Bhubaneswar, India | Posted on 07/21/2026
At Rhythm, our values form the foundation of our business. We are passionate about customer success, innovation, and our employees. They guide our actions, decisions, and interactions, ensuring that we consistently make a positive impact on the world around us.
Job Description
Company Overview
Rhythm Innovations is an innovative startup specializing in fleetrisk management. We are committed to driving customer delight throughinnovative 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 iscloud-agnostic: strong hands-on expertise with AWS is required, and experiencebuilding equivalent solutions on Azure or Google Cloud Platform (GCP) isequally valued. In this role, you will serve as a technical leader responsiblefor developing scalable data pipelines, serverless applications, and enterpriseintegration patterns that connect internal systems, third-party platforms, anddata sources across the organization.
You will work at the intersection of application development, dataengineering, and cloud architecture, applying API-led connectivity principlesand leveraging core cloud services for compute, storage, ETL/ELT, andrelational 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.
Key Responsibilities
- Define anddocument end-to-end integration architectures, including data flows, APIcontracts, event-driven patterns, and ETL/ELT pipelines using cloud-nativeservices (AWS, Azure, or GCP).
- Design andbuild API-led integrations following layered API principles (experience,process, and system APIs), with strong command of REST, and working knowledgeof GraphQL and/or gRPC where appropriate.
- Evaluate,recommend, and implement integration patterns (pub/sub, request-reply,choreography, orchestration) that align with organizational scalability andreliability goals, independent of the underlying cloud provider.
- Establisharchitectural standards, design blueprints, and reusable templates forintegration workloads across multiple business domains and cloud platforms.
- Design anddevelop serverless functions in Python , Node.js to power real-timeintegrations, event processing, and microservice orchestration (e.g., AWSLambda, Azure Functions, or GCP Cloud Functions/Cloud Run).
- Implementworkflow orchestration for complex, multi-step business processes anderror-handling strategies (e.g., AWS Step Functions, Azure Logic Apps/DurableFunctions, or GCP Workflows).
- Optimizecold-start performance, memory allocation, concurrency controls, and costefficiency across serverless workloads.
- Architectdata lake and data staging solutions on cloud object storage (e.g., Amazon S3,Azure Blob Storage, or Google Cloud Storage), defining bucket/containerstrategies, lifecycle policies, versioning, encryption, and access controls.
- Design andmanage relational database instances (PostgreSQL, MySQL, or Aurora on AWS;Azure SQL/Postgres/MySQL; or Cloud SQL/AlloyDB on GCP), including schemadesign, indexing strategies, read replicas, and automated failoverconfigurations.
- Implementsecure, performant data access patterns between storage, databases, anddownstream API consumers using private networking (VPC/VNet), IAM/role-basedaccess, and encryption at rest and in transit.
- Build andmaintain ETL/ELT jobs (e.g., AWS Glue/PySpark, Azure Data Factory/Synapsepipelines, or GCP Dataflow/Dataproc) to transform, enrich, and load data acrossstructured and semi-structured sources.
- Manage andoptimize data cataloging, crawlers/classifiers, and partition strategies forefficient data discovery and query performance.
- Designworkflows and triggers for orchestrating complex, dependency‑aware datapipelines with built‑in monitoring and alerting.
- Implementinfrastructure-as-code (IaC) using Terraform, or cloud-native tooling (AWSCloudFormation/CDK, Azure Bicep/ARM, or GCP Deployment Manager) to provisionand manage integration infrastructure reproducibly.
- Build andmaintain CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, GitLab CI, AWSCodePipeline/CodeBuild, or Google Cloud Build) for automated testing,deployment, and rollback of integration workloads.
- Establishcomprehensive observability using native or third‑party tooling (e.g.,CloudWatch/X‑Ray, Azure Monitor/Application Insights, Google Cloud OperationsSuite) to monitor latency, error rates, throughput, and cost metrics.
Key Qualifications
- Bachelor'sdegree in Computer Science, Software Engineering, Information Systems, or arelated field (or equivalent practical experience).
- 5+ years ofprofessional experience in software development, with at least 3 years focusedon 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 productionenvironments at scale; multi-cloud experience is a strong plus.
- Solidknowledge of APIs and API-led integration approaches — API design andversioning, API gateways, authentication/authorization (OAuth2, JWT), ratelimiting, and API lifecycle management.
- Strongproficiency in at least one of Python, Node.js (TypeScript), or Java, withexperience writing production-grade, testable code.
- Demonstratedexperience designing RESTful APIs, event-driven architectures, and ETL/ELT datapipelines.
- Workingknowledge of infrastructure-as-code tools (Terraform preferred, or acloud-native equivalent) and CI/CD automation.
- Solidunderstanding of relational database design, SQL optimization, and datamodeling best practices.
- Excellentcommunication skills with the ability to convey complex technical concepts toboth technical and non-technical stakeholders.
- Aprofessional cloud architecture or developer certification on AWS, Azure, orGCP (e.g., AWS Solutions Architect – Professional, Azure Solutions ArchitectExpert, or Google Professional Cloud Architect), or equivalent demonstrableexpertise.
- Experiencewith 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).
- Familiaritywith data governance frameworks, data quality tooling, and compliance standards(GDPR, HIPAA, SOC 2).
- Priorexperience in enterprise integration platforms (MuleSoft, Informatica, Talend,Boomi, or Apigee) and/or experience migrating or extending such workloads ontocloud-native services.
- Exposure tocontainerized workloads (e.g., ECS/Fargate/EKS, Azure Container Apps/AKS, orGCP Cloud Run/GKE) and hybrid or multi-cloud architectures.
- Experiencewith Apache Spark, Apache Kafka, or real-time streaming architectures.
What We Offer
- Opportunityto define and lead integration architecture at a growing startup.
- Collaborativeand dynamic work environment.
- Professionalgrowth and development opportunities.