Cresta

Cresta

Application Support Engineer

United States (Remote)

Sponsorship not specifiedDetected 12 days ago
PythonBashPowerShellAWSKubernetesGrafanaDatadogAgentic AIJiraProcess ImprovementCustomer SuccessCustomer SupportZendeskVoIPLeadershipCommunicationCollaborationProblem Solving

About the role

  • Schedule: Monday- Friday 8 - 5 with hour lunch w/ a rotating weeking with 3 others.
  • This role is ideal for individuals who enjoy solving complex technical challenges, assisting customers, and serving as a crucial link between our customers and product development.
  • You will be instrumental in ensuring a smooth and successful customer experience by transforming complex issues into clear, actionable solutions.

Responsibilities

  • Customer Advocacy: Serve as the primary technical point of contact for customer inquiries, providing clear, concise, and empathetic communication via email and our support portal.
  • Collaboration & Escalation: Partner closely with Engineering, Product, and Sales teams to escalate bugs, feature requests, and critical incidents, ensuring timely resolution and feedback.
  • Product Expertise: Develop deep product knowledge, understanding architecture, functionality, and common use cases.
  • Process Improvement: Identify recurring issues and contribute to process enhancements that improve the customer support experience and product quality.
  • On-Call Support: Participate in a rotational on-call schedule for urgent issues outside regular business hours.

Requirements

  • 4+ years of experience in a technical support, helpdesk, or customer-facing engineering role.
  • Strong problem-solving and analytical skills, with the ability to deconstruct complex issues.
  • Experience with support ticketing systems (e.g., Zendesk, Linear, JIRA).
  • Ability to work independently and collaboratively in a fast-paced environment.

Nice to have

  • Experience managing or integrating SaaS applications or CCaaS platforms (e.g., Avaya, Five9, Genesys) and telephony infrastructure.
  • Experience with cloud-based hyperscaler solutions (e.g., AWS S3/RDS/EKS for file repositories and databases).
  • Familiarity with Kubernetes for containerized applications.
  • Basic scripting skills (e.g., Python, PowerShell, Bash) for automation or data analysis.
  • Experience with logging and monitoring tools (e.g., Datadog, Grafana, Groundcover).
  • Fluency in additional languages.
  • A degree in Computer Science, Engineering, or a related technical field.

Skills

  • Excellent written and verbal communication skills, capable of translating technical details for both technical and non-technical audiences.
  • Web hosting technologies.

Compensation

  • $90,000-$105,000K base + Bonus + Offers Equity
  • We are hiring for multiple levels for this role so base salary will be determined based on level of experience***
  • Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people.
  • We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

Benefits

  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Monthly wellness and communication stipend to keep you connected and balanced
  • We offer a comprehensive and people-first benefits package to support you at work and in life:
  • Bonus Points If You Have:
  • Remote work setup budget to help you create a productive home office
  • In-office meal program and commuter benefits provided for onsite employees

Company info

  • Knowledge Management: Create and maintain comprehensive documentation, FAQs, and knowledge base articles to empower both customers and internal teams.
  • We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

This listing is sourced directly from Cresta's careers page and normalized into a canonical job model.