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Lead Software Architect 2c Java Backend Jobs

6,753 active opportunities · Updated for October 2026

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StarRez
📍 Australia• Full-time
24 days ago

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

aigorust
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CLEAR - Corporate
📍 New York• Full-time• From $225K/yr
24 days ago

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are seeking a Senior Product Security Engineer to serve as a technical leader and strategic contributor within our Product Security team. This role goes beyond execution — you will drive the evolution of CLEAR’s application security posture by influencing architecture, shaping security engineering processes, and mentoring team members in security and engineering. You’ll lead security initiatives across the organization and help embed security into every stage of our software development lifecycle. What you'll do: Drive security strategy and implementation across all CLEAR products and engineering teams, ensuring consistent protection of customer and business-critical assets. Partner with engineering leadership to align application security initiatives with company-wide technology and product roadmaps, balancing innovation with risk mitigation. Provide technical leadership across CLEAR’s application security initiatives, guiding architecture, design, and development to meet high security standards. Serve as a trusted advisor to cross-functional teams — including Engineering, DevOps, Product, GRC, and IT — enabling secure-by-design practices across the organization. Design and drive implementation of scalable automated security controls and testing frameworks integrated into CLEAR’s CI/CD pipelines. Lead complex threat modeling, architecture reviews, and risk assessments across high-value systems and platforms, driving meaningful security outcomes. Engage with CLEAR's customers to provide insight and support their fraud and ident

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1mo ago

Become a part of our caring community The Senior Full Stack Engineer Performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. As Centerwell builds its AI engineering function from the ground up, we need a platform foundation strong enough to support everything that comes next. As Lead Full-Stack Engineer focused on platform and API engineering, you will design and build the service layer that connects AI capabilities, data systems, and product frontends—setting the standards for how services are built, secured, and operated across the team. You will work with meaningful architectural scope, making decisions that span API design, security patterns, and deployment practices. The platform you build will serve care teams and patients across hundreds of Centerwell clinics. If you want to build platforms that others build on—and do it in service of better primary care—this is the role for you. Key Responsibilities Platform and API Architecture: ** Design and lead development of core backend services, REST and GraphQL APIs, and service-to-service integrations that connect all layers of Centerwell's AI product stack. Security and Compliance by Design: ** Establish patterns for authentication, authorization, rate limiting, PHI access control, and audit logging. Ensure HIPAA compliance is embedded in platform design from day one—not bolted on after the fact. AI and LLM Integration Patterns: ** Define and implement reusable patterns for integrating AI capabilities into product

REMOTEtypescriptpythonreact
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We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams – your place is with us! What You’ll Be Doing: Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services). Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement. Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs. Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability. Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management. Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible. Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response. Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and appli

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Coder
📍 United States• Full-time
1mo ago

We’re on a mission to build the world’s first AI Development Infrastructure: software that enables enterprises to safely evolve from today’s AI assistants to tomorrow’s autonomous workflows, all while maintaining full visibility and control. We’re creating a new category, and we need a Product Marketing leader to help define it. You’ll shape and scale Coder’s story across every touchpoint, building thought leadership, deepening our enterprise presence, and influencing how the world thinks about AI development. You’ll define the vision and strategy for the team, working across the company to drive clarity, alignment, and growth, and position Product Marketing as a force multiplier for our business. This role is perfect for a player-coach: someone who can translate complex technology into clear, credible stories, lead insightful analyst conversations, and dive deep into customer segmentation - all in a day’s work. What you’ll do here Evaluate, refine, and validate Coder’s messaging and positioning to explain how we fit into enterprise AI transformations. Build clear, visual frameworks that communicate complex design choices and product architecture to technical decision-makers. Drive alignment and consistency across internal teams and customer touchpoints through continuous iteration. Partner with Sales, Customer Solutions, and Product to identify and operationalize emerging use cases for Coder at the frontier of agentic development. Grow the Product Marketing team while providing strategic guidance on scaling thought leadership, developer relations, and enablement to create cohesive marketing to our ICP. Drive a unified technical content strategy with Marketing, Product, and Customer Solutions that connects product truth to customer needs and market opportunities, strengthening Coder’s technical credibility. What we’re looking for 10+ years of relevant experience, with 3+ years in a leadership/management role Action‑oriented; execute autonomously in fast-changing env

