Cloud Platform Engineering Jobs

Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We're seeking a Sr. Technical Program Manager! What You'll Do: We are seeking a Senior Technical Program Manager to join a growing PMO team, with focus on program delivery, driving portfolio management and operating model practices for Backblaze. Drive program planning and execution through program management best practices, manage risk and dependencies across multiple programs and teams Drive portfolio management practices as required, which includes overseeing the portfolio delivery pipeline across multiple projects, from incoming requests to evaluation/discovery to successful delivery Ensure cross-functional alignment on program goals, strategy, scope, timelines, decisions and outcomes Apply your “T” in TPM (technical skill set) as an active contributor in technical requirements and design conversations with the program teams Foster a culture of transparency and trust, apply lean value-driven approach, manage by influence, support and empower technical teams through servant leadership Ensure strong lines of communication and regular updates to stakeh

About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Staff Product Manager to join our team! About the Role: Backblaze’s B2 cloud object storage offers multi-exabyte, S3-compatible, globally available object storage that unlocks app builder innovation across AI neoclouds and traditional hyperscalers at a fraction of the cost from traditional cloud infrastructure hyperscalers. The Staff Product Manager for B2 will work closely with key stakeholders to understand the evolution of cloud storage and the customer problems in the space and determine product strategies and roadmap to address those problems. He or she will work independently to lead the efforts for new feature discovery and delivery and improvements to execute on those strategies. Understanding customer problems through interviews and market research and translating them into requirements is critical. What You’ll Do: Drive B2 product strategy and roadmap development through to delivery execution. Lead the end-to-end product development lifecycle from discovery through delivery in feature development. Gather and synthesize

About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100M in revenue and is the leading specialized storage cloud — managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Growth Marketing Director to join our team. About The Role The Director of Growth owns the self-serve revenue engine end-to-end — from top-of-funnel acquisition strategy through product-led growth, activation, and expansion — and operates with cross-functional authority across Product, Engineering, Marketing Ops, and our paid acquisition agency. This is not a funnel repair job or a lifecycle marketing role. It’s a growth leadership role for someone who thinks first about where new users come from, and second about everything else. What You’ll Do: Top-of-Funnel Strategy Own organic and paid acquisition strategy across all channels, including direct oversight of our paid acquisition agency — setting strategy, budget allocation, and performance expectations Drive developer community acquisition accross Reddit, Hacker News, dev-focused communities, technical content, GitHub presence, and DevRel-adjacent programs Product-Led Growth Own the PLG motion: product qualification logic, activation funnel design, self-serve to sales-led handoff d

About the Team The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure—owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. About the Role As a Performance & Systems Engineer on the Codex team, you will be responsible for whole-system optimization across a complex, evolving stack. Codex spans LLM inference, cloud orchestration, agentic work management, and multiple product surfaces. Your job will be to identify and land high-leverage changes—across infrastructure, modeling, and product layers—that make Codex agents significantly faster and cheaper to serve. We’re looking for generalists who thrive in ambiguity and love chasing performance bottlenecks to ground. This is a high-ownership role where your work will directly improve the experience of millions of users. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Hunt down and address inefficiencies across the Codex system stack, from agent behavior to LLM inference to container orchestration, and beyond. Build tooling to measure, profile, and optimize system performance at scale. Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost. You might thrive in this role if you: Have experience operating across both ML systems and cloud infrastructure. Enjoy diving into messy, ambiguous problems and emerging with clear wins. Think holistically about performance, balancing spee

The Storage Layer Services team is currently re-architecting the MongoDB Cloud Storage Layer. This is a relatively new team in MongoDB that sits at the heart of the next generation MongoDB Cloud Storage Architecture, and the team is working to build performant multi-tenant distributed storage services both to enhance our existing MongoDB cloud storage architecture and to power more of our customers' use cases more efficiently. Engineering at MongoDB is globally distributed, with a mix of folks being fully remote, hybrid, or in-office. We have a small but growing team that calls Sydney home, and we are looking for a Staff Engineer to join the team working closely with other teams in Sydney and North America. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies great engineering fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. We are looking to speak to candidates who are based in Sydney for our hybrid working model. You’re an ideal candidate if: You have 10+ years of experience in programming, debugging, and performance tuning highly concurrent and/or distributed systems. Especially if you have worked in a systems language (C, C++, Rust, etc) for a number of those years You have a track record as an effective technical leader. You love helping teams be successful at solving vaguely defined problems in iterative and measurable ways. You put the customer first, and don’t hesitate to cross team boundaries in search of the right solution You have a solid grasp of related systems fundamentals, such as cache management, log-based recovery, transactions or performance profiling You’re comfortable reasoning about highly concurrent, asynchronous services — backpressure, tail latency, and the failure modes of replicated state machines You’ve worked on large, highly availabl

Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Tenable's InfoSec team is looking for a Security Engineer to join our Security Engineering & Architecture group. This role was built deliberately to span disciplines rather than specialize in one: you'll split your time between securing our cloud environments and supporting general security engineering disciplines across the business — covering cloud and non-cloud systems alike. If you're early-career but curious across the breadth of InfoSec rather than narrowly focused on one domain, this role is built for you. Your Opportunity: Support day-to-day cloud security operations — monitoring, triage, and remediation of findings across AWS, Azure, and/or GCP environments using CNAPP/CSPM tooling. Contribute to Security Architecture Reviews for new systems, integrations, and vendor onboarding — regardless of whether the system in question is cloud-hosted, on-prem, or SaaS. You'll work directly with the architects and engineers who own this process today, learning the methodology and eventually taking reviews from intake to sign-off. Help identify and document misconfigurations, excessiv

About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency. Role Overview We are seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that make Backblaze B2 Cloud Storage a natural part of how AI workflows are constructed and deployed. This is a front-row seat to the AI ecosystem as it evolves, working directly with the latest AI startups, open source frameworks, and developer tools. This role is expected to actively use the latest AI coding agents and tools as part of everyday development work. The primary objective is to build and contribute production-quality open source integrations, new frameworks, and end-to-end example applications that demonstrate how B2 supports AI workflows. A practical understanding of AI workflows, agent-based systems, and data orchestration is required. This role demands continuous learning and hands-on testing of emerging AI frameworks and APIs as they mature, and is best suited for someone genuinely excited to work at the forefront of AI development. What You’ll Be Doing Use AI coding agents to build coding harnesses to accelerate the development, testing, and maintenance of public and internal applications, SDKs, notebooks, and reference implementations that demonstrate AI and cloud storage best practices. Implement and maintain open source AI integrations, frameworks and example applications using languages commonly used in the open source ecosystem, including Python, TypeScript, Go, and Rust. Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performa

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is looking for a highly motivated and experienced Staff Physical Design Engineer to drive the physical implementation of our next-generation semiconductor chips. In this role, you will play a critical part in translating complex microarchitectures into high-performance, power-efficient silicon. Working closely with cross-functional teams, you will own block-level and top-level implementation using industry-standard EDA tools, tackle complex timing closure and power challenges, and guide designs all the way from netlist to successful foundry tapeout. Key Responsibilities Drive block-level and top-level physical design, including floor-planning, placement, clock tree synthesis (CTS), and routing. Achieve aggressive timing, power, and area (PPA) targets through advanced timing closure techniques. Perform power grid verification and manage electromigration and IR drop (EM/IR) analysis and resolution. Develop and maintain automation scripts (Tcl/Python) to streamline design flows and methodologies. Collaborate with physical verification and foundry teams to ensure design rule compliance and successful tapeout execution. Qualifications and Requirements Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. 10–15 years of dedicated experience in physical design. Strong understanding of EDA implementation flows

NVIDIA is hiring an NCX Senior Engineer who is passionate about NVIDIA Cloud Partner (NCP) infrastructure operations to join our DSX team. This role involves working closely with strategic NVIDIA Cloud Partners to build and improve the operational capabilities essential for running large-scale NVIDIA accelerated infrastructure reliably in production. Your role involves guiding partners beyond the initial cluster deployment and validation phase into advanced Day 2 operations. These operations cover ongoing infrastructure health, observability, lifecycle management, quick remediation, performance validation, and operational readiness. You will engage directly with partner engineering and operations teams to develop consistent approaches that support NVIDIA workloads and the broader external customer environments of the partners. This is a highly technical, hands-on role at the intersection of NVIDIA accelerated computing, cloud infrastructure, distributed systems, and production operations. What you'll be doing: Lead NCP Day 2 operational readiness efforts. Collaborate directly with NVIDIA Cloud Partners to set up the systems, procedures, automation, and operational methods necessary to consistently manage NVIDIA accelerated infrastructure following initial deployment and activation. Build continuous infrastructure validation. Develop and implement methods to continuously validate GPU, CPU, storage, and network health. Do this across large-scale AI clusters to identify degraded infrastructure before it impacts critical training or inference workloads. Establish observability and operational telemetry. Help NCPs implement comprehensive telemetry, monitoring, alerting, dashboards, and operational signals across compute, GPU, InfiniBand/RoCE networking, storage, Kubernetes, and AI workloads. Devel

About the role We are seeking an experienced and detail-oriented Information Security and Cloud Security Auditor to join our team. The ideal candidate will have 3-7 years of expertise in data security and privacy control implementation, internal auditing, third-party risk management, cybersecurity governance, and cloud security (banking sector preferred). This role will be responsible for conducting comprehensive IT and cloud security audits, ensuring compliance with regulatory requirements, and enhancing our information security policies and procedures. Key Responsibilities -Conduct IT and cloud security audits across various domains, including IT General Controls (ITGC), Information Security Controls, Cloud Security, Network Security, Vulnerability Management, and Vendor Risk Assessments. -Assess compliance with relevant laws, regulations, industry standards, and organizational policies across both on-premises and cloud environments. -Develop and enhance information security and cloud security policies and procedures in alignment with industry best practices. -Maintain thorough documentation of audit findings, risk assessments, security measures, working papers, audit program checklists, and evidence for internal and external reporting. -Validate ITGC, cloud security, and application-specific controls and manage audit documentation, risk assessments, evidence gathering, and control testing. -Follow up on audit findings and ensure timely closure of non-compliance and security issues identified during audits. -Manage and oversee third-party risk assessments and audits, ensuring robust security controls are implemented across traditional and cloud-based service providers. -Lead and participate in the development, migration, and implementation of security controls and policies for network and cloud security solutions. -Conduct risk-based security assessments of internal, vendor, and third-party hosted environments, covering both traditional IT infrastructure and cloud

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Lead DFT Engineer Job Description: Developing silicon for edge-to-cloud computing isn't just about speed; it’s about balancing high-performance data processing with extreme power efficiency and reliability in remote environments. As the Design for Test (DFT) Lead, you will be the architect of our testing strategy, ensuring our data center chips are flawlessly manufacturable and resilient enough for edge deployment. Key Responsibilities: Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, Boundary Scan and MBIST. Edge-Specific Reliability: Develop strategies for In-System Test (IST) and power-on self-test (POST) to ensure chip health in remote edge data centers. Implementation & Flow: Oversee scan insertion, ATPG (Stuck-at, Transition, Path Delay), and Memory /Logic BIST. Cross-Functional Synergy: Collaborate with Design, Physical Design, and Yield teams to ensure high test coverage while minimizing area overhead and power impact as well as timing analysis . Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time. Technical Requirements: Experience: 12+ years in DFT, with at least 2 years in a leadership or principal role. Bachelor’s degree in a related field. Tools: