Top Tech Jobs & Startup Jobs

Develop, design, and enhance custom software solutions using Microsoft ASP.NET, modern frameworks, and agile practices. Responsibilities include collaborating with cross-functional teams, maintaining applications, documenting code changes, solving development problems, and supporting junior team members. The role requires object-oriented programming, web technologies, database integration, version control, and independent contribution toward scalable, high-performing applications.

Configure, customize, and support ServiceNow CSM applications. Manage releases, monitor system performance, troubleshoot issues, implement integrations and enhancements, document configuration changes, and maintain system stability. Collaborate with cross-functional stakeholders to align solutions with business needs, participate in team discussions, resolve technical problems, and mentor junior team members.

Configure, customize, and support ServiceNow HRSD applications, including HR Case and Knowledge Management, Employee Center, and Lifecycle Events. Manage releases, monitor performance, troubleshoot issues, document configuration changes, and implement integrations using APIs and low-code tools. Collaborate with stakeholders and cross-functional teams to deliver enhancements, maintain system stability, and provide technical guidance to junior team members.

Configure, customize, and support ServiceNow and other packaged or SaaS applications. Manage releases, integrations, performance monitoring, troubleshooting, impact analysis, and system stability. Collaborate with cross-functional teams to gather requirements and implement enhancements, document configuration changes, and maintain knowledge articles. The role also involves independently providing solutions, contributing to team discussions, and mentoring junior team members.

Develops and enhances custom software solutions using ServiceNow HRSD. Responsibilities include configuring HRSD modules, building integrations, scripting and automating workflows, gathering requirements, maintaining software components, documenting technical processes, and supporting agile delivery. The engineer works independently, contributes to technical discussions, solves development problems, and mentors junior team members.

Develop and deploy AI and Generative AI solutions for complex business problems. Build algorithms, statistical and machine learning models, data pipelines, and exploratory analyses using large datasets. Apply embeddings, prompt engineering, NLP, computer vision, and LLM fine-tuning across cloud platforms. Collaborate with clients and internal teams, investigate root causes, communicate insights to stakeholders, and adapt solutions to changing project requirements.

Designs, develops, and maintains scalable data solutions, pipelines, and ETL processes. Ensures data quality, reliability, and performance across systems while supporting data migration and deployment. Collaborates with cross-functional teams, documents workflows, troubleshoots data issues, and optimizes distributed data-processing jobs. The role also provides technical guidance to junior team members and contributes as a subject matter expert.

Develop and deploy generative AI, machine learning, and statistical solutions for complex business problems. Responsibilities include building AI algorithms, managing large datasets, conducting exploratory analysis, developing data pipelines, training and fine-tuning language models, deploying models on cloud platforms, and presenting insights to stakeholders while collaborating with internal teams and clients.

Develop and test AI algorithms for complex business problems, build generative AI and machine learning solutions, manage large datasets, perform exploratory and statistical analysis, develop data pipelines, and present insights to stakeholders. Collaborate with internal and external teams on consulting projects while applying technologies such as Azure OpenAI, Vertex AI, Python, SQL, Spark, and cloud platforms.

Develop and deploy generative AI algorithms, machine learning models, and data pipelines to solve complex business problems. Perform exploratory and statistical analysis on large datasets, investigate root causes, and deliver insights to stakeholders. Build and fine-tune large language models using cloud AI platforms and frameworks, collaborating with internal teams and clients to achieve project objectives.