Hire Viper Developers With U.S. Support
Hire Viper Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.
Senior Viper Engineers
Only vetted developers with 5+ years of experience.
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Delivery Team Included
We provide a complete delivery team to ensure results.
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Discover developers that match your project requirements.No exact match for this specialty yet — here are related experts from our network.
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.
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.
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.
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.
10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.
AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.
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.
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.
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.
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.
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.
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.
What our Viper Developers
can build

Which Engagement Model Is Right For You?
Whether you need one engineer, ongoing delivery support, or a complete product team, we have an engagement model that fits.

Strengthen your existing engineering team with senior specialists who integrate seamlessly into your workflows while you retain full ownership of priorities, roadmap, and day-to-day management.
- Senior engineer(s) integrated into your team.
- Fast onboarding into your workflow.
- Flexible monthly engagement.
- Replacement guarantee if needed.
- Direct communication and full transparency.

Ideal for teams that need experienced engineers backed by technical leadership, ensuring faster onboarding, predictable execution, and consistent delivery without adding management overhead.
- Dedicated senior engineer(s).
- SoftDoes delivery oversight.
- Regular technical and delivery check-ins.
- Optional code reviews and QA support.
- Escalation management.
- Replacement support.
- Flexible team scaling.

Launch products faster with a ready-to-work cross-functional team that brings together the right expertise from day one, helping you scale without the complexity of hiring each role individually.
- Engineers, QA, Designers, PMs, Tech Leads - assembled to fit your project.
- Cross-functional collaboration.
- One engagement structure and one point of contact.
- Easy scaling up or down.
- Team continuity throughout the project.

Not sure which engagement model fits?
Or maybe you don't want to manage engineers at all.
- End-to-end project ownership.
- Dedicated Project Manager.
- Engineering, QA, Design, and Product expertise.
- Delivery planning and sprint management.
- Quality assurance throughout development.
- Transparent communication and regular progress updates.
- One accountable partner responsible for successful delivery.


