Software Engineer III

Job Description

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

,

About Black Eagle Defense

Black Eagle Defense is a Maryland-based small business that provides Information Technology, Cybersecurity, and related Consulting Services to the private and public sectors. Our team is composed of highly trained professionals with a commitment to continued learning, versatility, and adaptability within the ever-evolving technological landscape.

We are proud to be an Equal Employment Opportunity and Affirmative Action employer.