Location: Hybrid - San Francisco, New York City, London
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team. This is a builder role, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office.
What you’ll do
Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks
Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD)
Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders
Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls
Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (SOC 2), Payment Card Industry Data Security Standard (PCI DSS), and ISO audits
What you need
5+ years in security, infrastructure, or platform engineering, writing production code in a compiled language (Go or Rust preferred) and a scripting language (Python or Bash)
Deployed and operated agents, sensors, or telemetry collectors at fleet scale, such as osquery or eBPF-based tooling
Operated AWS infrastructure, including networking, identity and access management (IAM), logging, and container workloads, with infrastructure as code in Terraform
Built and run a data or logging pipeline, including SIEM operations and SQL for investigation
Bonus if you
Worked with managed SOC providers or security orchestration, automation, and response (SOAR) platforms
Built or contributed to open source security or observability tooling
Know serverless platforms and API security
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000-$312,000. This salary range is an estimate. Actual salary will be based on job-related skills, experience, and location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Software Engineer – Logging, Diagnostics & Post-Release Incident Analysis
Overview
The PlayStation Portal Platform team is seeking a Senior Software Engineer to lead the design, development, and operation of Logging and Diagnostics infrastructure that enables rapid detection, investigation, and resolution of Performance, Stability, and Platform Quality issues occurring after products are released to customers.
In this role, you will be responsible for building scalable Logging Architecture, Crash Diagnostics, and Incident Analysis Frameworks that empower engineering teams to perform efficient root cause analysis of field issues. You will collaborate closely with Engineering, Quality Engineering (QE), Customer Support, Security, and Product teams to reduce the time from issue detection to root cause identification and drive continuous improvements in product quality and reliability.
We are looking for engineers who are passionate about quality, thrive on solving complex system-level problems, and take strong ownership in delivering exceptional user experiences through continuous improvement.
Key Responsibilities
Logging Architecture
Define and drive the overall platform logging strategy.
Design and implement logging frameworks for AOSP-based systems.
Establish log collection, storage, retention, and archival strategies.
Define structured logging standards and best practices.
Design logging mechanisms optimized for field debugging and post-release analysis.
Improve platform observability and telemetry quality.
Diagnostics & Debuggability
Build infrastructure for Crash, ANR, Native Crash, and Kernel Panic analysis.
Define strategies for collecting and analyzing Tombstones, DropBox entries, Bugreports, and diagnostic artifacts.
Develop diagnostic frameworks for system failure analysis and troubleshooting.
Create tools that support issue reproduction and root cause analysis.
Drive initiatives that improve platform debuggability and diagnosability.
Partner with development teams to ensure diagnostic capabilities are built into the platform.
Post-Release Incident Analysis
Investigate and analyze production issues occurring in customer environments.
Identify, classify, and track recurring failure patterns.
Lead incident reviews, postmortems, and corrective action initiatives.
Drive improvements in Mean Time to Detect (MTTD) and Mean Time to Resolution (MTTR).
Provide actionable recommendations to engineering teams for quality improvements.
Monitoring & Alerting
Design and implement log-based monitoring systems.
Develop anomaly detection mechanisms for platform health and stability.
Build automated alerting and escalation frameworks.
Create dashboards and reporting tools for field quality monitoring.
Define and track reliability metrics and operational KPIs.
Security & Compliance
Design and implement secure logging and diagnostics infrastructure.
Ensure protection of PII and sensitive customer information.
Support security incident investigations and forensic analysis.
Define log retention policies and ensure compliance with company and regulatory requirements.
Collaborate with Security teams to implement secure-by-design principles.
Required Qualifications
A genuine passion for delivering high-quality software and exceptional user experiences, with a strong sense of ownership and accountability for product quality.
Experience working in Agile development environments and driving continuous quality improvements through iterative development, data-driven decision making, and customer feedback.
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
5+ years of experience in Android native development with strong expertise in Java/Kotlin and Android Studio.
