Company Overview

Rhythm Innovations is an innovative startup specializing in fleet
risk management. We are committed to driving customer delight through
innovative solutions and a customer-centric approach. As we continue to grow.

Position Overview

We are seeking a highly skilled Integration Developer to design,
build, and maintain cloud-native, API-led integration solutions. This role is
cloud-agnostic: strong hands-on expertise with AWS is required, and experience
building equivalent solutions on Azure or Google Cloud Platform (GCP) is
equally valued. In this role, you will serve as a technical leader responsible
for developing scalable data pipelines, serverless applications, and enterprise
integration patterns that connect internal systems, third-party platforms, and
data sources across the organization.

You will work at the intersection of application development, data
engineering, and cloud architecture, applying API-led connectivity principles
and leveraging core cloud services for compute, storage, ETL/ELT, and
relational data - for example AWS Lambda / S3 / Glue / RDS, Azure Functions /
Blob Storage / Data Factory / Azure SQL, or GCP Cloud Functions / Cloud Storage
/ Dataflow / Cloud SQL - to deliver robust solutions that drive business value.

Requirements

Key Responsibilities

•         Define and
document end-to-end integration architectures, including data flows, API
contracts, event-driven patterns, and ETL/ELT pipelines using cloud-native
services (AWS, Azure, or GCP).

•         Design and
build API-led integrations following layered API principles (experience,
process, and system APIs), with strong command of REST, and working knowledge
of GraphQL and/or gRPC where appropriate.

•         Evaluate,
recommend, and implement integration patterns (pub/sub, request-reply,
choreography, orchestration) that align with organizational scalability and
reliability goals, independent of the underlying cloud provider.

•         Establish
architectural standards, design blueprints, and reusable templates for
integration workloads across multiple business domains and cloud platforms.

•         Design and
develop serverless functions in Python , Node.js to power real-time
integrations, event processing, and microservice orchestration (e.g., AWS
Lambda, Azure Functions, or GCP Cloud Functions/Cloud Run).

•         Implement
workflow orchestration for complex, multi-step business processes and
error-handling strategies (e.g., AWS Step Functions, Azure Logic Apps/Durable
Functions, or GCP Workflows).

•         Optimize
cold-start performance, memory allocation, concurrency controls, and cost
efficiency across serverless workloads.

•         Architect
data lake and data staging solutions on cloud object storage (e.g., Amazon S3,
Azure Blob Storage, or Google Cloud Storage), defining bucket/container
strategies, lifecycle policies, versioning, encryption, and access controls.

•         Design and
manage relational database instances (PostgreSQL, MySQL, or Aurora on AWS;
Azure SQL/Postgres/MySQL; or Cloud SQL/AlloyDB on GCP), including schema
design, indexing strategies, read replicas, and automated failover
configurations.

•         Implement
secure, performant data access patterns between storage, databases, and
downstream API consumers using private networking (VPC/VNet), IAM/role-based
access, and encryption at rest and in transit.

•         Build and
maintain ETL/ELT jobs (e.g., AWS Glue/PySpark, Azure Data Factory/Synapse
pipelines, or GCP Dataflow/Dataproc) to transform, enrich, and load data across
structured and semi-structured sources.

•         Manage and
optimize data cataloging, crawlers/classifiers, and partition strategies for
efficient data discovery and query performance.

•         Design
workflows and triggers for orchestrating complex, dependency-aware data
pipelines with built-in monitoring and alerting.

•         Implement
infrastructure-as-code (IaC) using Terraform, or cloud-native tooling (AWS
CloudFormation/CDK, Azure Bicep/ARM, or GCP Deployment Manager) to provision
and manage integration infrastructure reproducibly.

•         Build and
maintain CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, GitLab CI, AWS
CodePipeline/CodeBuild, or Google Cloud Build) for automated testing,
deployment, and rollback of integration workloads.

•         Establish
comprehensive observability using native or third-party tooling (e.g.,
CloudWatch/X-Ray, Azure Monitor/Application Insights, Google Cloud Operations
Suite) to monitor latency, error rates, throughput, and cost metrics.

Key Qualifications

•         Bachelor's
degree in Computer Science, Software Engineering, Information Systems, or a
related field (or equivalent practical experience).

•         5+ years of
professional experience in software development, with at least 3 years focused
on integration architecture and cloud-native development.

•         Deep,
hands-on expertise with at least one major cloud platform (AWS, Azure, or GCP)
across compute, storage, ETL, and relational database services in production
environments at scale; multi-cloud experience is a strong plus.

•         Solid
knowledge of APIs and API-led integration approaches — API design and
versioning, API gateways, authentication/authorization (OAuth2, JWT), rate
limiting, and API lifecycle management.

•         Strong
proficiency in at least one of Python, Node.js (TypeScript), or Java, with
experience writing production-grade, testable code.

•         Demonstrated
experience designing RESTful APIs, event-driven architectures, and ETL/ELT data
pipelines.

•         Working
knowledge of infrastructure-as-code tools (Terraform preferred, or a
cloud-native equivalent) and CI/CD automation.

•         Solid
understanding of relational database design, SQL optimization, and data
modeling best practices.

•         Excellent
communication skills with the ability to convey complex technical concepts to
both technical and non-technical stakeholders.

•         A
professional cloud architecture or developer certification on AWS, Azure, or
GCP (e.g., AWS Solutions Architect – Professional, Azure Solutions Architect
Expert, or Google Professional Cloud Architect), or equivalent demonstrable
expertise.

•         Experience
with additional managed services for messaging, streaming, or eventing (e.g.,
EventBridge/SQS/SNS/Kinesis on AWS; Service Bus/Event Grid/Event Hubs on Azure;
Pub/Sub on GCP).

•         Familiarity
with data governance frameworks, data quality tooling, and compliance standards
(GDPR, HIPAA, SOC 2).

•         Prior
experience in enterprise integration platforms (MuleSoft, Informatica, Talend,
Boomi, or Apigee) and/or experience migrating or extending such workloads onto
cloud-native services.

•         Exposure to
containerized workloads (e.g., ECS/Fargate/EKS, Azure Container Apps/AKS, or
GCP Cloud Run/GKE) and hybrid or multi-cloud architectures.

•         Experience
with Apache Spark, Apache Kafka, or real-time streaming architectures.

Benefits

What We Offer

•         Opportunity
to define and lead integration architecture at a growing startup.

•         Collaborative
and dynamic work environment.

•         Professional
growth and development opportunities.