Engineering Manager II - Platform Backend

HighLevelPlatform infrastructure

Listing location: India; Workplace type: Remote; Structured job location: IndiaFull-TimeManager

Salary not disclosed

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Job Details

Experience: 10+ years of overall software engineering experience, including at least 2+ years in a Software Development Manager (or equivalent) role; platform team experience for at least 3+ years
Required Skills: AWSNode.jsPythonGCPGoGrafanaPrometheusDistributed Systems

Have 10+ years of overall software engineering experience, including at least 2+ years in a Software Development Manager or equivalent role.
Have expert-level proficiency in Go, Python, or Node.js.
Have managed a platform team or worked as an individual contributor on platform teams for at least 3+ years at enterprise scale.
Maintain a hands-on engineering orientation, including code review, production debugging, and architecture work.
Have practical experience managing GCP and/or AWS services, including provisioning, scaling, IAM, networking, and cost governance.
Show measurable results from cloud cost optimization initiatives in an enterprise environment.
Understand distributed systems architecture, including consistency, availability, fault tolerance, scaling patterns, and trade-offs.
Have hands-on observability experience with Prometheus, Grafana, ELK/OpenSearch, or equivalent tools.
Have experience with roadmap planning, estimation, and delivering complex initiatives on time.
Have people management experience, including hiring, mentoring, and performance management.
Communicate effectively with technical and non-technical stakeholders.
Actively use AI tools in engineering workflows; experience building or integrating agent-driven systems is a plus.

Own and evolve distributed systems architecture for platform services.
Drive cloud infrastructure cost optimization while maintaining reliability and performance.
Own roadmap planning, estimation, and predictable delivery for the platform team.
Establish observability and incident management practices, and drive blameless postmortems.
Use metrics and data to prioritize work and report on platform health, cost, and team performance.
Hire, mentor, and develop engineers while setting technical standards.
Partner with product engineering, SRE/infra, security, and leadership on platform capabilities.
Represent platform priorities, risks, and progress to engineering leadership and stakeholders.
Lead cloud infrastructure and service management across GCP and/or AWS, including provisioning, scaling, security, and cost governance.
Guide adoption of AI-driven engineering practices, agentic workflows, and AI-assisted tooling.

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