AWSCloudDistributed SystemsDockerElasticSearchGrafanaKubernetesMicroservicesPostgresPrometheusPythonRedisRubyRuby on RailsAIGenAIRailsPostgreSQLElasticsearchOpenTelemetrySaaSCI/CDLeadershipCommunication
About this role
Role Overview
Own and drive architecture integrity
Lead final design and code reviews
Influence cross-team technical direction
Ensure systems meet scale, reliability, and security standards
Drive architectural decisions for high-scale CX SaaS systems
Conduct and sign off on final design and implementation reviews
Build and evolve production-grade backend services using Python or Ruby on Rails
Ensure platform reliability, performance, and security at scale
Partner closely with Product and AI teams to translate product vision into robust systems
Mentor senior and mid-level engineers and elevate engineering standards
Identify and resolve systemic technical risks proactively
Champion engineering best practices across teams
Leverage GenAI developer tools to accelerate delivery and code quality.
Design and deliver scalable, distributed backend systems
Review and approve architecture proposals and critical PRs
Guide teams on microservices and event-driven patterns
Optimize system performance, cost, and reliability
Drive improvements in CI/CD, observability, and DevOps maturity
Support secure, compliant deployments (enterprise-grade expectations)
Collaborate cross-functionally to unblock complex initiatives
Raise the technical bar through coaching and technical leadership
Requirements
10+ years backend engineering experience in production SaaS environments
Proven hands-on expertise in Python or Ruby on Rails at scale
Demonstrated ownership of large-scale distributed systems
Strong experience with microservices and event-driven architectures
Deep familiarity with AWS (or equivalent cloud platforms)
Solid experience with Docker and Kubernetes in production
Strong command of PostgreSQL and at least one of Redis / Elasticsearch
Proven record of technical leadership and mentorship
Excellent communication and stakeholder influence skills
Practical experience using GenAI coding tools (Copilot, ChatGPT, etc.) to improve engineering velocity
Preferred (Strong Plus)
Experience building CX, social listening, or real-time engagement platforms
Background in high-growth startup environments
Experience improving DevOps maturity and CI/CD pipelines
Exposure to observability stacks (Prometheus, Grafana, OpenTelemetry, etc.)
Public technical writing or open-source contributions
Experience working in AI-enabled product environments