Experience developing Android/AOSP system software.
Experience designing and implementing Logging, Diagnostics, or Observability systems.
Strong experience with crash analysis, production debugging, and root cause investigation.
Experience debugging Linux Kernel or low-level system software issues.
Strong programming skills in C/C++, Java, and/or Kotlin.
Experience analyzing large-scale production incidents and system failures.
Proven track record of conducting Root Cause Analysis (RCA) and driving corrective actions.
Strong understanding of software architecture, operating systems, and system software fundamentals.
Excellent analytical, problem-solving, communication, and collaboration skills.
Preferred Qualifications
Experience developing Android Framework components.
Experience with Kernel Logging, Tracing, and low-level diagnostics.
Hands-on experience with Perfetto, Systrace, ftrace, or similar profiling and tracing tools.
Experience building or operating Crash Analytics platforms.
Experience with Security Incident Response and forensic investigations.
Experience developing Consumer Electronics products.
Site Reliability Engineering (SRE) experience.
Experience with modern JavaScript frameworks such as React, React Native, Angular, or similar technologies for building responsive user interfaces and dynamic applications.
Experience designing telemetry, observability, monitoring, or analytics platforms.
Familiarity with cloud-native logging and analytics solutions.
Experience developing developer tools, debugging tools, or operational dashboards.
What We're Looking For
Passion for quality, reliability, and operational excellence.
Strong ownership and accountability for outcomes.
Customer-focused mindset with a commitment to exceptional user experiences.
Ability to investigate complex system-level issues and identify root causes.
Strong collaboration skills across cross-functional teams.
Continuous improvement mindset and commitment to engineering excellence.
Impact
Your work will directly influence the quality, reliability, and supportability of PlayStation Portal products used by millions of players worldwide.
By building world-class logging, diagnostics, monitoring, and incident analysis capabilities, you will enable engineering teams to detect issues faster, resolve them more efficiently, and continuously improve the customer experience.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$193,300
—
$289,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team.
Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer.
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – authentication, billing, data model, UI and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds.
This is a full-time position based out of our Toronto or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You’ll Use
Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
Familiarity with leading cloud providers, such as GCP, AWS, or Azure
Experience being on-call
What You’ll Do
Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout
Skills We’re Looking For
Can build things end-to-end. Our engineers build, deploy and maintain their code.
Is adept with data, backend systems, APIs, and UI components.
Is customer-focused, with an eye for building delightful product experiences and developer experiences.
Approaches new problems with a scrappy optimism, with a bias towards action.
Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
Able to work in-person in our Toronto/Oakland office 2 days per week.
This role represents new headcount added to the team to support continued growth and expansion of capabilities.
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$167,548
—
$209,435 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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
We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads.
You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast.
The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three.
Key Responsibilities
Drive the technical direction for database solutions used across Product and Research
Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
Build and scale database systems through 100x+ growth while maintaining reliability and performance
Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling.
Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments
Develop database infrastructure that serves both product and research workloads with different performance characteristics
Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization
Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct
Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work
Optimize database performance, reliability, and cost efficiency at scale
Make build-vs-buy decisions for database technologies
Minimum Qualifications
Significant experience as a software engineer building and operating production database or storage systems
Deep knowledge of distributed database architectures and OLTP systems at scale
Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB)
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred Qualifications
10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams
Experience scaling databases through periods of rapid growth at high-growth companies
Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production
Experience with Redis, Temporal, vector databases, or async job processing frameworks
Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure
Experience building multi-cloud or hybrid cloud database solutions
Knowledge of database orchestration and automation at scale
Contributions to database internals, storage engines, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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
We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way.
This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about.
