Lead Software Architect

STR•Arlington, VA

6h•$157,000 - $284,000•Hybrid

About The Position

STR’s Intelligence Division researches, develops, and transitions 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. We are looking for an experienced software engineer who is passionate about collaborating with high-performance teams to solve unique national security challenges with novel technologies. As a Lead Software Engineer, 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 – teammates from both STR and subcontractors – to design cutting-edge solutions to challenging problems impacting national security including classification, anomaly detection, forecasting, and much more. Due to the nature of our work, applicants should expect to primarily work onsite at a government location, e.g., ~75% time at the customer site, and the rest of the time at STR’s Arlington, VA office. The split work location is designed to support strong engagement with our customers, our on-site team members, and STR’s technical and business operations teams in Arlington, VA and Woburn, MA. This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely.

Requirements

BS, MS, PhD in a related field or equivalent experience (BS with 7+ years, MS with 5+ years, or PhD with 2+ years relevant experience)
At least 5+ years’ experience in software development
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
Organized, detail-oriented, and with an ability to work both independently and collaboratively
Experience with a range of software maturity, experience troubleshooting issues and identifying opportunities for improvement
Proficiency with one or more high-level programming languages, like Python
Experience with cloud computing platforms
Experience with software delivery and containerization: e.g. Docker, Kubernetes
Working knowledge of Linux Operating System and shell scripting
Relational SQL and NoSQL databases: e.g. Postgres, Cassandra

Nice To Haves

Active Top Secret (TS) security clearance with CI poly
Demonstrated experience with DevSecOps and SAFe Agile
Possession of SAFe Agile, Security+, other certifications, or willingness to get them
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 optimizing ‘big data’ data stores
Experience developing build processes supporting data transformation, data structures, metadata, dependency and workload management
Expert SQL knowledge and experience working with a variety of databases
Experience using the following software/tools: Big Data tools: e.g. Hadoop, Spark Kafka, ElasticSearch
Data Lakes: e.g. Delta Lake, Apache Hudi, Apache Iceberg
Distributed SQL interfaces: e.g. Apache Hive, Presto/Trino, Spark
Data pipeline and workflow management tools: e.g., Luigi, Airflow
Dashboard frontends: e.g., Grafana, Kibana
Stream-processing systems: e.g., Storm, Spark-Streaming, etc.

Responsibilities

Join an active, distributed team to create and maintain infrastructure, including data pipeline architecture, algorithm execution, storage, distribution, and access
Architect and implement capabilities for integrating component technologies and orchestrating overall workflows
Identify and implement opportunities to automate manual processes, optimize data delivery, system performance and scalability
Monitor for changes to data or environment that could significantly impact system performance to mitigate issues and maximize system uptime
Perform testing to ensure system function and performance

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