Jobs at Weekday, Inc.

Manage, deploy, and optimize Apache Kafka clusters and large-scale streaming platforms. Monitor performance, troubleshoot production incidents, automate operational tasks, implement capacity planning and disaster recovery, ensure security and compliance, create runbooks, and participate in on-call incident response to maintain highly available, scalable platform infrastructure.

Administer, maintain, and optimize enterprise SAS platforms to ensure availability, performance, security, and reliability. Perform installations, patches, upgrades, monitoring, performance tuning, troubleshooting, access management, backups/disaster recovery, and production support. Collaborate with infrastructure, analytics, and IT teams, develop documentation, and support migrations and deployments for large-scale SAS environments.

Lead design, implementation, and scaling of enterprise observability platforms (metrics, logs, traces). Migrate legacy monitoring to cloud-native solutions, manage observability on Kubernetes/OpenShift, build dashboards/alerts, develop Helm charts, automate workflows with Python/Bash, troubleshoot production issues, and provide architectural and team leadership to improve reliability and incident response.

Design, develop, and maintain automation solutions using VMware Aria Automation (vRA) and vRO. Build reusable blueprints and workflows for Day 0/1/2 lifecycle, integrate with enterprise systems, automate provisioning and configuration, troubleshoot and optimize automation, maintain version compatibility and documentation, and collaborate with platform and infrastructure teams to define standards and best practices.

Design and implement automation using VMware Aria Automation (vRA) and vRealize Orchestrator (vRO). Develop and manage vRA–vRO integrations for Day 0/1/2 use cases. Build reusable blueprints, workflows, and orchestration frameworks. Apply appropriate vRA vs vRO workflows and ensure version compatibility across vRA, vRO, and vCenter.

Provide Level 1 and Level 2 IT support for macOS and Windows; manage device lifecycle via MDMs; provision and troubleshoot identity/SSO/MFA; administer Google Workspace, Microsoft 365, Slack, Zoom and Atlassian apps; operate ITSM workflows and ticketing; maintain security compliance, documentation, and automation to improve employee technology experience.

Drive partner prospecting and generate Sales Qualified Opportunities across North America using AI-powered research and high-volume outbound outreach. Build and prioritize target account lists, engage decision-makers via multi-channel campaigns, qualify opportunities, and maintain CRM records. Deliver scalable partner pipelines and improve prospecting efficiency through automation and sales intelligence.

Build and maintain backend and frontend services using Node.js, JavaScript/TypeScript. Design APIs, work with SQL databases, containerize with Docker, deploy on GCP Cloud Run, participate in code reviews, troubleshoot issues, and collaborate with product, frontend, and QA teams to ensure scalable, reliable systems.

Review, validate, and annotate logistics documents (packing lists, bills of lading, inventory registers), evaluate supply chain workflows, recommend process improvements, provide structured feedback for AI training datasets, collaborate with cross-functional teams, and contribute to documentation and training resources to improve logistics operations.

Translate design specs into pixel-perfect, responsive web interfaces using TypeScript, CSS3, and HTML. Follow design systems and accessibility (WCAG) standards, optimize frontend performance, resolve spec ambiguities, collaborate remotely via documentation and code reviews, and provide frontend expertise to support AI model evaluation.

Owner of manual QA for web (customer site, admin panel, API) and mobile (iOS/Android). Design and run regression and functional tests, verify hotfixes and releases, triage live issues, use Postman/MySQL/LambdaTest/Firebase and analytics to monitor stability, and gradually introduce lightweight automation and AI tools to improve testing workflows.

Lead strategy, design, and delivery of a scalable AI platform for commercial lending. Own platform architecture, engineering best practices, risk and financial oversight, stakeholder engagement, and multi-team program delivery through senior governance to drive business transformation.

Lead design and delivery of scalable data solutions for retail, using Python, Snowflake, and SQL. Collaborate with business and IT stakeholders, review offshore code, mentor team members, translate requirements into architecture, monitor project progress, and ensure quality, performance, and timely delivery of data pipelines and warehouse solutions.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Design high-fidelity, mobile-first UI/UX for consumer mobile apps and websites using Figma. Build and maintain scalable design systems, prototypes, micro-interactions, and reusable components. Collaborate with product and engineering, conduct research, iterate from feedback, and deliver pixel-perfect assets and documentation.

Lead design, implementation, and optimization of compliance, legal, and HR technology platforms. Ensure HIPAA and data privacy compliance, manage integrations and vendors, drive digital transformation, develop governance and documentation, and deliver reporting, training, and operational support.

Lead end-to-end influencer strategy and execution for a multi-SKU beauty launch across micro to macro creators. Build and manage a pan-India creator network, collaborate with agencies, review content, and track performance (reach, engagement, conversions).

Own and maintain on-premises MLOps infrastructure to keep ML models reliable in production. Build deployment, monitoring, CI/CD, and tooling; troubleshoot Linux, Docker, and Kubernetes stacks; optimize model performance and throughput; collaborate with data scientists and engineers to productionize research artifacts and uphold high engineering standards.

Lead end-to-end recruitment marketing campaigns: plan and execute paid and organic content, manage content pipelines and calendars, measure campaign performance across channels, generate optimization insights, and coordinate with recruiters and stakeholders to improve candidate attraction and conversion.

Design, develop, and maintain SAP data extraction pipelines using SNP Glue to ingest SAP ECC/BW into Snowflake. Implement CDC-based ingestion, manage extractor delta logic and dependencies, orchestrate with Azure Data Factory, ensure data quality, perform SAP data structure analysis and mapping, and collaborate with data architects and ETL engineers for reliable analytics-ready data flows.