We are on the lookout for a seasoned
senior l2 support engineer
who has built a solid track record in maintaining and supporting web applications. The successful professional will demonstrate advanced debugging capabilities, hands-on familiarity with observability platforms and apis, plus the autonomy to drive support cases from intake to closure. Strong stakeholder communication, a sense of accountability and enthusiasm for evolving workflows through automation and ai are key to thriving in this position.
track system notifications and react accordingly through platforms like pagerduty and uptrends diagnose and remediate web application defects, covering browser-side and api-related failures examine log files, response codes and browser console data to pinpoint underlying causes own the full lifecycle of support cases, from triage through resolution and customer follow-up execute api checks, validations and permission adjustments through postman partner with engineering and product groups to escalate and address intricate technical matters sustain transparent, prompt and professional dialogue with end users and stakeholders lead initiatives that enhance support operations, embracing automation and ai integration coach junior team members and promote knowledge sharing across the support function 3+ years of hands-on work in l2 technical support within web application environments deep troubleshooting capability, covering browser developer tools and status codes (4xx, 5xx) practical exposure to observability and alerting platforms (e.g., pagerduty, uptrends) solid command of postman for api verification, query execution and user administration demonstrated success in owning support tickets through their entire lifecycle outstanding writing and speaking abilities in professional settings sharp analytical reasoning combined with effective problem-solving capacity self-driven attitude paired with the ability to thrive both solo and within team environments english proficiency at b2 level or higher hands-on with test automation stacks (selenium with java, jenkins, github, sauce labs) foundational to mid-level understanding of ai use cases within support or qa processes working knowledge of database technologies and query languages (sql, bigquery) alongside elasticsearch comfort working with product analytics platforms such as mixpanel