Staff Software Engineer, Governance
New
J
JobgetherAI Infrastructure
Based in United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerPythonHadoopJavaKafkaKubernetesGoSparkRESTful APIsScala
Requirements
- 5+ years of experience in backend software development, particularly with distributed computing technologies such as Hadoop, Spark, or Kafka.
- Strong proficiency in programming languages such as Java, Scala, Go, or Python.
- Experience designing and developing APIs, including RESTful APIs, GraphQL, or similar technologies.
- Proven experience building production-grade software systems in scalable environments.
- Strong understanding of cloud technologies, including Docker, Kubernetes, and CI/CD practices.
- Experience improving backend performance, reliability, and scalability.
- Familiarity with service-oriented architecture and designing modular, maintainable services.
- Strong knowledge of system design principles and distributed application architectures.
- Ability to collaborate effectively with product, engineering, and cross-functional teams.
- Strong problem-solving skills and ability to navigate complex technical challenges.
- Comfortable working in a fast-paced environment with evolving priorities.
- Independent, proactive mindset with the ability to be a reliable and collaborative teammate.
Responsibilities
- Design and develop software solutions that enhance governance capabilities and improve user experiences across AI workflows.
- Build scalable backend services and contribute to the evolution of enterprise AI and data science platforms.
- Extend and improve open-source technologies supporting platform functionality.
- Create technical designs, document architectural decisions, and communicate solutions clearly to cross-functional teams.
- Collaborate with product managers and engineering teams to plan, prioritize, and deliver impactful features.
- Participate in code reviews and design discussions to improve engineering quality and technical standards.
- Mentor and support fellow engineers by sharing technical expertise and promoting best practices.
- Develop and optimize distributed systems that support large-scale data science and AI operations.
- Build reliable APIs, integrations, and services that connect different components of the platform.
- Improve system performance, scalability, security, and maintainability in cloud-based environments.
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