Hire a Defense Software Developer

Hire Defense Software Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.

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Meet Our Defense Software Developers

Discover developers that match your project requirements.

No exact match for this specialty yet — here are related experts from our network.

Aditya P.
Available Now
Verified in SoftDoesAditya P.
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Andrea M.
Available Now
Verified in SoftDoesAndrea M.
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrii V.
Available Now
Verified in SoftDoesAndrii V.
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Boris S.
Available Now
Verified in SoftDoesBoris S.
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Eugene M.
Available Now
Verified in SoftDoesEugene M.
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Hripsime S.
Available Now
Verified in SoftDoesHripsime S.
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Mario J.
Available Now
Verified in SoftDoesMario J.
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Raphael O.
Available Now
Verified in SoftDoesRaphael O.
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Santiago G.
Available Now
Verified in SoftDoesSantiago G.
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Thierry M.
Available Now
Verified in SoftDoesThierry M.
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thomas S.
Available Now
Verified in SoftDoesThomas S.
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Tzechung K.
Available Now
Verified in SoftDoesTzechung K.
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Discover More Defense Software Developers in the SoftDoes NetworkRegister to view more

Defense Software Solutions Our Developers Build

mission planning & simulation systems
secure communications platforms
command & control (C2) systems
logistics & readiness tracking tools
geospatial intelligence platforms
training & simulation environments
cybersecurity monitoring systems
secure data-sharing platforms
Explore ALL SOLUTIONS

How we select Defense Software developers

Not sure which engagement model fits?

SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.

Explore Services

SECURITY & COMPLIANCe

Defense products operate with sensitive data, complex transactions, and industry-specific requirements. We build security and compliance considerations into the product architecture from the start.

BUILD SECURELY
  • PROTECT

    [01]
    • Secure classified data handling
    • Encryption
    • Data privacy
    • Secure API architecture
  • CONTROL

    [02]
    • Authentication & authorization
    • Audit trails
    • Access control
    • Activity monitoring
  • COMPLY

    [03]
    • ITAR-aligned workflows
    • Security clearance requirements
    • High availability
    • Fault tolerance

FIND THE
RIGHT expert, FASTER

Choose a role. Filter by technology.
Discover developers that match your project requirements.

How to hire a Defense Software Developer

01
BROWSE PROFILESRIGHT NOW'

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

Why hire Defense Software developers through SoftDoes

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it typically take to hire software engineers with proven experience in Defense Software?

Expect a minimum of 90 to 120 days to hire a senior engineer with an active Secret clearance. For candidates requiring TS/SCI with polygraph, the timeline can stretch to six to twelve months if clearances are still being processed. Streamlining and planning for security clearances early in the process reduces these bottlenecks. Partnering with a firm that maintains a pre vetted talent network of cleared engineers can compress the sourcing and vetting phases significantly, getting qualified candidates into your pipeline faster.

What does it cost to hire a dedicated software engineer or team with Defense Software domain expertise?

Defense software developers typically earn between $135,000 and $200,000 annually, with total compensation that may include stock units, bonuses, and comprehensive benefits packages covering medical, dental, and vision insurance, disability insurance, relocation assistance, paid holidays, and paid parental leave. Salary is influenced by qualifications, work experience, and clearance level. Clearance sponsorship itself can add meaningful cost and extended wait times. Using a talent delivery partner involves vendor fees but can reduce management overhead, eliminate sourcing delays, and shift compliance risk.

What engagement models are available for Defense Software projects, such as a dedicated hire, a pod, or a contract?

Multiple models exist depending on your needs. A dedicated hire embeds a single specialist directly in your team for ongoing work. A pod model deploys a full, cohesive engineering team (typically three to eight engineers) that operates as an extension of your organization with built in knowledge sharing and management. Contract engagements offer flexibility for time bound projects or surge capacity. Each model involves different trade offs in control, security, cost, and speed. The right choice depends on your project scope, classification level, and how quickly you need to scale.

How do you ensure time zone alignment with a Defense Software focused engineering team?

Time zone alignment is especially important in defense because many projects require secure physical presence or restricted remote access during specific operational windows. SoftDoes focuses on North American talent across the US and Canada, which naturally reduces time zone friction. For distributed teams, we establish overlapping working hours, structured communication cadences, and clear escalation paths. Defense work often demands synchronous collaboration for code reviews, security discussions, and integration tasks, so we plan team composition with this constraint in mind.

How does SoftDoes vet engineers for both technical skill and Defense Software domain knowledge and compliance requirements?

Our vetting process goes well beyond the resume. We verify clearance history and status at the outset. Technical interviews use scenario based problems that mirror real defense challenges, such as threat modeling, secure supply chain analysis, and embedded real time constraint exercises, rather than generic coding tests. We evaluate compliance awareness by testing knowledge of CUI handling, ITAR, NIST frameworks, and documentation practices. We also assess verbal communication skills, collaborative ability in regulated environments, and systems thinking under constraints. Implementing structured evaluations helps us reduce bias and ensure each candidate can deliver reliably within your specific mission context.

What kind of support is available after launch for ongoing Defense Software software projects?

Post launch support includes software assurance, vulnerability management, patching, and sustainment within the regulatory frameworks your project requires. Our teams handle ongoing compliance audits, security updates, and configuration management to ensure your systems remain certified and operationally ready. We also provide knowledge sharing documentation so your internal team maintains full visibility. Whether you need continuous development of new applications and features or long term maintenance of existing systems, engagement models flex to match your evolving needs.

How to Hire Software Engineers for Defense Software

Finding qualified software engineers for defense software projects is one of the hardest hiring challenges in the industry. Most organizations default to sourcing generic developers who lack the domain context, compliance awareness, and security clearance needed to deliver mission critical systems. This guide walks you through how to define your requirements, source and vet specialized defense technology talent, onboard effectively, and avoid costly hiring mistakes so your team ships high quality software on schedule and within regulatory boundaries.

What Defense Software Engineering Really Involves and Why It Matters

Core Tasks, Technical Requirements, and the Defense Software Ecosystem

Software engineering in the defense sector is fundamentally different from commercial software development. Engineers working in this domain build and maintain mission critical systems including weapon platforms, command and control networks, intelligence surveillance and reconnaissance (ISR) pipelines, secure communications, and simulation environments. The daily work goes far beyond writing code. It requires deep knowledge of system architecture, hardware integration, real time constraints, and strict compliance regimes.

Here is what defense software engineers actually do on a daily basis:

  • Design and implement embedded or firmware software constrained by specific hardware such as microcontrollers, FPGAs, and DSPs, often requiring deterministic, real time behavior and fault tolerance.
  • Build and integrate secure communications protocols, including cryptography, key management, and data sovereignty controls for both classified and controlled unclassified information (CUI).
  • Ensure interoperability across subsystems, frequently involving legacy systems, strict versioning, data structures, and controlled interface specifications that drive core operations.
  • Implement software assurance practices including static and dynamic analysis, threat modeling, formal verification methods, fuzzing, and test and evaluation workflows aligned with military and aerospace software standards.
  • Manage secure software supply chains by vetting third party components and open source libraries, ensuring traceability, and mitigating vulnerabilities across complex workflows.
  • Define and operate DevSecOps pipelines that enforce compliance continuously, automate audits, and generate real time evidence for authorization decisions.

Understanding ITAR and export control regulations is crucial for defense software positions, as is familiarity with frameworks like CMMC, NIST SP 800 171, DFARS, and standards such as MIL STD and DO 178 for airborne systems. Engineers must also understand data flows, api development patterns in restricted environments, and algorithms optimized for reliability under battlefield conditions.

Why Deep Defense Software Expertise Is a Strategic Priority

Hiring engineers with genuine defense technology expertise is not a nice to have. It directly affects your ability to win contracts, pass audits, and deliver systems that protect lives. Here are the concrete business benefits:

  • Faster path to mission readiness. Engineers who already understand compliance, security practices, and clearance protocols contribute from day one instead of spending months learning the domain.
  • Reduced rework and technical debt. Violating standards or missing regulatory guardrails leads to costly refactoring, failed certifications, or lost contracts. Domain experts avoid these traps.
  • Lower risk of security incidents. Defense systems face adversarial threats. Engineers skilled in threat modeling, supply chain risk, and secure by design practices reduce the probability of breaches that endanger national security.
  • Credibility with government customers. Certification, clearance, and domain pedigree are prerequisites to bid on many contracts or maintain ongoing funding. Your team's capability signals your organization's readiness.

