Senior Full Stack Engineer 2c Intelligence Systems Jobs

Work Flexibility: Hybrid The Senior Quality Management System Specialist will help design, maintain, and continuously improve a quality management system that supports regulatory approval and business growth across global markets. You’ll collaborate across functions to ensure quality processes are not only compliant, but practical, efficient, and future‑ready. Activities include Quality System documentation, Internal Quality Agreements, Supplier Quality Agreements, and general QMS activities related to Mergers and Acquisitions. This role is Hybrid in Portage, Michigan . What You Will Do Support and maintain a compliant Quality Management System aligned with global medical device regulations to enable product certification and regulatory clearances. Develop and update quality system processes, procedures, and documentation to reflect business needs and regulatory expectations. Assess and quantify quality system requirements to optimize structure, integration, and scalability. Identify and implement continuous improvement opportunities that increase efficiency and effectiveness of quality processes. Support management review, quality planning forums, and related governance activities with data-driven inputs. Partner with stakeholders to ensure quality processes reflect actual operational activities, including support for new product development. Prepare for and support internal, external, and third‑party quality system audits, including responses and follow‑up actions. Contribute to quality system training content and delivery to ensure effective adoption across the organization. What You Will Need Bachelor’s degree in science, engineering, business, or a related discipline. <

The Engineering Lead Analyst – Test Automation Platform Engineering is a senior-level technical leadership role responsible for driving the architecture, implementation, management, operational support, and continuous enhancement of enterprise test management and automation platforms. In this role, you will lead efforts to modernize test automation capabilities across the global technology ecosystem. You will architect end-to-end integration workflows, embed automated quality gates into enterprise CI/CD pipelines, and administer as well as operationally support both vendor and internally developed enterprise platforms (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, CSDP / Octane). Additionally, you will play a critical role in production operations—delivering tier-3 platform support to rapidly and safely troubleshoot, triage, and remediate performance and availability issues in complex, distributed production environments. The ideal candidate blends deep hands-on expertise in software testing frameworks, modern DevOps pipelines, containerized infrastructure, message-driven integration, and robust operational resilience practices with strong governance, compliance, and stakeholder leadership skills. Key Responsibilities 1. Platform Engineering & Operational Support Install, configure, upgrade, administer, and support enterprise test management and performance engineering toolsets (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, Core Software Development Platform [CSDP] / Octane). Provide end-to-end operational support for

Become a part of our caring community The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. Key Responsibilities Define the enterprise storage vision, reference architecture, engineering standards, and five-year roadmap across block, file, object, software-defined, and hybrid storage services. Lead architecture decisions for on-premises AI infrastructure, including high-throughput and low-latency storage fo

Brief Description of the Organization Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Citi’s Personal Banking and Wealth Management (PBWM) division is building a purpose-driven team to serve its globally diverse, digitally forward customers in top cities around the world. We’re looking for exceptional candidates who think digitally and differently, resolve problems in unconventional ways and strive to provide a remarkable experience for our clients. We define success by our Citi Leadership Principles: We Take Ownership, We Deliver with Pride and We Succeed Together. Overview of the Role The Head of USCC Personal Loans Core Platforms and Lending Integrations is accountable for the execution and delivery of next-generation API integration platforms across value proposition, lending, and commerce ecosystems. This role owns a critical engineering function responsible for building scalable, secure, and compliant integration platforms that support Value Cards, Lending and Commerce business in USCC. The individual applies deep technical expertise and strong business understanding to translate strategic priorities into enterprise-grade API integration solutions. This is a highly technical leadership role, requiring the individual to actively drive architecture, influence low-level design, and guide implementation through principal and senior engineers. The role is expected to set engineering standards, define technical guardrails, and contribute hands-on where required, including the ability to review, prot

