QU
QualysTechnical Implementation Engineer
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Before you apply
LocationPune
Work modehybrid
Typefull-time
SeniorityMid
Experience3+ yrs
Company size1,001–5,000 people
PostedOct 5, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Minimum 3 years of working experience
Programming proficiency (Python strongly preferred)
Solid REST API experience (auth flows, pagination, rate limits, webhook handling)
Comfortable with CSV/structured data manipulation and data validation at scale
Working knowledge of at least one ticketing/ITSM platform integration (ServiceNow, Jira, Remedy)
Experience or strong aptitude with AI agent tooling (e.g., building/using agents for workflow automation)
Strong verbal communication — able to run technical discussions directly with customer engineering/network teams
Prior exposure to Qualys VMDR/ETM, or a comparable VM platform (Tenable, Rapid7, Qualys competitors)
Experience with SOAR platforms or security automation
Familiarity with cloud platform APIs (AWS/Azure/GCP) for asset ingestion
Basic understanding of vulnerability management workflows
Skills
Python
REST API
CSV
Qualys APIs
ServiceNow
Jira
Tenable
Rapid7
Defender
SIEM
SOAR
AI agents
GPT
Claude
RAG
MCP
RPA
AWS
Azure
GCP
About the company
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Technical Implementation Engineer — Customer Solutions & Integrations
Role summary: Sits between Technical Implementation and Engineering — owns technical onboarding, data ingestion, and custom integration work for customers on the platform (ETM/VMDR context), with enough coding and AI-tooling fluency to automate repetitive implementation work rather than doing it manually each time.
Note - Relocation to Pune is required for this role, Role may involve Night shifts. We work 3 days from Office in a week.
Responsibilities
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Core Responsibilities
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Data ingestion & onboarding: Build and validate CSV/bulk data ingestion pipelines into ETM (asset data, business context, criticality tags, third-party vulnerability feeds)
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API-based integrations: Build custom solutions using Qualys APIs and third-party APIs (ServiceNow, Jira, Tenable, Rapid7, Defender, SIEM/SOAR platforms, ticketing systems)
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Customer-facing technical work: Join customer calls to scope integration requirements, troubleshoot live issues, and walk technical stakeholders (network/security/IT teams) through implementation steps
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Automation of implementation work itself: Use AI agents/scripting to templatize and speed up recurring implementation tasks (data mapping, connector setup, validation checks) rather than repeating manual work per customer
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Documentation & handoff: Produce clean runbooks/config docs so Support and the customer’s own team can maintain the integration post-go-live
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AI & Agentic Automation - The engineer will be expected to use modern AI tooling as an engineering productivity layer. The role should be capable of evaluating and building workflows where AI/agents can assist with implementation activities such as:
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Understanding customer integration requirements.
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Mapping customer schemas to Qualys schemas.
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Generating transformation logic.
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Creating API integration code.
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Analysing integration errors and logs.
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Generating configuration templates.
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Validating implementation prerequisites.
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Generating customer-specific implementation documentation.
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Performing repetitive implementation checks.
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Building internal agents that execute controlled implementation workflows.
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Experience with tools such as GPT-based agents, Claude-based workflows, RAG, function/tool calling, MCP-style integrations, RPA, or similar automation frameworks is valuable.
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The expectation is not that the engineer is an AI researcher.
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The expectation is that they understand how to apply AI safely and practically to reduce implementation effort and increase implementation consistency.
Requirements
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Required Qualifications:
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Mimimum 3 years of working experience
•
Programming proficiency (Python strongly preferred — scripting, API clients, data transformation)
•
Solid REST API experience (auth flows, pagination, rate limits, webhook handling)
•
Comfortable with CSV/structured data manipulation and data validation at scale
•
Working knowledge of at least one ticketing/ITSM platform integration (ServiceNow, Jira, Remedy)
•
Experience or strong aptitude with AI agent tooling (e.g., building/using agents for workflow automation — could be internal tooling, Claude/GPT-based agents, or RPA-adjacent tools)
•
Strong verbal communication — able to run technical discussions directly with customer engineering/network teams, not just write code
Nice to have
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Preferred Qualifications:
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Prior exposure to Qualys VMDR/ETM, or a comparable VM platform (Tenable, Rapid7, Qualys competitors)
•
Experience with SOAR platforms or security automation
•
Familiarity with cloud platform APIs (AWS/Azure/GCP) for asset ingestion
•
Basic understanding of vulnerability management workflows (so they understand why the data matters, not just how to move it)