Not sure which engagement model fits?
SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.
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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.
$14.5 /per hour
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Work with senior-level engineers through a clear and scalable engagement model built for modern teams. No hidden fees, long hiring cycles, or unpredictable outsourcing costs — just vetted talent, flexible collaboration, and full operational transparency from day one.
Whatever your Viper challenge, we've solved it before
Whether you're scaling your team, modernizing an application, or accelerating product delivery, our React engineers become an extension of your team from day one.
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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 quickly can SoftDoes deploy senior engineers with proven VIPER expertise?
In most cases we can present qualified candidates within days rather than months, because our senior iOS engineers have already been vetted against real production work in modular VIPER codebases. Once you approve a candidate, onboarding can begin almost immediately, without long notice periods or drawn out interview loops. The exact timeline depends on how specialized your needs are, for example a SwiftUI migration lead versus a strong module owner, but our goal is always the same: get a productive engineer committing to your repository quickly while the delivery oversight we provide keeps quality high from the very first sprint.
What pricing models and rates should we expect when hiring dedicated VIPER talent?
Pricing depends on seniority, team composition, and engagement length, so we scope it with you rather than quoting a generic rate card. Most clients choose a dedicated engineer or dedicated pod on a monthly basis, which gives predictable costs and full focus on your product. Larger initiatives such as a module by module migration can be structured around a defined scope and milestones. In every case, you pay for senior engineers with verified VIPER experience plus engineering led oversight, which typically costs far less than the recruiting time, ramp delays, and rework that come with a bad in house hire.
How is time zone overlap with North America handled for VIPER engineering teams?
We build every engagement around meaningful working hour overlap with your team in the US or Canada. Engineers align their schedules so that standups, code reviews, sprint planning, and incident response happen in real time rather than through overnight handoffs. That overlap matters especially in VIPER codebases, where module boundaries and protocol contracts often need quick live discussion to avoid inconsistent implementations. Our delivery leads also coordinate asynchronous documentation and pull request etiquette, so work keeps moving smoothly between overlapping hours and your internal engineers never feel like they are waiting on a distant, disconnected team.
What does your technical vetting methodology look like for VIPER expertise?
Our vetting is run by senior engineers, not keyword filters. Candidates work through live problem solving on realistic VIPER modules, including splitting an oversized Presenter, fixing retain cycles between layers, and restructuring inconsistent protocols. We review their reasoning on dependency injection, Swift Package Manager modularization, Router based navigation, and async work with Combine or Swift Concurrency. We also ask them to compare VIPER with alternatives such as MVVM with Coordinators, Clean Swift, RIBs, and TCA. Finally, we assess communication and collaboration, because a technically brilliant engineer who cannot explain tradeoffs to product leaders will still slow your team down.
Who owns the intellectual property produced by engineers working on our VIPER systems?
You do. Our agreements assign full ownership of all code, documentation, designs, and other work product created for your project to your company. Every engineer on the engagement is bound by confidentiality obligations, and access to your repositories and systems follows your own security policies. When an engagement ends or an engineer rotates off, the work stays with you, along with the documentation and module conventions they produced. This clarity matters for investors, acquirers, and auditors, and it means you can scale your VIPER team through SoftDoes without creating any ambiguity about who owns your core product assets.
How flexible are your contracts if our VIPER project scope or team size changes?
Flexibility is built into how we work. Roadmaps change, migrations expand, and priorities shift after funding rounds or product pivots, so our contracts let you scale your team up when a big initiative lands and scale it down when the work stabilizes. Adding a specialist for a SwiftUI migration or reducing a pod after a major release is a planning conversation, not a legal battle. If an engineer is not the right fit, our zero risk replacement guarantee means we swap them quickly, protecting your delivery timeline without forcing you to restart a lengthy hiring process from scratch.
The Executive Guide to Hiring VIPER Expertise
A wrong hire on a large VIPER codebase rarely fails loudly. It fails slowly: Presenters bloat, module boundaries drift, memory leaks slip into production, and your roadmap stalls while senior people clean up after someone who only looked good on paper. A slow hiring pipeline costs you the same way, in features that never ship and engineers who burn out covering the gap. The right senior iOS engineer, by contrast, starts paying back inside the first sprint. This playbook gives you a field tested strategy to define, vet, and integrate top tier talent skilled in VIPER without gambling your release schedule on it.
Why VIPER Hiring Decisions Hit the Bottom Line
What Real VIPER Seniority Looks Like Beyond the Five Letters
Anyone can recite View, Interactor, Presenter, Entity, and Router. Senior VIPER engineers are defined by what they protect: delivery speed, app stability, and a codebase that still scales when your team doubles. Here is what that looks like day to day.
- Owning module boundaries across the whole app. A senior engineer keeps every screen split cleanly between View, Presenter, Interactor, Entity, and Router, and enforces those contracts consistently. Inconsistent boundaries are where large VIPER apps quietly rot, so this ownership directly protects your ability to ship features in parallel.
