Hire Pcf Developers With U.S. Support
Hire Pcf Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.
Senior Pcf 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 Pcf 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 Pcf 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 Pcf 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 Pivotal Cloud Foundry expertise?
Through traditional recruiting, hiring a senior Pivotal Cloud Foundry engineer often takes several months, because the talent pool is small and many candidates have only surface experience with the platform. Screening out people who have never run BOSH, handled an upgrade or migrated workloads eats up most of that time. With SoftDoes, the timeline is much shorter because our engineers are already vetted on real PCF and Tanzu Application Service work. In most cases we can present matched profiles within days and have an engineer or pod working on your estate within a few weeks, depending on your onboarding and security requirements.
What does it cost to hire a developer or team with deep Pivotal Cloud Foundry expertise?
Cost depends on seniority, scope and engagement model. A platform engineer who can own BOSH upgrades and Ops Manager configuration costs more than an application developer who mainly supports Spring Boot apps, and a full migration pod costs more than a single specialist. Senior PCF talent is scarce, so in house salaries are usually high and searches are long. Working with SoftDoes gives you predictable monthly pricing, no recruiting fees and no idle bench time. We scope the engagement around your actual goals, whether that is stabilization, an upgrade or a migration, so you pay for outcomes rather than headcount.
What engagement models are available for Pivotal Cloud Foundry projects, such as a dedicated hire, a pod, or a contract?
SoftDoes offers three main options. A dedicated engineer joins your team full time and works inside your processes, which suits companies that need ongoing platform support or extra capacity on an existing team. A pod brings a small cross functional unit, typically a platform engineer, application engineers and a lead, which works well for upgrades and migrations with a clear scope. A project contract covers a defined deliverable, such as an estate audit or a migration plan, with agreed milestones. You can move between models as your needs change, for example starting with an audit and then adding a pod.
How do you ensure time zone alignment with a team skilled in Pivotal Cloud Foundry?
SoftDoes focuses on clients in the US and Canada, so we build teams that overlap meaningfully with your working hours. Before an engagement starts, we agree on core collaboration hours, standup times and how quickly engineers respond during incidents. For platform work this matters a great deal, because upgrades and maintenance windows often run in the evening or at weekends, and your engineers need to be available when your change windows open. We also set clear handoff routines and shared documentation so nothing is lost between your internal staff and our engineers, regardless of where each person is located.
How does SoftDoes technically vet developers for Pivotal Cloud Foundry expertise?
Our vetting goes well past keyword matching. Senior engineers interview each candidate on real platform operations, including how they staged and rolled back a BOSH upgrade, how they size Diego cells and structure orgs, spaces and quotas, and how they handle service bindings through VCAP_SERVICES. Candidates then complete practical tasks, such as debugging a failing deployment or designing the migration of a Spring Boot app to Kubernetes with Cloud Native Buildpacks. We also assess communication, documentation habits and how clearly they explain risk. Only engineers who show genuine hands on depth across the platform join our talent network and reach your shortlist.
What support is available for scaling the team after launch as our Pivotal Cloud Foundry needs grow?
Your needs will change as the project moves forward. An upgrade may reveal technical debt worth fixing, or a cost review may trigger a migration that requires Kubernetes skills alongside platform expertise. SoftDoes can add engineers to your existing pod, bring in specialists for containerization, observability or security, and reduce the team once a phase ends. Our replacement guarantee means that if an engineer is not the right fit, we provide a qualified replacement quickly and handle the knowledge transfer. Your account lead reviews team composition with you regularly so the team stays aligned with your roadmap and budget.
How to Hire Developers Skilled in Pivotal Cloud Foundry
Picture the usual outcome: you hire an engineer whose resume lists Pivotal Cloud Foundry, and within a month a routine platform upgrade stalls, service bindings break, and your Spring Boot apps sit in a crash loop while licensing renewal looms. Now picture the alternative: a specialist who keeps your PCF estate stable, upgrades it on schedule, and plans a clean exit path to Kubernetes when the numbers say so. This guide shows you how to define the role, where to source Pivotal Cloud Foundry talent, how to vet real platform depth, and how to onboard engineers so they ship production ready work quickly.
What Pivotal Cloud Foundry Really Does for Your Business
How PCF Engineers Spend Their Day in Production
Pivotal Cloud Foundry is the commercial Cloud Foundry platform from Pivotal, later rebranded as VMware Tanzu Application Service and now part of the Broadcom VMware portfolio. Most companies hiring for it today already run a mature estate. The work is about keeping that estate healthy, upgrading it safely, and moving apps elsewhere when it makes sense.
- Deploying and tuning applications with cf push. Engineers write and maintain app manifests, choose the right buildpacks for Java, Node.js, .NET, Python or Go, and set memory, instance counts and health checks so the platform routes traffic, scales instances and restarts failed containers without manual work.
- Operating the platform with BOSH and Ops Manager. Platform engineers use BOSH to deploy, patch and upgrade the virtual machines that run Pivotal Cloud Foundry, and Ops Manager to install and configure tiles. Getting this wrong means failed upgrades, unpatched vulnerabilities and long maintenance windows nobody can afford.
