Infrastructure Security Engineer in India

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership . In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights. The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders. What you’ll do: Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets. Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team. Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable. Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies. Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset. Define and enforce data quality standards across ingestion, transformation, and analysis workflows. Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team. Translate analytic outputs into business insights, benchmarks, and st

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Hybrid Cloud Engineer Position Overview TEGNA is looking for a Hybrid Cloud Engineer to join the dynamic engineering team. The TEGNA IT Infrastructure team represents a wide range of technologies and competencies. Working in tandem with peers, other teams, departments, business units and outside vendors, the team assists in the evaluation, implementation, and support of technology solutions toward business objectives. The analyst in this position will contribute to the design, implementation, and support of on premise and cloud components to core business applications and will participate in migrations to multiple public cloud platforms. As part of a team, the candidate will build, maintain, support technical systems and applications for business at data centres, cloud, and television stations. This requires comprehensive knowledge of server, storage, cloud, and networking components required to maintain the business. What You’ll Do Design, implement and maintain server and storage components for on-premises and public cloud. Working with technical and non-technical internal customers, provide in-depth consultation and communication for technology solutions. Lead the design, building, testing, documentation and implementation of systems management practices associated with AWS

Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter. Trusted by leading brands across three continents, including Gymshark , Huel and Oh Polly, Fospha manages $4 billion in annual ad spend. We're scaling fast across London, Mumbai, and Austin – and we're now looking for a Senior Software Engineer to join our Team! The Role As a Senior Software Engineer, you'll build the products our customers rely on every day to make multi-million dollar media decisions. You'll work across the full stack - from crafting responsive, intuitive frontend experiences through to designing and scaling the backend microservices that power them - and, given the seniority of this role, you'll also help shape system design and infrastructure decisions as we scale. You'll work alongside engineers, product managers, and AI agents as part of our AI-first operating model, where lean, high-autonomy teams ship fast and learn faster. This is a hands-on engineering role for someone who's comfortable owning a feature end-to-end - from initial design through to production - and who wants to grow their craft in a fast-moving, ambitious environment. Where you'll focus • Frontend development using modern JavaScript frameworks (React.js or Next.js) • Backend development using Python-based microservices • System design and infrastructure, contributing to architectural decisions as we scale • End-to-end feature ownership across the stack • (Nice-to-have) Exposure to Data Science / Data Engineering workflows Key Responsibilities • Design, build, and maintain full stack features - from frontend UI/UX through to backend services and APIs in Python. • Contribute to system design and infrastructure decisions, helping evolve our

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

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: As a Staff Quality Engineer on the Content Portfolio team, you will own and drive test strategy, build automation frameworks, and embed a culture of quality ownership across the engineering organization. Your deep expertise in automation, cloud services, Kubernetes, and modern programming languages will directly shape how we test, release, and deliver reliable software at scale. You will partner closely with developers, product managers, and platform teams to define test requirements, architect quality infrastructure, and ensure AlphaSense ships with confidence at velocity. You will: Lead the development of test automation frameworks across UI, API, and GraphQL layers, focusing on reliability, maintainability, and speed Design and integrate AI evaluation frameworks to assess accuracy, consistency, and reliability of LLM-powered features L

As a Strategic Account Executive, the primary responsibility is to target and close enterprise strategic new logos across India. In this role you’ll be focused on uncovering the pain points organisations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. What You’ll Do: Prospect into large Fortune 500 companies in India while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favourable pricing and business terms with large commercial enterprises by selling value and ROI Manage both customer & prospect expectations while expanding & hunting reach and depth into assigned territory, respectively Demonstrate resourcefulness when faced with challenges that defy easy solutions Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy (minimum 90%) and consistency Who You Are: Someone with 5+ years closing experience; mix of field selling within enterprise (as defined by Datadog, which is companies with more than 5000 employees) Driven and must have exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and self-generate pipeline Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune India 500 companies with proven ability to win new logos Comfortable and confident and working with cross functional, overseas teams Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs. Datadog values people from all walks of life. We unders

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a highly technical Sr. Manager to lead our India-based Service Desk and IT Automation operations. This is a working-manager role: you'll personally execute technical work — scripting, automation builds, escalated ticket resolution — while also leading a team. If you're looking for a purely strategic or delegation-only leadership role, this isn't it. You'll manage a team spanning Service Desk, Tier 1 SOC support, and IT Automation Engineering, driving the technical maturity of our global support infrastructure through automation, scripting, deep systems integration, and increasingly, AI-augmented workflows. This role reports to the Director of End User Systems, with close, day-to-day partnership across US-based Desktop Support managers. For the right candidate, this role has a clear path to Director as we continue scaling our India GCC — with growth into that level anticipated within 12–18 months. This is also a strong fit for a Director-level leader currently at a SaaS startup who's looking to move into a larger, enterprise SaaS organization — and who is open to a step down in title now in exchange for a step up in scale, platform, and long-term trajectory. You Will IT Automation & Architecture Drive the IT automation function, identifying repetitive Tier 1 tasks and owning their automation end-to-end — from scoping through build, testing, and measurement Evaluate and build AI-augmented automation where it meaningfully reduces toil (e.g. intelligent ticket triage, SOC alert summarisation, AI

