Senior Cloud Engineer Jobs

About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional

Title: Senior Site Reliability Engineer - I, Product Area Focus Location: Noida (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedit

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we’re hiring We’re growing the data engineering capability behind ad-tech solutions that process large-scale, real-time audience data. In this role, you’ll take deep technical ownership of the data model that supports targeting and measurement decisions for advertisers at scale. You’ll help evolve a complex, interconnected data platform while working with modern distributed processing technologies and a highly collaborative engineering team. Who you’ll be working with You’ll work closely with data engineers and colleagues across Quality Assurance, Analytics and connector teams. We value teamwork over ego, collaboration over competition, open and honest communication, strong opinions held with curiosity, and continuous improvement through kaizen. Our technology environment Scala-based backend services Google Cloud Platform (GCP) Apache Spark for large-scale distributed data processing Parquet and BigQuery Tyda, an open-source, automation-driven software development lifecycle process What you’ll do Own and evolve a core data model spanning input and output models, field types and partitioning strate

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: Our organization is embarking on a transformative journey to unify our global data landscape through a new central initiative. We are moving away from fragmented systems to a standardized, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlt), and GitHub Actions. As a foundational member of our central platform team in Chennai, you will be a hands-on builder responsible for bringing our strategic data blueprint to life. This is a role for an execution-focused engineer who loves building high-quality, governed, and reusable data assets that will be deployed across our global markets and wants to make a tangible impact on a global scale. This role combines data engineering along with an opportunity to enable next-generation AI. What you'll be doing: Develop, test, and deploy robust, scalable, and optimized data transformation pipelines using dbt and SQL on the Databricks platform. Design and maintain scalable dimensional models (SCD1/SCD2), implement advanced partitioning, and ensure high-performance query executio

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. In this critical role, you will be instrumental in designing, building, and optimizing our scalable data lakehouse platform using Google BigQuery or Databricks. You will be a key player in developing robust data pipelines that ingest data from various sources, including Google Analytics 4 (GA4), and transform it into reliable, analysis-ready datasets within the lakehouse environment. This role requires deep expertise in modern lakehouse platforms – Google BigQuery and/or Databricks – together with strong skills in SQL, Python, and Apache Spark (PySpark), along with strong hands-on experience across Azure, AWS, and GCP cloud environments, as our data ecosystem spans multiple cloud platforms. You will be responsible for the entire data lifecycle within the lakehouse, from ingestion and transformation to governance and optimization, ensuring data quality and performance. You should be adept at analyzing performance bottlenecks in Spark jobs and BigQuery workloads, providing enhancement re

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Senior Software Engineer to join our Network Engineering team to accelerate building and scaling our innovative systems that support our growing identity platform. In this role, you will build the next-generation infrastructure that underpins all systems at CLEAR. The ideal candidate for this role will approach challenges with an eye toward reliability, simplicity, and scalability. What You'll Do: Develop and maintain a streamlined process for engineers to effortlessly build and deploy scalable and reliable software-defined networking solutions on AWS. Enhance our compute platform (Kubernetes) by integrating new functionalities and features, focusing on AWS networking services and concepts such as VPCs, Route Tables, Security Groups (SGs), ALBs/ELBs, and Route53, as well as implementing Kubernetes networking solutions like service mesh (Istio) to optimize service communication and management. Collaborate across engineering teams to advocate for and implement best practices in observability, utilizing tools like Splunk or Datadog to ensure robust network monitoring. Act as a product owner for our infrastructure, collecting feedback and requirements from engineering teams to address pain points and develop solutions, particularly in the realm of AWS networking and cloud-native design principles. What you're great at: 6+ years of extensive experience in infrastructure and platform development, particularly in software-defined networking and AWS cloud services. Proficient in writing production-grade softwar

