Jobs at PeerIslands

Design, build, and maintain cloud-native ETL/data pipelines using Databricks and AWS Glue. Ingest and transform structured and semi-structured data with PySpark, Python, and SQL. Integrate sources including MongoDB, implement data quality checks, optimize pipeline performance, and support production deployments, monitoring, and troubleshooting while collaborating with architects and analysts.

Lead design and implementation of multi-language, scalable distributed systems and microservices. Provide technical leadership on architecture, AI/ML integration, cloud deployments, CI/CD, containerization, and security while mentoring teams and ensuring best practices.

Build and maintain backend systems across multiple languages and stacks, contribute to Generative AI projects (RAG/LLMs), collaborate with cross-functional teams, write clean maintainable code, participate in code reviews, and troubleshoot complex multi-stack issues.

Design, develop, and maintain scalable ASP.NET web applications and REST APIs. Modernize legacy systems to microservices, containerize with Docker, deploy and operate on Azure services, ensure CI/CD and observability, and mentor junior developers within Agile teams.

Lead architecture and delivery of AI-first, agentic systems: design LLM integrations, RAG pipelines, multi-agent workflows, Python-based scalable backends, distributed event-driven microservices, and cloud-native solutions; ensure performance, security, cost optimization, and provide technical leadership across engineering and product teams.

Lead design and implementation of multi-language, distributed systems and real-time data pipelines using Flink and streaming platforms. Build and scale microservices, integrate NoSQL databases, apply AI/ML frameworks, enforce security and CI/CD/DevOps practices, mentor teams, and deploy solutions on cloud platforms (AWS/Azure/GCP).

Lead design, deployment, and operation of end-to-end Azure and Microsoft Fabric data solutions. Migrate on-premise estates to cloud, build lakehouses/warehouses and semantic models, develop enterprise Power BI dashboards, automate processes with Power Platform, manage relational database performance and security, and communicate platform capabilities to stakeholders.

Lead design and implementation of cloud-native, distributed, high-availability payment and transaction systems. Build microservices, containerized deployments, data platforms, pipelines, and orchestration across Azure and GCP. Conduct architecture and code reviews, mentor engineers, and guide technical direction across projects.

Build and maintain scalable backend services in Python and Java (Spring Boot), develop responsive React frontends, integrate AI/GenAI (LLMs, RAG) using frameworks like LangChain/LlamaIndex, collaborate with cross-functional teams, troubleshoot and optimize systems, and ensure coding, security, and performance best practices.

Technical authority responsible for shaping system architecture, architecting and scaling distributed cloud-native platforms, leading technical decisions and reviews, mentoring engineers, and applying AI/GenAI to business problems.

Lead and mentor a data engineering team to design, build, and optimize scalable batch and real-time data pipelines using Databricks, Spark, Delta Lake and cloud services (Azure/AWS). Implement Medallion architecture, ETL/ELT workflows (ADF/Databricks Workflows), CI/CD and IaC, ensure data governance, performance, and stakeholder collaboration.

Lead design and optimization of a Laravel microservice architecture. Define service boundaries and API contracts, improve performance and reliability, set engineering standards, conduct code reviews, mentor engineers, and own features end-to-end across services.

Design and architect cloud-native, fault-tolerant microservices and data pipelines for high-volume payment systems. Lead development across Java/Spring, databases, streaming, cloud platforms, and integrate Generative AI and Databricks solutions. Provide technical leadership, performance optimization, and collaborate with distributed teams to ensure reliability and scalability.

Senior Business Analyst / Solution Consultant responsible for leading discovery, translating business needs into functional and technical specifications, leveraging GenAI for UI ideation and spec drafting, validating solutions with engineering, supporting pre-sales, and driving end-to-end solution delivery.

Design, build, and operate large-scale batch and streaming ingestion pipelines, medallion/lakehouse layering, identity resolution and golden-record consolidation, data-quality gates and reconciliation, source-to-canonical mappings and crosswalks, schema enforcement, and observability for client onboarding and production data flows.

Design, build, and maintain scalable batch and real-time ingestion pipelines using Medallion/Lakehouse patterns. Implement CDC, checkpointing, watermarking, data quality, reconciliation, identity resolution/MDM, schema validation/versioning, and source-to-canonical mappings. Collaborate cross-functionally to onboard sources and monitor pipeline health.

Lead design and implementation of multi-language, distributed software systems. Build real-time data pipelines (Flink) integrated with Kafka/Kinesis, manage NoSQL/SQL storage (MongoDB), apply AI/ML tools, ensure scalable microservices, CI/CD, containerization, cloud deployments (AWS/Azure/GCP), and mentor teams on architecture, security, and best practices.

Lead a team of developers to design, architect, and deliver scalable, secure microservices-based enterprise applications. Hands-on coding, code reviews, performance tuning, CI/CD, cloud deployments, stakeholder collaboration, and mentoring. Drive architecture, HLD/LLD, root-cause analysis, and timely delivery in Agile environments.