Senior System Software Safety Engineer in India

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies. Addepar is building solutions to support our clients' alternatives investment strategies. The alternatives data management product is a serverless, modular and terraformed stack. We're hiring a Senior Software Engineer to design, implement and deliver modern software solutions that ingest and process ML-extracted data. You will collaborate closely with cross-functional teams including data scientists and product managers to build intuitive solutions that revolutionize how clients experience alternatives operations. You will work closely with operations engineering on document-based workflow automation and peer engineering teams to define the tech stack. You will iterate quickly through cycles of testing a new product offering on Addepar. If you've crafted scalable systems, or worked with phenomenal teams on hard problems in financial data, or are just interested in solving reall

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . Recruiter: Aishwarya Gopalakrishna Hiring Manager: Vivek Kumar Tiwari Level: P3 See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer (P3) About the job This position is needed to build new features and capabilities in the Twilio Segment team. As a Senior Software Engineer on this team, you’ll build and scale systems that process several hundred thousands of data points per second. Helping our customers unlock value of their data from external systems and activate it to various destinations via Segment capabilities. You will work on high-scale ingestion and data processing systems. We iterate quickly on these products and features and learn new things daily — all while writing quality code. We work closely with product and design and solve some of the toughest engineering problems to unlock new possibilities for our customers. If you get excited by building products with high customer impact — this is the place for you. Responsibilities In thi

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer at GitLab, you will help shape a major investment in our Software Supply Chain Security offering. In this role, you'll serve as a senior technical leader for backend systems that help customers secure how software is built, verified, and delivered inside the GitLab platform. You'll work on foundational capabilities across package policy enforcement, build provenance, artifact signing, and malicious package detection, with a strong focus on enterprise-grade security and performance. You'll define architecture before systems are built, write clear technical proposals, and guide i

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control. Redwood’s global team of automation experts and customer success engineers provide solutions and world-class support designed to give you the freedom and time to imagine and define your future. Get out of the weeds and see the forest, with Redwood Software. 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 to join our engineering team and help drive the design, development, and enhancement of our platform. You will build high-quality, scalable, and secure software that powers enterprise data exchange for more than 1,000 customers worldwide. As a Software Engineer on the team, you will help build secure, reliable, and scalable enterprise software that enables our customers to automate their most critical data exchange workflows. Develop backend services and microservices using Java/Spring Boot Solid understanding of object-oriented programming (OOP), design patterns, and software architecture principles. Implement and consume RESTful APIs to integrate with customer systems Enhance monitoring, logging, and observability of the platform Ensure security and compliance across file transfer workflows Write clean, maintainable, and well-tested code Work closely with senior engineers and gain exposure to architectural decision-ma

Opportunity Overview: We are seeking a Senior Software Engineer - AI to join our Engineering team. In this role, you will build the intelligent agents and applications serving health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale. This is an opportunity to make a direct impact on healthcare outcomes while working with modern technologies in a fast-paced, collaborative environment. What you’ll do: Agent Development : Participate in the development, evaluation, and deployment of Cohere’s AI-powered agents and applications. Data & Retrieval Architecture : Design data and retrieval architectures that give AI agents the right context across diverse healthcare sources. Hands-On Engineering : Design, review, and own high-quality agentic code — leading releases, production deployments and on-call support. Cross-Functional Collaboration : Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. Security & Compliance : Ensure all agentic components comply with healthcare security and privacy regulations (e.g., HIPAA) and adhere to industry best practices for security. Agile Development : Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: Must-haves Bachelor’s degree

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

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 Integrations & Application Engineering team owns the integration and automation platforms at Airbnb. We enable teams across the company to self-serve in connecting their systems and automating solutions, and we integrate Airbnb’s enterprise systems end-to-end. The team also builds and manages custom in-house solutions and the application infrastructure that supports them. This is a hybrid IC and people-leadership role focused on Finance integrations and automations. As a Tech Lead Manager, you will lead and grow a team of engineers while operating hands-on at a senior IC level, setting technical direction, owning delivery, and writing and reviewing code yourself. We’re looking for someone with deep ERP product knowledge who builds integrations in general-purpose languages, takes ownership of systems and people, and is enthusiastic about applying AI, building tools and integrations with Claude Code that extend what the team can do. A Typical Day Lead the Finance and ERP integration practice: set direction, run initiatives in parallel, and own the systems and processes your team supports. Balance management with hands-on work: unblock the team, review designs and code, and build complex integrations, backend services, APIs and MCPs yourself. Partner with Finance, Procurement, and cross-functional teams to translate requirements into integrations, automations, and reporting. Coach and grow engineers and contractors through design reviews, architecture discussions, and career development. Own the smooth operation of month-end financial integrations and reporting, proactively surf

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

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: The Trade Monitor will work closely with the firm’s senior management on a variety of tasks, including: Start and supervise automated trading systems for multiple exchanges and venues Understand how high frequency trading strategies work and make changes in strategy parameters during live trading based on market conditions Build, test and deploy trading monitoring software's to analyze strategy metrics in real time Work closely with Quantitative researchers and Software Developers while testing or deploying updates in GUI, trading infrastructure and strategies Assess live trading for risk and technical issues and quickly respond to unusual behaviors or market conditions Qualifications: Must-Have Requirements Automated Trading Systems/Trading experience Trading Operations Market Monitoring Live Trade Supervision Trading Infrastructure Risk Management (Trading Context) Strategy Parameter Tuning Microsoft Office Proficiency Preferred Technical Skills Linux Basics Python Trading GUI Handling Ideal candidates: Flexible to work in rotational shift Possess a reliable and disciplined approach to work Strong attention to detail Excellent communication skills and fluency in English for business purposes Strong experience of using end user computing tools like Microsoft office and other equivalent products Bachelor's degree with professional experience in a related role at a stock broking firm Benefits: NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organization where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest employees to wor