Key responsibilities
Drive the technical direction for caching infrastructure used across Product and Research
Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem
Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers
Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases
Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments
Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths
Build observability and tooling that makes cache behavior easy to understand and debug
Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work
Make build-vs-buy decisions for caching technologies
Minimum qualifications
Significant experience as a software engineer building and operating production distributed systems
Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes
Experience operating Redis, Memcached, or similar in-memory data stores in production
Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale
Track record of leading large, complex infrastructure projects as an engineer or tech lead
Ability to balance moving quickly with the reliability needs of production systems
Strong technical leadership and cross-functional collaboration skills
Preferred qualifications
10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams
Experience building managed infrastructure platforms or internal services consumed by many engineering teams
Experience with change data capture (Debezium or similar) or streaming data infrastructure
Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale
Experience designing client libraries or SDKs for internal infrastructure
Experience scaling infrastructure through periods of rapid growth at high-growth companies
Experience with multi-cloud or hybrid cloud deployments
Contributions to caching systems, database internals, or related open source projects
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The CDN Content team is responsible for serving all content that flows through Vercel's global CDN — static assets, optimized images, incrementally regenerated pages, partially prerendered shells, and everything in between — to billions of requests for millions of developers. Our focus is performance: ensuring content is served globally as fast as possible. Caching plays a big role in making that happen, and the team operates a multi-tier caching architecture spanning in-process caches, regional cache services, and object storage across 20+ regions.
As a Software Engineer on the team, you'll take on well-scoped projects with real production impact and grow into owning larger pieces of the system. The work spans the serving path end to end, and everything ships through careful, progressive rollouts validated with production data. You'll learn how a planet-scale CDN works from engineers who built it.
This is a team where infrastructure meets product: we work in close partnership with frameworks such as Next.js, bringing framework-defined infrastructure to life on Vercel's CDN, and the serving and caching behavior we ship directly shapes the performance and cost that millions of developers see. You'll develop strong instincts for distributed systems, careful production rollouts, and data-driven engineering.
If you're based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Build and improve the services behind ISR, PPR, and image optimization — working in Go, Lua, and TypeScript across the serving path.
Execute well-defined projects independently, from implementation through safe rollout (feature flags, shadow modes, progressive deployment) and post-ship validation.
Monitor and maintain your work in production: build dashboards, add metrics and alerts, and develop ownership of what you ship.
Contribute to the team's observability and testing surface — the dashboards, log views, and e2e test suites that keep a high-change system trustworthy.
Participate in the on-call rotation with support from senior engineers, and contribute to incident follow-ups that make the system more resilient.
Collaborate with teammates and partner teams (Next.js, CI/CD) through design discussions, code review, and pairing.
What you need
2+ years of experience building and operating backend services in production.
Proficiency in at least one of Go, TypeScript/Node.js, or a comparable systems language, and enthusiasm for working across a polyglot stack.
Solid understanding of HTTP and web fundamentals — caching headers, request/response lifecycle, what a proxy does.
You write code you're willing to operate: tested, instrumented, and documented.
Curious about how large-scale systems work, and motivated to dig into unfamiliar code and production data to figure things out.
A collaborative teammate who communicates clearly, asks good questions, and follows through reliably.
Bonus if you
Have experience with caching systems (CDNs, Redis/Memcached, application-level caches) at any scale.
Have AWS experience, particularly S3 or ElastiCache.
Have used Next.js or another modern web framework and understand rendering modes like SSR/SSG/ISR.
Have experience with observability tooling (Datadog, Honeycomb, or similar).
Have experience with Terraform or Kubernetes.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact.
WHAT YOU’LL ACHIEVE
- Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback.
- Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
- Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
- Build internal tools and platform improvements that help all engineers ship quickly and safely.
- Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
AREAS YOU MIGHT WORK ON
- Core Notion product features: Help develop, improve, and maintain features for our flagship product, focusing on the editor, databases, sharing, or other key areas that power millions of workflows.
- AI and automation: Help develop and integrate intelligent features that make Notion more powerful, contextual, and efficient for our users.
- Growth and activation: Work on features that help new users discover Notion's value, improve onboarding experiences, and increase user engagement.
- Platform and infrastructure: Contribute to the systems that power Notion's backend services, ensuring reliability, scalability, and performance as our user base grows.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
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
Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly.
