Senior Software Architect

Senior Software Architect

About the Team

STR’s Analytics division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe.

The Role

As a Senior Architect, you will leverage your skills in systems and software development to operationalize advanced statistical machine learning algorithms and support production-level systems. You will work closely with other software engineers and researchers to design cutting-edge solutions to challenging problems impacting national security including classification, anomaly detection, forecasting, and much more. You will also interact with customers to understand requirements and use cases and apply feedback to respond to their most critical problems.

Positions are available in both Woburn, MA and Arlington, VA. Due to the nature of our work, applicants should expect to primarily work onsite.

What You Would Do:

• Lead a team in creating and maintaining system infrastructure, including data pipeline architecture, algorithm execution, storage, distribution and access
• Determine the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Architect and implement capabilities for integrating component technologies and orchestrating overall workflows
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer requests
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Monitor data for changes that could significantly impact system performance
• Develop and execute plans to mitigate issues and maximize system uptime, and perform testing to ensure system function and performance

Who You Are:

• Motivated collaborator who is looking for the opportunity to work with a team of high-end researchers and engineers to develop and deploy novel machine learning solutions for real mission impact
• Experience supporting and working within a large, cross-functional, distributed team
• Experience in leading and directing development initiatives from inception to functional prototypes to production-level systems
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Demonstrated experience integrating component technologies and orchestrating component workflows
• Experience with software delivery and containerization: e.g. Docker, Kubernetes
• Proficiency with one or more high-level programming languages, like Python
• Experience with AWS cloud services: e.g EC2, S3, EKS, EMR, RDS, Redshift
• Working knowledge of Linux Operating System and shell scripting
• 7+ years industry experience working with large integrated systems
• Active Security Clearance

Even Better (you should have several of these, but all of them are not required):

• Demonstrated experience with DevOps pipelines
• History of manipulating, processing and extracting value from large disconnected datasets
• Experience with development of APIs (e.g., REST), access control, and auditing
• Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience developing build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience using the following software/tools:
• Big D