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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.
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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
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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
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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.
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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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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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Boris 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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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
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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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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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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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FR 🇫🇷English (C1)Senior
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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.

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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.
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GT 🇬🇹English (C1)Senior
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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.
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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.

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.
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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.
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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 Press Release Writers can build

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How to hire a Press Release Writer

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 Press Release Writer through SoftDoes?

Freelance writing marketplaces typically report lead times of two to three days to identify a candidate, but onboarding and ramping to full productivity takes 30 to 90 days. SoftDoes compresses this timeline significantly through our prescreened talent network and structured onboarding protocol. Because our writers are already vetted for domain expertise, technical depth, and communication ability, you can move from initial discovery to a deployed, producing writer in a fraction of the time a traditional recruitment cycle requires. Our 30/60/90 day milestone framework ensures the writer is delivering measurable value from the first month.

What does it cost to hire a Press Release Writer?

Costs vary by engagement model and seniority. Experienced freelance press release writers typically charge $50 to $93 per hour, while a standard professional press release project ranges from $125 to $1,500 per release depending on complexity and industry. In house senior roles in technology or regulated industries may command $100,000 to $150,000 or more annually when you factor in benefits and domain expertise. Agency retainer models can run thousands per month. SoftDoes offers flexible engagement structures, from project based work to dedicated hires, that let you match investment to your announcement cadence and budget without overcommitting to fixed overhead.

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

SoftDoes supports multiple deployment models tailored to your operational needs. A dedicated hire gives you a full time, embedded press release writer with deep institutional knowledge and consistent voice. A pod model pairs a senior writer with complementary talent (such as a content strategist or media relations specialist) for broader coverage. A contract or fractional model provides on demand access to senior talent for companies with variable announcement schedules. You can also combine models, using a dedicated in house lead supplemented by contract writers for high volume periods or specialty topics like crisis communications or regulatory disclosures.

How do you ensure time zone alignment with a Press Release Writer?

For US and Canada based enterprises, time zone alignment is critical, especially when sensitive announcements, embargoes, or product launch timing require real time collaboration. SoftDoes prioritizes talent in overlapping North American time zones and establishes core collaboration hours as part of the onboarding protocol. For asynchronous workflows, we build structured handoff processes so that drafts, reviews, and approvals flow without bottlenecks regardless of coast differences. Senior writers understand the urgency of reactive or breaking news situations and maintain capacity for after hours coordination when required.

How does SoftDoes technically vet a Press Release Writer?

Our vetting process goes far beyond portfolio review. We evaluate candidates through live problem solving exercises where they draft headlines, ledes, and first paragraphs from ambiguous technical briefs, testing judgment of newsworthiness rather than trivia. We run scenario architecture reviews where candidates map how a release integrates with SEO strategy, media outreach, press release distribution, and measurement. We assess communication under pressure by simulating tight deadlines with late arriving technical reviews or legal conflicts. We verify domain expertise through comprehensive research into past work, checking claims for accuracy, evaluating AP style adherence, and confirming measurable outcomes from previous releases. Cross functional culture fit assessment ensures the writer can navigate competing stakeholder priorities without friction.

What happens if the Press Release Writer isn't the right fit, or I need to scale up or down?

SoftDoes provides a zero risk replacement guarantee. If the writer does not meet performance expectations or cultural fit requirements, we replace the talent at no additional cost. Our flexible engagement model also allows you to scale up during high volume periods, such as multiple product launches or a funding round, and scale down when your announcement cadence normalizes. You are never locked into a rigid headcount commitment. This flexibility, combined with our deep bench of skilled press release writers, means you maintain consistent quality and velocity regardless of how your needs evolve.

The Executive Guide to Hiring a Press Release Writer

Most press releases vanish without a trace because the person who wrote them was the wrong hire. A single misframed product launch or botched funding round announcement can stall pipeline momentum, erode credibility with journalists, and cost your organization weeks of recovery. This playbook delivers a field tested strategy to define, vet, and onboard top tier press release writer talent, built from real world lessons so you stop gambling on generic writers and start deploying senior communicators who actually move the needle.

