Product Designer in India

Senior Software Engineer (Backend) About Team Cloud Platform Engineering group designs, builds and manages platforms that allow Myntra’s tech product to be secured, reliable, deployed and run at scale. These horizontal platforms leverage cloud hosting platforms and ensure all Myntra’s hostings are agnostic to Cloud vendor. We also build a number of production automation like provisioning of infrastructure at scale and manage complex access management on servers. We have developed numerous in-house tools and platform for load/stress testing, zero trust, security and compliance, CI/CD, Observability at scale. And, we aggressively adopt from open sources and try to contribute back to the community. Tools and Platform Engineering This team builds and maintains centralized and high-scale platforms for Observability (centralized log collection, metric systems, monitoring systems), Security & Compliance (access management, secret management, database access, change management systems, Authentication and Authorization of services etc). The platforms developed by these teams are centralized tools used by all engineering teams for database access, and changes, infrastructure provisioning, on-call scheduling, onboarding new monitoring etc. The vault system and APIs, developed, deployed and managed by this team, is being used by all Myntra’s production services. This team consists of full-stack developers who are skilled in Python, Golang, ReactJs. Roles and Responsibilities Design, build and maintain central platform products to improve the security posture of Myntra Write maintainable, scalable, and efficient code. Design and architect technical solutions for the developer community at Myntra Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, code reviews, etc. Follow scrum sprint cycles and commitment to deadlines. Identify security gaps in or for software platforms and incorporate them into requirements

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the Role We're seeking an experienced DevOps/ Site Reliability Engineering (SRE) Engineer to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll work on technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments. Key Responsibilities Enterprise Platform Development: Partner with product and engineering teams to influence the development of advanced deployment capabilities. Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments. Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments. Partner with engineering teams to help develop self-healing and automated remediation capabilities. Platform Reliability and Operations: Establish and maintain SLAs/SLOs for both cloud and enterprise offerings. Lead incident response and post-mortem processes to drive continuous improvement. Optimise system performance, capacity planning, and cost efficiency. Work closely with product, engineerin

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

Role: Senior Cloud Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About GHX: GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities. Website: https://www.ghx.com/ LinkedIn: https://www.linkedin.com/company/ghx/ About Role: The Senior Cloud Engineer leads the design, implementation, and operations of the organization’s cloud infrastructure. This role is responsible for complex projects, high-level architectural planning, and making strategic technology decisions that support scalability, performance, security, and cost optimization. Acting as a technical leader, the Senior Cloud Engineer provides mentorship to junior and mid-level engineers while driving innovation, resiliency, and compliance in cloud environments. Key Responsibilities: Design and Implementation Lead the design and implementation of cloud-native architectures and hybrid cloud solutions. Oversee cloud engineering projects, ensuring solutions are secure, resilient, and cost-effective. Contribute to high-level architectural planning and strategic decision-making around technology adoption. Review and approve design proposals, Infrastructure as Code (IaC) tem

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Sr Staff Solutions Architect (Design Partner Program) The Challenge We're looking for a Solutions Architect to join our R&D Customer Engineering organisation and partner with strategic Design Partner customers. This is a highly customer-facing role that sits at the intersection of solution architecture, product strategy, and enterprise governance. You will work directly with customers to understand their business challenges, technical requirements, regulatory considerations, and strategic objectives. Acting as the bridge between customers, Product Management, Engineering, and Executive Leadership, you will help shape product direction, influence roadmap investments, and design scalable solutions that deliver measurable customer outcomes. Success in this role means helping customers operationalise trust, governance, privacy, risk management, consent, and responsible data use while accelerating adoption, improving implementation outcomes, and driving long-term platform value. Your Mission Partner directly with enterprise customers to understand business objectives, technical requirements, operational challenges, and

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Sr Staff Solutions Architect (Design Partner Program) The Challenge We're looking for a Solutions Architect to join our R&D Customer Engineering organisation and partner with strategic Design Partner customers. This is a highly customer-facing role that sits at the intersection of solution architecture, product strategy, and enterprise governance. You will work directly with customers to understand their business challenges, technical requirements, regulatory considerations, and strategic objectives. Acting as the bridge between customers, Product Management, Engineering, and Executive Leadership, you will help shape product direction, influence roadmap investments, and design scalable solutions that deliver measurable customer outcomes. Success in this role means helping customers operationalise trust, governance, privacy, risk management, consent, and responsible data use while accelerating adoption, improving implementation outcomes, and driving long-term platform value. Your Mission Partner directly with enterprise customers to understand business objectives, technical requirements, operational challenges, and

Who we are Graviton Research Capital is a privately funded quantitative trading firm. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Role Overview We are looking for a Program Manager who thrives at the intersection of rigorous engineering and predictable delivery. You will not just "manage tasks" — you will orchestrate the development lifecycle for mission-critical systems. Your goal is to ensure that our elite engineering teams can focus on high-performance code while you own the execution strategy, dependency mapping, and release discipline. Key Responsibilities Lead Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) tailored for deep-tech engineering teams. Transform high-level trading requirements into granular, executable backlogs. Own capacity planning and burn-down metrics to provide high-visibility delivery timelines. Navigate the complex interplay between engineering teams (e.g., Connectivity, Core Infrastructure, Simulation) to prevent bottlenecks. Build and maintain advanced Jira dashboards, automated roadmaps, and Confluence documentation that serve as the "single source of truth" for stakeholders. Proactively identify technical debt, architectural blockers, or resource gaps that threaten release stability. Continuously refine Agile methodologies to suit low-latency, performance-sensitive development cycles (where "Definition of Done" includes rigorous performance benchmarking). Eligibility & Required Skills 5+ years of experience as a TPM, Program Manager, or Scrum Lead in a product-engineering environment (HFT, FinTech, Networking, or Kernels/Systems). A strong grasp of the software development lifecycle for high-performance systems. While you won't write code, you must understand concepts li