This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace.
Responsibilities
Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve
Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system
Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams
Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic
Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change
Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design
Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase
Help set technical standards and best practices for the team, and mentor other engineers
Minimum Qualifications
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Strong software engineering fundamentals and hands-on coding ability
Experience making architectural decisions that other engineers and teams build on top of
Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
Demonstrated ability to operate effectively in ambiguous, fast-changing environments
Strong candidates may also have
Experience building infrastructure or platforms specifically for research or machine learning workflows
Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems
Experience with distributed systems, cloud infrastructure, and infrastructure-as-code
Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research
Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy
Prior experience as a technical lead or mentor for other engineers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Lemont, United States
Workplace: none
As an
Enterprise Sales Executive
, you will lead our efforts to build strong relationships with large logistics organizations and close high-value deals for our cutting-edge TMS platform. This is an outstanding opportunity for a driven sales professional with a passion for logistics technology and a proven track record of enterprise software sales success.
Key Responsibilities in SaaS and TMS Sales
Business Development:
Identify, target, and engage enterprise-level logistics organizations. Build and manage a strong pipeline of qualified prospects in the transportation and supply chain industry.
Solution Selling:
Effectively position and present Spotter’s TMS and logistics software solutions to decision-makers, addressing specific pain points and delivering tailored product demonstrations.
Enterprise Relationship Management:
Develop deep relationships with C-level executives and key stakeholders, understanding their business needs and long-term logistics strategy.
Lead the Sales Cycle:
Own the sales process from initial outreach to contract negotiation and closing, collaborating closely with technical, product, and customer success teams.
Market Intelligence:
Stay current on transportation software competitors, logistics technology trends, and customer needs to inform sales strategy and market positioning.
Meet and Exceed Targets:
Consistently achieve or surpass assigned revenue goals to contribute to the growth of Spotter’s enterprise client portfolio.
Required Qualifications for Logistics Software Sales
Enterprise Sales Experience:
2+ years of proven success selling SaaS, logistics technology, TMS, or related enterprise software solutions to the transportation or supply chain sector.
Technical Acumen:
Comfort discussing software product features, integrations, and logistics process automation with both business and technical audiences.
Consultative Selling Skills:
Demonstrated ability to identify unique customer needs and customize solutions to win enterprise accounts.
Communication & Presentation:
Excellent verbal and written communication skills. Skilled at delivering engaging product demos and proposals to diverse audiences.
CRM Proficiency:
Experience managing opportunities and reporting progress using CRM platforms.
Preferred Skills and Industry Knowledge
Deep understanding of transportation management systems (TMS), logistics software, and supply chain processes.
Knowledge of industry challenges, regulatory environment, and trends in digital transformation for logistics.
Strong negotiation, stakeholder management, and strategic account planning capabilities.
Experience selling into trucking, brokerage or shipping is a plus.
Why Join Spotter’s TMS Sales Team?
Market-Leading Product:
Represent a best-in-class TMS and logistics software platform that is shaping the future of transportation technology.
Growth and Advancement:
Be part of a rapidly expanding company with significant opportunities for career advancement.
Innovative Culture:
Join a collaborative, tech-driven team committed to making an impact in the logistics industry.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack.
You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows.
What You'll Be Doing
Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling.
Manage and optimise application security tools, processes, and alerts to maintain a strong security posture.
Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams.
Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention.
Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms.
Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis.
Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation.
Participate in incident response and management activities.
Stay current on the latest offensive security techniques, application security threats, and industry best practices.
What We Look For In You
5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms.
In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications.
Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats.
Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation.
Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work.
Strong analytical and problem-solving abilities with excellent verbal and written communication skills.
Nice-To-Haves
Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million.
Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries.
In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities.
Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers.
Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning.
Ability to work across multiple mobile platforms simultaneously.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ML1 #LI-ONSITE
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. They are trusted by 300+ million people in 100+ countries for their industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. They leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Задачи:
— Присоединиться к полному жизненному циклу разработки программного обеспечения, включая сбор требований, проектирование, кодирование, тестирование и развертывание.
