Senior Platform Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Create and enhance cloud-native platform architecture for multi-tenant SaaS applications

• Establish infrastructure standards, deployment patterns, and best practices for the platform

• Lead architecture assessments and analyze technical trade-offs related to reliability, performance, security, and cost

• Design systems that are highly available and fault-tolerant across various environments

• Architect and oversee large-scale AWS infrastructures

• Develop networking architectures that include VPCs, subnets, security groups, routing, load balancing, and connectivity patterns

• Construct secure deployment architectures that comply with security and regulatory requirements

• Implement strategies for disaster recovery, backup, and business continuity

• Design and manage production Kubernetes environments

• Develop scalable strategies for container orchestration

• Enhance cluster performance, networking, autoscaling, and workload scheduling

• Improve the developer experience through platform automation and self-service tools

• Support AI and ML workloads hosted on AWS

• Design infrastructure suitable for model training and inference tasks

• Oversee GPU provisioning, utilization, scaling, and cost management

• Collaborate with AI teams to enhance deployment and operational efficiency

• Define and monitor SLIs, SLOs, and operational metrics

• Implement practices for monitoring, observability, logging, alerting, and incident management

• Lead initiatives for performance optimization and capacity planning

• Conduct root cause analyses and drive reliability improvement efforts

• Build Infrastructure-as-Code solutions using Terraform

• Design and refine CI/CD pipelines

• Automate workflows for provisioning, deployments, scaling, and operations

• Continuously assess cloud spending

• Develop models for capacity planning

• Balance performance, reliability, and infrastructure expenses

⛳️ Requirements

• 6-8 years of experience in DevOps, Platform Engineering, SRE, or Cloud Infrastructure roles

• Demonstrated experience in designing and operating production-scale SaaS platforms

• Strong proficiency in AWS architecture, networking, security, and deployment methodologies

• Extensive hands-on experience with Kubernetes, container orchestration, cluster operations, autoscaling, and workload management

• Experience in designing systems that are highly available, fault-tolerant, and scalable

• Comprehensive understanding of system design, architectural trade-offs, and platform scalability

• Practical experience with Infrastructure as Code (Terraform preferred)

• Background in building and maintaining CI/CD pipelines and deployment automation frameworks

• Strong fundamentals in Linux, networking, and systems engineering

• Familiarity with implementing observability, monitoring, logging, and incident management protocols

• Experience in disaster recovery planning, backup strategies, and business continuity design

• Knowledge in cloud cost optimization, capacity planning, and resource utilization management

• Practical experience supporting AI/ML workloads in production settings

• Expertise in designing, provisioning, and managing GPU-based infrastructure for model training and/or inference tasks

• Experience with managing and optimizing AWS Bedrock, OpenSearch, and DocumentDB or similar platforms

• Proficient in scripting and automation using Python, Bash, or similar languages

🏝️ Benefits

• Competitive salary and performance-based bonuses

• Comprehensive health, dental, and vision insurance

• Flexible work hours and remote work options

• Opportunities for professional development and growth

• Collaborative and innovative work environment