Weekly office requirement: 3 days per week Employment type: permanent Seniority level: mid-senior/director level Salary Range :$120,000 to $130,000k DOE. and commission plan At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Account Director to play a key role in our Enterprise team in New York. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? 🤔 As our Account Director, you’ll: own GWI’s relationship with some of the top network agencies in the world, such as WPP, Stagwell, and Havas. Our ideal candidate will excel at relationship-driven opportunities, have proven sales experience with market research tools and data, and come with their own network of well-earned industry contacts. A few things you’ll be responsible for: 👉 Own the entire revenue cycle with existing Tier 1 agency accounts – everything from renewal to upsell and expansion 👉 Identify new business opportunities within the account structure and execute well-planned, creative strategies to achieve both short-term and long-term commercial growth goals 👉 Enthusiastically present GWI product offerings with your own personal conviction and style 👉Collaborate well within a team-oriented environment - bring fresh thinking and new ideas to your team and senior leaders at GWI. It’s also fun; shaking things up is what working for GWI is all about. You’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment. What do I need to bring with me? 🧳 You’ll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you: Technical 👉 Bring demonstrated experience selling

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

Opportunity Overview We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data. What You'll Do Semantic Layer Governance: Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across Architect the Enterprise Context Layer: Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems. AI-Native Prototyping : Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers. Security & Compliance Leadership : Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation. Cross-Functional Collaboration : Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders. ISMS roles and responsibilities Good knowledge of Informati

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

About the Team The GSIO Workforce Management Planning Team consists of our Senior Manager, 3 Workforce Managers, multiple Workforce Planners/Schedulers and RTAs. Enjoy a comfortable team-oriented environment where things are always happening at a rapid pace and you can prioritize and organize tasks simultaneously. Manage outcomes and be empowered to make the decisions to lead to those outcomes. Be focused on quality, output-motivated, an extreme achiever who is progressive, and always pushing yourself to be 1% better each day! About the Role As one of DoorDash’s core operations teams, Support Ops is tasked with ensuring that when there are bumps in the last mile there’s always someone there to help make things right. Our team designs, manages and operates DoorDash’s massive and growing global network of support centers, with the ultimate goal of delivering a world-class customer experience every time. As part of DoorDash’s Support Operations Team, we’re looking for an experienced Workforce Planner to help develop and scale our support lines of businesses in the Mexico City area. This role will be a key player in planning our monthly, daily, and hourly staffing levels and ensure we’re providing our customers with best-in-class service with up to date hiring plans. This role will play a vital part in improving forecast accuracy, reporting, and planning around floor staff utilization and efficiency. You’re excited about this opportunity because you will… Build and maintain support capacity plan models at a monthly, weekly, and interval level for a large, 24/7/365 organization. Forecast incoming contacts based on Delivery volume, Mx and Dx onboarding. Analysis on historical data to provide insights that improve support operations. Guide Short-Term staffing adjustments to address current staffing gaps. Work with our operations team to track how our staffing is being implemented and optimized. Make proactive and corrected improvements. Partner with Real Time Analysts for

Asana is looking for a Senior Product Designer to help shape the future of onboarding and user adoption in the age of AI. In this role, you’ll design intelligent, adaptive experiences that help new users quickly realize value through AI-powered workflows, guidance, and personalization. You’ll work at the intersection of product design, AI interaction design, and rapid product exploration, partnering closely with product managers, engineers, researchers, and data scientists to prototype, test, and evolve ideas quickly. We’re looking for a designer who is energized by ambiguity, excited about emerging AI capabilities, and eager to explore ideas collaboratively through making. This role is ideal for someone who thrives in fast-moving environments, loves using prototypes to think and communicate, is energized by experimentation and iterative learning, and is excited by a highly collaborative product development process where ideas evolve continuously across disciplines. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. About the design team We design the future of teamwork . Asana has a bold, ambitious mission: help humanity thrive by enabling the world’s teams to work together effortlessly. Our design team is at the heart of that mission. Asana Design is an inclusive and collaborative community. We’re a diverse group of designers from different backgrounds (product, brand and content design, design operations, producers, motion design, film, copywriting). We are a team that loves combining research, data insights, and peer feedback into a human-centered design process to produce designs that are core to

