Senior Software Engineer (Public Sector)

Scale AI; Washington; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Learning stipend

Community events

Parental leave

Job summary

Scale AI in Washington state seeks a Senior Software Engineer to lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.

You will own the full feature lifecycle from requirements definition to deployment on classified networks, and drive AI-enabled workflows with agent orchestration and model serving. Collaborate with stakeholders to translate mission needs into technical requirements and ensure acceptance criteria are met.

Qualifications

• Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
• Own full feature lifecycle from requirements to deployment on classified networks.
• Drive AI/ML platform integration with agent orchestration and model serving.

Responsibilities

• Lead customer engagements to translate mission needs into technical requirements.
• Own communication with stakeholders to ensure acceptance criteria are met.
• Conduct technical reviews and identify risks in ML infrastructure and model serving.
• Drive the platform roadmap with technical specifications for Federal product offerings.

Skills

Leadership

Distributed systems

Backend development

System architecture

Data engineering

Full stack development

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

• As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders
• You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers
• Manage the full lifecycle of feature development from requirement definition to deployment on classified networks
• Direct the orchestration of asynchronous agent fleets to meet mission requirements
• Lead customer engagements to translate mission needs into technical requirements
• Own the communication with stakeholders to ensure implementation meets defined acceptance criteria
• Conduct technical reviews and identify risks within machine learning infrastructure and model serving
• Drive the platform roadmap by providing technical specifications for Federal product offerings

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

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 environmentAdaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineeringAI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficialCloud-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 plusProblem 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 obstaclesData 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 principlesFull Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases