Software Engineer Distributed Systems Jobs

Role Overview The worldwide data management software market is massive (forecasted to be approximately $82 billion in 2023, growing to approximately $137 billion in 2027). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Technical Services Engineers use their exceptional problem-solving and customer service skills, along with their deep technical experience, to advise customers and solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem; database server, drivers, cloud, and infrastructure, including services such as Atlas (database as a service) or Cloud Manager (for automation, backup, and monitoring of MongoDB systems). We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. We are looking to speak to candidates who are based in Bangalore for our hybrid working model. Position Expectations Working alongside our largest customers, solving their complex challenges, resolving questions on architecture, performance, recovery, security, and everything in between. Expert resource on best practices in running MongoDB at scale, whatever that scale may be. Advocate for customers' needs, interfacing with our product management and development teams on their behalf. Contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. Qualifications We welcome all candidates, especially those who are self‑taught, curious, and multi‑faceted, with 3 - 5 years of relevant experience. The ideal candidates should have: &lt

About the Role Chime is looking for a hands-on engineering leader to guide the Human Agent Tooling team within Trust & Safety. As a Tech Lead Manager, you’ll lead a squad of 3–5 engineers, set the hiring bar, coach and develop talent, and own execution and delivery. You’ll also remain deeply involved in the technical work, writing and shipping production code alongside your team. The Human Agent Tooling team builds the software Chime’s support agents use to understand member needs, take the right actions, and resolve issues quickly and safely. This includes the agent workspace, case management tools, real-time member context, and access controls. You’ll help modernize this platform and partner closely with Product, Operations, and support agents to make every human support interaction faster, safer, and more effective. In this role, you can expect to Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 5+ years of experience developing software in a prod

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About The Role We’re looking for a Technical Program Manager who can work across engineering, product, and business teams. You’ll bring the technical judgment to earn engineers’ trust and the ability to create clarity and momentum across complex programs. This is a hands-on role with executive visibility and direct impact on how Ramp’s engineering organization scales. You’re energized by complexity and curious about how AI can improve the way engineering teams work. You experiment with AI tools yourself, understand how they are changing software development, and bring that perspective to the programs you lead. What You’ll Do Lead large technical programs across engineering and partner teams, from infrastructure scaling to reliability and incident response. Connect platform and product engineering teams, keep context flowing, surface dependencies, and drive effective execution. Own programs from scoping and kickoff through delivery, measurement, and retrospective. Partner with engineering leaders on roadmaps, identify how projects overlap or depend o

Senior Data Scientist [Data] • [Vancouver, BC] We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products. Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. This role is based in our Vancouver 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 Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate b

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that enable exceptional member and provider experiences. The Director, Segment Quality Engineering is a strategic technology leader responsible for advancing quality engineering practices across a defined portion of Humana’s technology portfolio. Reporting to the AVP, Quality Engineering – Segment, this role will lead teams responsible for delivery quality, test automation, release readiness, and continuous improvement across multiple product and application teams. This leader will work closely with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality partners to embed quality throughout the software development lifecycle and improve release confidence, delivery speed, and production stability. Responsibilities Lead quality engineering execution across a defined portfolio, domain, or set of technology products and applications. Build, develop, and coach high-performing quality engineering teams, including managers, leads, engineers, and SDETs. Drive consistent quality engineering practices across agile teams, with a focus on built-in quality and shared accountability. Oversee quality planning and execution across functional, integration, end-to-end, and regression testing. Partner with Engineering and DevOps teams to support release readiness, validation, and stable production deployments.

We are looking for a Principal Architect for SoC and System performance modelling. The NVIDIA Architecture Modeling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at NVIDIA and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Mentor early engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change What we need to see: Bachelor's Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 15+ years of relevant work experience or MS with 12+ years of experience or PhD with 7+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)

We are now looking for a Senior Architect for GPUs and SoCs: The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of graphics and / or SOC algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features. Code coverage analysis and reporting Mentor younger engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change Help develop AI based tools to increase efficiency. What we need to see: Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 2+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GC

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. Our internship program at Sigma: As an Intern at Sigma, you’ll work on documentation for various production features and learn best practices of developing user assistance for enterprise software in a fast-paced release environment. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of agentic workflows for app development, business insights, and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August 2027 (flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions, but we welcome applicants on a student visa (with authorization to work in the U.S.) to apply Location: Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship. Relocation assistance will be provided for students who will need to relocate for the summer in the form of a relocation bonus. About the role: As a Technical Writing Intern , you will test and document new product features that help our global user base analyze and gather insights from their data. During your internship, you’ll partner directly