- Keeping Presenters lean and business logic where it belongs. Massive Presenters are the classic VIPER failure mode. Strong engineers push formatting into Presenters, business rules into Interactors, and navigation into Routers, so no single class becomes a bottleneck that every bug fix and feature request has to fight through.
- Designing protocol driven layers that are genuinely testable. Because VIPER modules talk through protocols, every layer can be mocked. Senior talent uses that to build high unit test coverage on Presenters and Interactors, which turns regression risk into a predictable, automated safety net instead of a manual QA scramble before every release.
- Hunting retain cycles and memory leaks between layers. References between View, Presenter, and Router create easy opportunities for retain cycles. Experienced engineers know exactly where weak references belong, profile memory proactively, and catch leaks before they surface as crashes, sluggish screens, and painful one star reviews in the App Store.
- Running dependency injection and modularization at scale. Senior VIPER engineers wire dependencies cleanly, split features into Swift Package Manager modules, and keep build times under control. That structure lets many developers work in parallel without stepping on each other, which is the entire reason large teams adopted VIPER in the first place.
- Managing the UIKit to SwiftUI transition without breaking production. VIPER was built around UIKit, while SwiftUI fits more naturally with MVVM or The Composable Architecture. Senior talent plans hybrid codebases and module by module migration, so you modernize steadily instead of betting the product on a risky full rewrite.
Where Deep VIPER Mastery Pays for Itself
- Technical debt reduction. A senior engineer stops the slow decay of module boundaries and bloated Presenters before it compounds. Every module refactored back into clean VIPER structure lowers the cost of the next feature, shortens onboarding for new hires, and keeps your team spending time on product work rather than archaeology.
- Faster, safer release cycles. Protocol based layers and strong test coverage let your team ship with confidence. When Presenters and Interactors are covered by fast unit tests, release candidates move through review quicker, hotfixes become rarer, and your mobile app development roadmap stops slipping every quarter.
- Parallel delivery across larger teams. VIPER exists to let many engineers work side by side without collisions. Senior talent who enforces consistent module assembly and code generation templates such as Generamba unlocks that parallelism, so adding headcount actually increases output instead of multiplying merge conflicts and coordination overhead.
- Stability that protects revenue and ratings. Memory leaks, retain cycles, and navigation bugs translate directly into crashes and churn. Engineers who understand VIPER deeply eliminate those failure modes at the architecture level, protecting conversion funnels, subscription revenue, and the store ratings that drive organic acquisition for your app.
Groundwork Before You Open a Single Requisition
Audit Your iOS Constraints Before You Write the Job Post
Most failed VIPER hires trace back to a fuzzy problem statement. Before you talk to a single candidate, get brutally specific about what your codebase needs and how the new engineer will operate inside your team.
Name the Architectural Bottleneck First
Start with the systemic problem, not the job title. Is your VIPER codebase suffering from Presenters that grew into thousand line classes? Are module boundaries inconsistent because three generations of engineers each interpreted the pattern differently? Are retain cycles causing memory pressure on older devices? Or is the real challenge a pending SwiftUI migration that needs a hybrid strategy? Each of these demands a different profile. A refactoring specialist, a performance focused engineer, and a migration architect are not interchangeable. Write down the single bottleneck the hire must remove first, and let that drive every downstream decision in your search.
Decide Between an Embedded Specialist and a Dedicated Pod
Next, define how much autonomy the role carries. An embedded VIPER specialist joins your existing iOS team, raises the bar on code review, and coaches others on module discipline. This works when you already have product direction and a functioning release process but lack architectural depth. A dedicated delivery pod is a small self managed unit, typically senior iOS engineers plus QA and a delivery lead, that owns a feature area or migration end to end. Pods fit when your internal team is stretched thin or when the work is large enough to deserve its own ownership, cadence, and accountability.
Weigh In House Hiring Against Vetted Remote Talent
Finally, be honest about the deployment model. Hiring a full time senior iOS engineer in house means months of sourcing, interview loops, competing offers, and notice periods, all before a single commit lands. Then you carry the full risk if the fit is wrong. Vetted dedicated remote talent compresses that timeline dramatically, because the screening has already happened against real production work. You also gain the flexibility to scale up during a migration and scale down afterward. For most companies, the smart move is a blend: a small permanent core plus a trusted partner for capacity and specialized depth.
Build an Outcome Profile Instead of a Keyword Checklist
- Core outcome and mission. Define the result, not the tasks. For example, cut Presenter complexity in the checkout flow, migrate three onboarding modules to SwiftUI, or stabilize memory usage on legacy screens. A mission statement like this filters out candidates who can talk about VIPER but have never fixed a real codebase.
- Technical stack ecosystem. Spell out the surrounding environment: UIKit versus SwiftUI ratio, Combine or Swift Concurrency for async work, Swift Package Manager modularization, dependency injection approach, and code generation templates. Candidates should map their experience to your actual stack instead of to a generic list of iOS buzzwords and frameworks.
- Decision making authority. Clarify whether this engineer can redefine module boundaries, choose between VIPER, MVVM with Coordinators, or TCA for new features, and block merges that violate architecture rules. Senior talent without authority becomes an expensive commentator; authority without clear scope creates turf wars inside your existing iOS team.
- System impact. Describe how the role touches the wider business: release cadence, crash rate, build times, test coverage, and how many engineers depend on the modules this person will own. That framing attracts candidates who think in systems and tells you quickly who understands the stakes of the role.

