Customs Associate in India

Laravel PHP Developer India Jaipur, Rajasthan Job Description: • Develop and maintain dynamic web applications using Laravel and Core PHP • Build and customize websites using open-source CMS platforms such as: o WordPress (custom themes, plugins, WooCommerce) o Shopify (theme customization, app integrations) • Work across various website domains: o eCommerce stores o Education & eLearning platforms o Classifieds & Directory listing sites • Integrate APIs and third-party services including payment gateways, CRMs, and analytics tools • Use AI-powered tools for code generation, review, and optimization (e.g., GitHub Copilot, DeepCode) • Maintain clean, efficient, and well-documented code • Collaborate with cross-functional teams including UI/UX, QA, and Project Managers Required Skills & Experience: • Strong hands-on experience with Core PHP and Laravel (v8 or higher) • Experience with WordPress, Shopify, and WooCommerce platforms • Exposure to eCommerce, Education, and Directory/Classifieds-based websites • Solid understanding of MVC architecture, OOP, and RESTful APIs • Familiarity with frontend technologies: HTML5, CSS3, JavaScript, jQuery • Proficiency with MySQL/MariaDB and Git version control • Experience with AI tools like GitHub Copilot, ChatGPT for dev workflows • Ability to troubleshoot and debug efficiently

The NetSuite Developer – FSM is responsible for the configuration, development, and support of NetSuite solutions with a strong focus on the Field Service Management module. The ideal candidate will build, test, and maintain FSM workflows and integrations while partnering with functional consultants and clients to translate business requirements into technical solutions. Responsibilities Design, develop, and implement customized NetSuite solutions including scripts, workflows, and FSM configurations Configure and optimize FSM functionality — dispatch, scheduling, work orders, resource management Create custom scripts using SuiteScript 2.0/2.1 Communicate efficiently with functional consultants, project managers, and end-users Develop integrations with 3rd party systems via their APIs Troubleshoot and resolve issues within existing NetSuite/FSM implementations Perform release preview testing to ensure compatibility ahead of NetSuite upgrades Basic Qualifications Previous experience working with NetSuite ERP is mandatory 3+ years of experience creating custom scripts with SuiteScript 1.0/2.0/2.1 Direct hands-on experience with Field Service Management (FSM) required Experience using a GIT repository NetSuite SuiteCloud Developer Certification is a plus Desired Qualifications Hands-on cloud integration experience with NetSuite Integration Platform (NSIP), Celigo, or Boomi Experience in HTML, CSS3, JavaScript, jQuery Data management experience (SQL, XML, JSON) Web services experience (REST, SOAP) Active familiarity with utilizing AI tools (e.g., Claude Code, Codex) on a day-to-day basis to enhance development workflows College or University degree in Computer Science How You’ll Embody Our Core Values At Plative, our core values shape how we work, collaborate, and grow. As part of the team, you will: Put People First: Build trusted relationships with clients and mentor teammates. Grow Together, Win Together: Share knowledge, celebrate wins, and elevate others. Bring Your

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. Location- Chennai Team: Engineering Enablement Group As a Senior Software Engineer in our Engineering Enablement Group, you will lead the re-design and evolution of our Mobile Branding framework — the system that enables customers to create custom-branded versions of the Appian mobile application for both iOS and Android. You will drive the architectural modernization of the end-to-end branding pipeline, from the customer-facing Forum application and provisioning tools to the backend build service running on Mac EC2 runners in AWS. By leveraging modern microservices, CI/CD automation, and cloud-native infrastructure, you will transform the current system into a more reliable, scalable, and maintainable platform that reduces manual intervention and accelerates customer delivery. We are looking for a technical leader who can bridge the gap between complex Ruby/Bash-based tooling, Appian process models, and AWS infrastructure to deliver a seamless mobile branding experience. Primary Qualifications: 6-9 Strong working experience with Android and iOS frameworks and mobile application development workflows. Familiarity with mobile build systems (Fastlane, Xcode, Gradle) and code-signing workflows. Experience with proficiency in Python, with experience in Ruby, Bash, or Go being a plus. Advanced experience with AWS infrastructure (S3, Lambda, EC2) and CI/CD pipeline design. Strong end-to-end knowledge of pipeline creation, deployment automation, and infrastructure-as-code (Terraform). Familiarity with monitoring, observability, and performanc

