Lead Full Stack Software Development Engineer Jobs

What We’re Looking For: We’re looking for an architect to lead the design and implementation of the inter-wafer scale-up network. Connecting very high bandwidth and high capacity wafers into a “super-system” will enable previously unprecedented capabilities for the AI industry. Ideal Background: Deep knowledge of networks, especially knowledge of tradeoffs and advantages of different network topologies for different workloads and applications Understanding and ideally experience in implementation of network protocols Understanding of AI workloads and their network design implications (eg message sizes vs latency, bandwidth, hops, etc) Nice to Have: Hands-on experience with architecture and design process of either switch or NIC chips Hands-on experience designing AI networks Experience in tradeoffs between different network protocols for AI applications Experience in large-scale AI clusters Experience in large-scale optical network fabrics, especially with issues around reliability/RAS

Who we are 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 revenue, and create new business opportunities. Our mission is to increase the GDP of the internet. The work ahead is substantial, which gives you the opportunity to help put the global economy within everyone’s reach while doing some of the most meaningful work of your career. About the team Early careers is a critical part of Stripe’s long-term talent strategy. The University Recruiting team helps shape the company we become by building the systems, programs, and hiring partnerships that bring exceptional interns, apprentices, and new graduates to Stripe. As University Recruiting Manager, you will lead and develop a team of University Recruiters while owning the strategy and delivery of intern and new graduate hiring across Stripe. This is a high-visibility leadership role with a wide stage: you will work across every line of business and role type, partner with leaders throughout the company, and turn ambitious hiring goals into thoughtful, durable programs. You will also help lead Stripe’s global internship and apprenticeship programs, including onboarding, intern experience, and employee-relations escalations. What you’ll do University Recruiting at Stripe is not a transactional recruiting function. This role goes well beyond attending a career fair or filling individual roles. You will set direction for an early careers strategy that supports Stripe’s business needs today and builds the talent pipeline we will need next. You will bring strategic judgment, a builder’s mindset, and a deep commitment to craft. You will balance the operational rigor required to deliver at scale with the creativity to design programs and experiences that are clear, useful, and memorable. You will use data to understand what is working, where we are falling short, and what

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Manager of Sales Development to join our team. This is a Hybrid (Dallas, TX) role, reporting to the Director of Sales Development in the SDR department. You will oversee a Sales Development Representative team focused on pipeline generation and lead qualification. In this position, you will actively recruit and onboard representatives, coach the team through call reluctance and rejection, and optimize the outbound tech stack to serve as a crucial bridge between marketing and sales. What you’ll do (Role Expectations) Develop SDRs into sales-ready candidates, training them to identify, contact, and create qualified lead opportunities Monitor SDR dashboards to ensure data accuracy, track progress against goals, and identify opportunities for team development Motivate, incentivize, and recognize team members to encourage top performance Define performance-driven metrics and expectations for pipeline cr

About the Role We're looking for a Head of Competitive Intelligence to build and lead a world-class competitive intelligence function. This person will transform market signals into strategic advantage by developing the frameworks, analysis, and insights that inform our product strategy, go-to-market approach, and executive decision-making. This is not a research role. It's a highly cross-functional strategy role that sits at the intersection of Product, GTM, Research, and Leadership. You'll establish the systems, operating cadence, and analytical rigor that help the company understand where we win, where we're vulnerable, and how the market is evolving. What You'll Do Build and own the company's competitive intelligence strategy and operating model. Develop and maintain comprehensive competitive assessments, including Harvey Ball analyses, feature matrices, product comparisons, pricing analyses, and market landscape reviews. Create executive-ready competitive insights that influence product strategy, roadmap prioritization, pricing, and investment decisions. Build best-in-class objection handling and competitive messaging for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding, and GTM motions, synthesizing complex information into clear strategic recommendations. Establish repeatable processes and tooling for collecting, validating, and distributing competitive intelligence across the company. Partner closely with Product Management to inform roadmap decisions and identify areas of strategic differentiation. Collaborate with Marketing to sharpen positioning and messaging based on competitive dynamics. Support executive leadership with board-ready competitive analyses and market briefings. Build dashboards and reporting that track competitive movements and emerging industry trends. Develop frameworks that evaluate competitors across capabilities, enterprise r

