Brillio

Frontend Engineer

• Own the mobile architecture blueprint—from client app layers to backend integration (APIs, microservices, event-driven patterns).
• Define standards and reference architectures for React Native/Flutter/Xamarin (or hybrid web-views, Capacitor) and native interoperability.
• Establish mobile domain models, API contracts, security controls, and data governance for mobile.
• Create roadmaps aligned with business OKRs, balancing innovation with platform stability.
• Lead architecture for new mobile initiatives: authentication flows, offline-first patterns, background sync, push notifications, deep linking, app configuration, and feature flagging.
• Design scalable backend integrations (API gateways, GraphQL/REST, caching, pub/sub), and select runtime patterns (BFF, façade services).
• Architect telemetry pipelines for observability (crash analytics, performance metrics, RUM, log aggregation).
• Implement Zero Trust principles for mobile; enforce secure storage, device attestation, jailbreak/root detection.
• Align with OWASP MASVS/MSTG, NIST, ISO 27001; ensure compliance (GDPR, CCPA, HIPAA/PCI as applicable).
• Oversee MDM/UEM and MAM policies (e.g., Microsoft Intune, VMware Workspace ONE, MobileIron).
• Define threat models, conduct architecture risk assessments, and drive secure SDLC practices (SAST/DAST, dependency scanning).
• Define CI/CD pipelines for mobile (Fastlane, Bitrise, Azure DevOps, GitHub Actions, CircleCI), code signing, release orchestration.
• Standardize testing strategy: unit/UI/e2e, device farms, accessibility, performance, and compatibility testing.
• Govern app distribution (App Store/Play, Enterprise distribution), versioning, rollback strategies, and release trains.
• Architect for offline resilience, concurrency, graceful degradation, and efficient network usage.
• Establish SLAs/SLOs/SLIs for mobile experiences; implement synthetic monitoring, crash thresholds, and performance budgets.
• Optimize startup time, memory footprint, battery usage, and bundle size.
• Model data flows; select client-side storage (Secure Enclave/Keychain, Keystore, SQLite/Room/Realm, encrypted stores).
• Define API schemas and backward compatibility strategies; manage schema evolution and versioning.
• Champion API governance and service cataloging; integrate with identity (Azure AD/Entra ID, Auth0, Okta).
• Maintain architecture repository and guardrails, including coding standards, dependency policies, and modularization.
• Run Architecture Review Boards, perform ADRs (Architecture Decision Records), and maintain tech radar.
• Mentor architects and senior engineers; conduct design reviews and coaching.
• Partner with Product, UX, Security, Infra/Cloud, and Business stakeholders; translate business goals into technical plans.
• Evaluate frameworks, SDKs, third party services; negotiate and manage technical risk.

Senior Mobile Lead Developer – React Native

Client Partner

• Establishing and managing client relationship at all levels
• Establishing and building "trust" and leverage client context by understanding client's overall business goals and culture
• Positioning Brillio as a Strategic IT partner and identify new avenues for Brillio to partner, implement and deliver within the account.
• Managing the account P&L & high-level delivery responsibility
• Mapping Brillio’ s capabilities and solutions to client’s requirements.
• Build newer relationships with one of the marquee Fortune 1000 customers.

Director, Client Partner – BFSI

Data Scientist

• Design, develop, and maintain scalable and efficient data pipelines to collect, clean, and transform large volumes of data.
• Collaborate with software engineers and other stakeholders to understand data requirements and implement effective solutions.
• Ensure data pipelines are robust, reliable, and optimized for performance.
• Design and implement data models that support the storage, retrieval, and analysis of structured and unstructured data.
• Integrate and consolidate data from various sources, both internal and external, to create a unified and comprehensive data ecosystem.
• Ensure data integrity and accuracy through data quality assessments, cleansing, and validation techniques.
• Optimize and enhance machine learning algorithms for performance, scalability, and accuracy.
• Implement data preprocessing, feature engineering, and model training workflows using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Configure and maintain cloud-based infrastructure for data storage, processing, and analysis.
• Monitor and troubleshoot data-related issues, ensuring high availability and reliability of data systems.
• Stay up-to-date with emerging technologies, tools, and best practices in data engineering, AI, and ML.

Software Engineer

Software Development Lead

Engineering Manager

• Design, develop, and maintain end-to-end full stack solutions using Java (Spring Boot) and React.
• Build and enhance payment processing systems, including transaction workflows and integrations with external providers.
• Develop secure and scalable RESTful APIs and backend services.
• Implement responsive and high-quality user interfaces with React.
• Ensure high availability, performance, and scalability of payment systems.
• Apply secure coding practices aligned with financial and regulatory standards.
• Collaborate with product owners, architects, QA, and DevOps teams to deliver robust solutions.
• Participate in system design, architecture decisions, and code reviews.
• Troubleshoot and resolve complex production issues.
• Contribute to CI/CD pipelines, automated testing, and deployment processes.

