Full Stack Engineer - Public Sector
Company: Scale AI, Inc.
Posted on: September 21, 2023
Scale AI is seeking a highly skilled and motivated Full Stack
Engineer to join our dynamic Federal Engineering team. As a part of
this team, you will play a critical role in delivering high-impact
AI-powered mission solutions for government customers. Our scalable
and high-performance platform forms the foundation for these
solutions, and your expertise will be instrumental in designing and
implementing systems that can handle billions of data points with
exceptional performance.You will:
- Design and implement scalable backend systems for Federal
customers, leveraging Scale's modern and cloud-native AI
- Collaborate with cross-functional teams to define and execute
the vision for backend solutions, ensuring they meet the unique
needs of government agencies operating in secure environments.
- Develop distributed systems, data-intensive applications, and
machine learning infrastructure to enable real impact for mission
- Build robust and reliable backend systems that can serve as
standalone products, empowering customers to accelerate their own
- Participate actively in customer engagements, working closely
with stakeholders to understand requirements and deliver innovative
- Contribute to the platform roadmap and product strategy for
Scale AI's Federal business, playing a key role in shaping the
future direction of our offerings.Ideally you'll have:
- An active TS/SCI security clearance. This is a requirement and
candidates will not be considered who do not hold this level of
- Full Stack Development: Proficiency in both front-end and
back-end development, including experience with modern web
development frameworks, programming languages, and databases.
- Cloud-Native Technologies: Familiarity with cloud platforms
(e.g., AWS, Azure, GCP) and experience in developing and deploying
applications in a cloud-native environment. Understanding of
containerization (e.g., Docker) and container orchestration (e.g.,
Kubernetes) is a plus.
- Data Engineering: Knowledge of ETL (Extract, Transform, Load)
processes and experience in building data pipelines to integrate
and process diverse data sources. Understanding of data modeling,
data warehousing, and data governance principles.
- Machine Learning Infrastructure: Familiarity with machine
learning frameworks (e.g., TensorFlow, PyTorch) and experience in
designing and implementing machine learning infrastructure.
Understanding of model serving, monitoring, and deployment
strategies is beneficial.
- Problem Solving: Strong analytical and problem-solving skills
to understand complex challenges and devise effective solutions.
Ability to think critically, identify root causes, and propose
innovative approaches to overcome technical obstacles.
- Collaboration and Communication: Excellent interpersonal and
communication skills to effectively collaborate with
cross-functional teams, stakeholders, and customers. Ability to
clearly articulate technical concepts to non-technical audiences
and foster a collaborative work environment.
- Adaptability and Learning Agility: Willingness to embrace new
technologies, learn new skills, and adapt to evolving project
requirements. Ability to quickly grasp and apply new concepts and
stay up-to-date with emerging trends in software engineering.
The base salary range for this full-time position in our hub
location of Washington, DC is $179,200 - $215,040. Compensation
packages at Scale include base salary, equity, and benefits. The
range displayed on each job posting reflects the minimum and
maximum target for new hire salaries for the position, determined
by work location and additional factors, including job-related
skills, experience, interview performance, and relevant education
or training. Your recruiter can share more about the specific
salary range for your preferred location during the hiring process.
Scale employees are also granted Stock Options that are awarded
upon board of director approval. You'll also receive benefits
including, but not limited to: Comprehensive health, dental and
vision coverage, retirement benefits, a learning and development
stipend, and generous PTO. Additionally, this role may be eligible
for additional benefits such as a commuter stipend. PLEASE NOTE: We
collect, retain and use personal data for our professional business
purposes, including notifying you of job opportunities that may be
of interest. We limit the personal data we collect to that which we
believe is appropriate and necessary to manage applicants' needs,
provide our services, and comply with applicable laws. Any
information we collect in connection with your application will be
treated in accordance with our internal policies and programs
designed to protect personal data.
Keywords: Scale AI, Inc., Washington DC , Full Stack Engineer - Public Sector, Engineering , Washington, DC
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