qode.world

Consultant

• Partner with Corporate & Institutional Banking (C&IB) businesses across Treasury & Cash Management, Payments, Trade Finance, Securities Services, FX, and Corporate Lending.
• Serve as the bridge between complex business requirements and scalable technical solutions.
• Guide financial institutions through large-scale transformation and modernization programs.
• Analyze business processes and provide domain expertise across clients’ C&IB ecosystems.

Senior Functional Consultant

Manager

• Design, develop, and optimize data warehouses, ensuring high performance and cost efficiency.
• Lead cross-functional programs focused on cloud modernization, legacy migration, and data transformation initiatives on GCP.
• Drive execution across multiple technical teams including data engineering, application development, cloud ops, and architecture.
• Translate business goals into structured technical programs with clear milestones, success metrics, and risk mitigation strategies.
• Serve as the technical voice in executive updates, steering committees, and cross-org syncs.
• Work closely with engineering teams to design scalable and secure cloud-native solutions.
• Implement program governance, best practices, and agile delivery methods across initiatives.
• Collaborate with client stakeholders to ensure successful deployment and adoption of modernization solutions.

Technical Manager

Product Manager

• Lead end-to-end strategy and roadmap for IAM platforms (Okta, Ping, ForgeRock, Entra ID, Auth0).
• Drive modernization initiatives including passwordless authentication, MFA, and adaptive/risk-based access.
• Collaborate with Security, Risk, Compliance, and Architecture teams to ensure alignment with Zero Trust, PCI, SOC2, and NIST frameworks.
• Engage with stakeholders to define vision, prioritize features, and deliver measurable business outcomes.
• Lead hands-on IAM implementations including MFA, SSO, and federation integrations (SAML, OIDC, OAuth2).
• Translate security and compliance requirements into Agile stories and deliverables.
• Onboard applications, define MFA policies, and execute federation integrations.
• Work closely with engineering and security architecture teams to deliver high-quality IAM solutions.

IAM Product Manager – Product Owner

LLM Engineer

• Design and deploy stateful agents using LangGraph and LangChain
• Build robust backends using Python (Asyncio), FastAPI, and Pydantic
• Implement advanced RAG pipelines using Elasticsearch
• Deploy containerized AI services on Google Cloud Platform
• Adapt and contribute to internal SDKs for observability and model routing
• Build intuitive UIs in React.js

Generative AI Engineer

Data Engineer

• Lead the design, development, and deployment of large-scale data pipelines and solutions on AWS.
• Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimization.
• Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambda.
• Drive development of ETL/ELT processes using PySpark, Python, and SQL.
• Implement and enforce data governance, quality checks, and security standards across the platform.
• Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solutions.
• Optimize cost and performance of AWS-based data workloads.
• Troubleshoot production issues and ensure high availability of data pipelines.
• Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lead.

Lead Cloud Data Engineer

• Strong expertise in Hadoop ecosystem – HDFS, Hive, Spark(PySpark/Scala), MapReduce
• Hands-on experience with Sqoop for data ingestion
• Strong programming skills in Python / Scala / Java
• Advanced knowledge of SQL and query optimization
• Experience in data lake architecture and maintenance
• Strong understanding of distributed computing and parallel processing
• Experience in ETL/ELT pipeline design and optimization
• Exposure to cloud migration strategies and readiness planning
• Experience with data governance tools and frameworks
• Knowledge of CI/CD pipelines and DevOps practices
• Nice-to-have skills: Experience with cloud platforms (GCP preferred – Dataproc, BigQuery, Cloud Storage)
• Familiarity with workflow orchestration tools (Airflow / Cloud Composer)

Big Data Engineer

Platform Engineer

• Design and develop solutions using SharePoint Online and On-Premises
• Build and customize SharePoint sites, lists, libraries, workflows, and permissions
• Develop and maintain Power Apps (Canvas & Model-driven apps) for business applications
• Automate business processes using Power Automate (Flows)
• Maintain and migrate legacy InfoPath forms to Power Platform solutions
• Integrate SharePoint with Power Platform, Microsoft 365, and third-party systems
• Develop custom forms, dashboards, and workflows to enhance business productivity
• Work closely with stakeholders to gather requirements and translate them into technical solutions
• Ensure solutions follow governance, security, and compliance standards
• Troubleshoot, optimize, and support existing SharePoint and Power Platform applications.

SharePoint Developer, Power Platform

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).
• Partner with Product/Compliance to meet regulatory and SLA requirements.

