
Senior Full Stack Engineer – Data Processing
1 week ago
Company Description
At Plumeria Tech, we transform ambitious ideas into AI-powered products that deliver real business impact. We provide end-to-end AI solutions tailored to the needs of startups and enterprises, from concept and design to development, deployment, and ongoing support. Our expertise spans custom AI applications, cloud deployment (AWS & Azure), product design, and offshore development labs. We combine on-site collaboration with offshore scalability to offer dedicated development teams that work as an extension of our clients' businesses. At Plumeria Tech, we believe in building smarter futures with AI innovation, empowering businesses to unlock growth, efficiency, and new opportunities.
About the Role:
We are seeking an experienced
Senior Full Stack Engineer
to design, build, and scale enterprise-grade applications with a focus on
data processing pipelines, system integrations, and cloud-native platforms
. You will work closely with cross-functional teams to develop robust backend services, intuitive frontends, and seamless integrations that power data-driven decision-making across the organization.
Key Responsibilities:
- Design and implement scalable
full-stack applications
with strong backend and frontend components. - Build and optimize
data processing workflows
for high-volume structured and unstructured data. - Develop
enterprise integration solutions
(APIs, microservices, event-driven architectures). - Ensure high performance, security, and compliance of applications in enterprise environments.
- Collaborate with architects, data engineers, and product teams to align solutions with business goals.
- Troubleshoot production issues, optimize system performance, and contribute to CI/CD automation.
- Mentor junior engineers and promote best practices in software engineering.
Required Skills & Experience:
- 6+ years of professional experience as a Full Stack Engineer.
- Strong proficiency in
backend technologies
(Java, Python, , or Go). - Hands-on experience with
frontend frameworks
(React, Angular, or ). - Expertise in
enterprise integration patterns
, REST APIs, gRPC, and message brokers (Kafka, RabbitMQ). - Strong understanding of
data processing frameworks
(Spark, Flink, or similar). - Experience with
cloud platforms
(AWS, Azure, or GCP) and containerization (Docker, Kubernetes). - Solid knowledge of
databases
(SQL, NoSQL) and data modeling. - Familiarity with
DevOps practices
and CI/CD pipelines.
Nice to Have:
- Experience with
ETL tools
and data orchestration (Airflow, Prefect). - Knowledge of
enterprise security standards
(OAuth2, SSO, IAM). - Familiarity with
streaming architectures
and real-time data systems.
Location:
Noida Uttar Pradesh [Onsite/Hybrid]
Employment Type:
Full-time
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