Senior Data Cloud Engineer Jobs

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is seeking a Senior Security Engineer to design, implement, and operate enterprise Data Loss Prevention and Secure Access Service Edge capabilities. The role will reduce data exfiltration risk, enable secure access to web, SaaS, private applications, and cloud services, and improve security coverage. You will be a senior individual contributor and subject matter expert, within the Enterprise Security team and will closely partner with IT, Network Engineering, Legal, Privacy, Compliance, and application owners. Success requires hands-on engineering, design, operational ownership, and clear risk communication. A day in the life (Responsibilities) Data Loss Prevention Engineering Own the DLP engineering roadmap and control lifecycle, from requirements and architecture through proof of concept, testing, phased deployment, tuning, operations, and continuous improvement. Design and operate controls for sensitive data across managed endpoints, email, web and network channels, SaaS and collaboration applications, cloud environments, and data repositories. Build and maintain data discovery and classification logic using sensitive information types, regular expressions, data matching, document fingerprinting, OCR, and machine learning where appropriate. Translate requirements into precise policies and response actions with documented exceptions. Establish safe policy rollout practices with test cases, pilot groups, change control, user impact analysis, exception review, and measurable acceptance criteria. Triage and investigate DLP alerts and incidents, determine root cause and business context, coordinate containment and remediation, and reduce false positives without weakening protection. Integrate DLP with SASE services, SIEM/SOAR platforms, MDM, ticketing systems, data classif

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Sales Engineer, Enterprise to join our team. This is a Hybrid (Gurgaon) role, reporting to the Senior Manager, Sales Engineering in the SE India department. You will join a global group of professionals passionate about driving a secure, cloud-enabled digital future as a leader in cloud security. You will demonstrate the power and agility of cloud transformation by aligning with regional leadership and engineering to deliver strategic solutions that solve complex customer challenges. What you’ll do (Role Expectations) Provide technical thought leadership and advice to enterprise customers on how to transform their digital experience Take total ownership of the technical sale and associated processes Identify and qualify technical opportunities while developing and maintaining trusted advisor relationships with key customer stakeholders Deliver impactful sales pitches, technical presentations

Position summary: The Senior Security Engineer position will be part of the Enterprise Security organization consisting of IAM professionals across several technologies. This specific position will have a specialized role in directory services and SaaS applications! It will focus on large implementations of Entra ID with integrations with other directories, IDPs, applications, and automated workflows. We give technical direction, administer tools, and provide support for various security technologies. We participate in driving Enterprise Security projects that use our cloud directory services for various internal and external Adobe services. We work with other specialists, architects, security teams, and software engineer teams across Adobe and collectively provide services, guidance, and strategies that protect services and data as well as adhere to various global government regulations. You will work with business customers, management teams, infrastructure teams, development teams, project managers, and other security teams to help implement the vision, structure, standards, and plan solutions that support the future architecture. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists! You will also be surrounded by colleagues who are committed to helping each other grow through our Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe is the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. Primary Responsibilities May Include, but Are Not Limited To: Managing deep an

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Software Development Engineer reporting to the Director, Software Engineering to join our Client Connector Team. As a Senior Staff Engineer, you'll own critical service-layer components such as RPC, user session handling, data pipelines and help make CCA(Client Connector Agent) more stable, performant and maintainable. What you’ll do (Role Expectations) Design and implement features across the CCA service, user-mode UI, and supporting subsystems (RPC server, session handler, data handler, tunnel telemetry). Diagnose and fix complex production issues: service crashes, race conditions, lifetime bugs, and cross-process synchronization problems. Improve reliability of long-running Windows service code, including cleanup/shutdown paths and inter-process communication. Work on VDI-specific flows (e.g., ZCC VDI SMB tunnel traffic accounting, session lifecycle). Review peers' code, raise the q

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Site Reliability Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Engineering in the Production Engineering and Reliability team in India. You will own the reliability and operational integrity of a global fleet spanning GCP, AWS, and bare-metal infrastructure — building self-healing automation, hardening provisioning workflows, and embedding observability into every layer of the platform. What you’ll do (Role Expectations) Develop production-grade automation in Ansible, Go for bare-metal provisioning, IPMI/Redfish-based hardware lifecycle operations, and autonomous remediation Design and implement fault-tolerant provisioning systems with self-healing and auto-remediation capabilities Develop telemetry pipelines for hardware and system monitoring — integrating metrics, logs, and distributed tracing (Pro

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Position Summary We are hiring a Software Dev Engineer to design, build, test, and deploy AI-powered applications. You will work across the full application lifecycle — from architecture and implementation through automated testing, CI/CD deployment, and production monitoring — building features that put large language models and agentic tooling to work inside SonicWall's internal systems. This is a hands-on engineering role for someone with 6–8 years of professional software development experience who is comfortable owning services end to end: writing production-quality code, integrating LLM and agentic APIs, standing up reliable data and retrieval pipelines, and shipping through a disciplined test-and-release process. You will collaborate closely with senior engineers, product stakeholders, and platform teams to turn requirements into dependable, well-tested applications. Key Responsibilities Develop AI applications: Design and build features and services that use LLM and agentic capabilities — prompting, tool/function calling, retrieval-augmented generation (RAG

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. 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 As a Senior Site Reliability Engineer (SRE) / DevOps Engineer you will be responsible for ensuring the stability, performance, scalability, and reliability of Redwood’s mission-critical SaaS platform. You will apply engineering principles to operational challenges, automate repetitive work, strengthen observability, and collaborate across teams to deliver a resilient and high-performing customer experience. Provide day-to-day management of system alerts, monitor system health, and escalate issues as necessary to maintain high availability. Participate in a 24x7, team-shared on-call rotation for critical SaaS platform incidents and provide support during emergencies. Lead incident response efforts to ensure fast and effective mitigation and resolution of production issues. Perform thorough Root Cause Analysis (RCA) and lead blameless post-mortems to identify systemic weaknesses and establish corrective actions that prevent recurrence. Collaborate with engineering teams to establish and enforce error bud

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac