Sr Associate Software Engineer

Amgen•Jacksonville, FL

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Sr Associate Software Engineer What you will do Let’s do this. Let’s change the world. In this vital role you will contribute to the design, development, implementation, integration, and ongoing support of scalable software, data, and automation solutions that meet R&D Commercialization business needs and advance Amgen’s mission to serve patients. Working closely with product managers, analysts, architects, engineers, and business stakeholders, the Senior Associate Software Engineer translates business and technical requirements into secure, reliable, maintainable, and scalable solutions. The role contributes throughout the software development lifecycle, including solution design, development, configuration, testing, deployment, monitoring, incident response, and production support. The Senior Associate Software Engineer independently delivers moderately complex technical work and owns assigned applications, solutions, or workstreams from design through production support. The engineer contributes to software-engineering standards, code quality, DevOps automation, system observability, operational reliability, technical documentation, and continuous improvement. Depending on business needs, work may span application development, data engineering, APIs and system integrations, cloud and container platforms, workflow automation, low-code solutions, and AI-enabled capabilities.

Requirements

Master’s degree and 3 years of Information Systems experience OR Bachelor’s degree and 4 years of Information Systems experience OR Associate’s degree and 6 years of Information Systems experience OR High school diploma / GED and 8 years of Information Systems experience
Demonstrated experience developing, integrating, deploying, or supporting enterprise software or data solutions
Proficient in Python and SQL
Experience working with cloud, data, automation, or enterprise application platforms
Ability to independently deliver moderately complex technical assignments while collaborating effectively within a cross-functional team
Ability to quickly learn unfamiliar technologies, platforms, and business processes
Interest in Amgen-preferred platforms/tools such as Databricks, AWS, and others
Eagerness to learn and grow in a software development environment
Strong understanding of software architecture, modular development, design patterns, and maintainable application design
Proficiency in developing production-ready applications, services, data solutions, or automation using Python
Proficiency in SQL, relational data concepts, data transformations, and troubleshooting data-related issues
Strong ability to debug, investigate, and resolve software, integration, infrastructure, and data problems
Experience developing automation solutions using Python and one or more scripting, workflow automation, or low-code technologies such as PowerShell, Bash, Power Automate, Power Apps, or n8n
Experience developing or integrating APIs, web services, microservices, event-driven solutions, or enterprise application interfaces
Familiarity with CI/CD, DevOps practices, automated builds, automated deployment, application monitoring, logging, and operational support
Working knowledge of source-control and release-management practices using tools such as Git and GitLab
Experience troubleshooting production issues and participating in incident response, root-cause analysis, and remediation
Working knowledge of application security concepts, including secrets management, certificates, authentication, authorization, and access controls
Experience working within Agile or Scrum delivery methodologies
Ability to create clear technical documentation, including designs, diagrams, configuration instructions, and operational support procedures
Ability to communicate effectively with technical and nontechnical stakeholders and collaborate across global, virtual, and cross-functional teams
Excellent analytical, troubleshooting, and structured problem-solving skills
High degree of initiative, accountability, and self-motivation
Ability to independently organize and complete assigned work while appropriately seeking guidance and escalating risks
Ability to work effectively with global, virtual, cross-functional, and multidisciplinary teams
Strong attention to detail and commitment to software quality, security, documentation, and operational reliability

Nice To Haves

Experience delivering enterprise-grade software to production within a global, highly regulated, healthcare, pharmaceutical, or biotechnology environment
Experience with Databricks, Apache Spark, PySpark, Delta Lake, or related data-engineering technologies
Experience supporting applications or business stakeholders using integrations with technologies such as Salesforce, Tableau, Power BI, Databricks, AWS, or GitLab
Experience building and deploying containerized applications using Docker, Kubernetes, Rafay, AWS ECR, AWS EKS, AWS ECS, or Fargate
Experience with infrastructure automation, configuration management, or infrastructure-as-code technologies
Experience integrating AI services, large language models, retrieval-augmented generation, or intelligent automation into business applications and internal developer tools
Experience using AI-assisted development tools while maintaining appropriate controls for code quality, intellectual property, privacy, and cybersecurity
Experience with application monitoring, observability, alerting, and performance-management technologies
Familiarity with secure software-development practices, vulnerability remediation, identity integration, and cloud security controls
Working understanding of business operations in one or more of the following Drug Development Life Cycle areas: Research and Development, Commercialization, Operations, Process Development, Commercial, or Marketing
Experience working with geographically distributed development teams, vendors, business stakeholders, or managed-service providers
Relevant certifications in cloud technologies, software development, data engineering, DevOps, cybersecurity, Agile, or enterprise platforms

Responsibilities

Design, develop, configure, test, deploy, and support scalable enterprise software applications, platform capabilities, APIs, integrations, interfaces, reports, and automation solutions
Own the technical implementation of assigned user stories and workstreams in collaboration with product managers, analysts, architects, engineers, and other technical team members
Analyze business, functional, and technical requirements and translate them into technical designs, implementation tasks, data flows, integration patterns, and testable acceptance criteria
Develop production-ready applications, services, and automation solutions using Python, SQL, and other approved programming, scripting, workflow, and low-code technologies
Design, develop, and support data pipelines, transformations, integrations, and data-quality controls using technologies such as Python, SQL, PySpark, Databricks, and APIs
Develop and maintain APIs, web services, microservices, event-driven solutions, and enterprise application integrations
Contribute to front-end and back-end development using Amgen-preferred frameworks, platforms, and development tools
Build and deploy containerized solutions using Docker, Kubernetes platforms managed through Rafay, and applicable AWS container services such as ECR, EKS, ECS, or Fargate
Support DevOps and continuous-delivery practices, including source control, automated builds, CI/CD pipelines, release coordination, environment management, infrastructure automation, and deployment validation
Develop and maintain unit, integration, regression, and automated tests to improve solution quality and reduce recurring defects
Participate in peer reviews, code reviews, and technical design reviews, providing constructive feedback and ensuring adherence to established engineering standards
Monitor application, integration, and data-pipeline health using logging, alerting, and observability tools
Troubleshoot production incidents, software defects, integration failures, data issues, and performance problems; perform root-cause analysis and implement durable corrective actions
Manage or support application secrets, certificates, authentication, authorization, identity integrations, and other application security controls
Apply secure coding, access-control, data-protection, vulnerability-management, and applicable Amgen quality and compliance requirements throughout the software lifecycle
Rapidly develop prototypes and proofs of concept to evaluate technologies, demonstrate proposed solutions, and validate technical approaches
Create and maintain architecture diagrams, technical designs, API and integration specifications, configuration documentation, deployment procedures, operational runbooks, and support materials
Identify technical risks, delivery constraints, security concerns, and cross-system dependencies, escalating issues when broader architectural or leadership support is required
Participate actively in Agile or Scrum ceremonies, including backlog refinement, sprint planning, estimation, demonstrations, retrospectives, and continuous-improvement activities
Share technical knowledge and provide guidance to team members on assigned technologies, applications, and engineering practices
Responsibly use approved AI-assisted development tools to improve engineering productivity, testing, documentation, and code quality
Identify opportunities to incorporate AI-enabled capabilities into business applications, automation solutions, and internal developer tools while complying with security, privacy, and quality requirements