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System Verification Co Design Engineer in India

1,685 active opportunities · Updated October 2026

Explore current system verification co design engineer jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. We are looking for a Senior Automation Engineer to design and scale intelligent automation across Okta’s Enterprise Technology ecosystem. This role will reduce manual operational work, improve developer productivity, and accelerate the software delivery lifecycle across platforms such as Salesforce, NetSuite, AEM, Boomi, identity systems, CI/CD platforms, and other enterprise applications. The engineer will build reliable automation services, reusable integration patterns, and AI-assisted developer agents that understand source code, metadata, configuration, tickets, documentation, deployment history, and operational context. These solutions will automate release activities, identify deployment risks, reduce merge-conflict resolution effort, improve environment management, and enable safe self-service operations. The role requires a combination of software engineering, enterprise application expertise, API and integration development, CI/CD automation, security engineering, and practical experience applying AI to developer and operational workflows. The ideal candidate is comfortable moving between platform-specific technologies and building scalable, secure, platform-agnostic automation frameworks. What you'll be doing Intelligent Automation and Developer Productivity Build AI-assisted developer agents and automation services that reduce repetitive engineering and operational work. Use contextual information from Git repos

JavaScriptTypeScriptPythonJava
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

PythonSQLPostgreSQLMySQL
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. Company Description: Okta is an integrated identity and mobility management service. Built from the ground up in the cloud, Okta securely and simply connects people to their applications from any device, anywhere, at anytime. Okta integrates with existing directories and identity systems, as well as thousands of on-premises, cloud and mobile applications, and runs on a secure, reliable and extensively audited cloud-based platform. More than 5,000 customers, including Adobe, Allergan, Chiquita, LinkedIn, MGM Resorts International, Shire Pharmaceuticals and Western Union, use Okta to improve employee productivity, increase supply chain efficiency and revenue and improve compliance. The thousands of enterprises and cloud vendors, as well as the millions of people using Okta, are the foundation of the industry's fastest growing IT network for the cloud and mobile world. Okta is backed by premier venture capital firms Andreessen Horowitz, Greylock Partners, Khosla Ventures and Sequoia Capital. To learn more about Okta, visit: https://www.okta.com . Position Description: Okta Engineering is looking for a Software Engineer Manager to help us scale and increase velocity. You will be driving and perfecting our vision of Continuous Delivery, increasing the velocity and productivity of engineering. You will work with a wide range of stakeholders and partners, including Engineers, Architects, Operations, Program Management, and Quality. We have a gre

PythonJavaAWSGCP
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

PythonSQLPostgreSQLMySQL
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

PythonSQLPostgreSQLMySQL
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. Company Description: Okta is an integrated identity and mobility management service. Built from the ground up in the cloud, Okta securely and simply connects people to their applications from any device, anywhere, at anytime. Okta integrates with existing directories and identity systems, as well as thousands of on-premises, cloud and mobile applications, and runs on a secure, reliable and extensively audited cloud-based platform. More than 5,000 customers, including Adobe, Allergan, Chiquita, LinkedIn, MGM Resorts International, Shire Pharmaceuticals and Western Union, use Okta to improve employee productivity, increase supply chain efficiency and revenue and improve compliance. The thousands of enterprises and cloud vendors, as well as the millions of people using Okta, are the foundation of the industry's fastest growing IT network for the cloud and mobile world. Okta is backed by premier venture capital firms Andreessen Horowitz, Greylock Partners, Khosla Ventures and Sequoia Capital. To learn more about Okta, visit: https://www.okta.com . Position Description: Okta Engineering is looking for a Software Engineer Manager to help us scale and increase velocity. You will be driving and perfecting our vision of Continuous Delivery, increasing the velocity and productivity of engineering. You will work with a wide range of stakeholders and partners, including Engineers, Architects, Operations, Program Management, and Quality. We have a gre

PythonJavaAWSGCP
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. At Okta, our motto is "Always On" and nowhere do we embrace that more than in Technical Operations. We strive to build the most reliable and performant systems on the planet through the skillful use of automation. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. You will work on: ● Mentoring, managing, and leading a team of SRE’s with a broad range of expertise and experience. ● Being an evangelist and advocate for security best practices, leading initiatives and projects to strengthen our security posture for our most critical infrastructure. ● Responding to production incidents, driving us to remediation as quickly as possible and determining how we can prevent them in the future. ● Triaging and troubleshooting complex production issues to ensure reliability and performance. ● Working closely with our stakeholders across the organization to ensure our new capabilities are aligned to our competing constraints of reliability, security, and delivery velocity. ● Partnering directly with recruiting and people ops to hire and retain the best talent in the world. ● Keep sharp eyes on our metrics, including vulnerability scanning and security posture,&nbsp

JavaAWSCI/CDLinux
A
📍 India· Full-time· Remote
✓ Quality checkedCompany trend -61.1%

