Jobs at Coderio

Build and maintain a full-stack financial services application replacing legacy workflows. Responsibilities include developing C#/.NET backend services, APIs, integrations, approval workflows, and a React portal; writing unit and regression tests; participating in Agile ceremonies and code reviews; documenting technical decisions; and collaborating with stakeholders and system-owning teams.

Build, deploy, and productionize Model Context Protocol solutions connecting enterprise data sources such as Snowflake and SharePoint. Integrate databases, APIs, and files for AI Copilot workflows; refactor proof-of-concept code into secure production infrastructure; engineer prompts; debug and evaluate agent performance; and collaborate with data engineering and platform teams. The role requires strong Python skills, MCP and AI development experience, AWS knowledge, data integration expertise, autonomy, and advanced English.

Designs, builds, and maintains scalable batch and streaming data pipelines across AWS and GCP. Develops ETL/ELT workflows using Python, PySpark, and advanced SQL; optimizes performance, storage, and query execution; implements data quality and governance controls; and supports data lakes, warehouses, and ML workflows. Collaborates with data scientists and ML engineers on MLOps automation and production deployments while maintaining CI/CD, Docker, infrastructure standards, and technical documentation.

Design, build, and optimize high-throughput batch and streaming data pipelines, cloud data warehouses, and lakehouse architectures for financial and transactional data. Implement data quality, testing, monitoring, DataOps, CI/CD, infrastructure as code, governance, privacy, and security practices. Collaborate with technical and product teams, ensure reliable and compliant production systems, and mentor junior and mid-level data engineers.

Designs, builds, and operates enterprise conversational agents, custom copilots, and agentic workflows. Integrates AI solutions with Snowflake, SharePoint, and Azure; manages CI/CD deployments and resilient cloud infrastructure; and develops Splunk-based observability, logging, and governance. Provides technical leadership to global teams and uses AI-assisted development tools to improve engineering productivity.

Lead consolidation and ownership of CI/CD infrastructure using GitHub Actions and GitHub platform administration. Build standardized .NET pipelines, implement IaC (Terraform/CloudFormation), manage cloud deployments (Azure preferred), operate Docker/Kubernetes environments, and mentor junior engineers while enforcing governance and automation across banking applications.

Lead architecture and delivery of an AWS-based, event-driven Java/Spring Boot microservices platform. Drive design of messaging/streaming solutions, distributed transactions/saga patterns, API governance, observability, performance and cost optimization. Mentor engineers, set standards, guide technical decisions, and partner with product stakeholders to deliver scalable, resilient solutions.

Design, build, and maintain scalable Java/Spring Boot backend services and cloud-native microservices on AWS. Integrate AI tools to improve development, enforce code quality through testing and deep code reviews, identify technical debt, and deliver reliable production systems in an Agile environment.

Design, build, test, and deploy Spring Boot microservices on AWS. Implement event-driven publish/subscribe flows and distributed transaction patterns. Design and consume REST/webhook APIs. Maintain CI/CD and infrastructure-as-code, ensure observability (tracing, logging, metrics), integrate LLMs and agentic workflows with safety/PII controls, and own production reliability and performance.