Practice Development Manager Jobs

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Key Responsibilities: As a Software Developer - Platform, you will play a vital role in building and enhancing tools that empower our Quant, Infrastructure, Compliance, and Operations teams. In addition to web application development, you will be responsible for automating critical infrastructure processes, optimizing tasks, and delivering scalable solutions for our trading ecosystem. Application Development: Develop and maintain in-house software tailored for business and trading requirements. Enhance internal tools and applications to improve the user experience for different teams. Ensure robust and reliable trade monitoring systems through continuous innovation. Automation Development: Design and develop frameworks to automate infrastructure provisioning, configuration, and deployment using latest industry best practices Automate exchange-specific tasks such as connectivity management, order book monitoring, and trade execution workflows. Task Optimization: Identify and optimize repetitive tasks through scripting and configuration management. Ensure scalable and adaptable solutions to support multiple exchanges and regions. Infrastructure as Code (IaC): Use Ansible to codify infrastructure configurations, ensuring consistency and repeatability. Manage playbooks for server setups, network configurations, and middleware deployment. System Monitoring and Maintenance: Develop tools for system health checks, performance monitoring, and logging. Automate response mechanisms for critical alerts and incidents. Collaboration: Work closely with infrastructure, network, and trading teams to gather requirements and deliver robust solutions. Coordinate with exchange connectivity teams to ensure complianc

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Digital & Data Experience (DDX) business unit simplifies fleet management through intelligent, cloud-native solutions. Our SaaS platform enables customers to manage their assets through automation, security, and AI-driven insights. In this role, you will contribute across the full application development lifecycle while helping build and maintain our data intelligence platform. Working closely with engineering teams, you will develop automated testing solutions, support mission-critical processing services, and help ensure our platform is secure, reliable, and scalable through modern engineering and quality practices. WHAT YOU'LL DO Work across the full application development lifecycle, designing, developing, testing, operating, and maintaining mission-critical processing services with a focus on security, compliance, and interoperability. Create and maintain test automation for our data intelligence platform, verifying applications across unit, integration, and end-to-end testing layers. Collaborate with peers and stakeholders to identify requirements and take solutions from initial design through production. Contribute to engineering best practices, including code reviews, documentation, continuous integration, and continuous deployment. Experiment with new technologies, platform ecosystems, and AI-assisted approaches to improve automation, platform capabilities, and engineering efficiency. Work with en

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The FlashBlade team builds the industry’s most innovative, high-performance, and highly available portfolio of products that are designed for the most demanding mission critical applications. While we deliver a hardware storage array, over 90% of our engineering staff are software engineers. Our customers are the most important part of our business and they love FlashBlade for its simplicity of management, the constant flow of new and exciting upgrades, and ability to live on the cutting edge of technology while never taking downtime, ever. FlashBlade enables our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications. You’ll architect, implement, and optimize core services that span on-premises arrays and cloud deployments—delivering seamless storage experiences to enterprises around the globe. If you thrive on solving hard problems, influencing technical direction, and driving innovation end-to-end, this is the role for you. WHAT YOU'LL DO Manage the full software development life cycle, from initial architecture and invention through development, release, and ongoing maintenance. Drive the technical strategy by influencing system design, architecture, and best practices, specifically contributing to the evolution of the FlashBlade Networking product area. Invent and optimize algorithms to orchestrate multi-array and multi-cloud storage systems, foc

