Hire Service Oriented Architecture Developers With U.S. Support
Hire Service Oriented Architecture Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.
Senior Service Oriented Architecture Engineers
Only vetted developers with 5+ years of experience.
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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 Service Oriented Architecture 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.
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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 Service Oriented Architecture challenge, we've solved it before
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Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
How quickly can SoftDoes deploy senior engineers with proven Service Oriented Architecture expertise?
In most cases we can present pre vetted senior candidates within days rather than the months a traditional search typically takes. Because our engineers are already screened for production experience with SOAP services, enterprise service buses, REST APIs, and event driven systems, you skip the sourcing and early filtering stages entirely. Once you approve a candidate, onboarding begins immediately with access setup and a structured ramp up plan. Exact timing depends on how specialized your stack is, for example a niche ESB product or strict compliance requirements, but our goal is always to have a qualified engineer contributing to your service estate as quickly as possible.
What pricing models and rates should we expect when hiring dedicated Service Oriented Architecture talent?
We typically work on a dedicated engineer or dedicated team model billed at a predictable monthly rate, which makes budgeting far simpler than juggling recruiter fees, benefits, and hiring overhead. Rates depend on seniority, the depth of SOA specialization required, and whether you need a single embedded engineer or a full delivery pod with a technical lead. Because engineering oversight and replacement coverage are included, the effective cost of risk is lower than a direct hire who might not work out. We share transparent rate ranges during the discovery session once we understand your scope, stack, and expected engagement length.
How is time zone overlap with North America handled for Service Oriented Architecture engineering teams?
We structure every engagement around meaningful working hour overlap with your team, whether you operate on Eastern, Central, Mountain, or Pacific time. Engineers join your standups, architecture reviews, and incident calls during your business day, so decisions about contracts, versioning, and production issues never wait overnight. For integration work, this matters a great deal because service changes often require coordination with several consuming teams at once. We agree on core collaboration hours, escalation paths, and on call expectations at the start of the engagement, which keeps communication predictable and lets your leaders treat our engineers like a natural extension of their own team.
What does your technical vetting methodology look like for Service Oriented Architecture expertise?
Our vetting is run by practicing engineers rather than recruiters scanning for keywords. Candidates work through live problem solving, such as reading WSDL and XSD definitions and explaining which consumers a proposed change would affect. They complete an architecture review of a realistic legacy estate, outlining an incremental migration away from a bottlenecked service bus without breaking downstream systems. We test their grasp of transaction and compensation strategies, versioning, and observability across service calls. Finally, we assess communication and collaboration, because senior SOA engineers constantly negotiate contracts with product owners, operations staff, and partner teams who depend on stable, well documented services.
Who owns the intellectual property produced by engineers working on our Service Oriented Architecture systems?
You do. Our agreements assign full ownership of all code, service contracts, schemas, documentation, and related work product created during the engagement to your company. Engineers work inside your repositories and infrastructure under confidentiality obligations, so your integration logic, partner connections, and architectural decisions remain protected. We also encourage thorough documentation of service catalogs, contracts, and runbooks throughout the engagement, which means the knowledge stays with your organization even if team composition changes later. Our legal team is happy to review specific clauses with your counsel during contracting to make sure the terms align with your internal policies and any regulatory obligations you carry.
How flexible are your contracts if our Service Oriented Architecture project scope or team size changes?
Our contracts are designed for exactly that situation. Modernization programs rarely follow a straight line: an ESB decomposition might reveal more undocumented services than expected, or a strategic priority might shift budget elsewhere. You can scale a team up when a migration phase demands extra capacity and scale back down once the critical work stabilizes, with reasonable notice periods rather than long lock in commitments. If an individual engineer is not the right fit, our replacement guarantee lets us swap in another vetted specialist without restarting the search. That flexibility lets you match engineering spend to real progress instead of fixed headcount assumptions.
