Development Engineer 2 in Noida

Title: Staff Site Reliability Engineer, Product Area Focus Location: Noida/ Bangalore (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering team. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedite

Title: Senior Site Reliability Engineer - I, Product Area Focus Location: Noida (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedit

Staff Software Engineer - Testing & Automation Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Staff Engineer within the Verification Platform team at Sumo Logic, you will drive the implementation and optimization for our verification platform as well as the modernization of our CI/CD pipelines. Your mission is to develop and sustain automated tooling for all testing, verification, and functional requirements, leveraging AI reasoning and machine learning models to predict and prevent delivery issues, while integrating advanced security validation and non-functional requirements into our delivery lifecycle. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services, and progressing Sumo Logic’s internal Platform-as-a-Service. This role sits at the intersection of Platform Engineering, Quality Engineering, DevSecOps, and Developer Productivity, helping teams deliver secure, reliable, and independently deployable services at scale. Responsibilities Strategy & Leadership: Drive technical direction and design for a modern Quality Engineering platform, driving the adoption of AI reasoning for enhanced automation of all testing, verification, and functional requirements. Pipeline Modernization: Lead the modernization of CI/CD pipelines to include automated security validation, compliance checks, and other critical non-functional requirements, with a focus on integrating AI/ML for intelligent pipeline optimization and risk prediction. Framework Ownership: Own the delivery pipeline and release automation framework for all Sumo services, ensuring improvements in developer productivity, deployment frequency, and release reliability. Cross-Team Collaboration: Educate and collaborate with teams during design and development phases to ensur

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

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

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: As Senior Product Manager for Case Management, you will own the product area that moves insurance cases through their lifecycle — from new-business intake and requirements orchestration through underwriting, issuance, and placement. You will lead the product life cycle for this domain, partner closely with Engineering, and work across Zinnia’s Product Organization to keep the case-management experience aligned with company strategy while delivering measurable value to carriers, distributors, and policyholders. WHAT YOU’LL DO: Own the product roadmap and lifecycle for Zinnia’s case-management capabilities across the new-business and underwriting workflow - intake, requirements gathering, status tracking, and case placement - spanning distributor and carrier touchpoints on our platforms. Lead technical discussions with Engineering teams and manage technical and business requirements end to end. Partner with cross-functional teams to ensure product requirements are met, evaluate product performance, and transition features from development to commercialization. Define delivery and deployment timelines for new product, feature, maintenance, and corrective/service-pack releases. Ensure the technology and architectural roadmap aligns with and supports the product and business roadmap. Act as a customer liaison on technical matters related to product integration, custom development, and requ

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. Job Purpose The Corporate Development team drives the company's long-term growth and strategic evolution. As a Senior Corporate Development team member, you will own the end-to-end inorganic growth roadmap — from scouting and originating deals through evaluation, execution, and handoff to integration. You will bring deep, hands-on experience from the venture capital ecosystem and act as a primary connector between external market opportunities and internal executive leadership. Key Responsibilities 1. Strategy & Market Intelligence • Partner with senior executives to define and refine the company's inorganic growth roadmap • Run continuous macroeconomic and industry research to surface emerging trends, market disruptions, and high-fit targets • Track market developments, precedent transactions, and comparable companies • Own and maintain a proactive pipeline of acquisition, investment, and partnership targets 2. Deal Scouting & Sourcing • Actively scout and originate deals across the VC ecosystem — founders, venture funds, growth investors, and strategic networks • Build and deepen relationships with VCs, investment bankers, PE firms, and target company leadership • Screen inbound and outbound opportunities against corporate strategic criteria with clear go/no-go judgment • Develop sharp strategic rationale and business cases for C-suite and Board review 3. Deal Management • Own the deal book: prioritization, stage tracking, stakeholder alignment, and decision cadence • Coordinate due diligence and manage data rooms on live transactions • Orchestrate internal cross-functional teams (Legal, Finance, Tax, HR

