Platform Services Engineer Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer, Developer Infrastructure Coinbase’s Developer Infrastructure group builds the systems every Coinbase engineer relies on to write, validate, ship, and run code. We own the path from commit to production, including CI and build infrastructure, deployment platforms, and test systems that give engineers fast, trustworthy feedback. We’re hiring Senior Software Engineers across several teams in the group, and you’ll be matched to the team that best fits your strengths and interests. Wherever you land, you’ll build and operate foundational platform services used across Coinbase engineering, where improvements in build speed, deploy safety, and test reliability scale across thousands of engineers. This is high-leverage systems work with a high bar for reliability and security. What you’ll do <l

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

RDQ327R179 While candidates in the listed location(s) are encouraged for this role, candidates in other (US) locations will be considered. About the Team The Agentic Security Engineering team is a horizontal, shared services engineering team that enables every Databricks security function AI-native. We enable building the AI agents, "personas," and own the shared platform that security teams across the org (Detection & Response, Threat Intelligence, Vulnerability & Product Security, Red Team, GRC, and Continuous Monitoring) build on to operate at machine speed, safely and reliably. We leverage AI to transform how security is done. The Role As a Senior Staff Security Software Engineer on the Agentic Security Engineering team, you will be a senior technical authority and architect for Databricks’ shared Security AI platform. You will define the platform architecture, technical standards, and multi-year engineering direction that allow security teams to build, deploy, and operate governed AI personas safely at scale. Your work will span secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks and security infrastructure. You will operate across organizational boundaries, aligning engineering and security leaders on platform architecture, driving adoption of common patterns, and resolving complex technical problems that affect multiple security functions. You will influence the quality, safety, reliability, and velocity of the broader Security AI ecosystem without owning the domain logic or business outcomes of every individual persona. The Impact You Will Have Shared Security AI Platform Architecture Define and evolve the architecture for the shared Security AI platform and its paved road for governed agentic workflows. Establish reusable patterns for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement

At MongoDB, we are transforming industries and empowering developers to build amazing applications that people use every day. We are a leading developer data platform, helping organizations build, scale, and operate modern applications. MongoDB Technical Services partners with customers to help them successfully run MongoDB in production. Our globally distributed organization provides 24x7x365 support through a follow-the-sun model, combining deep technical expertise with a strong commitment to customer outcomes. We are looking for a Manager, Technical Services to lead and grow a team in Gurugram. This leader will manage engineers supporting customers across MongoDB’s database, cloud, and emerging application-platform capabilities. The role is well suited to a people leader who can build a high-performing, inclusive team; lead complex customer situations; and partner effectively with Engineering, Product, and go-to-market teams. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. The role As a Manager, Technical Services, you will lead a team of highly skilled support engineers. You will create the conditions for excellent customer outcomes, develop technical and people leadership capability within the team, and help scale the support model for evolving customer workloads. Your team will support a broad range of technologies, including MongoDB database and cloud services, distributed applications, APIs, cloud infrastructure, observability, and modern AI-enabled application workflows. You will help establish durable operating practices for a fast-growing area while ensuring seamless collaboration with the wider global Technical Services organization. What you’ll do Lead, coach, and develop a team of Technical Services Engineers, including regular 1:1s, clear goals, performance feedback, career development, and succession planning Build an inclusive, accountable, and customer-focused team culture where engineers can do their b

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testin

Senior Product Manager, Platform Full-Time | Reports to VP of Product I SF Bay Area or NYC Metro Area About Canopy Canopy is one of the fastest-growing companies focused on workforce safety in healthcare. Backed by leading venture investors, Canopy is transforming how hospitals protect and support frontline staff through its Connected Safety Platform, combining wearable safety technology, real-time location intelligence, intelligent alerting, and managed services built specifically for healthcare environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Today, more than 70 leading health systems and 1,000 healthcare facilities rely on Canopy to protect frontline staff, improve emergency response, strengthen employee confidence, and support workforce retention. We are scaling rapidly, expanding our product portfolio, and partnering with some of the most recognized health systems in the country. This is an opportunity to join a high-growth, venture-backed company at a pivotal stage, where you can make a meaningful impact on both the business and the safety of healthcare workers nationwide. The Role We're looking for a Senior Product Manager to own the platform capabilities that power every Canopy product. This includes shared platform services, APIs, the real-time location platform, enterprise integrations, reporting and analytics capabilities, and the foundational infrastructure that enables scalable product delivery and customer deployments. This is a high-impact, deeply cross-functional role for a PM who thrives at the intersection of technical depth and product strategy. You'll work closely with engineering, product, data, and customer-facing teams to define platform strategy, prioritize investments, and deliver capabilities that power Canopy’s products. What You’ll Own You'll define the vision, strategy, and roadmap for the platform cap

The Consumption Based Billing & Licensing (CBBL) team builds the systems that decide what customers can access, what they've purchased, and what they've used. We own the infrastructure behind licensing, entitlements, and usage-based billing for Asana's newer products and add-ons — making sure customers get the right paid features, usage is tracked accurately, and admins have clear ways to understand and manage their accounts. As Asana expands its product surface and pricing models, the systems we build directly shape how the business grows and how customers experience the value of what they've bought. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Lead and grow a team of engineers working across backend systems, platform services, and customer-facing experiences. Set technical direction and help shape the roadmap for licensing and billing capabilities. Partner closely with Product, Design, Data, Finance, Sales, and other engineering teams to turn ambiguous business needs into shipped solutions. Drive execution on projects such as: licensing and access control usage tracking and billing admin dashboards, alerts, and controls bulk and automated license assignment trial and add-on provisioning flows Make thoughtful trade-offs across scalability, reliability, correctness, and speed of delivery. Coach engineers, support their growth, and build a high-performing team culture. Communicate clearly with senior stakeholders and explain technical decisions in business-friendly terms. About you: Strong engineering management experience, ideally at the level of leading a team through complex prod