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team... The Securities Analytics and Products Group is responsible for developing and maintaining sophisticated software solutions to safeguard GoDaddy's ecosystem. We are seeking a dedicated Senior Software Engineer with a strong background in software development and a keen focus on security. The ideal candidate will have proven hands-on experience in software development, with a consistent track record of working with the latest software technologies while prioritising security best practices. As a key member of our engineering team, you will play a crucial role in designing, developing, and implementing secure software solutions to protect our organisation from cyber threats. You will get to work with some of the brightest minds to build secure, highly available, fault-tolerant, and globally performant microservices-based platform deployed on the AWS cloud, using the newest technology stack. While the role is primarily backend-focused, you'll also get opportunities to contribute to frontend features as needed, giving you exposure across the full stack. What you'll get to do... Design, develop, and maintain secure, highly available, fault-tolerant, and globally performant code deployed on AWS cloud. Ensure code quality through extensive unit and integration testing Own frontend features and UI components across projects on an as-required cadence, from design through delivery Investigate and resolve production issues, ensuring your team's DevOps on-call responsibilities Contribute to the technical documentation, code reviews,

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. Senior Software Engineer, Device Identity 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. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass , Okta Device Access (ODA), and Device Assurance . Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux and Android. Our organization is comprised of engineers who thrive at the intersectio

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 Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an experienced Site Reliability Engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting highly available customer-facing systems. Lead incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with engineering teams to improve service availability, scalability, performance, and resilience. Continuously improve observability through metrics, logging, tracing, dashboards, and alerting. Eng

Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own. The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages . We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine. Position Expectations Design, build, and deliver core components of the system in collaboration with other stakeholders Help shape architecture, development practices, and escalation policies as the teams and the product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization) 5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or

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 team: "Thriving on innovation, One97 delivers Customer Communication, Up-Selling, Mobile Content, Advertising based and Platform services to over 500 Million mobile consumers across the globe. Headquartered in New Delhi, and backed by marquee investors like Intel Capital, SAIF Partners, Silicon Valley Bank, SAP Ventures & Berkshire Hathaway, One97’s products and services are available on various models i.e. Capex, Opex & Revenue Share model as per the flexibility of Telco’s. Our Key Offerings are divided into 5 broad categories as follows: • Entertainment• Digital Platforms• CVM Solutions• Enterprise Services• Financial Platforms One97 has the widest and largest deployment of telecom applications on cloud platforms in India and has a myriad of VAS services that have helped operators augment their revenue even in complex markets like India, SAARC, Middle East, Africa and many more. About the role: Responsible for guiding teams towards continuous integration and continuous deployment; hence, he must have extensive knowledge of the automation tools and their application like Gradle, Git, Jenkins, Bamboo, Docker, Kubernetes, Puppet Enterprise, Nagios, Chef, and Ansible. The DevOps tackles our organization’s toughest technical problems and drives technical excellence at all levels, working with senior management to support the execution of the organization’s vision. The DevOps / Sr. Devops/ Lead Devops is a person who cares deeply about the technical side of operations and makes sure that everything is running smoothly for our applications. The ideal candidate understands technology deeply at both the server

Location Details: Pune At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join Our Team GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. Our Domains Investor team is looking for a senior software engineer to join us in building and improving the Domain Investing experience at GoDaddy. As a senior software development engineer, you will work in a scrum team assisting with user stories for a full stack, customer-facing product team responsible for GoDaddy's aftermarket domain services. We are seeking to scale out our services globally and make them as mobile responsive as possible. What you'll get to do... Contribute to building and improving backend services and APIs for GoDaddy’s domain investing platform Support development of responsive, customer-facing features, with opportunities to work across the full stack Write scalable, reliable, and cloud-ready code following engineering best practices Participate in debugging and solving well-defined technical problems within the team’s scope Collaborate in an Agile environment, contributing to testing (unit/functional) and iter

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. What you'll do There is no MSSP and no tier-1 queue here. Detection & Response engineers own their detections end to end: you write them, you tune them, and your team is paged when they fire. The security team is spread across the globe with a follow-the-sun pager rotation so nobody is paged at 3am local. The adversaries are real. The business is growing fast and the threat surface is growing with it. Defining the necessary telemetry is part of the job. Detection engineering Build and tune detections across endpoint, identity, SaaS, and cloud , treating them as software: version-controlled, peer-reviewed, and shipped through the same CI/CD practices the rest of engineering uses. Track detection quality as measured quantities : coverage against MITRE ATT&CK, precision, time-to-detect. We don’t build-and-forget here. Response & automation Own incident response: triage, contain, remediate, and write the retrospective that turns the incident into a systemic fix. Build automation that removes toil from investigations, and partner closely with the US-based team so context carries across time zones instead of getting lost at handoff. Telemetry & partnershi