Job Title: Junior Full Stack Engineer (Adtech)
Location: New York NY 10175 (1 day on-site, On site once a week)
FTE Role
- Moving
all data from GCP to AWS combing into single data structure and re
architecting platform to multi capabilities and platform enhancements, 4
or 5 big internal to external apps. Will be working side by side with
offshore team in India.
Main stack/Must have:
- Need
Node JS, Snowflake AWS , moving to AWS, Java
- Come
from an Adtech background
Job Description
Description:
Responsibilities:
- Architect and implement
high-performance, low-latency event-driven systems for real-time
applications, with a focus on scalability and fault tolerance.
- Design and optimize
distributed architectures for complex event processing, ensuring
sub-millisecond response times and high throughput.
- Lead the development of
scalable microservices, integrating event sourcing and other patterns for
data consistency and system resilience.
- Optimize runtime
performance, including memory management, concurrency, and I/O operations,
to meet stringent performance requirements.
- Design polyglot
persistence solutions, balancing SQL and NoSQL technologies for efficient
data storage and retrieval in high-volume environments.
- Implement real-time
analytics and reporting systems, focusing on meaningful insights for
business stakeholders and operational teams.
- Architect and develop
machine learning pipelines for predictive algorithms, integrating them
into real-time data flows.
- Design multi-region,
globally distributed systems that ensure data consistency and low latency
across geographies.
- Develop advanced
monitoring, alerting, and observability solutions focusing on key
performance indicators and business metrics.
- Architect data lake and
data warehouse solutions for large-scale analytics on historical data,
balancing performance, and cost-effectiveness.
- Lead the design and
implementation of Infrastructure as Code practices, ensuring consistent
and repeatable deployments across environments.
- Implement and optimize
container orchestration strategies, ensuring efficient resource
utilization and auto-scaling based on demand.
- Design and implement
robust data governance and compliance solutions, addressing regulatory
requirements in data-intensive systems.
- Develop advanced caching
and data access strategies to minimize latency and improve system
responsiveness.
- Conduct system design
reviews and performance audits, providing actionable recommendations for
improving scalability and efficiency.
Requirements:
- Degree in Computer Science
or related field, with 10+ years of software development experience,
including 3+ years in architect-level roles.
- Strong command over at
least one of Java, Python, or Go, with the ability to write
high-performance, production-grade code.
- Proven expertise in
designing and implementing large-scale, distributed event-driven systems
with a focus on high performance and low latency.
- Extensive experience with
real-time data processing, streaming architectures, and microservices
design patterns.
- Strong background in
database technologies (both SQL and NoSQL) and data modeling for
high-volume, real-time applications.
- Demonstrated ability to
architect and optimize globally distributed systems, including
multi-region deployments and data consistency strategies.
- Proficiency in cloud technologies (such as AWS, Azure, or GCP) and experience with Big Data technologies (e.g., Hadoop ecosystem, Spark, Kafka).
A reasonable, good faith estimate of the minimum and
maximum base salary for this position is $100K/Annum to $110K/Annum. There are full
benefits – Health insurance, 401K, PTO etc.