What a Bad Press Release Hire Actually Costs You

What Separates Senior Press Release Writer Talent from Order Takers

When you hire a press release writer, you are not filling a content seat. You are deploying a strategic communications asset. The gap between a senior professional press release writer and a commodity order taker shows up in daily operational reality:

  • They own the message strategy end to end. They do not passively accept a brief. They push back on timing, framing, and newsworthiness to ensure every release earns media pickup rather than collecting dust on a wire.
  • They manage competing tradeoffs simultaneously. Legal review requirements, brand voice constraints, technical accuracy for AI or cloud infrastructure claims, executive positioning, and journalistic readability all collide in a single document. Senior release writers navigate that tension without slowing you down.
  • They design the news system, not just the document. A skilled press release writer maps how one announcement seeds earned media coverage, search engine optimization lift, thought leadership, investor confidence, and AI visibility across distribution channels.
  • They anticipate reputational and compliance risk. Before you ask, they flag language that could trigger regulatory scrutiny, analyst skepticism, or legal exposure, especially around sensitive announcements in healthcare, finance, or AI.
  • They measure what matters downstream. They track branded search uplift, backlinks, referral traffic, and conversion lift rather than counting raw impressions. Approximately 71% of businesses cannot accurately measure press release performance, and senior talent closes that gap.
  • They iterate and improve process over time. Headline benchmarks, style guides, templates, and data from past news releases feed a continuous improvement loop that compounds ROI quarter over quarter.

Finding the right press release writer impacts media coverage success because 72% of journalists value press releases highly as a source for stories. The question is whether your writer knows how to earn that attention or simply formats text in Microsoft Word and hits send.

The Business Case: Financial and Operational Impact of the Right Hire

Investing in senior press release writing talent is not a discretionary line item. It is a force multiplier across four critical ROI vectors:

  • Reduced messaging debt. A poorly worded release with vague metrics or overpromises forces retractions, corrections, and damage control. Senior writers prevent that technical debt before it accrues, saving legal hours and executive cycles.
  • Faster launch velocity. With a professional press release writer embedded in your workflow, you compress the cycle from product conception or funding round closure to public announcement. Fewer revision loops, fewer escalations, faster time to market.
  • Amplified SEO and AI discoverability. Well optimized press releases generate significantly more website traffic, impressions, and leads. Releases structured with authoritative facts and keywords increasingly get cited by AI platforms and search engine results, making them long tail discovery assets. A real world case study showed a mid sized SaaS company spending roughly $650 on distribution and writing generated 142 backlinks, approximately 78% lift in organic traffic, 34 qualified leads, and over $48,000 in pipeline within 60 days.
  • Risk mitigation for high stakes announcements. In regulated industries, incorrect claims in a release can trigger compliance consequences or litigation. Senior writers ensure full vetting of claims, executive quotes, and data references before anything reaches media outlets.

Quality press releases can significantly boost brand visibility, and professional writers ensure clarity and credibility in every announcement. Hiring the right writer also saves your executive team time for more important tasks than wordsmithing drafts through endless approval loops.

How to Prepare Before You Start the Search

Auditing Your Technical Constraints Before Posting a Role

Before you write a job spec or contact a single candidate, you need a clear picture of what is broken and what infrastructure exists to support a new hire.

What Problem Must This Hire Solve First?

Map your current announcement flow. Who initiates a release? Who writes, who reviews, who handles legal review, who approves, who distributes? Where are the bottlenecks? Inventory the pain from prior releases: delayed sign offs, unclear messaging, low media pickup, headlines that fell flat, zero measurement, or messages that did not align with technical reality. If you operate in a regulated industry or make AI and ML claims, document the compliance constraints and NDA requirements that any writer will need to navigate. Audit your infrastructure: do you have media lists, accounts with press release distribution services like Business Wire or PR Newswire, monitoring dashboards, or analytics? If not, the hire must own building or optimizing those systems.

Embedded Specialist or Dedicated Pod?

Define the operating model before you search. Is this a full time role embedded under your communications or marketing function? Or a remote freelance writer providing part time support? Will the press release writer also handle content marketing deliverables like thought leadership articles, whitepapers, or blog posts? Or is the scope purely press releases and media exposure? Most critically, will the writer have authority to push back on release content, wording, and timing, or are they simply executing drafts with no strategic voice? The answer shapes the caliber of candidate you need.

