Full-Time

Senior SRE Specialist

Qualitest

Qualitest

5,001-10,000 employees

AI-powered software testing and quality engineering

No salary listed

Bengaluru, Karnataka, India

In Person

Category
DevOps & Infrastructure (1)
Required Skills
Microsoft Azure
Infrastructure as Code (IaC)
Terraform
Observability
DevOps

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Requirements
  • Strong SRE or platform engineering background with direct ownership of production systems
  • Deep incident management experience, including severity classification, incident command, and postmortem rigor
  • Practical observability expertise across logs, metrics, traces, dashboards, alerting, and service health reporting
  • Ability to build or influence automation for detection, triage, remediation, and follow-up tasks
  • Experience shaping on-call practices, escalation paths, and team readiness
  • Comfort operating across application services, integrations, asynchronous processing, and release workflows
  • Clear communication skills for translating technical risk into operational and executive language
  • Ability to coach engineers and raise the maturity of a team without creating unnecessary process overhead
  • Microsoft Azure operations and governance
  • Azure Monitor, Application Insights, and Log Analytics
  • Azure Service Bus, Event Grid, Event Hub, and timer-driven/background processing patterns
  • Azure Functions, App Service, and other cloud-hosted application runtimes
  • Key Vault, Storage, and identity-aware service configuration
  • CI/CD pipelines and safe deployment practices, including release validation and rollback readiness
  • Infrastructure-as-code tooling such as Bicep or Terraform, where used by the team
  • Kusto Query Language and operational reporting from telemetry data
  • Use agents or automation to assist with analysis, incident summarization, runbook execution, and follow-up work
  • Treat automation as a reliability control, not a novelty layer
  • Apply safety checks, approvals, logging, and rollback paths before any automated remediation is allowed to act on production systems
  • Continuously improve detection and remediation based on real incident patterns and post-incident learning
  • Partner with engineering leaders to improve reliability without slowing delivery unnecessarily
  • Lead cross-team incident coordination when production issues span multiple systems
  • Establish practical standards for uptime, alert quality, runbook quality, and operational readiness
  • Help build a culture where reliability is owned by every team, not delegated to a single hero
Responsibilities
  • Define the reliability strategy for the NewLeaf platform and keep it aligned with business priorities
  • Own incident detection, triage, escalation, communication, and post-incident follow-through
  • Build operational dashboards that show service health, user impact, and reliability trends
  • Design self-healing and auto-remediation workflows for recurring failure modes
  • Create and maintain runbooks, playbooks, and a living reliability rulebook
  • Design and support a sustainable on-call rotation model for engineering teams
  • Drive root-cause analysis and convert recurring issues into permanent fixes or automation
  • Partner with application, integration, and platform teams to reduce operational risk across boundaries
Desired Qualifications
  • Experience introducing self-healing or auto-remediation in production
  • Experience with executive dashboards and operational scorecards
  • Experience in multi-team or multi-product environments with complex dependencies
  • Background in Azure-native environments, distributed systems, and event-driven architectures
  • Familiarity with AI-assisted operations or agent-based workflows in a safe enterprise setting

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company Size

5,001-10,000

Company Stage

Acquired

Total Funding

$497M

Headquarters

Fairfield, Connecticut

Founded

1997

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Simplify Jobs

Simplify's Take

What believers are saying

  • 43% of enterprises prioritize agentic AI, validating Qualitest's AI-first strategy.
  • Hired 100 Israel employees targeting Wix layoffs to strengthen automation teams.
  • New CEO Andrew Duncan drives global AI-driven testing and operational efficiency.

What critics are saying

  • AI automation may replace 50–70% manual QA roles within 12–18 months.
  • Competitor ACCELQ's platform outpaces Qualisense in speed and cost by 6–12 months.
  • GenAI test bias causes false positives and security gaps within 6–12 months.

What makes Qualitest unique

  • Qualisense AI tool enables risk-based testing and faster market release globally.
  • Exclusive focus on AI-driven testing sets it apart from competitors.
  • Nearly 30 years of expertise in software testing and quality assurance.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

10%

1 year growth

10%

2 year growth

10%
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