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1mo ago

About the Role & Team We’re looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude. You will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale. The team owns three critical areas: Data ingestion: Collecting and importing experiment exposures, custom events, OpenTelemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses. Data computation: Building distributed computation systems that transform raw data into accurate, timely experiment results. Stats engine: Developing and productionizing the statistical methods that help customers make trustworthy decisions from their experiments. This is not a traditional data engineering management role. We are looking for a leader with a solid data science and statistical foundation who can connect advances in experimentation methodology with scalable production systems. You will help set our technical and scientific direction, translating new statistical methods and machine learning research into capabilities that customers can use reliably at scale. You’ll partner closely with data scientists, engineers, product managers, and customers to advance the state of experimentation. The ideal candidate is equally comfortable discussing causal inference and statistical power with data scientists, distributed computation architectures with engineers, and experimentation strategy with customers. What You’ll Do Lead and grow the team responsible for Statsig’s data ingestion, experiment computation, and stats engine. Define the technical and scientific strategy for advancing experimentation across both Statsig Cloud and warehouse-native deployments. Partner with data scientists and engineers to turn new statistical and causal inference methods into scalable, reliable product capabilities. Evolve our data and computatio

restmachine learningai
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Asana
📍 San Francisco• Full-time• $306K – $360K/yr
1mo ago

We are looking for a Director of Engineering to lead our AI Platform organization. This group builds the foundational systems powering every AI experience across Asana. In this role, you will lead four key teams through their engineering managers: Context (search, retrieval, and knowledge extraction across the Asana Work Graph), LLM Foundations (model serving, inference infrastructure, provider strategy, and evaluation systems), and AI Efficiency (our center of excellence for cost, quality, and performance standards across all AI workloads). Collaborating with engineering managers and senior technical leaders, you will drive the end-to-end strategy, execution, and architecture that define how humans and AI work together at Asana to build trusted, reliable, high-value product workflows for enterprise customers worldwide. Your mission is to make Asana’s AI platform the most reliable, economical, and performant foundation in the industry for agentic enterprise software, giving Asana the leverage to ship AI products faster than anyone else. 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 Drive Strategy & Execution Across the AI Teammates Pillar: Lead the multi-year vision and technical strategy for Asana’s AI platform, covering retrieval and agent context, model serving and inference, model portfolio strategy, and evaluation systems. Optimize AI Infrastructure Costs: Own cost-per-execution as a primary engineering metric, managing model selection, routing, open-weight versus frontier trade-offs, inference optimization, caching, and prompt efficiency to protect product margins at scale.

restaigo
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Asana
📍 San Francisco• Full-time• From $223.2K/yr
1mo ago

At Asana, we’re building agentic work management software to help every organization in the world become more effective in working together and realizing their goals. Our Customer Experience team is committed to helping customers in their post-sales journey to deploy, adopt, and use Asana as both a technology product and a holistic way of working. We strive to help our customers, across geographies, industries, and functions, get off on the right foot, experience the most value out of the tool over time, and ultimately renew & grow their subscription. We are looking for a senior leader for the Head of Digital & Scaled Customer Success. In this role you will lead a team that designs and leads automated, data-driven programs to retain, engage, and grow large groups of smaller-tier customers without relying on one-on-one human management. You will build tech-touch strategies, manage digital engagement tools, and optimize operations to drive low-cost customer lifetime value. This role can either be fully remote depending on which US state you live in, or based in our San Francisco, Chicago, or New York City office with an office-centric hybrid schedule. If based in-office: 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 Define and own scale & digital strategy: Own the scale and digital CS strategy, defining the digital customer journey, determining engagement motions for each stage, and establishing how customers transition as their needs evolve. Design digital success programs: Launch self-serve onboarding, lifecycle communications, and in-product nudges that drive activation and habitual software usage with minimal to no human coverage. Build AI-powered e

gitrestai
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Asana
📍 San Francisco• Full-time• $202K – $230K/yr
1mo ago

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

restaigo
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Asana
📍 New York• Full-time• $167.7K – $178.5K/yr
1mo ago

Command by Asana is a new product purpose-built for software development teams that helps engineers stay in flow Command automatically catalogs the decisions, context, and next steps agents need to stay efficient and keep moving. Engineers spend less time unblocking agents and more time on what’s next. Assists EMs with releases that de-risk themselves Command monitors scope, dependencies, pacing, and risks in real time, surfacing blockers and adjusting plans before they cascade into delays. Enables leaders to always know the status, without the meetings required Command gives leaders a custom, queryable view of the strategic work that's important to them, so they know what is truly at risk and why without waiting for a status update. We are building the first Solutions Engineering overlay team to support Command's go-to-market motion, partnering closely with customers to demonstrate how modern software teams can plan and execute with clarity, not theater. The Opportunity We're seeking a driven, entrepreneurial Solutions Engineer to join a newly formed team bringing Command to product development and Engineering teams. This is a unique opportunity to be on the ground floor of an emerging go-to-market motion, partnering with a dedicated Account Executive and cross-functional teammates to build repeatable technical plays that will scale across Asana's field organization. You will be an extended part of the Product Lead/General Manager's team, helping bring customer feedback to the product team and shape how the product, demos, and technical positioning evolve. You'll work with Engineering leaders, product development teams, and cross-functional stakeholders who are looking to modernize how they coordinate work, deflect repetitive requests, and deliver better employee experiences. This role requires strong technical curiosity and customer empathy—you'll lead discovery, technical validation, and solution design while partnering seamlessly with Asana's existin

