HYDERABAD · FULLTIME
Sr. WebMethods Developer

Cloudfulcrum
Hyderabad · onsite · Posted 1d ago
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Undisclosed8–13 yrsfulltimeHyderabad
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Section · 01
About this role
> Sr. WebMethods Developer
Location: Hyderabad, INDIA
Work Mode: Hybrid
Skills: Python; SQL; JSON; CI / CD; Azure; Kubernetes; Webservices; JSON / XML
Experience in Years: 8
Type: Full Time
Life Sciences Cloud, Revenue Lifecycle Management and nCino each carry configuration, data dependencies and business journeys that must move-and be verified-with every release.
A Salesforce release is rarely just a collection of metadata. In an industry cloud, the change also carries business configuration, connected data, sequencing rules and critical journeys that have to remain intact from one environment to the next.
That distinction matters. A deployment can complete exactly as planned while the wider business release still contains unresolved risk: a configuration dependency moved out of sequence, target data is not ready, or a process that spans several objects no longer behaves as expected.
An industry-aware DevOps operating model makes those concerns part of the release itself. It combines the delivery automation already in Copado with reusable assets configured around the product, the customer s environments and the business process being changed.
The release is not complete when the metadata deploys. It is complete when the industry process still works. The release boundary has changed Traditional release planning often begins with a list of components and ends with a successful promotion. Industry-cloud delivery asks a broader set of questions:
- Which configuration and connected data must travel with the code
- In what order must dependent assets move
- What must be true in the target environment before promotion
- Which critical business journeys need regression coverage
- Which controls should change based on release type, risk or policy
These are not separate operational checks to be added at the end. They are part of the delivery design. The practical answer is an accelerator that packages three connected layers: data and configuration movement, release quality gates and Copado Robotic Testing (CRT) regression coverage.
The Industry DevOps operating model
Different industry processes. One connected release model. Life Sciences Cloud Programs and regulated delivery
Care Programs, HCP Engagement, consent, participant management and patient-service journeys.
Revenue Lifecycle Management Product-to-order delivery Product, pricing, order and runtime configuration across the revenue lifecycle.
nCino Controlled banking change Banking configuration, connected data movement and regression for critical workflows.
1 Data and configuration packs Preserve the relationships and sequence required by the industry process.
2 Release quality gates Evaluate dependencies, configuration integrity, target readiness and promotion policy.
3 CRT regression coverage Verify the critical business journeys affected by the change.
Copado delivery foundation Data Deploy Quality Gates Robotic Testing
The accelerator layers are configured to the customer s object model, environments, release path and governance rules. What industry-aware means in practice The model is consistent, but the implementation should not be generic. Each industry product brings its own release surface and its own definition of continuity.
Life Sciences Cloud: protect connected programs and journeys A Life Sciences Cloud change can touch Care Programs, HCP Engagement, consent, participant management, patient services, and product and order data. The delivery challenge is not simply moving each item. It is preserving the relationships that allow a regulated process to work as intended.
An accelerator for Life Sciences Cloud can package the relevant configuration and data, check for drift or conflict, confirm target deployability and run CRT coverage across Care Program enrollment, HCP engagement, consent and patient-service journeys. The release team sees the controls in the same flow as the promotion-not in a disconnected checklist.
Revenue Lifecycle Management: keep the lifecycle synchronized Revenue Lifecycle Management connects product, pricing, order and runtime configuration. These elements form a dependency chain; treating them as unrelated deployment items creates avoidable uncertainty around sequencing and target readiness.
An industry-aware model packages the connected configuration, applies dependency and promotion gates, and tests the product-to-order journey after the change. That gives release leaders a clearer answer to the real question: did the revenue process remain coherent across configuration and runtime behavior
nCino: govern configuration and connected data together For nCino, banking configuration and connected data must move under controlled promotion. A technically successful component deployment is only one part of that change.
The accelerator packages the relevant configuration and data, validates them before promotion, and applies CRT coverage to the banking workflows that matter after the release. The result is a repeatable control model that supports delivery speed without losing visibility into operational risk.
Three layers make the accelerator operational 1. Data and configuration packs The first layer defines the assets that travel together. It captures the object relationships, configuration scope and required movement sequence for the industry process. Instead of rebuilding that knowledge for every release, the team has a reusable package that can be maintained as the implementation evolves.
2. Release quality gates The second layer turns release knowledge into executable control. Gates can assess dependencies, data movement, configuration integrity, target readiness and promotion policy at the relevant point in the path to production. This makes the control visible, repeatable and tied to the release record.
3. CRT regression coverage The third layer validates the outcome at the level the business recognizes: the journey. The regression scope follows the affected process-Care Program enrollment, product-to-order, or a critical banking workflow-so the evidence says more than the deployment passed.
The operating principle
Move the connected assets, enforce the right control and verify the affected journey. The three layers work as one release model, not as independent tools or after-the-fact checks.
Reusable does not mean fixed. A useful industry accelerator is configured to the customer s object model, environments, release path and governance rules. It should make a clear distinction between what can be configured directly and what requires extension.
