Senior Platform Engineer

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

📋 Description

• Create and enhance cloud-native platform architecture that accommodates multi-tenant SaaS applications.

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

• Lead architecture assessments and analyze technical trade-offs involving reliability, performance, security, and cost.

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

• Architect and oversee extensive AWS environments.

• Develop networking architectures, including VPCs, subnets, security groups, routing, load balancing, and connectivity strategies.

• Construct secure deployment architectures that meet security and compliance standards.

• Execute disaster recovery, backup, and business continuity plans.

• Design and manage production Kubernetes environments.

• Formulate scalable container orchestration strategies.

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

• Elevate developer experience through platform automation and self-service tools.

• Provide support for AI and ML workloads operating on AWS.

• Create infrastructure 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 track 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 analysis and spearhead reliability enhancement efforts.

• Develop Infrastructure-as-Code solutions utilizing Terraform.

• Design and refine CI/CD pipelines.

• Automate provisioning, deployments, scaling, and operational procedures.

• Continuously assess cloud expenditures.

• Formulate capacity planning models.

• Balance performance, reliability, and infrastructure costs.

⛳️ Requirements

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

• Demonstrated experience in designing and managing production-scale SaaS platforms.

• Strong knowledge of AWS architecture, networking, security, and deployment strategies.

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

• Proven expertise in designing highly available, fault-tolerant, and scalable distributed systems.

• Solid understanding of system design, architecture trade-offs, and platform scalability.

• Direct experience with Infrastructure as Code (preferably Terraform).

• Familiarity with building and maintaining CI/CD pipelines and deployment automation frameworks.

• Strong fundamentals in Linux, networking, and systems engineering.

• Experience in implementing observability, monitoring, logging, and incident management practices.

• Knowledge of 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 settings.

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

• Familiarity with managing and optimizing AWS Bedrock, OpenSearch, and DocumentDB or equivalent platforms.

• Strong scripting and automation capabilities 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 continuous learning.

• Supportive and dynamic team environment.