Senior Analytics Engineer Jobs

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. Senior Consultant Location: Chennai, India | Work Model: In Office Appian Customer Success is obsessed with delivering exceptional customer outcomes and driving mission-critical business impact. Grounded in our core values of Excellence and Intensity, we act as elite technical advisors to our commercial clients. By joining this high-performance team, you will champion a culture of candid communication and excellence while accelerating global adoption of our AI-Powered Process Automation platform. What You’ll Do Implement Scalable Platform Architecture: Build and maintain standards and tools to ensure high performance and resilience with a focus on reusability, schema design, data modeling , query performance, and responsive UX/UI best practices. Engineered Integrations: Perform hands-on design, code implementation, and unit testing using SQL views , stored procedures , and high-concurrency REST/SOAP web services/APIs . System-Level Troubleshooting: Rapidly diagnose performance bottlenecks, memory usage, CPU constraints, and network latency spikes across the web application stack. Performance Profiling & Analysis: Analyze database execution plans, system logs, and Locust load test outputs to isolate and resolve root-cause performance bottlenecks. Technical Quality & Enablement: Ensure continuous integration and delivery alignment by applying strong DevSecOps practices, robust automated testing, and clean coding standards. Required Qualifications Bachelor’s Degree in Computer Science, Engineering, Information Systems, or Mathematics. 8+ years of pro

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Senior Quantitative Trader for our team in Gurgaon. We trade across a multitude of asset classes and trading venues with significant market share and constantly seeking to replicate our successes to newer exchanges and products. As a Senior Quantitative Trader your responsibilities will include Develop and deploy completely automated systematic strategies with short holding periods and high turnover Typical strategies deployed include Alpha-seeking strategies and Market Making Rigorously back-test strategies on in-house research infrastructure Graviton can offer a successful Quantitative Trader Exceptional financial rewards Friendly and collegial working environment Access to advanced trading systems for low-latency execution of strateiges Excitement of being a part of a new expanding trading business Requirements : Deep experience in HF/UHF Trading Live HF Trading experience for at least 2 years. PnL Track record with excellent sharpe ratios. Programming experience in C++ or C Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science 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 4 Weeks of paid vacation Monthly after work parties Catered breakfast and lunch Fully stocked kitchen Gym membership International team outing

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You'll Be Doing: Contribute to the development of open-source inference frameworks such as SGLang and vLLM, including feature and operator development, performance optimization, and model support, in collaboration with the community. Develop and optimize KV cache offloading frameworks for LLM workloads, supporting multi-level cache offloading and reuse across CPU, SSD, and remote storage to improve inference efficiency. (Team project: FlexKV) Drive R&D on compute performance in distributed training, and explore methods and technologies for performance optimization. Study computational challenges in machine learning systems, identify common needs and bottlenecks, and build example code, acceleration libraries, or frameworks accordingly. What We Need to See: Over 5 years working experience in the technology industry, with master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. Strong interest in accelerated computing, parallel computing, and heterogeneous computing, with the motivation to explore these areas in depth. Solid programming skills, with a good understanding of data structures and computer systems fundamentals. Strong learning agil

Join NVIDIA's outstanding team and contribute to our legacy of innovation in the Senior Product Quality role! At NVIDIA, we are dedicated to pushing the boundaries of pioneering technology. The Senior Product Quality Engineer will provide leadership and management for the Networking system product quality within the organization. Establish, maintain, and optimize an effective quality management methods and target to achieve high quality performance. As part of our team, you will work on networking IC products and ensure their readiness for production stage. Leading and mentoring root cause analysis for issues related to design, manufacturing or customers. Enhance and improve products performance by proactive risk assessment and other prevention methods. This is an outstanding opportunity to be part of a company that is crafting the future of AI and computing. What You'll Be Doing Integrated Circuits (IC) quality manager will coordinate and lead the quality function and sustain the quality philosophy for the organization. Establish, maintain and optimize an effective quality management system. Build and implement a quality plan to achieve the levels of quality established through organizational goals, customer expectations, and related partners. Improve products by working towards problem-solving tools, prevention methods, quality-at-the-source and continual improvement techniques. Maintain and improve product build development, verification and validation processes, to allow high quality of interconnects and systems products throughout the entire product life cycle. What We Need to See Bachelor’s degree or master’s degree or equivalent experience in electrical engineering or material science. Other technical degrees will be considered Experience: 5+ years preferred in leadership and manufacturing Knowledge in semiconductor

What You Will Achieve A Senior Scientist (R 4 ) position is available in the Upstream Process Development group within the Bioprocess R&D organization. The successful applicant will join a team of scientists and engineers focused on developing and optimizing manufacturing processes for recombinant proteins and other modalities for early- and late-phase human clinical trials. In this role, the candidate will be responsible for designing and executing laboratory experiments in bench-top bioreactors and associated scale-down equipment with the goal of developing robust, scalable, and high productivity processes. The work will also involve collaborating with pilot, clinical, and commercial production facilities to ensure accurate technology transfer, successful large-scale production and associated regulatory filing activities. The candidate may also be involved in cutting edge technology development projects that seek to improve production processes and control strategies leveraging various process analytical technologies. How You Will Achieve It Design and execute