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

Roles & Responsibilities:- Planning Facilitates roadmap meetings. Ensures the business commit happens with proper coordination across teams and scope is well understood. Derives functional specs and provides a solution Architecture based on PRD. Ensures a proper project plan is available for all major features. Presentation to all Stakeholders. Planning and administering both projects and the overall program. Escalation point for any program. Execution Owns the overall execution plan that is derived from individual team plans. Ensure that teams follow the agreed process and guidelines. Status communication to all stakeholders.(Business & Engineering). Change Management. RISK management. Ensures that deliverables meet the quality standards set. Responsible for all cross team communications. Guides the team on best practices and processes. Maintains the KPI Metrics @ division and Program Level. Closure Lessons Learned are documented and applied in further programs. Contracts are formally closed and conduct necessary meetings to check and communicate that the key tenets of the project are met or not. Transfer of Deliverable s to customer and support functions. Desired Skills and Experience:- 6-8 years of technical program management experience. Deep hands-on technical expertise & systems knowledge. Excellent understanding ofprocessing platforms and queues Must have exposure to leading product development within a high growth environment Ability to lead cross functional teams of developers, designers, DevOps engineers. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope. Requirement gathering, definition, and documentation experience & manage release schedules Ability to communicate effectively at all levels with executives and technical teams. Ability to handle multiple priorities in a fast-paced environment & deep&nbsp

Roles & Responsibilities:- Planning Facilitates roadmap meetings. Ensures the business commit happens with proper coordination across teams and scope is well understood. Derives functional specs and provides a solution Architecture based on PRD. Ensures a proper project plan is available for all major features. Presentation to all Stakeholders. Planning and administering both projects and the overall program. Escalation point for any program. Execution Owns the overall execution plan that is derived from individual team plans. Ensure that teams follow the agreed process and guidelines. Status communication to all stakeholders.(Business & Engineering). Change Management. RISK management. Ensures that deliverables meet the quality standards set. Responsible for all cross team communications. Guides the team on best practices and processes. Maintains the KPI Metrics @ division and Program Level. Closure Lessons Learned are documented and applied in further programs. Contracts are formally closed and conduct necessary meetings to check and communicate that the key tenets of the project are met or not. Transfer of Deliverable s to customer and support functions. Desired Skills and Experience:- 6-8 years of technical program management experience. Deep hands-on technical expertise & systems knowledge. Excellent understanding ofprocessing platforms and queues Must have exposure to leading product development within a high growth environment Ability to lead cross functional teams of developers, designers, DevOps engineers. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope. Requirement gathering, definition, and documentation experience & manage release schedules Ability to communicate effectively at all levels with executives and technical teams. Ability to handle multiple priorities in a fast-paced environment & deep&nbsp

About the Role We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support. Key Responsibilities Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs. Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW. Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming. Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements. Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption. Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes. Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP). Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met. Manage Transport Requests across development, quality, and production landscapes following change management best practices. Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks. Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions. Provide production support, root-cause analysis, and long-term fixes for data and performance issues Requ

POSITION SUMMARY The Full Stack Developer is skilled in PHP, Angular, and MariaDB/MySQL to build scalable, secure, and high-performance web applications. Key Responsibilities · Develop and maintain backend services using modern PHP and MariaDB/MySQL. · Build RESTful APIs and integrate them with Angular applications. · Develop responsive UI components using Angular, TypeScript, HTML5, and CSS/SCSS. · Modernize legacy AngularJS components to Angular. · Implement authentication/authorization (OAuth, SAML, JWT, MFA) and follow OWASP security practices. · Work with Docker, Git/GitHub, and CI/CD pipelines. · Monitor and optimize frontend and backend performance (Sentry, CloudWatch). · Participate in Agile/Scrum processes and conduct code reviews. SPECIFIC JOB RESPONSIBILITIES 1. Frontend & UI Orchestration · Cross-Framework Mastery: Develop and optimize complex UIs in Angular (v16+) or React , ensuring seamless state management and responsive design. · T3 Stack Architecture: Lead the development of next-gen features using Next.js , Tailwind CSS , and tRPC for end-to-end type safety. · Modern Tooling: Utilize Vite, Turborepo, and modern CSS patterns to maintain a high-velocity developer experience. 2. Full-Stack & Backend Engineering · Type-Safe APIs: Build and consume GraphQL and REST APIs. Leverage tRPC to eliminate the need for manual API documentation between the frontend and backend. · Polyglot Data Management: * Architect relational schemas and optimize complex queries in PostgreSQL . o Manage unstructured security telemetry and real-time logs in MongoDB . · ORM & Migrations: Use Prisma or Drizzle to manage database interactions with 100% type coverage. 3. AI Integration & Innovation · LLM Implementation: Integrate AI m

