Senior Lead Php Backend Developer Codeigniter With 2 2b Years Experience Jobs

We are looking for a Senior Director of Platform Engineering to lead the strategy, architecture, execution, and organizational development of our Platform Engineering function. This role is accountable for the foundational capabilities that enable engineering teams to build, deploy, operate, secure, and scale software efficiently and reliably. The Senior Director will own the evolution of our internal developer platform and shared engineering infrastructure, bringing together cloud, Kubernetes, CI/CD, observability, reliability, security, developer experience, and automation into a coherent platform strategy. The role requires a combination of deep technical judgment, organizational leadership, and platform product thinking, with the ability to operate effectively with senior engineers, engineering leaders, security, architecture, finance, and executive stakeholders. Key Responsibilities Define and own the multi-year Platform Engineering strategy, architecture, and roadmap , aligned with company and engineering objectives. Lead the evolution of the Internal Developer Platform , creating paved roads and self-service capabilities that reduce cognitive load and accelerate software delivery. Own strategic direction across cloud infrastructure, Kubernetes, networking, CI/CD, observability, reliability, Infrastructure as Code, platform security, developer tooling, and FinOps. Lead and develop a high-performing organization of Engineering Directors, Managers, Principal/Staff Engineers, and platform teams. Establish clear ownership, engineering standards, architectural principles, governance mechanisms, and measurable platform outcomes. Drive improvements in developer productivity, delivery performance, reliability, scalability, security, and infrastructure efficiency . Ensure platform services are designed for high availability, fault isolation, scalability, disaster recovery, and controlled blast radius. Own Security Engineering to embed secure-by-default, policy-as-code,

Senior Consultant-We are seeking a seasoned ITES Solution Architect to lead the design and execution of enterprise-grade IT infrastructure projects. -"Key Responsibilities: Infrastructure Architecture & Design • Design and implement end-to-end IT infrastructure solutions including compute, storage, network, and security. • Architect high-availability systems with failover clustering, load balancing, and redundancy. • Define and implement disaster recovery strategies with clear RTO/RPO objectives. Data Center & DR Strategy • Design and manage primary and secondary data center environments. • Plan and execute DR site configurations, ensuring seamless failover and recovery. • Implement real-time or scheduled data synchronization between DC and DR using replication technologies (e.g., SAN replication, DFS-R, Veeam, Zerto). Backup & Recovery Planning • Develop and maintain enterprise backup strategies using tools like Commvault, Veeam, or NetBackup. • Ensure secure, encrypted backups with retentio

The Role MongoDB is seeking an experienced Senior Executive Recruiter to lead the search and selection of senior leadership talent across the organization. This role partners directly with C-suite and SVP-level stakeholders to build the leadership teams that will drive MongoDB's next phase of growth. We're looking for someone who brings a blend of executive search agency rigor and in-house recruiting fluency, ideally with experience in the technology industry. This role will be based out of our New York City office with a hybrid working model. What You'll Do Own end-to-end executive search processes for VP+ level roles, from intake through offer and close Serve as a trusted advisor to hiring executives and the leadership team, shaping search strategy, candidate profiles, and market mapping Build and manage a proactive pipeline of senior leadership talent through direct sourcing, market research, and a strong external network Conduct in-depth candidate assessments, including competency-based interviews and reference checks, to ensure strong leadership and cultural alignment Manage complex, multi-stakeholder search processes with discretion, precision, and executive presence Partner with People teams on compensation strategy, offer construction, and negotiation for senior hires Represent MongoDB's employer brand and leadership hiring standards in every candidate and stakeholder interaction Continuously sharpen executive hiring processes, tools, and market intelligence to keep MongoDB competitive for top leadership talent We're Looking for Someone With Significant experience in executive recruiting, ideally with a blend of retained/executive search agency and in-house corporate recruiting experience A track record of closing senior leadership searches (VP and above) in complex, fast-moving organizations Deep experience partnering with and influencing senior executives and stakeholders Strong market knowledge and an active network within the technology industry; experie

We’re looking for a Senior Product Manager to lead AI Studio, Asana's AI workflow builder, in San Francisco. The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. In this role, you will own an end-to-end AI product that powers millions of workflows, enabling large enterprise organizations to build, govern, and deploy AI at scale across their organizations. You will join a dynamic cross-functional environment working directly with Engineering, Design, Experience Research, Data Science, and Go-To-Market teams to turn system-critical processes into reliable, automated work inside Asana's work graph. 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 Own the product vision and prioritized roadmap for AI Studio end to end, tying every investment directly to customer impact, business outcomes, and Asana's mission. Drive direct business outcomes for a consumption-based AI product: own reporting, forecasting, and ROI, and define the metrics that connect product usage to revenue on a consumption billing model. Scale AI Studio to reliably support millions of workflows, ensuring the quality, performance, and dependability enterprises require for system-critical processes. Ship automation capabilities that enable enterprise teams to deploy AI across their organizations, ranging from single-team workflows to processes spanning thousands of users. Build for enterprise trust by shaping AI governance, admin contr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

