Software Certification Engineers Jobs

Software Engineer–Developer, Phantom Works Weapons (Associate or Experienced) — 2 Locations. Apply via Workday.

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. Core Services builds the foundational services and software infrastructure behind Roblox’s global platform. Our work includes the C#/.NET and Rust frameworks, shared libraries, and runtime integrations that engineers use to build and operate production services. As a Principal Software Engineer on the Core Services team you will solve problems spanning distributed systems, concurrency, memory management, API design, and developer experience. You will improve the performance and reliability of our C# ecosystem, expand our Rust infrastructure, and develop shared components and interoperability patterns across both languages. Your work will help teams adopt better foundations safely, with improvements that compound across Roblox’s service fleet. This role combines hands-on systems engineering with technical leadership. You will work with service owners and infrastructure partners to turn complex platform capabilities into reliable, usable building blocks, and own their evolution from design through production adoption. You Will Build and evolve shared C#/.NET and Rust frameworks, libraries, and SDKs, including HTTP/gRPC infrastructure, caching, configuration, and observability. Investig

About the Team The ChatGPT Velocity team owns the health of the end-to-end developer and deploy loop for ChatGPT-facing services. Our mission is to help ChatGPT engineers ship confidently with a fast, lightweight development cycle and a trusted path to production. ChatGPT development depends on a long chain: local environments, Bazel builds, CI, tests, merges, release candidates, deploys, synthetics, alerts, and production health. When any link is slow, flaky, or unclear, engineers lose hours, fixes reach users later, and on-call load rises. This team turns that cross-cutting drag into owned, measured, and durable improvements. About the Role We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production. This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured systems. In this role, you will: Reduce local development startup and iteration latency for ChatGPT engineers Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations. Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns. Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Come join the AI team at Zynga making an impact across all of the company's games - Central Technology! As a Software Architect you will be responsible for the technical vision, design and implementation of AI-powered tools and systems that elevate developer productivity and player experiences at scale. We're looking for outstanding engineers with a passion for artificial intelligence and the desire to work in a team with dynamic strengths. What You'll Do: Design and architect scalable AI systems, full stack applications, and cloud infrastructure running in AWS with a focus on LLM-powered services and agentic workflows Own cross-cutting architecture decisions and the technical strategy for AI tools that multiple game studios and engineering teams across Zynga depend on Establish and uphold engi

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 Product Okta’s Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. The Team The Organizations team is expanding Auth0 to help B2B SaaS applications easily manage access for their own customers and partners, at scale. We make it possible for enterprise SaaS users to log in with the right set of permissions within the right context, and for our B2B customers to onboard access for their customers easily. Our work is cross-cutting and always heavily customer driven. We work in NodeJS (JavaScript and TypeScript) and use PostgreSQL for our data needs. Our services run on AWS and Azure and we lean heavily on containers for both our development and production needs. If you have keen eye for good user experiences and enjoy solving hard problems at scale we can’t wait to talk to you. What you’ll be doing Collaborate with engineers both inside and outside the team to design and deliver powerful new enterprise functionality for our SaaS customers - both for the login flow itself and for Auth0’s direct and self-service management capabilities Every now and then, help drive improvements to shared stacks o

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resol

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify an

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to user

About the Team The Experimentation Platform Team develops a state-of-the-art platform in industry that enables Product Engineers, Data Scientists, ML Engineers and non-technical audiences to come up with hypotheses; design, configure and analyze experiments; and conduct exploratory and causal analysis. At DoorDash, where we run thousands of experiments per year, our mission is to equip all decision makers with rigorous, data-driven insights by democratizing experimentation with quality and velocity. The team consists of a mix of experienced veterans of backend, web, statistical and data infra engineers and work closely with the data science community. Some of the interesting work done in the team was published in articles such as: Meet Dash-AB-The Statistics Engine of Experimentation at DoorDash Supporting Rapid Product Iteration with an Experimentation Analysis Platform The 4 Principles DoorDash Used to Increase Its Logistics Experiment Capacity by 1000% Improving Online Experiment Capacity by 4X with Parallelization and Increased Sensitivity About the Role If you want to solve the toughest engineering challenges, build cutting-edge experimentation products under rigorous operational constraints (high volume, correctness guarantees) and work with some of the smartest people in the industry, DoorDash’s Experimentation Platform is the right place for you. As a full stack engineer, you’ll build across our backend services, SDKs, and the Decision Portal UI used by thousands of internal users. Come join us and be part of the mission. You will report into the engineering manager on our Decision Experience team as part of the Decision Systems team. We expect this role to be hybrid (San Francisco, Sunnyvale, Seattle, New York) with some time in-office and some time remote. What You'll Do Work on dramatically enhancing and simplifying the Experimentation platform which is used by almost every engineer in the company. Have the opportunity to build a new Experimentation platf

