qode.world

Backend Engineer

• Design, build, and maintain C#/.NET Core microservices and RESTful APIs.
• Develop cloud-native workloads on AWS (ECS/EKS/Lambda, API Gateway, SQS/SNS, DynamoDB/RDS, S3, CloudWatch).
• Implement data models for portfolio, positions, transactions, orders, entitlements, performance, fees, and reporting.
• Integrate with custodians, market data providers, CRMs, and downstream analytics (ETL/ELT).
• Ensure security/compliance (OAuth2/OIDC, encryption, audit trails, PII handling).
• CI/CD with GitHub Actions/Azure DevOps/Jenkins, containerization with Docker, and IaC (Terraform/CloudFormation).

Lead .NET Developer

Risk

• Build and launch a new fraud prevention and risk mitigation division, including strategy, market positioning, and resource planning
• Develop and deliver fraud prevention products, advisory services, and solutions for financial institutions
• Partner cross‑functionally with product, technology, and client teams to design and implement solutions
• Serve as a trusted advisor to executive‑level clients, balancing fraud risk, member experience, and regulatory requirements
• Establish and manage strategic partnerships and third‑party solution providers
• Recruit, mentor, and lead a high‑performing team, fostering innovation and accountability
• Drive adoption of fraud prevention technologies, including data analytics and digital authentication tools
• Ensure compliance with regulatory standards and industry best practices for credit unions and community banks
• Represent the organization as a thought leader at industry events and client forums

Vice President, Risk Mitigation Solutions

Production Engineer

• Design, deploy, and manage hybrid and cloud infrastructures (OCI, AWS, Azure, on-prem) to support production and enterprise systems
• Implement infrastructure-as-code (IaC) using Terraform or CloudFormation to ensure repeatable, secure, and automated deployments
• Develop and maintain CI/CD-ready environments that support rapid build, test, and release cycles for engineering teams
• Partner with network and security teams to implement resilient, compliant architectures
• Serve as technical lead for production systems, ensuring stability, performance, and scalability
• Establish monitoring, logging, and alerting frameworks to improve visibility and reduce mean time to detection (MTTD) and resolution (MTTR)
• Participate in incident response, root cause analysis, and reliability improvement efforts
• Collaborate with Engineering and SRE teams to define SLIs, SLOs, and performance metrics for critical services
• Develop and enhance deployment pipelines (e.g., Jenkins, GitLab, ArgoCD) to automate software delivery and environment provisioning
• Embed security, compliance, and testing gates into CI/CD workflows
• Implement configuration management and orchestration tools such as Ansible, Chef, or Puppet to manage infrastructure at scale
• Drive efficiency through self-healing systems, auto-scaling, and infrastructure automation
• Lead day-to-day production operations activities, mentoring junior engineers on cloud and reliability best practices
• Act as a technical bridge between Infrastructure, Security, and Application Engineering teams
• Contribute to capacity planning, cost optimization, and production readiness reviews
• Maintain documentation, runbooks, and standard operating procedures for production systems

Lead Cloud Engineering, Production Operations Engineer

Salesforce Developer

• Develop and finalize REST API integrations between ServiceNow and Salesforce using Apex callouts
• Review and maintain API Swagger/OpenAPI documentation
• Troubleshoot API errors, failures, and outages through and post launch
• Write and maintain Apex triggers, classes, and handlers for Flash use cases
• Configure and update validation rules, field dependencies, and workflow logic
• Implement default value overrides and process automation as required
• Build and configure onboarding Salesforce cases for Flash clients
• Align case structures with existing Prepaid Salesforce patterns and standards
• Update Salesforce UI components (LWC or page layouts) based on design artifacts
• Support API-driven data population and rendering
• Configure selectable field values and hardcode fields where specified

Solutions Engineer

• Lead solution design for ERP transformations
• Conduct client discovery workshops and executive-level presentations
• Assess business requirements for appropriate ERP platform recommendations
• Utilize Microsoft Power Platform for application extensions, workflow automation, and reporting
• Communicate complex technical concepts to diverse audiences