The Executive Guide to Hiring Service Oriented Architecture Expertise
A wrong hire in Service Oriented Architecture rarely fails loudly. It fails quietly, through a brittle service contract that breaks three downstream consumers, an enterprise service bus that slowly becomes the single point of failure for your entire business, or a migration plan that stalls for two quarters while your roadmap waits. A slow hiring pipeline compounds the damage, because every month without the right engineer is another month of integration debt. The right senior hire, by contrast, starts reducing risk in the first sprint. This playbook gives you a field tested strategy to define, vet, and integrate top tier SOA talent.
Why SOA Hiring Decisions Hit the Balance Sheet
What Separates Senior SOA Engineers from Order Takers
Mastery in Service Oriented Architecture has nothing to do with knowing what SOAP stands for. It shows up in how an engineer protects the business when services, contracts, and teams collide. Senior engineers own outcomes across the whole service estate, and their daily reality looks like this:
- Contract first design ownership. They write the WSDL, XSD, OpenAPI, or event schema before a line of implementation exists, because they know the contract is the product. Every consumer depends on it, so they treat each field, data type, and error response as a long term commitment the business must honor.
- Versioning and backward compatibility discipline. They plan how a service evolves without breaking the payroll system, the mobile app, and the partner integration that all call it. They run parallel versions, communicate deprecation windows, and refuse to ship changes that silently alter behavior for consumers nobody remembered to ask.
- Granularity and coupling judgment. They decide where one service ends and another begins. Too fine and you get chatty interfaces that crush latency; too coarse and you rebuild a monolith with network calls. Senior engineers make this call deliberately, document why, and revisit it when traffic patterns change.
- Transaction and compensation strategy. Distributed systems cannot rely on a single database commit. Strong engineers design compensation logic, idempotent operations, and retry policies so that a failed payment or half completed order is recovered cleanly instead of leaving inconsistent records that finance discovers weeks later during reconciliation.
- ESB and integration platform stewardship. They know MuleSoft, IBM App Connect, Oracle Service Bus, TIBCO, or WSO2 well enough to spot when routing and transformation logic has turned the bus into a bottleneck. They keep fragile XML transformations under control and push business logic back into services where it belongs.
- Observability and governance enforcement. They instrument tracing across service calls, maintain a living service catalog, and enforce security and SLA policies at the gateway. When an incident hits, they can show exactly which call failed, who owns that service, and what the blast radius looks like for customers.
The Financial and Operational Return on Real Expertise
Deep SOA mastery pays for itself through measurable operational levers, not abstract architecture purity:
- Technical debt reduction. Undocumented services and tightly coupled point to point calls are expensive to touch. A senior engineer catalogs what exists, retires dead endpoints, and replaces hidden dependencies with explicit contracts, which shrinks the cost and risk of every future change your product team requests from engineering.
- Faster deployment cycles. Loose coupling and disciplined versioning let teams release independently instead of coordinating giant release trains. When a service can ship without a synchronized deployment across five systems, your lead time drops and product decisions reach customers while they still matter competitively in your market.
- Infrastructure cost optimization. Chatty interfaces, oversized payloads, and an overloaded ESB burn compute and licensing budget. Engineers who understand granularity and asynchronous messaging cut redundant calls, right size integration infrastructure, and identify when expensive middleware licenses can be replaced by lighter gateways or cloud messaging services without losing capability.
- System reliability and resilience. Proper retry policies, circuit breakers, compensation logic, and monitoring keep a single failing dependency from cascading into a full outage. That protects revenue, customer trust, and contractual SLAs, which matters enormously for banks, insurers, telecoms, and public sector teams still running critical SOAP and ESB integrations.
Do This Homework Before You Open a Single Requisition
Audit Your Technical Constraints First
Most failed SOA hires trace back to a fuzzy problem statement. Before you talk to a single candidate, get honest about what your service estate actually needs.
Pinpoint the Bottleneck Your Hire Must Break
Ask which systemic problem hurts the business most right now. Is it a monolithic ESB that every team waits on? Undocumented SOAP services nobody dares to change? Fragile XML transformations that break whenever a partner tweaks a schema? Or a strategic push to expose legacy services as REST APIs through a gateway, or to move toward event driven architecture with Kafka? Each problem demands a different profile. A modernization lead and an ESB stabilizer are not interchangeable. If the work leans heavily on connecting third party platforms, scope it alongside proven API integration services so the hire focuses on architecture.