- Managing Diego cells and capacity. Application containers run on Diego cells. A skilled engineer watches cell memory and disk, plans capacity before peak traffic, and rebalances workloads so a single cell failure never takes down a critical customer facing service or batch job.
- Wiring services through VCAP_SERVICES. Apps bind to databases, RabbitMQ, Redis and Spring Cloud Services through environment variables. Engineers create and rotate service instances, debug binding failures, and make sure credentials never leak into code, logs or source control repositories.
- Supporting Spring Boot workloads. Spring Boot is the most common framework on PCF, usually with Spring Cloud Config and Service Registry. Engineers keep configuration centralized, keep service discovery reliable, and troubleshoot startup failures that only appear once an app lands on the platform.
- Governing orgs, spaces and quotas. Engineers structure orgs and spaces per team or environment, set quotas to stop one app from starving others, and manage roles so developers move fast while production stays locked down and fully auditable for compliance reviews.
Why Deep PCF Expertise Is a Strategic Priority
- System stability. Large banks, insurers and retailers standardized on Pivotal Cloud Foundry because it runs many apps predictably. That stability depends on people who understand BOSH, Diego and routing. Without them, small configuration drift turns into outages that are slow to diagnose and expensive to explain.
- Faster delivery cycles. When engineers know how buildpacks, manifests and service bindings fit together, developers push changes in minutes instead of waiting on tickets. Your teams spend their time on product features, not on chasing environment problems that a seasoned platform engineer would have prevented early.
- Lower technical debt. Many estates carry years of outdated buildpacks, unused service instances and inconsistent manifests. An expert cleans this up methodically, applies twelve factor principles, and leaves a platform that is cheaper to run, easier to audit and far simpler to migrate later.
- Control over licensing decisions. Broadcom licensing changes pushed many companies to rethink Tanzu Application Service costs. Engineers who know both PCF and Kubernetes give you real options: stay and optimize, migrate gradually, or move to Korifi, without betting the business on guesswork or vendor pressure.
Getting Ready Before You Open the Role
Know Exactly What You Need Before You Source PCF Talent
Before you write a job post, get clear on what your estate looks like, where it is headed, and who already supports it. A vague brief attracts generic cloud engineers, while a precise one attracts people who have actually run Pivotal Cloud Foundry under pressure.
Map Your Platform Scope and Architecture
Start with an honest audit. How many foundations do you run, on which infrastructure, and which version of PCF or Tanzu Application Service? List the tiles you depend on, the services bound to your apps, and how far behind you are on upgrades. Then decide the mission: keep the platform running, modernize it, or migrate off it. Each goal needs a different profile. A stabilization role leans on BOSH and Ops Manager skills, while a migration role needs Kubernetes, containerization and service replacement experience. Writing this down prevents hiring someone strong in the wrong half of the problem.
Set the Right Seniority and Supporting Skills
Pivotal Cloud Foundry rarely sits alone. Your engineers will touch Spring Boot, CI pipelines, monitoring, networking and the underlying cloud or vSphere layer. For platform ownership or a migration, hire senior people who have upgraded a foundation and moved real workloads, not people who only ran cf push. Pair them with mid level engineers for day to day app support. Look for Docker, Helm and Kubernetes on top of PCF skills, because that combination lets one person both run today's estate and plan where your apps go next without handing off context.
Choose Between In House Hires and Dedicated Remote Pods
An in house hire makes sense if PCF is core to your business for the long term and you can wait for a lengthy search. Many companies, though, need deep platform knowledge for a defined period, such as a major upgrade or a migration. A dedicated remote pod gives you a platform engineer, application engineers and a lead who already work together, so you skip months of team building. Pods also absorb turnover better, since knowledge lives in the team. Teams that want broader support can combine a pod with DevOps and cloud infrastructure services for pipelines and observability.
Writing a Requirement Profile That Attracts Real PCF Experts
- The technical mission. State the outcome in plain terms: upgrade three foundations without downtime, cut Diego cell costs, or migrate a set of Spring Boot apps to Kubernetes. A clear mission filters out generalists and tells strong candidates exactly what success looks like from day one.
- The ecosystem and tooling. Name the actual stack: Tanzu Application Service version, BOSH, Ops Manager, the tiles in use, Spring Cloud Services, your CI system, and any target platform such as EKS, AKS, GKE or OpenShift. Specific tooling lets experienced engineers judge fit quickly and honestly.
- Team dynamics. Explain who the engineer works with: application developers, security, a platform team, or an external partner. Say how decisions get made and who owns production. Engineers who will hold the pager need to know the escalation path and on call expectations before they ever apply.
- System impact. Describe what depends on the platform: payment flows, claims processing, internal tools or customer apps. Senior candidates want to understand the blast radius of their work. This also signals that you take reliability seriously, which attracts the careful engineers you actually want to hire.

