Backend Developer

Senior Backend Developer

City: Orlando

State: Florida

Status: Accepting Candidates

Contract Duration: 12 months to start; however will extend up to 24 months and has potential for conversion

Job Overview Details:

The role requires a very senior (8 12 yrs) platform-owning engineer who can contribute immediately in a small high-visibility team.

MUST HAVES

Where to pivot sourcing:

Target 8 year Senior/Staff/Principal-level backend or platform engineers

Deep focus on streaming/event-driven systems (Kafka Kinesis/MSK messaging at scale)

Strong AWS ownership (Lambda is table stakes)

Experience integrating IoT or CV/ML outputs into production pipelines (integration not model building)

Fewer full-stack profiles; more backend/platform-first engineers

Supplier Call Notes:

Open to Florida only - 4 days a week onsite Friday is working from home.

Another thing they are looking to do is have a 90 min take home coding test that allows the manager to get further insights on how this person will fit and that they also need a good match for what we are looking for.

Skills needed:

Minimum 8 years of experience in Java core technologies AWS (lambda is a must have) node typescript kinsesis Kafka python experience working on AI/ML IoT platforms (not building the models themselves)

On the assessment they need to discuss things they fully owned

Someone who cant explain what an event driven system is not a good fit. They need have experience with Kafka (on prem) kinsesis (cloud distributed) MTT this is a key thing. ActiveMQ is another

They are going to be integrating the models into the platform for devices

Job Responsibilities (Assignment Description):

Design build and operate real-time event-driven systems that ingest and process data from edge devices

Develop backend services and streaming pipelines using Java and Python to transform model outputs into reliable consumable events

Architect and operate production systems on AWS with a strong focus on scalability cost efficiency observability and fault tolerance

Build clean versioned event schemas and APIs that integrate with downstream consumers and external systems

Partner with Machine Learning hardware and downstream application teams to operationalize model outputs at scale

Drive technical decisions write design documentation and act as an owner for critical components of the platform

Basic Qualifications

8 years of professional software engineering experience with significant ownership of distributed production systems

Strong experience building real-time or streaming data pipelines (event ingestion aggregation windowing and emission)

Deep hands-on experience with AWS (e.g. streaming/messaging compute data stores and infrastructure-as-code)

Expert-level proficiency in Java and strong proficiency in Python

Experience integrating IoT edge or computer-vision-adjacent systems into cloud platforms

Strong understanding of event-driven architecture schema evolution and downstream consumer integration

Proven ability to design systems that are observable resilient and scalable

Preferred Qualifications

Camera-based or computer-vision systems (object detection counting zone or boundary detection)

Operating high-visibility systems with strict performance and reliability expectations

Experience with stream processing frameworks or high-throughput messaging systems

Building systems that handle sensitive or privacy-relevant data with strong security and access controls

Required Education Bachelors or 17 years Equivalent Work Experience