We are seeking a skilled and motivated Software Engineer with strong experience in
C++
and
Python
development in
Linux environments
, along with expertise in containerization and orchestration using
Docker
and
Kubernetes
. The role involves building high-performance medical imaging applications, with a focus on system-level programming, debugging, and optimization.
Key Responsibilities:
Design, develop, and maintain software components using
C++
and
Python
in
Linux-based environments
.
Build and deploy containerized applications using
Docker
and manage orchestration with
Kubernetes
.
Implement and optimize
multi-threaded
applications for performance and scalability.
Perform advanced
debugging
and troubleshooting across distributed systems.
Ensure efficient
memory management
and resource utilization in performance-critical applications.
Collaborate with cross-functional teams including QA, product managers, and clinical experts.
Participate in design reviews, code reviews, and contribute to architectural decisions.
Document software designs, workflows, and technical specifications.
Stay current with emerging technologies and best practices in software engineering and medical imaging.
Required Skills & Qualifications:
Strong proficiency in
C++
and
Python
development on
Linux
.
Hands-on experience with
Docker
and
Kubernetes
for containerization and orchestration.
Deep understanding of
multi-threading
, concurrency, and synchronization.
Proven experience in
debugging
and performance tuning.
Expertise in
memory management
and low-level system programming.
Familiarity with development tools such as Git, Visual Studio Code, and profiling/debugging utilities.
Bachelor's degree in Computer Science Engineering, or related field.
Excellent analytical and communication skills.
Desired Skills:
Experience working with
DICOM
standards and medical imaging workflows.
Exposure to healthcare or medical device software development.
Work Experience
Refer Job description above
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