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Form of workJob Description
Protagonist is a women-owned, women-led small business and pioneer in narrative research, analysis, and strategy. We help our clients harness the power of narratives by illuminating the stories that matter to their mission, analyzing the influences and influencers that are driving those narratives, and developing strategies for navigating and shaping those narrative landscapes. Over the past decade, we have developed a line of state-of-the-art narrative products that focus on the deep, enduring stories that define a population's identity, shape their perspectives, and describe their beliefs. Our Narrative Analytics® technology platform is relied on by dozens of the world's leading corporations, government agencies, and nonprofits to identify, quantify, and track narratives in online conversations. We have team members in Washington, DC, San Francisco, Chicago, and many points in between.
You are a self-starter ML and Cloud Infrastructure Engineer with expertise in machine learning, big data analytics, AWS cloud services, and Kubernetes orchestration. Your proficiency extends to building and executing sophisticated data processing systems and analytical solutions. With a forward-thinking approach, you excel in harnessing the full potential of cutting-edge cloud services and ML to propel business intelligence and foster technological innovation.
Primary ResponsibilitiesSupport the development of ML and Cloud technology that powers our Narrative Analytics® offering. This includes web application development, performing AWS maintenance, writing Python scripts, and coding new tools, and machine learning algorithms to refine data analysis processes. Specific responsibilities include:
- Work in sprints to create, design, and develop modules in coordination with the rest of the Engineering Team.
- Own core deliverables, including technical design, logical and physical design of the solution, coding, testing, and debugging.
- Work closely with data scientists and analysts to transform data science prototypes into scalable and efficient production-quality solutions.
- Design and implement data architectures on AWS, using best practices for security, scalability, and efficiency.
- Maintain system reliability and uptime of production applications by measuring and monitoring availability, latency, and overall system health.
- Take initiative in solving complex technical problems and recommend original solutions and design approaches to meet requirements, making decisions between competing solutions.
- Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) for deploying and managing applications in the cloud.
Requirements
- Must be able to work on US Government contracts that may prohibit or restrict the use of foreign nationals.
- Must be eligible to obtain a US Government security clearance.
- BS or MS in Computer Science, Engineering, or a related field.
- Experience working on a production product with a collaborative team.
- Experience with Postgres (or similar) SQL database programming.
- Experience working with Agile scrum or Kanban methodology to deliver high-quality, high value software
- Strong experience with AWS cloud services; AWS Certified Solutions Architect or Developer is preferred.
- Expertise in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in big data technologies (e.g., Hadoop, Spark).
- Solid experience with Kubernetes and container orchestration.
- Knowledge of front-end development languages such as Reactis
Position Pay Band
$80,000 - $160,000 based on education and level of relevant experience.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Protagonist is a values-driven company that is committed to doing meaningful work for organizations we respect. We are deeply committed to centering racial and gender justice in the work we produce, in our engagement with clients, and in our internal operations. We believe in the promise of democratic governance and the responsibility of civic participation, and are building a culture that supports these commitments.
