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Hire remote Core Flight Software Developer

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.
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Verified in SoftDoesAndrea M.
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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.
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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
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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.
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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.
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Andrii V.Verified in SoftDoes
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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.
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Andrii V.Verified in SoftDoes
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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.
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Verified in SoftDoesBoris S.
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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.
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Boris S.Verified in SoftDoes
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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
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BG 🇧🇬English (B2)Senior
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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.
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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.
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Eugene M.Verified in SoftDoes
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ES 🇪🇸English (C2)Senior
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10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

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

Hripsime S.
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Verified in SoftDoesHripsime S.
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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.
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Hripsime S.Verified in SoftDoes
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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.
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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.
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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.
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Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
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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.

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What our Core Flight Software Developers can build

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.

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How to hire a Core Flight 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.

US VS. THE DATABASE

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 take to hire a Core Flight Software Developer through SoftDoes?

For senior embedded flight software talent, our typical sourcing and vetting process takes four to eight weeks, depending on the specificity of your mission requirements and the engagement model you choose. If you need a full pod or cFS team with complementary skills, the timeline may extend slightly, but our existing network of pre-screened engineers significantly reduces the search window compared to traditional recruiting. Once placed, expect a structured onboarding ramp of 30 to 90 days before the developer reaches full productivity, with meaningful contributions starting in the first month as they learn your codebase, toolchain, and mission context.

What does it cost to hire a Core Flight Software Developer?

In the United States, embedded flight software engineers typically command base salaries in the range of $150,000 to $170,000 per year depending on region, seniority, and specialization. When you factor in employer overheads, benefits, equipment, toolchain licensing, and V&V infrastructure, the fully loaded cost is often 1.5 to 2 times the base salary. Engaging through a dedicated talent partner like SoftDoes may involve premium rates, but this model eliminates the overhead of a full time hire, removes recruiting costs, and provides replacement guarantees and scaling flexibility that a direct hire cannot match. The business case becomes even clearer when you consider that cFS saves about 70% of costs compared to custom software, meaning a developer experienced in the framework delivers outsized value relative to one building from scratch.

What engagement models are available (dedicated hire, pod, contract)?

SoftDoes offers three primary engagement models. A dedicated hire places a single senior core flight software developer embedded in your organization, working as an extension of your team with flexible monthly engagement. A pod or team model assembles multiple engineers with complementary skills spanning architecture, flight software development, testing, and integration, ideal for comprehensive programs requiring robust coverage. A contract or project basis model is deliverable focused and works best when scope is well defined. Each model includes replacement guarantees, and you can transition between models as your project evolves.

How do you ensure time zone alignment with a Core Flight Software Developer?

We prioritize candidates located in overlapping time zones with your team, or engineers willing to work partial overlap hours to ensure real time collaboration during critical windows. We establish core working hours, define sprint cadences, and schedule regular standups to maintain alignment. For distributed teams, we emphasize robust documentation practices and asynchronous communication tools so that progress never stalls due to time differences. When a pod model is in place, local leadership or a dedicated project manager handles coordination, blocks issues, and ensures nothing falls through the cracks.

How does SoftDoes technically vet a Core Flight Software Developer?

Our vetting process is designed specifically for the demands of mission critical embedded systems. We review each candidate's prior mission experience, code samples, and contributions to open source projects such as the NASA core flight system. Technical assessments test knowledge of RTOS internals, embedded programming, scheduling, interrupt handling, and memory management. Candidates complete a practical exercise, writing or debugging low level firmware under realistic constraints. We evaluate their knowledge of safety and certification standards, their approach to automated testing strategy and HIL simulation, and their ability to produce clear documentation essential for audits in aerospace software development. Finally, behavioral interviews assess collaboration skills, accountability under pressure, and alignment with the high stakes correctness that flight software demands.

What happens if the Core Flight Software Developer isn't the right fit, or I need to scale up or down?

SoftDoes offers a replacement guarantee for every engagement. If the developer is not meeting quality, performance, or culture expectations, we replace them at no additional cost. Our engagement models are designed for flexibility: you can add team members as your project enters integration or testing phases, or scale down as you move past peak development. We use regular check ins and measurable KPIs (defect rate, schedule adherence, integration readiness, review quality) to evaluate fit continuously, so issues surface early and corrective action happens before they affect your mission timeline.

