Job Description
Job Description
Company Description
Finance
Job Description
We’re seeking a senior telephony engineer to co-lead design, development, and optimization of our Amazon Connect contact center integrated with Salesforce Service Cloud Voice. You’ll be one of two technical owners for voice architecture, IVR / contact flows, Computer Telephony Integration (CTI), and analytics, and work closely with our data / integration team. This role blends hands-on engineering with solution architecture, security, reliability, and cross-functional leadership.
What We're Looking For
- 5 - 10+ years in telephony / contact center engineering; 3+ years hands-on with Amazon Connect; 2+ years with Salesforce Service Cloud Voice.
- Expertise in :
Amazon Connect : contact flows, routing, queues, CTRs, Contact Lens, outbound, call recording.
Salesforce Voice / Service Cloud : Omni-Channel, voice setup, agent configuration, transcripts, analytics, and integration patterns.AWS services : Lambda (Node.js / Python), API Gateway, EventBridge, Kinesis / KDF, DynamoDB, S3, CloudWatch, IAM, Secrets Manager.Telephony fundamentals : SIP, RTP, PSTN, number management, QoS, jitter / packet loss mitigation.Integrations / APIs : REST / GraphQL, OAuth / SAML / JWT, event-driven architectures.Strong grasp of security, compliance, and data governance.Excellent communication and stakeholder management; ability to translate business needs into resilient technical solutions.Agile / scrum experience.Nice to have
Agentforce ExperienceInfrastructure as Code and CI / CD for contact center infrastructure.IaC / DevOps : CloudFormation / CDK / Terraform, Git, CI / CD, automated testing.
Financial services industry experience (contact center operations).Salesforce certifications (Admin, Platform App Builder, Service Cloud Consultant); AWS Solutions Architect / Developer / DevOps certifications.Exposure to other CCaaS / voice platforms (Genesys Cloud, Five9, Twilio) and voice quality monitoring tools.Real-time analytics / BI (Athena, QuickSight, Snowflake, Databricks) using CTRs / transcripts / contact data.SSO / identity (Okta / Azure AD) and enterprise change / release management.Additional Information
All your information will be kept confidential according to EEO guidelines.