Location: Brazil; Argentina; Honduras
Workplace: Remote
ABOUT THE ROLE
We’re splitting our Analytics & Reporting group into two focused teams: a Data Engineering team that owns data acquisition and the company-wide data platform, and an App team that owns everything our customers touch, including the data-serving APIs, the Analytics section of the Uberall platform, and the reports that turn location data into decisions.
We’re hiring the lead for the App team. You’ll be a player-coach: you’ll manage and grow a team of six engineers (3 backend, 2 frontend, 1 QA), partner daily with two Product Managers, a Designer, and a UX Researcher, and stay meaningfully hands-on. Roughly 20–30% of your time is spent on architecture, code reviews, and code. You’ll work as a peer to the Lead Data Engineer, with a close, explicit contract between your team’s customer-facing products and the data platform that feeds them.
This is a role for someone who has led before and still loves to build.
WHAT YOU’LL OWN
- Customer-facing data APIs: the public APIs enterprise customers use to access their data, and the microservices behind them.
- The Analytics product: the Analytics section of the Uberall platform, including its frontend, filtering experience, and the APIs powering custom reports.
- Customer reporting: the QuickSight reports our customers rely on, and the gold-layer datasets that feed them. Your team owns its data models end-to-end, built on the self-serve platform the Data Engineering team provides.
- Production: you build it, you run it. Your team deploys and operates its own services (Kubernetes on AWS), owns its observability and SLOs, and runs its own on-call rotation. You lead the incident process.
- The team: hiring, growth, 1:1s, delivery, and the engineering culture of a newly formed team. With one QA engineer among six, you’ll make quality everyone’s job.
WHAT YOU’LL DO IN YOUR FIRST YEAR
- Stand up the App team as a healthy, autonomous unit: clear ownership, sustainable delivery cadence, and strong working relationships with Product, Design, and the Data Engineering team.
- Co-own, from the application side, the in-flight migration of data pipelines out of our monolith and into the Data Engineering stack. Your backend engineers keep those pipelines running and hand them over cleanly, so your team can focus fully on APIs and product.
- Drive the modernization of our backend estate: the stack is consolidating on Kotlin, and legacy Groovy and Scala services need a pragmatic path forward.
- Shape the next chapter of Analytics: AI-assisted insights in the product, and exposing your team’s data and APIs for consumption by AI agents through the company’s data gateways.
WHAT WE’RE LOOKING FOR
- 7+ years of software engineering experience, with deep backend expertise on the JVM (Kotlin strongly preferred; our stack: Kotlin, Spring Boot, Postgres).
- 2+ years leading an engineering team with genuine people responsibility (hiring, 1:1s, performance, and delivery) while staying hands-on.
- Experience designing, operating, and evolving microservices in production: Kubernetes, AWS, observability, SLOs, and incident management. You’ve run an on-call rotation, not just been on one.
- Strong SQL and analytical data modeling skills. Your team owns the datasets behind customer reports, and you can reason about them credibly.
- Experience with RESTful, service-oriented architectures serving external customers at scale.
- Enough frontend fluency (React, TypeScript) to lead frontend engineers well. You review their thinking, not their semicolons.
- Experience navigating legacy systems and migrations. You can modernize without stopping the world.
- Professional working English (read, write, speak) and comfort collaborating across a remote, distributed organization.
NICE TO HAVE
- Experience with Groovy, Scala, or Python - the languages of our existing services.
- Experience with BI tooling (Amazon QuickSight or similar) and data warehouse platforms (Databricks, Snowflake, Redshift).
- Experience building LLM-powered product features or exposing data/APIs to AI agents.
Location: Linz, Austria
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
Join TeamViewer's Session Insights team and help redefine how millions of users work with AI. You will play a key role in building intelligent experiences that transform raw session data into meaningful insights, automation, and productivity gains for customers worldwide. Working at the intersection of AI, software engineering, and product innovation, you will help shape TeamViewer Session Insights and the next generation of AI-powered capabilities that make remote support, IT operations, and digital workplaces smarter, more efficient, and more human. Your work will directly influence how customers understand, optimize, and automate their daily workflows while contributing to one of TeamViewer's most strategic AI initiatives.
Build AI-powered capabilities for TeamViewer Session Insights and the broader AI platform.
Design and develop services that enable intelligent workflows, automation, and seamless user experiences.
