Platform Engineer Jobs

About the Team Want to be the engineer who turns our Voice AI platform from a product into a production-grade solution inside a client's business? Then joining us as a Forward Deployed Engineer might be the perfect fit for you! When enterprises trust our voicebot AI to handle thousands of live customer conversations daily, onboarding them right and keeping things running smoothly isn't optional — it's mission-critical. Our FDE team is the technical backbone of every client relationship, responsible for taking clients from signed contract to successful production deployment and beyond. We operate with a strong ownership mindset. Our team moves fast, communicates clearly, and treats every client deployment like a product launch. We work closely with Product, Infra, Biz and Platform Engineering to ensure what we learn in the field shapes how we build. As a Forward Deployed Engineer, you'll work alongside a sharp, client-obsessed team who thrive on solving real-world problems at the intersection of Voice AI and enterprise operations. We know how to party as hard as we work! When we’re not solving customer problems, you can find us discussing the latest tech trends, sharing our favorite books and games, or simply unwinding over a hot cup of chai. If you want a role where no two days look the same and your work directly impacts how businesses talk to their customers, come join us! About the Role As a Forward Deployed Engineer in our Voice AI team, you will be the primary technical owner for client deployments on our B2B voicebot platform. You'll work directly with clients to understand their requirements, configure and deploy voicebot solutions, build customisations, resolve production issues, and ensure ongoing success- acting as the bridge between our platform's capabilities and the client's business needs. If you're someone who loves owning outcomes end-to-end, this role is built for you.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Vice President, Software Engineering Role Overview Mastercard is seeking a Vice President of Engineering to lead the Developer Workbench, a strategic platform designed to deliver a unified, AI-enabled, end-to-end software engineering experience across the enterprise. The Developer Workbench will bring together core engineering products, developer tools, AI-assisted coding capabilities, development environments, testing workflows, deployment pipelines, cloud development experiences, and developer insights into one cohesive platform. This leader will be accountable for transforming the Workbench from a set of disconnected tools and services into a productized developer experience that improves productivity, accelerates onboarding, increases adoption of modern engineering capabilities, and strengthens governance across the software development lifecycle. This is a senior engineering leadership role for a builder, integrator, and enterprise change leader who can operate across product, engineering, architecture, security, finance, learning, and senior technology leadership. ________________________________________ Key Responsibilities Lead the Developer Workbench Engineering Strategy • Define and execute the engineering strategy for the Developer Workbench. • Establish the technical architectu

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! AI Platform Engineering Location: Bangalore (Hybrid - in office at least 3 days/week) About the Role We are seeking an experienced and visionary technology leader to lead the development and scaling of our Operational AI platform capabilities. This role will own the strategy, architecture, delivery, and operational excellence of Couchbase AI Cloud Platform capabilities. This is a strategic leadership role at the intersection of distributed systems, cloud-native platforms, and AI. You will lead a large, multi-layered engineering organization responsible for delivering The Operational Data Platform for AI, while partnering closely with Product, Design, SRE, and Go-To-Market teams. Your leadership will directly influence company growth, customer adoption, platform reliability, and Couchbase’s competitive pos

Senior Container Security Engineer – CVE Remediation & Image Hardening About the Role We are looking for a hands-on Senior Container Security Engineer to lead vulnerability remediation and image hardening across Linux-based container environments. This role focuses on deep operating system and container security engineering rather than simple vulnerability scanning. You will analyze, remediate, rebuild, harden, and continuously optimize container images used in modern cloud-native platforms. You will work closely with platform engineering, DevOps, infrastructure, and security teams to build automated remediation pipelines, reduce the attack surface, and deliver production-ready hardened images. What You’ll Do - Own end-to-end CVE remediation across Linux-based container images. - Analyze vulnerabilities across OS packages, libraries, runtimes, and dependencies. - Patch, rebuild, validate, and maintain hardened container images at scale. - Reduce attack surface by removing unnecessary packages, binaries, services, and dependencies. - Build and scale automated remediation pipelines for continuous image patching. - Improve image security posture while minimizing operational disruption. - Generate, validate, and maintain SBOMs to support supply chain visibility and compliance. - Integrate remediation workflows into CI/CD and GitOps pipelines. - Optimize image size, startup performance, and operational efficiency. - Research emerging Linux, container, Kubernetes, and software supply chain threats. - Troubleshoot complex dependency, package compatibility, and runtime security issues. - Help define internal standards for hardened images and secure software delivery. What You Bring - 5+ years of experience in Linux systems engineering, platform engineering, DevSecOps, security engineering, or SRE. - Deep understanding of Linux distributions (Debian, Ubuntu, Alpine, RHEL). - Strong hands-on experience with Docker, Kubernetes, and

