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Senior Software Engineer Full Stack Jobs

10,000 active opportunities · Updated for October 2026

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Explore current senior software engineer full stack jobs. Use filters to narrow by work mode, employment type, experience and date posted.

D
10mo ago

Datadog is seeking a Senior People Business Partner (PBP) to work closely with business leadership and our People team to help support our growing cross-functional team in our Tokyo office. This position will work closely to support the needs of our go-to-market (GTM) team members in Japan while working strategically on all People programs and initiatives. Datadog has had exponential growth year-over-year and has no plans to stop - so there is a lot to learn from and contribute to our rapidly scaling team. 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: Act as regional PBP for all employees in Japan across a variety of pre-sales, post-sales and related GTM support teams; represent our global PBP team to partner on the front line with all employees and leadership in Datadog’s Tokyo office Advise, coach, and influence management on all things people-related, including: performance management, coaching, career pathing, employee relations, compensation, organizational development & scaling, training, culture, inclusion, employee engagement Maintain close partnership with departmental PBPs to collaborate on critical needs and change management Consult with the appropriate People Center of Excellence (COE) team to gather their expertise to provide input on program design to enhance the employee experience Build, advise and consult on People policies, guidelines, and programs with employee base, in collaboration with COE colleagues Provide analysis and consulting to leadership to drive data-driven people decisions and implementation of best practices Assess employee development needs, make recommendations, and implement appropriate solutions aligned with the organization’s broader strategy Handle complex global employee relations issues, w

aigorust
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C
10mo ago

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM,specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) Create electronic submission packages to FDA, e.g., define.xml or define.pdf following FDA guidelines with no supervision. Expert-level in analyze information and develop innovative solutions to programming and data analysis challenges; Serve as point of contact (POC) of programming with statisticians for statistical input and analysis interpretation; Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiatives. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams; Review draft and final production deliverables for project to ensure quality and consistency. Work with global team or sponsors to coordinate project deliverables, timelines and resources. Skills and Responsibilities: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with 5+years of clinical programming experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Expert-level in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Expert level in applying concept in Artificial Intelligence and Machine Learning in real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical tria

pythonjavasql
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R
10mo ago

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline — from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining. Responsibilities Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale. Build annotation tooling and data curation workflows — quality filtering, deduplication, episode scoring, and domain reweighting — to produce high-quality training datasets for robot policy learning. Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop. Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team. Collaborate with ML researchers to define data schemas, episode formats, and pipeline interfaces that support rapid iteration on VLA and manipulation policy training. Architect scalable storage and retrieval systems for heterogeneous robot data (vision, proprioception, action, language) across both cloud and on-prem environments. Requirements Bachelor's or Master's degree in Computer Science, Robotics, or related field with 5+ years of experience. Strong proficiency in Python and experience build

pythonai
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M
MongoDB
📍 New York• Full-time• $151K – $297K/yr
10mo ago

Our Internal Data team is on a mission to power decisions and applications across MongoDB, oriented around the business areas of GTM, Product & Technology, Finance and HR. With this role, we are focusing on delivery of scalable, insightful, and impactful data products for our Product and Technology (P&T) teams - the org that builds MongoDB products for our external customers. These products drive smarter decisions, automate workflows, enable AI agents and deliver actionable insights that accelerate growth. If shaping the future of data-as-a-product excites you, then this opportunity is for you. As a Senior Data Product Manager on our Data team — which includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance — you will lead efforts to build, enhance, and scale the data products MongoDB employees use every day across a growing, high-impact company. You’ll deliver data products like data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools/services to power both AI and BI. These data products form the backbone of our internal data ecosystem and are instrumental in empowering teams to achieve their KPIs and innovate faster. In this role you will also have the opportunity to drive the vision and strategy for internal data as a product, with a focus on telemetry and product adoption/engagement/churn signals. By developing tools and systems that provide deep insights into how customers use or don’t use MongoDB’s products, you will empower teams to understand customer behaviors and improve the end-user experience. The goal is to enable data-driven decisions that enhance product design, drive customer value, and fuel innovation across the MongoDB portfolio. This role can be based out of our Palo Alto, San Francisco, or New York City office or remotely in the East Coast region. Responsibilities Lead Product Strategy and Ownership Define product vision, stra

mongodbawsazure
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DU
DoorDash USA
📍 United States• Full-time• $219.7K – $323K/yr
10mo ago

