Performance Engineering Manager Jobs in Massachusetts

PositionOverview

We are seeking a forward-thinking Senior Test Manager to lead our performance testing and quality engineering strategy across Salesforce, MuleSoft, APIs, and integrated enterprise platforms. This role requires deepexpertisein performance engineering, load and scalability testing,API andintegration validation, and AI-augmented test practices. The ideal candidate will help modernize quality through continuous performance testing, observability-driven insights, intelligent test design, and strong partnership with Engineering, Product, DevOps, and Architecture teams to ensure resilient, scalable, and business-critical releases.

Key Responsibilities

Performance Engineering Strategy

• Define and execute an enterprise performance testing strategy covering Salesforce, MuleSoft, APIs, and integrated platforms, with clear non-functional requirements, SLAs, and release performance gates.

• Lead continuous performance engineering practices including load, stress, endurance, spike, and scalability testing across business-critical journeys.

• Champion AI-enabled quality practices such as intelligent test design, anomaly detection, performance trend analysis, and AI-assisted failure summarization with human review.

• Partner with Architecture, Product, Engineering, and DevOps todesign fortestability, resiliency, observability, and proactive performance risk management.

• Define, baseline, and govern service-levelobjectives(SLOs) and performance thresholds for critical user journeys and integrations, and ensure they are measurable,monitored, and enforced through release criteria.

People Leadership & Capability Building

• Lead and mentor a high-performing team of performance, API, and quality engineers across multiple geographies and delivery partners.

• Drive upskilling inJmeter, K6, LoadRunner, API performance testing, Salesforce and MuleSoft validation, observability tooling, and AI-assisted engineering practices.

• Build a culture of engineering excellence, accountability, experimentation, and continuous learning across performance and integration testing disciplines.

• Promote reusable assets, standard frameworks, and playbooks for enterprise-scale non-functional andintegrationquality assurance.

Performance, API & Tooling Leadership

• Own the performance tooling strategy using JMeter as a core platform, complemented by API testing and automation tools such as Postman,RestAssured, Playwright, and CI/CD-integrated frameworks.

• Establish robust performance test coverage for APIs, MuleSoft integrations, Salesforce-connected transactions, and end-to-end cross-platform business flows.

• Integrate performance and API test suites into delivery pipelines to enable continuous validation, early bottleneck detection, and release gating.

• Leverage AI-enabled tooling for script acceleration, anomaly detection, root-cause investigation, test data support, and performance result summarization.

Execution, Analysis & Release Readiness

• Lead planning and execution of load, stress, spike, endurance, failover, and scalability tests for customer-facing and system-to-system workflows.

• Validate API behavior, throughput, latency, and resiliency across Salesforce, MuleSoft, and downstream platform integrations.

• Analyze results using application and infrastructure telemetry,identifybottlenecks, correlate failure patterns, and drive remediation with engineering teams.

• Provide clear performance risk assessments, release recommendations, and executive-ready summaries aligned to non-functional requirements and business impact.
  

Stakeholder Communication & Governance

• Deliver concise executive readouts on performance health, scalability risks,releasereadiness, and remediation priorities.

• Facilitate governance across QA, Engineering, DevOps, Architecture, and product teams to ensure non-functional requirements are measurable and enforced.

• Translate technical findings into business impact, helping stakeholders make informed decisions on release timing, capacity, and platform readiness.
  

Qualifications

• 10+ years in software testing and quality engineering, including strong leadership experience managing enterprise QA or performance engineering teams.

• Must have deep experience in Salesforce testing across complex enterprise implementations and integrated business processes.

• Strong hands-on experience in performance and load testing using JMeter, including test design for APIs, integrations, scalability, endurance, and peak-load validation.

• Provenexpertisein MuleSoft, API testing, and validation of integrations with external enterprise platforms and downstream systems.

• Experience embedding performance and API validation into CI/CD pipelines and using telemetry or observability data toidentifybottlenecks and drive resolution.

• Hands-on experience designing andmaintainingperformance testing pipelines in CI/CD environments, including automated execution, threshold-based quality gates, reporting, and trend analysis.

• Strong communicationand executive presence, with the ability to convert technical findings into clear business risk and release recommendations.
  

Preferred Qualifications

• Experience with AI-augmented testing tools or copilots for script generation, anomaly detection, failure triage, and performanceresultsummarization.

• Familiarity with observability and monitoring platforms such as Dynatrace, Splunk, Datadog, AppDynamics, Grafana, or similar tools for root-cause analysis.

• Experience with API-first quality practices such as contract testing, service virtualization, and shift-left validation in distributed architectures.

• Background in regulated or high-availability enterprise environments where scalability, reliability, and auditability are critical.

• Certifications or advanced knowledge in performance testing, Salesforce, MuleSoft, cloud platforms, or modern quality engineering practices.
  

Tools & Environment

Salesforce (Sales/Service Cloud), MuleSoft, JMeter,K6, LoadRunner, Karate,Postman,RestAssured, Playwright, CI/CD tools (Jenkins, Copado, Azure DevOps), observability platforms (Dynatrace, Splunk, Datadog, Grafana, AppDynamics), API and telemetry analysis tools, and AI-enabled QA assistants.