Remote Distinguished Machine Learning Engineer Safety in Gurugram

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team... The Securities Analytics and Products Group is responsible for developing and maintaining sophisticated software solutions to safeguard GoDaddy's ecosystem. We are seeking a dedicated Senior Software Engineer with a strong background in software development and a keen focus on security. The ideal candidate will have proven hands-on experience in software development, with a consistent track record of working with the latest software technologies while prioritising security best practices. As a key member of our engineering team, you will play a crucial role in designing, developing, and implementing secure software solutions to protect our organisation from cyber threats. You will get to work with some of the brightest minds to build secure, highly available, fault-tolerant, and globally performant microservices-based platform deployed on the AWS cloud, using the newest technology stack. While the role is primarily backend-focused, you'll also get opportunities to contribute to frontend features as needed, giving you exposure across the full stack. What you'll get to do... Design, develop, and maintain secure, highly available, fault-tolerant, and globally performant code deployed on AWS cloud. Ensure code quality through extensive unit and integration testing Own frontend features and UI components across projects on an as-required cadence, from design through delivery Investigate and resolve production issues, ensuring your team's DevOps on-call responsibilities Contribute to the technical documentation, code reviews,

Location This is a hybrid role based out of our Gurugram office; 3 days in the office, 2 days remote. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role We are seeking a proactive and detail-oriented HR Ops Manager to drive operational excellence and manage core employee lifecycle processes in our India office. In this role, you will be responsible for end-to-end Onboarding and Off-boarding, leading the Internal Committee for PoSH compliance, ensuring Indian statutory compliance, and supporting HRBP activities. Responsibilities 1. Onboarding & Offboarding Lifecycle Onboarding: Own the entire new-hire experience from offer acceptance to day 30/60/90 integration - ensuring document verification, background checks (BGV), system access, and orientation. Offboarding: Manage seamless exit processes, including resignation handling, exit interviews, asset clearance coordination, full & final (F&F) settlement coordination, and exit analytics. Continuously refine onboarding and offboarding workflows to improve candidate experience and operational efficiency. 2. PoSH Committee Management & Employee Relations Serve as the primary lead/Presiding Officer/member for the Prevention of Sexual Harassment (PoSH) Internal Committee (IC) . Ensure 100% compliance with the Indian PoSH Act, including organizing mandatory awareness sessions, annual filing, and managing IC meetings. Handle s

Location - Hybrid This is a hybrid role based out of our Gurugram, India office, 3 days in the office, 2 days remote. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs About the Team We’re a small advanced tech team that takes ideas from “someone had a hunch” to “customers are using it”—usually in days, not sprints. This is a high ownership team: talking to whoever has the problem, deciding what’s worth building, cutting scope, shipping, and then deciding whether to double down or move on. Required Skills Deep fluency in at least one modern general-purpose language—and the ability to pick up others quickly. We work across TypeScript/Node, Go, and Python, and you’ll touch more than one. We care far more that you know one language inside out—its type system, concurrency model, testing story, etc.—than that you’ve used our specific stack. An ideal candidate would be comfortable: Reading and modifying an unfamiliar codebase without a guided tour Writing and maintaining tests that hold up in CI, not just on your laptop Publishing and versioning something other people depend on — a CLI, an SDK, a package Debugging across a boundary you don’t own (a third-party API, someone else’s service, a CI runner) Please note our Privacy Policy for Applicants when applying for a job at Sauce Labs. Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Tax Overview: This role is responsible for supporting global employment tax compliance, advisory, risk management, and project execution activities. The role serves as a key technical resource and works closely with regional stakeholders and external advisors to ensure operational excellence and compliance across global employment tax processes. Role: • Support internal stakeholders on federal, state, and local employment tax compliance activities, such as reviewing tax notices, statutory tax filings, and reconciliations • Assist in research to support tax positions, resolve multi-state withholding issues, reciprocity agreements, nonresident allocation questions, and cross-border tax implications • Assist in taxation and reporting of equity compensation and incentive plans (RSUs, stock options, ESPP, ISIP-type plans) across jurisdictions, including year-end true-ups, and recharge arrangement considerations. • Provide tax guidance to cross-functional partners on the employment tax implications of compensation, benefits, travel & expense programs, and remote/flexible work arrangements globally. • Collaborate with stakeholders to develop processes and procedures to ensure accurate tax reporting and withholdings on employee compensation and benefits including long-term incentives and bonus

Role: VPN 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. Responsibilities Manage and support corporate network infrastructure across multiple locations, including routers, firewalls, switches, wireless access points, VPN gateways, Internet links, and LAN/WAN connectivity. Configure and troubleshoot VPN technologies such as IPsec, SSL VPN, site-to-site VPN, remote-access VPN, WireGuard, OpenVPN, and FortiClient/FortiGate VPN, including issues related to authentication, tunnels, routing, DNS, packet loss, performance, split tunnelling, and firewall policies. Manage secure connectivity between offices, data centres, cloud environments, and remote users. Configure and maintain office LAN infrastructure, including VLANs, trunk/access ports, inter-VLAN routing, DHCP, DNS, NAT, ACLs, static routing, BGP, and OSPF where required. Manage multiple ISP connections, including primary and backup Internet links, automatic failover, and monitoring of utilization, latency, jitter, packet loss, and link availability. Coordinate with ISPs and telecom providers for new circuits, link failures, bandwidth upgrades, routing issues, packet-loss investigations, and service escalations. Manage firewall policies, NAT rules, VPN policies, network objects, and routing, while regularly reviewing and removing unnecessary access. Implement network segmentation across user, server, management, guest, and other business networks, while maintaining secure administrative access to network equip

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E