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 You will lead the product strategy for GitLab's next generation of engineering insight, helping software leaders, engineering managers, CTOs, and CPOs understand not just what their teams shipped, but why, and what to do next. As Principal Product Manager, Engineering Intelligence & Insights, you will shape how GitLab turns engineering data into decision-ready intelligence: the core data infrastructure and knowledge graph integrations that connect it, the out-of-the-box dashboards customers rely on today, and the conversational AI experiences that let leaders simply ask a question and get an answer in
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The Leidos Health & Civil Sector is seeking a Software Engineering Lead to support the National Institutes of Health (NIH), National Cancer Institute (NCI). ** This posting is for future business – not yet awarded ** The Software Engineering Lead will oversee the design, development, modernization, integration, testing, deployment, and sustainment of enterprise software solutions supporting NCI. In addition, the Software Engineering Lead will provide technical leadership for software engineering teams responsible for delivering secure, scalable, cloud-native applications that advance NCI's biomedical research and business mission. Working under the direction of the Technical Lead, the Software Engineering Lead will collaborate closely with Government stakeholders, technical Subject Matter Experts (SMEs), solution architects, AI/ML engineers, data engineers, cybersecurity specialists, and DevSecOps teams to ensure the successful delivery of modern software solutions that support scientific research, clinical operations, and enterprise business systems. The successful candidate will champion modern software engineering practices, Agile development methodologies, DevSecOps, cloud-native architectures, and continuous innovation while ensuring high-quality, secure, and maintainable software solutions aligned with NIH and NCI standards. Key Responsibilities Lead the design, development, modernization, testing, deployment, and sustainment of enterprise software applications supporting NIH/NCI scientific, clinical, and business operations. Provide technical leadership across the full Software Development Lifecycle (SDLC) using Agile methodologies, including Scrum and Kanban, to deliver secure, scalable, and high-quality software solutions. Establish and enforce software engineering best practices, coding standards, configuration management, and DevSecOps processes to s
Opportunity Overview: We are seeking a Lead Software Engineer to join our Integrations team, designing, developing, and scaling highly available healthcare integration systems that support prior authorization workflows across providers, payers, and delegated entities. You'll lead a fast-paced, autonomous, agile team of engineers building and operating a growing enterprise integration platform — driving technical excellence at the intersection of healthcare interoperability and modern distributed systems. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Provide technical leadership across architecture, system design, platform scalability, reliability, and operational excellence Design and build scalable, resilient, high-performing systems supporting critical enterprise integrations Lead development of secure integrations with internal, external, and third-party platforms Design event-driven, distributed architectures and drive cloud infrastructure and CI/CD automation Establish monitoring, observability, and incident response practices, and lead resolution of production issues Partner cross-functionally with product, operations, data, security, and business stakeholders on agile delivery Mentor engineers and contribute to hiring, coaching, and career development What you’ll need: 8+ years building and supporting scalable enterprise applications and distributed systems Hands-on experience integrating external APIs/third-party systems and building automated testing frameworks required Expertise in authentication/authorization frameworks, secure API design, and access control required Experience with data modeling across relational/non-relational databases, observability tooling, and event-driven architecture required Healthcare technology/prior authorization experience, interoperability standards, or experience in other highly regu
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Lead Software Engineer, Cloud Services, you will create scalable, reliable backend systems that support HP IQ's mission to transform the way people work. We value how we work as much as what we deliver. Our journey of continuous learning and evolution requires a flexible and resilient services platform that fosters innovation, experimentation, and adaptation. To enable this, we focus on designs and tools rooted in strong engineering principles like abstraction, composition, virtualization, automation, and iterative development cycles. What You Might Do Lead technical strategy and execution across development and infrastructure, designing and implementing scalable, secure cloud-native systems while establishing architecture standards and engineering best practices. Own end-to-end delivery of platform and cloud services, including infrastructure buildout, application architecture, APIs, deployment pipelines, observability, reliability, and performance, while mentoring engineers and driving cross-functional alignment. Work with modern containerization and cloud technologies, includi
About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema using PostgreSQL,
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Lead Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliability.
About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and
Software Engineering Lead- Automation Platform — Taipei City, Taiwan Region. Apply via Workday.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview Mastercard is seeking a Technical Lead to join the Cardholder Services, Global Benefits team in Pune, India. The team develops next-generation products and services that enable cardholders to securely and efficiently access and use benefits across digital channels. Role As a Technical Lead, you will provide hands-on technical leadership across the design, development, integration, testing, and delivery of CHS applications. You will lead technical design and architecture decisions across Java/Spring Boot services, React/Angular applications, APIs, databases, event-driven integrations, and cloud platforms. You will drive engineering best practices, technical evaluations and PoCs, resolve complex technical issues, and ensure solutions are scalable, secure, resilient, and production-ready. You will collaborate with Product, Engineering, Architecture, and QE teams and provide technical guidance and mentoring to engineers. Skills / Requirements Strong hands-on experience in Java, J2EE, Spring, and Spring Boot Strong hands-on experience with React and/or Angular Deep experience with REST APIs, Web Services, and microservices architecture Strong experience with Oracle/SQL, including query optimization and data validation Experience with K
Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V
Role Overview: Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking. This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset , emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities. Key Responsibilities: AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability. Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs). Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot). Iterative Delivery: Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement. Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior. Emerging Technologies: Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies. Technical Collaboration: Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers. Domain Alignment: Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes. Qualificatio
Become a part of our caring community Why Join Enterprise Observability Engineering? The Enterprise Observability Engineering team is a high-impact, high-autonomy group focused on building intelligent, scalable, and resilient observability solutions. We foster a culture of innovation, agility, and ownership—empowering engineers to solve complex problems, drive strategic initiatives, and shape the future of how we monitor and operate distributed systems. If you're passionate about building tools engineers love, solving unscoped challenges, and leading with technical excellence—this is the team for you. About the Role We’re looking for an expert Lead Software Engineer with deep expertise/hands on experience in building, designing and engineering solutions for logging and observability engineering. You should be fluent in the principles of open telemetry, log ingestion, and event correlation across distributed systems. While familiarity with platforms like Splunk or Dynatrace is a plus, we value Observability platform-agnostic thinking and the ability to design resilient, scalable logging solutions using the best-fit tools for the environment. As a Lead Software Engineer, you will create and drive the design, implementation, and evolution of our observability and logging platforms. You’ll lead enterprise-scale initiatives, mentor engineers, and collaborate across disciplines to ensure our systems are reliable, scalable, and performant. Applying deep technical expertise to solve real-world challenges. You’ll work closely with SRE, Security, Networking, Platform Engineering, and Data Science teams to evolve our observability strategy using AI/ML and cloud-native technologies. Key Responsibilities ● Architect and optimize observability environments through software
Lead Software Engineer-Simulation Company: The Boeing Company The Boeing Company is currently seeking a Lead Software Engineer-Simulation (Level 5) to join the Flight Simulation | Labs team located in Berkeley, MO. Flight Simulation | Labs provides comprehensive simulation and laboratory solutions for the design, development, and deployment of Boeing Defense Systems products. This position is for a Lead Software Developer on the Test Development Kit (TDK) project on the Flight Simulation Core Software team. TDK is a simulation architecture and toolset which comprises the core Modeling & Simulation infrastructure for multiple current and future generation Boeing defense platforms. The TDK product is critical to the success of the supported programs. The TDK Lead Software Engineer will lead the design, architecture, and development of the TDK framework, models and tools to facilitate the testing and analysis needs of the programs. The Lead Software Engineer will serve as a subject matter expert on the TDK product and simulation in general, and as a customer facing technical expert for the Flight Simulation | Labs (FSL) TDK product and capabilities. Position Responsibilities: Oversees the design, architecture, and development of simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle. Partners with stakeholders to advise on the review and identification of simulation requirements and dynamics of the systems being simulated. Oversees the design
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Job Description Summary Job Summary: ============================= Providing Innovative, Secure, and Reliable Switching Solutions is the lifeblood of Mastercard Core Products, we are currently seeking a passionate, collaborative, and experienced software engineer to join the Payment Networks Team. Are you a collaborator capable of communicating effectively with Business and IT stakeholders across all organizational levels? Are you an innovator who embraces, adopts, and studies the latest technology to solve challenging business problems? Are you a leader who inspires the team to think “out of the box” and effectively communicates across all levels of the organization? If this describes you, Mastercard wants to talk to you about the creation of our new agile development team that will support Network Access solutions within the Payment Networks organization. About the Role: =================================== - Ensure quality of one or more application codebases and alignment with development standards. - Applies technical capabilities within own discipline to coach and develop junior employees. - Assists in vendor assessment and evaluates and recommends software development tools. - Designs highly complex applications, interfaces and integration with a mod
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer - Java Backend Overview Be part of the Operations & Technology Fraud Products team developing new capabilities for MasterCard's Decision Management Platform, which serves as the core for multiple business solutions to combat fraud and validate cardholder identity. Our patented Java-based platform processes billions of transactions per month in tens of milliseconds using a multi-tiered, message-oriented approach for high performance and availability. • Would you like to develop industry leading solutions for fighting fraud? • Are you motivated by speeding business solutions to market? • Do you want to innovate, using cutting edge technologies on challenging business problems? Required Skills / Qualifications : • Overall career experience of 8-12 years into Software Engineering in Java • Demonstrates strong ownership and the ability to learn and adapt quickly. Proven ability to lead through influence by aligning others, driving decisions, and unblocking delivery. • Solid understanding of service and platform level system design (e.g. distributed systems, event driven architectures), advanced design patterns (e.g. dependency injection, lazy loading) and experience with open frameworks (e.g. Spring Boot). • Strong software engineering fundamentals with hands
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