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Hire remote Bitcoin Developer

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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.

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What our Bitcoin Developers can build

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What we do for you

From sourcing and vetting to onboarding and ongoing support, we handle the entire process so you can focus on building products instead of managing hiring.

Sourcing and vettingAll our developers are fully vetted and tested for both soft and hard skills. No surprises.
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matchingWe match fast, but with a human touch. Your candidates are hand-picked for your request.
One Contract, Zero OverheadYou sign one agreement with us. We handle developer contracts, reporting, and payments.
Support and troubleshootingThings happen, but you have a customer success manager and a 100% free replacement guarantee.

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Eugene M.DevOps EngineerAWS / GCP / Terraform / Gitlab
AWS / GCP / Terraform / Gitlab
Rate$53 / hour
LanguagesEnglish
previously at

ONE ENGAGEMENT, NO SURPRISES

Work with senior engineers on a flexible monthly engagement. No recruiting fees, no long hiring cycle, no surprises in the invoice. Every placement is vetted, guaranteed, and backed by a firm you can reach when something needs attention.

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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 developers with proven Bitcoin expertise?

Timelines depend on scope, but sourcing from a pre vetted network typically compresses what would otherwise be a months long search into a matter of days for an initial shortlist. Once you have a clear requirement profile covering scope, seniority, and stack, candidates who already have verified Bitcoin experience can be presented quickly since the screening work has already happened before you engage. Standard outbound recruiting, by contrast, often takes considerably longer because most applicants require lengthy technical screening just to confirm basic protocol level competence. Expect initial candidate introductions within days rather than weeks, with final selection depending on how many technical conversations your team wants to run before deciding.

What does it cost to hire a developer or team with deep Bitcoin expertise?

Cost depends heavily on scope and engagement model. A single specialist brought on for a defined feature costs meaningfully less than a full pod handling an entire custody platform or Lightning payment rail from scratch. Developers with genuine Bitcoin expertise, meaning real experience with Script, the UTXO model, and Layer 2 integration, command a premium over generalist blockchain developers, but that premium is typically offset by faster delivery and far fewer costly rework cycles later. The most reliable way to control cost is to scope the work precisely before hiring, so you pay for exactly the seniority and specialization the project requires rather than over or under hiring relative to actual technical demands.

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

Engagement models typically range from a single dedicated developer embedded in your existing team, to a full pod combining a lead engineer, backend developer, and reviewer for larger builds, to shorter contract engagements for well defined, time boxed work such as a specific integration or audit. The right choice depends on project scope and how much ongoing Bitcoin work you expect after the initial build ships. A single specialist suits a contained feature, while a pod suits a full product build or anything involving Lightning infrastructure, custody, or multiple moving technical pieces that benefit from built in peer review across the team.

How do you ensure time zone alignment with a team skilled in Bitcoin?

Working with a North America focused delivery partner means developers and pods are sourced and scheduled to overlap meaningfully with standard United States and Canada business hours, rather than requiring your team to run standups at odd hours to accommodate a distant time zone. This overlap matters especially during active development and code review cycles, where fast back and forth on architectural decisions, such as fee handling or wallet design, keeps momentum rather than losing a full day to time zone lag on every question. Alignment is confirmed upfront as part of the engagement setup, so your internal team and the Bitcoin developer or pod work together in real time from the start.

How does SoftDoes technically vet developers for Bitcoin expertise?

Vetting goes well beyond confirming resume claims. Candidates are evaluated on their understanding of core concepts such as the UTXO model, Bitcoin Script, and hierarchical deterministic wallet standards, then tested through practical exercises grounded in real scenarios, including fee estimation logic, transaction construction, or Lightning channel behavior, rather than generic coding puzzles. Architectural reasoning is assessed directly, asking candidates to explain tradeoffs in tooling choices such as BDK versus bitcoinjs lib, or how they would structure a system around dynamic mempool driven fees. This combination of conceptual depth, hands on task performance, and communication ability ensures only developers with genuine, production ready Bitcoin experience make it into the talent network you draw from.