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: Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments organization at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments team, our goal is to build and operate scalable systems that power payments ecosystems, host/guest protections as well as community partner experiences applying core engineering principles that leverage both time-tested and cutting edge technology. The Difference You Will Make: As a Senior Staff Engineering for Payments, you will provide overarching guardrails on evolution of the architecture with special focus on Community Partner experiences, catering evolving business needs and coaching other engineers on the team. You will envision and design decision support systems, knowledge management systems as well as workflow orchestration systems that can harness various AI advancements. You will define and drive the architecture strategy, work on cross-functional teams to align on organizational initiatives, set standards and help in governance. You will be a player-coach; in that you will be hands-on when a situation arises (player mode) and hands-off where there is opportunity for other engineers to grow and gain experience (coach mode). A Typical Day: As a Senior Staff Software Engineer, Payments you will: Collaborate with other senior leaders to define and drive long-term technical strategy and architecture that enables the company’s future vision. Estab

S
📍 India· Full-time
✓ Quality checkedCompany trend -85.7%

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization The Core Infrastructure organization operates the foundational systems that power Stripe globally — including databases (MongoDB, PostgreSQL), high availability and disaster recovery (HADR), AWS cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, and network edge infrastructure. Within Core Infra, the Regional Enablement Platform (REP) team helps Stripe launch and operate new regions without learning about broken dependencies from users. REP builds the regionalization, validation, deploy-safety, and operator tooling needed to answer practical launch-readiness questions: can critical payment paths run from the new region, which services still depend on a remote control plane, what breaks under packet loss or failover, and what must be fixed before deploys, launches, traffic shifts, or failovers proceed. The team uses traffic replay, synthetics, failover drills, dependency analysis, CI/CD gates, and incident data to turn those findings into platform fixes, service-owner asks, and reusable readiness checks across networking, HADR, and service teams. This role is based in Bangalore and serves as a senior technical anchor for Core Infrastructure in India, with direct cross-region influence across AMER, EU, and APAC. What you'll do As a Staff Engineer on REP, you will play a key leadership role in enabling Stripe's infrastructure to power all of our products, globally and at scale. You will

SQLPostgreSQLMongoDBAWS
BA
📍 India· Full-time
✓ Quality checkedCompany trend -70%

We’re looking for an HR Associate to join our People Operations team at Bolna.ai . This is a hands-on HR Operations role for someone who enjoys working closely with employees, keeping processes smooth, and making sure the day-to-day employee experience runs seamlessly. What you’ll do Manage employee onboarding, documentation, and joining formalities . Prepare and manage HR letters, employee documentation, and records . Maintain accurate and up-to-date employee data across HR systems . Coordinate with HR and external vendors for employee-related processes and requirements. Support employee engagement activities, events, and team-building initiatives . Help drive smooth execution of day-to-day HR Operations and employee queries . Identify process gaps and help build simpler, more efficient HR processes as we scale. Who we’re looking for 6 months–1 year of experience in HR Operations / People Operations. Strong understanding of employee lifecycle processes and HR documentation . Excellent communication and interpersonal skills . Highly organised, detail-oriented, and comfortable managing multiple priorities. Proactive, dependable, and willing to take ownership and figure things out . Comfortable working in a fast-paced startup environment. Immediate joiners are preferred. Why this role? You’ll get hands-on exposure to HR Operations, employee experience, engagement, and people processes in a rapidly scaling startup. You’ll work closely with the People team and employees across the organisation, with the opportunity to take ownership, build processes, and grow with the company . High ownership. Fast learning. Real impact. Location: Bellandur, Bangalore Working Days: Monday–Friday

E(
📍 India· Full-time
✓ Quality checkedCompany trend -93.7%

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

PythonSQLAWSAzure
E(
📍 India· Full-time
✓ Quality checkedCompany trend -93.7%

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. Join Ema Unlimited, a pioneering company at the forefront of Generative AI technology. We are seeking a talented Product Designer to contribute to the development of Ema, our Universal AI Employee. In this role, you will design user experiences that simplify complex workflows and enhance productivity for enterprises globally. About Ema Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational

E(
📍 India· Full-time
✓ Quality checkedCompany trend -93.7%

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

PythonSQLAzureGCP
E(
📍 India· Full-time
✓ Quality checkedCompany trend -93.7%

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. In this role, you will: Collaborate with the sales leadership to understand customer requirements and enable technical solutions deployment based on customer needs. Develop an in-depth understanding of Ema’s technology and underlying architectures Deliver compelling product demonstrations tailored to the specific needs of potential customers, showcasing key features and benefits. Work closely with customers to execute successful PoCs, demonstrating the feasibility and value of Ema in their environment. Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. Collaborate with customers to design and architect solutions that align with their business goals, ensuring seamless integration with existing systems. Drive project teams towards common goals of accelerating the adoption of Ema’s solutions. Demonstrate and communicate the value of Ema’s solution throughout the engagement, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. Help take Ema’s solution from POC to production. Understand customers cloud/on-prem environment and their unique needs f

E(
📍 India· Full-time
✓ Quality checkedCompany trend -93.7%

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 we are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week. Who you are We are seeking an

PythonAWSAzureGCP
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