Key skills
CI/CD SystemsInfrastructure-as-Code (IaC)Database IntegrationsPostgreSQLMongoDBMySQLSQLBigQueryBusiness Intelligence (BI)Embedded AnalyticsCloud Platforms - AWSCloud Platforms - GCPCloud Platforms - AzureCloud Cost AdministrationFinOpsLinux SystemsNetworkingDistributed ArchitecturesDebuggingLookerData ModelingETL DesignScripting - PythonVersion Control - GitCustomer EngagementConsultative InteractionPythonAIETLAnalyticsBIAWSAzureGCPGoogle CloudCloudWatchAzure MonitorGitVersion ControlCRMJiraConfluenceCI/CDBudgetingCommunication
About this role
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal. They are seeking a Senior Customer Engineer with hands-on experience in CI/CD systems and Infrastructure-as-Code to resolve complex customer issues and provide advanced technical guidance.
Responsibilities:
- Own end-to-end resolution of complex customer issues across the CI/CD stack — pipelines, deployments, runners, artifacts, integrations, and more
- Troubleshoot and debug infrastructure automation (Auto-stopping, Recommendations, and execution and metrics data) from sources such as Cloudwatch, Google Cloud Operations/Stackdriver, and Azure Monitor
- Experience with cloud platforms (AWS, GCP, Azure), especially in automation and cloud cost administration, and a deep understanding of FinOps methodologies
- Serve as a CI/CD subject matter expert to enterprise customers during onboarding, implementation, and expansion across Harness modules
- Lead incident triage and root cause analysis during escalations, coordinating cross-functionally and providing detailed feedback to engineering
- Provide advanced technical guidance on database integrations (PostgreSQL, MongoDB, MySQL, etc.), secrets management, and service-to-service communication
- Work with BI and Looker-related data modules within Harness (SEI, CCM, Dashboards, and Metrics) and provide scaling, performance, and best practices for embedded analytics
- Troubleshoot and debug SQL transformations and Looker/Big Query data streams
- Develop and share reusable best-practice templates, “blueprints,” and playbooks for in-product dashboards and KPIs
- Act as a senior escalation point for the Customer Engineering team and mentor junior engineers in best practices and tooling
- Maintain detailed internal and external documentation, including implementation runbooks, troubleshooting guides, and customer playbooks
Requirements:
- 5–7 years of experience in a customer-facing engineering role, DevOps, or SRE with increasing scope and complexity
- Experience with cloud platforms (AWS, GCP, Azure), especially in automation and cloud cost administration
- Proficient in Linux systems, networking, and distributed architectures; strong debugging instincts and curiosity
- 2–5 years of hands-on experience with SQL and/or Big Query with a strong grasp of BI principles and embedded analytics
- Strong SQL skills with experience in data modeling, ETL design, and working across relational databases (PostgreSQL, MySQL, etc.)
- Hands-on experience with FinOps principles, including showback/chargeback, budgeting, and forecasting
- Strong communicator with the ability to explain technical concepts to non-technical stakeholders and drive customer engagement
- Comfortable leading customer calls, trainings, and escalations in a professional, consultative manner
- FinOps certification (e.g., FOCP) is a plus
- Looker experience is a plus (LookML, dashboard design, performance tuning)
- Nice-to-have: scripting in Python for data manipulation, and version control (Git)
- Experience working with CRM/support tooling like Zendesk, Jira, and Confluence
- Tenacious, detail-oriented, and customer-obsessed — you don't give up until the issue is solved 100%