Hire Fastlane Developers With U.S. Support
Hire Fastlane Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.
Senior Fastlane Engineers
Only vetted developers with 5+ years of experience.
24h Candidate Match
Receive the first matching profiles within one business day.
Delivery Team Included
We provide a complete delivery team to ensure results.
Hire remote Fastlane Developer
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 Fastlane 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.
FIND THE
RIGHT expert, FASTER
Choose a role. Filter by technology.
Discover developers that match your project requirements.
Hire developers by role
Hire developers by tech stack
Hire developers by industry
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
- Personal Recruitment
- Payroll Management
- Time Management & Reports
- 24 Support
- Free Trial
Unbeatable Transparent Pricing Model.
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 Fastlane 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.
Great engineering talent, simplified.
Remote developers - interviewed, verified, and ready for you.
Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
How long does it typically take to hire developers with proven Fastlane expertise?
Through traditional recruiting, finding a senior engineer with real Fastlane experience can take several weeks to a few months, because the skill is usually hidden inside general mobile resumes and requires careful technical screening. Notice periods and relocation can stretch the timeline further. With a pre vetted partner like SoftDoes, the process is much shorter. We typically share a short list of relevant candidates within days, you interview only the people who match your stack and scope, and onboarding can begin soon after you choose. Urgent situations, such as broken signing before a launch, can often be staffed even faster.
What does it cost to hire a developer or team with deep Fastlane expertise?
Cost depends on seniority, engagement length, the size of the team and how complex your pipeline is. A focused engagement to rescue broken signing or set up CI for one app costs far less than an ongoing pod maintaining release automation across many white label builds. When comparing options, include the hidden costs of in house hiring, such as recruiting time, benefits, equipment and the risk of a bad hire. SoftDoes provides transparent rates after a short discovery call, where we review your apps, tooling and goals, then recommend the smallest team that can deliver the outcome reliably.
What engagement models are available for Fastlane projects, such as a dedicated hire, a pod, or a contract?
SoftDoes offers flexible models that match how release engineering work actually happens. A single dedicated specialist works well when you need ongoing pipeline ownership alongside an existing mobile team. A pod combines a Fastlane expert with mobile developers and QA, which suits greenfield setups, cross platform apps and larger portfolios. A fixed scope contract fits clear projects, such as migrating signing to match, moving to a new CI provider or automating screenshots. Many clients start with a focused project and then shift to a lighter maintenance arrangement once the pipeline is stable, and you can change models as needs evolve.
How do you ensure time zone alignment with a team skilled in Fastlane?
SoftDoes is focused on clients across the US and Canada, so we staff engineers who work with substantial overlap with your business hours. During discovery we agree on core collaboration windows, preferred communication channels and how releases are coordinated, especially around store submissions and launch days. Release engineering benefits from real time collaboration when something breaks, so we make sure your Fastlane specialist is available during the hours your team ships. We also document lanes and runbooks thoroughly, which means your developers can run releases confidently even when the specialist is offline, removing any single point of failure from the process.
How does SoftDoes technically vet developers for Fastlane expertise?
Our vetting goes well beyond keyword matching. Senior engineers on our side interview candidates about pipelines they have actually built, asking them to explain lane structure, secret management and code signing strategy in detail. Candidates complete practical exercises, such as designing a CI pipeline that ships to TestFlight and Google Play, or diagnosing a failing lane with a signing problem. We assess both iOS and Android delivery, including match, App Store Connect API keys, supply and staged rollouts. Finally, we evaluate communication and documentation habits, because a great Fastlane engineer must leave behind a setup the whole team can understand.
What support is available for scaling the team after launch as our Fastlane needs grow?
As your portfolio grows, SoftDoes can scale the team in either direction. If you add new apps, white label clients or a cross platform stack, we can bring in additional mobile engineers or QA who already understand your pipeline through shared documentation and handover from the existing team. If the pipeline stabilizes and needs only light maintenance, we can reduce the engagement to keep costs aligned with the workload. Replacement guarantees protect you if an engineer is not the right fit, and our delivery leads monitor quality continuously, so scaling changes never disrupt your release cadence or the stability of your builds.
