A:20Labs

• Design, develop, and maintain full-stack features using React, TypeScript, and TailwindCSS on the frontend and Node.js with MongoDB on the backend • Build and consume REST APIs that power customer-facing eCommerce experiences • Write and maintain automated tests with Jest to ensure high product quality • Support deployments and contribute to the reliability of CI/CD pipelines • Leverage AI-driven development tools and practices to accelerate delivery and improve code quality • Collaborate closely with product owners, designers, and fellow engineers to translate business requirements into technical solutions

• Lead the design, development, and optimization of scalable data platforms and pipelines. • Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing. • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake. • Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions. • Implement data quality, validation, monitoring, and observability frameworks.

• Oversee the design, implementation, and maintenance of cloud infrastructure across AWS and Azure • Lead and manage a team of DevOps engineers — assigning tasks and ensuring best practices in deployment, monitoring, and security • Define and enforce CI/CD processes and infrastructure automation standards using Terraform • Own the implementation and governance of Landing Zones in both AWS and Azure • Ensure HIPAA compliance and security policies are followed across all environments • Drive adoption of observability tools like DataDog and establish logging standards • Coordinate incident response and root cause analysis for infrastructure issues • Build SLA frameworks for critical services and define strategies for auto-scaling, failure recovery, and disaster recovery • Collaborate with stakeholders to align DevOps strategies with business needs • Review and approve technical documentation produced by the team

• Lead infrastructure projects end-to-end: from problem definition and technical design through ticket creation, implementation, rollout, and documentation • Design and implement best-practice Infrastructure as Code (IaC) solutions • Automate the deployment, scaling, and management of application infrastructure • Maintain and optimize cloud systems to meet business and compliance requirements • Lead incident response and root cause analysis to ensure fast resolution and long-term prevention • Integrate security best practices into the infrastructure lifecycle to ensure compliance with data protection regulations • Collaborate with stakeholders across engineering and product teams to understand needs and communicate progress • Write comprehensive documentation of technical procedures, configurations, and deployed solution architectures • Work cross-functionally to identify where infrastructure automation and cloud solutions can solve real problems • At times, create and own your own tickets and backlog items

• Design, develop, and maintain backend services using Python and FastAPI, exposing clean REST APIs • Collaborate with frontend, backend, ML, and platform engineers to deliver end-to-end solutions • Containerize and deploy services using Docker and Kubernetes • Implement and maintain CI/CD and GitOps workflows for reliable, repeatable deployments • Support sprint planning, delivery coordination, and technical backlog refinement • Ensure systems meet high standards for security, scalability, performance, and reliability • Help translate customer and project requirements into clear technical deliverables • Support production readiness, monitoring, and continuous improvement of deployed services

• Partner directly with clients to assess infrastructure requirements, security constraints, and deployment preferences. • Design and implement deployment strategies for Kubernetes clusters across AWS, Azure, and on-premise environments. • Serve as the primary technical point of contact throughout the deployment lifecycle. • Troubleshoot complex deployment issues, distinguishing between infrastructure and application-level concerns. • Act as a system validator to ensure our solutions function seamlessly within client environments. • Gather client feedback to inform internal development priorities. • Continuously apply and improve deployment best practices and coach peers in their adoption.

• Maintain, develop, and enhance all parts of the ERP System (NetSuite). • Write reusable, testable, and efficient code, ensuring information security standards. • Optimize applications for speed, scalability, and robust performance. • Research, evaluate, and analyze technical and design requirements. • Troubleshoot and fix bugs or flaws within scripts to ensure full functionality of company systems. • Act as a technical point of contact for clients, providing support on integrations (APIs/EDIs). • Manage stakeholder expectations and validate requirements.

• Design, build, and optimize scalable data architectures leveraging Databricks on Azure. • Develop and maintain robust data pipelines, models, and warehousing structures using industry best practices. • Collaborate closely with engineering, analytics, and business stakeholders to translate requirements into technical designs. • Lead the implementation of ETL/ELT frameworks, ensuring data quality, security, and compliance. • Guide the integration of new data sources and deployment of new capabilities. • Define and enforce data governance, data modeling, and management standards. • Troubleshoot data and platform issues to ensure reliable and high-performing solutions. • Provide technical mentorship to junior team members on best practices and emerging tools.

• Partner directly with clients to assess infrastructure requirements, security constraints, and deployment preferences. • Design and implement deployment strategies for Kubernetes clusters across AWS, Azure, and on-premise environments. • Serve as the primary technical point of contact throughout the deployment lifecycle. • Troubleshoot complex deployment issues, distinguishing between infrastructure and application-level concerns. • Act as a system validator to ensure our solutions function seamlessly within client environments. • Gather client feedback to inform internal development priorities. • Continuously apply and improve deployment best practices and coach peers in their adoption.

• Build customer-specific software solutions • Design, develop, and maintain backend services using Python and FastAPI • Implement REST APIs and microservices supporting AI-driven engineering workflows • Extend existing platform applications with customer-specific integrations and services • Implement background workers, data processing pipelines, and model inference integrations • Design system architectures and technical solutions that integrate customer environments with the platform • Translate complex engineering workflows into robust, scalable software systems • Deploy and operate services using Docker and Kubernetes • Work directly with customers to understand technical workflows and constraints • Rapidly iterate on solutions based on real-world usage and feedback