Senior Data Reliability Engineer Jobs

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 Deputy Manager, AI & Platform Engineer to join our team. This is a Hybrid role in Mohali, reporting to the Senior Manager – Analytics & Insights in the FP&A department. As Deputy Manager, you will be the technical owner and architect for next-generation Finance AI Platform - building a secure, extensible internal platform that powers Finance dashboards, workflows, and AI-assisted insights. What you’ll do (Role Expectations) Architect, build, and own the production-grade AI Platform supporting multiple Finance modules, executive dashboards, and interactive workflows Implement enterprise-grade security, Okta SSO, RBAC mapping, and clean backend API service boundaries for seamless extensibility Manage governed data-serving pipelines, schema design, and caching strategies (API query and semantic caching) to ensure high performance and data fallback reliability Integrate AI assi

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Reliability Supplier Industrialization Engineer focused on avionics, printed circuit board assemblies, and harnessing to qualify, develop, and scale suppliers that produce reliable electrical hardware to engineering, manufacturing, and system requirements. You will translate avionics design intent into capable assembly processes, supplier controls, inspection methods, and production-readiness evidence. This role spans Electrical Engineering, Avionics, Supply Chain, Quality, Manufacturing, Test, and suppliers from early design reviews through prototype, qualification, production, and field support. The work is hands-on and requires regular engagement with electronics assembly, harness fabrication, inspection data, functional test, and supplier process development. Key Responsibilities Lead supplier industrialization for avionics assemblies, PCBAs, cable harnesses, and related electrical hardware from design release through production readiness. Support avionics design reviews by identifying assembly, testability, component, soldering, routing, and harness-integration risks. Develop commodity FMEAs, supplier qualification requirements, control plans, inspection methods, and acceptance criteria for critical elect

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role: We are looking for a Senior Software Engineer - Data Platform to help build and evolve the data platform that powers critical business decisions and customer-facing experiences. You will own significant parts of our data architecture that is main powerhouse of DevRev Computer’s memory for accurate and efficient Answers. As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data requirements into reliable, high-quality data products. This role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization . You will have significant technical ownership and the opportunity to influence the direction of our agentic data platform while helping raise the engineering bar across the team. What you'll do: Own data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost. Design, build, and operate scalable data pipelines and data systems that reliably ingest

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. Team Leadership: Lead, mentor, and grow

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Center Network Engineering (DNE) is a pod within the Physical Networking team and owns the design, deployment, and operation of Roblox's large-scale data center network. This includes server-layer connectivity, intra and inter-DC connectivity. The team is building High-Performance Networking (HPN) fabrics, deploying 400G/800G networking, and scaling GPU clusters to support AI training and inference. You will: Drive the design, deployment, and operations of Roblox's large-scale data center network, including the networking for GPU clusters that support training and inference workloads. Design, qualify, and validate new technologies and hardware for scalable solutions. Coordinate data center builds and projects with multiple teams, including weekly cross-team calls. Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early. Contribute to automation and telemetry that improve efficiency, reliability, and visibility. You have: 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS). Experience with GPU clusters or AI/ML networking. Proficiency deploying and managin

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Center Network Engineering (DNE) is a pod within the Physical Networking team and owns the design, deployment, and operation of Roblox's large-scale data center network. This includes server-layer connectivity, intra and inter-DC connectivity. The team is building High-Performance Networking (HPN) fabrics, deploying 400G/800G networking, and scaling GPU clusters to support AI training and inference. You will: Drive the design, deployment, and operations of Roblox's large-scale data center network, including the networking for GPU clusters that support training and inference workloads. Design, qualify, and validate new technologies and hardware for scalable solutions. Coordinate data center builds and projects with multiple teams, including weekly cross-team calls. Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early. Contribute to automation and telemetry that improve efficiency, reliability, and visibility. You have: 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS). Experience with GPU clusters or AI/ML networking. Proficiency deploying and managin

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for a million of registered users across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new DevOps Engineer you'll join Squad Matrix based in Copenhagen, reporting to Jesper, working to build Lunar's governed self-service data platform alongside our data platform and analytics engineers. Matrix owns Hubble, the internal data platform that makes data usable across Lunar. Your focus won't be on building pipelines or analytical products. It'll be on the infrastructure, deployment mechanisms and operational capabilities those systems depend on. You'll make running data workloads feel like a well-engineered platform rather than a collection of individually operated systems. What will you do? Build and maintain data-specific Kubernetes capabilities for workloads like Flink, Kafka, and distributed databases — including operators, lifecycle management, storage integrations and workload isolation Create standardised CI/CD pipelines, GitOps workflows and deployment automation so engineers can build, test and ship data infrastructure with confidence Own observability and reliability for the data platform — metrics, tracing, dashboards, SLOs and automated health checks that make production understandable and operable Reduce manual operations through infrastructure automation, data-specific Infrastructure as Code and internal tooling that solves common problems once at the platform level Partner with data platform engineers and the wider platform organisation to extend shared foundations for data-intensive, stateful workloads — so the rest of the t

