Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is growing quickly. You will play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. Role Overview: We're looking for a Staff Platform Engineer to serve as the technical backbone of our Engineering organization. You'll own the technical strategy, and delivery of our platform — spanning architecture, DevOps, SRE, security, Dev-ex. This is a hands-on staff level role: you'll set technical direction, drive cross-team alignment, and be the senior escalation point for platform challenges. What you’ll do: Drive platform reliability, scalability, security, and cost efficiency across all environments. Technical Leadership: Provide technical leadership for platform components, Influence the technical strategy and architecture of our cloud platform, from CI/CD pipelines to observability and incident response. Design and implement platform components and reusable integration patterns that minimize custom development efforts, reduce the time spent on repetitive tasks, and ensure that integrations scale across multiple healthcare systems Partner closely with Architecture, DevOps, SRE, and Security teams to deliver cohesive platform solutions Cross-Functional Collaboration: Work closely with product teams, and solutions architects to understand integration needs and ensure the platform meets current and future business requirements. Serve as a senior escalation point for infrastructure and platform incidents Establish frameworks for: AI governance and compliance. Observability of systems. Traceability of decisions and outputs. Ensure enterprise readiness with security, auditability, and reliability in production environments. Security & Compliance : Ensure all p
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Senior Software Engineer 3 in India
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Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati
Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug compl
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Debug Validation Lead will drive post-silicon debug and validation activities for next-generation AI compute silicon and systems. The role is responsible for leading teams focused on identifying, reproducing, analysing and resolving complex silicon, firmware and system-level issues during bring-up, characterization and product readiness. This position combines deep technical debugging expertise with strong cross-functional collaboration across multiple engineering disciplines. The role will work closely with architecture, RTL, firmware, software and systems teams to improve debug methodologies, accelerate issue resolution and strengthen validation coverage. The role will work closely with architecture, RTL, firmware, software, systems and platform teams to improve debug methodologies, accelerate issue resolution and strengthen validation coverage. The Team The Post-Silicon Debug and Validation team sits within the Architecture and Validation organisation and is responsible for bring-up, debug and validation of Graphcore silicon and systems. The
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role combines deep technical expertise with people leadership responsibilities, including team development, prioritisation, mentoring and delivery coordination across multiple projects and stakeholders. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously imp
Staff -Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debu
We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te
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. Senior Backend Java Developer Position Summary TEGNA is looking for an experienced Senior Backend Java Developer to join our highly collaborative and agile engineering team. This role is ideal for someone who enjoys solving complex technical challenges and building scalable backend platforms in high-performance environments. You will work on designing and developing cloud-native applications and distributed systems while collaborating across engineering teams to deliver reliable and innovative solutions. What You’ll Do • Design, develop, and implement scalable backend services using Java, Spring Boot, and AWS. • Build and optimize microservices-based architectures to support high-performance applications. • Develop reliable and scalable solutions for distributed systems operating in high-traffic environments. • Partner with cross-functional teams to understand requirements and deliver quality solutions. • Improve application performance, resiliency, scalability, and system reliability. • Participate in code reviews and contribute to engineering best practices and quality standards. • Drive continuous improvements through emerging technologies and modern development practices. • Support cloud deployment, monitoring, and operational excellence initiatives. What You’ll Bring • Bachelor’s or master’s degree in computer science, Software Engineering, or
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Product and Engineering team in the Cloud Native Business Unit is looking to bring on a Senior Technical Program Manager to join a team of TPMs focused on driving complex and cross-cutting initiatives and programs to meet our top objectives and key results to delight our customers. WHAT YOU'LL DO You will take charge using your technical leadership and program management skills to drive execution with high quality for these key initiatives. You will be responsible for establishing best practices, collaborating across multiple business units and managing dependencies and deliverables for multiple programs. You will be working with a global team of software engineers who develop new features and capabilities with a rapid rate of change. You will be responsible for driving multiple parallel product releases in a fast pace environment. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING Minimum 8+ years of experience as a Technical Program Manager (TPM) leading product delivery teams for enterprise commercial software organizations MS in computer science, MBA or engineering management equivalent preferred. Minimum 6+ years hands-on experience delivering enterprise commercial software releases in a dynamic environment&nbs
About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. What You’ll Do: Architect the Future of AI Infrastructure: You will design, build, and own the end-to-end platform that supports the entire lifecycle of our ML models—from massive-scale distributed training to ultra-low-latency, highly-available inference. Optimize and Serve Cutting-Edge Models: You'll implement and scale sophisticated inference stacks for LLMs using frameworks like vLLM, TensorRT-LLM, or SGLang . You’ll solve complex challenges in throughput, latency, token streaming, and automated scaling to deliver a seamless user experience. Empower AI Innovation: You will act as a strategic partner to our AI Research and Data Science teams. You’ll create a seamless developer experience that accelerates their ability to experiment, fine-tune, and deploy groundbreaking models with velocity and confidence. Automate Everything: You'll develop robust CI/CD/CT (Continuous Training) pipelines using tools like Argo Workflows, ArgoCD, and GitHub Actions to automate model validation, deployment, and lifecycle management, ensuring our systems are both agile and rock-solid. What are we looking for Experience: 5+ years in infrastructure or software engineering, with at least 2+ years laser-focused on MLOps or ML infrastructu
NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <
Senior Product Manager (Integrations) |100% Remote | Eltropy We are seeking a detail-oriented and driven Product Manager – Integrations to join our fast-growing global team. In this role, you will own the strategy and execution of Eltropy’s integrations platform, enabling partners and financial institutions to seamlessly connect with our ecosystem. You will play a critical role in building and scaling our developer platform and partner integration capabilities, enabling integrations with core banking systems, loan origination platforms, account opening solutions, CRMs, eSignature/eNotary providers, and digital banking platforms. This role will also help drive Eltropy’s AI for All vision, powering an ecosystem where partners can build intelligent solutions and AI agents through our growing agentic AI marketplace. This is a remote position based in India , with 10% travel to client sites in the U.S. as needed. What You Offer Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a closely related field. Minimum of 3 years of experience in Product Management, Software Engineering, or a technical product role . Experience working with APIs, integrations, or platform-based products. Proficiency in Agile/Scrum workflows and cross-functional collaboration. Strong analytical and communication skills, with the ability to translate complex technical needs into clear product requirements. Experience owning end-to-end product lifecycles, from ideation and roadmap planning to release and adoption. Technical Skills (Required) Experience using Atlassian’s Confluence and JIRA suite of tools Experience working with REST APIs and integration architectures Experience using Agile development methodologies Experience using data analysis and reporting tools Basic understanding of web technologies (HTML, CSS, JSON, APIs) Key Assets (Highly Valued) Experience working with financial institutions, fintech platforms, or financial servi
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary The Workplace Coordinator is responsible for the day-to-day operation and maintenance of workplace infrastructure, ensuring that all building systems operate efficiently, safely, and reliably. This role oversees HVAC systems, including chillers and AHUs, Building Management Systems (BMS), electrical panels, and coordinates preventive and corrective maintenance activities to support uninterrupted business operations. Key Responsibilities Technical Operations · Monitor and maintain HVAC systems including Chillers, AHUs, FCUs, and ventilation systems. · Operate and monitor Building Management System (BMS) for alarms, trends, and equipment performance. · Inspect electrical LT panels, UPS systems, DG synchronization (if applicable), and power distribution systems. · Monitor critical utilities including temperature, humidity, pressure, and energy consumption. · Ensure uninterrupted operation of critical infrastructure and respond promptly to system failures. Preventive & Corrective Maintenance · Plan and execute preventive maintenance schedules for HVAC and electrical systems. · Coordinate breakdown maintenance with
Job Overview: We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end-to-end solutions across RAG, function/tool calling, multi-agent coordination, and scalable deployment. Key Responsibilities Design and implement agentic systems: single-agent and multi-agent architectures (planner/executor, supervisor-worker, routing, reflection, critique, task decomposition). Build robust tool-using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing. Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long-term memory, and grounding/citation behaviors. Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible. Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization. Establish agent evaluation: golden sets, simulation-based evals, LLM-as-judge with mitigations, task success metrics, regression testing. Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement. Collaborate with product, security, and platform teams to deliver enterprise-ready solutions and integrate with internal systems (data, identity, workflow). Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps. Required Qualifications 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production. Strong programming skills in Python (required) and/or TypeScript/Node.js. H
As a Senior Technical Program Manager at NVIDIA you will act as the bridge between strategy, execution, and technical alignment, driving complex programs end-to-end. This role demands strong technical acumen, exceptional program management skills, and the ability to influence without authority across a dynamic, matrixed organization. You will collaborate across software engineering, product management, OEMs and other teams to deliver solutions that shape the future of accelerated computing, with focus on Multimedia technologies (audio and video). What you’ll be doing: Program Ownership. Lead multimedia programs from inception to delivery, ensuring timelines, milestones, and quality standards are met. Manage release checklists, post-release feedback, and continuous improvement initiatives. Maintain and continuously improve program plans; ensure project focus and execution against commitments. Create and maintain metrics that track execution effectiveness and program health. Technical Leadership: Deep dive into product architecture and design; maintain curiosity and technical proficiency. Collaborate with engineering teams to resolve technical challenges and optimize solutions. Stakeholder Management: Communicate decisions, progress, and risks clearly to stakeholders, customers at all levels. Build trust and influence across cross-functional teams. Strategic Thinking & Risk Management: Identify and mitigate risks proactively to prevent delays and cost overruns. Drive RCCA (Root Cause and Corrective Action) and ensure gaps are closed effectively. Communication & Information Management: Deliver precise, tailored information for diverse audiences and higher management. Consume complex data and bring clarity to discussions for actionable outcomes. Complex programs with sign
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