Structural Analysis Engineer in India

As an FEA Analyst (ANSYS) will be responsible for performing finite element analysis and simulations to assess the structural integrity and fatigue life calculation various wind turbine components products. The role involves collaboration with cross-functional teams to enhance designs using advanced simulation tools. Source: Adani Group | Job ID: 50348

We are seeking an experienced Senior Structural Engineer to lead the civil and structural design of RCC and structural steel projects across industrial and township developments. The role requires strong expertise in analysis, design review, tender engineering, multidisciplinary coordination, and site support, with a focus on safety, quality, compliance, and cost optimization Source: Adani Group | Job ID: 51874

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role We are looking for a Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis and reporting. ● E

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team- Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role- We are looking for a Senior Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis

Role: Network Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Key Responsibilities Design, deploy, operate, and troubleshoot low-latency network infrastructure used by trading firms. Manage connectivity to global stock exchanges, brokers, market-data providers, and ISPs. Build and maintain colocation infrastructure including routers, switches, Layer-1 devices (added advantage), structured cabling and cross connects. Configure and support Cisco Nexus, Arista and similar platform devices. Design and troubleshoot Layer 2 and Layer 3 networks including: VLANs, VRFs, BGP, OSPF, Static routing, PIM, IGMP, Multicast, SSM, ACLs and QoS. Troubleshoot packet loss, multicast issues, duplicate packets, IGMP/PIM and multicast/BGP routing. Monitor and optimize latency, jitter, packet loss, interface errors, congestion, and network performance. Work with ultra-low-latency technologies including: Cut-through switching, Layer-1 switches, FPGA-based network devices, Kernel-bypass networking, ExaNIC/Solarflare NICs, Hardware timestamping. Configure and troubleshoot PTP and clock synchronization infrastructure. Perform server and network equipment installation in exchange and third-party data centres. Manage rack layout, patching, cable optimization, optics, DACs, cross-connects, and inventory. Coordinate network changes with exchanges, telecom providers, brokers, vendors, and data-centre teams. Plan and execute production changes during approved maintenance windows. Perform pre-change validation, c

Job Overview: We are seeking a high-caliber Rust Systems Engineer to design, build, and optimize high-throughput, low-latency backend systems and infrastructure. In this role, you will go beyond web APIs—tackling low-level performance bottlenecks, complex state management, parallel compute algorithms, and concurrent data processing pipelines. If you thrive on deterministic memory management, zero-cost abstractions, and writing safe, blazingly fast concurrent systems, this role is for you. Key Responsibilities: High-Performance Architecture: Design and implement zero-cost, high-throughput, low-latency engine components and data processing pipelines in Rust. Concurrent & Thread-Safe Systems: Build thread-safe, lock-free, or fine-grained locked data structures and state machines capable of scaling across multi-core architectures without race conditions. Priority & Real-Time Threading: Design custom thread pools, task schedulers, and execution queues with priority-based task scheduling and resource allocation controls. Algorithmic Optimization: Implement complex computational logic, including high-efficiency recursive algorithms, tail-call optimizations, and dynamic cache-friendly data structures. Resource & Memory Management: Leverage Rust’s ownership model, lifetime annotations, custom allocators, and non-blocking I/O to achieve predictable low-latency profiling (minimizing allocations and cash misses). System Profiling & Benchmarking: Conduct continuous benchmarking (criterion), flame graph analysis, memory profiling (Val grind/heap track), and CPU SIMD/vectorization optimizations. Key Skills: Core Rust & Functional Programming: Advanced Rust Mastery: Deep experience with Rust internals (stdsync, stdcell, custom Drop, unsafe Rust boundaries, and macro systems). Closures & Higher-Order Functions: Mastery of Rust’s functional traits (Fn, FnMut, FnOnce), capturing environments, move semantics within closures, and passing unboxed closures for zero

About the Role We are looking for a skilled and detail-oriented Python Developer to join our team. In this role, you will focus on writing efficient scripts, analyzing complex data, and delivering actionable insights through clear and accurate visualizations. The ideal candidate will be a fast learner with a strong foundation in software development principles and a passion for solving challenging problems. Key Responsibilities Design and develop efficient Python scripts for data analysis and automation. Build accurate and insightful data visualizations to support decision-making. Implement and maintain alerting tools to monitor data workflows and systems. Collaborate with cross-functional teams to gather requirements and deliver solutions. Apply strong knowledge of data structures, algorithms, and OOP concepts to write performant, maintainable code. Continuously optimize and improve data processing pipelines for scalability and performance. Key Requirements Experience: 2–5 years as a Software Engineer or Python Developer. Strong proficiency in Python with the ability to quickly learn new frameworks and libraries. Hands-on experience with SQL for querying and data manipulation. Experience with data visualization/plotting tools (e.g., Matplotlib, Seaborn, Plotly). Familiarity with alerting and monitoring tools . Solid understanding of data structures, algorithms, and OOP concepts . Excellent problem-solving skills, analytical thinking, and attention to detail. Benefits: Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation 6 weeks of paid vacation Monthly after work parties Catered breakfast and lunch Fully stocked kitchen International team outing

