Specialist IS Engineer, Commercialization Technology
About this opportunity
Career Category
Engineering
Job Description
The Specialist IS Engineer will assist in designing, developing, and maintaining applications and associated data engineering solutions that meet business needs and ensuring the availability and performance of critical systems. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime.
You will be part of a team specifically focused on Amgen’s Commercialization business. Amgen is using fully integrated and best-in-class technologies, having various enterprise platforms such as AWS, Databricks, Salesforce, Planisware and Anaplan; enterprise collaboration platforms such as O365, SharePoint Online and MS Teams, as well as vertical-specific platforms in R&D, Operations, Process Development and Commercial/Marketing areas.
This role will manage the Amgen India Commercialization Technology product team members and be part of the R&D Informatics organization. They should also have experience leading and effectively working with large, diverse and globally dispersed teams within a matrixed organization. Extensive collaboration with global cross functional teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong background in the end-to-end software development lifecycle, experience with data integration, experience leading or mentoring junior engineers, and be a Scaled Agile practitioner, coupled with leadership and transformation experience. This role demands the ability to drive and deliver against key organizational critical initiatives and deliver high-quality results in a matrixed organizational structure.
Roles & Responsibilities:
Design, develop, and implement of software applications and modules
Take ownership of Development/configuration of user stories in collaboration with the Technical Product Owner and Technical Lead
Create and maintain documentation on design and configuration
Develop prototypes and proof-of-concepts
Contribute to both front-end and back-end development tasks using various Amgen preferred platforms/tools
Work with the team to troubleshoot and resolve technical issues, escalating when needed
Analyze business and technical requirements and translate them into development tasks
Execute unit and integration tests, and contribute to maintaining software and data quality
Identify and fix bugs and defects during development or testing phases
Contribute to the maintenance and support of solutions by monitoring performance and reporting issues
Lead development CI/CD pipelines as part of DevOps practices and assist in the release process
Lead and mentor junior engineers
Basic Qualifications and Experience:
Master’s /Bachelor's degree in Computer Science, Information Technology, or a related field with minimum 8 - 12 Years of Experience.
Functional Skills:
Must-Have Skills
Working experience in Agile or Scrum methodologies
Proficiency with cloud-based platforms (AWS) and system integration
Working knowledge of version control systems like Git & Release management tools
Fluent in enterprise collaboration platforms such as O365, SharePoint Online and MS Teams
Incorporate AI tools in daily activities as well as proactively seeking opportunities to utilize and extend AI toolsets into development work
Direct experience managing and/or coaching technical staff
Direct experience in working in global teams
Mastery with at least one programming language (Python, React, or similar)
Ability to balance strategic architecture with practical implementation, ensuring designs are executable and sustainable
Broad interest in various Amgen preferred platforms/tools
Eagerness to learn and grow in an engineering environment
Ability to work well within a team and communicate effectively
Good-to-Have Skills:
Experience with Amgen’s enterprise platforms (AWS, Databricks, SAP, Salesforce, Planisware)
Experience with Smartsheet/Excel/Tableau/Spotfire
Knowledge of Python/R, Databricks, cloud data platforms
Strong understanding of data governance frameworks, tools, and best practices.
Knowledge of data protection regulations and compliance requirements (e.g., GDPR)
Strong experience in solution design and architecture including system/data integration and scalability
Experience with popular large language models
Experience with prompt engineering, model fine tuning
Experience working with Large Language Models (LLMs) or Generative AI systems, particularly in retrieval-augmented generation (RAG) or data augmentation contexts.
Certifications related to Agile or any software or cloud platform are advantageous
Soft Skills:
Excellent analytical and troubleshooting skills
Comfortable to work effectively with global, virtual teams
High degree of initiative and self-motivation
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1097 comparable Information Technology roles across 55 biopharma companies.
Salary context
143 of 1097 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1097 comparable roles
+ 23 more countries
Seniority mix
612 of 1097 peers have a known seniority level
Therapeutic area mix
1 of 1097 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.