How to Hire Developers Skilled in Fastlane
Most mobile teams discover their release process is fragile at the worst moment: a certificate expires the night before launch, a contractor who "knew Fastlane" leaves behind a Fastfile nobody understands, and shipping a build takes two engineers and a full day. The right hire turns that same process into a single command that tests, signs, builds and uploads your apps reliably, every time. This guide shows you how to define what you actually need, where to find proven Fastlane specialists, how to vet them beyond the resume, and how to onboard them so releases become boring again.
What Fastlane Really Does for Your Mobile Release Pipeline
How Fastlane Engineers Spend Their Day in Production
Fastlane is an open source tool suite that automates building, testing, signing and releasing iOS and Android apps. Engineers configure it in a Ruby based Fastfile, grouping steps into lanes such as test, beta and release, which then run on a laptop or inside a CI system. In practice, a strong Fastlane engineer owns tasks like these:
- Building reliable lanes for every release path. They design clear lanes for testing, internal beta and store release, using gym to build iOS apps and scan to run test suites. Each lane is readable, parameterized and safe to run by anyone on the team, so releases stop depending on one person's memory.
- Taming iOS code signing with match. They set up match to store certificates and provisioning profiles in a private Git repo or cloud storage, then pair it with App Store Connect API keys. This removes manual certificate juggling and the two factor login failures that regularly break unattended CI builds.
- Wiring Fastlane into your CI platform. They connect lanes to GitHub Actions, Bitrise, CircleCI, GitLab CI, Jenkins or Codemagic, configure macOS runners for iOS builds, manage secrets properly and cache dependencies. The result is a pipeline that runs on every merge without anyone babysitting a build machine late at night.
- Automating store delivery on both platforms. They use pilot to push builds to TestFlight, deliver to manage App Store metadata, and supply to upload Android bundles to Google Play. They also configure staged rollouts on Google Play and phased releases on the App Store to reduce the blast radius of bad builds.
- Generating screenshots and release assets automatically. With snapshot and screengrab they capture screenshots across many devices and languages, then frame and upload them in one run. This replaces days of manual design and upload work before each release and keeps store listings consistent across every supported locale.
- Managing versions, changelogs and white label builds. They automate version and build number bumps, generate changelogs from commit history, and structure Fastfiles so one codebase can produce many branded apps. This matters most for agencies and product companies maintaining several apps or white label variants from shared code.
Why Senior Fastlane Skills Pay Off for the Business
- Predictable, stable releases. When signing, building and uploading are fully automated, releases stop failing for reasons unrelated to your code. Expired certificates, missing profiles and broken manual steps disappear, so your team spends release day validating features instead of firefighting infrastructure problems that customers never see but always feel.
- Faster delivery cycles. A well built pipeline cuts the path from merged code to TestFlight or Google Play internal testing from days to minutes. Product managers get builds in front of testers sooner, feedback loops tighten, and your team can ship smaller, safer updates more often without adding headcount to the release process.
- Lower technical debt in your tooling. Aging Fastfiles copied between projects become a hidden liability that nobody wants to touch. A senior engineer consolidates shared logic, removes dead lanes and documents the setup, so future maintenance is cheap and new apps inherit a clean, tested release path from day one.
- A release process that scales with you. As you add apps, platforms, white label clients or cross platform stacks, a solid Fastlane architecture absorbs the growth. You avoid rebuilding release tooling from scratch every time the portfolio expands, and onboarding a new app becomes configuration work rather than a fresh engineering project.
Getting Ready Before You Open the Role
Clarify What Your Release Pipeline Actually Needs
Before writing a job post, spend an hour mapping your current release flow end to end. Note who builds the apps today, where signing assets live, which CI system you use, how long a release takes and what breaks most often. That map tells you whether you need a setup from scratch, a rescue of a broken pipeline, or ongoing maintenance across many apps. If the pipeline work is part of a larger app initiative, it often makes sense to scope it alongside broader mobile app development services so tooling and product work move together.
Scope the Pipeline and Its Architecture
Start by defining the scope precisely. Are you automating one native iOS app, a pair of native Swift and Kotlin apps, or a React Native or Flutter codebase where Fastlane handles the platform specific build and upload steps? List the distribution targets: TestFlight, App Store, Google Play tracks, enterprise channels. Decide where builds will run, whether on hosted macOS runners or your own hardware, and where certificates will be stored. Clarify whether you need screenshot automation, white label builds or phased rollouts. A crisp scope keeps candidates focused on the problems you actually have rather than impressive extras you will never use.
Match Seniority and the Surrounding Stack
Fastlane rarely lives alone, so think about the full skill set around it. A pipeline rescue after certificate expiry needs someone senior who understands Apple signing deeply, not a junior who has only run existing lanes. Greenfield setups also benefit from seniority, because early architectural choices are hard to undo. Look for complementary skills: Ruby for custom actions, Xcode build settings, Gradle for Android, and hands on experience with your CI provider. If your app is cross platform, the engineer must understand how React Native or Flutter projects produce native artifacts, since that is where most build failures actually originate.
Choose Between In House Hires and a Dedicated Remote Pod
Next, decide how the work should be staffed. A full time in house hire makes sense when release engineering is a permanent, heavy workload across many apps and you can afford a long recruiting cycle. For most companies, Fastlane work comes in bursts: an intense setup or rescue phase, followed by lighter maintenance. A dedicated remote pod fits that shape better. You get a senior specialist plus mobile engineers who share context, cover each other's absences, and can scale down once the pipeline is stable, without the overhead and risk of carrying an underused full time role.
What a Strong Fastlane Requirement Profile Includes
- The technical mission. State the concrete outcome, such as "release both apps to TestFlight and Google Play internal testing from every merge to main, with zero manual signing." A measurable mission tells candidates exactly what success looks like and filters out people who only want vague, open ended automation work.
- The ecosystem and tooling. Name your CI system, runner setup, repository host, signing approach and app stack. Mention whether you use match, App Store Connect API keys, React Native, Flutter or native code. Specific tooling helps strong candidates self select and lets you test real experience instead of familiarity with buzzwords.
- Team dynamics. Explain who the engineer will work with daily: mobile developers, QA, product managers, a platform team. Describe how releases are approved and who owns store listings. Fastlane specialists succeed when they can align several roles around one process, so communication expectations belong in the profile, not as an afterthought.
- System impact. Describe what the pipeline touches and what happens when it fails. Note how many apps, markets, languages and white label clients depend on it. This signals the stakes, attracts engineers who enjoy owning critical infrastructure, and justifies the seniority level and budget you are planning for 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.
Sourcing, Vetting and Ramping Up Your Fastlane Talent
How to Find and Test Real Fastlane Expertise
Where to Source Proven Candidates
Standard outbound recruiting for Fastlane is slow because the skill is usually buried inside broader mobile resumes. Keyword searches return thousands of iOS and Android developers who have run a lane once, and you spend weeks screening to find the few who have designed pipelines and fixed signing under pressure. Pre vetted networks shortcut this by tracking which engineers have actually delivered release automation in production. Drawing from a curated talent network with a proven Fastlane track record lets you interview a short list of relevant people within days, and spend your energy on fit rather than basic filtering.
Vetting That Goes Beyond the Resume
Ask candidates to walk through a Fastfile they built and explain their architectural choices: why lanes are split the way they are, how secrets are handled, how signing is shared. Then give a practical task, such as designing a pipeline that ships an app to TestFlight and Google Play from CI, or debugging a deliberately broken lane with a signing failure. Add constraints like limited macOS runner minutes or a certificate that just expired, and watch how they prioritize. Finally, assess collaboration: can they explain the setup clearly to a product manager and document it for the next engineer?
