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Siarkan projek anda secara percuma dan berhubung dengan Software Performance Testing Experts berkemahiran yang sedia membantu hari ini. Bandingkan bidaan, penilaian dan portfolio, dan hanya bayar apabila anda berpuas hati dengan kerja yang diterima.
~30 saat
untuk bida pertama
60+
bida setiap projek
22+
Software Performance Testing Experts dalam talian
Tiada kos pendahuluan · bayar hanya apabila anda berpuas hati dengan hasil kerja

9.7
9.7
100%

NAGPUR, India
$50 USD sejam

7.3
7.3
100%

YAMUNANAGAR, India
$12 USD sejam

6.9
6.9
95%

ratlam, India
$9 USD sejam

6.2
6.2
97%

dewas, India
$15 USD sejam

8.3
8.3
94%

indore, India
$15 USD sejam

9.0
9.0
97%

lahore, Pakistan
$50 USD sejam

8.5
8.5
94%

BIKANER, India
$15 USD sejam

8.3
8.3
100%

Indore, India
$25 USD sejam

7.0
7.0
96%

MUMBAI, India
$15 USD sejam
Sedang mencari Software Performance Testing Expert untuk diupah? Ini ialah projek Software Performance Testing bertaraf tinggi yang baru-baru ini disiapkan di Freelancer, dipilih berdasarkan ulasan pelanggan yang disahkan dengan penilaian 4.5 bintang dan ke atas, serta dikemas kini setiap bulan.
PROJEK
Manual testing of a customer survey app covered every screen and function across Chrome, Firefox, and mobile, logging errors by severity for three user roles. The freelancer delivered a complete, organized report on time, earning a 5.0 rating across 7 reviews.
ULASAN KLIEN
The freelancer did a good job and was able to deliver the correct result on time
Testing / QA · Software Testing · Website Testing
PROJEK
Manual VAPT was conducted on a production web application, covering authentication, injection, XSS, CSRF, API security, and business logic flaws following OWASP methodology. A detailed report with severity ratings, proof of concept, and remediation guidance was delivered alongside a post-fix retest.
ULASAN KLIEN
The freelancer was able to complete the task as required. They did an excellent job
Testing / QA · Software Testing · Website Testing
PROJEK
Manual software performance testing was carried out across every screen and user role of a customer survey app, covering Chrome, Firefox, and mobile browsers. Bugs were logged by severity in a structured Excel report, with the work completed on time as confirmed by the client.
ULASAN KLIEN
[redacted] was able to deliver the correct output, and they completed the work on time and as described. I would recommend them to other clients on freelancer.com
Testing / QA · Software Testing · Website Testing
Software performance testing is the engineering practice of measuring how an application behaves under load, stress, and scale to verify it meets speed, stability, and capacity requirements before release. A software performance testing expert designs test scenarios, executes load simulations, profiles bottlenecks, and reports actionable findings that protect revenue, user experience, and infrastructure budgets. Hiring a freelance performance testing specialist gives you access to deep tooling expertise without the overhead of a full-time QA team.
A performance testing engineer turns vague concerns like "the app feels slow" into measurable, reproducible evidence. They build scripts that mimic real user traffic, run them against staging or production-like environments, and isolate the layer responsible for latency, errors, or memory leaks. The output is a test suite you can re-run on every release plus a remediation report your developers can act on immediately.
Typical engagements cover load testing, stress testing, spike testing, soak (endurance) testing, scalability testing, and volume testing. The freelancer correlates application metrics with infrastructure telemetry to pinpoint whether the constraint sits in code, database queries, network, caching layers, or autoscaling configuration. This work directly reduces downtime risk, supports capacity planning, and validates SLA commitments before customers ever notice a problem.
Tool fluency is one of the strongest signals of seniority. Look for hands-on experience with load generation tools such as Apache JMeter, Gatling, k6, Locust, Tsung, and Micro Focus LoadRunner. For observability, strong candidates use Prometheus, Grafana, the ELK stack, Datadog, New Relic, or Dynatrace to correlate response times with CPU, memory, GC activity, and database load.
Cloud-native engagements often require knowledge of Kubernetes resource limits, horizontal pod autoscaling, service meshes like Istio, and managed load testing services such as AWS Distributed Load Testing or Azure Load Testing. For protocol-level work, expect familiarity with HTTP/2, HTTP/3, MQTT, AMQP, and SQL/NoSQL drivers across PostgreSQL, MySQL, MongoDB, Redis, and Cassandra.
Performance testing matters most where latency, throughput, or downtime directly affects revenue or safety. Common industries include e-commerce platforms preparing for Black Friday traffic, fintech and trading systems with strict latency budgets, SaaS providers validating multi-tenant scalability, online gaming and streaming services, healthcare platforms handling clinical workloads, and logistics or telecom systems with high event throughput.
Typical project triggers include a planned product launch, migration to microservices or Kubernetes, a recent production incident, onboarding of a large enterprise customer, or contractual SLA validation requested during procurement.
Strong freelancers combine scripting ability with systems thinking. Their portfolio should show concrete workload models, before-and-after metrics, and reports that translate raw numbers into business impact. Look for ISTQB Advanced Level Performance Testing certification, cloud certifications (AWS, Azure, GCP), and experience across at least two major load testing tools.
Useful interview questions you can copy and use:
Strong answers reference percentile-based SLAs (p95, p99) rather than averages, distinguish between client-side and server-side bottlenecks, and show comfort reading thread dumps, garbage collection logs, and database execution plans.
Performance testing overlaps with several disciplines you may want covered in the same engagement: test automation, site reliability engineering (SRE), DevOps and CI/CD pipeline design, chaos engineering, security testing, database administration, and cloud architecture. Many freelancers on Freelancer.com offer combined QA automation and performance engineering services, which is efficient for smaller teams.
Freelancer.com gives you access to a global pool of performance engineers across every major tool, stack, and time zone. You can compare bids from JMeter specialists, k6 scripters, LoadRunner veterans, and full-stack SREs side by side, review verified portfolios, and read client feedback from previous performance engagements. Whether you need a one-week pre-launch load test or an ongoing performance regression suite, you can post a project on Freelancer.com and receive proposals within hours. Clients set their own budgets and let qualified freelancers on Freelancer.com bid competitively, which keeps cost aligned with scope.
Ready to validate that your application can handle real-world traffic?
Hiring the right performance engineer comes down to writing a brief that exposes the technical reality of your system, then reading bids carefully for diagnostic thinking rather than tool name-dropping. The steps below walk you through posting your project, evaluating proposals, and awarding the work with confidence.
The quality of bids you receive is directly proportional to the specificity of your brief. Performance testing engagements depend on stack details, traffic expectations, and acceptance criteria — vague briefs attract generic proposals, while detailed briefs attract engineers who can already see the shape of the work. Head to the
Bids on performance testing projects are mini-proposals, not just quotes. A strong proposal shows that the freelancer has read your brief, understood your stack, and already has a hypothesis about how they would approach the workload model and tooling. Use Freelancer.com's chat to ask clarifying questions before shortlisting.
The final decision should balance proposal quality with profile evidence. For performance testing, look for consistency across multiple past projects — anyone can deliver one good load test, but you want someone who has done it repeatedly across different stacks. Review portfolios for the kinds of reports, dashboards, and root-cause analyses that match what you need.
A focused load test against a defined set of endpoints typically takes one to three weeks, covering scripting, baseline runs, tuning iterations, and reporting. Larger programs that include CI/CD integration, multiple environments, and capacity modeling often run four to eight weeks. The single biggest variable is environment readiness — test data and a production-like staging environment usually determine the timeline more than the testing itself.
Performance testing is the umbrella discipline that measures responsiveness, stability, and scalability under various conditions. Load testing is one type of performance test that specifically validates behavior under expected production load. Stress, spike, soak, and scalability tests are other branches of the same discipline, each answering a different question about how the system holds up.
Yes, this is one of the most common engagement patterns. A freelancer can script your critical user journeys, run baseline and target-load tests, identify bottlenecks, and hand over the scripts so your team can re-run them later. Many clients start with a one-off project and re-engage the same freelancer before subsequent releases.
For a defined scope — a specific API, web app, or release milestone — an experienced freelancer is usually faster and more cost-effective than an agency. Agencies make more sense when you need a multi-discipline QA program covering functional, security, accessibility, and performance testing simultaneously across many products. You can also assemble a small team of specialists on Freelancer.com if your scope grows.
Expect to provide access to a test environment, sample test data, target performance criteria (response time, throughput, error rate, concurrent users), a list of critical user journeys or API endpoints, and any existing APM dashboards. The more representative the test environment is of production, the more reliable the findings will be.

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