Role Description Dropbox is seeking a Vice President of Revenue Operations to define and lead the operating strategy for the company’s global B2B go-to-market organization. This executive will be responsible for building a high-performing, scalable revenue engine that enables predictable and efficient growth across SMB, Mid-Market, and Enterprise segments while supporting Dropbox’s evolution across product-led, sales-assisted, and enterprise motions. This leader will serve as a key strategic partner to the Chief Business Officer and broader executive leadership team, translating company strategy into the operating model, planning frameworks, systems, insights, and execution mechanisms required to deliver durable growth. The role will own Revenue Operations and Marketing Operations across the customer lifecycle, ensuring tight alignment between demand generation, pipeline creation, sales execution, retention, expansion, and overall revenue performance. The VP of Revenue Operations will have enterprise-wide accountability for revenue planning, forecasting, segmentation, capacity and coverage strategy, incentives, GTM systems, analytics, operating cadence, and revenue productivity. This leader will play a central role in shaping how Dropbox allocates resources, evaluates performance, scales new products and motions, and modernizes its GTM organization through data, automation, and AI. Responsibilities Define and lead Dropbox’s global revenue operating strategy, ensuring the company’s GTM model is designed to support long-term growth, efficiency, and increasing enterprise complexity Serve as a strategic advisor to the Chief Business Officer and executive leadership team, bringing data-driven insights and recommendations to critical decisions around growth, investment, resource allocation, organizational design, and GTM strategy Own the end-to-end revenue operating model across Sales, Marketing, Customer Success, and Support, including segmentation, coverag

About the Role: We are seeking an experienced Risk Management professional to lead and strengthen the organisation's Operational Risk and Outsourcing Risk Management framework. The role will be responsible for identifying, assessing, monitoring, and mitigating operational and third-party risks across payment products, merchant acquiring, cross-border payments, and outsourced business operations. The incumbent will work closely with business, operations, compliance, technology, audit, and leadership teams to ensure adherence to regulatory requirements, network guidelines, and internal risk policies. Key Responsibilities Operational Risk Management: Develop, implement, and enhance the Operational Risk Management (ORM) framework, including Risk and Control Self-Assessments (RCSAs), across the organisation. Identify, assess, monitor, and mitigate operational risks arising from payment operations, merchant onboarding, transaction processing, and customer servicing. Drive corrective action plans arising from RCSA findings and control gaps. Monitor Key Risk Indicators (KRIs), operational losses, incidents, and control effectiveness. Lead root cause analysis and remediation for operational risk events. Own SOP and policy lifecycle management — including drafting, versioning, and periodic review — for all operational risk policies and procedures. Outsourcing Risk Management: Manage end-to-end outsourcing risk governance for third-party vendors involved in KYC verification, PAN validation, customer onboarding, payment processing, and other critical functions. Maintain and operate a vendor categorisation framework (IT/Non-IT, critical/non-critical outsourcing) and ensure risk assessments are calibrated to vendor tier and exposure. Ensure compliance with RBI Outsourcing Guidelines, PA Master Directions 2025, and all applicable regulatory requirements. Conduct vendor due diligence, risk assessments, performance reviews, and periodic audits. Monitor SLA adherence, control ef

