Quantiphi

Architect

• Architecting, deploying and maintaining AWS Cloud based infrastructure services
• Cloud Migration Expertise with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures
• Design, build, and secure AWS platform infrastructure using IaC (CloudFormation / Terraform)
• Implement and manage security controls across AWS environments (IAM, KMS, Secrets Manager, Network Firewall)
• Implement centralized logging and monitoring using CloudWatch, SIEM tools, GuardDuty, and VPC Flow Logs
• Collaborate with application and DevOps teams to define secure architecture patterns, network segmentation, and zero-trust controls
• Conduct regular security assessments, risk reviews, and threat modelling for workloads hosted on AWS
• Support incident response activities, root-cause analysis, remediation planning, and post-incident improvements

Associate Architect – Platform

Backend Engineer

• Build and maintain .NET-based applications using C#, Blazor, and ASP.NET
• Develop and optimize medical imaging viewers and DICOM-based applications
• Implement advanced visualization techniques for medical imaging data
• Ensure cross-browser compatibility and responsive design
• Optimize applications for maximum speed and scalability
• Collaborate with UI/UX designers to implement visual elements and improve user experience
• Work with backend developers to integrate frontend components with API services
• Implement state management and maintain code organization in complex applications
• Participate in code reviews and provide constructive feedback to team members
• Be involved in proposals, RFPs and provide effort estimates, solution design etc.
• Communicate with a wide set of teams, including Design, Product, Backend, DevOps, and QA teams

Senior Software Developer – .Net, C#

• Support the planning and implementation of data flow design, provide sizing and configuration assistance
• Assisting the Solution Architects on programs for transformations and modernizations of data solutions using Azure cloud data technologies
• Write production quality code to deploy ML workflows in a distributed environment
• Design and Build Azure Data Pipelines and Data StreamsDesign and build a hybrid data solution using a combination of on-premise and in-cloud services
• Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact on our massive scale
• Build tools to ingest and process terabyte-scale data on a daily basis
• Communicate with a wide set of teams, including product owners, business analysts, data and enterprise architects, platform engineers, and cloud vendors, etc
• Compilation of detailed design documents, technical specification documents, and test plans as required
• Independently manage development tasks as per technical specification documents, prod deployment,post-prod support, etc
• Managing support to Unit Testing, SIT & UAT
• Coordinate with business and support teams on testing and migration activities

Associate Tech Architect – DE

Manager

• Client Management: Managing customer communication, relationships and escalation management. Guide the client on technology evaluation, technical thought leadership and direction for data and analytics projects. Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals. Showcase thought leadership on technology roadmaps, agile development methodologies and best practices. Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions.
• Project Delivery: Own the complete project lifecycle by managing the solutioning, engineering, testing, release and maintenance. Lead engagements with multiple work-streams; prepare project plans and manage deliverables. Guide and help team members to debug and solve technical problems. Project deliverables reviews and follow through till issues closure. Conflict resolution and dependency management.
• Team management: Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers. Ensure proper skill development of team members. Travel to customer sites, conferences, and other related events as required.

Engagement Manager

Data Engineer

• Lead and guide the design and implementation of scalable streaming data pipelines.
• Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming.
• Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset.
• Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies.
• Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads.
• Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment.
• Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response.
• Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work.

• Design and implement new, customer-specific functionality within our core PHP application.
• Maintain and refactor 'old-school' procedural and object-oriented PHP code.
• Write complex SQL queries, optimize schemas, and manage data integrity across PostgreSQL and MySQL environments.
• Help manage and deploy code to unique customer environments within an AWS-based architecture.
• Manually implement security best practices (e.g., preventing SQL injection, XSS, and CSRF).
• Partner with project managers and the core dev team to ensure customizations align with the long-term product roadmap.

Senior PHP Developer

• Design and implement complex, multi-step LLM workflows and "chains" to automate business logic.
• Build and maintain high-performance backend services using either Java or Python.
• Containerize and deploy services to Kubernetes (AKS), ensuring they are resilient and scalable.
• Connect backend services with various AI providers (OpenAI, Azure AI, Anthropic, etc.) and Vector Databases.
• Implement monitoring and logging specifically for AI workloads to track model performance, latency, and "hallucination" rates.