Senior .NET Developer

Engineer

• Design, develop, and optimize prompts and prompt chains for LLM-based applications
• Work within Agentic POD architectures to enable seamless interaction between AI agents
• Optimize performance of LLMs such as Gemini, Claude, GitHub Copilot, and other foundation models
• Develop and implement prompt patterns (few-shot, chain-of-thought, ReAct, tool-augmented prompting)
• Build and enhance RAG (Retrieval-Augmented Generation) pipelines for accurate and context-aware responses
• Create reusable prompt templates and frameworks for enterprise-scale applications
• Improve engineering throughput by leveraging AI-assisted development workflows
• Evaluate and fine-tune prompts using LLM evaluation frameworks and metrics (accuracy, latency, cost)
• Collaborate with AI engineers, data scientists, and product teams to deliver optimized solutions
• Ensure responsible AI practices, bias mitigation, and prompt safety controls
• Continuously experiment with new prompting techniques and LLM capabilities

Prompt Engineer

• Develop, and maintain scalable data pipelines using GCP services
• Build and optimize ETL/ELT workflows using Dataflow and BigQuery
• Orchestrate workflows using Cloud Composer (Apache Airflow)
• Perform data migration from legacy systems (e.g., Teradata, on-prem databases) to GCP
• Develop reusable and efficient Python-based data processing frameworks
• Write optimized and complex SQL queries for data transformation and analytics
• Leverage AI-native engineering tools (e.g., code assistants, automated testing, query optimization tools) to improve engineering throughput
• Ensure data quality, validation, and governance compliance
• Monitor and troubleshoot data pipelines and production issues
• Optimize pipelines for performance, scalability, and cost efficiency

GCP Data Engineer

Frontend Engineer

• Develop and maintain responsive web applications using React.js
• Translate UI/UX designs into high-quality, reusable code
• Collaborate with backend developers, product managers, and designers
• Optimize applications for performance, scalability, and security
• Implement state management solutions (e.g., Redux, Context API)
• Ensure code quality through testing, code reviews, and best practices
• Integrate RESTful APIs and financial data services
• Handle cross-browser compatibility and accessibility standards

React Developer

SDET

• As a Technical Lead - SDET at Incedo, you will be responsible for developing and maintaining automation frameworks, tools, and scripts to ensure software quality.
• You will also participate in code reviews, develop test plans, and work with cross-functional teams to ensure the successful delivery of high-quality software products.

Senior SDET

Technical Product Manager

• Define product vision, strategy, and roadmap for Wealth Management digital offerings (Mutual Funds, Portfolio Services, Advisory, Insurance, etc.).
• Lead end‑to‑end product lifecycle—from discovery and requirements gathering to launch, adoption, and optimization.
• Identify emerging trends in wealth products, investment platforms, and fraud management technologies.
• Develop and enhance wealth management capabilities including onboarding, KYC, investment journeys, advisory tools, and customer reporting.
• Collaborate with internal stakeholders to design seamless investment flows aligned with regulatory norms (SEBI, RBI, IRDAI, AML guidelines).
• Drive integration with custodians, exchanges, fund houses, and portfolio managers.
• Build, refine, and maintain fraud prevention and detection frameworks across wealth management journeys.
• Partner with Fraud Risk, Compliance, and Operations teams to implement risk-based authentication, transaction monitoring, and anomaly detection features.
• Oversee product requirements for cheque-related modules (cheque clearing, CTS/ICS, returns, stop payment flows, risk scoring, signature verification).
• Ensure process-level controls to minimize operational, transaction, and compliance risks.
• Work closely with Engineering, Design, Operations, Risk, Compliance, and Data teams to deliver product features on schedule.
• Translate business needs into clear BRDs/PRDs, user stories, wireframes, and functional specifications.
• Coordinate with vendors, fintech partners, and external platforms for integrations and co-development.

Technical Product Owner

Architect

• Architect and implement end-to-end data solutions using Databricks Lakehouse Platform
• Design and develop scalable data pipelines using PySpark, Spark, and SQL
• Lead cloud data platform implementations on AWS/Azure/GCP
• Drive modernization of legacy data systems to cloud-native architectures
• Implement Medallion Architecture (Bronze, Silver, Gold layers)
• Ensure data governance, security, and compliance (especially for Financial Services)
• Collaborate with business stakeholders, data scientists, and engineering teams
• Optimize performance, cost, and reliability of data pipelines
• Mentor and guide data engineering teams and provide architectural leadership.

Senior Databricks Architect

• Architect and implement Camunda-based workflow orchestration platforms handling high-volume process instances.
• Design and develop microservices-based architectures using Spring Boot and event-driven frameworks such as Kafka.
• Create and manage BPMN and DMN models for business processes including loan approvals, claims processing, and customer onboarding.
• Integrate Camunda with external APIs, legacy platforms, and cloud-native services via REST and messaging systems.
• Provide technical leadership and mentor developers on Camunda best practices, performance tuning, and process versioning.
• Implement monitoring and analytics using Camunda Optimize to track SLAs and KPIs.
• Collaborate with business stakeholders to translate requirements into scalable technical solutions.
• Develop and maintain clear, comprehensive documentation for workflows and integrations.
• Ensure platform scalability, reliability, security, and performance.
• Conduct code reviews and promote engineering best practices across the team.
• Stay current with emerging Camunda features and workflow automation trends.
• Troubleshoot and resolve workflow, integration, and performance issues.