Top Tech Jobs & Startup Jobs

Develop and enhance custom software solutions using modern frameworks and agile practices. Collaborate across teams, troubleshoot complex issues, make technical decisions, mentor junior engineers, and improve development processes. The role requires Workday Advanced Compensation expertise, Workday certification, software development lifecycle knowledge, and at least five years of relevant experience.

Design, build, configure, and maintain applications using Spring Boot, RESTful services, and microservices architecture. Collaborate with team members, document application specifications, contribute to technical discussions, provide solutions, and participate in code reviews. The role also involves working with databases, front-end technologies, and Git while independently delivering high-quality software solutions.

Design, develop, and enhance custom software components using Apache Kafka and modern frameworks. Build scalable, fault-tolerant data pipelines, integrate Kafka with data-processing frameworks, and optimize cluster performance and reliability. Collaborate across teams, make technical decisions, improve development processes, and mentor junior engineers. The role requires subject-matter expertise, team leadership, and delivery of high-quality software solutions aligned with business needs.

Lead ServiceNow ITSM deployment and development, including planning, scheduling, budgeting, training, pilots, integrations, workflows, custom applications, and platform optimization. Develop and maintain Business Rules, Script Includes, client scripts, ACLs, catalog items, and automated workflows. Troubleshoot complex issues, support upgrades and releases, ensure ITIL-aligned best practices, collaborate with stakeholders, and mentor junior developers.

Design, build, configure, maintain, and enhance Salesforce applications using Lightning Web Components. Translate business requirements into functional software solutions, integrate components with backend services and APIs, optimize performance, document technical specifications, collaborate with stakeholders, and support junior team members. The role requires independent execution, subject-matter expertise, and active participation in technical discussions.

Support and administer Genesys Cloud CX contact center environments, including IVR, Architect Flows, queues, ACD, routing, users, roles, telephony, integrations, monitoring, and reporting. Troubleshoot production incidents, manage requests for change, maintain documentation, and coordinate with vendors, telecom providers, Genesys support, and internal teams to ensure platform stability and effective service delivery.

Develop, enhance, and maintain custom software solutions using Databricks, distributed computing, big data frameworks, and cloud-based data platforms. Design scalable data pipelines, optimize application performance, document technical solutions, collaborate with cross-functional teams, and contribute to agile development. The role also includes independently solving problems, participating in technical discussions, and mentoring junior team members.

Develops production-ready AI and machine learning applications using generative AI, cloud services, deep learning, neural networks, chatbots, and image processing. Responsibilities include translating requirements into technical solutions, testing and validating AI models, deploying solutions in cloud environments, preprocessing data, collaborating with teams, and contributing technical expertise independently.

Designs, builds, and maintains cloud-native AWS solutions incorporating AI and generative AI. Develops enterprise AI platforms, RAG applications, AI agents, knowledge bases, guardrails, and model integrations. Automates infrastructure and deployments through Infrastructure as Code and CI/CD, while ensuring security, scalability, observability, reliability, and cost efficiency. Collaborates with architects, engineers, and clients to deliver production-grade solutions, troubleshoot issues, and explore emerging AWS and AI capabilities.

Develop AI and machine learning applications using cloud AI services and production-ready deployment pipelines. Apply generative AI, deep learning, neural networks, chatbots, and image processing to business solutions. Collaborate across teams, make technical decisions, mentor team members, evaluate emerging technologies, and design APIs for AI applications using Python, machine learning frameworks, cloud platforms, Pandas, and NumPy.