Senior Cloud Devops Engineer Jobs

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. The Platform Network Engineering Team Auth0 by Okta is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for over 100 million daily logins worldwide. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation. The Senior Software Engineer Opportunity You will be part of the Platform Network engineering team responsible for all connectivity of Auth0. You will play a key engineering role as we evolve our network architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access. You will get to work with engineers throughout the engineering organization. What you’ll be doing Implement internal and edge networking infrastructure and design solutions that work at global scale and with multi-cloud and multi-region constraints. Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc. Design and develop new services, tools, and automation to expose network functionality to other Okta engineering and operations teams. Research and implement solutions addressing cross-cutting concerns such as routing, failover, and scaling. Participate in the team’s on-call rotation. What you’ll bring to the role Have 3+ years of

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake’s Release Engineering team builds and operates the systems that safely deliver infrastructure, platform, and product changes to production at global scale. We own the release platforms, rollout orchestration, and safety mechanisms that allow engineering teams across Snowflake to ship quickly while minimizing operational risk. Our mission is to make production deployments fast, safe, self-service, increasingly autonomous, and augmented by AI-driven intelligence and automation. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale multi-cloud infrastructure orchestration. At Snowflake, Release Engineering is a platform engineering function focused on building the systems, abstractions, and automation that make software delivery safe, scalable, and efficient across the company. In this role, you will Design and build continuous deployment and rollout infrastructure that safely ships changes across Snowflake’s large-scale, multi-cloud production environment. Build and evolve platform capabilities for progressive delivery, including staged rollouts, canarying, automated health checks, rollback controls, and guardrails that reduce blast radius during production change events. Improve engineering velocity by removi

SPECIFIC JOB RESPONSIBILITIES Defensive Operations (SecOps): Design and automate the Security Incident Response (SIR) and Vulnerability Response (VR) lifecycles. Build playbooks in Flow Designer to automate threat containment and remediation. Offensive Operations: Develop custom scoped applications to track penetration testing results, manage red-team engagement lifecycles, and automate the ingestion of reconnaissance data. Compliance & GRC: Configure and customize Integrated Risk Management (IRM) modules to map technical controls to frameworks like SOC2, ISO 27001, HIPAA, and FedRAMP. Integrations & Orchestration: Build robust, secure integrations (REST/SOAP, IntegrationHub , MID Servers) with our XDR, SIEM (Splunk/Sentinel), and cloud-native services (AWS/Azure/GCP). Multi-Tenancy & MSSP Architecture: Architect a scalable, multi-tenant environment that ensures strict data isolation between clients while allowing for unified " ClickOps " and Terraform-driven automation. AI & Innovation: Explore and implement Now Assist (GenAI) and AI-heavy workflows to automate security reporting and incident summarization. Defensive Operations (SecOps): Design and automate the Security Incident Response (SIR) and Vulnerability Response (VR) lifecycles. Build playbooks in Flow Designer to automate threat containment and remediation. Offensive Operations: Develop custom scoped applications to track penetration testing results, manage red-team engagement lifecycles, and automate the ingestion of reconnaissance data. Compliance & GRC: Configure and customize Integrated Risk Management (IRM) modules to map technical controls to frameworks like SOC2, ISO 27001, HIPAA, and FedRAMP. Integrations & Orchestration: Build robust, secure integrations (REST/SOAP, IntegrationHub , MID Servers) with our XDR, SIEM (Splunk/Sentinel), and cloud-native services (AWS/Azure/GCP)

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. At Appian, we’re passionate about technology—we love making it, and we love using it. Joining Appian Engineering offers you the opportunity to learn in an environment that prizes cross-functional collaboration and is deeply committed to your professional growth. We aim to revolutionize the way people work by building a platform so intuitive that our customers can truly thrive. In the Senior Manager of Software Development role, you will provide technical leadership for a specific product area while directly driving the professional development of the engineers on your team. Key Responsibilities: The ideal candidate will manage development teams, oversee architecture decisions, and ensure scalable, high-quality delivery aligned with business objectives. This leader is expected to guide software engineers through solving ambiguous and complex problems. They will champion an AI-first approach and bring deep experience in migrating and modernizing legacy applications using cloud-native, modular architectures and emerging technologies. We are looking for someone with an established background in delivering highly scalable systems and a strong operational track record while working across multiple teams. This role provides the autonomy and ownership needed to innovate and solve the industry's most difficult problems. Leadership & Team Management Passion for mentoring and developing engineering talent: Lead and mentor a team of developers, architects, and analysts. Set very high standards for the team and in hiring talent. Manage end-to-end

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

We’re hiring a Sr. Customer Success Manager to turn new deployments into measurable outcomes for engineering teams using Coder. You guide customers from onboarding through renewal, clearing blockers, and aligning our platform to their goals. You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform Remove barriers to adoption so customers achieve their desired outcomes expediently Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions Oversee renewals and forecasting, ensuring timely, successful commitments Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve Monitor and report on customer health and usage Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC Hands-on experience with Salesforce and other industry-standard CS platforms History of building strong relationships across executive, business, and technical stakeholders Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams Habit of staying current on industry trends, CS best practices, and the competitive landscape Startup experience High EQ with strong verbal communication and technical writing skills Self‑motivated with a creative and analytical approach

Coder is looking for a Senior Product Marketing Manager to help us shape how we sell, position, and communicate the value of Coder to the market. This role will play a crucial part in enabling our sales team with compelling content, sales plays, and messaging that resonates with both technical and non-technical audiences. This is a senior-level role for someone with deep expertise in developer tooling and can translate technical concepts into persuasive, easy-to-understand messaging. You should have an understanding of the software development lifecycle, be familiar with cloud-native development, and have experience working with developer and platform engineering audiences. What you bring Deep technical expertise: You’re more technical than your average product marketer. You understand cloud-native ecosystems, developer workflows, and DevOps principles, and you can confidently communicate with technical and business audiences alike. Strong writing skills: You’re a skilled communicator who can write long-form and short-form content with equal precision. Whether it’s a whitepaper, a sales deck, or a tweet, you know how to deliver impact with the right amount of words. Sales experience & customer interaction: You’ve worked closely with senior sales teams and know how to create compelling narratives that resonate in the field. You’re comfortable interacting with customers, analysts, and prospects, ensuring our messaging meets market needs. Agility & prioritization: You can context-switch, moving between projects while maintaining high-quality execution. You know how to prioritize ruthlessly, balancing deep work with rapid-fire tactical needs. Self-sufficiency & asking for help: You thrive in an autonomous role where we trust you to do the right thing. But you also know when to ask for help if you’re overwhelmed; we value transparency and teamwork. Bias for action: You move quickly and experiment often, pushing forward without getting stuck in analysis paraly

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Senior Product Manager for AI and Automation PagerDuty is redefining how modern engineering and operations teams work. PagerDuty’s Automation Platform includes Workflows, Actions, Connectors, and a growing agentic layer built on Skills and Tools. This is the backbone of how teams eliminate toil, respond to incidents autonomously, and ultimately enable AI-native SRE agents. As Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products and lead the roadmap for the agentic automation experience we’re building for autonomous SRE agents. This is a high-visibility, high impact role that sits at the intersection of developer tooling, enterprise operations, and frontier AI product design. You will report directly to the Senior Director of Product Management for the AI & Automation group and will partner tightly with engineering, design, GTM, and enterprise customers. Key Responsibilities Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-p

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Senior Product Manager for AI and Automation PagerDuty is redefining how modern engineering and operations teams work. PagerDuty’s Automation Platform includes Workflows, Actions, Connectors, and a growing agentic layer built on Skills and Tools. This is the backbone of how teams eliminate toil, respond to incidents autonomously, and ultimately enable AI-native SRE agents. As Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products and lead the roadmap for the agentic automation experience we’re building for autonomous SRE agents. This is a high-visibility, high impact role that sits at the intersection of developer tooling, enterprise operations, and frontier AI product design. You will report directly to the Senior Director of Product Management for the AI & Automation group and will partner tightly with engineering, design, GTM, and enterprise customers. Key Responsibilities Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-p