How to Prepare Before You Start Hiring

Defining Your Technical and Domain Needs Before Opening a Search

Before posting a single job description, get alignment internally on three critical dimensions.

Project Scope and Regulatory Constraints

Map out your project's classification level (unclassified, CUI, Secret, Top Secret). Identify which safety or assurance standards apply. Define your contractual obligations under CMMC, DFARS, NIST, or MIL STD. Hiring skilled defense software developers requires security compliance and technical competencies, so you must know which compliance level your engineers need to meet before you source a single candidate. Clearance verification should be prioritized at the beginning of the hiring process to avoid downstream delays.

Required Tech Stack and Third Party Integrations

Make explicit which languages, platforms, tools, and environments your team uses. Common stacks include C, C++, Ada, Rust, Python, RTOS, embedded Linux, and cloud environments with specific security certifications like FedRAMP or DoD Impact Level authorization. Specify whether hardware toolchain experience is needed (FPGA, signal processing), whether artificial intelligence or ML pipelines play a role, and whether operational technology knowledge or real time hardware in the loop testing matters. Developers should be assessed for their capacity to work with modern technology stacks.

In House Engineers vs. Dedicated Remote Pods

Understand the trade offs. In house teams give you more control, easier compliance handling, and direct oversight. Dedicated remote pods through a talent delivery partner offer flexibility and speed at the cost of more complex security arrangements. Remote defense software engineer jobs are available, but models must include oversight, documentation, secure environments, and possibly facility accreditation. Both approaches require planning for secure workstations and access controls.

Building a Requirement Profile That Attracts the Right Defense Software Talent

A strong requirement profile separates serious candidates from noise. Job descriptions should clearly state required technical competencies and compliance qualifications. Cover these four elements:

  • Mission and domain context. State clearly what your team builds. "We develop next generation surveillance UAS systems" or "We maintain satellite ground station software" gives candidates the information they need to self select.
  • Technical stack and compliance context. List languages, frameworks, tools, and the specific regulatory frameworks in play. Do not leave compliance requirements buried in fine print.
  • Team structure and reporting. Define the mix of embedded engineers, systems engineers, security engineers, DevSecOps specialists, and operations roles. Clarify where this person fits and who they work alongside, including other engineers across functions.
  • Business impact and success metrics. Specify reliability targets, certification deadlines, interoperability requirements, or delivery milestones. Engineers in defense want to know their work matters. Retention strategies include providing clear career progression and recognizing technical contributions.
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How to Find, Vet, and Onboard Defense Software Engineers

Sourcing and Vetting Engineers With Real Defense Expertise

Sourcing Strategy

Defense talent moves in a smaller marketplace than commercial tech. The best sources include cleared engineers from primes, defense tech startups like Palantir Technologies and similar organizations, veteran engineering programs, academic research labs, and specialized cleared contracting firms. A strong defense recruitment strategy includes diverse sourcing beyond traditional defense channels, including community networks and programs that bridge military service to software engineering careers. Women are underrepresented in technology and engineering roles, impacting diversity in defense, so broadening your sourcing pipeline matters both ethically and operationally.

Pre vetted talent networks with defense expertise outperform generic recruiters because they already filter for clearance status, domain knowledge, and compliance awareness. Expect hiring timelines of 90 to 120 days for Secret cleared engineers. TS/SCI plus polygraph candidates can take six to twelve months if clearances are still being processed. Streamlining and planning for security clearances can reduce hiring bottlenecks significantly.

Vetting Beyond the Resume

Resumes must be screened for domain exposure: project history with similar constraints, any previous clearance status, familiarity with standards like CMMC, MIL STD, NIST, or DO 178. But resumes only tell part of the story. Evaluating behavioral attributes alongside technical skills enhances candidate assessments in defense.

  • Scenario based technical interviews. Effective assessments should mirror defense specific challenges rather than generic coding tests. Present candidates with threat modeling exercises, secure supply chain problems, or embedded real time constraint scenarios. Candidates should demonstrate systems thinking and reliability under constraints in their evaluations. Implementing structured evaluations can help reduce bias in candidate assessments.
  • Compliance and security knowledge. Test understanding of CUI handling, data sovereignty, supply chain risk, and documentation practices. Security and compliance knowledge should be evaluated during the hiring process, not assumed.
  • Communication and collaboration. Evaluate verbal communication skills and the ability to explain design trade offs between performance, reliability, safety, and cost. Evaluating collaborative work in regulated environments is crucial for defense developers who must interact with government oversight, cross functional teams, and prime contractor stakeholders.
  • Programming fundamentals. Candidates should possess strong programming fundamentals and relevant technical experience, including proficiency in code reviews, problem solving under constraints, and knowledge sharing within engineering teams.