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

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

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Be part of a trading systems engineering team, dedicated to building out the core trading platforms. Work closely with cross functional teams to improve the system reliability, scalability and security. Engage in and improve the quality supporting the platform. Build and manage systems, infrastructure and applications through automation. Provide operational support to internal teams working on the platform. Work on improvements to bring in high efficiency, reduce latency, deploy systems faster. Practice sustainable incident response and blameless postmortems. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents. Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity. Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity. Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems). Proactive approach to problem analysis and resolution of production incidents. Manage Issue tracking and prioritisation of day to day production incidents. Manage platf

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

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 As an Escalation Engineer on our FlashBlade team, you will serve as the premier technical authority driving customer trust and operational stability across complex, enterprise-scale storage environments . You will collaborate closely with front-line Support, Engineering, and product leaders to rapidly resolve high-impact technical challenges and transform complex system failures into long-term product reliability. By bridging real-world customer insights with engineering solutions, you will elevate team performance and ensure our enterprise customers achieve flawless platform availability. WHAT YOU'LL DO Drive High-Stakes Escalation Resolution: Take end-to-end ownership of critical, multi-platform system issues—evaluating hardware, software, networking, and environmental factors—to rapidly restore service, perform root-cause analysis, and protect customer business continuity. Elevate Engineering Talent & Knowledge: Mentor and coach support team members through joint case triage, structured technical trainings, and internal documentation, accelerating technical capabilities and resolution velocity across the organization. Bridge Product Engineering & Customer Insights: Partner directly with Product Engineering to relay real-world system behavior, ensuring critical customer feedback, feature enhancements, and bug fixes trickle back into core product design. Lead Strategic Customer Communications: Facilitate

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 As an Escalation Engineer on our FlashBlade team, you will serve as the premier technical authority driving customer trust and operational stability across complex, enterprise-scale storage environments . You will collaborate closely with front-line Support, Engineering, and product leaders to rapidly resolve high-impact technical challenges and transform complex system failures into long-term product reliability. By bridging real-world customer insights with engineering solutions, you will elevate team performance and ensure our enterprise customers achieve flawless platform availability. WHAT YOU'LL DO Drive High-Stakes Escalation Resolution: Take end-to-end ownership of critical, multi-platform system issues—evaluating hardware, software, networking, and environmental factors—to rapidly restore service, perform root-cause analysis, and protect customer business continuity. Elevate Engineering Talent & Knowledge: Mentor and coach support team members through joint case triage, structured technical trainings, and internal documentation, accelerating technical capabilities and resolution velocity across the organization. Bridge Product Engineering & Customer Insights: Partner directly with Product Engineering to relay real-world system behavior, ensuring critical customer feedback, feature enhancements, and bug fixes trickle back into core product design. Lead Strategic Customer Communications: Facilitate

MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications. What You’ll Do Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows. Solve downstream business use cases including quantity takeoff, code complianc

Opportunity Overview: As a member of the Solutions Configuration Management team you will be contributing to the analysis, documentation, implementation and maintenance of the configurations needed to enable Cohere Health solutions to meet the needs of our customers. You’ll work closely with members of the Product, Engineering, Implementation, and Testing teams to scope, document, implement and deliver configuration items (CIs) needed to meet the requirements as part of the implementation and maintenance of our solutions. What you’ll do: Own the execution of configuration deliverables for assigned projects, including client implementations and launches Analyze requirements and translate them into scalable configuration solutions Create and maintain clear documentation, including configuration specifications and standard operating procedures Collaborate with Product, Engineering, Implementation, and Testing teams to ensure configurations meet client and system requirements Validate and troubleshoot configurations in partnership with QA and testing teams Manage configuration items (CIs) throughout their lifecycle, ensuring timely and accurate delivery Required Qualifications: Must-haves 2+ years of professional experience in a Configuration role Hands-on experience working with structured data formats (JSON, XML) Familiarity with APIs Experience troubleshooting configuration issues in production or pre-production environments Experience working with ticketing systems (Jira, ServiceNow, etc.) Strong written and verbal communication skills in English, with the ability to clearly document technical configurations and decisions Experience with project management Experience with data exchange/transformation and/or integration/interoperability analysis and implementation Proven experience in Excel, including advanced functions and data analysis Knowledge of version control systems Knowledge of configuration management tools Self-starter, able to work independently, able to