Senior Operations Engineer

Fully remote-first working model within India.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
Data AnalysisSalesforceJiraRESTful APIsConfluenceSaaS

Requirements

  • 5+ years of experience in operations engineering, systems engineering, or customer success/sales operations within a SaaS environment.
  • Strong expertise in Salesforce (SFDC) architecture and experience working with CRMs, ticketing systems, and customer support platforms.
  • Hands-on experience with automation tools and platforms, including workflow orchestration and system integration.
  • Experience working with Intercom, FinAI, or similar AI-powered support and engagement tools.
  • Strong understanding of Atlassian tools such as Jira and Confluence; familiarity with tools like Catalyst or Gemini is a plus.
  • Proven ability to design and map complex business processes and identify operational inefficiencies or system failure points.
  • Strong analytical skills with experience interpreting large datasets to improve customer and operational outcomes.
  • Excellent communication skills with the ability to simplify complex technical concepts for business stakeholders.
  • Strong organizational skills with the ability to manage multiple high-priority initiatives in parallel.
  • Bachelor’s degree in Computer Science, Information Systems, Business Operations, or equivalent practical experience; PMP/CAPM certification is a plus.

Responsibilities

  • Design, build, and optimize scalable operational systems, workflows, and automation frameworks across the Customer Success ecosystem to reduce manual effort and improve efficiency.
  • Develop and maintain integrations between internal tools and customer-facing platforms using APIs, webhooks, and modern automation approaches.
  • Lead strategic automation initiatives, including AI-driven support tools, LLM-based ticket categorization, and intelligent response systems.
  • Build and manage data-driven solutions to track and improve key metrics such as time-to-value (TTV), CSAT, customer health, and churn reduction.
  • Act as a technical escalation point and mentor for operations teams, driving technical excellence and best practices.
  • Translate business requirements into structured technical execution plans, including Jira workflows and sprint planning.
  • Define and enforce operational governance standards, ensuring consistency in documentation, data quality, and execution.
  • Identify and prioritize system bottlenecks and technical debt, leading improvement cycles based on data-driven insights.
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