Define testing and evaluation approaches to ensure AI features meet quality, reliability, and performance standards.
Improve AI solutions through experimentation, iteration, and data-driven decision making.
Optimize AI services for scalability, performance, cost efficiency, and reliability in production environments.
Partner with product, platform, and security teams to deliver secure and impactful customer-facing capabilities.
Contribute to engineering best practices and leverage AI-assisted development tools to increase productivity and quality.
Requirements
7+ years of software engineering experience with strong Python expertise and a track record of delivering production-grade systems. Java/Kotlin experience are a plus.
Hands-on experience building and deploying AI-powered applications, platforms, or intelligent automation solutions.
Experience working with modern AI technologies, including LLMs, retrieval systems, tool integrations, and workflow orchestration.
Proven ability to define success metrics, evaluate system performance, and use data to improve outcomes.
Strong understanding of software architecture, distributed systems, and cloud-based applications.
Familiarity with the challenges of deploying AI systems in production, including reliability, security, scalability, and performance.
Experience using AI-assisted development tools while maintaining high standards for code quality and maintainability.
Strong communication and collaboration skills with the ability to work effectively across global teams.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
An
attractive compensation package
above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.954, with ST2/rule: EUR 4.611 gross/month)
28 days
of well-deserved
holidays
Great benefits
package including company achievement bonus
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular team
events
and company-wide
celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The
Reddit Consumer Engineering
organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit.
This centralized role hires across several high-impact consumer teams, including:
Core Product & Feeds:
Home Experience, Recommendations & Content Discovery, Content Contribution
Community & Presence:
Reddit Pro, Youth Experience & Teen Safety, Creator Tools
Growth & Engagement:
Authentication, Notifications, Social Sharing, SEO, Onboarding.
Monetization & Conversion:
Paid User Acquisition, Conversion Funnel Optimization
Identity & Security:
Account Management, Trust & Safety
What You’ll Do
Cross-Functional Product Architecture:
Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions.
End-to-End Delivery:
Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability.
Metrics & Experimentation-Led Engineering:
Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions.
API & System Performance:
Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance.
Technical Rigor & Modern Tooling:
Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently.
Who You Are
User-Centric Mindset:
An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about
why
a feature is being built and its impact on the end user.
Data-Informed & Hypothesis-Driven:
Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback.
Technical Rigor at Scale:
3+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments.
Bias for Action:
Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential.
Collaborative Communicator:
Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments.
Technical Qualifications
Languages:
Proficiency in modern backend languages such as
Go
or
Python
(or Java, Kotlin, Rust, C++).
API Design:
Expertise in designing and maintaining scalable, maintainable APIs using
GraphQL
,
REST
, or
gRPC
for native mobile and web applications.
Data & Caching:
Experience with high-throughput caching layers and distributed datastores (e.g.,
Redis
,
Cassandra
,
PostgreSQL
).
Modern Workflows:
Experience or interest in using AI-assisted engineering tools to accelerate development workflows.
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$164,000
—
$229,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers.
Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them.
This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office.
WHAT YOU'LL DO
- Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API.
- Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters.
- Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down.
- Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality.
- Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters.
- Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.
- Mentor senior and staff engineers, and raise the bar for how the whole org builds.
WHAT YOU HAVE
- 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above.
- Depth in full stack, backend, or agents/AI — and enough range to be useful outside it.
- Experience building scalable, extensible systems that support multiple product lines.
- Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail.
- Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs.
- You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short.
- A history of influencing and aligning engineers and leaders well outside your direct scope.
- Strong programming skills and general Computer Science knowledge.
- Grit — experience working at early-stage startups is a plus.
COMPENSATION
$231,000 – $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-PM1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers.
Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them.
This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office.
WHAT YOU'LL DO
- Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API.
- Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters.
- Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down.
- Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality.
- Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters.
- Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.
- Mentor senior and staff engineers, and raise the bar for how the whole org builds.
WHAT YOU HAVE
- 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above.
- Depth in full stack, backend, or agents/AI — and enough range to be useful outside it.
- Experience building scalable, extensible systems that support multiple product lines.
- Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail.
- Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs.
- You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short.
- A history of influencing and aligning engineers and leaders well outside your direct scope.
- Strong programming skills and general Computer Science knowledge.
- Grit — experience working at early-stage startups is a plus.
