Top Tech Jobs & Startup Jobs

Lead Salesforce implementations including standard configuration, custom development, and data migration. Work with source code, versioning and deployment standards, debug issues, integrate via REST/SOAP/ETL, and collaborate with Salesforce product teams in an agile environment.

Lead demand generation and ABM for North American industry verticals: translate business priorities into integrated multi-channel campaigns, drive pipeline and revenue, align with sales, measure MQL/SQL/influenced revenue, optimize with data, support events and field marketing, and manage/mentor marketing contributors.

Contract role to enable AI capabilities on a Data 4.0 platform using Snowflake Cortex. Build AI-ready and semantic data products, support metric intelligence, anomaly detection, and AI-assisted analysis. Define reusable implementation patterns, ensure alignment with data quality, governance, and access controls, and document platform considerations.

Lead integration of Salesforce Service Cloud and AWS Connect to build omni-channel support: design contact flows, telephony-CRM integrations, full-stack React/Node.js apps, AWS Lambda routing, AI chatbots, and technical governance while mentoring teams and collaborating with US stakeholders.

Design, build and maintain scalable, observable end-to-end data pipelines on AWS. Ingest data from REST APIs, transform and load into data lakes/warehouses, implement orchestration and monitoring, and explain technical solutions to stakeholders.

Contract role to build and maintain dbt models and analytics-ready datasets for financial services. Create reusable facts, dimensions, and marts; implement dbt tests, source freshness checks, and data quality validations; translate business requirements into data models and metric logic; document model definitions, lineage, and business rules; collaborate with analytics, product, and domain teams to ensure data fit for reporting and decisioning.

Lead data analysis and interpretation across the data product lifecycle, generate actionable visualizations and insights, define requirements with stakeholders, validate analytical products, monitor KPIs, support AI integration, collaborate with engineering and product teams, and mentor junior analysts.

Work embedded with clients to design, build, and operationalize production Generative AI solutions (RAG, agents, automations). Lead technical discovery, architecture, integrations with LLMs, cloud deployments, and mentor client engineering teams while delivering POCs, documentation, and scalable AI-powered systems.

Design, build, and maintain automated and manual tests across unit, integration, API, load, security, and usability levels. Develop test strategies, automation suites, CI/CD integration, analyze failures, manage defects, perform exploratory testing, and collaborate with developers and release teams to sign off releases and improve QA frameworks.

Develop reusable, deployable cloud security blueprints for Google Cloud Platform using Terraform. Implement modules and policies, write code (Java/Python/Go), test and document solutions, contribute to open-source projects, automate development tasks, and collaborate to propose and incorporate improvements.