Ramping Up Your New Defense Software Team (30/60/90 Day Setup)

Building efficient onboarding processes aligned with security requirements is essential for defense firms. A structured ramp prevents costly delays and gets engineers contributing production ready code faster.

  • Days 1 through 30. Provide access to secure environments, background on the mission, orientation to your compliance frameworks, codebases, and tools. Set up secure workstations and facilities. Assign a mentor. Focus on knowledge transfer and culture integration.
  • Days 31 through 60. Assign small, well scoped tasks with explicit quality and security rules. Start integrating new hires into cross team workflows. Shadow system test and verification flows. Encourage feedback loops and code reviews with the broader team.
  • Days 61 through 90. The engineer should be contributing substantial features, assuming more autonomy, able to self audit for compliance, and interacting with government or prime oversight as needed. Confirm delivery speed, reliability of output, and alignment with your processes.

How to Make the Right Hiring Decision

Red Flags and Green Flags in Defense Software Tech Candidates

Green flags that signal a strong hire:

  • Prior experience with similar defense or regulated systems, including active or previous clearance and a proven track record in secure development.
  • Deep understanding of software security, safe fail safe design, threat modeling, and supply chain risk management.
  • Experience deploying DevSecOps, automation in compliance, and continuous evidence generation for audits.
  • Ability to perform rich analyses of trade offs between performance, reliability, safety, and cost, and to talk through those trade offs clearly with both technical and non technical stakeholders.

Red flags that should give you pause:

  • Treating compliance or security as a bolt on rather than a design constraint from the start, or ignoring documentation and traceability requirements.
  • Inability to articulate trade offs or explain domain specifics such as what CUI means, what supply chain issues look like, or what data sovereignty requires.
  • No experience with cleared work, or a fundamental misunderstanding of clearance timelines and what they involve.
  • Poor verbal communication skills about technical risk, or inability to discuss how their solutions support the broader defense offering and mission objectives.

Why Partnering With SoftDoes Gives You an Edge

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. Instead of spending months searching for engineers who understand defense technology, you get immediate access to pre vetted senior talent with domain experience and compliance pedigree.

What makes SoftDoes different:

  • Pre vetted, senior engineering talent. Every engineer in our network has prior defense or regulated industry experience. We screen for clearance history, domain knowledge, and the ability to deliver high quality software under strict constraints.
  • Team delivery model, not isolated freelancers. We deploy cohesive development pods that include the right mix of embedded engineers, systems engineers, security specialists, and DevSecOps resources, structured for knowledge sharing and accountability.
  • Replacement and scaling guarantees. If a team member is not the right fit, we provide a guaranteed replacement. Need to scale up or down based on project phases? We handle it.
  • Compliance aligned processes. Our internal practices already align with CMMC, DFARS, NIST, and secure supply chain controls. We handle secure environments, documentation practices, and audit readiness so you can focus on your mission.
  • Flexible engagement models. From a single specialist to a full pod, you choose the plan that matches your needs. Explore our digital transformation consulting if you also need architecture level guidance.

Defense software developers earn between $135,000 and $200,000 annually, with total compensation that may include stock units and bonuses. Salary is influenced by qualifications and work experience. Compensation packages often include health and wellness benefits. Employees can enroll in medical, dental, and vision insurance. Relocation assistance is provided for employees. Additional benefits include disability insurance, 10 paid holidays each year, paid leave for new parents, and flexible paid time off. Working with a partner like SoftDoes lets you access this caliber of talent without bearing the full overhead of sourcing, vetting, and compliance management yourself.

Ready to Hire Defense Software Engineers?

If you are ready to stop working hard to fill critical roles with generic developers and start building a team that understands your mission, compliance demands, and the technologies that matter, the next step is simple. Schedule a discovery call with our defense domain experts. We will assess your requirements, match you with pre vetted engineers, and deliver a team that can start contributing immediately. No long commitments. No wasted months. Just the right talent, ready to deliver.

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