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=

Senior Product Manager (Integrations) |100% Remote | Eltropy We are seeking a detail-oriented and driven Product Manager – Integrations to join our fast-growing global team. In this role, you will own the strategy and execution of Eltropy’s integrations platform, enabling partners and financial institutions to seamlessly connect with our ecosystem. You will play a critical role in building and scaling our developer platform and partner integration capabilities, enabling integrations with core banking systems, loan origination platforms, account opening solutions, CRMs, eSignature/eNotary providers, and digital banking platforms. This role will also help drive Eltropy’s AI for All vision, powering an ecosystem where partners can build intelligent solutions and AI agents through our growing agentic AI marketplace. This is a remote position based in India , with 10% travel to client sites in the U.S. as needed. What You Offer Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a closely related field. Minimum of 3 years of experience in Product Management, Software Engineering, or a technical product role . Experience working with APIs, integrations, or platform-based products. Proficiency in Agile/Scrum workflows and cross-functional collaboration. Strong analytical and communication skills, with the ability to translate complex technical needs into clear product requirements. Experience owning end-to-end product lifecycles, from ideation and roadmap planning to release and adoption. Technical Skills (Required) Experience using Atlassian’s Confluence and JIRA suite of tools Experience working with REST APIs and integration architectures Experience using Agile development methodologies Experience using data analysis and reporting tools Basic understanding of web technologies (HTML, CSS, JSON, APIs) Key Assets (Highly Valued) Experience working with financial institutions, fintech platforms, or financial servi

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

We’re hiring a Sr. Customer Success Manager to turn new deployments into measurable outcomes for engineering teams using Coder. You guide customers from onboarding through renewal, clearing blockers, and aligning our platform to their goals. You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform Remove barriers to adoption so customers achieve their desired outcomes expediently Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions Oversee renewals and forecasting, ensuring timely, successful commitments Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve Monitor and report on customer health and usage Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC Hands-on experience with Salesforce and other industry-standard CS platforms History of building strong relationships across executive, business, and technical stakeholders Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams Habit of staying current on industry trends, CS best practices, and the competitive landscape Startup experience High EQ with strong verbal communication and technical writing skills Self‑motivated with a creative and analytical approach

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis . As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performance You are excited to work on

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Software Development Engineer is responsible for designing, developing, testing, and maintaining software applications and services under the guidance of senior engineers and technical leads. This role collaborates with cross-functional teams to deliver high-quality, scalable, and secure solutions while continuously building technical expertise and contributing to team objectives. The Software Development Engineer participates in all phases of the software development lifecycle, including requirements analysis, coding, testing, deployment, and production support. Required Qualifications 0–2 years of experience in software development, application development, or a related technical field. Basic knowledge of one or more programming languages such as Java, Python, C#, JavaScript, or similar. Understanding of software development principles, data structures, algorithms, and object-oriented programming concepts. Familiarity with relational databases, APIs, and web technologies. Experience working with source control systems such as Git. Strong analytical, problem-solving, and debugging skills. Effective written and verbal communication skills. Ability to work collaboratively in a team-oriented environment. Preferred Qualifications Internship or academic pr

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 We are seeking an experienced MDM Product Data Analyst to support the management, quality, governance, and transformation of product master data across enterprise systems. The role will work closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, support MDM onboarding and migration, and drive resolution of data issues. The ideal candidate combines strong product data and MDM expertise with advanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and delivery. WHAT YOU'LL DO • Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications. • Leverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis. • Translate business and product requirements into clear data requirements, attribute definitions, validation rules, and analytical specifications. • Perform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates, and data integrity risks across product attributes and relationships. • Define, document, implement, and validate data quality rules covering completeness, accuracy, validity, consistency, uniqueness, and business-rule compliance. • Develop source-to-target analysis and reco

The Applications Development Technology Senior Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Lead the architecture, design, development, and delivery of enterprise UI applications. Strong hands-on experience with Angular and Ext JS for developing scalable and responsive user interfaces. Strong experience with Java and Spring Boot for designing and developing backend services and APIs. Experience deploying, supporting, and troubleshooting applications in ECS/containerized environments . Define application architecture, technical standards, reusable components, and development best practices. Provide technical leadership to development teams, including design reviews, code reviews, performance optimization, and troubleshooting . Strong understanding of CI/CD pipelines , including automated build, testing, deployment, and release processes. Hands-on experience with GitHub , including source-code management, branching strategies, pull requests, code reviews, and integration with CI/CD pipelines. Strong knowledge of open-source technologies and frameworks , with hands-on implementation experience. Ability to evaluate and select appropriate open-source libraries, frameworks, and tools , considering security, licensing, maintainability, vulnerabilities, and enterprise standards. Drive application modernization, technical improvements, and adoption of engineering best practices. Work closely with architects, developers, infrastructure teams, product owners, and business stakeholders to deliver solutions successfully. Prov