Golang in India

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase stores a large amount of digital currency making us a top tier target on the internet. Security is core to our mission and has been a key competitive differentiator for us as we scale. Security Platform Engineering ( SPE ) team is building platform capabilities for a variety of security use cases critical for security, compliance and privacy at Coinbase. Some of the key functional areas we are developing capabilities for are secrets and key management, identity access and management, onchain security, policy and risk management, vulnerabilities management enabling our product, compliance, security and services teams to protect Coinbase and our customers. What you’ll do: Architect and develop platform for security platform engineering org Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps Build new services to meet critical product and business needs using Golang / Java Design scalable systems to solve novel problems with modern cloud technology and industry best practices. Manage individual projects priorities, deadlines and deliverables with your technical expertise Mentor and train other team members on design techniques and coding standards Articulate a long term vision for maintaining and scaling our backend systems and the teams running them. Work with engineers, designers, product m

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Job Description Okta’s Auth0 is an easy to implement, adaptable authentication and authorization platform. We make everyone’s login experience awesome. If you are a problem solver who wants to make this login experience even better, then look no further - Okta Auth0 B2C Authentication domain is where you want to be. Our domain’s mission is to provide a simple, secure, standards-compliant and delightful authentication experience for both end users and developers. We work with NodeJS, React, golang, Swift, Java / Kotlin, Postgres/MongoDB databases and our services run on both AWS and Azure. Our tech stack continues to evolve and expand to new technologies and trends. We are proponents of using the right tools for the job. We are looking for an engineer who leverages AI coding assistants (e.g., GitHub Copilot, Google Gemini, Claude) to accelerate the software development lifecycle without compromising security. You should be proficient in using LLMs for rapid prototyping, boilerplate generation, and complex refactoring , effectively cutting down development time. Crucially, you must possess the judgment to audit, debug, and secure AI-generated code, ensuring it meets our strict authentication standards. You will use AI not just to write code, but to generate comprehensive unit tests, document systems, and simulate edge-case scenarios in our auth flows. As a member of the Native Apps team you will: Be a part of fast paced, agile team comprising of engineers, a

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