In House FTE Friction vs. Vetted Dedicated Remote Talent

Each deployment model carries distinct tradeoffs. In house FTE gives you institutional memory, faster alignment, and tighter oversight, but the cost is higher (salary plus benefits), hiring is slower, and bandwidth is fixed. Freelance or contract talent offers flexibility, lower fixed cost, and speed, but risks inconsistent voice, limited ownership, and potential gaps in domain expertise. Freelance writers often charge less than agency staff writers, but you sacrifice continuity. A hybrid model pairs a senior in house lead with supplemental contracted writers for volume or specialty topics. The right model depends on your announcement cadence, industry complexity, and how much control you need over the message.

Engineering the Ideal Candidate Profile, Not a Generic Job Spec

Stop writing job descriptions that read like a list of tools. Engineer a profile around four components:

  • Core outcome and mission. Example: "Ensure all product launch press releases, partnership announcements, funding announcements, and regulatory updates are communicated in a way that maximizes credible media coverage, SEO lift, and audience trust."
  • Technical stack reality. What domain knowledge is required? AI and ML? Cloud infrastructure? Financial regulation? Healthcare compliance? Does the writer need to synthesize data, charts, and metrics from engineering teams into newsworthy content? Industry experience is important for understanding specific vernacular and regulations.
  • Decision making authority. What decisions will they make without escalation? Content approvals, headline selection, embargo timing, editing or rejecting executive quotes? Define this upfront so strong candidates self select.
  • Growth trajectory. Can this person grow into managing media strategy, crisis communications, analyst relationships, or internal communications leadership? Include quantitative expectations: number of releases per quarter, targets for media pickup, traffic lift, branded search growth, and lead origin attribution.
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The Vetting and Onboarding Playbook

A Battle Tested Framework for Evaluating Press Release Writers

Where to Actually Find Senior Talent

Traditional recruiters rarely have deep networks of writers with niche tech or regulated industry experience. Content marketplaces connect businesses with vetted professional journalists and copywriters, and freelance platforms allow users to browse verified portfolios and read reviews. Specialized writing networks and talent partners with domain expertise often surface stronger candidates faster. Assess the market honestly: senior PR writers with regulated industry exposure are in high demand, and rates reflect that. A standard professional press release typically costs between $125 and $1,500 per project, while experienced freelance press release writers command $50 to $93 per hour. In house senior roles in tech may command $100,000 to $150,000 or more depending on region and domain depth.

The Technical Evaluation Pipeline

Forget trivia. Test for judgment.

  • Live problem solving. Give candidates ambiguous data or a technical spec and ask them to draft a headline, lede, and first paragraph. Evaluate how they choose what is newsworthy, how they simplify without distorting truth, and whether they follow AP style for consistency and credibility. Most press releases are between 300 and 500 words, and the first paragraph should answer who, what, when, where, and why using the inverted pyramid format. Effective press release writers will provide samples showing strong headlines and clear formatting.
  • Scenario architecture review. Present your pipeline and ask how they would tie a release to SEO, social, trade press outreach, distribution channels, AI and LLM discoverability, and measurement. A good press release writer designs the system, not just the document. Writers should also clarify whether they handle both writing and media pitching.
  • Communication under pressure. Simulate a scenario where a release deadline is tight, technical review comes late, or legal conflicts with engineering on language. Standard turnaround for press releases is usually 24 to 48 hours, so assess how the candidate manages that velocity without sacrificing accuracy.
  • Cross functional culture fit. Press release writers mediate between executives, marketing, product, and legal. Test their ability to negotiate tradeoffs, understand stakeholder incentives, and maintain composure when competing priorities collide.

The First 90 Days: A Frictionless Ramp Up Protocol

Hiring is only half the battle. The onboarding runway determines whether your investment pays off or stalls.