What support is available for scaling the team after launch as our Bitcoin needs grow?

Once your initial developer or pod is in place and delivering, scaling is straightforward because the engagement model is built for growth from the start. You can add specialists, whether that means additional backend developers, a Lightning specialist, or a security focused reviewer, without restarting the sourcing and vetting process from zero, since the same standards already apply across the network. Replacement and scaling guarantees mean that if a team member is not the right fit as scope expands, a suitable replacement is provided quickly rather than leaving your roadmap stalled. This makes it possible to grow from a single specialist to a full pod as your Bitcoin product matures and transaction volume increases.

How to Hire Developers Skilled in Bitcoin

Too many companies hand a Bitcoin project to a generalist blockchain developer, then spend months untangling broken wallet logic, mismanaged keys, and fee estimation bugs that surface only in production. The alternative is straightforward: engineers who have shipped real Bitcoin systems, understand the UTXO model at a technical level, and can be vetted before you commit budget or timeline. This guide walks CEOs, CTOs, and VPs of Engineering through what Bitcoin expertise actually looks like in practice, how to prepare an internal hiring plan, and how to source, vet, and onboard developers or a full pod without wasting cycles on the wrong hire.

Why Bitcoin Expertise Matters for Your Business

What Bitcoin Engineers Actually Do Day to Day

Bitcoin engineering is not abstract blockchain theory. It is concrete, production grade work built against Bitcoin Core's consensus rules and the tooling that has grown up around them. Understanding what this work actually involves is the first step toward hiring for it correctly rather than hiring for a generic blockchain title.

  • Validating transactions and blocks against Bitcoin Core consensus rules, using the bitcoin cli and JSON RPC interface to build monitoring, indexing, or wallet backends that stay synchronized with node state without diverging from the canonical rules every participant enforces identically.
  • Writing and auditing Bitcoin Script locking and unlocking conditions for UTXOs, working within a deliberately limited, non Turing complete language so that multisig, timelocks, and custom spending conditions stay provably safe rather than exposed to open ended contract risk.
  • Building and integrating Lightning Network payment channels, managing HTLCs, channel liquidity, and routing so an application can settle near instant, low fee payments off chain while still anchoring final settlement to the base layer when channels close.
  • Implementing hierarchical deterministic wallets under BIP 32, BIP 39, and BIP 44 standards, handling seed phrase generation, key derivation paths, and backup flows so users can recover funds reliably without the team inventing custom, unaudited key management from scratch.
  • Integrating dynamic fee estimation logic measured in satoshis per vByte, either by calling a third party fee estimation API or running mempool monitoring logic directly, since hardcoded fees quickly become unreliable as network conditions and confirmation targets shift.
  • Choosing and maintaining developer libraries such as bitcoinjs lib for JavaScript stacks, python bitcoinlib for Python backends, or BDK, the Rust based Bitcoin Dev Kit, to build wallets and transaction signing logic without operating a full node in house.

The Business Case for Deep Bitcoin Expertise

Hiring for real expertise rather than surface level blockchain familiarity pays off in ways that show up directly on your roadmap and your budget.

  • System stability: Developers who understand consensus rules and the UTXO model avoid the subtle bugs that cause failed transactions, stuck funds, or reorg related data issues, meaning fewer emergency incidents and a system your operations team can trust under real transaction volume.
  • Accelerated delivery cycles: Because experienced Bitcoin developers already know standard tooling, from BIP based wallet derivation to Lightning channel management, they skip the trial and error generalist hires spend weeks on, moving your roadmap from proof of concept to production ready release far faster.
  • Lower technical debt: Correct choices around script design, key management, and fee handling made early prevent costly rewrites later, so the codebase your team inherits down the line is maintainable rather than a patchwork of workarounds nobody wants to touch.
  • Scalable architecture: Teams that understand Layer 2 design and node level tradeoffs from day one build systems that handle growth in users and transaction volume without a full architectural overhaul, protecting both your budget and your launch timeline as demand increases.

Preparing Your Organization Before You Hire

Get Clear on Your Needs Before You Source Talent

Rushing to hire before your organization agrees on scope, seniority, and delivery model is the single biggest reason companies end up with a developer who is technically competent but wrong for the project. Spend time clarifying these questions internally first, and every later step, from writing the requirement profile to running technical interviews, becomes faster and more accurate.

Mapping Project Scope and Architecture Requirements

Start by defining whether the work touches base layer Bitcoin, Lightning Network integration, or both. A project that only needs wallet generation and transaction broadcasting through bitcoinjs lib or BDK is a very different hire than one building custom Script based spending conditions or running Lightning nodes with active channel management. Decide early whether you are integrating with an existing node and RPC interface or standing up new infrastructure. This scope decision determines everything downstream, including how senior the hire needs to be, whether you need one specialist or a small pod, and how the requirement profile should be written.

Matching Seniority Level to Your Technical Stack

Bitcoin specific knowledge only pays off when paired with the rest of your stack. A developer who deeply understands the UTXO model but cannot integrate cleanly with your existing backend, database layer, or API design will slow you down rather than speed you up. Map out the complementary skills the role actually needs, whether that is Rust for BDK based development, JavaScript or TypeScript for a bitcoinjs lib integration, or Python for backend services calling RPC methods through the bitcoin cli interface. Seniority should be judged against this combined profile, not against Bitcoin knowledge alone, since narrow specialists without stack fluency create integration bottlenecks.

Choosing Between an In House Hire and a Dedicated Pod

For a single, well scoped feature, one senior developer embedded in your existing team may be enough. For a full product build, whether that is a custodial wallet platform, an exchange integration, or a Lightning payment rail, a dedicated pod with complementary roles, such as a lead engineer, a backend developer, and a security focused reviewer, ships faster and with fewer blind spots than a solo hire working in isolation. For larger builds, this is often where a partner offering full custom software development capability fits better than a single embedded hire, since the surrounding product work rarely stops at Bitcoin logic alone.

Writing a Requirement Profile That Attracts Real Experts

A requirement profile that reads like a generic job posting attracts generic applicants. Cover these four elements so serious Bitcoin engineers can tell immediately that the role is real and well scoped:

  • Technical mission: State plainly what the developer will build, whether it is a wallet backend, a Lightning integration, a custody solution, or Script based multisig logic, and what business outcome that work is meant to unlock, so candidates can self select based on genuine interest and fit.
  • Ecosystem and tooling: Name the actual stack, including whether the role touches Bitcoin Core, BDK, bitcoinjs lib, python bitcoinlib, or a specific Lightning implementation, since precise tooling references filter out candidates who only have surface level blockchain exposure and attract those with hands on experience.
  • Team dynamics: Describe who the developer reports to, whether they join an existing pod or a small in house team, and how decisions on architecture and code review get made, so candidates understand the collaboration model before they commit to an interview process.
  • System impact: Explain how this role's output reaches real users or transaction volume, whether that means production wallets, live payment channels, or systems handling real value, because engineers with genuine expertise want to know their work matters beyond a sandbox environment.
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Finding, Vetting, and Onboarding the Right Team

How the Hiring and Vetting Process Should Work

Once your internal scope is set, the process splits into two distinct problems: finding candidates who plausibly have real Bitcoin experience, and confirming that experience holds up under scrutiny. Treating these as separate steps, rather than assuming a strong resume settles both, is what keeps weak hires out of your pipeline.

Where to Actually Source Bitcoin Talent

Standard outbound recruiting, posting to general job boards and hoping qualified Bitcoin engineers apply, is slow and produces a high volume of underqualified resumes that all claim blockchain experience without specifics. A faster, more reliable path is sourcing from a pre vetted talent network with a proven Bitcoin track record, where candidates have already been screened for real protocol level and wallet engineering experience before you ever see a profile. Our talent network is built exactly this way, so you spend your time interviewing finalists instead of filtering out candidates who list Bitcoin as a keyword with no production experience behind it.