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO Monitor, triage, and assess incidents across global markets and technology platforms, validating severity, business impact, and escalation requirements. Act as command-and-control lead for major incidents, driving structured response, rapid restoration, and informed decision-making. Coordinate recovery efforts across L1/L2/L3 support teams, engineering, infrastructure, and third-party vendors to minimize business disruption. Lead internal and external stakeholder communications, including senior leadership, during incidents and service disruptions. Trigger and govern disaster recovery (DR) failover in line with predefined criteria, controls, and governance standards. Ensure accurate, timely, and audit-ready incident documentation, including detailed timelines, evidence, and impact analysis. Facilitate post-incident reviews (RCA/post-mortems), ensure root causes are clearly identified, and track corrective and preventative actions to closure. Govern end-to-end change management, including change risk assessment, CAB facilitation, approval workflows, maintenance windows, and change-related incident management. Drive continuous improvement in incident, change, and event management processes through automation, standardization, and improved tooling and alert quality. Partner with engineering and operations teams to design scalable, resilient processes, promote best practices, and enhance operational matur

JOB TITLE Cloud Compute Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Design, build, and operate Kubernetes clusters on Amazon EKS, including cluster lifecycle management, networking, autoscaling, and workload scheduling. Manage and optimize EC2-based compute infrastructure, including instance selection, placement strategies, capacity planning, and utilization analysis. Operate and improve ECS-based services where applicable, ensuring consistency across our container runtime environments. Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage compute resources at scale. Collaborate with development and platform teams to define compute patterns, containerization standards, and deployment best practices. Monitor compute environments for availability, performance, and cost, driving continuous optimization across the fleet. Contribute to architectural decisions around workload placement, multi-tenancy, OS image and container li

JOB TITLE Cloud Engineer A Career with point72’s technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What You'll Do Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code (IaC) with Terraform. Manage and optimize foundational platform for AWS/GCP/Azure services including IAM, Virtual Private Cloud networking, Cloud Security controls and policies, Cloud platform tools and automation to ensure scale, performance and security. Collaborate with development and operations teams to automate deployment and operational processes. Monitor cloud environments to maintain high availability and security standards. Participate in architectural discussions and contribute to the technical roadmap for cloud solutions. Implement best practices for cloud resource optimization and cost management. What's Required Bachelor’s degree in Computer Science, Engineering, or a related field. 5 to 10 years of experience in cloud infrastructure design and automation with optional experience in cloud networking. Proficiency in Infrastructur

A Career with point72’s Technology team As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do Provide high‑quality technical support via phone, chat, email, and self‑service channels while delivering white‑glove service to global employees. Diagnose and resolve incidents across end‑user technologies (Windows/Mac), Microsoft 365, collaboration tools, financial/trading apps, mobile devices, and enterprise applications. Troubleshoot identity, networking, and endpoint issues including Active Directory, VPN, device configuration, endpoint management, and mobile device management. Deliver first‑contact resolution whenever possible while logging, categorizing, prioritizing, and managing tickets in the ITSM platform according to SLAs. Escalate complex issues with clear technical documentation, diagnostic details, and handoff notes to downstream support teams. Create, improve, and maintain knowledge base content, capturing troubleshooting steps, solutions, and best practices. Participate in structured shift handovers and support follow‑the‑sun operational coverage. Identify opportunities for automation, self‑service enhancements, process improvements, and overall service optimization. Communicate clearly and professionally with users, manage expectations, provide timely updates, and maintain composure under pressure. Support operational excellence by contributing to continuous improvement initiatives and maintaining strong documentation discipline. What’s REQUIRED Bachelor’s degree in computer science or related discipline,

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Build software applications and deliver software enhancements and projects supporting fund accounting and trade processing technology. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Driving architecture of core platforms and accelerating modernizing leveraging AI tools. Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using the latest technologies and software development ideas. Participate in initiatives to transition select applications to cloud platforms, enhancing stability, scalability and performance of the existing platform. Develop close wo