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary : Equipment Technicians are responsible for monitoring, sustaining, and improving the equipment in their assigned area, while working in partnership with Shift Operations team members, area equipment engineers and tool vendors. Equipment Technicians monitor tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to repair equipment issues. Main Responsibilities : • Performs electrical or mechanical troubleshooting to determine problems in non-functioning electro-mechanical equipment used in the manufacturing process • Dismantles, adjusts, repairs and assembles equipment according to layout plans, blueprints, operating or repair manuals, rough sketches or drawings • Uses test and diagnostic equipment to perform checkouts. • Rebuilds manufacturing equipment as required • May perform equipment modifications as directed by engineers. Minimum Required Qualifications/Experience Diploma in Engineering. Mechanical/Electrical/Electronic Engineering is preferred Able to work on 12 hours rotating shift. No experience required, training will be provided</s

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. Serve as the primary

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the Role We are looking for a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team and help enterprises turn AI into real ROI. In this role, you will be responsible for end-to-end development, from problem definition to driving models and solutions into production. What You'll Work On Design, develop, and deploy optimization solutions built on ML models and evaluation, to improve efficiency and quality. Work with PMs and engineers to turn product goals and customer needs into clear problems and priorities, and integrate validated methods into the product. Build reliable evaluation methods for LLM output to measure the quality and impact of solutions, and decide if the results apply to real-world conditions. Form your own hypotheses, then design A/B tests that use real traffic to validate them. Follow the latest research and industry solutions, evaluate them in our own context, and propose new approaches. Decide what to build in-house and what to adopt. Monitor solutions after launch, and proactively communicate risks, trade-offs, and progress. (Optional) Mentor junior scientists and interns, if the need arises. What We're Looking For (Minimum Qualifications) Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields At least 2 years of experience in machine lea

Lead Analyst Company: The Boeing Company Boeing F-22 Mission Systems team is hiring for a Lead Analyst located in Berkeley, MO . As Lead Analyst, you will be responsible for analyzing engineering solutions for the F-22 Raptor, including both enhancing existing field units with the addition of new capabilities as well as architecting and testing completely new systems. In this role you will be joining a cross-functional team to progress our products through the development lifecycle. Position Responsibilities: Leads analysis and translation of complex requirements into system architecture, hardware and software designs and interface specifications. Must be able to work in a fast-paced, collaborative environment, engaging with multiple teams and being responsive to agile requirements and critical path customer need dates. Collaborates with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system requirements for F-22 avionics sub-systems and weapon system architecture Analyzes and translates requirements into system architecture, hardware and software designs and interface specifications in support of lab and operational environments Reviews test data, including off-nominal data, for accuracy, quality and/or fidelity prior to delivery to customer This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship A final Secret Clearance

F-22 Lead System Designer Company: The Boeing Company The Boeing F-22 Raptor team is seeking a Lead System Designer in Berkeley, MO to join the F-22 Raptor Mission System Design Team with a focus on developing cutting edge engineering solutions to continue to advance the world’s premier air superiority fighter, located in Berkeley, MO. The Lead System Designer will interact directly with customers, suppliers, partners, program management, integration, software, and test engineers. The selected applicant will be a member of a geographically dispersed, high-performing, collaborative team, and must be self-motivated with a strong work ethic, excellent time-management, and strong communication and interpersonal skills. The team operates in the Scaled Agile Framework (SAFe) to support all aspects of product development. The applicant will be expected to actively help the team to continuously improve and develop innovative and creative solutions to products and processes and to coach the team in system design best practices. Position Responsibilities: Collaboration with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system and software requirements for F-22 avionics sub-systems and weapon system architecture Resolve technical issues through coordination with engineering using established processes . . Manage Deliverables by defining plans for risk mitigation, issues, and opportunities; and, monitoring baseline plans to assess project performance, productivity, and lessons learned. Brief customer and program leadership on program status;

FEQ427R171 As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Germany. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: Hire, mentor and grow the pre-sales team in Germany Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture Support increased return on investment of SA involvement in sales cycles Ensure a solution and value-based selling within the field-engineering organization Display an understanding of needs and revenue potential for accounts in the assigned region Engage with key customer executives to build and strengthen strategic partnerships Ensure close alignment with partners and internal services to secure implementation strategies within accounts Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: Experience managing a team of successful Big Data, Cloud, or SaaS professionals Experience in consumption based business environments Have experience mentoring and scaling technical teams Success in instituting processes for technical field members to lead efficiency and product focus Ability to partner and collaborate with Sales and other cross-functional leaders Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions Technical or consulting background either in Data Engineering, Database technologies or Data Science Strong communic