We’re on a mission to redefine how modern distributed systems are tested and released. Our platform is trusted by engineering teams who demand rock-solid reliability, scalable performance, and deep technical visibility. Our platform doesn’t just assure system correctness and reliability, it exists because developers need something better. If you’ve ever experienced the pain of a production outage, had a bad week on-call, or had a release delayed by weeks because of one killer bug – you’ll understand exactly why we’re doing what we do. If you're passionate about developer-first products, system resilience, and correctness, we’d love to talk.
Our Support Engineers are the first escalation for customer support requests. They are experts of the Antithesis platform, and they have the skills to resolve requests that lack prescribed instructions in our external documentation or internal knowledge base. For requests that exceed their scope, they possess the technical expertise to route them to the correct internal teams. When not handling escalations, they ensure requests are acknowledged, qualified, triaged, and driven to resolution while keeping stakeholders informed.
Handle customer support requests that lack prescribed instructions in our external documentation or internal knowledge base
Determine the proper escalation path for novel issues after performing diagnostics and troubleshooting
Use scripting languages to investigate customer issues
Own customer support requests end-to-end: first response, qualification, triage, escalation management, resolution tracking, and communication
Contribute to the continuous improvement of the knowledge base by identifying gaps and suggesting updates based on request patterns
Respond to automated system alerts, taking steps to raise stakeholder awareness and begin the resolution process
Communicate clearly and professionally with customers’ technical team members
Experience in a technical support, help desk, or customer-facing technical operations role (or equivalent)
Proficiency in Linux environments, containerization/Docker, and bash/shell scripting
Working knowledge of a scripting language (e.g. Javascript, Python)
Strong written communication skills and comfort communicating with customers’ engineers
Eagerness to develop deep product expertise in an innovative and technically sophisticated platform
Willing to work on-site five days a week
Bonus points:
Experience with software testing / quality assurance
Kubernetes
Querying data (via SQL, NoSQL, or other query engines)
Make a measurable impact from day one
Collaborate with a fast-moving team that values autonomy and results
Help shape the growth strategy at a pivotal stage
Access to top-tier tools and leadership support
Get a genuinely revolutionary software product into users’ hands
We are an equal opportunity employer and value a diverse, inclusive workplace. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability, or any other protected characteristic. We are committed to providing reasonable accommodations throughout the application and employment process.
Under no circumstances will Antithesis pay a fee for candidates submitted or presented without a signed recruiting agreement in place between Antithesis and the recruiter or agency prior to submission Any submission must be for a requisition specifically and individually assigned in writing by Antithesis’ People Department.
In the event that candidate(s) are submitted or presented to Antithesis by a recruiter or agency without both a signed agreement and written assignment from Antithesis, Antithesis expressly reserves the right to pursue and hire such candidate(s) without any financial obligation to the recruiter or agency.
Ship confidently and free your engineering team to focus on creating business value. Antithesis enables you to find and eliminate bugs that cause system downtime and difficult-to-fix correctness issues.
Our platform combines AI with advanced testing methodologies to thoroughly explore distributed systems and find the bugs that other tools miss. The platform perfectly reproduces bugs and the conditions that led to them, dramatically reducing the time required to debug systems and enabling engineers to validate fixes with 100% certainty.
Instead of having engineers (or AI) write more test cases, the platform enables property-based testing where you define desired outcomes. Our autonomous AI-powered testing engine explores millions of code paths in parallel and smartly injects the kind of faults your code routinely experiences in hostile production environments. No more testing only the "happy path" and missing the issues that will haunt you in production.