— Проектировать и реализовывать масштабируемые и надежные системы на базе Java.
— Сотрудничать с командами для определения системных требований и архитектурных решений.
— Разрабатывать и оптимизировать инфраструктурные компоненты, такие как базы данных, серверы и сети.
— Внедрять автоматизированные решения для развертывания и мониторинга для повышения надежности системы.
— Выявлять и устранять узкие места в производительности и системные проблемы.
— Реализовывать техники кэширования, балансировки нагрузки и оптимизации.
— Поддерживать полную документацию, связанную с архитектурой системы и процессами развертывания.
— Мониторить состояние системы, устранять неполадки и внедрять обновления для обеспечения бесперебойной работы.
Требования:
— Степень бакалавра/магистра в области компьютерных наук, инженерии или эквивалентный опыт в индустрии.
— 1-6 лет практического опыта работы с JVM и экосистемой Java.
— Владение MySQL и знакомство как минимум с одной NoSQL базой данных.
— Знание проектирования распределенных систем и знакомство как минимум с одним посредником сообщений и принципами его проектирования.
— Способность справляться со стрессом и быстро усваивать новые знания.
— Хорошие навыки межкомандного общения.
Задачи:
— Руководство командой Algorithmic Pricing и поддержка личного и карьерного роста инженеров.
— Обеспечение высокой надежности и низкой задержки системы, управляющей стоимостью доставки в более чем 60 странах.
— Сотрудничество с продуктовыми командами для технического направления и проектирования итеративных решений.
— Ответственность за технические метрики, KPI, мониторинг и оповещения команды.
— Контроль выполнения функционала в небольших, ориентированных на ценность итерациях.
Требования:
— Подтвержденный опыт технического руководства и управления, согласованного с бизнес-целями.
— Глубокое понимание JVM-технологий (Java/Kotlin).
— Опыт работы с микросервисами, API-ориентированными и событийно-ориентированными коммуникациями.
— Знание инфраструктуры как кода (IaaC), в частности Kubernetes и AWS.
— Опыт управления кросс-функциональными командами и зависимостями.
Будет плюсом:
— Знакомство с A/B тестированием.
— Опыт в области ценообразования.
— Способность активно поддерживать младших разработчиков.
Условия:
— Гибридный формат работы с обязательным присутствием 2 дня в неделю в офисе в Берлине.
— 27 дней отпуска с дополнительными днями в зависимости от стажа.
— Бюджет на образование €1,000 и доступ к Udemy Business.
— Медицинские обследования, медитация, абонементы в спортзал и субсидии на велосипед.
— Программа покупки акций сотрудниками, корпоративный пенсионный план, страхование жизни и от несчастных случаев.
— Полная поддержка при переезде в Берлин.
Задачи:
— Разрабатывать надежные backend-системы и проектировать масштабируемые data pipelines и решения для хранения данных, поддерживающие сложный сбор, обработку и анализ данных.
— Владеть полным жизненным циклом продуктов: от бизнес-требований, выбора технологий, стандартов кодирования, agile-разработки, юнит- и интеграционного тестирования, CI/CD до мониторинга.
— Повышать производительность систем, создавая стабильные, масштабируемые и высокопроизводительные решения для финансовой сферы.
— Писать качественный код и помогать другим писать качественный код, наставлять команду и более широкий круг.
— Сотрудничать с другими командами и отделами.
— Вдохновлять инновации и реализовывать видение компании.
— Способствовать межфункциональному сотрудничеству для достижения целей продукта и технологий.
— Участвовать в подборе и адаптации талантливых сотрудников.
Требования:
— Опыт 8+ лет с сильными навыками в Java, Kotlin, Scala или C# и доказанным опытом разработки высокопроизводительных приложений в продакшене.
— Опыт работы с big data технологиями, такими как Hadoop, фреймворками для обработки в реальном времени (например, Apache Spark), продвинутые знания SQL и архитектуры данных.
— Системное мышление: понимание крайних случаев, режимов отказа и жизненных циклов.
— Метрики и принятие решений на основе данных.
— Страсть к разработке ПО и постоянное совершенствование навыков.
— Опыт работы по Scrum/Agile.
— Отличные навыки устного и письменного английского.
— Опыт операционного совершенства, понимание метрик, алармов и дашбордов.
— Приветствуется опыт работы в современной FinTech или платежной организации.
— Знания в области финансовой сверки, отчетности, налогов, методов выплат, таких как виртуальные кредитные карты или клиентские платежи.
— Практический опыт с технологиями Spark для обработки данных, ETL для data pipelines и системами очередей (Kafka, RabbitMQ).
— Опыт работы с инфраструктурными инструментами, такими как GitLab для контроля версий и CI, Kubernetes.
— Опыт разработки, поддержки и отладки крупномасштабных распределенных систем.
— Опыт руководства проектами, инициативами и/или командами с полной ответственностью за системы.
Условия:
— Работа в офисе в Бангкоке, Таиланд.
— Предоставляется релокация.
Location: US, San Diego, CA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We’re hiring a Software Engineer to join our Platform Infrastructure team in San Diego. You’ll partner with a technical lead engineer and embedded in device identity and security—this is one area form the backbone of how we build, provision, deploy, and manage our robots at scale.
You will have the opportunity to contribute to:
- Device Identity & Security — The cryptographic chain of trust from secure boot through disk encryption and device attestation to cloud enrollment. Key management infrastructure, certificate lifecycles, and the tooling that ensures only trusted software runs on trusted hardware.
This role is designed for someone who is curious, technically sharp, and eager to learn, grow and build. Much of what you’ll work on—from secure boot pipelines to fleet-scale cloud infrastructure—isn’t taught in a classroom. We’re looking for the right attitude, aptitude and experience. We’ll invest in continuing your development into a world class platform engineer.
WHAT YOU'LL DO
Our platform infrastructure spans from the factory floor to the cloud and everything running on the robot in between.
- Build and ship software — Write production-quality code that contributes to our platform infrastructure, from backend services and automation tooling to provisioning and test systems.
- Learn alongside experts — Pair directly with a senior engineer who will mentor you in your focus area while giving you real ownership of deliverables.
- Collaborate across a global team — Work daily with firmware, applications, cloud, manufacturing, systems, and operations team members across the local San Diego office and global offices in London, Boston, and Vancouver.
- Embrace agentic development workflows — Use modern AI-assisted coding tools and practices we expect everyone on the team to leverage these to move faster with higher quality.
- Own your growth — As the team scales and business needs evolve, your focus within the platform infrastructure workstream will grow with you.
WHAT WE'RE LOOKING FOR
- Strong technical communication — You can explain your thought process clearly to a technical teammate, in writing and in person.
- Receptive to feedback — You have a demonstrated history of receiving and responding to feedback constructively.
- Leans into hard problems — You don’t shy away from unfamiliar territory; you dig in and figure it out.
- Humble — You are able to put your own ideas aside, listen, and genuinely consider others’ perspectives.
- Collaborative — You see knowledge as something to share, not withhold, in order to solve problems faster, together.
- Responsible — You strive to understand the “why” of your work and have the passion and ambition to push to get it over the line.
- Technically grounded — You have a solid foundation in CS fundamentals and can write clean, readable code even if you’re still building experience in our specific stack.
Experience:
- 5+ years of professional experience.
- B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Proficiency in at least one systems or backend language (Python, C/C++, TypeScript, or Rust).
- Proficiency in AI tools for research, iteration, feedback, development and test.
- Comfort working in Linux environments.
- Ability to work on-site at our San Diego office.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $155,000-$185,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: Remote - Canada
We’re introducing Rust where correctness, performance, and reliability truly matter.
