Senior Software Engineer, Public Sector

Навыки

• AWS
• Azure
• Коммуникация
• Data Governance
• Docker
• ETL / ELT
• Google Cloud

О компании и продукте

• At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
• We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
• We comply with the United States Department of Labor's Pay Transparency provision .

Задачи

• 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
• Ideally you will have
• Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Understanding of data modeling, data warehousing, and data governance principles
• AI 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 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 defining and evolving project requirements
• Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
• Please reference the job posting's subtitle for where this position will be located
• For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is

Требования

• 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
• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, 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
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources

Условия

• Compensation packages at Scale for eligible roles 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 and may be inclusive of several career levels at Scale
• 216,000 — $311,000 USD

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