Engineering Specialist in India

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As a Field Engineer, Team Lead you will serve as a player-coach — guiding a team of field engineers while personally executing the most complex, mission-critical technical work yourself. Operating at the intersection of engineering and client success, you are both the technical anchor for your team and Addepar's technical vanguard in the field, translating complex business requirements into production-grade integrations, automations, and data solutions. You will be the technical expert across Addepar's full solution suite — from API integrations and automation frameworks to advanced data platforms (including our white-labeled Databricks offering, ADX) and AI-driven tooling. At the same time, you will develop your people-management skills: providing daily guidance, coordinating work allocation, and turning the vision set by leadership into reality while keeping your team aligned to our core processes. This role combines a forward-deployed delivery model with hands-on technical depth and functional leadership of a high-performing engineering team. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. Important Note: Th

SDLC Engineer 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 expert technical support for our enterprise Software Development Life Cycle (SDLC) platforms including Jenkins, GitHub, Bitbucket, and AWS-based CI/CD pipelines Support and optimize our artifact management solutions (Artifactory) and static code analysis tools (SonarQube) Partner directly with business teams and development clients to address SDLC platform challenges and deliver effective solutions Implement and maintain security controls across our development toolchain and infrastructure Develop automation solutions to eliminate toil and enhance developer productivity Troubleshoot complex build, deployment, and integration issues across our development environments Contribute to continuous improvement of our AWS-based development infrastructure Maintain documentation and knowledge base for supported platforms and tools What’s required 5+ years of experience in software engineering, DevOps, or SRE roles Strong technical expertise in AWS services and cloud-native architectures Experience with container technologies (Docker, ECS, EKS) and container orchestration Deep understanding of Git workflows, branching strategies, and version control best practices Strong hands-on programming/scripting skills (Python, Go, or similar), with ability to debug and build automation for CI/CD pipelines Experience with infrastructure as code (Terraform, CloudFormation) in AWS environments Hands-on experience with CICD solutio

JOB TITLE Software Engineer, Controller’s Technology 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 As a software engineer on the Controller’s Technology team, you will use your programming expertise to design, develop, and support ETL, data warehouse, process flow, PnL validation and adjustment tools, and PnL reporting framework to modernize the PnL reporting platform and streamline the business process. Build analytical tools on a next generation technology platform to facilitate understanding of performance for Firm management and portfolio managers as well the reporting requirements of our Finance, Operations, Audit, and Technology functions. Develop quantitative understanding of PnL process and data flow to anticipate new requirements Innovate and improve our capabilities to deliver high quality products to our business partners Solving complex and challenging problems through the application of creative and unique solutions using the latest technology WHAT’S REQUIRED Strong data engineering, analytics, ETL and reconciliation skills using T-SQL, Python, Airflow etc. Bachelor’s in computer science, or related technical field with 5 years of programming experience End-to-end system design, development, support, and user coordination experience Strong development skills using Python, or C#. Strong data visualization skills using JS/React etc. A plus to have prior experience in financial industry working with Risk, valuation

Job Title Identity Remediation and Onboarding Analyst A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team 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 Execute identity remediation initiatives across critical systems, eliminating orphaned accounts, stale access, excessive privileges, and unmanaged service accounts. Perform hands-on cleanup and risk reduction across accounts, entitlements, and privileged access in alignment with firm standards. Drive service security improvements, including remediation of clear-text passwords, credential vaulting and rotation, ownership validation, and enforcement of lifecycle controls. Support onboarding of applications and privileged accounts into the firm’s Identity Governance & Administration (IGA) solution, and Privileged Access Management platforms in alignment to firm’s access control requirements. Reduce administrative access across critical platforms by identifying excessive privileged access and implementing least-privileged controls. Strengthen group and entitlement governance by simplifying complex group structures and aligning them to standardized access models. Partner with application, infrastructure, and engineering teams to implement access changes and close control gaps. Track remediation efforts through completion, maintaining audit-ready documentation and measurable evidence of risk reduction. Monitor shared mailboxes and ticketing queues related to remediation and onboarding activities, ensuring timely response, prioritization, and es

JOB TITLE Data Reliability Engineer A CAREER WITH CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Ensure smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe Serve as a frontline owner for mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with investment professionals, data scientists, and external data vendors. Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. What’s REQUIRED Bachelor’s degree in computer science or a related field. Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments. Exceptional attention to detail with a strong appreciation for well-defined processes and systems. 3+ years of experience in a client-facing support or operations role. Excellent organizational, communication, and interpersonal skills. Commitment to the highest ethical standards About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Poin

About Eudia Eudia is a high-growth AI startup on a mission to transform legal work through Augmented Intelligence—pairing advanced AI with human expertise to supercharge legal teams. Our platform helps Fortune 500 corporate legal departments move faster, manage risk, and transform the legal function from a cost center into a strategic advantage. Eudia is trusted by some of the world’s most demanding organizations, including Cargill, ServiceNow, DHL, Bayer, Duracell, Dolby, Indeed, OpenAI, the U.S. Air Force, Best Buy, Asana, Dropbox, LinkedIn, Citi, Etsy, Novelis, Pure Storage, Del Monte, Cox, PetSmart, Udemy, and many more across regulated and high-stakes industries. Backed by General Catalyst (Hemant Taneja, Marc Bhargava), Floodgate (Mike Maples), Sierra Ventures (Tim Guleri), and leading individual investors including Gokul Rajaram and Prof. Chris Ré (Stanford), Eudia is building deeply technical AI platforms for risk-sensitive environments where accuracy, security, and trust are non-negotiable. We believe the future of legal work lies in AI augmenting human expertise, not replacing it, and we are assembling a world-class team to make that future a reality. About the Role We are looking for a Product Manager to own the end-to-end user experience of Eudia’s core application. This role defines how corporate legal teams interact with AI across workflows such as contract review, diligence, compliance analysis, and advisory research. You will translate powerful AI capabilities into intuitive, trustworthy, and scalable application experiences that align with how legal professionals work. This is a senior role with full ownership of application-layer strategy, workflow design, and enterprise adoption, working closely with AI, platform, design, engineering, and customer teams. What You’ll Own End-to-end product strate

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Industry Context: AI-driven supply chain innovations reduce logistics costs by 15%+, inventory by 35%+, and improve service efficiency by 65%+. Companies prioritize AI-enabled automation as the key enabler for customer experience, sustainability, and resilience. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . FourKites is building a next-generation Inventory & Orders module that gives supply chain teams unified, real-time visibility into on-hand stock, in-transit inventory, open orders, and stockout risk — across their entire network. We are looking for a Product Manager I to own day-to-day execution for this module: writing precise specifications, synthesizing customer discovery into prioritized backlogs, and partnering with engineering to ship features that help supply chain planners move from reactive firefighting to proactive decision-making. This is a high-visibility role on a nascent product. You will work at the intersection of supply chain planning, procurement, and real-time logistics data — with your contributions directly shaping the foundational decisions of this offering. What you'll be doing Product Execution & Specification Author detailed user stories, acceptance criteria, and feature specifications for capabilities such as safety stock threshold configuration, order-at-risk dashboards, and AI-assisted stock transfer recommendations. Translate ambiguous customer requirements into structured, engineering-ready backlog items with clear scope boundaries. Own sprint-level backlog grooming in collaboration with the engineering manager, ensuring tickets are well-defined and prioritized before each cycle. C

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . Are you looking to be an AI & SAAS Support Intern on a growing team? If so, this may be the role for you! You will be the face of FourKites to our customers—their main point of contact for everything they need. From helping customers track urgent shipments to providing assistance to carriers hauling the loads, you will be the product expert and go-to person to help users when they reach out. This internship is designed for hands-on, experiential learning —you'll get real exposure to how a growing SaaS platform operates, paired with the chance to work on special AI projects alongside our product and engineering teams. What you'll be doing: First point of contact for FourKites customers, partners & consultants to research, troubleshoot, replicate, and test product problems and bugs Track issue progress and provide regular updates to clients until incidents are resolved Interface with Development, QA, and Consulting Services as needed to resolve customer issues Contribute to special AI-driven initiatives , applying a curious, experimental mindset to explore how AI can improve support workflows and customer outcomes Be part of weekend rotation for 24/7 customer emergencies About the team: Our product and engineering teams are dedicated to providing the industry's best-in-class end-to-end supply chain visibility platform. We are committed to building a high-performing team with software craftsman-thinking who are dedicated to developing and enhancing our core platform, and we want you to be a central part of it! We help companies transform their end-to-end supply chain with real-

About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: Vercel is scaling fast, and we are building the financial infrastructure, controls, and operating discipline needed to support our continued growth and path to the public markets. We are looking for a SOX Manager based in India to serve as the India execution leader for Vercel’s SOX program, working in close partnership with our US-based SOX leader and the broader Finance organization. In this role, you will own key SOX execution workstreams across business process and IT controls, including walkthroughs, risk assessment, control design, testing, issue management, documentation, and audit coordination. You will partner closely with Finance, Accounting, IT, Security, Business Systems, Engineering, and external auditors to build a scalable, audit-ready control environment. You will bring strong judgment, hands-on audit experience, and a builder’s mindset to a function that is evolving quickly, helping shape how Vercel approaches controls in an AI-native, high-growth technology environment. This role will be Hybrid in the Delhi area three days a week on site. What You Will Do: Own key execution workstreams across business process, entity-level, and IT controls, implem

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Software Engineer - Systems Integration We are seeking a highly motivated Integration Engineer to design, develop, test, and maintain scalable integrations between critical enterprise systems like Oracle ERP, Salesforce, Snowflake, Agile PLM, etc. The ideal candidate will have 5+ years of hands-on experience with systems and data integration across a variety of platforms and protocols. Responsibilities: Design, implement, and maintain robust, scalable integration workflows between critical enterprise systems supporting Finance, Sales, Marketing, HR, Engineering, IT, etc Partner with Business and IT stakeholders to implement integration capabilities, data transformations and enrichment, error handling, re-startability, and system monitoring Monitor integration jobs for performance and errors; perform troubleshooting and issue resolution Continuously monitor and address optimization opportunities toward simplification and efficacy Assist with security and compliance requirements related to data handling, including secure file transfers and encryption practices Implement and support

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Overview SonicWall is seeking a Distinguished Engineer to define and drive the long-term technical vision, architecture, and evolution of its Secure Private Access (SPA) platform and Zero Trust access technologies. This role serves as the highest level of individual contributor leadership, influencing architecture, engineering strategy, and innovation across multiple product and engineering organizations. The role builds upon SonicWall's current cloud-native SSE, ZTNA, and secure access initiatives. Key Responsibilities Define and drive the long-term technical vision and architecture strategy for SonicWall's Secure Private Access (SPA) platform and Zero Trust access technologies. Lead the design and evolution of highly scalable, secure, resilient, cloud-native distributed systems. Influence technical direction, architectural decisions, and engineering standards across multiple product and engineering organizations. Provide technical leadership during critical production incidents, customer escalations, and security events, driving root cause analysis and long-term architectural improvements. Serve as

Research Engineer, Applied AI Location: Bangalore (or throughout India remote-friendly with travel) About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity,

Location: Mumbai, India (Andheri East) Description: We’re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The role We’re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You’ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we’d love to hear from you. Behaviours that we look for Solve problems rigorously , not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early , automating meaningful tests and implementing relevant metri

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. About IRL (Instawork Robotics Labs) 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 . What you’ll do Lead Workforce & Operations: Drive day-to-day workforce management for Clippers, Graders, Regraders, SMEs, and ICs across shifts/sites, optimizing staffing, capacity planning, and throughput against SLA targets. Implement Quality Systems & Methods: Maintain the QMS and apply structured methods (RCA, CAPA, FMEA, 8D, SPC) to address recurring defects, calibration drift, gold-sample injections, and consensus checks. Own SOPs & Process Standards: Build, version-control, and continuously iterate SOPs for existing and new program launches, ensuring floor adoption and structured QA onboarding/re-calibration paths. Bridge Cross-Functional Teams: Translate engineering data requirements into floor-executable QA criteria, report field issues back with evidence, and represent QA in program launches and crisis calls. Drive Data-Led Quality: Monitor and analyze key QA metrics—defect/reject rates, inter-grader agreement (ka