Hire Java Ee Developers With U.S. Support
Hire Java Ee Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.
Senior Java Ee 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 Java Ee 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 Java Ee 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 Java Ee 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 Java EE expertise?
Through traditional recruiting, hiring a senior Java EE engineer often takes several months, because experienced specialists are usually employed on critical systems and rarely respond to generic outreach. The search also slows down when recruiters cannot judge enterprise Java depth, which leads to long interview loops with poorly matched candidates. Working with a pre vetted network changes the timeline significantly. SoftDoes typically presents a shortlist of assessed candidates within days, and most clients complete interviews and start onboarding within a few weeks. The exact pace depends on how clearly you define scope, seniority and the surrounding technology stack before the search begins.
What does it cost to hire a developer or team with deep Java EE expertise?
Cost depends on seniority, engagement model and the scope of work. A mid level engineer handling feature development inside a stable monolith costs less than a senior architect leading an application server upgrade or a Jakarta EE migration. In house hiring adds recruiting fees, benefits, equipment and training on top of salary, while a dedicated engagement bundles those costs into a predictable monthly rate. Pods cost more in total but often deliver faster because several roles work in parallel. SoftDoes provides transparent pricing after a discovery call, once we understand your system, deadlines and the depth of expertise the work truly requires.
What engagement models are available for Java EE projects, such as a dedicated hire, a pod, or a contract?
SoftDoes offers several models so you can match staffing to the actual work. A dedicated specialist joins your team full time and works inside your processes, which suits ongoing maintenance or a focused upgrade. A pod combines a backend lead with supporting roles such as QA, DevOps or additional developers, which works well for migrations, containerization programs and larger modernization efforts. Contract engagements cover defined pieces of work like a performance audit or a namespace migration with a clear end point. Many clients start with one model and adjust as the roadmap evolves, scaling up or down without restarting the hiring process.
How do you ensure time zone alignment with a team skilled in Java EE?
SoftDoes focuses on clients across the US and Canada, so we staff engagements with engineers who work hours that overlap meaningfully with your core business day. Before an engagement starts, we agree on shared working windows, meeting cadence and response expectations for production issues. For enterprise systems where incidents affect payments, claims or customer access, we also define clear escalation paths and on call coverage where needed. Daily standups, shared channels and documented handovers keep everyone aligned. The goal is that your internal team experiences our engineers as colleagues who are available when decisions need to be made, not as a distant vendor.
How does SoftDoes technically vet developers for Java EE expertise?
Our vetting goes well beyond keyword matching on resumes. Senior engineers on our side interview each candidate about real systems they have worked on, focusing on architectural decisions, transaction design and persistence tuning. Candidates complete practical exercises based on realistic scenarios, such as diagnosing slow JPA queries, planning a javax to jakarta migration, or preparing a legacy application for containers. We probe application server experience with WildFly, Payara, Open Liberty or WebLogic, along with security integration and production troubleshooting. We also assess communication, documentation habits and how candidates explain risk to non technical stakeholders, because those skills matter on long lived enterprise platforms.
What support is available for scaling the team after launch as our Java EE needs grow?
Scaling is built into how SoftDoes engagements work. As your roadmap expands, we can add engineers with complementary skills, such as DevOps specialists for Kubernetes rollouts, QA engineers for regression coverage, or developers experienced with Spring Boot and Quarkus for modernization work. New team members join an existing pod with shared practices, which shortens their ramp up considerably. If priorities shift and you need fewer people, we adjust the team without disrupting delivery. Our replacement guarantee also covers you if an engineer is not the right fit, so your Java EE platform keeps moving forward without long staffing gaps.
How to Hire Developers Skilled in Java EE
Most companies discover the cost of a weak Java EE hire months too late: a monolith nobody dares to touch, an application server upgrade that stalls for quarters, and production incidents traced back to transaction settings no one understands. The alternative is an engineer who reads your EAR files like a map, upgrades the platform without breaking billing or claims processing, and leaves the system faster and safer than they found it. This guide shows you how to define what you actually need, where to source proven Java EE specialists, how to vet them beyond the resume, and how to onboard them so they ship quickly.
