Production Tech in India

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

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

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

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. Position Overview: The Staff Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCS, RDS, IAM, and more. I

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Staff SET Opportunity We are looking for an experienced Staff Software Engineer in Test to join our Identity Management Engineering (IDM) team serving the Privileged Access Team (PAM). This team is passionate about delivering large-scale, mission-critical software in a fast-paced Agile environment. In this role you'll be working with a team of highly-skilled and talented engineers, responsible for delivering sophisticated backend solutions that help Okta reliably operate at large scale and be highly available. As part of the team, you’ll be ensuring projects are completed with the highest quality and reliability using automation at every level for fast, robust and secure releases. What you’ll be doing Review requirements and design specs to develop relative test plans and test cases Automate API tests, end-to-end tests, reliability/scale tests Work with engineering management to scope and plan engineering efforts Communicate and document QE plans for scrum teams to review Review application code, identify bug and other areas of weakness, architect tools for future coverage Automate all critical features to maintain zero-debt cadence Release features with solid quality Respond to production issues/alerts and customer issues during on-call rotation Be a strong customer advocate with a strong quality DNA What you’ll bring to the role 5+ years of QE experience preferably in an enterprise SaaS company 3+ years experience in quality engineering for ente

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Airbnb ACC Enterprise Ops team is a dynamic business unit dedicated to delivering safe, quality stays and exceptional experiences for travelers worldwide. It helps increase supply effectiveness, utilization, and impact using people-powered operations. The Difference You Will Make: As a Quality Operations Specialist, you are the operational backbone of the Services supply quality program — ensuring every Service that goes live on Airbnb meets Airbnb's standards of safety, design, and trust. You operate as the subject matter expert (SME) for your functional area with full autonomy, own quality assurance across the team, drive process improvements, and mentor L4/L5 colleagues. You represent the team in cross-functional conversations and are the primary operational point of contact for senior stakeholders. A Typical Day: As a key member of the Operations team, you will apply deep domain expertise across a range of workflows — from reviewing Service submissions to driving cross-functional process improvements. This role demands full ownership, consistent delivery against performance metrics, and the ability to lead and develop the team around you. Review onboarding funnels for incoming Services and evaluate their readiness for listing on Airbnb, ensuring all policy, design, and regulatory requirements are met. Manage daily queue prioritization and work allocation; ensure the team delivers against production goals with minimal supervision. Serve as SME — resolve escalations and complex edge cases; guide the team on policy interpretation and ambiguous decisions. Mentor and

To ensure the safety and security of designated individuals, premises, and assets by conducting on-ground protection duties. The role involves implementing security strategies, executing operational plans, and responding effectively to emergencies and incidents. Source: Adani Group | Job ID: 55607

To ensure the safety and security of designated individuals, premises, and assets by conducting on-ground protection duties. The role involves implementing security strategies, executing operational plans, and responding effectively to emergencies and incidents. Source: Adani Group | Job ID: 55606

This role is responsible to ensure the efficient and reliable Protection testing of the Generator, Switchyard equipment, Power Transformers, HT/LT breakers and other associated equipment. This role is pivotal in upholding safety, environmental compliance, and sustainability standards while driving process improvements and innovation. This role is responsible for coordinating with stakeholders and embracing Digitalization and automation to enhance operational effectiveness. Source: Adani Group | Job ID: 49457

The Regional Security Head is responsible for managing security operations across multiple sites, aligning security measures with business goals and the Security Strategy Roadmap. This role ensures comprehensive protection of infrastructure, personnel, and assets through proactive threat assessment, risk management, and the deployment of security strategies that ensure business continuity. This role also oversees security-related automation, infrastructure projects, and leads a team to foster a safe and secure environment for employees, stakeholders, and designated protectees. Source: Adani Group | Job ID: 58692

The Regional Security Head is responsible for managing security operations across multiple sites, aligning security measures with business goals and the Security Strategy Roadmap. This role ensures comprehensive protection of infrastructure, personnel, and assets through proactive threat assessment, risk management, and the deployment of security strategies that ensure business continuity. This role also oversees security-related automation, infrastructure projects, and leads a team to foster a safe and secure environment for employees, stakeholders, and designated protectees. Source: Adani Group | Job ID: 56418

The Regional Security Head is responsible for managing security operations across multiple sites, aligning security measures with business goals and the Security Strategy Roadmap. This role ensures comprehensive protection of infrastructure, personnel, and assets through proactive threat assessment, risk management, and the deployment of security strategies that ensure business continuity. This role also oversees security-related automation, infrastructure projects, and leads a team to foster a safe and secure environment for employees, stakeholders, and designated protectees. Source: Adani Group | Job ID: 56411

The Regional Security Head is responsible for managing security operations across multiple sites, aligning security measures with business goals and the Security Strategy Roadmap. This role ensures comprehensive protection of infrastructure, personnel, and assets through proactive threat assessment, risk management, and the deployment of security strategies that ensure business continuity. This role also oversees security-related automation, infrastructure projects, and leads a team to foster a safe and secure environment for employees, stakeholders, and designated protectees. Source: Adani Group | Job ID: 57667