automate provisioning, deployments, scaling, and operational workflows Cost Optimization
• Continuously evaluate cloud spending
• Develop capacity planning models
• Balance performance, reliability, and infrastructure costs

Required Experience

• 6+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Infrastructure roles.
• Proven experience designing and operating production-scale SaaS platforms.
• Strong expertise in AWS architecture, networking, security, and deployment strategies.
• Deep hands-on experience with Kubernetes, container orchestration, cluster operations, autoscaling, and workload management.
• Experience designing highly available, fault-tolerant, and scalable distributed systems.
• Strong understanding of system design, architecture trade-offs, and platform scalability.
• Hands-on experience with Infrastructure as Code (Terraform preferred).
• Experience building and maintaining CI/CD pipelines and deployment automation frameworks.
• Strong Linux, networking, and systems engineering fundamentals.
• Experience implementing observability, monitoring, logging, and incident management practices.
• Experience with disaster recovery planning, backup strategies, and business continuity design.
• Experience with cloud cost optimization, capacity planning, and resource utilization management.
• Hands-on experience supporting AI/ML workloads in production environments.
• Experience designing, provisioning, and operating GPU-based infrastructure for model training and/or inference workloads.
• Experience managing and optimizing AWS Bedrock, OpenSearch, and DocumentDB or equivalent platforms.
• Strong scripting and automation skills using Python, Bash, or similar languages.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!