A 30, 60 and 90 Day Plan to Get Them Shipping
- First 30 days: access and audit. Grant access to repositories, CI, App Store Connect, Google Play Console and signing storage on day one. The engineer audits the current release flow, documents every manual step and pain point, and ships one quick, visible fix, such as stabilizing signing with match and API keys.
- Days 31 to 60: core pipeline delivery. The engineer builds or refactors the main lanes for testing, beta and release, connects them to CI, and automates version bumps and changelogs. Every merge should now produce a tested build in testers' hands, with the team reviewing lane changes through normal pull requests.
- Days 61 to 90: polish and handover. Add screenshot automation, staged rollouts and phased releases, then clean up legacy lanes. The engineer writes concise runbooks, trains the mobile team to run and extend lanes, and agrees on ownership for ongoing maintenance, so the pipeline never again depends on one person.
Choosing the Right Fastlane Partner With Confidence
Warning Signs and Strong Signals in Fastlane Interviews
Red flags
- Treats code signing as magic. If a candidate cannot explain certificates, provisioning profiles and how match keeps them in sync, they will struggle the first time something expires. Vague answers like "I just regenerate everything" signal someone who has followed tutorials but never owned a production signing setup.
- Hardcodes secrets in the Fastfile. Candidates who casually store passwords, API keys or keystore credentials in the repository are a security risk. Senior engineers use CI secret stores, environment variables and App Store Connect API keys, and they can explain exactly why those choices matter for your company.
- Only knows one platform. Someone fluent in iOS lanes but blank on supply, Gradle and Google Play tracks will leave half your pipeline manual. Unless you truly ship only iOS, look for comfort with both platforms and an understanding of how cross platform projects produce native builds.
- Cannot explain failures in CI. If a candidate has only run Fastlane locally, ask how they would debug a lane that passes on a laptop but fails on a macOS runner. Silence or guesswork reveals limited exposure to real pipelines, caching issues, keychain problems and the realities of unattended builds.
Green flags
- Designs lanes for other people. Strong candidates talk about readability, shared helpers, sensible defaults and documentation. They build Fastfiles so any mobile developer can run a release safely, which shows they think about the team and long term maintenance, not just getting one build out the door.
- Speaks fluently about signing strategy. They explain match storage options, read only access in CI, certificate rotation and the move to App Store Connect API keys without hesitation. This depth usually comes from rescuing broken pipelines, which is exactly the experience you want when deadlines are tight.
- Thinks in release risk. Senior engineers bring up staged rollouts on Google Play, phased releases on the App Store and quick rollback plans unprompted. They connect automation to business risk and understand that a fast pipeline is only valuable when it also protects users from bad builds.
- Shows multi app or white label experience. Candidates who have maintained Fastfiles across many apps or branded variants understand configuration management, shared lanes and scaling problems. That experience pays off immediately if your portfolio is growing, and it shows they can keep complexity under control as needs change.
What Makes SoftDoes a Stronger Choice Than Solo Hiring
SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. Instead of handing you an isolated freelancer, we deliver pre vetted senior engineers who already work as a team, so your Fastlane specialist sits alongside mobile developers, QA and delivery leads who share context from day one. That matters when your pipeline supports cross platform apps, and we can pair release automation with experienced React Native developers under one engagement. You also get replacement and scaling guarantees, plus flexible models ranging from a single specialist to a full pod, adjusted as your release needs evolve.
Let's Make Your Next Release Your Easiest One
If releases still depend on manual signing, a single person's laptop or a Fastfile nobody wants to touch, now is the time to fix it. Book a discovery call with SoftDoes and tell us about your apps, your CI setup and the problems slowing you down. We will outline a practical plan, recommend the right engagement model and introduce pre vetted Fastlane engineers who can start shipping reliable releases quickly.

















































