Signify Technology
Job Title:
Staff Software Engineer
Job Type:
Perm
Salary:
Very Competitive based on exp.
Role Location:
On-site; Palo Alto, CA
The Company:
A fast-growing
AI technology company
building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure
to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists
to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems
that enable secure data retrieval, processing, and model integration. Ensure patient data protection
through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance
to meet enterprise reliability standards. Partner with
product managers and healthcare teams
to translate clinical needs into technical solutions. Mentor junior engineers , fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in
backend engineering
(Python, Go, or Java). Proven experience
building distributed systems
(databases, pub/sub, Kafka, Redis). Expertise in
cloud platforms
(GCP or Azure preferred; AWS acceptable). Proficiency with
Docker, Kubernetes, CI/CD , and cloud networking. Strong understanding of
SaaS architecture ,
data modeling , and
security/privacy frameworks . Excellent communication and collaboration skills. Ability to work
LATAM-based hours aligned with PST . Nice to Have: Familiarity with
LLM frameworks
(e.g., LangChain) or
vector databases
for AI/ML workloads. Experience in
healthcare or regulated environments
(HIPAA familiarity is a plus). Interest in
mentorship and architectural decision-making
at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signifys mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here
AI technology company
building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure
to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists
to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems
that enable secure data retrieval, processing, and model integration. Ensure patient data protection
through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance
to meet enterprise reliability standards. Partner with
product managers and healthcare teams
to translate clinical needs into technical solutions. Mentor junior engineers , fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in
backend engineering
(Python, Go, or Java). Proven experience
building distributed systems
(databases, pub/sub, Kafka, Redis). Expertise in
cloud platforms
(GCP or Azure preferred; AWS acceptable). Proficiency with
Docker, Kubernetes, CI/CD , and cloud networking. Strong understanding of
SaaS architecture ,
data modeling , and
security/privacy frameworks . Excellent communication and collaboration skills. Ability to work
LATAM-based hours aligned with PST . Nice to Have: Familiarity with
LLM frameworks
(e.g., LangChain) or
vector databases
for AI/ML workloads. Experience in
healthcare or regulated environments
(HIPAA familiarity is a plus). Interest in
mentorship and architectural decision-making
at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signifys mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here