Manager 1 in India

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 Overview We are looking for a strong software and platform engineer to join our Production Engineering team in Bangalore as an individual contributor in FA ProductionEng APJ. This role will help build and operate internal platforms that improve how we provision, observe, govern, and troubleshoot engineering infrastructure at scale. The fleet management use cases that give teams a single place to understand and operate the test infrastructure. If you enjoy building internal platforms that remove friction, improve visibility, and make engineering teams faster and more effective, this role is for you. Why This Role Is Unique This is not a typical application development role.You will work on internal platforms that directly shape how engineering teams consume and manage shared infrastructure. The role spans platform engineering, workflow automation, observability, API-driven services, and infrastructure lifecycle management. The right candidate will work on systems such as: Self-serviceability workflows and lease-based testbed governance. Developer Platform dashboards and APIs used for triage, visibility, and product trend observation. Testbed and workflow orchestration across fleet management domains. Impact This role is a high-leverage engineering investment. The work will improve how engineering teams provision testbeds, understand failures, operate shared infrastructure, and move faster with less friction. Better

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Senior Cloud Platform Engineer At MX, we’re on a mission to empower the world to be financially strong. We power the financial experiences behind thousands of banks, credit unions, and fintechs, helping millions of people better understand, manage, and improve their financial lives. Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and it has to work, every time, at massive scale. We’re entering a pivotal phase of our technology evolution: moving from legacy on-prem infrastructure to a modern, cloud-native platform designed for resilience, security, and developer velocity. It’s a chance to build the next generation of MX’s platform thoughtfully, reliably, and with long-term impact in mind. If you enjoy working on complex systems, care deeply about uptime and reliability, and want your work to directly power the financial well-being of millions, this is where you’ll do the most meaningful work of your career. What You’ll Do Drive Cloud Migration: Drive the end-to-end migration of production workloads from on-premise data centers to GCP. Architect for Reliability: Design and implement production-grade Kubernetes environments and GCP architectures that prioritize 99.99+% availability. Operational Excellence: Improve incident triage and improved recovery timeby implementing cloud-aware diagnostics and automated recovery patterns. Empower Developers: Reduce friction in th

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Compensation Analyst III (Senior) – Equity Administration & Global Rewards Architect Appian's global equity and total rewards strategy while modernizing plan design for high-scale enterprise growth. Location: Chennai, India | Work Model: Hybrid About the Team The People Team at Appian fuels global growth by attracting, rewarding, and retaining world-class talent. In an industry powered by AI-Powered Process Automation , our team builds data-driven compensation strategies that sustain competitive market advantage. We partner directly with executive leadership to champion pay equity, optimize total rewards platforms, and drive scalable governance across global offices. The Opportunity As Appian accelerates its international expansion, modernizing our equity architecture and total rewards framework is critical. As Compensation Analyst III, you will act as a core global partner based out of our Chennai tech hub. You won't just analyze data; you will shape global pay equity initiatives, architect scalable equity management structures, and directly manage equity plan administration using E*TRADE/Morgan Stanley . This role offers a unique opportunity to build scalable compensation frameworks in a fast-paced environment backed by enterprise-grade stability. What You’ll Do Modernize Equity Plan Architecture: Lead global equity plan governance and modernize grant structures, option/RSU execution lifecycles, and cap-table administration using E*TRADE/Morgan Stanley . Drive Executive Insights & Strategic Analytics: Oversee global HR and compensation intellige