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Experience: 8–10 Years Location: Mumbai Job Summary We are seeking a highly skilled Senior QA Automation Engineer with 8–10 years of experience in software testing and automation. The ideal candidate should have strong expertise in UI and API test automation using Playwright with TypeScript and hands-on experience in Agentic AI testing, including AI-driven workflows, Large Language Models (LLMs), AI agents, and evaluation frameworks. The candidate will play a key role in designing, developing, and maintaining scalable automation frameworks while ensuring the quality of modern AI-powered applications. Key Responsibilities · Design, develop, and maintain robust UI

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

As an Executive Assistant, you will serve as a trusted partner to senior executives, ensuring the seamless management of their day-to-day operations and helping maximize their effectiveness. You will be responsible for complex calendar management, travel coordination, communications support, meeting preparation, and a variety of administrative and operational functions. This role requires exceptional organization, attention to detail, discretion, and the ability to anticipate needs in a fast-paced, constantly evolving environment. In addition to supporting executives, you will collaborate closely with the broader people team, provide backup support as needed, and serve as a positive ambassador for our culture and values. To be successful in this role, you are highly organized, proactive, resourceful, and adaptable. You thrive in a dynamic environment, exercise sound judgment, communicate effectively with stakeholders at all levels, and consistently maintain a high degree of professionalism and confidentiality. *Please note, this role will be asked to be in our New York office Monday through Friday. As the Executive Assistant, you can expect to: Provide administrative support to our Chief Product Officer and Chief Technology Officer Manage a meeting heavy calendar and stay on top of their changing priorities, acting as a gatekeeper and partner Support executive communications and correspondence, ensuring timely follow up and coordination as needed. Prepare executives for meetings by coordinating agendas, gathering materials, and ensuring all relevant information is available in advance. Track action items, deadlines, and deliverables, proactively following up to ensure completion. Assist with planning and coordination of company events, team gatherings, offsites, and employee engagement initiatives. Coordinate domestic and international travel arrangements, including flights, accommodations, transportation, itineraries, and logistics. Prepare and submit accurat

About the Role Sigmoid is looking to onboard a Senior Leader to anchor our CPG Supply Chain Analytics practice in Bengaluru. In this role, you will drive strategic initiatives, foster innovation, and provide visionary leadership to our Supply Chain Analytics practice. Roles and Responsibilities Leading and overseeing our Supply Chain Analytics Practice development, setting strategic direction and driving business growth. Develop and execute a comprehensive strategy to expand our presence in the industry practice, identifying market opportunities and driving revenue growth. Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. Facilitate the development of advanced analytics (AI/ML) and data modeling to optimize decisions. Knowledge Management: Author or contribute to articles and Intellectual Capital that advance the quality of client service and oversee practice-level knowledge management activities to lead and propagate a knowledge management culture within management consulting services. Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions. Drive thought leadership initiatives, representing our company at industry events, conferences, and forums. Qualifications Bachelor’s Degree (BE/BTech - CS) from Tier I/II universities like IITs/NITs and MBA from top-tier B-schools (IIM) preferred. 8-12 years of experience in consulting and implementing Data & Analytic solutions for large CPG customers. Direct front-office consulting experience with strategic customer leadership is a must. Strong leadership and management skills, with the ability to inspire and motivate teams to achieve excellence. Excellent communication and interpersonal skills, with the ability to build and maintain relationships with clients and stakeholders. Strategic mindset, with the ability to think critic

Lead Revenue Assurance lead and oversee the end-to-end revenue assurance process across multiple business entities by ensuring seamless coordination with senior stakeholders, driving adherence to KPIs, SLAs, and KRAs, resolving systemic issues, and leading continuous process improvement across teams. The role requires strategic oversight of revenue assurance activities, team performance monitoring through team leads, and high-level stakeholder engagement with operations and finance leadership. Source: Adani Group | Job ID: 41519