COMPENSATION
$231,000 – $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-PM1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco, CA
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:
The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond.
We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent.
Responsibilities:
Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem
Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications
Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
Implement automated testing, deployment, and rollback systems for ML models in production safety applications
Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
Contribute to the development of internal tools and frameworks that accelerate safety research and deployment
You may be a good fit if you:
Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently
Have implemented A/B testing frameworks and experimentation infrastructure for ML systems
Are results-oriented, with a bias towards reliability and impact in safety-critical systems
Enjoy collaborating with researchers and translating cutting-edge research into production systems
Care deeply about AI safety and the societal impacts of your work
Strong candidates may also have experience with:
Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment
Working with large language models and modern transformer architectures
Developing monitoring and alerting systems for ML model performance and data drift
Experience in trust & safety, fraud prevention, or content moderation domains
Knowledge of privacy-preserving ML techniques and compliance requirements
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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
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:
The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down.
What you'll do:
Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines.
Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through.
Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow.
Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization.
You may be a good fit if you:
Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation.
Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load.
Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing.
Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites).
Strong candidates may also have:
8+ years of industry software engineering experience.
Familiarity with LLM inference systems and transformer-based models (not required, but a plus).
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: United States
Workplace: Remote
As a Senior Software Engineer at Coder, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.
You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.
What you’ll do here
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Improve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Build reliable integrations between agents, workspaces, tools, and developer infrastructure.
- Own projects from implementation through rollout and iteration.
- Contribute to design reviews, code reviews, and technical discussions.
- Partner with Product and Design to turn agent capabilities into useful developer experiences.
- Improve the reliability, performance, and operability of agentic systems.
What we’re looking for
- Strong experience building and operating production software systems.
- Hands-on experience with Go.
- Experience with React and TypeScript.
- Experience building systems around LLMs or agentic workflows.
- Familiarity with model APIs, tool calling, context management, or agent loops.
- Good understanding of distributed systems and production reliability.
- Working knowledge of AWS.
- Strong problem-solving skills and comfort working through technical ambiguity.
- Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.
Bonus tacos if you have
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with MCP, agent tools, or multi-agent systems.
- Experience with remote execution, sandboxing, or isolated compute.
- Experience building integrations across multiple model providers.
- Experience with AWS, Kubernetes, Docker, or Linux.
- Open-source contributions or experience working directly with customers.
Our tech stack
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: The Netherlands; Portugal; United Kingdom; Spain; Germany
Workplace: Remote
NOTE: This position can be remote in any EMEA country ClickHouse has a hiring presence.
We are hiring talented Full Stack Software Engineers for our Control Plane team.
The team focuses on great user experience, seamless, automated, and scalable cloud infrastructure deployment, and lifecycle management.
We build and maintain the Cloud Console—a sophisticated web application that lets users manage organizational resources such as database services and user access, run queries through a powerful SQL IDE, explore data with interactive dashboards, and monitor system performance.
If you’re excited about creating robust cloud platforms, this team could be a great fit.
What will you do?
- Design and deliver a scalable, highly available, resilient, and secure cloud-base infrastructure.
- Collaborate with cross-functional teams to define, design, and ship application features.
- Ensure the performance, quality, and responsiveness of applications and infrastructure.
- Identify and correct bottlenecks and fix bugs.
- Help maintain code quality, organization, and automation.
- Participate in code reviews and contribute to a culture of continuous improvement.
About you:
- 6+ years of software engineering experience, including 3+ years in cloud computing (AWS, Azure, or GCP) or platform engineering.
- Strong proficiency in Typescript, Node.js and React.
- Familiarity with RESTful APIs and JSON.
- Understanding of fundamental design principles for scalable applications.
- Proficient understanding of code versioning tools, such as Git.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with ClickHouse
- Knowledge of CI/CD pipelines
- Previous experience in developing analytics or data-intensive applications
Nice to Have:
- Experience with Auth0, or similar integrations
- Monorepo experience (Yarn workspaces, TurboRepo, Nx)
- Previous work on developer tools, IDEs, or BI platforms
- WebSocket/real-time features
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Location:
Austin, TX (US), San Francisco, CA (US), New York City (US), Washington D.C. (US), London (UK)
Cloudflare’s Infrastructure Team builds and runs the systems and software that support our solutions that handle trillions of requests per month. We ensure that all of the new and existing features and functionality that Cloudflare offers can be managed at scale and meet the needs of our massively growing, global customer base.
About the role
As a Senior Software Engineer in the Deploy@Scale team, you will provide technical leadership for the platform that powers safe, reliable, and automated deployments across Cloudflare. This is a senior IC role: you will set technical direction across multiple work streams, not just execute within one.
You'll be expected to operate with significant autonomy - identifying the right problems to solve, driving architecture decisions that will hold up over multiple years, and influencing how dozens of engineering teams across Cloudflare think about safe change. You will partner directly with your EM and leadership to shape the multi-quarter roadmap, and you'll be a primary technical voice in cross-team design reviews, RFCs, and incident retrospectives that touch deployment safety.
You'll spend meaningful time unblocking and elevating the rest of the team: reviewing designs before they become code, pairing on the hardest problems, and raising the technical bar through mentorship - without needing to be a people manager to do it. You'll be defining what the platform is, deciding what not to build, and making the tradeoffs which ensure the system is safe, fast, and scalable five years from now.
Where we're heading
From human-in-the-loop to machine-in-the-loop:
fully automated, health-mediated deployments as the default, at hundreds of thousands of releases a day.
Consolidating a fragmented landscape:
unifying release orchestration, health mediation, feature flagging, and configuration rollback into one coherent platform.
AI as a first-class part of the platform
: you'll help define where and how AI assists both the platform and the humans operating it.
This is a unique opportunity to work on complex, globally distributed systems that underpin every Cloudflare product. You will play a key role in advancing the infrastructure that enables fast, safe delivery of changes to production, directly impacting the reliability and velocity of Cloudflare's global network. You will collaborate with the team to understand business needs and develop technical solutions, working closely with internal customers to turn their workflows into platform capabilities. You will thrive in a fast-paced iterative engineering environment with short release cycles.
This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.
Examples of desirable skills, knowledge, and experience
8+ years of hands-on software engineering experience, including a track record of owning the architecture of complex, distributed, production-critical systems end to end.
Demonstrated technical leadership beyond your own code: driving RFCs and design reviews that other senior engineers and teams rely on, and being sought out as a technical escalation point.
Judgment for ambiguity — comfortable defining the problem and the roadmap, not just the solution, in an environment where requirements are not fully specified upfront.
Deep experience with safety, observability, and automation in production systems: designing rollback paths, health signals, and guardrails that other systems and teams build on top of.
Experience influencing technical direction across team boundaries — through architecture, mentorship, or platform APIs/contracts — without direct authority.
Comfort operating in a fast-moving environment with AI as a working tool: fluent use of AI-assisted development, critical evaluation of its output, and a point of view on where it should and shouldn't be trusted in a safety-critical system.
Experience with workflow orchestration, long-running/durable execution, or large-scale distributed systems is a strong plus.
Strong written and verbal communication — this role requires writing docs and RFCs that persuade and align, not just describe.
Bonus points
Prior experience owning a deployment, progressive delivery, or change-management platform at scale.
Experience leading a technical migration across many independent teams (e.g., a platform sunset/replacement).
Compensation
Compensation may be adjusted depending on work location.
For San Francisco based hires: Estimated annual salary of $194,000 - $266,000
For Washington D.C. and New York City based hires: Estimated annual salary of $185,000 - $254,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Amphoe Mueang Chiang Mai, Thailand
Workplace: none
The Senior Software Development Team Coordinator (Thailand) is the operational right hand of the Thailand Team Leader within the Sitebuilders Chiang Mai team. This role supports the Team Leader to operate at a strategic and technical level — by owning the people rhythm and day-to-day operational layer of the Thailand hub. The Software Development Team Coordinator reports directly to the Thailand Team Leader and works in close partnership to ensure strong team operations, delivery consistency, and people development across the Thailand hub. This role is not intended to act as a buffer between the Team Leader and the team, but rather as a strong operational partner who increases the effectiveness of both. Success in this role is measured by the health and performance of the team, as well as by the Team Leader’s ability to focus on high-impact strategic and technical responsibilities.
Responsibilities
People Leadership & Team Development
• Serve as the primary people manager for Thailand-based engineers — owning regular 1:1s, feedback cycles, and individual development plans in close coordination with the Team Leader.
