Senior Software Engineer, AI
New
S
SynackCybersecurity
Remote in the USFull-TimeSenior
Salary145,000 - 250,000 USD per year
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Job Details
- Experience
- 7+ years
- Required Skills
- DockerPythonGCPKubernetesGogRPCRESTful APIsMicroservicesDistributed Systems
Requirements
- 7+ years of experience in distributed-systems and backend software engineering.
- Experience with AI technologies, e.g. LLMs, RAG, MCP, etc.
- Excellent grasp of token usage optimization and LLM cost optimization techniques.
- Expert knowledge of golang (4+ years) and solid hands-on experience with Python.
- Strong experience and understanding of microservices, REST API design, gRPC, writing unit testing, BDD testing.
- Strong design skills required – UML is a bonus; exposure to Domain Driven Design desirable.
- Experience with asynchronous messaging technologies such as Google PubSub, Kafka.
- In depth knowledge of NoSQL and RDBMS technologies.
- Strong experience with Docker, Kubernetes, Cloud Environments (GCP preferred).
- Experience working on agile teams.
- Excellent communication and collaboration skills in all mediums.
- Experience working on and scaling a microservice-based application.
- A proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts.
Responsibilities
- Design, implement and deliver scalable AI-centric software systems.
- Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat intelligence.
- Own and drive the end-to-end development of product features from ideation to production deployment and monitoring.
- Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes.
- Lead technical discussions, code reviews and design sessions, sharing your expertise to uplift the team's capabilities.
- Provide mentorship and support to junior engineers, encouraging professional growth and development.
- Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.
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