About the role
In this role, you will:
- Respond to, triage, and resolve L2/L3 production incidents impacting Salesforce Service Cloud while meeting established SLAs.
- Troubleshoot and resolve issues across Apex, Flows, Lightning Web Components (LWC), Aura components, and integrations using Salesforce debugging and monitoring tools.
- Proactively monitor production health, performance, governor limits, integration queues, and batch processes to identify and mitigate potential risks.
- Conduct root cause analysis for recurring incidents and implement permanent corrective actions to improve platform reliability and reduce ticket volume.
- Support Service Cloud configuration, customization, user administration, data management, release activities, and change management processes.
Work model: Remote
What you need to have to be considered
- 5+ years of hands-on Salesforce experience with strong production support expertise in Salesforce Service Cloud.
- Proven experience managing and resolving L2/L3 production incidents within defined SLAs.
- Strong debugging and troubleshooting skills across Apex classes, triggers, batch jobs, asynchronous processing, Flows, Lightning Web Components (LWC), and Aura components.
- Hands-on experience supporting Salesforce integrations including REST/SOAP APIs, middleware platforms, and external system callouts.
- Experience monitoring production environments, analyzing debug logs, investigating governor limit issues, and resolving batch job failures.
- Salesforce Administrator Certification.
- Salesforce Platform Developer I (PD1) Certification.
- Experience supporting Service Cloud functionality including case management, assignment rules, escalation rules, queues, page layouts, and permission sets.
- Hands-on knowledge of user administration, profiles, roles, permission sets, data management, reporting, and data quality activities.
- Experience participating in Salesforce release management, deployments, and change management processes.
These will help you stand out
- Advanced expertise in Salesforce Service Cloud production operations and platform optimization.
- Strong root cause analysis skills with a focus on preventing recurring incidents and improving platform reliability.
- Experience working closely with business stakeholders, developers, and end-user communities in enterprise environments.
- Exposure to large-scale, highly integrated Salesforce ecosystems with complex support requirements.
- Strong communication, collaboration, and customer-focused problem-solving skills.
- Knowledge of proactive monitoring, performance tuning, and continuous service improvement practices.
Salary and Other Compensation
- Medical/Dental/Vision/Life Insurance
- Paid Holidays plus Paid Time Off
- 401(k) Plan and Contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.










