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Sig Group Jobs in Virginia (NOW HIRING)

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Sig Group information

What is SIG Group?

A Sig Group, short for 'Special Interest Group,' is a team or community within an organization, industry, or open-source project that focuses on a specific area of interest or expertise. In the context of technology and software development, Sig Groups often collaborate on particular features, standards, or best practices, sharing knowledge and driving innovation. Members typically include professionals or enthusiasts who contribute ideas, code, or research to advance the group's objectives. Participation in a Sig Group can help individuals stay updated on the latest trends and connect with peers in their field.

What types of projects do team members typically work on at SIG Group, and how is project collaboration structured?

At SIG Group, team members are often engaged in multidisciplinary projects that focus on packaging solutions, sustainability initiatives, and process optimization within the food and beverage industry. Collaboration is highly encouraged, with cross-functional teams comprising engineers, project managers, R&D specialists, and supply chain professionals working closely together. Regular meetings, collaborative platforms, and a culture of open communication help ensure that all members contribute effectively and stay aligned on project goals. This structure not only supports innovation but also provides opportunities for professional growth through exposure to different aspects of the business.

What are the key skills and qualifications needed to thrive as a SIG Group (Susquehanna International Group) quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst at SIG Group, you need a strong background in mathematics, statistics, computer science, or a related quantitative field, often supported by advanced degrees. Proficiency in programming languages such as Python, C++, or R, and experience with data analysis tools and financial modeling systems are typically required. Analytical thinking, problem-solving abilities, and effective teamwork set top candidates apart in this fast-paced environment. These skills are vital for developing and implementing trading strategies, interpreting large datasets, and maintaining a competitive edge in financial markets.

What is the difference between Sig Group vs Security Analyst?

AspectSig GroupSecurity Analyst
Required CredentialsIndustry-specific certifications, technical skillsCertifications like CISSP, CISA, or CompTIA Security+
Work EnvironmentCorporate, industrial, or security-focused settingsIT departments, cybersecurity firms, or corporate security teams
Employer & Industry UsageUsed across various sectors including manufacturing, logistics, and security servicesPrimarily in IT, cybersecurity, and technology sectors

While Sig Group often refers to a security or industrial organization involved in physical or operational security, a Security Analyst focuses on cybersecurity, analyzing security threats, and implementing digital security measures. Both roles require technical knowledge, but Sig Group roles tend to be broader in physical security, whereas Security Analysts specialize in digital security within IT environments.

What are popular job titles related to Sig Group jobs in Virginia?

For Sig Group jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Sig Group jobs in Virginia look for?

The top searched job categories for Sig Group jobs in Virginia are:

What cities in Virginia are hiring for Sig Group jobs?

Cities in Virginia with the most Sig Group job openings:

Sig Group jobs near you
Infographic showing various Sig Group job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Cloud/AI Engineer

Strategic Innovation Group LLC

Arlington, VA • On-site

$145K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Strategic Innovation Group (SIG) is seeking a Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and artificial intelligence solutions supporting Federal Aviation Administration (FAA) programs. This role serves as a senior technical leader responsible for modernizing legacy systems, architecting enterprise cloud platforms, developing production-grade AI applications, and implementing Generative AI capabilities including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI solutions. The successful candidate will collaborate closely with government stakeholders, product teams, and engineering staff to deliver innovative, mission-critical technologies that improve operational efficiency, enable data-driven decision-making, and advance the FAA's digital transformation initiatives while meeting stringent security, compliance, and governance requirements.
SIG is a fast growing 8(a) government contractor based in Arlington, Virginia. We offer a broad range of technical expertise and experience in Digital Transformation, Data Management/Data Science, and Systems Modernization. At SIG, our people are our mission. Come join our team! A successful candidate will be offered the following:
Great work/life balance
Eligibility for performance-based participation in cash bonuses
Potential to participate in growth of the company through incentives
Excellent benefits, including health, dental, vision, generous PTO, a 401(k) with match, life insurance, short- and long-term disability, and a health savings account (HSA)
Additionally, this position is expected to be generally remote, with occasional visits to the office and client facilities in the Washington, DC metropolitan area as needed.
ESSENTIAL DUTIES AND RESPONSIBILITIES
The essential functions include, but are not limited to the following:
  • Lead the design, development, deployment, and sustainment of secure, scalable cloud and AI solutions supporting FAA mission objectives.
  • Collaborate with government stakeholders to translate business requirements into innovative, mission-focused technology solutions.
  • Lead the modernization of legacy systems and enterprise platforms through cloud transformation and application modernization initiatives.
  • Establish and promote architecture, engineering, security, and software development best practices across project teams.
  • Provide technical leadership, mentoring, and guidance to engineering teams while supporting Agile project delivery.
  • Ensure solutions meet federal security, governance, compliance, and operational requirements throughout the system lifecycle.
  • Develop and maintain technical documentation, architecture artifacts, and implementation plans to support operations and compliance.
  • Evaluate emerging technologies, resolve complex technical challenges, and recommend improvements that enhance performance, reliability, and mission outcomes.
  • Perform other duties as assigned.

REQUIRED EXPERIENCE/QUALIFICATIONS
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Cloud Engineer experience: 15+ years
  • AI Engineer experience: 1+ years
  • Experience delivering enterprise-scale technology solutions across public-sector and private-sector organizations, including highly ambiguous environments requiring problem discovery, requirements definition, and solution development.
  • Hands-on experience in cloud engineering, cloud-based application development, and full stack software engineering.
  • Proven track record designing, building, deploying, and operating production-grade applications spanning front-end interfaces, backend services, and cloud data platforms.
  • Experience migrating legacy on-premises systems to the cloud and refactoring monolithic legacy codebases into microservices architectures and cloud-native tooling, using Docker, Kubernetes, serverless services, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data pipeline redesign, schema conversion, and validation of data integrity throughout the migration.
  • Strong proficiency in Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, REST APIs, and modern software development frameworks.
  • Expertise implementing CI/CD pipelines, DevOps practices, infrastructure automation (e.g., Terraform, CloudFormation), and platform engineering principles to support scalable cloud delivery.
  • Experience integrating enterprise systems through APIs, event-driven architectures, workflow orchestration platforms, and distributed services.
    Strong understanding of software engineering fundamentals, distributed systems, cloud architecture, and cloud application engineering best practices.
  • Demonstrated ability to architect secure, scalable, and resilient cloud systems with attention to governance, auditability, data protection, and access controls.
  • Hands-on experience developing and deploying Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI systems, semantic search, and vector databases, integrated into cloud-native application architectures.
  • Experience managing the AI application lifecycle within cloud environments, including data ingestion, model integration, deployment, monitoring, observability, and continuous improvement using cloud-native MLOps tooling.
  • Proven ability to collaborate with business stakeholders, product teams, and technical leadership to translate business requirements into scalable technical solutions and AI-enabled products.
  • Experience delivering mission-critical applications in regulated, compliance-sensitive, or enterprise environments.
  • Strong analytical, problem-solving, and systems-thinking skills with the ability to identify operational challenges and develop technology solutions that deliver measurable business value.

PREFERRED EXPERIENCE/QUALIFICATIONS
  • Prior experience in federal contracting or highly regulated enterprise environments.
  • Active FAA clearance

SPECIAL REQUIREMENTS/SECURITY CLEARANCE
Must have ability to obtain a Public Trust clearance

Apply