Overview
Lead the resolution of complex customer and production issues across Bidgely's platform as a senior escalation point, while mentoring support engineers and strengthening the proactive support function.
What you'll do
- Act as the primary escalation point for complex production issues and customer-impacting incidents.
- Take end-to-end ownership of assigned and escalated issues, from initial triage through resolution, communication, RCA, and preventive action.
- Lead internal war rooms, customer calls, and critical issue-resolution meetings, ensuring clear updates, decisions, owners, and next steps.
- Troubleshoot distributed applications, data pipelines, APIs, integrations, message queues, and cloud-hosted services.
- Analyze application logs, system metrics, traces, database behavior, and data flows to isolate faults and validate fixes.
- Investigate and resolve issues involving Kafka, RabbitMQ, Amazon SQS, or similar messaging and queueing systems.
- Maintain strong ticket hygiene and ensure support activity is documented according to agreed SLAs and operational standards.
- Communicate clearly with customers, Customer Success, Delivery, and internal stakeholders during incidents and escalations.
- Partner with Engineering, SRE, Product, QA, and Delivery to resolve defects, reduce repeat incidents, and improve release readiness.
- Provide the support perspective during design reviews, feature planning, release planning, and post-release reviews.
- Identify customer-impacting risks before go-live and help ensure effective transitions of new capabilities to Product Support.
- Represent Product Support with credibility, urgency, and a strong ownership mindset.
- Proactively monitor platform health using tools such as CloudWatch, Grafana, Opsgenie, Datadog, or equivalent platforms.
- Identify recurring issues, alert gaps, false positives, operational bottlenecks, and manual support work.
- Drive improvements in monitoring, alerting, runbooks, knowledge articles, support workflows, and operational controls.
- Automate repetitive support activities using Python, Bash, SQL, or other suitable tools.
- Write high-quality root cause analyses that explain customer impact, timeline, contributing factors, corrective actions, and prevention measures.
- Track corrective actions to completion and verify that fixes have reduced risk or recurrence.
- Mentor Product Support Engineers and help them develop structured troubleshooting and incident management practices.
- Develop and maintain troubleshooting guides, RCA templates, playbooks, onboarding materials, and technical documentation.
- Share product, platform, and incident knowledge through reviews, training sessions, and team forums.
- Contribute to hiring, onboarding, and capability-building initiatives within Product Support.
What you'll need
- 7–10 years of experience in production support, technical support, application support, SRE, DevOps, or related customer-facing technical roles.
- Strong experience troubleshooting SaaS or enterprise applications in production environments.
- Hands-on experience with AWS or GCP and Linux-based systems.
- Strong SQL skills and experience with application log analysis and data investigation.
- Experience with monitoring and incident management tools such as CloudWatch, Grafana, Opsgenie, Datadog, or similar platforms.
- Working knowledge of Kafka, RabbitMQ, Amazon SQS, or equivalent messaging systems.
- Ability to read and write basic automation or diagnostic scripts using Python, Bash, or similar languages.
- Experience with Jira, Zendesk, ServiceNow, or comparable ticketing and workflow tools.
- Strong understanding of incident management, problem management, RCA, SLA management, and change or release practices.
- Demonstrated ability to lead customer escalations and cross-functional technical discussions.
- Excellent written and verbal communication skills, including the ability to explain technical issues to non-technical stakeholders.
- Proven track record of taking ownership, driving closure, and improving support operations.
Nice to have
- Experience supporting B2B SaaS products, data platforms, APIs, or high-volume data-processing systems.
- Experience in the energy, utilities, fintech, healthcare, or another operationally critical domain.
- Familiarity with SRE practices, observability, service-level objectives, and error budgets.
- ITIL certification or practical experience with formal incident and problem management frameworks.
- Experience working with CI/CD, cloud infrastructure, databases, or distributed systems.
- Experience mentoring engineers or acting as a technical lead.
- Exposure to Agile or Scrum delivery environments.
Read the full description and apply on the company’s own careers page.