Platform Engineering Lead Jobs

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. The Role: We are looking for a Senior Quality Engineer - AI to help shape how StarRez evaluates, validates, and improves AI-powered product experiences. You will play a pivotal role in elevating our quality practices for AI-powered product experiences and tooling. You will be a product expert within our engineering organization, deeply understanding workflows and customer outcomes. This role will balance hands-on individual contributor responsibilities with leading, influencing, and coaching your peers. You’re someone who is passionate about seeing systems holistically and is eager to drive the highest standards of accuracy, safety, usefulness, and reliability. You will help define what "good" AI output means for StarRez, build repeatable evaluation systems, coach reviewers and subject matter experts, and turn subjective feedback into measurable product improvement. You will work at the intersection of AI engineering, product, and domain knowledge — partnering with engineers, product managers, and SMEs to raise the bar on how StarRez evaluates, monitors, and improves AI tools. Key Responsibilities: Lead or contributed to end-to-end AI quality and evaluation strategy for product experiences involving LLMs, RAG, prompts, tool-use, or agent workflows. Provided quality-focused input during ticket grooming, discovery, and feature discussions, with clear guidance on testability, ob

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Staff Security Operations Engineer , you will own and continuously mature capabilities across Attack Surface Management, Vulnerability Management, Zero Trust, Secrets and Credential Security, Detection Engineering, and Security Automation . This is a hands-on role requiring strong security engineering expertise combined with the ability to build teams, establish operating processes, measure outcomes, and drive remediation across Engineering, Cloud, Infrastructure, and Product organizations. You will partner closely with GISO leadership and global security teams to translate security strategy into measurable execution and risk reduction. WHAT YOU’LL DO Lead and mature enterprise Attack Surface and Vulnerability Management capabilities across cloud, infrastructure, endpoints, applications, and internet-facing environments. Drive risk-based vulnerability prioritization using asset criticality, exposure, exploitability, known exploitation, threat intelligence, and compensating controls. Establish operating processes, remediation SLAs, KPIs/KRIs, dashboards, and governance to measure and drive security risk reduction. Identify systemic security gaps and develop scalable technical and operational solutions. Provide technical leadership across Zscaler/Zero Trust, secrets and credential security, SIEM/detection engineering, EDR, cloud security, and security automation. Drive automation and integrations using APIs, sc

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Engineer, the selected candidate will build and ship AI-powered tools alongside a small, technically focused team. This is a hands-on engineering role: the candidate will write Python, work with LLMs and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on. Guidance will

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. What are we building We are building a full-stack AI Agentic Platform that powers customer, sales and internal workflows end-to-end. Core capabilities are including but not limited to: *Multi-agent, multi-modal customer interactions. *Agents which can handle agent decision hubs. *Evaluation engines to score and diagnose interactions. *Generating insights from chat to improve SOP, Tools and Product *Flow Fine-tuning & deployment pipelines *Observability with agent telemetry systems Safety, governance, and cost optimization layer. What are we looking for We are looking for builders who have a passion for building great products and have demonstrated this through their projects in recent years. Competencies * Create explainable workflows for multi-agent systems * Design and operate evaluation systems for millions of conversations * Fine-tuning of language models and its deployment workflows * Architect low-latency pipelines for text/voice interactions * Ensure safety, auditability, and compliance by design * Partner with stakeholders including PM, Engineering, Design, Data Scientists, Ops, and Analysts to ship features across business lines * Create standards for prompt design, prompt improvement, agent traits, and safety checks * Build APIs, SDKs, and runtimes for agent execution * Mentor juniors and contribute to platform-wide thought leadership * Experience with multi-agent frameworks (AutoGen, LangGraph, Haystack, ReAct, Supervisor-Executor patterns) * Background in LLM ops including training, data pipelines, GPU scheduling * Experience with Voice & telephony integrations * Knowledge of safety model design o

Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact—building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come. In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs 18-24 months ahead of current development cycles. What Makes This Role Unique: This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI-native applications. If you light up at the challenge of seeing around corners in infrastructure and can hold your own in technical debates about consensus protocols while keeping the team focused on customer value—this is your role. This role can be based out of our San Francisco office or remotely in USA region. Role Responsibilities Contribute to the Future of Search Infrastructure: Drive the long-term technical vision for MongoDB Search, anticipating emerging patterns in vector, hybrid, and AI-native applications to build conviction around platform investments 12–18 months ahead of market demand Champion the Customer & Innovation: Act as the voice of customers building mission-critical AI applications, using deep technical discovery to uncover latent needs around scalability and consistency, ensuring our architecture leads the industry in

