Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.
About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
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.
Our People
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.
Our Impact
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.
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
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.
Our People
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.
Our Impact
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.
About the Role:
We're looking for an experienced Engineering Manager II to lead engineering for our Platform Services team - the team responsible for the shared infrastructure, internal tooling, and core services that other product teams build on. This is not a purely managerial role; you'll stay hands-on with architecture, code, and systems while owning team outcomes, delivery, and platform reliability at enterprise scale.
Responsibilities:
- Architecture & Scale: Own and evolve distributed systems architecture for platform services, ensuring they're reliable, extensible, and performant under enterprise-scale load.
- Cost & Efficiency: Drive continuous cost optimization initiatives across cloud infrastructure without compromising reliability or performance - with measurable, sustained impact.
- Execution & Delivery: Own roadmap planning, estimation, and predictable delivery for the platform team, balancing tech debt, new capabilities, and operational stability.
- Reliability & Operations: Establish strong observability and incident management practices; ensure the team can detect, diagnose, and resolve issues quickly, and drive blameless postmortems that lead to real fixes.
- Data-Driven Decision Making: Use metrics and data to prioritize, evaluate trade-offs, and report on platform health, cost, and team performance.
- People & Culture: Hire, mentor, and grow engineers; set technical standards; build a culture of ownership and craftsmanship within the team.
- Cross-Functional Collaboration: Partner closely with product engineering teams, SRE/infra, security, and leadership to align platform capabilities with organizational needs.
- Communication: Represent the platform team's priorities, risks, and progress clearly to engineering leadership and stakeholders across the org.
Requirements:
- 10+ years of overall software engineering experience, including at least 2+ years in a Software Development Manager (or equivalent) role.
- Expert-level proficiency in either Go, Python or Nodejs.
- Prior experience managing a platform team, or having worked as an individual contributor on platform teams for at least 3+ years, at enterprise scale.
- Strong hands-on orientation - comfortable reviewing code, debugging production issues, and going deep on architecture, not just managing processes. Candidates in a purely managerial (non-hands-on) role for the last 1+ year will not be considered a fit.
- Deep, practical experience with GCP and/or AWS service management - provisioning, scaling, IAM, networking, and cost governance.
- Demonstrated track record of driving cost optimization initiatives in an enterprise cloud environment, with measurable results.
- Strong understanding of distributed systems architecture - consistency, availability, fault tolerance, scaling patterns, and trade-offs at scale.
- Strong observability fundamentals - hands-on experience with tools like Prometheus, Grafana, ELK/OpenSearch, or equivalent, and a track record of building observability into systems from the ground up.
- A data-driven approach to decision-making, prioritization, and performance reporting.
- Proven experience in roadmap planning, estimation, and delivering complex initiatives on time.
- Strong people management skills - hiring, mentoring, performance management - combined with the ability to collaborate effectively across engineering, product, and security teams.
- Excellent verbal and written communication skills, with the ability to influence both technical and non-technical stakeholders.
- AI-first mindset - actively using AI tools in engineering workflows in recent years; experience building or integrating agent-driven systems is a strong plus.
What You'll Lead:
- A team of platform engineers building and operating shared services, internal platforms, and infrastructure used across multiple product lines.
- Cloud infrastructure and service management across GCP/AWS, including provisioning, scaling, security, and cost governance.
- Observability strategy - metrics, logging, tracing, and alerting - so the org has clear visibility into system health and performance.
- Adoption of AI-driven engineering practices, including exploring agentic workflows and AI-assisted tooling to improve developer velocity and platform automation.
EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
We encourage you to review our Privacy Policy before submitting your application
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Conduct electrical failure and data analysis for next-generation 3D NAND devices. Develop and oversee outgoing quality-monitoring plans, prepare product release documentation, assess risks, and manage product deviations and dispositions in high-volume manufacturing. Analyze rejected products to identify failure modes and mechanisms, support corrective and preventive actions, and collaborate with R&D and Product Engineering on reliability issues and customer risk assessment.
Top Skills:
3D NandAi-Enabled ToolsData AnalysisFailure AnalysisSemiconductor Memory
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develops and applies quality assurance protocols for raw materials, production equipment, in-process materials, and finished semiconductor products. Ensures compliance with company standards, government regulations, GMPs, and ISO requirements. Analyzes inspection data and trends, recommends corrective actions, verifies sampling and statistical process control procedures, and supports continuous improvement using Generative AI insights.
Top Skills:
Generative AiStatistical Process Control (Spc)
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads Ericsson’s APAC ethics and compliance program, overseeing anti-bribery, antitrust, AML, human rights, sanctions, third-party due diligence, investigations, remediation, governance, training, risk assessment, and emerging-risk identification. Advises senior business leaders, manages compliance committees, analyzes program effectiveness, and develops a geographically distributed compliance team across APAC.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