How to Hire a Core Flight Software Developer

Hiring an underqualified embedded engineer for a mission critical flight software role can mean months of rework, failed certification cycles, and costly launch delays. The right hire delivers the opposite: reliable systems, faster time to mission, regulatory compliance, and software architectures that scale across your entire portfolio. This guide walks you through everything you need to make that hire well, from understanding the role and preparing internally to vetting candidates, avoiding costly mistakes, and partnering with a delivery team that removes the risk.

What a Core Flight Software Developer Actually Does and Why the Role Is Mission Critical

The Real Day to Day: Defining the Core Flight Software Developer Role

A core flight software developer, sometimes called a core sky-systems software specialist, is the engineer responsible for designing, building, testing, and maintaining the embedded real time software that runs on spacecraft, launch vehicles, satellites, and avionics hardware. Their work spans firmware, operating system abstraction, onboard control loops, fault management, telemetry, and command and data handling. In practice, this is someone who makes the difference between a system that performs flawlessly in orbit and one that fails when it matters most.

Here is what the role looks like on a daily basis:

  • Writing embedded code for real time operating systems. This means C, C++, and sometimes Ada or SPARK, targeting platforms like VxWorks, RTEMS, or FreeRTOS. Real-time operating systems are crucial in embedded systems for aerospace applications. Many projects use NASA's core flight system (cFS), a reusable flight software framework that has powered over 40 NASA missions since 2004 and has been in use for over 20 years. Safety-critical coding practices typically involve using C or C++ with strict subsets to manage memory allocation.
  • Implementing guidance, navigation, and control (GNC) algorithms. This includes sensor data handling, state estimation, actuator control logic, and timing constraints such as latency and jitter. Proven experience in safety-critical real-time systems is essential in aerospace software development.
  • Managing telemetry, command and data handling (C&DH), and communications protocols. Developers design how flight software communicates with ground systems, instruments, payloads, and other subsystems, often using CCSDS standards. Common bus protocols in aerospace include SpaceWire and MIL-STD-1553.
  • Developing and executing verification and validation (V&V). This covers unit tests, integration testing, and hardware-in-the-loop (HIL) simulation. Hardware-in-the-loop testing checks software against real or simulated hardware, while strong CI/CD pipelines are important for automated testing in embedded systems. Independent verification and validation are critical in aerospace software assurance.
  • Ensuring compliance with safety and certification standards. Knowledge of DO-178C compliance is necessary for meeting FAA safety levels, while European projects may follow ECSS standards. Tailoring applicable standards to safety classifications is crucial in aerospace projects. A version of cFS has been Class A certified for manned flight applications. Clear documentation is essential for audits in aerospace software development.
  • Maintaining portability and reuse across hardware platforms. This involves working with OS abstraction layers, the platform support package (PSP), and board support packages (BSPs) to ensure cFS applications can be ported across various operating systems and processors. cFS is a reusable flight software framework for multiple platforms, with a layered architecture built on NASA best practices developed over 20 plus flight missions.

Why Hiring the Right Core Flight Software Developer Is a Strategic Priority

Getting this hire right is not just a technical decision; it is a business one. Here is what the right embedded flight software expert delivers:

  • Faster time to mission delivery. Reusable software frameworks like the NASA core flight system dramatically reduce the amount of code written from scratch. cFS saves about 70% of costs compared to custom software, accelerating development and shortening integration timelines.
  • Lower cost and fewer late stage surprises. Experienced developers catch defects earlier, reduce integration mismatches, and avoid the certification failures that cause the most expensive delays. Their engineering process should include requirements management and bidirectional traceability, which prevents costly rework downstream.
  • System reliability and safety. In regulated and human rated missions, there is zero margin for error. The right hire brings deep knowledge of fault detection, redundancy, real time scheduling, and deterministic behavior. NASA cFS has Class A certification for manned flight applications, and developers who understand that standard protect both astronauts and your program.
  • Scalable growth across missions. Well architected flight software can be reused across different spacecraft, hardware platforms, and mission profiles. This means your second, third, and tenth mission cost a fraction of the first, driving portfolio growth with lower marginal investment.

Getting Ready Before You Open the Role

How to Define Your Needs Before You Hire

Before writing a job posting or reaching out to a talent partner, get clear on three things internally.

