Senior Java Engineer 12 applicants
Design, build, and maintain cloud-ready Java microservices for a banking modernization program. Collaborate with cross-functional teams to ensure high-throughput, secure, and resilient service delivery.
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Design, build, and maintain cloud-ready Java microservices for a banking modernization program. Collaborate with cross-functional teams to ensure high-throughput, secure, and resilient service delivery.
The Technical Lead will own the technical direction of enterprise Java applications and lead a team of engineers in modernizing legacy systems. This role involves bridging the gap between architecture, delivery teams, and business stakeholders while ensuring high standards for performance and security.
The Senior DevOps Engineer will design, implement, and maintain cloud infrastructure while streamlining software development lifecycles. They will lead CI/CD pipeline development, automate build processes, and provide technical support to cross-functional teams.
Lead the technical development and implementation of enterprise solutions with a focus on RPA and digital transformation. Provide technical leadership, mentor junior developers, and ensure the delivery of high-quality, scalable software solutions.
You will lead the development of a mission-critical enterprise pricing platform while elevating engineering practices and mentoring team members. Additionally, you will integrate AI-assisted development workflows to improve team productivity and code quality.
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Develop, maintain, and debug RPG, RPGLE, and CL programs on IBM AS400/iSeries systems. Support and customize JD Edwards EnterpriseOne modules while managing system integrations and technical documentation.
The developer will design, develop, and maintain scalable web applications using the MERN stack. Responsibilities include building backend services, managing databases, and integrating RESTful APIs.
The role involves maintaining, troubleshooting, and enhancing legacy VB.NET and SQL Server applications within complex operational environments. You will collaborate with business users to diagnose production issues and implement long-term solutions across interconnected hardware and software systems.
You will own the quality strategy for a complex mobile platform by balancing manual exploratory testing with a robust automation framework. You will collaborate with cross-functional teams to shift testing left and influence engineering standards for coverage and test placement.
You will be responsible for the strategy, development, and maintenance of a high-performance trading platform for digital assets. This includes building market data pipelines, implementing execution logic, and ensuring system resilience and high availability.
Build and evolve benchmarking, profiling, and load-testing tooling to detect performance regressions and establish baselines. Partner with database teams to identify bottlenecks and enable the company to publish credible performance metrics.
Identify and resolve performance bottlenecks across the entire stack, from the query optimizer to the kernel and network layers. Develop performance methodologies and tooling to provide actionable insights and enable teams to self-serve performance analysis.
Design, develop, and optimize complex reports and dashboards across the Oracle Fusion reporting ecosystem and Microsoft Power BI. Advise stakeholders on the best reporting technologies and ensure data accuracy and performance for production-ready solutions.
The role acts as a technical owner for customer-facing data workflows, integrations, and AI-driven automation. Responsibilities include designing technical solutions for customers, building internal tooling, and translating customer patterns into product requirements.
Build and scale a centralized authentication and authorization platform to ensure secure resource access across customer environments. Own the internal self-service platform for user and permission management while collaborating with cross-functional teams to improve developer experience.
The role involves gathering and translating business requirements into functional specifications for reporting and analytics solutions. The analyst will collaborate with stakeholders to design, develop, and validate Tableau dashboards to support data-driven decision-making.
Own the reliability and operational health of deployment systems and the control plane using SLOs and error budgets. Focus on reducing MTTD/MTTR, driving disaster recovery readiness, and standardizing deployment workflows.
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Develop and deploy machine learning solutions and foundation models to address high-impact societal challenges. Collaborate with cross-functional teams and stakeholders to translate real-world needs into scalable AI systems.
Design and implement comprehensive test strategies for AI/ML-based SaaS products, including automated frameworks and end-to-end testing processes. Collaborate with development and product teams to identify quality risks and mentor team members on testing best practices.
Design, develop, and maintain websites and web applications using Drupal, including custom module and theme development. Manage content structures, perform system upgrades, and optimize website performance and security.
The role involves designing, developing, and maintaining healthcare integration solutions and interfaces to ensure reliable data exchange. It also requires diagnosing complex connectivity issues and collaborating with clients to translate requirements into technical solutions.
The role involves onboarding new clients and implementing AI agent solutions through technical setup, integrations, and workflow optimization. The intern will act as a bridge between customers and internal product teams while troubleshooting complex implementation challenges.
The role involves engineering and managing API gateways and platforms. It focuses on platform implementation rather than enterprise infrastructure architecture.
Provide 24x7 application-level production support and manage incident support via ServiceNow. Perform root-cause analysis, log reviews, and implement vulnerability remediations while maintaining operational documentation.
Design, develop, and sustain enterprise middleware services and APIs. Manage IBM webMethods integrations and OpenShift-aligned application deployments.
Develop, refactor, and sustain secure Java-based applications in mission-critical environments. Ensure proper documentation and maintenance of API-based systems.
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Manage and optimize cloud infrastructure on Google Cloud Platform using Infrastructure as Code and CI/CD pipelines. Ensure the security, scalability, and observability of environments while collaborating with development teams on microservices architectures.
Design and deploy enterprise-grade AI solutions and conversational agents using Microsoft Copilot Studio and Power Platform. Integrate these tools with Microsoft 365, Azure services, and external APIs to automate business processes.
Lead the end-to-end design and delivery of enterprise AI systems, including agentic workflows and data foundations. Drive AI adoption across the engineering practice to accelerate the software development lifecycle.
Design and build scalable data ingestion, cleaning, and LLM enhancement pipelines to power AI applications. Implement AI guardrails and RAG architectures to ensure the accuracy and reliability of AI-ready datasets.
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