Software Development Manager

• Design and refine advanced prompts for GitHub Copilot and LLM-based workflows
• Build AI agents and automation workflows to accelerate development tasks
• Optimise context window management, plan mode vs agent mode usage, and prompt structuring
• Collaborate directly with Microsoft AI engineers to enhance tooling capabilities
• Rapidly prototype and iterate AI-driven SDLC accelerators
• Embed within multiple Scrum teams to review AI-generated code and specifications
• Challenge and improve prompt usage and drive best practice adoption
• Coach engineers in effective AI-assisted development
• Identify gaps in AI outputs and improve workflows accordingly
• Influence cultural change in AI adoption across global teams

Data Science Lead

Business Analyst

• Elicit, analyze, and document business and functional requirements for telecom systems and projects.
• Act as a bridge between business stakeholders and technical teams, ensuring clear communication and alignment.
• Analyze and improve end-to-end telco processes.
• Translate business needs into user stories, process flows, and functional specifications.
• Participate in solution design discussions and validate proposed technical solutions.
• Facilitate workshops, stakeholder interviews, and requirement sessions.
• Ensure traceability of requirements and manage changes throughout the project lifecycle.
• Collaborate with QA teams to define test scenarios and acceptance criteria.
• Support UAT (User Acceptance Testing) and ensure solutions meet business expectations.
• Identify risks, dependencies, and opportunities for process optimization.
• Contribute to digital transformation and system migration initiatives within telco environments.

Lead Business Analyst

• Design, develop, and maintain full stack applications using Java (Spring Boot) and Angular.
• Build and integrate RESTful APIs and backend services.
• Work with Neo4j graph databases to design and implement data models and queries.
• Collaborate with business stakeholders, architects, and QA teams to deliver end-to-end solutions.
• Customize and implement solutions within Telecom OSS environments (e.g., Network Inventory, Service Fulfillment).
• Participate in solution design, development, testing, and deployment activities.
• Ensure code quality through best practices, code reviews, and testing.
• Troubleshoot, debug, and resolve technical issues in development and production environments.
• Contribute to documentation and knowledge sharing across teams.

Senior Software Development Lead

QA Engineer

• Design, develop, and execute test strategies, test plans, and test cases for telecom OSS applications.
• Perform functional, integration, and system testing across Network Inventory, Service Fulfillment, and Service Assurance domains.
• Develop and maintain test automation frameworks and scripts.
• Execute and analyze API testing using tools such as Postman.
• Perform performance and load testing to ensure system scalability and stability.
• Collaborate with developers and business analysts to understand requirements and ensure test coverage.
• Identify, document, and track defects through resolution.
• Participate in Agile ceremonies and contribute to continuous improvement initiatives.
• Ensure adherence to QA best practices, standards, and processes.
• Support CI/CD pipelines and integrate automated tests into build processes.

Senior Lead, Quality Engineer

Senior Business Analyst

Engineer

• Work with Kafka producers and consumers to build high-performance systems.
• Collaborate with cross-functional teams in agile formats.
• Optimize Kafka configurations for performance and reliability.
• Contribute to the development of tools and frameworks in the Kafka ecosystem.

Senior Kafka Engineer

Architect

• Lead end-to-end Snowflake migration and data platform modernization programs across multiple teams and workstreams.
• Define and manage the overall program roadmap, delivery milestones, dependencies, and risk mitigation strategies.
• Serve as the primary interface for senior client stakeholders including CIOs, CDAOs, platform leaders, and business sponsors.
• Ensure migration strategies align with Snowflake architecture best practices and cloud-native design patterns.
• Provide oversight on data migration approaches, including data ingestion and transformation patterns, data validation and reconciliation, and performance optimization.

Technical Program Architect – Snowflake Migration

Technical Product Manager

• Own product strategy, roadmap, and value realization for the AI platform
• Drive quarterly and PI planning in coordination with Program Management
• Manage cross-functional dependencies across engineering, data, and governance teams
• Interface with business stakeholders, compliance teams, and executive sponsors
• Lead prioritization based on ROI, regulatory impact, and enterprise priorities
• Ensure transparent reporting, risk mitigation, and escalation management

Technical Product Owner – AI, AWS

• Lead the design and execution of enterprise data platform modernization, migrating legacy systems (Informatica, DataStage, SSIS, Oracle, SQL Server) to a scalable, secure Snowflake ecosystem

Snowflake Architect, Datastage, DBT, ETL, SSIS

DevOps Engineer

• Responsible for building enterprise-grade AI platform infrastructure, with focus on automation, scalability, and operational excellence.
• Engineer cloud-native platform components and shared services
• Build and maintain enterprise CI/CD pipelines and automation frameworks
• Implement infrastructure as code (Terraform) and environment provisioning
• Enable observability (metrics, logs, tracing) and cost optimization
• Ensure high availability, fault tolerance, and platform resilience