Top Tech Jobs & Startup Jobs

Design, develop, enhance, and optimize custom software solutions using OpenText EIM, modern development frameworks, and agile practices. Lead technical decisions, coordinate project activities, troubleshoot complex issues, and ensure scalable, maintainable architectures. Collaborate with multiple teams and stakeholders, facilitate alignment with business goals, mentor junior engineers, and support timely, high-quality delivery.

Develop and enhance custom Java full-stack software solutions using modern frameworks and agile practices. Design, code, troubleshoot, and optimize scalable applications while collaborating with cross-functional teams to gather requirements and address business needs. Document development processes, contribute to technical solutions, and guide junior team members. The role requires strong front-end and back-end development skills, database integration knowledge, and at least three years of Java full-stack experience.

Designs and optimizes generative AI solutions for infrastructure and application managed services. Responsibilities include prompt engineering, Python-based microservices, API and model orchestration, RAG and agentic workflows, token optimization, schema transformation, model evaluation, data privacy compliance, and solution documentation.

Lead generative AI, machine learning, decision science, and cloud analytics projects for high-tech clients. Design and fine-tune NLP, computer vision, multimodal, and agentic AI solutions; build retrieval pipelines, data pipelines, feature stores, predictive models, and recommendation engines. Deploy and govern scalable workflows using Azure or AWS MLOps tools while managing client delivery and stakeholder relationships.

Design, develop, test, and maintain responsive web applications using React, TypeScript, JavaScript, HTML5, and CSS3. Collaborate with architects, QA teams, and cross-functional stakeholders; participate in code reviews, unit testing, debugging, defect resolution, and Agile SDLC activities. Contribute to scalable application enhancements, continuous improvement, and secure development practices while using CI/CD and AI-assisted development tools.

The Workday HCM Consultant leads project kickoffs and discovery, reviews integration designs and builds, coordinates with Workday Delivery Assurance, manages resources, develops delivery timelines with project managers, and provides status updates to clients and internal stakeholders. The role requires handling Workday integrations, collaborating with onshore counterparts, supporting implementation or production support activities, and working hybrid from Accenture offices in the Philippines.

Configure and support ServiceNow SOM/SOMT and Logik CPQ solutions, including product catalogs, order decomposition, orchestration, fulfillment, activation, pricing, and integrations with OSS/BSS and external systems. The role requires troubleshooting, lifecycle management, Agile/SAFe delivery, and collaboration on user stories. Telecommunications experience and knowledge of TM Forum standards are preferred.

Develop and enhance custom software components using Apache Kafka, event-streaming architectures, distributed systems, and agile practices. Collaborate with cross-functional teams to gather requirements, document solutions, troubleshoot and optimize Kafka clusters, and deliver scalable, reliable applications. The role also involves independent ownership, contributing to technical discussions, solving development challenges, and mentoring junior team members.

Develop and enhance scalable custom software components using modern frameworks and agile practices. Translate complex business requirements into technical solutions, support system integration, and improve software quality and productivity. Serve as a subject matter expert, advise multiple teams, make technical decisions, establish best practices, and mentor junior team members. The role requires deep SAP MM Materials Management expertise and extensive software development experience.

Develops generative AI, machine learning, predictive analytics, recommendation, and optimization solutions for high-tech clients. Responsibilities include fine-tuning NLP, computer vision, and multimodal models; building autonomous agent workflows and retrieval pipelines; implementing cloud-based data science workflows; managing large datasets and feature engineering; and delivering client projects involving marketing, supply chain, and sales analytics. The role also requires stakeholder communication and delivery management.