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

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

University Recruiter About Graviton : Graviton Research Capital is a global quantitative trading and investment firm driven by technology, mathematics and rigorous problem-solving. We bring together exceptional talent across quantitative research, software engineering and technology to solve some of the most challenging problems in the industry. Our university talent ecosystem is one of the most important engines for building Graviton's future — and one of the most operationally demanding to run well. The Role : We are looking for a campus talent professional who can both think in systems and execute in detail — someone who can shape how Graviton identifies, engages, assesses and converts exceptional early-career talent, and who is equally comfortable owning the on-the-ground execution that makes a hiring cycle run without friction. Depending on experience, this role can be scoped as a hands-on execution owner running the campus hiring engine end-to-end, or as a strategic owner architecting the assessment frameworks, university strategy and program design that the engine runs on — in both cases, you will partner closely with Quant and Tech leaders and be accountable for the full lifecycle: university outreach, assessments, internships, PPO conversion and onboarding. What You Will Own Campus Talent Strategy & Ecosystem Building Build and maintain relationships with priority institutions (IITs, IIITs, BITS and relevant global universities), placement offices, faculty and student communities. Drive year-round engagement - events, technical talks and competitions — to strengthen Graviton's employer brand outside peak hiring windows. Assessment & Selection Coordinate (or design and standardize, at senior levels) rigorous selection frameworks in partnership with Tech and Quant teams — scheduling assessments, allocating panels, driving timely feedback, and building interviewer calibration mechanisms to keep evaluation objective and consistent. Internships & PPO

Opportunity Overview: We are seeking an experienced and driven Sr. Technical Talent Acquisition Partner to join our Talent Acquisition team and spearhead hiring initiatives for our Healthcare Technology organization. The ideal candidate will have strong technical hiring expertise, a deep understanding of engineering roles (e.g., software development, data engineering, cybersecurity, cloud, etc.), and a passion for healthcare innovation. In this role, you will lead strategic hiring efforts, partner closely with business leaders to attract top-tier engineering talent aligned with the evolving needs of the healthcare tech landscape. You will play a key role in scaling high-performing technology teams that are building transformative healthcare solutions. What you’ll do: Recruitment: Lead and own the end-to-end recruitment lifecycle from sourcing, screening, and interviewing to offer negotiation and onboarding for critical IT roles across domains like software engineering, data science, cloud, DevOps, cybersecurity, and healthcare IT systems. Assess candidates for both technical and cultural fit; conduct initial technical interviews when appropriate. Drive diversity, equity, and inclusion (DEI) in hiring initiatives. Stakeholder Management: Serve as the primary point of contact for senior-level hiring, workforce planning, and executive recruitment. Partner with business, HRBPs, and leadership to forecast talent needs and develop proactive sourcing strategies. Collaborate with global TA and business teams on talent pipeline planning and role prioritization. Sourcing & Market Intelligence: Design and execute advanced sourcing strategies across platforms, leveraging multiple sourcing channels including job boards, LinkedIn, employee referrals, campus outreach, and recruitment agencies. Employer branding: Represent the company at tech events, career fairs, and employer branding campaigns to attract top talent. Conduct regular market mapping and talent intelligence repor

IoT Hardware Engineer Build the Future of Smart Connected Devices Join our growing team as an IoT Hardware Engineer and work on exciting IoT solutions that combine electronics, embedded systems, and smart technologies. We are looking for a passionate, hands-on engineer who enjoys designing, building, testing, and improving real-world connected devices. Key Responsibilities: Design, develop, and prototype IoT devices using ESP32 microcontrollers. Develop and integrate firmware, hardware components, and embedded systems. Select and evaluate sensors, actuators, communication modules, and electronic components for IoT applications. Participate in hardware design reviews and product improvement discussions. Assemble, test, and debug electronic prototypes for performance and reliability. Troubleshoot hardware and software issues using professional debugging techniques. Required Skills & Experience: ITI, Diploma in IT Hardware Engineering, Computer Engineering, Electronics, or related field (highly preferred). Strong experience in programming and working with microcontrollers, especially ESP32. Experience with embedded platforms such as ESP32, STM, and similar systems. Knowledge of sensor interfacing using I2C, SPI, UART, and other communication protocols. Excellent PCB soldering skills and experience building complex electronic prototypes. Strong understanding of electronics fundamentals including resistors, voltage levels, power management, and circuit design. Ability to use testing tools such as oscilloscopes and logic analyzers for debugging circuits. Preferred Skills: Experience with KiCad or other hardware design tools. Knowledge of low-power design techniques for battery-operated IoT devices. Understanding of power optimization and embedded system efficiency. Familiarity with Agile development methodologies. Who We’re Looking For: A creative and skilled IoT enthusiast who loves turning ideas into working hardware products. If you enjoy experimenting with e