About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role We are seeking a Software Engineer, Security Observability to join our Security team. In this role, you will be responsible for building secure, scalable systems that enhance our security observability infrastructure. Leveraging your strong engineering skills, you will collaborate with cross-functional teams to develop, deploy, and maintain robust software solutions that support our security and detection capabilities. This role is open to remote employees, or relocation assistance is available to one of our OpenAI offices in San Francisco, Seattle, or New York City. Due to requirements associated with work this role may support, applicants for this position must be U.S. citizens. In this role, you will: Design and develop scalable software systems that facilitate security observability across our infrastructure. Build and maintain data pipelines that centralize and store security-relevant data from diverse sources. Proactively improve the resilience and reliability of data systems to ensure high platform availability Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk. Contribute to data engineering in support of forensic investigations and compliance efforts. You might thrive in this role if you have: Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar. A background in infrastructure as code, with exp
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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 You are an experienced Platform Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning/sharding strat
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 You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning
Technical Lead - Backend About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: As a Technical Lead, you will be developing the detailed design structure, implementing the best practices and coding standards, leading a team of developers for successful delivery of the project. You will be working on design, architecture and hands-on coding. Requirements: ● 6+ years of server-side application development experience with Java, Spring boot, Microservices, AWS Demonstrated experience delivering highly scalable products Deeply technical with a track record of successful delivery. ● An entrepreneurial spirit combined with strong program and product management skills. Proven success in building, motivating and retaining teams. ● Excellent written and verbal communication skills with the ability to present complex plans and designs. ● Excellent judgment, organizational, and problem-solving skills. Excellent design and architecture knowledge. Preferred Qualification : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: ● Tech Stack: Lang: Java/Golang DB: RDBMS, Messaging: Kafka/RabbitMQ, Caching: Redis/Aerospike, Micro services, AWS. ● Strong experience in scaling, performance tuning & optimization at both API and storage layers. ● Hands-on leader, and problem solver with a passion for excellence. Why join us: ● Because you get an opportunity to make a difference, and have a great time doing that ● You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve ● You should work with us if you think seriously about what technology
About the job We are looking for a Software Engineer to join the Kapacity.io team at EnergyHub! Our team, made up of YC alumni (S21) and elite product and software talent, builds some of the most advanced flexibility solutions in the market. Kapacity.io , previously backed by Y Combinator and acquired by EnergyHub in 2024, focuses on the European energy market, offering an energy management platform to energy companies, allowing them to connect residential heat pumps, EVs and batteries to a Virtual Power Plant. EnergyHub is the leading residential Virtual Power Plant provider in North America, with over 2.5 million connected residential devices. Virtual Power Plants (VPP) allow energy companies to adjust their customers’ power consumption to reduce grid congestion and benefit from price volatility. VPPs reduce the need for peak power generation, reducing investment needs and carbon emissions of the grid. Residential users are compensated for participation with reduced energy costs and/or direct compensation. Join us in building high impact solutions for energy grid flexibility. If you’re a growth minded individual who has a passion for tech and energy, this team is for you! Here's what you'll do... Design, build, and maintain the software that sits at the core of Kapacity.io’s optimization products. Become a core contributor to our codebase, actively participating in work planning, retrospectives, and overall team improvement. Work directly with sales, translating business needs into viable technical solutions. We use Go, React, Typescript, Python, Django, PostgreSQL and Docker. We’re on AWS and communicate on Slack. Here's what we're looking for... We’re seeking a Software Engineer with 2+ years of experience developing and deploying production-quality software with experience in UI / UX development. Experience with UI / UX Typescript, Javascript Go(lang), python, docker, AWS Relational Databases (Postgresql) Adaptability and resilience when facing new, difficult a
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