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. Responsibilities: - Develop, maintain, and extend test frameworks and infrastructure including system-level regression and smoke tests - Develop automated tests, identify when and where tests should be written, and implement performance test plans - Build custom testing applications in languages like Java or Python using tools like WebDriver, Locust, BrowserStack, Appium, Selenium Grid, and Postman - Develop automation that minimizes fragility through architectural patterns that isolate coupling to the System Under Test (SUT) - Develop and execute test automation for mobile use cases and offline functionality - Assess the impact of changes across the codebase through code reviews and ensure best practices are being followed - Explain features clearly - the intent, impact, value, and how they work; preferably possess working knowledge of at least one Appian subsystem - Proficient with IDE, build processes, Git, Jira, and CI - Break down features into story tickets; identify edge cases, technical risk, and troubleshoot defects to a single module - Distinguish between test error and application error; narrow down defects to a single module or function - Contribute to TAC documents and technical artifacts; challenge decisions with healthy debate; demonstrate a high standard of quality - Demonstrate clear understanding of priorities; surface blockers quickly; complete work with minimal prompting Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-spe

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. Responsibilities: - Develop, maintain, and extend test frameworks and infrastructure including system-level regression and smoke tests - Develop automated tests, identify when and where tests should be written, and implement performance test plans - Build custom testing applications in languages like Java or Python using tools like WebDriver, Locust, BrowserStack, Appium, Selenium Grid, and Postman - Develop automation that minimizes fragility through architectural patterns that isolate coupling to the System Under Test (SUT) - Develop and execute test automation for mobile use cases and offline functionality - Assess the impact of changes across the codebase through code reviews and ensure best practices are being followed - Explain features clearly - the intent, impact, value, and how they work; preferably possess working knowledge of at least one Appian subsystem - Proficient with IDE, build processes, Git, Jira, and CI - Break down features into story tickets; identify edge cases, technical risk, and troubleshoot defects to a single module - Distinguish between test error and application error; narrow down defects to a single module or function - Contribute to TAC documents and technical artifacts; challenge decisions with healthy debate; demonstrate a high standard of quality - Demonstrate clear understanding of priorities; surface blockers quickly; complete work with minimal prompting Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through departm

SPECIFIC JOB RESPONSIBILITIES Defensive Operations (SecOps): Design and automate the Security Incident Response (SIR) and Vulnerability Response (VR) lifecycles. Build playbooks in Flow Designer to automate threat containment and remediation. Offensive Operations: Develop custom scoped applications to track penetration testing results, manage red-team engagement lifecycles, and automate the ingestion of reconnaissance data. Compliance & GRC: Configure and customize Integrated Risk Management (IRM) modules to map technical controls to frameworks like SOC2, ISO 27001, HIPAA, and FedRAMP. Integrations & Orchestration: Build robust, secure integrations (REST/SOAP, IntegrationHub , MID Servers) with our XDR, SIEM (Splunk/Sentinel), and cloud-native services (AWS/Azure/GCP). Multi-Tenancy & MSSP Architecture: Architect a scalable, multi-tenant environment that ensures strict data isolation between clients while allowing for unified " ClickOps " and Terraform-driven automation. AI & Innovation: Explore and implement Now Assist (GenAI) and AI-heavy workflows to automate security reporting and incident summarization. Defensive Operations (SecOps): Design and automate the Security Incident Response (SIR) and Vulnerability Response (VR) lifecycles. Build playbooks in Flow Designer to automate threat containment and remediation. Offensive Operations: Develop custom scoped applications to track penetration testing results, manage red-team engagement lifecycles, and automate the ingestion of reconnaissance data. Compliance & GRC: Configure and customize Integrated Risk Management (IRM) modules to map technical controls to frameworks like SOC2, ISO 27001, HIPAA, and FedRAMP. Integrations & Orchestration: Build robust, secure integrations (REST/SOAP, IntegrationHub , MID Servers) with our XDR, SIEM (Splunk/Sentinel), and cloud-native services (AWS/Azure/GCP)

JOB TITLE IT Operations Engineer, Application Support 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 • Provide technical support for software applications and investigate, diagnose, and resolve application issues • Automate start-of-day and end-of-day checks for key applications. • Log and track incidents across applications in the production environment. • Implement monitoring and automation initiatives and develop custom solutions using Python, Shell, and/or Powershell scripts. • Create tactical support tools and scripts to improve the incident investigation process and enable • transparency into potential business impacts. • Prioritize and categorize incidents based on severity and impact. • Collaborate with the development team to improve applications based on user feedback. • Create and maintain documentation for responding to common errors and application incidents. • Assist with software applications deployment and configuration . • Provide training and assistance to users to ensure effective use of applications and systems. • Develop knowledge base resources to empower users to independently resolve common problems. WHAT’S REQUIRED • Bachelor's degree in computer science, information technology, or a related field. • Experience supporting middle- and back-office applications created in .Net, Java, C# etc. Ability to debug apps using of code, logs, alerts etc. • Literacy in complex SQL procedures/queries. • Ability to diagnose and troubleshoot technical issues.