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects. If you’re a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat! What You Will Be Doing Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses Scale our terraform deployment across all of our Snowflake assets Continue to advance our data governance policies Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels Qualifications We Need Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks) Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success. Experience deploying data governance frameworks with a scalable and repeatable process Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that 3+ years of relevant experience wor

ROLE: SOFTWARE ENGINEER TEAM: MEDIA LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW Salt is a North American marketing agency that creates connected experiences through creative, digital & media innovation. Our mission is to “Earn The World’s Attention” and Salt is built to find, develop, execute, and amplify the ideas that are worthy of our clients’ audiences. We’ve structured our agency to do what’s right for our clients – to connect different perspectives, to work across mediums, and to focus on delivering meaningful, effective results. We’re committed to living up to the values in our name. “Salt of The Earth” means we value collaborative, humble, hard-working people here. We’re looking for people who are as smart as they are kind because we believe the right talent and the right culture help us do what’s right for our clients. ROLE OVERVIEW Join us as a Software Engineer building the next generation of AI products. This hands-on engineering role combines Platform Engineering, Security, and Software Development to create the cloud platform that powers our applications at scale. You'll spend approximately 50% of your time building secure, automated, and reliable infrastructure, and the other 50% developing innovative product features - working with the latest cloud, AI, and developer technologies to deliver solutions used across the organization. You will build, secure, and operate modern cloud-based applications and AI platforms, developing new product features while helping ensure our infrastructure is secure, scalable, and reliable. Working closely with product and engineering, you will develop new product features while managing cloud infrastructure, CI/CD pipelines, application security, and production operations across our AI platforms. CORE RESPONSIBILITIES Infrastructure & Data Platform Engineering Maintain efficient cloud Infrastructure, and development environments. Develop i

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. Lead development of AI-powered operations tooling and agentic infrastructure. Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: 5+ years of experience in DevOps, platform engineering,

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Senior Software Engineer(AI/ML),Trust - India The Community You Will Join: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform. The Difference You Will Make: As part of the Trust Engineering team, you will work in a team of talented software engineers to help us build intuitive & delightful experiences, strengthen our current offerings, and deliver new products to strengthen our Trust defenses. You will play a significant role in shaping the technical vision and delivering flexible, efficient and scalable solutions to stay on top of the ever evolving attack vectors and make Airbnb the most safe and trusted community. There are still many unsolved problems to tackle in both online and offline risk, and we're looking for talented engineers to solve

Job Details: Job Description: This position is in the Silicon and Platform Engineering, Platform and Experience Architecture, PXA team. This team is responsible for defining experience driven client platforms that delight customers and drive business success. This role is for the Platform Architecture Manager and leader of the Platform Workflow and Competitive Analysis team which exists to translate outside-in insights into platform requirements that define winning client PC experiences. Under a single-umbrella of leadership, PWCAs responsibilities are focused on integrating UX research, ecosystem engagement, competitive analysis, UX workflow development, and data collection into a single operating model that improves PXA's ability to make fast, evidence-based architecture and roadmap decisions. PWCA integrates diverse functions and expertise to uncover insights and translate a data-backed vision into actionable recommendations for complex technology and product roadmap decisions. Its leader must build a cohesive team, foster a strong culture, and establish a decision-making framework that aligns diverse projects and expertise in an open-ended environment requiring long-term, multidisciplinary research and analysis. The qualifications below reflect the experience and capabilities needed to succeed in this role. Experience Experienced managing 10-20 person teams with varied deep areas of expertise Intuitively grasps the unique timelines of IP, SOC, and Platform development and the key moments of intercepting different inputs into the development cycles Proven ability to apply user experience research methods and lead the collection, synthesis, and management of insights from users, customers, and ecosystem partners to inform platform and roadmap decisions Proven experience leading competitive analysis acro

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Corporate Engineering team is the infrastructure layer that keeps 1,500+ people connected, secure, and moving fast. AI is now central to how that happens, and this role leads the team that owns the backbone underneath it. Corporate Engineering owns the shared AI platform for Vanta's internal systems: identity and access for AI tools, cost visibility and controls, sanctioned tooling and guardrails, and the enablement that helps people use those tools well. We do not own product AI, which stays with Engineering, and we do not replace the AI work happening inside individual departments. We build the engineering layer that makes all of it safer, cheaper, and better supported. The company has moved fast. AI assistant use is widespread across every function, MCP infrastructure is live and self-serve company-wide, internal apps ship on a hosted platform, and AI spend has grown to the point where attribution and guardrails genuinely matter. What does not exist yet is a single owner for that platform layer. That is this role. As Sr. Manager, AI Engineering, you will lead a small, senior team, write the charter for what Corporate Engineering owns versus enables, and build the platform that lets the rest of Vanta adopt AI quickly without accumulating cost, risk, or duplication. What you’ll do as a Senior Manager, AI Corporate Engineering at Vanta: Lead, coach, and grow a senior team spanning platform engineering and technical program management. Set clear direction, hold a high bar, and give the team explicit permission to push back with data. Own the AI access layer end to end: identity and authentication for AI tools, connector

