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Sr Applications Engineer Jobs in Reston, VA (NOW HIRING)

Infojini Inc

Senior Applications Developer

Washington, DC · On-site

$108K - $149K/yr

Senior Applications Developer Location: Washington, DC Duration: 6+ months Client: Direct Client Required Skills: * Minimum 7 years of experience in Software Development. * Minimum 5 years of ...

Bowhead

Senior Applications Developer

Arlington, VA · On-site

$109K - $150K/yr

Overview SENIOR APPLICATION DEVELOPER (NAUT): Bowhead seeks a Senior Application Developer to ... Lead the architectural design and development of complex cloud-native applications and systems for ...

Ropes & Gray

Senior Applications Developer

Washington, DC · On-site

$108K - $149K/yr

Overview The Senior Applications Developer is responsible for designing, developing, and maintaining intelligent, AI-enhanced web and database solutions within the Microsoft ecosystem, primarily ...

Bowhead

Senior Applications Developer

Arlington, VA · On-site

$165K - $230K/yr

Overview SENIOR APPLICATION DEVELOPER (NAUT): Bowhead seeks a Senior Application Developer to ... Lead the architectural design and development of complex cloud-native applications and systems for ...

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All JobsSr Applications Engineer JobsSr Applications Engineer Jobs in Reston, VA

Sr Applications Engineer information

See Reston, VA salary details

$72.3K

$134.2K

$190.4K

How much do sr applications engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sr applications engineer in Reston, VA is $134,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $150,300.00 per year, depending on experience, location, and employer.

What does a Sr Applications Engineer do?

A Sr Applications Engineer is responsible for designing, developing, and implementing software or technical solutions tailored to meet client or organizational needs. They work closely with customers, product managers, and development teams to understand requirements and provide technical expertise throughout the product lifecycle. Their duties often include troubleshooting complex issues, optimizing application performance, and mentoring junior engineers. This role requires strong problem-solving skills, technical proficiency, and effective communication to bridge the gap between technical teams and end-users.

What are the key skills and qualifications needed to thrive as a Sr Applications Engineer?

To thrive as a Sr Applications Engineer, you need deep expertise in software development, systems integration, and relevant engineering principles, usually backed by a bachelor's or master's degree in engineering or computer science. Familiarity with programming languages such as Java, Python, or C++, and experience with tools like CAD software, APIs, and cloud platforms are commonly required. Strong problem-solving abilities, effective communication, and project management skills help you collaborate with cross-functional teams and manage complex client requirements. These competencies are crucial for delivering robust technical solutions that meet business objectives and ensure customer satisfaction.

How does a Sr Applications Engineer typically collaborate with cross-functional teams during a product development cycle?

Sr Applications Engineers often serve as a technical bridge between engineering, sales, and customer support teams. They participate in requirements gathering sessions, provide technical expertise during design reviews, and support the integration of products into customer environments. Effective collaboration involves regular meetings with product managers, feedback sessions with customers, and close coordination with R&D to resolve technical challenges quickly. This cross-functional interaction not only ensures the final product meets client needs but also provides opportunities to develop leadership and project management skills.

What is the difference between Sr Applications Engineer vs Applications Engineer?

AspectSr Applications EngineerApplications Engineer
Required CredentialsBachelor's degree in engineering or related field; experience in software/hardware applicationsBachelor's degree in engineering or related field; some experience preferred
Work EnvironmentCustomer sites, technical support, product deploymentDesign, testing, customer support, and product demonstrations
Employer & Industry UsageTech companies, manufacturing, software firmsSimilar industries, often entry to mid-level roles
Search & Comparison IntentUnderstanding senior-level responsibilities and qualificationsEntry to mid-level application support and deployment roles

The main difference between a Sr Applications Engineer and an Applications Engineer lies in experience, responsibilities, and seniority. The senior role typically involves more complex problem-solving, leadership in projects, and a broader scope of customer interaction. Both roles require similar educational backgrounds and industry experience, but the Sr Applications Engineer is expected to handle more advanced technical challenges and mentorship.