Presales Solution Architect

Security Engineer

• Lead and oversee the management, configuration, and tuning of security detection and response platforms, including:
• SIEM (e.g., Splunk, PANW, or Azure Sentinel)
• EDR/XDR (e.g., CrowdStrike, SentinelOne, Microsoft Defender)
• SOAR automation platforms
• Network IDS/IPS, NDR, and threat intelligence platforms (TIPs)
• Ensure all detection tools are integrated for end-to-end visibility across endpoints, cloud environments, and production systems
• Define standards for log collection, parsing, and correlation to enhance alert accuracy and reduce false positives
• Drive continuous tuning of detection rules, signatures, and use cases to align with MITRE ATT&CK and emerging threats
• Collaborate with IT and Engineering teams to ensure security telemetry is fully integrated into cloud and CI/CD environments
• Oversee threat hunting, alert triage, and incident response playbook execution across the security stack
• Partner with DevOps and infrastructure teams to embed security monitoring hooks into hybrid environments and new deployments
• Design and conduct controlled adversary emulation exercises to test detection and response capabilities
• Execute attack chains including phishing, privilege escalation, persistence, and lateral movement using real-world TTPs
• Develop and maintain custom adversary scripts and payloads to simulate targeted threats
• Provide detailed post-exercise reports with actionable defensive improvement recommendations
• Collaborate with Blue Team engineers to operationalize detections based on Red Team findings
• Lead or co-lead major incident response efforts, coordinating containment, investigation, and recovery
• Build and maintain detailed incident response runbooks, integrating lessons learned from purple team exercises
• Conduct root cause analysis and lead retrospectives that drive measurable improvements in detection and resilience
• Integrate threat intelligence and forensic insights into detection content and defensive playbooks.
• Plan and execute adversarial simulations that validate threat detection, alert fidelity, and incident response readiness
• Develop the roadmap for continuous improvement of detection coverage, response automation, and control validation
• Serve as a technical escalation point for complex investigations, guiding both Red and Blue Team staff
• Translate technical results into executive-level insights that demonstrate risk reduction and readiness improvement

Cybersecurity Lead

Architect

• Lead the architecture, design, implementation, and support of enterprise CIAM solutions using Ping Identity products.
• Own end-to-end solution design for customer authentication, federation, authorization, and directory integration use cases.
• Design scalable and secure authentication platforms capable of supporting large user populations and high transaction volumes.
• Implement and optimize SSO, MFA, OAuth, OIDC, and federation flows for enterprise and customer-facing applications.
• Drive integration with downstream applications, identity providers, APIs, directories, and security infrastructure.
• Lead production issue resolution for complex authentication, federation, token, certificate, and directory-related problems.
• Collaborate with infrastructure, network, security, application, and DevOps teams to ensure resilient and secure identity services.
• Define engineering standards, deployment patterns, operational runbooks, and best practices for CIAM platform support.
• Provide technical leadership to engineering teams, review solution designs, and mentor junior team members.
• Support modernization initiatives including cloud adoption, automation, and observability for identity platforms.

Senior CIAM Architect

Scrum Master

• Facilitate Agile ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog grooming.
• Coach teams on Scrum principles, Agile best practices, and continuous improvement.
• Work closely with Product Owners, Data Analysts, and Engineering teams to align delivery with business priorities.
• Remove blockers and resolve dependencies to ensure smooth sprint execution.
• Track sprint progress, team velocity, and key performance indicators.
• Support the delivery of data analytics initiatives, including dashboards, reporting frameworks, and business intelligence solutions.
• Ensure effective collaboration between business stakeholders and technical teams.
• Drive transparency in project status, risks, and delivery timelines.
• Foster a high-performing and accountable Agile team culture.