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. As a Backend Engineer, you will have the independence, opportunity, and end-to-end responsibility to help us build a critical, complex set of backend systems that support the creators of games and other experiences within our Roblox ecosystem. The Creator Success Team empowers Roblox to be the best development platform for creating 3D social experiences, allowing our creators to publish compelling content within the Roblox ecosystem. This includes services and solutions around the Creator Hub, Developer Forum, and Creator Dashboard. You will create and own mission-critical services in this cross-discipline team within our Roblox ecosystem. As a team, we believe in fast iteration and are biased toward action while keeping the long view. We have numerous exciting projects ahead of us for the years to come, including but not limited to: Build ML-driven services and large scale data pipeline to drive player insights and optimise monetization opportunities for creators Build next generation communication platform providing creators with powerful tools to manage the player community, organize virtual events, and collect player feedback Build a state-of-the-art remote configuration/experiment plat

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 Engine Networking Team pulls players together by ensuring the game state is communicated to all, ensures the world those players share actually shows up — the right bits, at the right time, without hitches. As an Engineering Manager for Engine Networking, you will lead and empower a team of engineers who help players experience the game as a nearly synchronous world that streams in seamlessly. Just as the nerves in our bodies coordinate our actions and the bloodstream delivers what every cell needs, the network system coordinates all the computers involved while the asset pipeline delivers the content that brings the experience to life. You will oversee the architecture, execution, and career growth of engineers working across real-time state synchronization and end-to-end asset delivery in your quest to communicate every part of Roblox to every player, as fast as physically possible. You Have: Managed, led, or mentored engineering teams working on high-performance, low-latency network infrastructure or content-delivery/asset-streaming systems in client/server environments. Experience driving execution and architectural roadmap for complex multithreaded systems that connect millions of

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Ads Manager team builds the core self-serve platform that brands, agencies, and retailers use to create, manage, and optimize their advertising campaigns on Instacart. We own the campaign creation flows, creative management, reporting dashboards, and design system foundations that power it. We are hiring a Senior Frontend Engineer II (L6) to co-own the technical roadmap for our advertiser-facing experience, modernize our frontend architecture, and scale complex campaign management and reporting interfaces while elevating our component library, design system, performance, and accessibility across the platform. You’ll partner closely with Product, Design, Backend, and Data Science teams to build reusable UI abstractions and deliver high-impact features across pillars such as Campaign Activation, Creative & Reporting, Design System & Platform, Per

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for experienced, product-focused software engineers for our Driver Earnings Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers. As a Software Engineer for Driver Earnings, you will lead multiple work streams that improve drivers' experience with rideshare. In addition, you will focus on incentivizing drivers to prefer Lyft, building differentiated pay products and features for the thing that drivers care the most about - their earnings. As an engineer on our team, you'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to increase the adoption & usage of Lyft. Responsibilities: Partner with product managers, engineers, and operators to build driver earnings related infrastructure and products. Design and analyze experiments; communicate results and act on launch decisions Work with cross-functional partners in the Driver Experience and Marketplace so earnings related data is available and usable by the various systems that need this data. Work on tooling that makes it easier to make changes to driver earnings related configurations. Experience: Degree in Computer Science or Computer Engineering (advanced degrees preferred), or relevant work experience Proficiency in SQL - able to write structured and efficient queries on large data sets Experience in programming, especially in Python and/or Golang (preferred but not required) Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners B

Role Purpose The Software Procurement intern is responsible for overseeing the end-to-end lifecycle of global software assets, software procurement processes, and supplier contracts at Thoughtworks. This role ensures cost efficiency, streamlined workflows, timely supplier payments, regulatory compliance, and seamless cross-functional collaboration across GITS, InfoSec, Finance, Accounts Payable, and Legal departments. Key Responsibilities Learn and work closely with Software Procurement Lead on below mention responsibilities: 1. Procurement Operations & Purchase Management End-to-End Workflow Optimisation: Direct and analyse the efficiency of software procurement processes, from request ingestion to inventory updating Coupa Platform Management: Initiate supplier onboarding forms, monitor supplier statuses until active, and create/publish Purchase Orders (POs) and Virtual Contracts in Coupa Requisition Approvals: Act as the designated Global Procurement Approver and authorise high-value requisitions (e.g., JetBrains, LinkedIn Sales Navigator) on behalf of the Global Software Lead. Manage Credit Card Spend: Manage monthly or annual subscriptions that are on credit card and submit weekly expense reports in Expensify; allocating cost accurately.Manage multiple domain registrars: Register and renew domains, working closely with LegalAWS account provisioning: Work closely with CloudOps team on provisioning / deprovisioning AWS accounts including management of login credentials 2. Vendor Relationship & Renewal Management Vendor Coordination: Manage direct communication with major global SaaS vendors (e.g., JetBrains, LinkedIn, Snowflake, Sisense, Pearson VUE) regarding quotes, order forms, and payment terms. Renewal Pipeline Tracking: Partner with external procurement platforms to monitor renewal deadlines, evaluate license needs, coordinate stakeholder feedback, and schedule retirements of legacy software. 3. Financial & Budget Governance Invoice & P

MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate: Has 2-5 years of professional software engineering experience Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) Has the ability to iterate fast, specially in the case where requirements are not clear Keeps up with emerging AI tooling and models, not just what's already mainstream Collaborative, detail-oriented, and passionate about developing usable software Bonus Round: Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines Experience designing systems or services used by other engineers or teams Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) Familiarity with transformer architecture and model internals Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those