Decide How Much Autonomy the Role Carries
An embedded SOA specialist joins your existing team, works inside your rituals, and raises the bar on contracts and governance from within. This works when you already have strong engineering leadership and need targeted depth. A dedicated delivery pod is different: a small, self directed unit owning an outcome such as ESB decomposition or a gateway rollout, with its own technical lead. Pods suit initiatives where your internal team lacks bandwidth or the specific integration history. Choose based on who will make architectural calls day to day, and whether your current leaders have the capacity to direct that work.
Weigh In House Hiring Against Vetted Remote Talent
Hiring a full time SOA engineer in house means long search cycles, competitive offers against banks and consultancies, and real onboarding risk if the person underdelivers. The talent pool with genuine enterprise integration history is narrow, so searches drag. Vetted dedicated remote talent changes that equation. You get engineers already screened for production experience, aligned to North American hours, and backed by a partner who replaces them if the fit is wrong. For time sensitive modernization work, that combination of speed and reduced downside often outweighs the perceived control of a direct hire on payroll.
Build a Requirement Profile, Not a Generic Job Spec
Generic job specs list every acronym ever associated with SOA and attract keyword stuffers. Define four non negotiable components instead:
- Core outcome and mission. State the business result in one sentence, such as decomposing the ESB into independently deployable services without consumer downtime. A clear mission filters out candidates who want to rebuild everything and attracts those who can deliver incremental, measurable progress against a real constraint you can track.
- Technical stack ecosystem. Name the actual environment: SOAP with WS Security, your specific ESB product, REST and OpenAPI, the API gateway, message brokers, and the cloud platform. Candidates must show real production depth in the parts that matter most, not shallow exposure across every tool listed on a resume.
- Decision making authority. Spell out what the engineer can decide alone, such as contract design, versioning policy, or retiring an endpoint, versus what needs architecture board approval. Ambiguous authority creates either paralysis or rogue redesigns, and both are expensive in a shared service estate with many consumers involved.
- System impact scope. Define which services, consumers, and SLAs fall within the role. An engineer who touches the payment or claims path needs a different risk tolerance and testing rigor than one modernizing internal reporting feeds. Make that scope explicit so candidates can speak directly to comparable responsibility they have held.

Let’s Turn Your Idea into Scalable Software
Book a call with the representative to get answers to all the questions you may have.
Vet Rigorously, Then Onboard Without Friction
A Battle Tested Vetting Framework for SOA Talent
Where Qualified Candidates Actually Come From
Traditional recruiters screen for buzzwords. They see MuleSoft, SOAP, and microservices on a resume and forward the profile, with no ability to judge whether the candidate designed contracts or simply consumed them. That pushes the real vetting burden onto your senior engineers, who lose weeks to interviews that go nowhere. Pre screened engineering networks flip that model: candidates are evaluated by practicing engineers against verified production experience before you ever see them. Drawing from a curated talent network means your first interview starts at the architecture conversation instead of the basics, which protects your team's time.
How to Run the Technical Evaluation
Skip trivia questions about WS standards. Run live problem solving instead: hand the candidate a WSDL and XSD and ask them to explain what consumers depend on and what would break with a proposed change. Follow with a real world architecture review, describing a monolithic ESB with undocumented point to point calls, and ask for an incremental migration plan that never breaks downstream consumers. Probe transaction and compensation strategy explicitly. Evaluate communication under pressure by challenging their tradeoffs mid answer. Finish with a cross functional fit session with product and operations stakeholders, because SOA engineers negotiate contracts with people as much as with code.
The First 90 Days: A Ramp Up Protocol That Pays Off Early
- Days 1 to 30: Access, mapping, and first commits. Grant repository, gateway, ESB console, and monitoring access in week one. The engineer maps the service catalog, documents undocumented endpoints, and ships a low risk production fix. The deliverable is a written dependency map showing ownership, consumers, and the riskiest integration points across the estate.
- Days 31 to 60: Contracts and quick wins. The engineer introduces or tightens contract first practices, sets a versioning and deprecation policy, and adds tracing across the most critical call paths. Expect at least one measurable improvement, such as removing a chatty interface or stabilizing a fragile transformation that previously caused recurring incidents in production.
- Days 61 to 90: Ownership and roadmap. The engineer now owns a defined set of services and presents an incremental modernization roadmap, covering which SOAP services to expose through the gateway, what ESB logic to extract, and where event driven patterns fit. Leadership should see a sequenced plan with risks, dependencies, and checkpoints attached.
Separate the Contenders from the Pretenders
Red Flags and Green Flags in SOA Interviews
Red flags:
- Over engineering simple problems. The candidate proposes an event mesh, three new services, and a saga orchestrator for a problem that a single well designed endpoint would solve. That instinct inflates cost, extends timelines, and multiplies the failure points your operations team will have to monitor and support later.
- Tool obsession over business outcomes. Every answer starts with a favorite product rather than the problem. Candidates who insist on replacing your ESB or adopting Kafka before understanding consumers, SLAs, and budget will spend your money on migrations that do not move a single business metric forward.
- No honest account of past failures. Ask about a service change that broke consumers or an integration outage they caused. Engineers who claim a spotless record either lacked real ownership or lack self awareness, and neither profile belongs anywhere near your production service estate or critical revenue paths.
- Hand waving on distributed transactions. If the candidate assumes a single commit spans multiple services, or cannot explain compensation, idempotency, and retries, expect data inconsistencies in production. This gap is the most expensive one to discover after hiring, because it surfaces in financial reconciliation and customer complaints.
Green flags:
- Pragmatic tradeoff analysis. The candidate weighs options openly, explaining when SOAP remains the right answer, when REST fits better, and when asynchronous messaging earns its complexity. They tie each choice to latency, cost, team skills, and consumer impact rather than to fashion or personal preference about technology.
- Obsession with data and system integrity. They ask about schemas, validation, ordering guarantees, and what happens to a message when a downstream system is offline. Engineers who think first about correctness protect revenue, audit trails, and regulatory standing, which is exactly what enterprise integration work demands of senior people.
- Proactive risk identification. Before proposing changes, they ask who consumes the service, what the rollback plan is, and how success will be measured. They surface risks you did not mention, which signals the kind of ownership that prevents incidents rather than merely responding after customers notice.
- Deep command of SOA edge cases. They can discuss schema evolution pitfalls, namespace conflicts in XML, timeout cascades, poison messages, and partial failures across chained calls. That depth only comes from years of running real service estates under load, and it cannot be faked convincingly in a technical interview.
Why Leaders Choose SoftDoes for SOA Delivery
SoftDoes is a North America focused custom software engineering and data and AI partner serving clients across the US and Canada. We deploy battle tested senior engineers with verified Service Oriented Architecture experience in SOAP, ESB platforms, REST, and event driven modernization. Every engagement runs under engineering led delivery oversight, so you never manage unsupervised freelancers. We move fast, deploying vetted talent quickly, and we give you the flexibility to scale up or down as priorities shift. If an engineer is not the right fit, our zero risk replacement guarantee covers it. When your roadmap also needs specialists for partner and platform connectivity, you can hire API integration developers through the same vetted process.
The Bottom Line and Your Next Move
Disciplined SOA engineering is not an infrastructure detail; it is the backbone that determines how fast your business can change without breaking what already earns revenue. If your service estate is slowing delivery, inflating costs, or carrying hidden risk, book a technical discovery session with SoftDoes solution architects. We will assess your constraints, define the right profile, and show you exactly how quickly vetted SOA engineers can start delivering results.

















