Technical Program Manager

• The Technical Program Manager (TPM) will lead complex, multi‑team technology initiatives across trading, investment, advisor‑facing, and data‑driven platforms.
• Oversee roadmap execution, cross‑functional alignment, vendor and platform integration, and regulatory‑aligned delivery.
• Ensure that platform enhancements, data flows, and application interfaces are designed, integrated, and delivered with reliability, scalability, and compliance in mind.
• Establish program structure, milestones, RAID logs, and reporting for multi‑workstream initiatives.
• Coordinate engineering, product, QA, architecture, operations, and compliance teams.
• Ensure solution design, system integration, and implementation align with business, technical, and regulatory requirements.
• Drive end‑to‑end delivery of platform enhancements, trading workflows, API‑driven integrations, data pipelines, and advisor‑facing capabilities.
• Oversee integration of internal and external applications using REST APIs, microservices, event‑driven patterns, and secure data‑exchange frameworks.
• Provide clear, data‑driven executive reporting to senior leadership.
• Translate complex technical concepts—including API architecture, integration dependencies, and system interoperability—into business‑aligned communication.
• Lead programs involving trading platforms, portfolio management systems, wealth & advisory platforms, market data integrations, and regulatory & compliance‑driven initiatives.

• Architect end-to-end AI Agent solutions leveraging LLM and Agentic frameworks (LangChain, AutoGen, CrewAI) integrated with enterprise systems.
• Design API-first and event-driven integration architectures ensuring reliability, scalability, and low-latency across services.
• Define governance frameworks for AI agents including access control, audit trails, policy enforcement, and responsible AI guardrails.
• Establish observability standards using LaunchDarkly, feature flagging strategies, and DevOps pipelines for AI-driven systems.
• Collaborate with stakeholders across Engineering, Data, Product, and Risk to align architecture decisions with business outcomes.
• Create and maintain Technical Solution Architecture documentation, including architecture decision records (ADRs), data flows, and system diagrams.
• Evaluate and recommend emerging AI tools, LLM providers, and orchestration platforms for enterprise adoption.
• Provide technical leadership and mentoring to engineering squads implementing agentic solutions.

Solution Architect

Artificial Intelligence

• Design, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar).
• Integrate LaunchDarkly for feature flagging, progressive rollouts, and experimentation across AI-enabled features.
• Implement comprehensive telemetry, logging, distributed tracing, and monitoring for AI agent systems.
• Build and maintain A/B testing and experimentation frameworks to evaluate agent performance and model outputs.
• Develop REST and event-driven integrations to connect AI agents with enterprise data sources and downstream systems.
• Author technical documentation including agent design specs, integration guides, and architecture deliverables.
• Participate in sprint ceremonies, contribute to backlog grooming, and deliver iteratively within an Agile framework.
• Support incident response, root-cause analysis, and continuous improvement for production AI systems.

AI Engineer

Data Analyst

• Join the growing team at Austin, TX as a Data Analyst – Wealth Management
• Write sophisticated SQL queries and analyze large datasets
• Define business logic and validate data across wealth management systems
• Partner with investment teams, operations, and technology stakeholders

Data Analyst – Wealth Management

Data Engineer

• 8–10 years in Data Engineering and Data Analysis.
• Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.
• Advanced skills in PySpark for large-scale data processing, transformation, and analytics.
• Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).
• Proficiency in Python and Kafka for streaming and batch data pipelines.
• Strong understanding of database concepts, data design, data modeling, and ETL workflows.
• Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
• Hands-on experience with Agile methodology and Jira for project delivery.
• Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.
• Exposure to AWS data components and analytics.
• Familiarity with machine learning models and AI concepts.
• Experience with data modeling tools such as Erwin.

Senior Data Engineer

• Design, develop, and maintain Java-based web applications using Spring Boot and related frameworks
• Build and consume RESTful APIs and, where applicable, GraphQL endpoints
• Deploy, monitor, and maintain applications using AWS services such as EC2, S3, Lambda, RDS, and SQS
• Collaborate with front-end teams working on Angular-based UIs and JSP pages
• Develop and optimize data access layers using Hibernate/JPA with relational databases (Oracle, MySQL, SQL Server)
• Write clean, maintainable, and testable code with proper unit testing using JUnit and Mockito
• Participate in code reviews, architectural discussions, and technical design decisions
• Work within CI/CD pipelines using tools like Jenkins, Maven, and Git
• Actively contribute to Agile ceremonies including daily stand-ups, sprint planning, and retrospectives

Senior Java Developer

• Build and optimize large-scale data pipelines
• Work with wealth management data including positions, transactions, and accounts
• Utilize Databricks for data engineering tasks
• Collaborate with teams on AI tool implementation in daily work