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Drives AI-first tooling, SDLC automation, and developer productivity initiatives Required Experience & Skills 6+ years of experience building internal tools or developer platforms Strong CI/CD and automation expertise, Generative AI integration in SDLC Core Backend & Architectural Fundamentals: Deep dive into data structures, algorithms, and microservices/distributed system architecture patterns. While we embrace a language-agnostic mindset, strong proficiency in Java or Python is preferred. Cloud & Infrastructure: Hands-on experience with cloud infrastructure, container frameworks (Docker/Kubernetes), and CI/CD pipelines is a major advantage Modern Engineering Practices (Highly Valued): Daily utilization of AI tools and agentic engineering environments (e.g., Kiro, Claude, Copilot) to accelerate software design, automate background workflows, and optimize developer productivity Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Global Experience Specialist – Global Alliances & Channels Empower global partners and drive ecosystem self-sufficiency by orchestrating specialized onboarding and training programs for our premier AI-Powered Process Automation platform. Location: Chennai, India | Work Model: Hybrid About the Team The Global Alliances and Channels team at Appian is a fast-paced, dynamic organization that plays an integral role in driving Appian's growth globally. We are passionate about driving digital transformation by bringing Appian solutions that provide the speed, agility, and efficiency needed for enterprises to compete and grow. Our team is dedicated to supporting an extraordinary global network, ensuring our partners are fully equipped to build, sell, and deliver Enterprise-Grade Orchestration at scale. The Opportunity At Appian, our values of Intensity and Excellence define who we are. We set high standards, approach challenges with ambition, and hold ourselves accountable to achieve the best results. As a Global Enablement Support Specialist, you will work closely with our Partner Experience Leader to help drive readiness across our global ecosystem. This role moves beyond standard coordination into a high-impact position where you will analyze performance metrics, manage programmatic workflows, and troubleshoot critical ecosystem resources to ensure our partners can seamlessly solve their customers' biggest challenges. What You’ll Do Partner with the Partner Experience Leader and Partner Sales Enablement team to guide, streamline

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

Role Purpose: The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market Role Value: As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumio's reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally. Example Responsibilities . Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio. Design and implement machine learning, deep learning, classical CV focused on fraud detection. Research to support the deployment of the advanced algorithms. Deploy models as AWS SageMaker endpoints or directly onto devices. Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences. Work collaboratively with other engineers and product managers in an Agile development environment. Experience and Qualifications Bach

Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.

Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.

Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.

Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.

Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.

Analyst: Trust and Safety Compliance Trust and Safety is a key function targeted towards enhancing the overall compliance to regulations on the platform for Item and Sellers. The function requires deep insights and understanding of various prohibited and restricted items, potential violation scenarios, Items listing risks, Seller risks and consequently develop the interventions at scale. Role & Responsibilities: Work closely with internal teams to identify, define, collect, and track key business metrics for products or business process specifically Listing and Seller Compliance related Overall compliance experience related to E-commerce Marketplace, Food Safety, Trade, Product Safety, Audit, FSSAI compliance, BIS, legal or related field. Pull data required to conduct business analysis, build reports, dashboards and metrics to monitor the performance and ability to run and execute queries and data analysis Ability to understand programs and manage the programs schedules and highlight risks related to schedules Hands on experience in conducting compliance related assessments. Work with the stakeholders to take data driven decisions. Exceptional written and verbal communication skills. Ability to multitask and work on a diverse range of requirements. Qualification: Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute. Have 3+ Years of experience in relevant role at an ecommerce / online company Strong problem solving and analytical skills.

Technical Skills: Java Programming: Solid understanding of core Java concepts such as OOP (Object-Oriented Programming), data structures, exception handling, multithreading, and collections. Java Frameworks: Basic experience with popular Java frameworks like Spring and Hibernate. Familiarity with Spring Boot for developing microservices is a plus. Web Technologies: Basic knowledge of web development technologies including HTML, CSS, and JavaScript. Exposure to frontend frameworks like Angular or React is advantageous. Databases: Understanding of relational database concepts and basic SQL. Experience with databases such as MySQL or PostgreSQL. Version Control: Familiarity with Git and basic version control concepts, such as branching and merging. Build Tools: Experience with build tools like Maven or Gradle for project management and dependencies. Integrated Development Environment (IDE): Proficiency in using IDEs like IntelliJ IDEA, Eclipse, or NetBeans for Java development. RESTful Web Services: Basic understanding of RESTful services and APIs. Experience in creating simple RESTful APIs is beneficial. Testing: Exposure to unit testing frameworks like JUnit or TestNG. Understanding of basic test-driven development (TDD) practices. Agile Methodology: Basic understanding of Agile software development practices, including working within a team using Scrum or Kanban. Soft Skills: Problem-Solving: Ability to analyze problems and develop logical solutions, with a willingness to learn and adapt to new challenges. Communication: Good verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Team Collaboration: Experience working in a team environment, contributing to collaborative projects, and participating in code reviews. Time Management: Ability to manage time effectively, prioritize tasks, and meet deadlines. Attention to Detail: Strong attention to detail, ensuring code quality and