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . You will own the end-to-end delivery of complex features, optimize backend performance, and collaborate on architectural decisions that impact more than 1,000 enterprise customers worldwide. This is an ideal role for an experienced engineer who thrives on technical autonomy, enjoys tackling complex cloud-native challenges, and wants to have a direct impact on product direction. Feature Ownership & Architecture: Design, build, and maintain scalable, secure, and highly observable backend services and microservices using Java and Spring Boot. Platform Evolution: Actively contribute to upgrading our core platform infrastructure, focusing on system resilience, performance tuning, and seamless component communication. Security & Compliance: Implement rigorous secure coding practices to safeguard data exchange and ensure compliance across our multi-tenant SaaS environment. Collaborative Execution: Work closely with Product, QA, and senior le

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . Working closely with senior and lead engineers, you will design, develop, and maintain high-quality features that power enterprise data exchange for more than 1,000 customers worldwide. This is an incredible opportunity to deepen your expertise in cloud-native architectures, enterprise security, and modern DevOps practices in a fast-growing product environment. Feature Development & Design: Write clean, maintainable, and well-tested code using Java and Spring Boot to deliver scalable backend services and microservices. Platform Reliability: Contribute to enhancing the monitoring, logging, and observability of our core platform to ensure high availability and performance. Security & Compliance: Implement secure coding practices to safeguard data exchange and maintain compliance across our cloud infrastructure. Collaborative Execution: Work within an agile team, collaborating closely with QA, Product, and fellow engineers to deliver high-qual

Opportunity Overview We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data. What You'll Do Semantic Layer Governance: Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across Architect the Enterprise Context Layer: Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems. AI-Native Prototyping : Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers. Security & Compliance Leadership : Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation. Cross-Functional Collaboration : Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders. ISMS roles and responsibilities Good knowledge of Informati

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

Opportunity Overview: We are seeking a Data Scientist to play a pivotal role in developing AI-driven healthcare enterprise applications. The ideal candidate will work with large datasets to uncover opportunities for product and process optimization. This role calls for hands-on experience in data modeling and solution optimization, along with a proven ability to deliver actionable, data-backed insights. Strong collaboration skills are essential, as you will partner with internal stakeholders and cross-functional teams to drive meaningful results. In our fast-paced environment, adaptability is key—your ability to pivot quickly and respond to business priorities will ensure you make the greatest possible impact. What you’ll do: Develop a deep understanding of business challenges and translate them into effective analytical solutions. Analyze complex datasets to uncover trends, patterns, and actionable insights that support strategic initiatives. Design, build, and maintain data models and reporting systems, leveraging both classical and modern machine learning and deep learning algorithms to enable robust analysis and informed decision-making. Evaluate and report on model performance and business impact, ensuring insights are clear, actionable, and effectively communicated. Proactively identify opportunities for product and process improvements using advanced analytics and machine learning techniques. Ensure accuracy and reliability of data-driven solutions through rigorous testing, validation, and continuous optimization. Stay ahead of industry trends by keeping up with emerging technologies and best practices in AI, machine learning, and healthcare analytics. ISMS roles and responsibilities: Fair understanding of Information Security practices. Align to the organization policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications: 4+ years of hands-on experience in Python with strong profic

Opportunity Overview: We are seeking a Healthcare Analytics Analyst to join our Analytics team. In this role, you will conduct analyses that drive our strategy, inform product performance, and provide insights critical to the development of new clinical intervention strategies and product enhancements. You'll partner closely with cross-functional teams and clients to optimize auto-decisioning performance and deliver increased value. This is an opportunity to directly impact company growth and assist patients at a critical time in their healthcare journey. What you'll do: Research, build, execute and optimize auto-decisioning strategy for new client implementations Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making Identify optimization opportunities based on analyses to improve auto-decisioning performance and drive increased value for clients Perform quantitative analysis of health care cost, operational performance and clinical outcomes using claims and authorization data Track cost, utilization and industry trends to inform stakeholders of solution performance and provide insights around opportunities to optimize clinical value for patients, providers and payers Prepare information for clients, build reports, data visualization and self-service solutions for internal and external stakeholders Develop, review, and analyze detailed data sets leveraged for client reporting/analytics Collaborate with IPA team on rule refinement and metric tracking What you'll need: Must-haves 2-5 years in an analyst role, ideally at a health tech company, health plan, or healthcare consulting firm Has worked hands-on with claims data, authorization data, or utilization management data Proficient in SQL (daily use) Has built and maintained dashboards in Tableau or PowerBI for internal and external stakeholders Bachelor's degree in Health Informatics, Public Health, Data Analytics, o

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines