Director Engineering, Platform Services
Team: Platform
Location: India
Commitment: Employee India
Workplace Type: remote
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts
We are seeking a Director – Platform Services to lead HighLevel’s evolution toward a modern, AI-enabled, developer-first platform.
This role is responsible for:
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Designing and operating scalable cloud infrastructureDriving platform services that enable product teams
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Leading adoption of AI capabilities across platform services
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Improving developer productivity and internal tooling
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Defining and executing infrastructure automation and cost strategies
This is a strategic and execution-focused leadership role, critical to HighLevel’s ability to scale efficiently, innovate faster, and operate with strong reliability and cost discipline.
Responsibilities:
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Lead a team building a centralized platform (Internal Developer Portal) to standardize how engineering teams: Spin up environments , Deploy services , Manage infrastructure , Scale applications globally
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Drive adoption of Platform-as-a-Product mindset, treating platform capabilities as products for internal developers.
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Define platform vision and roadmap aligned with business and engineering needs.
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Improve developer productivity across Dev teams: Reducing cognitive load , Standardizing workflows , Enabling self-service capabilities
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Build and scale: Golden paths and service templates , Developer tooling and CLI/API interfaces , Environment provisioning systems
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Build platform services and APIs that simplify complex infrastructure operations.
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Promote an API-first approach to platform capabilities.
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Enable developers to interact with infrastructure through standardized APIs and services.
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Support scalable, consistent service deployment patterns.
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Drive adoption of Infrastructure-as-Code (IaC) across the organization.
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Lead efforts to automate provisioning, configuration, and operations.
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Architect and oversee implementation of highly resilient infrastructure systems, including: Multi-region failover strategies , Disaster recovery and business continuity , Multi-cloud abstraction (where required)
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Ensure infrastructure supports seamless application migration during outages.
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Design for 99.99%+ availability across critical systems.
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Define and evolve CI/CD systems to support: High-velocity development driven by AI-generated code , Progressive delivery (canary, blue-green) Automated rollback based on telemetry , Risk-aware validation and automated quality checks ,
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Integrate: Policy-as-code , Security as a code , AI - Aware Validation
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Ensure CI/CD becomes the primary control system for safety and reliability.
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Act as the Scrum/Delivery leader for the platform organization.
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Balance: Immediate operational and migration needs , long term architectural imporvements
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Partner with SRE and Infra teams to ensure operational readiness.
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Ensure predictable delivery of platform initiatives
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Partner with Cloud Infrastructure and FinOps teams to : Optimize infrastructure utilization , Improve cost visibility and predictability , Ensure platform abstractions are cost-efficient
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Balance performance, reliability, and cost.
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Build and lead high-performing teams across : Platform Engineering : Cloud Intra , Dev Ex /CI/CD Pipeline , Infra Automation
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Develop managers, leads, and senior ICs.
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Establish clear ownership, accountability, and growth paths.
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Foster a culture of innovation, reliability, and operational excellence.
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Work closely with: Product Engineering teams to enable faster delivery ,
- Data and AI teams for platform integration , Security and compliance teams for governanc
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Act as a key technical leader in executive discussions and decision-making.
Requirements:
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Bachelor’s degree or equivalent experience in Engineering or related field.
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12+ years of experience in platform, infrastructure, or cloud engineering.
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Proven experience leading platform engineering and infrastructure teams at scale.
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Strong hands-on experience with: Cloud platforms (GCP preferred) , Kubernetes (GKE) and distributed systems , CI/CD and DevOps practices
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Experience driving developer productivity initiatives and platform adoption.
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Experience defining and executing automation and infrastructure strategies.
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Strong leadership, communication, and stakeholder management skills.
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Experience enabling AI/ML platforms or AI product integrations
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Familiarity with LLM platforms, model serving, or AI infrastructure
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Experience with Internal Developer Platforms (IDP)
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Experience in high-growth SaaS environments
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Exposure to compliance and audit-driven environments (SOC2, IPO readiness)
Nice to Have :
What Success Looks like (First 6–12 Months)
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Platform services enable faster and more reliable product development.
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AI capabilities are safely and effectively adopted across teams.
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Developer productivity improves measurably.
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Infrastructure is highly automated and requires minimal manual intervention.
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Costs (including AI workloads) are optimized and predictable.
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Platform and infrastructure systems are scalable, secure, and reliable.
Youtube Channel : https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g
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