High Availability and Scalability Engineering Lead

Here’s a comprehensive job description for a High Availability and Scalability Engineering Lead — suitable for enterprise, SaaS, or mission-critical infrastructure teams:

Job Title:

High Availability & Scalability Engineering Lead

Role Overview:

The High Availability & Scalability Engineering Lead is responsible for designing, implementing, and managing highly available, fault-tolerant, and scalable systems to support critical business applications. This role blends deep technical expertise in distributed systems, cloud infrastructure, and performance optimization with leadership and cross-functional collaboration.

You will lead a team of engineers to ensure that all platforms meet stringent SLAs for uptime, resilience, and scalability—especially under peak loads or failure scenarios.

Key Responsibilities:Architecture & Design

• Design and implement high-availability architectures using clustering, load balancing, replication, and failover strategies.
• Lead design reviews for scalable distributed systems (microservices, event-driven, or service mesh architectures).
• Evaluate and adopt cloud-native technologies (e.g., Kubernetes, ECS, autoscaling groups, service meshes, serverless) to enhance elasticity and resilience.
• Drive the definition of RTO/RPO, failover automation, and multi-region deployment strategies.

Implementation & Operations

• Develop and enforce SLAs, SLOs, and SLIs for reliability, latency, and performance.
• Lead efforts in capacity planning, performance tuning, and chaos testing to ensure predictable system behavior under stress.
• Collaborate with DevOps and SRE teams to automate infrastructure provisioning (e.g., Terraform, Pulumi, CloudFormation).
• Establish monitoring, alerting, and self-healing mechanisms using tools such as Prometheus, Grafana, Datadog, or New Relic.

Leadership & Strategy

• Mentor and guide engineers on designing resilient, performant, and secure architectures.
• Partner with product and platform engineering to forecast future growth and capacity needs.
• Create frameworks and best practices for high availability, DR, and horizontal scalability across teams.
• Lead incident reviews, root cause analysis, and reliability retrospectives to drive continuous improvement.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 8+ years of experience in backend, infrastructure, or systems engineering; 3+ years in a leadership or architect role.
• Deep expertise with cloud platforms (Azure) and container orchestration (Kubernetes, Docker, ECS).
• Proficiency in distributed systems design, load balancing, replication, failover, and data partitioning.
• Strong programming experience in one or more: Go, Python, Java, or C++.
• Experience with observability and reliability engineering (monitoring, logging, tracing, SLOs).
• Proven ability to lead cross-functional initiatives, drive architectural decisions, and scale systems supporting millions of users or high transaction volumes.

Preferred Qualifications:

• Hands-on experience with multi-region, multi-cloud architectures.
• Certification in Microsoft Azure
• Background in SRE principles, Chaos Engineering, or Resilience Engineering.
• Knowledge of event-streaming technologies (Kafka, Pulsar, RabbitMQ) and distributed databases (Cassandra, CockroachDB, DynamoDB).

Success Indicators:

• Achieved uptime and latency SLAs consistently across services.
• Reduction in mean time to recovery (MTTR) and incident frequency.
• Documented and automated failover and scaling strategies.
• Demonstrated mentorship and technical leadership within engineering teams.

Job Type: Full-time

Pay: ₹670,805.33 - ₹2,059,333.85 per year

Benefits:

• Cell phone reimbursement
• Health insurance
• Internet reimbursement
• Paid sick time
• Paid time off