Vetting That Goes Beyond the Resume

A resume cannot tell you whether a candidate actually understands the UTXO model, can reason about Script based spending conditions, or has managed Lightning channel liquidity under real constraints. Effective vetting includes a conversation about specific architectural choices, such as how they would structure fee estimation or handle a reorg edge case, plus a practical live coding or system design task grounded in an actual Bitcoin scenario rather than a generic algorithm puzzle. Round this out with a problem solving exercise under realistic constraints and a short culture fit conversation, since even a brilliant protocol level engineer who cannot communicate with your team will slow delivery down.

Onboarding and Integration in the First Ninety Days

Getting a new Bitcoin hire or pod to full productivity fast depends on structured onboarding, not just technical skill. Break the ramp up period into clear stages so access, trust, and ownership build in the right order.

  • First thirty days: Grant repository access, node or testnet environment credentials, and documentation on your existing wallet or transaction handling logic immediately, then pair the new developer with an internal owner who can answer architecture questions in real time, so early weeks go toward understanding your system rather than waiting on access.
  • Days thirty one through sixty: Assign a contained but real piece of work, such as a fee estimation improvement or a Script based spending condition, that ships to production under normal review, giving both sides concrete evidence of how the developer performs against your actual codebase rather than a sandbox task.
  • Days sixty one through ninety: Expand ownership to a full feature or a defined slice of the roadmap, confirm the developer or pod can operate independently within your existing code review and deployment process, and formally review whether the engagement should scale into a larger pod.

Making the Right Hiring Decision

Red Flags and Green Flags to Watch For

Technical interviews reveal more than any resume. Watch for these signals before you make a final call.

Red flags:

  • They describe Bitcoin work only in generic blockchain terms, without mentioning the UTXO model, Bitcoin Script, or specific tooling such as BDK or bitcoinjs lib, which usually signals surface level exposure rather than hands on protocol experience with real production systems.
  • They cannot explain how fee estimation actually works in a live system, or suggest hardcoding a fixed fee rate, which reveals a lack of real world deployment experience since production Bitcoin applications must handle dynamic, mempool driven fee conditions.
  • They treat Lightning Network integration as an afterthought or claim it works identically to a base layer transaction, missing the fundamental differences around payment channels, HTLCs, and channel liquidity management that any experienced developer would raise unprompted.
  • They cannot walk through key management or seed phrase handling under BIP standards in concrete detail, which is a serious concern given how much of Bitcoin development depends on getting wallet security fundamentals right the first time.

Green flags:

  • They can explain, unprompted, why Bitcoin's UTXO model changes how balances, change outputs, and transaction construction work compared to an account based system, showing they have actually built against it rather than read about it secondhand.
  • They reference specific tooling by name, such as Bitcoin Core's RPC interface, BDK, or python bitcoinlib, and can describe tradeoffs between them, which signals real implementation history rather than memorized terminology pulled from documentation.
  • They ask sharp questions about your project's scope, such as whether you need custody, Lightning support, or Taproot compatible signing, before offering a solution, showing they think in terms of your system rather than a generic template.
  • They discuss fee estimation, mempool behavior, and confirmation targets naturally as part of describing past work, demonstrating operational experience running real systems rather than only theoretical protocol knowledge learned in isolation.

Why Partnering with SoftDoes Gives You an Edge

SoftDoes gives you immediate access to pre vetted senior developers with real Bitcoin experience, without the long search and screening cycle a standalone hire usually requires. You get a team delivery model rather than an isolated freelancer, meaning code review, knowledge sharing, and continuity are built in from day one instead of depending on a single point of failure. Engagements scale from a single specialist to a full pod as your roadmap grows, backed by replacement and scaling guarantees that protect your timeline if a fit is not right. If your needs extend into wider blockchain work, our blockchain development talent follows the same vetting standard.

Ready to Hire Bitcoin Engineers?

If you are ready to move past generic blockchain hires and bring in developers who actually understand Bitcoin Script, the UTXO model, and production grade Lightning integration, SoftDoes can put a vetted specialist or full pod in front of you quickly. Schedule a consultation with our team to walk through your project scope, timeline, and the engagement model that fits, and get a clear plan for hiring Bitcoin talent without wasting budget on the wrong fit.

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