That distinction is essential because two customers on the same industry product may have different operating models, risk thresholds and release calendars. The value of the accelerator is the combination of proven delivery assets and a disciplined configuration process-not a claim that every implementation is identical.
Once configured, the model also needs an owner. Through Copado as a Service, CloudFulcrum can operate deployment execution, sandbox operations, asset and gate maintenance, CRT suite extension, release reporting and readiness for platform releases. The accelerator becomes part of the day-to-day release system rather than a one-time implementation artifact.
Start with one representative release problem The fastest way to determine whether an industry accelerator is useful is to apply it to a real change. A focused working session should leave the team with a delivery blueprint it can evaluate, including:
- Industry object and configuration scope
- Quality gates mapped to policy and risk
- CRT scope for affected business journeys
- Deployment sequence and dependencies
- Direct configuration versus required extension
- An operating path after initial configuration
This moves the conversation from broad capability to release engineering. The customer can see where the accelerator fits, which assets are reusable and what must be adapted to the implementation.
Industry clouds deserve a release model built around the process they run. When data and configuration movement, quality gates and regression coverage are designed together, Copado becomes the foundation for a more complete and repeatable industry delivery system.
Bring one industry release problem. Leave with the delivery blueprint-covering the connected assets, release gates, CRT scope and deployment sequence for a representative change.
Book Your Accelerator Session About CloudFulcrum CloudFulcrum helps enterprises engineer and operate Salesforce delivery models that connect release automation, quality controls and business-process assurance. Learn more about CloudFulcrum s Salesforce DevOps capabilities . --> Position: Sr. WebMethods Developer
Key Responsibilities
Required Skills & Experience
Good to Have
Educational Qualification
Location : Hyderabad (Hybrid)
Experience : 8 Years
Role Summary
We are looking for a Senior webMethods Developer & Administrator with 8+ years of experience to design, develop, and administer enterprise integration solutions. The candidate will own end-to-end delivery across webMethods Integration Server, API Gateway, and Universal Messaging, while also managing Kubernetes-based deployments and CI/CD pipelines for middleware components.
- Design, develop, and support integrations using webMethods Integration Server (flow services, Java services, adapters).
- Configure and administer webMethods API Gateway: policy enforcement, security (OAuth2/JWT/API keys), throttling, versioning, and API lifecycle management.
- Install, configure, and manage Universal Messaging (UM): topics/queues, ACLs, clustering, persistence, and failover.
- Deploy, monitor, and troubleshoot webMethods components on Kubernetes (Helm charts, StatefulSets, ConfigMaps, Secrets, pod scaling).
- Build and maintain CI/CD pipelines (Jenkins / GitLab / Azure DevOps) for automated build, test, and deployment of integration assets.
- Diagnose and resolve performance, connectivity, and clustering issues (e.g., Terracotta Server Array, Apache Ignite topology/split-brain scenarios).
- Implement and support integration patterns: pub-sub, request-reply, event-driven architecture (EDA), and ESB-based flows.
- Manage database interactions including stored procedures, data transformations, and troubleshooting data inconsistencies.
- Set up monitoring and observability using tools such as Application Insights, ELK, or Grafana; lead root-cause analysis (RCA) for incidents.
- Collaborate with architects, business analysts, and downstream application teams to map and validate integration requirements.
- Mentor junior developers and contribute to defining coding standards, best practices, and reusable integration frameworks.
- Maintain technical documentation, deployment runbooks, and support SOPs.
- 8+ years of overall integration/middleware experience, with 5+ years hands-on in webMethods (Integration Server, API Gateway, Universal Messaging).
- Strong understanding of REST/SOAP web services, JSON/XML, and messaging protocols.
- Working knowledge of Kubernetes: deployments, services, networking, and troubleshooting containerized workloads.
- Experience with CI/CD tools and scripting (YAML, Shell, Python, or similar).
- Proficiency in SQL, stored procedures, and data engineering/transformation tasks.
- Solid understanding of clustering and high-availability concepts (Terracotta, load balancers, shared databases).
- Strong analytical, debugging, and root-cause analysis skills.
- Good communication skills with ability to explain technical concepts to cross-functional teams.
- Software AG webMethods certification.
- Exposure to cloud platforms (Azure / AWS / GCP).
- Experience with API management tools beyond webMethods.
- Prior experience presenting architecture/design to technical and business stakeholders.
- Bachelors or Masters degree in Computer Science, IT, or a related field.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationApi ManagementAzure DevopsCI/CD Pipelinescoding standardscopadobusiness processcloud platformsApacheclusteringamazon web servicescd toolsAws Api GatewayApplication InsightsBankingcloudCommunication SkillsArchitectureMicrosoft Azure
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About Cloudfulcrum

Cloudfulcrum
Software Product
31
employees
2019
7 years old
Hyderabad / Secunderabad, Telangana
India
₹8.4L PA avg
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CloudFulcrum excels in Salesforce DevOps solutions, enhancing CRM efficiency and customer satisfaction for various enterprises.
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