SALARY RANGE $209,000 - $266,000/year
DUTIES As a successful candidate for the Senior Software Engineer role, you should have a strong background in building scalable AI-powered applications and the infrastructure that supports them, with a focus on delivering exceptional user experiences. You will play a crucial role in architecting and developing the systems that power our cutting-edge LLM applications, ensuring they perform reliably at enterprise scale while enabling rapid iteration and deployment.
Required Skills:SKILLS - Lead the design and development of scalable LLM-powered applications and services
- Architect infrastructure solutions that support rapid iteration and deployment of AI features
- Collaborate directly with product teams to translate user needs into technical solutions
- Build and maintain the platforms that enable your team to ship AI features quickly and reliably
- Develop and manage automation tools to improve system reliability and development efficiency
- Implement and maintain monitoring, alerting, and logging systems
- Conduct capacity planning and performance tuning for AI workloads
- Lead and participate in incident response and post-mortem analyses
- Mentor junior team members and contribute to the overall growth of the engineering team
- Continuously identify and implement improvements to our systems and development processes
QUALIFICATIONS Twelve (12) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. A Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Additional requirements:
- 12+ years of experience in software engineering with focus on scalable systems
- Strong full-stack development experience with user-facing applications
- Strong programming skills in languages such as Python, Go, or Java
- Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and their services
- Proficiency in containerization technologies (Docker, Kubernetes)
- Experience with infrastructure-as-code tools (e.g., Terraform, Ansible, Puppet)
- Expertise in monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack)
- Familiarity with CI/CD pipelines and practices
- Strong problem-solving skills and ability to troubleshoot complex systems
- Excellent communication skills and ability to work in a collaborative environment
- Experience building products that prioritize user experience and product-market fit
- Experience interacting with stakeholders to elicit requirements
Desired Skills:NICE-TO-HAVES- Experience working with Large Language Models (LLMs) and related infrastructure
- Experience with AI/ML model serving and optimization
- Background in product-focused engineering environments
- Familiarity with machine learning operations (MLOps) practices
- Experience with A/B testing and feature flagging for AI features
- Contributions to open-source projects
- Experience with distributed systems and microservices architectures
- Knowledge of security best practices and compliance requirements
- Experience with real-time data processing and streaming platforms (e.g., Apache Kafka, Apache Flink)
- Familiarity with chaos engineering principles and tools
