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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable, fault-tolerant infrastructure systems across multi-cloud environments, with a strong focus on Infrastructure as Code practices and observability. Proven ability to lead technical initiatives and mentor engineering teams to enhance operational excellence.
Highest-signal resume keywords
Multi-Cloud Infrastructure ManagementInfrastructure As Code (Terraform, Pulumi)Kubernetes OrchestrationDistributed Systems ArchitectureObservability Tools (Datadog, Sentry)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Infrastructure (Azure, GCP)Python ProgrammingGo ProgrammingDistributed Systems DesignLoad BalancingQuota ManagementFailover MechanismsIncident Response PracticesCI/CD Pipeline DevelopmentNetworking
Soft Skills
Problem-SolvingTechnical LeadershipMentoring
Tools & Technologies
TerraformPulumiKubernetesRedisDatadogSentryPagerDutyIncident.io
Industry Keywords
Infrastructure EngineeringBackend Platform EngineeringOperational ExcellenceObservability InfrastructureData Residency Requirements
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPythonRedisTerraformGo
About the role
Key responsibilities & impact- Design and build scalable, fault-tolerant infrastructure systems for Harvey's AI platform across multiple cloud regions
- Own and evolve multi-cloud infrastructure across Azure and GCP, including Kubernetes orchestration, networking, and container management
- Lead technical initiatives for observability, incident response, and operational excellence
- Architect and optimize distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams
- Drive infrastructure-as-code practices with Terraform and Pulumi for reproducible, auditable deployments
- Mentor engineers and raise the technical bar through code reviews, design reviews, and technical leadership
- Design a model proxy architecture routing millions of daily inference requests
- Build distributed rate limiting and quota management systems using Redis-backed algorithms
- Architect multi-region deployments meeting data residency requirements
- Develop observability infrastructure with SLA monitoring, burn rate alerts, and token attribution
- Lead CI/CD pipeline evolution to improve developer velocity while maintaining production stability
Requirements
What you’ll need- 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms; Azure preferred, with GCP or AWS experience transferable
- Strong fluency in Infrastructure as Code tools: Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools such as Datadog and Sentry
- Experience with incident response practices and tools such as PagerDuty and Incident.io
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills and commitment to operational excellence
- Must be authorized to work in India
- Visa sponsorship is not available for this role
Benefits
Comp & perks- Opportunity for personal, professional, and financial growth
- Hybrid in-office model with flexibility: office three days a week
- Equal opportunity employer
- Reasonable accommodations for applicants with disabilities