About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you’ll own the analytics strategy for DoorDash Ads for Restaurants—one of the company’s fastest-growing and most dynamic businesses. You’ll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you’ll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You’re excited about this opportunity because you will… Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods—such as co

sqlExcellogistics
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E
Everpure
📍 Santa Clara• $126K – $189K/yr
10mo ago

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 Join the Monetization Strategy & Operations team within the CFO organization as the Senior Analyst responsible for optimizing our foundational subscription offerings, Foundation and Forever. In this high-impact role, you will own operational initiatives that improve how our subscription business runs, translating business strategy into scalable Quote-to-Cash (QTC) processes while partnering across Product, IT, Finance, Sales, and Operations. You will serve as a key operational partner responsible for improving business processes, defining requirements for system enhancements, leveraging analytics to drive decision-making, and helping scale subscription growth through operational excellence. WHAT YOU'LL DO Own and continuously improve the operational lifecycle for our Foundation and Forever subscription offerings, identifying opportunities to streamline processes, accelerate feature delivery, and improve operational efficiency. Analyze renewal and operational workflows to identify bottlenecks, recommend improvements, and implement scalable solutions across the Quote-to-Cash lifecycle. Translate business needs into clear functional requirements by defining, documenting, and validating system enhancements in partnership with IT and engineering teams. Design, build, and maintain operational dashboards, KPIs, and reporting that provide actionable insights to leadership and drive data-informed decision making. Serve

aifinancesupply chain
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C
10mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . At Coinbase, our mission is to increase economic freedom in the world. To achieve this, we are building the most trusted and comprehensive platform for institutions to participate in the crypto economy. We are seeking a very specific candidate: someone who is passionate about our mission, relishes the pressure of solving the industry's hardest problems, and actively seeks feedback to operate as part of a championship team. As a Senior Accountant on the Capital Markets Accounting team within Finance, you'll play a critical role in supporting Coinbase's expanding capital markets businesses. You'll own the accounting and regulatory reporting for our registered Futures Commission Merchant (FCM) and Broker-Dealer entities, helping ensure financial integrity, regulatory compliance, and operational excellence as we continue to scale. This is a highly visible role that partners across Accounting, Product, Engineering, Operations, Legal, and Compliance to launch new products, strengthen controls, and support a rapidly evolving business at the forefront of digital assets. What you'll do Own the monthly close for Coinbase's FCM and Broker-Dealer entities, including journal entries, account reconciliations, financial statement preparation, and quarterly and annual reporting. Prepare and submit regulatory filings to the CFTC, NFA, and other applicable regulators, ensuring accurac

awsgitai
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EI
10mo ago

About the job Senior Backend Engineer |100% Remote We are searching for a seasoned Sr Backend Engineer who will be responsible for developing and maintaining our backend systems, ensuring their efficiency, scalability, and reliability. The ideal candidate has a strong background in PHP and Java, with optional experience in Golang and Node.js. You should be well-versed in working with databases such as MongoDB, Redis, and Postgres, and have a solid understanding of cloud technologies, specifically AWS. Responsibilities Design, develop, and maintain backend systems and APIs to support our application's functionality. Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to deliver high-quality solutions. Write clean, scalable, and well-documented code that adheres to industry best practices and coding standards. Perform code reviews and provide constructive feedback to peers to ensure code quality and consistency. Optimize and improve the performance of existing backend systems. Troubleshoot and debug production issues, providing timely resolutions. Stay up-to-date with emerging technologies and industry trends, identifying opportunities for innovation and improvement. Collaborate with DevOps teams to ensure smooth deployment and operation of backend services in the AWS cloud environment. Requirements Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). 5-10 years of professional experience as a Backend Engineer. Strong proficiency in Java/Golang is a must. Experience with Node js is a plus. In-depth knowledge of database technologies, including MongoDB, Redis, and Postgres. Solid understanding of cloud computing platforms, particularly AWS. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Proficiency in writing efficient and optimized SQL queries. Experience with version control systems, such as Git. Excellent pr

javanode.jssql
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DU
DoorDash USA
📍 United States• Full-time• $249.6K – $312K/yr
10mo ago

About the Team DoorDash’s Internal Audit team provides independent assurance that the company’s risk management, governance, and internal control processes are operating effectively. We are a small team that is looking to expand and bring on motivated professionals. We don’t think of ourselves as a typical audit function - we are obsessively focused on risks to the organizations which reflects in the type of projects we support and execute. DoorDash is rapidly growing - we are expanding in multiple geos and launching new products. This exciting growth allows us to drive creative analysis, strategy, and solutions. Our focus areas include financial, operational, regulatory, security, IT, and more. About the Role We are seeking a Senior Director, IT Internal Audit to lead the strategy, execution and evolution of DoorDash’s global IT audit function. In this highly visible role, you will help shape the technology risk management practices across DoorDash - you will oversee a broad portfolio of audits, including IT SOX, cybersecurity, data governance, AI governance, and operational technology. You will report directly to the Chief Audit Executive and serve as a strategic advisor to DoorDash’s technology, security, and engineering leaders. You will bring deep technical audit expertise, exceptional leadership skills, and a passion for innovation to build and lead a world-class IT audit organization that scales with the business. This role demands someone who can balance strategy with execution (and isn’t afraid to roll up their sleeves) — a leader who can anticipate emerging technology risks, foster strong cross-functional partnerships, translate complex technical concepts into meaningful business insights, and be ready to operate at the lowest level of detail. You will partner with teams across Security, Platform Engineering, Data Engineering, Privacy Legal, AI, Product, and Compliance to strengthen our risk posture and drive a data-driven approach

machine learningaiExcel
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About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Senior Director, Strategic Initiatives, Growth & Transformation Reports To: VP, Strategic Initiatives, Growth & Transformation Location: Needham, Massachusetts or London, UK (Hybrid) Travel: Frequent domestic and international travel required. ABOUT SHARKNINJA SharkNinja is a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives around the world. Powered by Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, entering new product categories, and expanding into new markets and channels to drive exceptional growth. ABOUT THE ROLE SharkNinja's most important growth and transformation initiatives are cross-functional in nature and require a team to partner across the enterprise to bring opportunities to life. The Senior Director, Strategi

A
Asana
📍 New York• Full-time• $202K – $230K/yr
10mo ago

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. We're helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. We're looking for a Senior Product Manager to join the team that enables customers to turn their work into concrete plans. This team owns the core surfaces people rely on to structure, organize, and view their work in Asana — including Pages, projects, list views, and My Tasks, among others — spanning both 0 → 1 experiences and deep, high-stakes improvements to workflows that millions of teams use every day. Because these surfaces are foundational to how people work in Asana, decisions here ripple across nearly every other team at the company, and this role requires aligning multiple partners around complex, sometimes ambiguous tradeoffs. This role is based in our New York City 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: Set the strategy for a program or large workstream within our core planning experience, aligned with broader group goals Drive end-to-end delivery of multi-month initiatives — from problem definition through launch — often defining work that lands on other teams' roadmaps and requires coordinating delivery across multiple teams, rather than

restaigo
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C
Cohere
📍 London• Full-time• Remote• £250K – £535K/yr
10mo ago

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! Role Overview: We’re looking for a senior engineer to help build, maintain and evolve the training framework that powers our frontier-scale language models. This role sits at the intersection of large-scale training, distributed systems, and HPC infrastructure. You will design and maintain the core components that enable fast, reliable, and scalable model training — and build the tooling that connects research ideas to thousands of GPUs. If you enjoy working across the full stack of ML systems, this role gives you the opportunity and autonomy to have massive impact by working on projects such as: Building a high-performance data loading and caching pipeline. Implementing performance profiling across the ML systems stack Developing internal metrics and monitoring for training runs. Building reproducibility and regression testing infrastructure. Developing a performant fault-tolerant distributed checkpointing system. Key Responsibilities: Build and own the training framework responsible for large-scale LLM training. Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management,

REMOTEdockerkubernetesai
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