Opportunity Overview: We are seeking a Financial Analyst to join our FP&A team. This is a hands-on, detail-oriented role embedded within our Commercial organization. The right candidate brings sharp analytical instincts, a bias for action, and the ability to deliver reliable financial support at a pace that keeps up with a fast-moving sales team and pricing leader What you’ll do: Develop, maintain, and utilize pricing models to forecast profitability, revenue impact, and margin changes Analyze the cost impact of process and product improvements, incorporating them into financial and pricing models Partner with Commercial, Clinical/Operations, and Actuarial teams to develop comprehensive pricing models and present strategic summaries to executive leadership Review and approve deal opportunities, RFP responses, custom pricing structures, and discounting frameworks Gather and compile data points from internal systems to monitor financial performance, metrics, and client profiles Assist with organization-wide strategic projects and provide scenario modeling, serving as the subject matter expert for pricing strategy and inputs Support budget and forecast preparation for the sales and marketing organizations — partnering with the team to build credible, data-backed plans Utilize Adaptive Insights (Workday Adaptive Planning) to manage planning cycles, scenario modeling, and financial reporting with efficiency and accuracy Apply AI-powered analytics tools to automate routine tasks, surface insights faster, and continuously elevate the quality of financial outputs ISMS roles and responsibilities Fair understanding of Information Security practices. Align to the organization policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications: Must-haves 3–6 years of pricing, commercial finance, or operations finance experience; healthcare, BPO, or technology-enabled services industry background preferred Adva

Opportunity Overview: We are looking for a Senior Clinical Configuration Analyst to play a key role in the technical configuration of platform requirements for Cohere’s Platform-as-a-Service (PaaS) clients. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with client-facing team members to understand and deliver key clinical configurations that are integral to helping new and existing clients meet their prior authorization automation goals. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Ensure thorough understanding of client’s technical requirements to facilitate seamless configuration of platform requirements during new client implementations Test configurability of new product functionality, or enhanced existing functionality, built to accommodate custom client requirements Define test scenarios and success criteria for all new and existing client platform configurations Execute on configuration of platform requirements in accordance with project timelines and client expectations Triage and resolve technical issues, during end-to-end testing or post-implementation, in a timely manner to ensure client satisfaction Serve as a technical SME for client-facing analysts during each stage of the customer lifecycle: providing education and answers to questions around configurability of client platform requirements; occasionally interfacing directly with clients to address issues Collaborate with Product, Development, Design, and Engineering to scope, develop, and implement internal configuration management tools that will help scale configuration work Required Qualifications: Must-haves 3-6 years of professional experience in a Configuration Management role; Bachelor’s degree in Computer Science, Systems Engineering, or related field Problem-Solving

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. We are seeking a highly skilled, Field Engineering Technician to manage the maintenance, calibration, and local deployment of a fleet of 600 custom wearable camera rigs. Unlike standard IT support, this role sits at the intersection of precision electronics, mechanical assembly, and field operations. You will be the primary guardian of our hardware integrity, ensuring that high-stakes egocentric data collection continues without interruption across various deployment sites. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Who You Are: Field Engineering Technician – Wearable Devices Experience: 0–2 years Shift: Rotational Location: Bangalore Employment type: 1 year contract Role overview We are

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! As a Senior Salesforce Developer at New Relic, you will be responsible for building and maintaining our Salesforce org. You will work closely with our Sales Revenue & Finance teams to automate processes and build custom applications on the Salesforce platform. In this role, you will be responsible for the full development life cycle, from Design and Solution to deployment and maintenance. The ideal candidate will have 5+ years of experience as a Salesforce developer and be proficient in Apex, Lightning Web Components and Visualforce. They will also have experience with integrations and be able to work with other team members or independently. Duties & Responsibilities Design, develop, test, deploy, and maintain high-quality Salesforce.com solutions Configure Salesforce.com to meet business requirements Write Apex classes, triggers, Visualforce pages, and Lightning Web Components Integrate Salesforce.com with other systems (as needed) Perform data migrations Stay up to date on the latest Salesforce.com features Handle multiple projects simultaneously Work closely with business analysts, project managers, and other developers Adhere to coding standards and best practices Required Skills and Qualifications 5+ years of experience in Salesforce development, configuration, and customization Advanced Apex programming skills, including batch jobs, triggers, web services, and unit testing Experience with Lightning Components, Visualforce, and Force.com integration techno

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and