What cities near Reston, VA are hiring for Sr Applications Engineer jobs?

Cities near Reston, VA with the most Sr Applications Engineer job openings:

Sr Applications Engineer jobs near you
Infographic showing various Sr Applications Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $134,204 per year, or $64.5 per hour.

Senior Applications Engineer

Electrosoft

Fort Belvoir, VA • On-site

Full-time

Re-posted 2 days ago

Job description

Senior Applications Engineer

Position Summary

We are seeking a highly experienced Senior Applications Engineer to lead the design, development, integration, deployment, and sustainment of advanced Artificial Intelligence (AI), Machine Learning (ML), and predictive analytics solutions supporting the customer. The successful candidate will translate complex business requirements into secure, scalable AI/ML solutions operating within an AWS GovCloud environment and will support mission-critical DoD logistics capabilities.

Key Responsibilities

  • Analyze complex business, system, data, infrastructure, and application requirements and translate them into AI/ML solution designs.
  • Design, develop, test, deploy, and sustain machine learning models, analytics platforms, and supporting application components.
  • Lead development of predictive, prescriptive, and generative AI capabilities supporting logistics, supply chain, security, infrastructure, and operational use cases.
  • Develop reusable software tools, data pipelines, APIs, model components, and application subsystems that support software reuse and domain analysis.
  • Collaborate with Government stakeholders, hosting architects, cybersecurity teams, administrators, and technical SMEs to identify, prioritize, and implement high-value AI/ML use cases.
  • Support AWS GovCloud implementation activities, including development, test, and production environments.
  • Support Agile, DevSecOps, configuration management, release management, and Infrastructure-as-Code practices.
  • Develop and maintain technical documentation including design specifications, solution architecture documentation, requirements traceability matrices, test plans, test results, deployment plans, POA&Ms, and security artifacts.
  • Support system testing, including unit, system, interface, regression, performance, integration, interoperability, negative, security, Section 508, and user acceptance testing.
  • Support cybersecurity compliance activities including RMF, ATO artifacts, Zero Trust controls, CAC/PKI authentication, encryption at rest, vulnerability remediation, and IL-5 cloud hosting requirements.
  • Monitor deployed model and application performance and recommend enhancements to improve accuracy, scalability, resilience, usability, and operational value.
  • Provide technical leadership and mentorship to software developers, analysts, testers, and engineering team members.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, Artificial Intelligence, or another technical discipline.
  • Minimum ten (10) years of relevant technical experience.
  • US Citizenship
  • Experience analyzing complex system requirements and designing software tools, subsystems, or enterprise application components.
  • Experience developing and deploying AI/ML, predictive analytics, or data science solutions in production or mission-oriented environments.
  • Strong software engineering background with Python or other modern programming languages used for production AI/ML development.
  • Experience with data engineering, data pipelines, model development, model testing, and model sustainment.
  • Experience with cloud-native application development, preferably in AWS or AWS GovCloud environments.
  • Experience developing scalable APIs, services, dashboards, or application capabilities supporting operational users.
  • Ability to produce high-quality technical documentation and communicate clearly with technical and non-technical stakeholders.
  • Ability to work in a regulated Federal or DoD environment with strong attention to cybersecurity, privacy, and configuration management.

Preferred Qualifications

  • Experience supporting Department of Defense, Federal Government, or large-scale mission systems.
  • Experience with logistics, supply chain, transportation, financial, geospatial, sensor, or transactional data analytics.
  • Experience with AWS services such as SageMaker, Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and related AI/ML or data services.
  • Experience with MLOps, CI/CD pipelines, Kubernetes, Docker, Terraform, or similar DevSecOps tooling.
  • Experience with Large Language Models, Generative AI, graph neural networks, time-series analytics, anomaly detection, fraud detection, insider threat detection, or recommendation engines.
  • Experience supporting RMF, ATO, STIG, ACAS remediation, POA&M development, or Section 508 compliance.
  • Active or previous Tier 3 (T3), NACLC, IT-II, or higher background investigation or clearance eligibility.

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