Lead Software Engineer
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. Planet Pharma scores B on the Alion truth index.
Description
As a member of the R&D organization responsible for creating software for the development of innovative in vitro diagnostic solutions, the Senior Software Engineer contributes to the design and delivery of scalable, cloud-native software solutions by implementing modern software development practices, including microservices architecture, CI/CD, and infrastructure as code. The Senior Software Engineer works within established architectural frameworks, enhances CI/CD and infrastructure as code solutions, and develops reliable data pipelines and governance practices. The Senior Software Engineer collaborates with cross-functional teams-including data engineering, product management, and architecture-to translate requirements into well-engineered solutions, uphold governance and security standards, and drive continuous improvement through code reviews, prototyping, and technology evaluation.
Primary Duties
Contributes to the design and implementation of multi-tier, distributed, and event-driven systems using cloud-native services and modern design patterns.
Implements infrastructure as code (IaC) solutions using AWS CloudFormation, containerized applications (Docker/Kubernetes), and automated deployment workflows.
Designs and develops microservices-based applications that leverage AWS/ECS/EKS to ensure scalability, security, and resilience.
Designs and develops data pipelines using AWS Lambda, Glue, and other AWS services, following operational standards for availability, performance, and disaster recovery.
Designs and develops RESTful APIs and integrates them with internal and external systems.
Designs and implements data storage solutions, including data lakes and warehouses that enable analytic and operational workloads.
Applies data governance practices-such as data quality, lineage, and security-within the systems and pipelines developed.
Implements integration strategies, APIs, and real-time/stream data solutions to ensure reliable and scalable data flows.
Contributes to technical design discussions and ensures solutions align with system engineering and architectural guidance.
Produces and maintains high-quality system designs, technical documentation, and implementation specifications.
Participates in design reviews, code reviews, and pair programming sessions to share knowledge and promote modern development practices.
Evaluates new technologies, tools, and frameworks, providing recommendations that support technical excellence and business needs.
Works closely with multidisciplinary teams to translate business requirements into technical designs and implementation plans.
Collaborates with cross-functional teams to integrate and optimize processes across teams.
Participates in proof-of-concept efforts by developing prototypes that validate design assumptions and accelerate solution delivery.
Performs other duties as assigned.
Qualifications
Required Education, Training, and Experience
Bachelor’s degree in computer science, Data Engineering, Software Engineering, Biology, Microbiology, Clinical Laboratory Science, Biomedical Engineering, or a related technical or scientific field
7+ years of full stack development experience, including Java and modern web development frameworks such as Angular Suite.
Experience with AWS EC2, S3, Lambda Functions, ECS, EKS, RDS.
Proven experience with AWS integration/production systems using multiple managed services.
Solid grasp of security, compliance, and privacy fundamentals (least privilege, key management, network segmentation).
Experience developing and maintaining APIs or serverless patterns.
Influence and Code - Terraform (preferred) or AWS CDK/CloudFormation.
Implementation strategies for data integration.
Strong communication and collaboration skills.
Demonstrated architectural design patterns and automated quality gates to improve code health, reduce defects, and accelerate development.
Experience with relational databases (PostgreSQL, Oracle, etc.), advanced SQL.
Preferred Education, Training, and Experience
Compliance experience (e.g., HIPAA, SOX, ISO 13485, 21 CFR, or other related SDLC concepts).
Experience developing solutions using Python, including scripting, automation, or data processing workflows.
Automated unit and integration E2E testing framework (PyUnit, Selenium, etc.).