What Java EE Really Does Inside Your Business
The Engineering Work a Java EE Specialist Handles Every Day
Java EE, now continued by the Eclipse Foundation as Jakarta EE, is the enterprise Java standard behind many core systems in banking, insurance, telecom and government. In production, it powers transactional backends, integration layers and internal portals running on application servers such as WildFly, JBoss EAP, Payara, Open Liberty and WebLogic. Typical daily work includes:
- Building and maintaining REST APIs with JAX RS. Engineers design resource endpoints, wire them to business logic through CDI, validate payloads with Bean Validation, and keep contracts stable for downstream consumers. Good specialists version APIs carefully so mobile apps, partner integrations and internal tools never break during a release.
- Designing persistence layers with JPA. This means mapping entities through Hibernate or EclipseLink, tuning fetch strategies, controlling persistence context size and eliminating N+1 queries. A skilled developer reads generated SQL, adds the right indexes with your database team, and keeps reporting queries from dragging down transactional workloads during peak hours.
- Managing transactions and messaging. Java EE work often involves JTA transaction boundaries spanning databases and JMS queues. Engineers decide where transactions start and end, handle retries and poison messages, and make sure a failed payment or policy update never leaves records half written across several connected systems.
- Upgrading platforms and namespaces. Many teams must move from javax to jakarta packages, a breaking change introduced in Jakarta EE 9. Specialists plan the migration with Eclipse Transformer or OpenRewrite recipes, upgrade Java versions and application servers, and test every module before anything reaches production users.
- Containerizing legacy applications. Moving a WAR or EAR into Docker and Kubernetes requires externalized configuration, tuned JVM memory settings, faster startup and a replacement for server specific clustering and session replication. Experienced engineers make these changes incrementally so operations teams keep full visibility and rollback options throughout.
- Securing enterprise applications. Developers configure Jakarta Security, JAAS realms and container managed authentication, and increasingly integrate OpenID Connect with identity providers such as Keycloak. They map roles to business permissions, audit access paths, and close gaps that auditors and penetration testers in regulated industries tend to flag first.
Why Senior Java EE Expertise Pays Off at the Executive Level
- System stability you can plan around. Senior engineers understand connection pools, thread pools and transaction boundaries on the application server. That knowledge prevents the slow memory leaks and timeout cascades that wake your team at night, so leadership can plan releases and customer commitments without padding every estimate.
- Faster delivery on a mature codebase. Large Java EE monoliths punish guesswork. An experienced developer navigates EJB layers, CDI scopes and deployment descriptors quickly, which means new features ship in weeks instead of quarters and your roadmap stops waiting on the one person who remembers how everything fits.
- Lower technical debt over time. Specialists replace deprecated APIs, retire vendor specific hacks and move code onto supported Jakarta namespaces in controlled steps. Each release leaves the platform cleaner, which reduces licensing exposure on legacy servers and keeps future upgrades from turning into risky, expensive rewrite projects nobody wants to fund.
- A scalable path to modern architecture. Whether you choose Jakarta EE on lighter runtimes, MicroProfile for health checks and fault tolerance, or a gradual move to Spring Boot or Quarkus, a senior engineer designs the path. You gain cloud readiness without freezing feature work or betting the business on one migration.
Getting Ready Before You Open the Role
Clarify What Your Java EE System Actually Needs
Before you write a job post, get your internal picture straight. Hiring managers who skip this step usually interview for the wrong profile and lose weeks. Review the current state of your application, the decisions already made about its future, and the budget you can commit. If your roadmap leans more on modern Java services than on enterprise specifications, consider whether you should hire Java developers with a broader platform profile instead.
