Senior Software Engineer, Technical Lead

• Outcomes First:Focusing on what matters most and making timely informed decisions.
• Innovative:Embracing creativity and continuous improvement to drive novel solutions.
• Radical Candor:Communicating openly and honestly balancing direct feedback with genuine care.
• Never Satisfied:Pursuing excellence and continuous growth beyond the status quo.
• Resilient:Adapting and persevering through challenges turning obstacles into opportunities.

• Design implement test deploy andmaintainhigh-value production capabilities particularly in high-risk or cross-cutting areas.

• Define andmaintainsystems architecture across projects including service boundaries data flows interfaces integration patterns non-functional requirements technical roadmaps documented decisions and technical debt.

• Translate product and scientific needs into executable technical specifications and delivery plans;identifytechnical risksand use focused discovery whenadditionallearning is needed.

• Establish engineering standards for code review testing CI/CD documentation refactoring and maintainability; review high-risk changes and ensure AI-generated work meets the same standards as human-written code.

• Own cloud platform direction primarily in our AWS environment including serviceselection infrastructure as code deployment practices observability reliability security recovery performance and cost awareness.

• Provide technical leadership during production incidents; coordinate diagnosis and recovery lead rootcause analysis and ensure corrective actions improve the underlying platform.

• Evaluate and guide AI-enabled solutions whenappropriate including model provider retrieval integration evaluation privacy security observability fallback performance and cost considerations.

• Mentor and coordinate developers across two teams through technical planning delegation code review actionable feedback and resolution of technical disagreements.

• Identifyrecurring delivery operational and quality gaps; implement practical improvements and automation; and verify that changes improve outcomes.

• Communicate architecture technical tradeoffs risk uncertainty and investment needs clearly to technical and nontechnical stakeholders.

• Typically10 years of experience building and operating production software or equivalent demonstrated experience with comparable ownership of systems and outcomes.

• Deepexpertisein at least one modern programming language such as C TypeScript/JavaScript Python Rust or a comparable language with the ability to evaluate unfamiliar code frameworks and designs across the stack.

• Demonstrated experience taking production capabilities from ambiguous requirements through design implementation deployment and reliable operation.

• Demonstrated ownership of systems architecture across more than one project or team including service boundaries interfaces data models security and reliability requirements migration paths and technical debt.

• Hands-on experience selecting and configuring cloud services defining infrastructure as code deploying workloads diagnosing failures andoperatingproduction platforms.

• Strong software design testing code-review CI/CD debugging incident-response observability and root-cause-analysis practices.

• Experience leading technical planning prioritization delegation mentoring feedback and difficult technical tradeoffs for multiple developers or teams. Formal line-management experience is notrequired.

• Substantial recent experience using AI-assisted engineering tools withdemonstratedjudgment in providing effective context challenging generated designs and independently validating code and architecture.

• Strong written and verbal communication skills including the ability to explain complex technical decisions and uncertainty to varied audiences.

• Demonstrated ability toidentifydelivery or operational inefficiencies implement practical improvements and assess whether those changes improved results.

• AWS experience and hands-on use of Terraform CloudFormation or comparable infrastructure-as-code tools.

• Experience designing organization-level testing strategies or CI/CD pipelines.

• Experience designing relational or NoSQL data models scientific data-ingestion systems or data-validation platforms.

• Experience building scientific analytical or data-rich interfaces using visualization libraries such as or .

• Experience integrating AI or model-backed capabilities and addressing evaluation data handling privacy security failure modes observability fallback behavior performance and cost.

• Experience with data preparation model evaluation retrieval-augmented generation model deployment deep learning or related AI/ML platforms.

• Experience leading effectively in self-directed small-team environments with limited handoffs between engineering and operations.

• Interestin biomedical research particularly infectious diseases.

Digital Infuzion does not discriminate in employment on the basis of race color religion sex (including pregnancy and gender identity) national origin political affiliation sexual orientation marital status disability genetic information age membership in an employee organization retaliation parental status military service or other non-merit factor per Federal laws.

We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process please contact Talent Acquisition at The decision on granting reasonable accommodation will be made on a case-by-case basis.