We're looking for a Senior Manager of SW Tools Development to lead an organization built on two closely connected pillars: AI-powered tools and agents, and the test infrastructure, data pipelines, and process automation that engineering and business teams rely on every day. You'll bring deep knowledge of large language models (LLMs) and applied AI, and use it not only to build new AI-driven products but to find where AI can meaningfully upgrade test infrastructure, data pipelines, and automation — the overlap between these areas is where some of your team's highest-leverage work happens. Beyond building the tools, you'll be the face of your organization's products internally — demoing capabilities, winning over new adopters, and growing the portfolio of tools your team owns. You will manage multiple engineering teams (including managers), partner cross-functionally with stakeholders across the business, and build the processes that let your tools ship safely and reliably at scale. In this role, you will: Lead and grow multiple engineering teams spanning AI-powered tools/agents and test infrastructure, data pipelines, and process automation, managing and mentoring managers and senior engineers, and holding your organization accountable for delivery and quality across both areas. Set a unified, prioritized roadmap across your organization that balances new AI agent/tool capabilities with test infrastructure, data pipeline, and process automation needs — with a sharp eye for where applying LLMs to automation, pipelines, or test systems creates outsized leverage. Design and enforce the architecture, quality gates, and release processes that ensure tools, pipelines, and AI agents are validated, secure, and reliable before reaching production. Partner cross-functionally with engineering, operations, and business leadership across the company to align priorities, scope integrations, and drive adoption of new tooling at an organizational leve

To ensure accurate and timely payments to all vendors and pro-actively support team lead on all activities in the COE roadmap. Source: Adani Group | Job ID: 55224

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

Role Description Dropbox is seeking a Vice President of Revenue Operations to define and lead the operating strategy for the company’s global B2B go-to-market organization. This executive will be responsible for building a high-performing, scalable revenue engine that enables predictable and efficient growth across SMB, Mid-Market, and Enterprise segments while supporting Dropbox’s evolution across product-led, sales-assisted, and enterprise motions. This leader will serve as a key strategic partner to the Chief Business Officer and broader executive leadership team, translating company strategy into the operating model, planning frameworks, systems, insights, and execution mechanisms required to deliver durable growth. The role will own Revenue Operations and Marketing Operations across the customer lifecycle, ensuring tight alignment between demand generation, pipeline creation, sales execution, retention, expansion, and overall revenue performance. The VP of Revenue Operations will have enterprise-wide accountability for revenue planning, forecasting, segmentation, capacity and coverage strategy, incentives, GTM systems, analytics, operating cadence, and revenue productivity. This leader will play a central role in shaping how Dropbox allocates resources, evaluates performance, scales new products and motions, and modernizes its GTM organization through data, automation, and AI. Responsibilities Define and lead Dropbox’s global revenue operating strategy, ensuring the company’s GTM model is designed to support long-term growth, efficiency, and increasing enterprise complexity Serve as a strategic advisor to the Chief Business Officer and executive leadership team, bringing data-driven insights and recommendations to critical decisions around growth, investment, resource allocation, organizational design, and GTM strategy Own the end-to-end revenue operating model across Sales, Marketing, Customer Success, and Support, including segmentation, coverag

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. . About the Role, Mission or Department Overview As an Engineering Manager for Cybersecurity at The New York Times, you will lead the team responsible for building and operating the platforms, tooling and services that keep our systems secure at scale. Our engineers design and run the infrastructure that underpins vulnerability scanning, secrets management, secure-by-default platforms and other core security capabilities used across the entire technology organization. You will work with partners in Cybersecurity, Developer Platforms, Enterprise Technology and Product Engineering to deliver reliable, developer-friendly security services. This is a hands-on leadership role where you'll balance people management with technical decision-making. You'll coach engineers, shape technical roadmaps, and help your teams make risk-informed decisions that support both engineering goals and the broader business. You will report to the Director of Engineering, Cybersecurity within the Information Security organization. Information Security helps prevent The Times from becoming news. Our department protects the journalists who report the news, the colleagues who support them, the platforms they rely on every day and the readers who depend on our products. We run programs across security engineering, application security, incident response, governance and more, partnering closely with teams throughout the company to keep our systems dependable and safe. Resp

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate tradeoffs, i

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

To ensure accurate and timely payments to all vendors and pro-actively support team lead on all activities in the COE roadmap. Source: Adani Group | Job ID: 24046

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 :