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 Onboarding Your PCF Team
A Hiring and Vetting Process Built for Pivotal Cloud Foundry
Pivotal Cloud Foundry talent is scarce because the platform peaked inside large enterprises, and many experienced engineers have moved on. Your process has to find them and then prove their depth.
Where to Find Proven PCF Engineers
Standard outbound recruiting works poorly here. Keyword searches return anyone who once deployed an app to Cloud Foundry, and you spend weeks screening people with surface knowledge. Recruiters also struggle to tell a platform operator from an app developer. Pre vetted talent networks solve this by maintaining engineers who have already run PCF estates, completed upgrades or led migrations, and who have been tested on that experience. Tapping a curated talent network shortens the search from months to weeks and cuts the number of interviews your senior engineers must sit through, which protects their time for actual delivery work.
How to Test Skills Beyond the Resume
Ask candidates to walk through an upgrade they ran: how they staged it with BOSH, what broke, and how they rolled back. Probe architectural choices, such as how they would split orgs and spaces or size Diego cells. Then give a practical task: debug a failing cf push, fix a broken VCAP_SERVICES binding, or design the migration of a Spring Boot app to Kubernetes with Cloud Native Buildpacks and secrets. Add a constraint, like zero downtime or a frozen license budget, and watch how they reason. Finish with a culture conversation about ownership, documentation and communicating risk.
Your 30, 60 and 90 Day Onboarding Plan
- First 30 days: access and orientation. Grant access to Ops Manager, BOSH directors, the cf CLI, repositories and monitoring on day one. Walk the new engineer through each foundation, the tiles in use and recent incidents. Their first deliverable is a written map of the estate with risks clearly ranked.
- Days 31 to 60: first ownership. Hand over a contained piece of real work, such as a minor platform patch, a buildpack update across one space, or fixing flaky service bindings. Pair them with an internal owner, review changes together, and confirm they follow your change management and rollback procedures without being reminded.
- Days 61 to 90: full delivery. The engineer now owns a meaningful stream: a full foundation upgrade, a capacity plan for Diego cells, or the first wave of a migration. Set measurable goals, such as apps moved or incidents reduced, and agree on how they report progress to engineering leadership going forward.
Making a Confident Hiring Decision
Warning Signs and Strong Signals in PCF Candidates
Red flags
- Only knows cf push. The candidate deploys apps confidently but cannot explain BOSH, Ops Manager or Diego cells. That is fine for an app developer, but dangerous for anyone who will own platform upgrades, capacity planning or incident response on your production foundations.
- Vague about upgrades. Ask about a real upgrade and you hear general statements with no detail on staging, tile order or rollback. People who have done this remember what went wrong. Missing specifics usually means they watched someone else do the work.
- Credentials handled carelessly. Suggesting secrets go into manifests or code instead of service bindings or a vault is a serious concern. Pivotal Cloud Foundry exists partly to keep configuration out of apps, and ignoring that principle signals weak security habits across the board.
- Dismisses Kubernetes or dismisses PCF. Strong engineers see trade offs. A candidate who insists everything must move to Kubernetes immediately, or refuses to consider migration at all, will push your strategy toward their own comfort zone rather than toward your business needs.
Green flags
- Explains the platform end to end. They describe how a request travels through the router to a container on a Diego cell, how health checks trigger restarts, and how logs flow out. This systems view is what makes fast, calm incident diagnosis possible under real pressure.
- Shares concrete upgrade stories. They name versions, tiles, failures and fixes, and explain what they would do differently. Specific memories of painful upgrades are one of the most reliable markers of genuine senior experience with Tanzu Application Service in production.
- Knows both sides of a migration. They can map service bindings to Kubernetes secrets and operators, rebuild routing and autoscaling, and keep developer workflows familiar with Cloud Native Buildpacks. This means they can plan a migration that does not stall halfway through.
- Communicates risk clearly. They explain upgrade risk, license tradeoffs and migration costs in language a CTO or CFO understands. Engineers who translate platform details into business impact help you make better decisions and earn trust across teams quickly.
Why SoftDoes Gives You an Advantage
SoftDoes is a software engineering and talent delivery partner focused on North America, serving clients across the US and Canada. We give you immediate access to pre vetted senior engineers who have operated, upgraded and migrated Pivotal Cloud Foundry estates. You get a team delivery model, not isolated freelancers, so platform, application and migration skills work together from the start. When your roadmap points toward containers, our Kubernetes developers join the same pod. Replacement and scaling guarantees protect your timeline, and flexible engagement models let you start with a single specialist or a full pod and adjust as your needs change.
Ready to Bring PCF Engineers Onto Your Team?
Whether you need to stabilize an aging Tanzu Application Service estate, finish a stalled upgrade, or plan a measured migration to Kubernetes, the right engineers make the difference between a smooth project and a costly one. Schedule a discovery call with SoftDoes and tell us about your foundations, apps and goals. We will outline a team that fits your scope, your timeline and your budget, and introduce matched candidates quickly.

















































