Jobs at Coderio

Lead planning and delivery of a banking/payments modernization program: manage scope, timelines, risks, stakeholders; run Agile ceremonies; gather and document business and technical requirements; translate needs into user stories and acceptance criteria; define APIs, payment workflows, and ensure alignment with engineering.

The job involves leading engineering teams in developing scalable software solutions, overseeing architecture, enforcing standards, and ensuring operational excellence while managing client relationships at senior levels.

The Senior Engineering Manager leads the technical execution of digital products, overseeing engineering governance, operational excellence, and strategic client partnerships while managing teams and ensuring high-quality delivery.

Serve as the bridge between payment business stakeholders and technical teams for a banking payments modernization program. Gather and document requirements, create epics and user stories, map payment workflows, identify automation opportunities, and support Agile delivery in Jira. Collaborate on APIs, integrations, testing, defect resolution, and production readiness. Ensure solutions address regulatory controls, auditability, segregation of duties, BSA/AML, OFAC, fraud prevention, and security requirements across Wire, RTP, FedNow, ACH, and digital payment channels.

Build and operate scalable DataOps solutions across data engineering, cloud infrastructure, and DevOps. Develop Python, Bash, Terraform, and pipeline automation; orchestrate systems through APIs; deploy and maintain AWS infrastructure; support data modeling and documentation; establish DataOps best practices; and collaborate directly with customers to gather requirements and propose technical solutions.

Build and deploy generative AI tools, copilots, and automation for the software development lifecycle. Responsibilities include developing AI-assisted coding, testing, documentation, and infrastructure tools; researching and benchmarking LLM and RAG solutions; integrating intelligent automation into internal developer platforms; improving CI/CD, incident resolution, and platform reliability; and collaborating with Platform, SRE, DevOps, and engineering leadership.

Leads end-to-end data science initiatives, including statistical modeling, machine learning, feature engineering, deployment, monitoring, and optimization. Designs scalable AWS-based solutions, guides technical decisions, mentors data professionals, collaborates with business and engineering stakeholders, and develops data strategies and best practices. Requires strong Python, SQL, machine learning, cloud, communication, and technical leadership skills.

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.

Own the architecture, development, automation, and production deployment of end-to-end machine learning solutions. Manage the ML lifecycle, evaluate cloud architectures for performance and cost efficiency, integrate with data engineering and software teams, troubleshoot complex systems, align solutions with business needs, and mentor teams on MLOps adoption.

Lead backend development and scale AI/LLM production systems: refactor core backend and AI framework layers, implement LLM observability, token-cost optimization, retrieval tuning, prompt versioning, A/B testing, drift monitoring, copilot/agent workflows, and integrations with vector databases and LLM providers while driving features to production.

Lead modernization of legacy enterprise data systems: refactor backend database logic into Python, build and optimize APIs and backend with Node.js/Python, deliver ReactJS + Material-UI dashboards, tune complex T-SQL/SQL Server queries and stored procedures, manage deployments with Kubernetes and CI/CD, and collaborate with global teams on testing and documentation.

Lead a greenfield implementation of Microsoft Intune, Entra ID, and Defender for Endpoint across Windows, macOS, Android, and AWS servers. Design MDM/endpoint security, configure Autopilot and ADE, enable MDE/MDVM and Azure Arc for AWS, integrate DevOps repositories for security scanning, map controls to ISO 27001:2022, and provide documentation and hands-on knowledge transfer to engineering and security teams.

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 consolidation and ownership of CI/CD infrastructure using GitHub Actions. Administer GitHub platform, design standardized .NET pipelines, implement IaC (Terraform/CloudFormation), manage cloud integrations (Azure/AWS), and operate Docker/Kubernetes. Mentor junior engineers and drive automation, governance, and platform modernization 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.

Lead planning and delivery for banking/payments modernization: manage scope, timelines, risks, and stakeholders; run Agile ceremonies; gather and document business and technical requirements; translate needs into user stories and acceptance criteria; define APIs and payment workflows with engineering to ensure aligned, high-quality deliveries.

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.

Support SAP S/4HANA rollout for accounting: perform reconciliations and account analysis, map accounting processes, support data migration and UAT, train and support teams during go-live, execute SOX controls, and manage payables and bank reconciliations.

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.

Lead on-site delivery for a banking and payments modernization program: plan and execute projects, manage scope/timelines/risks, run Agile ceremonies, gather and document technical and business requirements, translate needs into user stories and acceptance criteria, and align engineering solutions with payment workflows and APIs.