Lead Software Architect at STR

Arlington, Virginia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

National Security, Defense, IntelligenceIndustries

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
Even Better
Active Top Secret (TS) security clearance with CI poly
Demonstrated experience with DevSecOps and SAFe Agile
Possession of SAFe Agile certification

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

Skills

Key technologies and capabilities for this role

Software EngineeringSystems DevelopmentMachine LearningDeep LearningStatistical AlgorithmsClassificationAnomaly DetectionForecastingProduction Systems

Questions & Answers

Common questions about this position

What is the work location arrangement for this role?

Applicants should expect to primarily work onsite at a government location (~75% time at the customer site), with the rest at STR’s Arlington, VA office. The role takes advantage of STR’s flexible, hybrid environment, allowing remote work when STR’s facilities are not required.

What education and experience are required for this position?

A BS, MS, or PhD in a related field or equivalent experience is required, specifically BS with 7+ years, MS with 5+ years, or PhD with 2+ years of relevant experience. At least 5+ years of experience is also mentioned.

What does the team at STR’s Intelligence Division focus on?

The team consists of passionate engineers with advanced degrees in engineering, computer science, mathematics, and data science, working on advanced analytics and machine learning solutions for national security challenges across various data modalities.

What are the main responsibilities as Lead Software Architect?

Responsibilities include creating and maintaining infrastructure like data pipelines, architecting capabilities for integrating technologies and workflows, automating processes, optimizing performance, monitoring systems, and performing testing.

What makes a strong candidate for this Lead Software Architect role?

Strong candidates are experienced software engineers passionate about collaborating with high-performance teams, with advanced degrees or equivalent experience (BS 7+ years, MS 5+ years, PhD 2+ years), skilled in systems and software development for operationalizing machine learning algorithms in national security contexts.

STR

AI solutions for national security challenges

About STR

STR develops AI-driven platforms to tackle national security challenges, primarily for government agencies. Their main product, the STR infokit platform, combines data science, AI algorithms, and DevOps practices to deliver real-time insights and decision support. This platform is adaptable for various uses, including command and control systems and object recognition. STR differentiates itself by focusing on creating resilient systems that integrate artificial and human intelligence, providing clients with a significant decision-making advantage. The company's goal is to enhance safety and security through advanced technology while fostering a culture of diversity and creativity among its employees.

Woburn, MassachusettsHeadquarters

2010Year Founded

$54.9MTotal Funding

GRANTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Flexible Work Hours

Risks

Emerging AI defense startups increase competition, threatening STR's market share.

Budget cuts in defense spending may reduce STR's contracts and revenue.

Reliance on government contracts makes STR vulnerable to policy changes.

Differentiation

STR integrates AI with human intelligence for resilient decision-making systems.

The STR infokit platform offers real-time insights for command and control systems.

STR focuses on diverse perspectives to drive innovation in AI solutions.

Upsides

Growing demand for AI-driven cybersecurity solutions boosts STR's market potential.

U.S. Department of Defense invests heavily in collaborative autonomy, benefiting STR.

Increased government funding for AI R&D creates more opportunities for STR.

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