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity The Client Platform team is seeking a Senior Frontend Engineer to help us raise the quality bar across our frontend ecosystem. You'll establish engineering excellence through improved architecture, performance optimization, and maintainable code patterns that ensure our platform delivers exceptional experiences to both internal engineering teams and our 35+ million customers. This role is a unique opportunity to have immediate impact on the foundation that hundreds of Postman engineers rely on daily. What You'll Do The Client Platform team is a global engineering organization responsible for creating a "paved path" for all Postmanauts to develop and release web-based applications. Our platform is the foundation that hundreds of engineers at Postman rely on daily to deliver new features and improvements to over 30 million customers. We manage everything from build tooling and shared libraries to development infrastructure, best practices and our cross-platform desktop application. Specifically you will: Design and develop modular, well-documented SDKs and component libraries that serve both internal engineering teams

About Paytm: 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: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech

Location Details: India, Remote 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... GEDE (Global Edge and Domains Engineering) keeps GoDaddy's domains, edge, and aftermarket platforms running for millions of customers. Within GEDE, the Reliability Engineering team (Domains Production Engineering) is the group that gets the call when something breaks — and, more importantly, builds the systems that mean it breaks less often. We own the monitoring, compliance, and patching toolchain for the whole Domains infrastructure footprint, provide advanced incident support, and are actively modernizing how the org detects, diagnoses, and even auto-remediates issues with AI-assisted tooling! What you'll get to do... Build and evolve observability using Prometheus/Mimir, the Grafana LGTM stack, Elastic/OTEL, and Site24x7 — closing gaps across the org. Steer our cloud migration journey and bolster our efforts to keep the services reliable and performant. Own patching compliance and vulnerability remediation at scale across a mixed on-prem + AWS fleet, hitting hard SLA targets. Operate and extend our multi-tenant Kubernetes/ArgoCD platform, including the migration of core services. Contribute to our AI/automation initiatives: auto-generating runbooks from Prometheus alerts, ServiceNow change-risk scoring, and other tooling that reduces toil for the whole team Consult with partner dev teams on metrics, alert thresholds, and monitoring standards — this is a platform-enablement role, not just a ticket queue. Mentor other engineers on the team and help mature our operational practices. Your experience should include

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Product Operations Specialist 3 About the job Twilio is seeking an Product Operations Specialist 3 to join the team that runs Twilio’s phone number operations globally. This role will work directly with customers to help them port their phone numbers into Twilio, procure short codes and Sender IDs, and have access to phone numbers they require for their applications. The Senior Product Operations Specialist is the third tier on the Level 1 team. The Product Operations team is a key part of Twilio’s Super Network, whose mission is to provide the infrastructure that catalogs, orchestrates, and delivers the world's connectivity. Responsibilities In this role, you’ll: Provide support for common customer inquiries received by email to ensure customers have an excellent experience with Twilio. Assess the nature of product or service issues and resolve basic-to-intermediate level problems. Log customer interactions and tag/cate

We are seeking a Front-End Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices. What You'll Be Doing: Own and maintain Continuous Integration pipelines. Monitor, complete, and fix daily and nightly CI flows in front-end build areas. These include Lint, Synthesis, Equivalence Checking and Simulation. Automate EDA Flows: Build, develop, and maintain robust automation scripts using Python, Tcl scripting, and Shell to integrate EDA tools (Synopsys, Cadence) into automated build pipelines. Manage Perforce Integration: Maintain multi-IP branch/stream strategies, manage workspace specs, complete hardware build drops, and handle release labels/tags in Perforce (Helix Core). Support Engineering Teams: Act as the primary point of contact for RTL and verification engineers to debug flow crashes, bottlenecks, environment setups, and CI failure reports. Enforce Quality Gates: Implement automated check-in and change list triggers to run sanity checks, linting, and style enforcement before code is committed to main streams. Optimize Infrastructure: Monitor compute farm resources (LSF) and storage usage to reduce pipeline runtime and improve overall execution efficiency. What We Need to See: Experience: 2+ years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation. Education: Bachelor’s degree or Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Perforce Expertise: Strong hands-on experience managing Perforce (P4 / Helix Core) streams, workspace specs, c

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success. About the Department: The FTT – Operations group develops and supports products that power the daily operations of the Middle and Back Office. The team collaborates closely across functions to deliver reliable, scalable solutions that drive business efficiency. Joining this group means working in a dynamic, technically driven environment where innovation and teamwork are valued, and your contributions directly impact operational success. How You Will Add Value? Core Responsibilities: You will design and build software solutions with product owners to meet business needs. You will manage product backlogs and prioritize development tasks. You will participate in sprint and release planning activities. You will develop, test, and maintain high-quality code. You will conduct code reviews and ensure adherence to standards. You will support deployments and optimize performance. You will build full-stack applications across services, APIs, and infrastructure. You will collaborate with analysts

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