Job Title
Software Engineer
Location
In-office or Remote (strong preference for overlap with Pacific Time).
Employment Type
Full-time employee.
Responsibilities
Independently own the end-to-end design, implementation and maintenance of one or more platform components (e.g. task orchestration, agent runtime, data pipelines)
Collaborate with product managers, designers and engineering leads to translate requirements into clear technical objectives and delivery timelines
Architect and build scalable, fault-tolerant APIs and services using best practices in performance, security and observability
Integrate your components with front-end UIs, data stores, message queues and third-party services
Develop and enforce automated testing (unit, integration, load) and continuous-integration/continuous-deployment (CI/CD) pipelines
Conduct design and code reviews, mentor junior engineers, and drive adoption of coding standards and shared libraries
Troubleshoot production issues, perform root-cause analyses and implement robust monitoring, alerting and self-healing patterns
Qualifications
3+ years of professional full-stack development, with demonstrated ownership of mission-critical services
Expert in at least one backend language (Python, Go, Java, etc.) and strong proficiency in JavaScript/TypeScript for front-end or serverless components
Familiarity with cloud platforms (AWS, GCP or Azure) and managed data stores (Postgres, Redis, S3, etc.)
Deep appreciation for CI/CD, test-driven development and observability (logging, metrics, distributed tracing)
Exceptional problem-solving skills, a bias for action and clear, proactive communication across teams
Passion for AI-driven automation and eagerness to help Tiny Fish push the boundaries of what web agents can do
Skills Required
- 3+ years of professional full-stack development experience with ownership of mission-critical services
- Expertise in at least one backend language such as Python, Go, or Java
- Strong proficiency in JavaScript or TypeScript for front-end or serverless components
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Familiarity with managed data stores such as Postgres, Redis, or S3
- Knowledge of CI/CD, test-driven development, and observability practices
- Exceptional problem-solving skills, bias for action, and clear proactive communication
- Passion for AI-driven automation and web agents
What We Do
The Enterprise Web Agent company. Our AI agents run complex business workflows at web scale millions of times to deliver measurable outcomes.