We’re looking for a visionary Product Manager to lead the Agents Experience team in San Francisco. In this role, you will define how humans and AI agents work together inside Asana and make collaborating with agents feel natural, trustworthy, and indispensable. You will join our Product Management team, which drives Asana's product strategy and works cross-functionally across Engineering, Design, Experience Research, Data Science, Sales, Support, and Marketing to deliver impactful solutions that help teams see the larger purpose behind their work. 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 Own the product vision and prioritized roadmap for the core agent experience that will define the modern Human + Agent workplace. Drive agent adoption by owning how teams discover, activate, and build lasting habits around AI agents, turning successful first experiences into durable, team-wide usage. Partner with design and user research to refine the core interactions for how users create, direct, review, and give feedback to agents in the flow of work. Lead discovery, pilots, and betas with enterprise customers to understand how organizations adopt agents, translating those insights into product strategy. Shape the experiences that let humans confidently delegate work to agents, including transparency, control, and feedback loops that build trust at every step. Define engagement metrics, instrument tracking, and iterate continuously on the product experience. About you 6+ years of product management experience, ideally focused on AI products, collaboration software, or enterprise workflows. Pr

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

We are looking for an experienced Senior Partner Manager to lead and scale Datadog's alliances with major Indian Global Systems Integrators (GSIs), including - Wipro, Tech Mahindra, and Cognizant. This is a high-impact role responsible for driving partner-sourced pipeline, co-sell motions, and joint go-to-market initiatives in a global capacity. You will own the strategy and day-to-day execution of these strategic relationships, working closely with regional sales, marketing, and legal teams to unlock new revenue and expand Datadog's footprint through the Indian GSI ecosystem. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build and execute strategic plans to maximise customer success, partnership growth, and revenue opportunities across targeted Global Indian Systems Integrator partners. Drive joint solution development, go-to-market initiatives, pipeline generation, and delivery excellence with partners. Build strong relationships with Datadog leaders and partner executives, securing alignment, influence, and commitment to shared priorities. Partner closely with Regional Partner Sales Managers responsible for GSI relationships, as well as cross-functional teams including Partner Solution Architecture, Marketing, Legal, and Deal Desk. Negotiate and manage partnership agreements, order language, and contractual terms, including MSP addendums and pass-through obligations, in coordination with Legal and Deal Desk. Generate partner-sourced net-new pipeline and revenue, while identifying and recruiting additional practice areas or business units within existing GSI partners to expand the scope of the partnership. Who You Are: 7+ years of partner-facing, quota-carrying business development experience, with a track record of building strategic relations

We're hiring a Senior Technical Program Manager to lead Asana's push into agentic work management — building the programs that let AI teammates plan, execute, and orchestrate work alongside humans . You'll drive initiatives spanning the Asana Work Management Platform which enables human-AI collaboration workflows, partnering with teams across R&D and the business to deliver exceptional customer outcomes . This role requires technical depth and business acumen with strong collaboration skills to orchestrate work across Engineering, Product, Design, Research, and Business teams . This role is based in our Vancouver or New York 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 Fri days depends on the type of work you do and the teams with which you partner . If you're inte rviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead end-to-end execution of cross-functional programs that advance Asana's agentic work management capabilities — from onboarding and task delegation to multi-agent orchestration and human-in-the-loop review — that let customers get real work done with AI . Build and own product engineering delivery plans, timelines, and dependencies, ensuring alignment and accountability with cross-functional teams . Create visibility, clarity, and drive delivery by managing program governance, identifying risks, coordinating resources, and ensuring teams execute effectively toward shared goals . Communicate updates effectively to teams and stakeholders on program health . Drive continuous improvement by identifying inefficiencies and streamlining processes . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Brings 8+ years leading

We're hiring a Senior Technical Program Manager to lead Asana's push into agentic work management — building the programs that let AI teammates plan, execute, and orchestrate work alongside humans . You'll drive initiatives spanning the Asana Work Management Platform which enables human-AI collaboration workflows, partnering with teams across R&D and the business to deliver exceptional customer outcomes . This role requires technical depth and business acumen with strong collaboration skills to orchestrate work across Engineering, Product, Design, Research, and Business teams . This role is based in our Vancouver or New York 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 Fri days depends on the type of work you do and the teams with which you partner . If you're inte rviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead end-to-end execution of cross-functional programs that advance Asana's agentic work management capabilities — from onboarding and task delegation to multi-agent orchestration and human-in-the-loop review — that let customers get real work done with AI . Build and own product engineering delivery plans, timelines, and dependencies, ensuring alignment and accountability with cross-functional teams . Create visibility, clarity, and drive delivery by managing program governance, identifying risks, coordinating resources, and ensuring teams execute effectively toward shared goals . Communicate updates effectively to teams and stakeholders on program health . Drive continuous improvement by identifying inefficiencies and streamlining processes . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Brings 8+ years leading

Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Own and evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI

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