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. Senior Software Engineer Overview 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. As a Senior Software Engineer working on the Appian platform, your mission will be to ensure Appian is always fast, scalable, and up to whatever tasks our customers configure it to do. You will solve problems of scale and flexibility that most engineers never see, building a product capable of serving our customers in ways you never imagined. In this role, your scope extends from the high-performance data layer to the cross-platform user interface and design tools. Team Description The Platform Engineering team is at the center of building Appian’s high-throughput, enterprise-grade architecture. This is a squad of builders operating at the intersection of full-stack engineering, distributed systems, and real-time data processing. We don't just write code; we architect the foundational engine that powers mission-critical applications worldwide. We build, optimize, and maintain high-performance software, empowering enterprise organizations to execute complex, high-volume workloads with speed, resilience, and quality. In this role, you will: Engine for Reliability & Scale: Manage the availability, latency, scalability, and overall efficiency of the product by designing high reliability and fault tolerance directly into software and systems. Resolve & Prevent Emergent Issues: Respond directly to high-impact technical challenges, writing robu

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Reliability? Roblox serves over 100 million people every day across a platform that is constantly evolving — and behind every experience is infrastructure that has to work, every time, at massive scale. The Reliability team at Roblox operates at the depth and breadth of the Roblox stack. Availability of the platform is a key company goal. We are hiring our first Senior Machine Learning engineer within our team. As a Senior Machine Learning Engineer within Reliability, you will help set the direction for how machine learning systems/practices can be leveraged to improve the reliability of the overall Roblox platform. You will own the architectural and execution roadmap of leveraging massive data across - logs, traces, metrics, production changes, to proactively detect issues before they become real problems (MTTD) and/or reduce time to resolve incidents (MTTR). You will have the opportunity to cross functionally collaborate with other similar teams at Roblox to define best practices and software. You will: Help define the roadmap for leveraging Machine Learning Engineering to improve Production Systems Reliability at Roblox. Improve r

Omada Health is on a mission to bend the curve of chronic disease. Job overview: We are dedicated to leveraging data to drive strategic decision-making and operational efficiency. Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights. We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products. Key Responsibilities: Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform. Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing. Training: You'll train and collaborate with teammates effectively in data engineering best practices Technical Influence/Leadership: Recommends p

About the Team Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role The Data User Platform and Programs team works at the intersection of data infrastructure, reliability, governance, developer tooling and AI systems, supporting thousands of internal data users including engineers, analysts, data scientists and business stakeholders. This role is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform’s long-term architecture. You will work on systems such as: Platform foundations for reliability, observability, cost-efficiency and compliance A unified data discovery and catalog experience AI-powered assistants and workflows for analytics and operations You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem. You’re excited about this opportunity because you will… Improve scalability, performance, and reliability of data platform services through strong engineering practices Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources Embed cost awareness into the data lifecycle , including: Designing systems that encourage reuse over duplication Instrumenting usage and cost signals in

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Key Responsibilities Validation Execution Lead end‑to‑end Validation Run execution in a high‑pressure, fast‑paced environment , ensuring on‑schedule starts/completions , risk‑aware re‑plans , and efficient IQP/ETV material usage . Own time‑bound data crunching pipelines (automated log parsing, metrics aggregation, anomaly ranking) and deliver decision‑ready summary reports and sightings by agreed Cycle Time . Guarantee coverage completeness across MBIST and Native flows; drive Hot/Cold corners , TSV screen/AQLK , async timing boundary coverage, and evidence‑backed closure . Platform Leadership Develop and debug test programs on SM3/Cobra and Advantest V93K ; enforce code quality, reviews, and release discipline. Align hardware configs ( handler, socket, loadboard, probe card ) to test intent and throughput targets. Advanced Analysis, Verilog Simulation & Automation Perform power/thermal characterization ; correlate IDD/thermal data with performance/reliability; author recommendations for content changes and silicon fixes. Architect and execute