Narvar
is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us
bring Rust into the backbone of the system
— the parts that must be fast, safe, and correct under real-world scale.
This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide
what
gets built and
how
it should be built.
For this role, you should be located in Canada and able to work within EST/EDT or PDT/PST hours. We are fully remote.
Day-to-day
Design and build
high-correctness Rust services
that sit on critical platform paths
Introduce Rust into areas where safety, determinism, and performance are essential
Own systems from
architecture → implementation → rollout → operations
Make real decisions around concurrency, async boundaries, data integrity, and failure modes
Work across service boundaries in a
polyglot environment
(Rust alongside other stacks)
Collaborate with product, design, and frontend engineers to build systems that are technically sound
and
product-aware
Improve reliability, observability, and system behavior through design, not just patching
Mentor other engineers and raise the bar on system quality and ownership
What We’re Looking For
We care more about
judgment and ownership
than credentials.
You’re likely a strong fit if you:
Have built and operated
distributed systems
in production
Have
deep hands-on Rust experience
(not just experiments or side projects)
Understand where Rust shines — and where it doesn’t
Are comfortable reasoning about
concurrency, async systems, and correctness guarantees
Have experience designing APIs and data contracts that evolve safely over time
Have worked with
relational and/or NoSQL databases
at scale
Have deployed and operated services in
AWS or GCP
(We are a GCP Shop though!)
Take initiative naturally and are comfortable operating with ambiguity
Communicate clearly and make tradeoffs explicit
Bonus Points
These aren’t hard requirements, but strong indicators:
You’ve worked in
startup or high-ownership environments
You’ve owned systems in production, including on-call responsibility
You’re comfortable moving across the stack when needed (backend-first, full-stack aware)
You’ve influenced architecture by earning trust, not by mandate
You use modern tooling (including AI-assisted workflows) to
increase leverage
, not outsource thinking
(Note: we care about outcome and judgment, not how flashy your tools are.)
Why Rust at Narvar?
Because some parts of the system deserve stronger guarantees.
We use Rust where:
Bugs are expensive
Latency and throughput matter
Safety and correctness are non-negotiable
You’ll help define
where Rust belongs
, not just write Rust in isolation.
Why Narvar (From an Engineer’s Perspective)?
Real scale, real customers, real impacts
Startup-level ownership with platform-level impact
Teams that value
thinking, judgment, and responsibility
Low ego, high trust, and room to do your best work
Why Narvar?
We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!
From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.
Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-Remote
Please read our
Privacy Policy
to learn what personal information we collect in connection with your job application, and how we may use and share it.
Задачи:
— Развивать и улучшать основную платформу.
— Улучшать опыт разработчиков, обновляя внутренние библиотеки и фреймворки.
— Вносить вклад в платформу event store.
— Участвовать в разработке внутренних open-source библиотек.
Требования:
— Свободное владение Java.
— Опыт backend-разработки не менее 6 лет.
— Опыт работы с распределёнными системами и CI/CD.
— Высшее образование в области компьютерных наук, математики, физики или смежных областях.
— Умение эффективно работать в команде в динамичной среде.
— Свободное владение английским языком на уровне C1.
Будет плюсом:
— Владение Kotlin или Scala.
— Опыт работы в финансовой сфере.
— Опыт работы в стартапах или масштабируемых компаниях.
— Практический опыт работы в продуктовой среде.
Условия:
— Работа в мультикультурной команде.
— Компания сертифицирована как Great Place to Work™.
— Приверженность разнообразию и инклюзивности.
— Возможность работать из офисов или удалённо в указанных европейских странах.
Процесс найма:
— Откликаться только через официальные каналы Revolut.
— Проверять, что все коммуникации приходят с домена @revolut.com.
— В процессе найма не запрашивается оплата или личная финансовая информация.
УдалённоseniorГеография найма не уточнена
seniorUnited States, San Mateo, CA
Toronto, Ontario, Canada
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