Let’s Turn Your Idea into Scalable Software
Book a call with the representative to get answers to all the questions you may have.
Vetting and Onboarding Without Wasting a Quarter
A Vetting Framework That Exposes Real VIPER Experience
Credentials and interview polish tell you almost nothing about how someone handles a large VIPER codebase under deadline pressure. Your vetting process has to recreate that pressure honestly and measure judgment, not memorization.
Where Strong Candidates Actually Come From
Traditional recruiters screen for keywords. A resume that mentions VIPER, Swift, and UIKit sails through, even if the candidate only built two screens following a tutorial. That is how you end up interviewing dozens of people to find one who has actually maintained a modular codebase with hundreds of screens. A pre screened engineering network flips the economics. Candidates in a curated talent network have already been evaluated by senior engineers against verified production experience, so your interview time goes toward fit and judgment instead of filtering out people who should never have reached your calendar in the first place.
An Evaluation Pipeline Built Around Real Work
Replace trivia with live problem solving on a realistic module. Hand the candidate a bloated Presenter and ask how they would split responsibilities across Interactor and Router. Run a scenario architecture review: show a VIPER module with a retain cycle and inconsistent protocols, then ask them to diagnose and fix it while explaining tradeoffs. Ask them to compare VIPER with Clean Swift, RIBs, MVVM with Coordinators, and TCA, and to say when the boilerplate pays for itself. Watch communication under pressure, and finish with a cross functional conversation involving product and design to confirm they collaborate rather than lecture.
A 90 Day Ramp Plan That Produces Commits, Not Excuses
- Days 1 to 30: access and first contributions. Grant repository, CI, and crash reporting access on day one. Pair the engineer with a module owner, assign a contained bug fix or small feature inside an existing VIPER module, and expect a production ready commit within the first two weeks. Momentum early sets the tone for everything after.
- Days 31 to 60: ownership of a module. Hand over full ownership of one meaningful feature area. The engineer should improve test coverage on its Presenters and Interactors, resolve any retain cycles they find, and document module conventions. By the end of this window, they should be reviewing teammates' pull requests with real authority.
- Days 61 to 90: architectural leverage. Now the hire should be removing the bottleneck you identified during the audit: splitting oversized Presenters, standardizing module templates, or leading the first SwiftUI migration slice. Measure outcomes against the profile you wrote, and confirm the engineer is raising the overall team standard, not only shipping tickets.
Making the Final Hiring Decision
Interview Signals That Separate Builders From Liabilities
Red flags
- Over engineering simple screens. A candidate who insists every static settings page needs five VIPER files and full protocol scaffolding is optimizing for purity, not delivery. That habit inflates your codebase, slows every sprint, and signals someone who cannot read business context before reaching for maximum structure.
- Tool obsession over business outcomes. If the conversation keeps circling back to their favorite templates, libraries, or patterns while they never mention release speed, crash rates, or user impact, expect a technically interesting engineer who struggles to connect daily work to what the business actually needs.
- Inability to explain past failures. Every experienced VIPER engineer has shipped a bloated Presenter or chased a retain cycle at the worst possible moment. Candidates who claim a spotless record either lack real exposure or lack self awareness, and both will cost you during the next production incident.
- Vague answers on memory management. VIPER's layered references make weak and strong ownership critical. A candidate who cannot clearly explain where retain cycles form between View, Presenter, and Router will eventually ship leaks that degrade performance and require senior time to trace and fix later.
Green flags
- Pragmatic tradeoff analysis. Strong candidates explain when VIPER's structure pays for itself and when MVVM or TCA would serve a feature better. They weigh boilerplate cost against team size and test needs, and they adapt the pattern to the product instead of forcing the product into the pattern.
- Focus on data and system integrity. Great engineers talk about clean Entities, predictable data flow from Interactor to Presenter, and guarding business rules behind well defined protocols. That instinct keeps state consistent across screens and prevents the subtle data bugs that erode user trust over time.
- Proactive risk identification. Look for candidates who volunteer risks before you ask: migration hazards in hybrid UIKit and SwiftUI codebases, build time growth from poor modularization, or navigation edge cases in Routers. This engineer protects your roadmap instead of reacting to fires after release.
- Deep command of VIPER edge cases. The best candidates know how to handle deep linking through Routers, async work with Combine or Swift Concurrency inside Interactors, and module assembly with dependency injection. Fluency with these edge cases is the clearest signal of genuine production experience at real scale.
Why Leaders Bring SoftDoes Into the Room
SoftDoes is a North America focused custom software engineering and data and AI partner serving clients across the US and Canada. We give you battle tested senior engineers with verified VIPER expertise, not unmanaged freelancers. Every engagement comes with engineering led delivery oversight, so architecture standards, code quality, and release cadence stay on track. We deploy fast, scale your team up or down as the roadmap shifts, and back every placement with a zero risk replacement guarantee. Whether you need one specialist or a full pod, you can hire iOS developers who already know how to protect a modular VIPER codebase from day one.
The Bottom Line and Your Next Move
Engineering execution is business performance, and in a large iOS product, the quality of your VIPER talent decides whether your roadmap accelerates or quietly stalls. Do not leave that to keyword screening and luck. Book a technical discovery session with SoftDoes solution architects, walk us through your codebase and constraints, and leave with a clear plan for the senior engineers who will remove your biggest bottleneck first.

















