  • Days 1 through 30: Foundation. The writer gets grounded in your product, existing tone and style, stakeholder map, and approval workflows. They execute two smaller releases or newsworthy announcements to build trust and demonstrate storytelling skills. They build out (or refine) your style guide, media list, and tool access. Press releases should be sent to newspapers, blogs, and podcasts, so distribution infrastructure must be in place.
  • Days 31 through 60: Ownership. The writer takes ownership of larger, cross department announcements, manages review workflows independently, and begins measuring outcomes of past releases. They propose improvements to process, headline strategy, and distribution. A strong press release includes a compelling headline, subheadline, and executive quotes. The seven parts of a press release include headline, lead, body, and quotes.
  • Days 61 through 90: Full autonomy. The writer owns the process end to end: drafting, editing, distributing releases with minimal oversight, and demonstrating measurable improvements in media coverage, traffic, or earned media value. They refine and document best practices that the organization can scale. Product launch press releases, funding announcements, crisis communication press releases, event press releases, and executive hire announcements should all flow through a consistent, repeatable system.

How to Make the Final Hiring Decision

Interview Signals: Red Flags vs. Green Flags

After running candidates through your vetting framework, calibrate your final decision against these signals.

Red Flags:

  • Tool obsession over substance. The candidate talks extensively about newswire services, SEO plugins, or formatting but cannot articulate what makes a story newsworthy or how to drive traffic from a release. Knowing AP style and wire services is table stakes, not a differentiator.
  • Inability to discuss past failures. If every release in their portfolio succeeded and they have never had a misfire, pushback from legal, or a release that fell flat, they lack the critical thinking and self awareness you need for high stakes work.
  • Domain blindness masked by polish. Beautiful writing that cannot handle the complexity of your industry, whether AI, cloud, finance, or healthcare, is a liability. A journalistic background enhances the quality of press release writing, but only if paired with genuine industry knowledge.
  • Over reliance on outsourced models with no ownership. If the candidate's answer to every challenge is "we would outsource that" or "the agency handled distribution," they are not equipped to own your messaging end to end.

Green Flags:

  • Pragmatic tradeoff analysis. When presented with conflicting objectives, such as speed vs. accuracy or brevity vs. completeness, they articulate a clear decision framework and explain why.
  • Focus on data, measurement, and system integrity. They track not just impressions but downstream outcomes: branded search lift, backlinks, conversion, and pipeline attribution. Experienced writers understand media dynamics and audience needs at a level that translates into measurable business outcomes.
  • Proactive risk identification. Before you ask, they point out inconsistencies in messaging, questionable technical claims, or language that could invite legal or regulatory scrutiny. Judgment of newsworthiness is crucial for crafting impactful press releases.
  • Clarity under complexity. They can translate dense technical material into narratives that resonate with both trade publications and mainstream media platforms without distortion. Understanding the industry ensures writers can target appropriate journalists and publications. SEO knowledge is necessary for integrating keywords into press release content to improve search rankings and drive more website traffic.

Why SoftDoes Is the Strategic Advantage You Need

Most hiring processes for press release writers follow the same broken pattern: post a generic job spec, sift through hundreds of applicants, run a few interviews, and hope for the best. That approach burns weeks and delivers mediocre results.

SoftDoes eliminates that risk. As a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada, we bring an engineering led approach to talent deployment that traditional recruiters cannot match. Our services are built around battle tested senior talent who have operated in high stakes environments, not unmanaged freelancers cycling between gigs. We provide engineering led delivery oversight, ensuring your press release writer integrates seamlessly into your workflows and meets the technical bar your announcements demand. Our rapid deployment capability means you are not waiting months to fill a critical role. You get the flexibility to scale up or down as your announcement cadence changes, and our zero risk replacement guarantee means if the fit is not right, we replace the talent at no additional cost.

Whether you need a dedicated hire, a fractional specialist, or a writer embedded in a broader communications pod, SoftDoes matches you with skilled press release writers who understand your industry, your audience, and your velocity requirements. You can explore our talent network to see the caliber of professionals we deploy.

Your Next Step: From Playbook to Deployment

You now have the framework to define, vet, and onboard a press release writer who will protect your brand, accelerate your announcements, and deliver measurable ROI. The difference between executing this playbook internally and partnering with SoftDoes is speed, risk reduction, and guaranteed quality.

Book a technical discovery session with SoftDoes architects. We will audit your current announcement pipeline, map the ideal candidate profile to your constraints, and present vetted senior talent ready to deploy. Stop losing momentum to bad hires and start turning every release into a strategic business asset.

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