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. 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: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

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. Location: Bellevue, WA Engineering Manager, Cost Intelligence We are looking for an experienced Engineering Manager to lead the Cost Intelligence engineering team. In this role, you will own the technical vision and execution for the features and systems that help Snowflake customers understand, monitor, and optimize their Snowflake consumption and spend. You will lead a talented team of engineers building the data products, APIs, and platform services that power cost visibility, usage analytics, budgeting, and cost optimization insights across Snowflake's platform. You'll work closely with Product Management, Design, Data Science, and cross-functional engineering teams to ship world-class cost intelligence capabilities to Snowflake's customer base. As manager for the Cost Intelligence team, you will: Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning. Drive the roadmap for Cost Intelligence features — including cost allocation, resource budgeting, anomaly detection, and optimization recommendations — in partnership with product management. Set technical strategy for backend systems, data pipelines, and APIs that surface cost and usage insights to customers at massive scale. Own delivery end

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. About the Role We are looking for a Senior Manager, Software Development Engineering to lead our Common Platform Services team within the Zero Trust Exchange division. This team spans across all Zscaler products, driving core platforms such as Zscaler Workflow Automation, the Unified Authorization service, and other critical shared enterprise services. In this role, you will play a pivotal part in delivering scalable, secure, and high-performing platforms and developer tooling to empower engineering teams across the organization. You will focus on enhancing platform efficiency, scalability, and developer experience while managing, mentoring, and growing senior technical talent. What You’ll Do Drive Technical Roadmap & Execution: Lead the workflow engineering team to drive the technical roadmap, scale engineering talent, and guarantee flawless operational execution Foster Cross-Team Collaboration: Demonstrate strong cros

NVIDIA's DGX Cloud (DGXC) powers AI for strategic research and product workloads. The company seeks a Senior Technical Program Manager (TPM) to lead complex, cross-functional programs powering NVIDIA’s next-generation AI software platforms. In this role, you will drive software initiatives across platform services, cloud infrastructure, and system integration. The focus is on enabling scalable, reliable, and supportable software for AI workloads. You will be responsible for managing high-impact engineering programs within a dynamic, fast-paced roadmap, aligning priorities across teams, and ensuring timely, high-quality delivery. This role requires strong technical competence, a proactive approach, and the ability to operate effectively across multiple levels of the organization. This is a software-first TPM role. The ideal candidate has extensive experience managing software initiatives. They also understand the full-stack environment, including infrastructure dependencies, system bring-up, integration readiness, and operational needs to support software across stack layers. What You'll Be Doing: Lead end-to-end execution of software platform initiatives, including planning, execution, delivery, and operationalization. Work together with software, infrastructure, product, and operations teams to ensure alignment on goals, deliverables, achievements, and schedules. Lead cross-functional initiatives encompassing cloud-native services, platform software, system integration, and release delivery. Help connect software roadmap execution to full-stack readiness, including dependencies across infrastructure, bring-up, validation, and downstream operational support. Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues. Establish clear success metrics and reporting mechanis

(GAQ427R230) About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio. The impact you will have Drive analytics and modeling to understand how platform spend scales Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions. Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches. Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products. Establish robust KPIs and operations to achieve unit economics goals Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers. Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets. Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals. Scale cloud finance operations and systems Bring systems-level thinking to cloud FP&A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic. Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business co

Your challenge As an Azure Cloud Architect, you are responsible for designing, implementing, and optimizing our cloud-based solutions. This role requires a deep understanding of cloud architectures, DevOps practices, security, scalability, and automation. You interact with development, security, and infrastructure teams to build robust, high-performing, and cost-efficient cloud environments. You work together in close collaboration with our Platform Architects and our Platform Operations team, which oversees our cloud infrastructure. You are responsible for: Designing and implementing scalable, secure, and high availability cloud solutions. Defining best practices for security, compliance, operations, and reliability. Building infrastructure as code and automation. Optimizing cloud workloads for cost, performance, and scalability. Training and mentoring junior engineers on cloud practices and operations. About you Essential talents and qualifications: A Bachelor’s or Master’s degree in a field related to Computer Science. 6+ years of work experience in cloud engineering, architecture, or DevOps. Expertise with Microsoft Azure. Comprehensive experience with Kubernetes, Terraform, Docker, and container orchestration. Strong problem-solving skills and the ability to work in a growing and fast-paced environment. Hands-on experience with CI/CD pipelines. Bonus points if you have: Cloud certifications. Experience with leading a small team. Experience with Helm, Ansible, and other automation tools. Customer support experience. Programming and scripting skills. Soft skills · Team player · Problem solver · Creative mindset Hard skills · Microsoft Azure · Kubernetes · Ter

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead , you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments. In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure , as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams. This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams. What You’ll Do: Cloud Security Engineering Lead configuration hardening across GCP , with additional oversight of workloads and integrations running in AWS and Azure . Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows. Secure critical SaaS platforms , ensuring proper configurations, access controls, and engineering integrations. Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services. Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity. Assess secure logging configurations across c

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. We are a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Hybrid working 2 days a week at our offices in Amsterdam Responsibilities Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam, Identify, design, and develop foundational backend services that power Together’s commerce platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements Ideally 1-2 years of leading the Infrastructure team. Demonstrable backgro