Project Scope and Requirements

Specify the technical and mission parameters your core flight software developer will work within. This includes the class of mission (CubeSat, smallsat, human rated), the regulatory environment (DO-178C, ECSS), the target hardware platforms (radiation hardened processors, COTS boards), and the operating systems or frameworks in use (RTOS, cFS framework, Linux for ground systems). Define performance requirements: latency budgets, memory bounds, throughput targets. Identify whether environmental testing (vibration, thermal, radiation) is part of the developer's scope. The more specific you are here, the faster you can filter for the right candidate.

Team Structure and Engagement Model

Decide where the flight software development role sits in your organization. Does it live under systems engineering, embedded software, or avionics? Will this person own HIL testing, V&V artifacts, or documentation? Clarify the lifecycle model: strict waterfall with formal reviews, or an agile approach with structured V&V phases layered in. Configuration management tools like Git and Jira are vital for maintaining software change logs, so define your toolchain expectations upfront.

In House vs. Dedicated Remote Talent

In house hires offer tighter integration, faster decision cycles, and deeper knowledge transfer, but come with higher fixed costs, longer hiring timelines, and geographic constraints. Engaging a partner that provides access to vetted senior talent through a dedicated or pod based model gives you specialized flight software expertise, scaling flexibility, and reduced hiring friction. The trade off is that remote engagement requires intentional alignment on communication cadence, time zones, quality standards, and deliverable definitions.

How to Write a Job Description That Attracts Serious Candidates

A generic "embedded software engineer" posting will not attract the right people. A standout job description for a core flight software developer covers four elements:

  • Mission context and impact. Explain the "why." What mission, spacecraft, or program will this person contribute to? What does the flight software protect or enable? Is this for a satellite communications payload, a lunar gateway subsystem, or a rover control system? Candidates who care about the mission self select in; everyone else filters out.
  • Technical stack and environment. List the specific RTOS, frameworks (such as the core flight executive and operating system abstraction layer), languages, compilers, hardware architectures, and communications protocols. Specify resource constraints. Aerospace development requires strict traceability from requirements to code implementation, so mention your requirements management approach.
  • Team structure and working model. Describe who they will work alongside: GNC engineers, hardware designers, V&V specialists, operations teams. Define reporting lines, review cadences, and whether the role is remote, hybrid, or on site.
  • Growth, ownership, and influence. Outline progression opportunities: leading subsystem architecture, driving certification efforts, contributing to software reuse across missions, or mentoring junior engineers. Senior candidates want to know they will have real influence on the program.
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How to Find, Evaluate, and Onboard a Core Flight Software Developer

A Vetting Process That Goes Beyond Resumes

Sourcing Strategy

Standard job boards are not effective for this niche. Flight software development is a specialized field and the best engineers rarely respond to generic postings. Use specialized aerospace and embedded systems channels, partner with firms experienced in recruiting for custom software development in mission critical domains, and tap into talent networks that pre-screen senior embedded engineers. One strong signal to look for: candidates contributing to the open source version of NASA cFS or JPL's F Prime. Active participation in the cFS community demonstrates hands on experience and genuine engagement with the framework. NASA cFS has powered over 40 missions including the Roman Space Telescope, so contributors to this ecosystem bring a rich heritage of real mission software experience.

Vetting Beyond the Resume

Resumes tell you where someone worked. Vetting tells you whether they can do the work. Structure your evaluation around these components:

  • Technical screening. Test knowledge of RTOS internals, scheduling theory, interrupt handling, memory management, concurrency, and race conditions. Ask how they would debug a timing violation on a flight processor with limited tooling.
  • Practical real world task. Assign a constrained coding exercise: implementing a scheduling subsystem, a telemetry message bus, or porting a module to a new board. This reveals how candidates handle resource constraints, write testable code, and document their decisions.
  • Analytical and problem solving interview. Present trade off scenarios: throughput versus latency versus memory. Ask how they would design fault detection and redundancy for a specific subsystem, or how they would meet timing guarantees under degraded conditions.
  • Code review exercise. Have the candidate review a sample of existing flight software source code. Evaluate how they reason about clarity, testability, reliability, and traceability.
  • Culture and accountability fit. Flight software is high stakes. The candidate must demonstrate strong documentation habits, a quality mindset, and the ability to collaborate across hardware, software, testing, and operations teams. A sloppy communicator in this domain is a mission risk.

Setting Your New Hire Up for Success: The 30/60/90 Day Plan

Even the best core flight software developer needs a structured ramp up. Here is what that looks like:

  • Days 1 through 30. Provide mission documentation, the existing software base, hardware specs, coding standards, and the full testing setup (simulation environments, HIL rigs). Assign a mentor or peer reviewer. Start the new hire on a smaller, non critical component so they learn the codebase, the standards, and the tools without introducing risk.
  • Days 31 through 60. Increase responsibility. Engage the developer in integration and testing cycles, formal reviews, and V&V artifact creation. Have them own specific modules or features, with regular code reviews and feedback loops.
  • Days 61 through 90. By now, the developer should be leading a component, contributing to architecture or trade studies, and identifying improvements in code quality, testing coverage, or process efficiency. Set measurable KPIs: schedule adherence, defect rate, review feedback quality.

Retention depends on giving people meaningful ownership and a path forward. Recognition of mission impact, certification training opportunities, involvement in cross mission reuse, and a supportive remote culture all matter.

Deciding With Confidence: Signals, Partnerships, and Next Steps

Red Flags and Green Flags When Evaluating Core Flight Software Candidates

Red flags (warning signals during interviews):

  • Shallow embedded experience. The candidate has mostly worked on high level backend systems and lacks deep RTOS or real time programming expertise. Flight software demands low level mastery, not surface familiarity.
  • No experience with safety or certification standards. If they cannot articulate how they have handled deterministic behavior, timing analysis, or DO-178C artifacts, they are not ready for mission critical work.
  • Weak testing discipline. No involvement in hardware-in-the-loop simulation, no experience with automated testing pipelines, and no evidence of systematic debugging at the integration level.
  • Poor documentation and systems thinking. Inability to explain trade offs around memory, processor, power, or hardware limitations. No awareness of how their code fits into the whole thing end to end. Sloppy code reviews or missing traceability.

Green flags (positive indicators of senior level capability):

  • Demonstrated experience with relevant flight frameworks such as NASA cFS, the core flight executive, operating system abstraction layer, and platform support package layers, plus real work on embedded BSP, message buses, and telemetry systems.
  • Strong V&V track record: unit tests, integration testing, system testing, HIL simulations, and direct support for certification. cFS 2.0 will undergo rigorous simulation and testing before release, and candidates who understand that level of rigor bring immediate value.
  • Deep knowledge of resource constrained programming (memory, CPU, power) with architectural thinking around modularity, portability, and reusable software design.
  • Full lifecycle mission experience: resolving anomalies, managing latency constraints, building robust fault management, and collaborating effectively across hardware and software teams. Evidence of lessons learned applied across missions is a strong indicator.

Why Partnering with SoftDoes Gives You an Edge

Finding and hiring a core flight software developer on your own can take months. The talent pool is small, the stakes are high, and a bad hire is far more expensive than a longer search. SoftDoes removes that risk.

We are a North America focused software engineering and talent delivery partner serving clients across the US and Canada. Our talent network includes carefully vetted senior embedded flight software experts with real mission critical experience, not isolated freelancers, but reliable specialists who understand frameworks like NASA cFS, the core flight executive, and the full cFS framework stack.

  • Pre-vetted senior talent. Every engineer in our network has been assessed for RTOS depth, flight software architecture knowledge, V&V rigor, and collaborative accountability.
  • Team delivery model. We offer flexible engagement from a single specialist to a full development pod, with complementary skills in architecture, integration, testing, and compliance.
  • Replacement guarantees and scaling flexibility. If the fit is not right, we replace. If your project phase changes, we scale up or down. You are never locked in.
  • Outcomes focused. Our client profile spans scale ups and regulated industries where reliability, safety, and enhanced security are non-negotiable. We focus on operational results: fewer defects, faster certification, successful missions.

The core flight system is a widely used architecture in modern aerospace projects, and the landscape continues to evolve. NASA cFS 2.0 will support in-space robotics and cybersecurity, with onboard machine learning capabilities and autonomy features representing a significant update. cFS Gov (Alpha) is planned for release by late 2026. cFS supports plug-and-play capabilities for in-space robotics. Whether you are building for a CubeSat, a lunar gateway program, or rovers exploring planetary surfaces, the developers you hire today need to be ready for that reality.

Ready to Hire a Core Flight Software Developer?

Stop burning months on a search that produces the wrong candidates. Schedule a discovery call with SoftDoes to map your mission needs, timeline, and budget. We will assess your project's flight software complexity, propose the right engagement model, and connect you with proven engineers who can contribute from day one.

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