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is seeking a Principal Solutions Consultant to join our talented, customer-focused team! You will be a key strategic leader and the "technical face" of PagerDuty across the US region. This is a high-impact role that sits at the intersection of Sales, Product, and Engineering. You won’t just be selling a platform; you will be partnering with CTOs, CIOs, and VPs of Engineering at the US’s most influential enterprises to redefine how they manage digital operations, resilience, and automation. You will act as a bridge between our customers’ long-term strategic needs and PagerDuty’s product roadmap. You will spend your time evangelizing the PagerDuty Operations Cloud, mentoring our high-performing technical sales teams, and acting as a trusted advisor to the C-suite on topics ranging from AIOps and SRE maturity to digital transformation and cloud migration. Key Responsibilities Act as a peer and advisor to customer CTOs and CIOs, helping them navigate complex digital transformations and operationalizing the PagerDuty Operations Cloud within their organizations. Represent PagerDuty as a thought lea

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. Develop test programs of SSD and UFS controller products, and enhance test coverage to ensure excellent outgoing quality and customer satisfaction. Optimize test programs to reduce product test times and manufacturing cost by improving the efficiency of the testing methods . Automate test engineering processes by writing software scripts to improve efficiency. Work closely with product and equipment engineering teams to improve overall product yields and equipment efficiency to maximize ROI. Work closely with design teams to develop design for test features to drive lower costs and increased efficiency Develop and monitor process and engineering metrics to ensure stability, efficiency and effectiveness of test processes. Bachelor’s or master’s degree in Electrical Engineering/Computer engineering. Strong interest in software development with good programming skills. Knowledge of any of the following is desirable: Python, C/C++, Visual Basic, Perl. Prefer candidates with digital, analog, and mixed signal test programming and debug experience. Familiar testing IP blocks such as PLL, efuse, LDO’s, PCIe, DDR, ONFI, and DFT patterns implementation ATPG SCAN, TDF, MemBIST & repair, JTAG, and functional patterns Test program development experience on logic ATE tester platform such as UltraFlex/J7

Who We Are About Stripe At Stripe, you have an unprecedented opportunity to put the global economy within everyone’s reach. 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. About The Team The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We work with C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe. We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers and Product Teams to develop and execute on the account strategy for Stripe’s platform prospects. What You’ll Do As a member of the team, Solutions Architects/Presales Engineer build highly consultative trusted relationships with C-level executives and technical decision makers in the customer’s organization to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they can drive new monetization opportunities and growth. Responsibilities Be a key member of the Platform account team with deep involvement in defining the customer strategy; Identify and close new complex opportunities, and accelerate solution adoption. Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments. Work to deeply understand the customer’s business objectives, and then design and apply

Who We Are About Stripe At Stripe, you have an unprecedented opportunity to put the global economy within everyone’s reach. 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. About The Team The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We work with C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe. We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers and Product Teams to develop and execute on the account strategy for Stripe’s platform prospects. What You’ll Do As a member of the team, you will build trusted relationships with C-level executives and technical decision makers in the customer’s organization to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they can drive new monetization opportunities and growth. Responsibilities Be a key member of the Platform account team with deep involvement in defining the customer strategy; Identify and close new complex opportunities, and accelerate solution adoption. Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments. Work to deeply understand the customer’s business objectives, and then design and apply Stripe solutions to their challenges. Develop and

Who we are About Stripe At Stripe, you have an unprecedented opportunity to put the global economy within everyone’s reach. 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. About the team The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We work with founders, C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe. We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers Product, and Engineering teams to develop and execute on the account strategy for Stripe in market. What you’ll do Your mission is to uncover the deepest levels of customer pain and desired outcomes, going beyond surface-level requirements. By truly understanding their strategic business objectives, you will architect and tailor Stripe's solutions as the definitive answer to their most pressing challenges. You will be instrumental in mapping the customer's transformation journey, crafting future-state roadmaps and solution architectures that inherently factor in complex third-party integrations. Responsibilities Execute meticulous technical discovery, conducting in-depth business analysis and background research on customer operations, industry dynamics, and competitive landscapes to build a foundational understanding that informs every proposed solution. This goes beyond fact-finding; it's about understanding their "why." Lead strategic engagements, guiding users through a structured disco

Who We Are About Stripe At Stripe, you have an unprecedented opportunity to put the global economy within everyone’s reach. 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. About The Team The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We work with C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe. We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers and Product Teams to develop and execute on the account strategy for Stripe’s platform prospects. What You’ll Do As a member of the team, Solutions Architects build highly consultative trusted relationships with C-level executives and technical decision makers in the customer’s organization to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they can drive new monetization opportunities and growth. Responsibilities Be a key member of the Platform account team with deep involvement in defining the customer strategy; Identify and close new complex opportunities, and accelerate solution adoption. Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments. Work to deeply understand the customer’s business objectives, and then design and apply Stripe’s so

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We’re seeking an experienced Engineering Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture. As an Engineering Program Manager/ Technical Program Manager, you will: Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners. Optimize: Break down complex issues into strateg