Map the Scope and the Architecture You Already Run
Start with an honest audit of the system. List the application server and version, the Java version, how the code is packaged (EAR, WAR or both), and which APIs carry the most weight: EJB, JPA, JMS, JSF or JAX RS. Note integrations with mainframes, message brokers and identity providers. Then define the mission for the hire: steady maintenance, a javax to jakarta migration, containerization for Kubernetes, or a gradual split into services. Each mission demands a different depth of experience. Document known pain points such as slow queries or fragile deployments, because these become the practical scenarios you will test candidates against later.
Decide on Seniority and the Surrounding Stack
A Java EE platform rarely lives alone, so define the complementary skills next to the core specification knowledge. Most teams need solid SQL and database tuning, familiarity with Maven or Gradle builds, CI pipelines, and at least working knowledge of Docker. Migration projects add Spring Boot, Quarkus or MicroProfile. Seniority follows the mission: a mid level engineer can handle feature work inside a stable monolith, but platform upgrades, transaction redesign and modernization planning need a senior or lead who has done it before. Be honest about whether you need one strong individual or several engineers with overlapping strengths.
Choose Between In House Hiring and a Dedicated Remote Pod
Next, decide how the work will be staffed. An in house hire makes sense when the system is strategic for decades and you can afford a long search, full benefits and ongoing training. A dedicated remote pod fits when you face a deadline, a migration window, or a backlog that needs several roles at once, such as a backend lead, a QA engineer and a DevOps specialist. Pods arrive with established working habits and shared tooling, which shortens ramp up. Many companies blend both: a pod drives the modernization while a small internal team absorbs the knowledge and owns the platform afterward.
Writing a Role Profile That Attracts Real Java EE Experts
- The technical mission. State plainly what the engineer will accomplish in the first six months: stabilize a WebLogic cluster, migrate to Jakarta namespaces, or containerize a WildFly application. Strong candidates choose roles by the problem, so a concrete mission filters out generalists and attracts people who have solved that exact problem before.
- The ecosystem and tooling. List the application server, Java version, persistence provider, messaging system, build tools, CI platform and cloud environment. Mention legacy constraints openly, including old IBM WebSphere Traditional modules. Experienced engineers respect transparency and can immediately judge whether their background fits, which saves both sides from interviews that go nowhere.
- Team dynamics. Describe who the engineer will work with daily: product owners, database administrators, a security team, offshore support or an internal platform group. Explain how decisions are made, how code reviews work, and what release cadence looks like. Senior specialists want to know whether they will have authority to fix structural problems.
- System impact. Spell out what depends on this platform: payments, policy administration, subscriber billing, or citizen services. Explain the availability expectations and compliance requirements involved. Engineers who understand the business stakes make better tradeoffs, and the strongest candidates are drawn to roles where their work visibly protects revenue and customer trust.

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 Java EE Team
A Hiring Process Built Around Real Java EE Work
The process that finds strong enterprise Java engineers looks different from generic developer hiring. You are evaluating judgment on long lived systems, not speed on algorithm puzzles.
Where to Find Proven Talent
Standard outbound recruiting works, but it is slow for Java EE. Many of the best specialists are already employed on critical systems, rarely update profiles, and ignore keyword based outreach. Recruiters without enterprise Java background also struggle to tell a JSF maintainer from a platform architect. A pre vetted network shortens the cycle because candidates have already been assessed on real Java EE work: migrations, application server tuning and transactional design. If you want access to engineers whose track record has been checked before you ever see a profile, our vetted talent network is built for exactly that kind of shortlist, often within days rather than months.
Testing Judgment, Not Just the Resume
Resumes list APIs; interviews must reveal judgment. Ask candidates to walk through an architectural choice they made in Java EE, such as moving from stateful EJBs to CDI beans or splitting a monolith module. Give a practical task grounded in your system: diagnose an N+1 query in a JPA mapping, design transaction boundaries for a payment flow, or plan a javax to jakarta migration for a multi module build. Add constraints like a frozen database schema or a fixed release window and watch how they prioritize. Finally, assess culture fit: how they document decisions, handle disagreement, and communicate risk to non technical stakeholders.
A 30/60/90 Day Plan That Gets New Engineers Shipping
- Days 1 to 30: access and orientation. Grant repository, CI, staging and log access on day one. Pair the new engineer with a system owner to walk through deployment descriptors, application server configuration and critical flows. Their first goal is a small production fix shipped through your full pipeline, proving the setup works end to end.
- Days 31 to 60: ownership of a real area. Assign a defined module or service, such as the messaging layer or a reporting API. The engineer should now handle code reviews, write integration tests, and propose improvements to persistence or transaction handling. Weekly check ins surface blockers early and confirm that delivery pace matches expectations.
- Days 61 to 90: measurable platform impact. By now the engineer should lead a meaningful initiative: an application server upgrade, a containerization pilot, or a performance fix on a known slow path. Ask for a short written plan with risks and rollback steps. This confirms they can own outcomes, not just tickets, inside your enterprise environment.
Choosing With Confidence
Warning Signs and Strong Signals in Java EE Interviews
Red flags
- The candidate cannot explain what changed between javax and jakarta packages or why it breaks existing code. That gap suggests they have only worked on frozen legacy systems and will struggle with any upgrade, migration or modernization work your roadmap requires in the coming months.
- They treat JPA as magic and cannot describe lazy loading, persistence context lifecycle or how to spot N+1 queries. Engineers with this gap tend to ship features that pass tests but collapse under production load, creating incidents that your senior people must then debug.
- Every answer depends on one vendor's console or wizard. Engineers who only know how to click through WebLogic or WebSphere administration screens often cannot reproduce environments in code, which blocks containerization, automated deployments and consistent configuration across staging and production environments.
- They dismiss testing, documentation or monitoring as someone else's job. On large Java EE monoliths, undocumented changes and missing integration tests are exactly how small fixes turn into outages. Senior engineers treat observability and clear handover notes as part of delivering working software.
Green flags
- The candidate explains transaction boundaries clearly, including when to use container managed versus bean managed transactions and how JTA coordinates databases with JMS. This shows they understand the reliability guarantees your business depends on and can protect data integrity under real failure conditions.
- They describe a migration they actually ran, naming tools such as Eclipse Transformer or OpenRewrite, the order of modules, and what went wrong. Honest detail about setbacks signals real experience and the practical judgment needed to plan your own upgrade safely.
- They talk comfortably about connection pool sizing, thread pool tuning and JVM memory settings in containers. This operational awareness means they can run your system in production, not just write code for it, and will catch performance problems before customers notice.
- They weigh modernization options pragmatically, comparing Jakarta EE on lighter runtimes, MicroProfile, Spring Boot and Quarkus against your constraints. Instead of pushing a favorite framework, they ask about team skills, deadlines and risk tolerance, which is exactly the judgment you want leading architecture decisions.
What You Gain by Working With SoftDoes
SoftDoes is a North America focused engineering and talent delivery partner serving clients across the US and Canada. We give you immediate access to pre vetted senior engineers with hands on Java EE and Jakarta EE experience, assessed on migrations, application server tuning and transactional design. You work with a coordinated team, not isolated freelancers, so knowledge stays shared and delivery stays predictable. Replacement and scaling guarantees protect your timeline if needs change. Engagements range from a single specialist to a full pod, and when the work extends beyond staffing into full product delivery, our custom software development team can own the roadmap end to end.
Start Building Your Java EE Team Today
Your enterprise platform deserves engineers who understand it from transaction boundaries to deployment pipelines. Whether you need one senior specialist to stabilize a legacy monolith or a dedicated pod to drive a Jakarta EE migration, SoftDoes can present qualified candidates quickly and support them through delivery. Schedule a discovery call with our team, share your architecture and goals, and get a clear staffing plan built around your system, timeline and budget.

















