The IT Systems Engineering team builds the systems and processes that keep Asana running: endpoint management, identity, and the enterprise applications every Asana employee uses every day. As Manager of IT Applications and Client Platform Engineering, you’ll lead four engineers: two on client platform, two on applications. You report directly to the Head of IT Systems Engineering. This is a player/coach role: you set direction, run planning, and step in on escalations and architecture decisions while your engineers own most of the day-to-day. Your primary depth is in endpoint engineering; you have enough SaaS administration background to lead the apps side without micromanaging it. We’re looking for someone who knows endpoint work deeply and is ready to grow as a manager. Your title history matters less than technical foundation and how you work with people. This role is based in our San Francisco 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 develop your team. Manage and mentor four engineers (two on CPE, two on Apps). Set priorities, clear blockers, and help each person grow. Own the client platform program. Set strategy and lead execution for Asana’s endpoint fleet: macOS, Windows, and mobile. This means MDM infrastructure, zero-touch deployment, software catalog, and OS lifecycle. We’re primarily an Apple shop with a growing Windows footprint. Strengthen endpoint security. Work with the Corporate Security team to harden our endpoint posture, respond to incidents, and build initiatives that connect security priorities and endpoints. Oversee the applications engineering function. Your Apps engineers manage the

Integration Reliability Engineer, Technical Operations About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team APAC Payins TechOps is a newly formed team based in Singapore. Our charter is to improve the health and resilience of our payment acquiring volume, making it easier for Stripe to build and operate the integrations that support hundreds of billions of dollars in payments annually. Our team partners closely with payments and platform engineering teams to assess systems or processes that create high operational workloads, then develops durable solutions via code, tooling, data, and process improvements. We are responsible for the financial data quality of key systems at Stripe, ensuring that data is quarantined without impacting downstream systems while implementing the right changes upstream to prevent recurring issues. The team's work has a direct impact on Stripe's ability to expand into new markets and offer more sophisticated payment features to merchants. What you’ll do Responsibilities Scope and lead technical initiatives end-to-end: identify problems worth solving, propose the right solution approach, and deliver on that solution — not just execute on a pre-defined plan. Investigate problems in systems by tracing problems through Stripe’s stack. You’ll examine code, write SQL queries, read logs, and inspect data pipelines to understand system behavior, then make changes to address. Examine updates being made by Stripe’s financial partners to understand impact, and make the changes within Strip

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter As a Principal DevOps Engineer, you will provide technical leadership in the design, implementation, deployment, and support of cloud and platform engineering solutions that enable product development teams. You will partner across engineering functions to build scalable, reliable, and secure infrastructure while helping drive operational excellence through automation, observability, and continuous improvement. What You'll Do: Design, implement, and support cloud infrastructure solutions that enable the development and operation of Baxter products and applications. Manage infrastructure, platform, and deployment processes for product teams to ensure reliability, scalability, and performance. Deploy, manage, and troubleshoot containerized applications using Kubernetes and cloud-native technologies. Develop and maintain Infrastructure as Code (IaC) solutions using Terraform to automate infrastructure provisioning and management. Implement and support observability, monitoring, and alert

About the Job: As a Senior Sales Engineer , you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Indian market. You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes. You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices. Responsibilities: Partner with Sales to Win Enterprise Deals Work closely with Account Executives to qualify opportunities and develop technical account strategies. Help customers understand how feature management and progressive delivery can transform software delivery. Participate in complex enterprise sales cycles and help secure technical wins. Lead Technical Discovery and Solution Design Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges. Design solutions that demonstrate how LaunchDarkly integrates into modern development environments. Align technical solutions with customer business objectives. Deliver High-Impact Demos and Proof of Value Conduct compelling product demonstrations that highlight real customer value. Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials. Guide customers through the evaluation process and ensure successful outcomes. Build Champions and Trusted Relationships Develop strong relationships with both technical and business stakeholders. Enable customer champions who can advocate for LaunchDarkly internally. Support customers throughout the evaluation process and beyond. Be a Technical Thought Leader Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven d