Senior Full Stack Engineer

Role Description

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

• Design, develop, test, and maintain enterprise applications across all phases of the AI Software Development Life Cycle (AI-SDLC), including requirements analysis, technical design, implementation, deployment.
• Build and deliver scalable, secure, and high-performing applications and APIs, ensuring alignment with enterprise architecture and engineering standards.
• Design and implement microservices-based, cloud-native solutions with a focus on scalability, resiliency, and operational readiness.
• Collaborate with product owners, architects, and cross-functional teams to translate business requirements into well-defined technical solutions and implementation plans.
• Develop backend services using Java (Spring Boot), and/or Python, ensuring maintainable, testable, and high-quality code.
• Develop front end applications using React/Angular/Next.js.
• Design, develop, and integrate RESTful APIs and enterprise system integrations to support end-to-end business workflows.
• Design and implement AI-powered solutions to address complex business problems, leveraging modern AI/GenAI technologies.
• Build and operationalize Agentic AI solutions, including multi-step orchestration, tool integration, and workflow automation.
• Knowledge on Adobe Experience Platform (AEP), including Real-Time Customer Profile, Identity Service, Data Ingestion, Adobe Journey Optimizer (AJO), and Campaign Orchestration capabilities.
• Build and integrate data warehousing solutions such as Snowflake and Databricks to manage large-scale data pipelines.
• Develop Backend Pipeline Frameworks: Leverage modern pipeline frameworks and tools to improve development productivity.
• Knowledge on RAG (Retrieval Augmented Generation) pipelines, enabling knowledge-driven and context-aware AI applications.
• Participate in and contribute to the AI Product Development Lifecycle (AI PDLC), including model development, evaluation, deployment, and monitoring of AI solutions.
• Implement and maintain CI/CD pipelines using GitHub Actions, enabling automated build, test, and deployment processes.
• Manage infrastructure provisioning using Infrastructure as Code (Terraform) and support cloud-native deployment models.
• Develop and deploy applications using Docker and Kubernetes (AKS), ensuring scalability and high availability.
• Manage artifact lifecycle using JFrog / Artifactory and support efficient build and release processes.
• Ensure adherence to Secure practices, including secure coding, vulnerability management, and compliance with enterprise standards.
• Participate in Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, ensuring timely and high-quality delivery.
• Ensure solutions meet quality, performance, and security standards, including code reviews, testing, and monitoring.
• Troubleshoot and resolve complex production issues, perform root cause analysis, and implement preventative fixes.
• Contribute to architecture discussions, design decisions, and engineering standards.
• Collaborate with stakeholders to drive continuous improvement, innovation, and adoption of modern technologies.
• Identify opportunities to automate processes, reduce technical debt, and improve system performance and efficiency.

Qualifications

• 4+ years of experience over API design, service integration, and backend system engineering.
• 4+ years of experience building API-driven platforms, reusable frameworks, and enterprise-grade integrations.
• 4+ years of experience engineering discipline Clean, testable, maintainable code, Debugging, performance tuning, and system optimization.
• 3+ years of Deep backend engineering experience with Java (Spring Boot) and Python, including Streaming i.e Spark/Kafka, Azure Event Hubs, or similar platforms for real-time data.
• 3+ years of proven expertise in designing and scaling microservices-based and distributed architectures, streaming technologies with strong focus on resilience, latency, and throughput.
• 3+ years of proven exposure to frontend frameworks (React/Angular/Next.js) to support end-to-end solution delivery.
• 3+ years of strong Azure cloud experience, building and operating cloud-native applications.
• 3+ years of experience in SQL for data manipulation and query optimization and knowledge of Python and Apache Spark (using PySpark) for building data pipelines; ability to write efficient code for batch and streaming data transformations.
• 3+ years of experience integrating data warehousing solutions such as Snowflake and managing large-scale data pipelines.
• 3+ years of hands-on experience implementing CI/CD pipelines using GitHub Actions, along with Terraform-based infrastructure provisioning.
• 3+ Strong experience with Docker and Kubernetes (AKS) for containerized deployments and JFrog / Artifactory for artifact lifecycle management.
• 2+ years of experience using Azure, Databricks or an equivalent cloud-based data platform.
• 2+ Hands-on experience building AI-enabled systems using Agentic AI architectures.
• 2+ years of experience in Python for AI pipelines, automation, and agent workflows.
• 1+ years of working knowledge of the AI PDLC lifecycle (build, evaluate, deploy, monitor).
• Advanced ability to communicate effectively with both technical peers and non-technical stakeholders.

Requirements

• Working Knowledge of Adobe Experience Platform (AEP), including Real-Time Customer Profile, Identity Service, Data Ingestion, Adobe Journey Optimizer (AJO), and Campaign Orchestration capabilities.
• Experience working in a team environment with agile methodologies.
• Should be comfortable participating in collaborative development (code reviews, pair programming when needed) with ownership mindset and problem-solving skills.

Benefits

• Paid Time Off which you start to accrue with your first pay period plus 8 Paid Holidays.
• Medical Plan options along with participation in a Health Spending Account or a Health Saving account.
• Dental, Vision, Life & AD&D Insurance along with Short-term disability and Long-Term Disability coverage.
• 401(k) Savings Plan, Employee Stock Purchase Plan.
• Education Reimbursement.
• Employee Discounts.
• Employee Assistance Program.
• Employee Referral Bonus Program.
• Voluntary Benefits (pet insurance, legal insurance, LTC Insurance, etc.).