Jobs at Weekday, Inc.

Create and execute internal communication campaigns and social media content to boost employee engagement and brand presence. Produce written, visual, and short-form video content, manage publishing and community engagement across Instagram, YouTube, LinkedIn, and email, monitor performance metrics, and collaborate with stakeholders to drive advocacy and storytelling that captures workplace culture and events.

Design and build scalable, AI-native backend microservices (Java/Spring Boot) using hexagonal architecture. Own domain models, Kafka event contracts, DB schemas (MongoDB, PostgreSQL, Cosmos), Temporal workflows, and AI integration patterns. Ensure performance, reliability, observability, and mentor engineering teams.

Design, build, and maintain scalable ETL/ELT pipelines into Snowflake; develop and optimize SQL-based data warehouse solutions; create Power BI dashboards; ensure data quality, performance tuning, documentation, stakeholder collaboration, and governance for enterprise reporting.

Proactively engage prospective learners via cold calling and lead follow-ups, assess career goals, recommend suitable programs, manage the full sales cycle to enrollment, maintain CRM records, hit sales targets, collaborate with internal teams for onboarding, and identify growth opportunities.

Design, develop, and deploy enterprise automation solutions using Microsoft Power Automate Cloud and Power Platform. Analyze processes, build cloud flows and integrations with Microsoft 365, SharePoint, Dynamics 365, SQL Server and REST APIs. Ensure governance, security, scalability, and provide production support, monitoring, testing, and documentation.

Design, develop, and maintain scalable backend services using Java and Spring Boot; build microservices and event-driven systems with Apache Kafka; collaborate with product and engineering teams; write tests, perform code reviews, troubleshoot production issues, optimize performance and security, and mentor junior engineers. Evaluate and integrate AI capabilities when appropriate.

Design, maintain, and execute automated test scripts and frameworks for web applications and APIs. Convert manual cases to reusable automation, run regression and integration suites, report defects, validate APIs, integrate tests with CI/CD, and collaborate with engineers and product teams to improve test coverage and quality standards.

Design, develop, and maintain scalable automation frameworks and test suites using Java and Selenium. Create and execute automated tests for web and API, integrate tests into CI/CD, identify and track defects, perform regression and functional testing, analyze results, and mentor junior QA engineers to improve quality engineering practices.

Lead deployment, updates, and operational support for cloud environments. Ensure availability, scalability, performance, and reliability; define SLAs/SLOs/SLIs; drive IaC and automation; improve monitoring, observability, and security; perform RCAs and cost optimizations; collaborate with cross-functional teams to deliver reliable services.

Design, build, and maintain automated testing frameworks for enterprise cloud applications. Drive automation initiatives, define quality standards, improve test coverage, and collaborate with engineering, product, and cross-functional teams to ensure reliability, performance, and stability of software platforms.

Lead CIO/PMO transformation programs, build scalable PMO governance, manage cross-functional risks and dependencies, define KPIs and metrics, produce C-suite deliverables, and maintain real-time dashboards (Jira/Confluence/AI) to drive enterprise AI initiatives and program delivery.

Lead design and implementation of scalable Java Spring Boot microservices using hexagonal architecture. Own domain models, service boundaries, and Kafka event contracts. Build resilient REST APIs and Kafka pipelines, design schemas for MongoDB/Postgres/Cosmos DB, implement Temporal workflows, integrate AI/LLM model serving, and mentor engineering teams while ensuring reliability, scalability, and observability.

Lead research, design, and productionization of AI solutions focusing on Agentic AI, LLMs, and recommendation systems. Build scalable ML pipelines, deploy and monitor models, mentor teams, define AI strategy, and collaborate with product and engineering to deliver measurable business outcomes.

Lead design and implementation of scalable Java microservices using hexagonal architecture. Own domain models, Kafka event contracts, and multi-tenant data schemas (MongoDB, PostgreSQL, Cosmos DB). Build resilient REST APIs and Kafka pipelines, optimize performance across services and data layers, integrate AI/LLM model serving and gateways, implement campaign workflows with Temporal, and mentor engineering teams to raise reliability, scalability, and observability standards.

Manage and support a business-critical Salesforce CRM environment, act as primary contact for Salesforce requests and incidents, handle Jira tickets, maintain data quality, build reports/dashboards, document processes in Confluence, collaborate with global stakeholders, gather requirements, troubleshoot issues, and drive continuous improvements across Sales and Service Cloud.

Design and develop system-level and API automation tests, lead automation initiatives, introduce automation tools/platforms, collaborate with Platform and Integration teams, troubleshoot issues, and document/report results.

Create high-quality digital and print assets using generative AI and traditional design tools. Convert AI concepts into polished, brand-aligned, production-ready creatives for social, web, packaging, and marketing. Support basic video/motion needs, collaborate with cross-functional teams, manage multiple projects, and stay current on AI and design trends to improve workflows.

Design, develop, and maintain scalable cloud-based data pipelines and ETL/ELT processes. Build and optimize data solutions on GCP (BigQuery, Dataflow), ensure data quality, governance, monitoring, and high availability. Develop backend data processing services in Java, support BI, analytics, and ML teams, troubleshoot pipeline issues, and contribute to data platform architecture and modernization.

Provide excellent in-store customer service by greeting customers, understanding needs, recommending products, and closing sales. Support daily retail operations including billing, stock replenishment, inventory checks, and visual merchandising. Maintain up-to-date product knowledge, handle customer queries and feedback, assist in promotions and events, and keep accurate customer interaction records while contributing to process improvements and meeting individual and store sales targets.

Lead architecture, development, deployment, and scaling of LLM, NLP, and Computer Vision solutions. Build RAG, prompt engineering, fine-tuning, multimodal AI, and production ML pipelines. Mentor data scientists, drive AI strategy, ensure model governance, and collaborate with product, engineering, and business stakeholders to deliver enterprise AI systems.