ci/cdagileai
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We’re hiring a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. This is a high-impact role for a technical marketer who thinks and acts like a builder. Most AI systems don't fail because the model is bad—they fail because they lack a crucial, contextual foundation. MongoDB owns a piece of nearly every step in that chain. This role requires deep technical expertise across the context stack—including VoyageAI embedding and reranking models, MCP Server, and the coding agent ecosystem (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, etc.)—combined with product marketing instincts to deeply understand the market and translate technical depth into crisp, differentiated messaging for distinct user and buyer personas. The ideal candidate has experience building and shipping AI-enabled products and using developer tools in their day-to-day workflows. Individuals with prior experience in technical sales, developer relations, or software development are encouraged to apply. The ideal candidate is a voracious consumer of AI research and pays close attention to shifting patterns in how software and AI applications are built and consumed. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. You will leverage your technical depth to craft clear, compelling, and highly differentiated messaging by working backward from customer requirements. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as the strategic owner for MongoDB’s context engineering portfolio—MCP Server, Agent Skills, VoyageAI, and more— aligning roadmap and go-to-market with MongoDB’s long-term business goals, in collaboration with Product Management, Engineering, Developer Relations, Partn

mongodbawsazure
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OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali

awsrestai
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Sigma Computing
📍 San Francisco• $140K – $170K/yr
18 days ago

Technical Support Manager About the role: We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing Become a product expert and stay technically close to complex and critical customer escalations. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience. Hire, develop and train a strong team of Support Engineers on an ongoing basis. Own strategic areas of the Support organization end to end, from strategy through measurable outcomes. Partner across Engineering, Product, Customer Success, Sales, and Marketing to solve customer challenges and drive cross-functional outcomes. Drive performance against key Support metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Continuously refine processes to optimize efficiency, elevating customer support operations. Uncover golden insights within Support data, translating them into actionable strategies that improve customer experience, operational efficiency, and business outcomes. Develop a reputation for excellence, high credibility and integrity with

pythonsqlaws
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Tubi - Canada
📍 Toronto• Full-time• From C$908.4K/yr
23 days ago

About the Role: Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or recommendation anomalies post-release and escalate issues promptly. Continuously improve QA processes, metrics, and reporting for streaming and AI validation. Your Background: Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands-on experi

javascripttypescriptpython
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Pontera
📍 New York• Full-time• From $185K/yr
24 days ago

Pontera is a fintech company on a mission to help people retire better. Our software platform enables retirement savers to get the help they need managing their 401(k) and other retirement plan accounts as part of a personalized strategy by their trusted financial advisor. Pontera is used by financial advisors across the nation– from SMB to Fortune 500 RIA firms, independent broker-dealers, plan custodians, and plan advisors. Backed by leading venture capital firms including ICONIQ Growth and Lightspeed Venture Partners, Pontera is built by talented individuals who share a dedication to helping people retire with greater security. Our team is fast-growing and driven to become one of the largest fintech companies in the world. Our culture is built on a people-first principle: in a complex and numbers-driven industry, we never lose sight of the people we serve and work alongside. That’s where you come in. DESCRIPTION As a Mid-Market Account Executive, you will lead the sales process for some of the fastest growing and disruptive Broker-Dealers and RIAs in the space (50+ financial advisors). You will be in a high-impact role with CEO-level visibility, tasked with bringing in clients capable of changing our company’s trajectory. This job is being made available at an incredibly important time in Pontera’s trajectory, and there are many reasons it’s a great opportunity: a product with an immediate, measurable revenue impact for the client (share of wallet growth), a massive addressable market, and dominant category leadership in professional 401(k) management. There is a ton of greenspace. And we are looking for someone with grit, resiliency, and professionalism to capture this incredible opportunity. RESPONSIBILITIES Lead multi-threaded sales processes across C-Suite, Compliance, InfoSec, Legal, and Field Leadership. You own the deal from initial conversation through negotiation and close. Map the buyers of our prospects. Understand the goals, pl

aigorust
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