Responsible for the entire software life cycle – design, development, test, release, maintenance and translates business needs into working software, focusing on large-scale event-driven architectures, real-time data processing, and API-driven systems that integrate OMS platforms.
Responsibilities
Responsible for the end-to-end software development lifecycle (SDLC) – including design, development, testing, release, and maintenance.
Translate business requirements into scalable, reliable, and efficient software solutions.
Develop high-quality, maintainable, and well-documented code.
Perform unit testing and support integration and system testing activities.
Participate in code reviews to ensure quality and consistency.
Requirements
B. Tech/ B.E/ MS from a premier engineering college
Design, build, and operate the cloud infrastructure and backend services to move mission-critical sensor data from radars in the field to operators.
Compensation
$140k–$240k base + pre-IPO stock options
Responsibilities
Design and run Azure infrastructure as code with Terraform: networking, Azure Container Apps, managed databases and CI/CD pipelines
Build and own high-throughput Python (FastAPI) services and the data layer behind them (PostgreSQL/TimescaleDB, Redis, Cosmos DB) for real-time sensor data
Own security, reliability and observability: identity and access, secrets, network isolation, monitoring and alerting (Datadog), incident response
Scale a platform already in production as sensors, customers and deployments grow
Define the architecture of the next-generation platform with engineering teams across the company
As a Data Platform Digital Solution Engineer (DSE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You will work directly with technical and business stakeholders to design secure, scalable, and resilient database and analytics architectures that support business-critical applications and Frontier AI transformation.
Responsibilities
Lead Databases & Analytics customer engagements
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
Drive technical workshop using live demos, co-create with customers whiteboarding & architecture, rapid prototyping, hands-on proofs of concept & pilots to resolve technical blockers
Prove technical solutions, co-create or re-use existing architecture to influence solution design and enable customer commitment for deployments
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric including OneLake, Azure Databricks, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL
Requirements
Bachelor's Degree in Computer Science, Information Technology, or related field
Master's Degree in Computer Science, Information Technology, or related field
Nice to have: Cloud and hybrid or on premises infrastructure architecture designs
Design, build, and operate intelligent products, platforms, agents, and experiences that power Delivery Excellence and deliver good value to our users and customers.
Responsibilities
Design, build, test, deploy, and operate products, platforms, and services across one or more Microsoft clouds, including Azure, Dynamics 365, and Microsoft 365
Translate business and technical requirements into scalable, secure, reliable, and maintainable solutions
Apply modern engineering practices, including Agentic Software Engineering tools and AI-assisted SDLC capabilities, to improve engineering productivity and quality
Collaborate with product management, partner teams, and service owners to deliver customer and business value
Participate in architecture and design discussions and contribute to technical design decisions
Own and evolve the data foundation of our enterprise telematics SaaS platform, managing high-throughput ingestion from IoT devices, transformation, storage across Cosmos DB and Azure Data Explorer, and analytics delivery.
Compensation
Annual Base Salary Range or Hourly Base Pay Range:
$127,110.00 - $177,870.00
Responsibilities
Own the design and evolution of the platform's end-to-end data architecture across Cosmos DB, Azure Data Explorer (ADX), Azure SQL, and Fabric
Architect and optimize Cosmos DB for high-throughput IoT workloads
Build and manage ADX clusters
Design and manage Azure SQL schemas, stored procedures, and ETL jobs
Architect data flow across the hot path, warm path, and cold/analytics path
Administer and support PaaS-hosted databases: Azure Database for MySQL/PostgreSQL, AWS RDS/Aurora, Google Cloud SQL, ElastiCache/Azure Cache for Redis, and managed NoSQL services (Cosmos DB, DynamoDB, MongoDB Atlas). Monitor database health, performance, and capacity using native cloud tools (CloudWatch, Azure Monitor, Stackdriver) and third-party monitoring solutions.
Responsibilities
Administer and support PaaS-hosted databases
Monitor database health, performance, and capacity
Perform routine maintenance: patching, version upgrades, backup/restore validation, and disaster recovery testing
Manage high availability configurations (replication, clustering, failover)
Handle incident response, root cause analysis, and performance tuning
Requirements
Any graduate
Nice to have: Cloud certifications (AWS Certified Database – Specialty, Azure Database Administrator Associate, or GCP Professional Cloud DBA)
Senior Software Engineer to join the Document Intelligence Worker platform, designing and operating pipelines and services for automated document understanding and AI-driven capabilities across Aramark.
Responsibilities
Design, build, and own components of the Document Intelligence Worker pipeline, including ingestion, classification, extraction, and downstream delivery.
Architect and implement event-driven processing using Azure Blob Storage, Event Grid, and Service Bus.
Build and productionize AI agentic workflows using Azure AI Foundry.
Implement and maintain retrieval and indexing layers using Azure AI Search and Cosmos DB.
Design and build the application layer for agentic AI solutions, including backend services and React-based user interfaces.
Requirements
BS or MS in Computer Science, Data Engineering, Data Science, or a related field
Join the Business Technology team to build high-quality software solutions for internal and external customers of the Maples Group, leveraging AI and agentic technologies.
Responsibilities
Work with business analysts and stakeholders to understand business needs and clarify requirements
Collaborate with the Scrum team to refine backlog items, define acceptance criteria, estimate work, and break larger items into deliverable sprint tasks
Design, develop, test, and deliver high-quality software throughout the sprint cycle
Leverage AI and agentic technologies to drive innovation, automate business processes, and enhance operational efficiency
Contribute to CI/CD pipelines, release automation, and Infrastructure as Code practices using Azure DevOps, Terraform, Bicep
Requirements
Nice to have: Domain-Driven Design (DDD)
Nice to have: CQRS
Nice to have: Microservices
Nice to have: Message-based or event-driven architectures
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