As the Senior Product Manager for Network Path, you’ll own the vision, roadmap, and execution for how our customers visualize, monitor, and troubleshoot network traffic across complex hybrid and cloud environments. You’ll work closely with a diverse set of Network, DevOps, and SRE teams to understand how they manage their infrastructure, what challenges they face regarding network visibility and routing, and how our product can help them better observe, isolate, and remediate latency, packet loss, and connectivity issues across the public internet, cloud providers, and private data centers. In addition, you’ll work with product teams across the organization to identify opportunities to create integrated experiences—bridging the gap between infrastructure monitoring, application performance, and network health—and you’ll partner with engineers, designers, and go-to-market teams to drive adoption across thousands of customers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Define the strategy and pioneer new ways to visualize end-to-end network paths. You will determine how we capture, analyze, and map complex routing data to give customers a true hop-by-hop view of their network traffic. Own the core Network Path roadmap, ensuring deep coverage for cloud-native networking (e.g., AWS VPCs, Transit Gateways), SD-WAN, and traditional on-premise routing topologies. Explore ways to combine flow and metrics to provide a holistic view of network health and pinpoint the problem. Partner with Product Marketing to articulate the business value of network path monitoring, showing customers how improved visibility directly correlates to reduced MTTR and optimized cloud egress costs. Identify opportunities to build intelligent alerting and root-cause analysis c

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is growing quickly. You will play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. Role Overview: We're looking for a Staff Platform Engineer to serve as the technical backbone of our Engineering organization. You'll own the technical strategy, and delivery of our platform — spanning architecture, DevOps, SRE, security, Dev-ex. This is a hands-on staff level role: you'll set technical direction, drive cross-team alignment, and be the senior escalation point for platform challenges. What you’ll do: Drive platform reliability, scalability, security, and cost efficiency across all environments. Technical Leadership: Provide technical leadership for platform components, Influence the technical strategy and architecture of our cloud platform, from CI/CD pipelines to observability and incident response. Design and implement platform components and reusable integration patterns that minimize custom development efforts, reduce the time spent on repetitive tasks, and ensure that integrations scale across multiple healthcare systems Partner closely with Architecture, DevOps, SRE, and Security teams to deliver cohesive platform solutions Cross-Functional Collaboration: Work closely with product teams, and solutions architects to understand integration needs and ensure the platform meets current and future business requirements. Serve as a senior escalation point for infrastructure and platform incidents Establish frameworks for: AI governance and compliance. Observability of systems. Traceability of decisions and outputs. Ensure enterprise readiness with security, auditability, and reliability in production environments. Security & Compliance : Ensure all p

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two disciplines: large-scale distributed systems and machine learning. In this role you will help build and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll work alongside senior engineers on real production problems, learning how AI features go from a prototype to something that serves reliably at scale. We are looking for a candidate who is genuinely excited about building with modern AI — LLMs, agents, and retrieval — eager to learn how resilient, high-throughput systems are built, and motivated to grow into an engineer who is strong in both. What you’ll do Contribute to AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time data, with support and guidanc

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 seeking an experienced and technically influential Senior Software Development Engineer to join our Cloud Tooling and Pipelines team. This pivotal team is responsible for the design, development, and maintenance of our core Continuous Delivery (CD) platform (leveraging Spinnaker and custom tooling), Infrastructure as Code (IaC) execution engines (primarily Terraform), and a suite of supporting microservices. These systems are critical for enabling and managing our extensive resource footprint across AWS ECS and EKS . As a Senior Software Development Engineer, you will be a key contributor, driving the implementation of scalable, reliable, and secure software solutions that automate infrastructure provisioning and application deployments. Your deep expertise in software engineering principles and cloud-native development will be essential in building and enhancing our critical tooling for infrastructure provisioning, vulnerability management, and IaC deployments. You will also play a vital role in mentoring other engineers and influencing the team's technical roadmap. If you have a strong passion for building robust software systems that empower operational efficiency at scale, we encourage you to apply. Key Responsibilities Design and Develop Core Platform Components: Lead the design and development of scalable and reliable microservices and tools that form the backbone of Okta's Continuous Delivery (CD) platform (including components for Spinnaker,

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 As a Senior Internal Auditor reporting to the Senior Manager, Technology Internal Audit, you’ll help GitLab assess risk and strengthen controls across a technology landscape that includes multi-cloud infrastructure, artificial intelligence and machine learning systems, and modern development practices. This USA-based role supports our Sarbanes-Oxley Act (SOX) program while partnering with Engineering, IT Operations, Security, and business teams to build controls that work in practice, not just on paper. You’ll execute technology audits, turn findings into practical improvements, and use data analytics, au

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 10–15 years of experie