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, and maintain high-value production capabilities, particularly in high-risk or cross-cutting areas. 

• Define and maintain systems 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; identify technical risks and use focused discovery when additional learning 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 service selection, infrastructure as code, deployment practices, observability, reliability, security, recovery, performance, and cost awareness. 

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

• Evaluate and guide AI-enabled solutions when appropriate, 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. 

• Identify recurring 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. 

• Typically 10+ years of experience building and operating production software, or equivalent demonstrated experience with comparable ownership of systems and outcomes. 

• Deep expertise in 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, and operating production 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 not required. 

• Substantial recent experience using AI-assisted engineering tools, with demonstrated judgment 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 to identify delivery 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 D3.js or Three.js. 

• 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. 

• Interest in 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 careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

Powered by JazzHR