ABOUT THE INSTRUCTIONAL DESIGNER ROLE: WIN is looking for experienced Instructional Designers to create engaging, practical, and impactful learning experiences for our franchise owners, external partners, team members, customers, and other stakeholders to support our growth in the U.S. and internationally. You will work closely with subject matter experts and cross-functional teams to transform complex business processes, product knowledge, and operational concepts into engaging and effective learning experiences. From e-learning modules and videos to instructor-led sessions, onboarding programs, job aids, assessments, and product training, you will help determine the right learning approach for different audiences and needs. We are looking for team members who are curious, creative, and passionate about how peoplelearn. You should be excited to experiment, leverage AI, and continuously improve learning content faster and more effectively. KEY RESPONSIBILITIES: Design and develop engaging learning experiences including e-learning modules, instructor-led training, videos, onboarding programs, product training, job aids, SOPs, assessments, quizzes, and other learning resources. Manage learning content from concept through development, review, launch, and continuous improvement. Create learning journeys, course outlines, storyboards, scripts, activities, simulations, and assessments aligned with specific learning objectives. Utilize innovation and AI tools to accelerate research, content development, storyboarding, visual creation, video and voice production, assessments, and rapid prototyping of learning experiences. Design learning experiences for U.S. audiences with strong attention to language, context, examples, and cultural relevance. Collaborate with Product, Operations, Marketing, Technology, and other teams to develop training for new products, processes, systems, and initiatives. Maintain and update existing training programs and learning resources as product

Product Management Intern- Paytm Gold About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: - Paytm Gold is a prominent digital gold vertical within the Paytm ecosystem, integrated seamlessly into both consumer and business applications. ⁠ - This platform empowers users to initiate and cultivate a gold savings habit with investments starting from as low as ₹9.⁠ - The Paytm Gold team comprises seasoned professionals with extensive experience in developing and scaling successful gold-based consumer products. Key Responsibilities: - Contribute to product development and strategy for the Gold Team. - Assist in market research and competitive analysis. - Support cross-functional teams in product-related initiatives. Qualifications: - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Why join us 1. A collaborative output-driven program that brings cohesiveness across businesses through technology 2. Improve the average revenue per use by increasing the cross-sell opportunities 3. A solid 360 feedback from your peer teams on your support of their goals4. Respect, that is earned, not demanded from your peers and manager

We are looking for Performance Marketing Specialists to join our team of high-performing paid marketing experts and strengthen our digital advertising efforts. If you thrive on running and scaling Facebook and Instagram campaigns, enjoy working with content, copy, and design teams, and know how to turn data into growth, we’d love to connect. This role is open to candidates with 4 to 8 years of experience. The scope will flex as Specialist or Manager depending on your expertise and leadership readiness. What you’ll do ✨ • Collaborate with marketing teammates across paid ads, content, copy, and design to launch and optimize campaigns on Facebook and Instagram • Guide campaign strategy, manage budgets effectively, and maximize ROI • Track and analyze performance metrics like CTR, CPC, CPM, ROAS, and CPA, and act on insights • Run structured A/B tests on creatives, copy, audiences, and landing pages • Stay current with platform updates, new ad formats, and targeting features • For more experienced candidates, help shape scaling strategy and support peer development What we’re looking for 📊 • 4 to 8 years of hands-on experience managing campaigns in Meta Ads Manager (Facebook, Instagram) • Proven ability to manage budgets and deliver ROI at scale • Metrics-driven, analytical and team-player, able to communicate insights clearly • Experience with Google Ads, YouTube Ads, or LinkedIn Ads is a plus • Familiarity with landing page tools, analytics platforms, or marketing automation a bonus About WIN 🌍 WIN Home Inspection is the #1 ranked residential inspection services company in the United States. We are the fastest-growing brand in our industry, powered by proprietary technology and highly scalable solutions designed to manage and support explosive growth. Recognized as the most innovative residential services company in the US, WIN is redefining how residential services are delivered at scale. Why join us 🚀 • Work with a full-stack marketing team that includes s