• Monitor team morale, identify and report risks early, and address interpersonal issues with discretion before they escalate to the Team Leader.
• Support engineers' career progression by identifying growth opportunities and skill gaps, aligned with the Team Leader and UXM Architect’s technical direction.
• Lead onboarding coordination for new Thailand-based hires, ensuring a smooth transition into the team's ways of working.
• Build and reinforce a team culture of ownership, initiative, and continuous improvement — consistent with the Team Leader's vision for the team.
Delivery & Operational Coordination
• Track Kanban progress across the Thailand team, ensuring blockers are surfaced and resolved without pulling the Team Leader away from technical priorities.
• Manage day-to-day task allocation and priority adjustments in fast-switching delivery cycles within a Kanban system.
• Compile and deliver structured monthly reports to upper management layers detailing overall team status, KPI metrics, operational delivery risks, and sensitive people or performance issues. Every identified issue, bottleneck, or risk must be accompanied by a concrete, actionable remediation plan to improve and resolve the situation dynamically.
• Oversee accurate time logging and estimation integrity across the team (including for the Deputy role itself).
Technical Contribution & Stability Support
• Assist the Front-End Team Leader in identifying potential personnel or project risks and help formulate contingency plans.
• Support the Project Anchors and the Stability Unit by ensuring developers are available and focused during critical production fixes.
• Maintain sufficient technical credibility to follow engineering discussions, understand the team’s work, and ask relevant questions. While this role is not the primary technical authority, it is expected to operate confidently and effectively within technical conversations.
• Act as a first-level escalation point for day-to-day operational and process questions, resolving escalations before it reaches the Team Leader.
• Uphold UXM documentation requirements and Definition of Done compliance within the team.
Hiring Support
• Participate in hiring panels for Thailand-based frontend roles, providing structured feedback on culture fit, communication, and working style.
• Assist in scoping role requirements in coordination with the Team Leader.
Requirements
Experience:
At least 2 years of experience in a people management or team coordination role in a tech team.
Preferred Qualifications: Familiarity with Front End frameworks and web technologies (HTML, CSS, JS (React, Angular etc.)). We value the ability to translate technical constraints into project timelines, ensuring you can accurately assess scope and complexity during the planning phase.
• Genuine people leadership instinct — you find energy in developing others, you notice when someone is struggling before they say it, and you handle sensitive conversations with care.
• Organized, dependable, and calm under pressure — the team should feel steadier because you are in the room.
• High level of initiative, ownership, and leadership mindset.
• Strong communication skills in English; able to represent team dynamics and delivery status clearly to the Team Leader and upward when needed.
• iGaming or SaaS platform experience is an advantage.
Here's what we offer:
· Start with 20 days of annual leave, with 2 additional days added each year (up to 30 days by your fifth year with us), along with 13 public holidays per year.
· Enjoy a flexible hybrid work schedule after your first three months with us.
·
Support for New Parents:
- 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
- 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations.
Benefits & Perks:
· Monthly meal allowance
· Medical Subscription and Annual Physical/Medical check-up.
· Access online learning platforms like Udemy for Business and a budget for external training.
· Gym allowance.
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
Location: Lisbon
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Software Engineer plays role in a team is technically responsible for particular feature delivery which consists of:
Presenting a solution to Architects
Technical drive feature delivery, make decisions, development leadership - distribute tasks across one or two regular engineers
Work with QA to review testing approaches, provide all details needed for testing, and review test plans
Be responsible for all internal feature documentation
Job Duties and Responsibilities:
Work closely with Tech leads and architects, Kanban master, QA and PM to deliver high-quality work
Complex features development
Provide good code coverage in unit and integration testing
Be ready for every day technical decisions
Professional communication with other cross-functional team representatives
Be ready for sustenance in areas under engineer's responsibility
Skills You Must Have:
2+ years of experience in enterprise application design, development
2+ Experience in backend applications development
Proven ability to deliver solutions, offer implementation support, and engage with customers.
1+ years of experience in building scalable distributed data systems using Java and Cloud Technology.
Good technical background with previous development experience for enterprise customers
Strong Java knowledge (Java 8 and above), Java Runtime basics
Provide Technical mentorship and leadership to junior team members.
Hands-on technically, comfortable reviewing and writing code.
Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
Experience in performance optimisations, code profiling, and Java application runtime analysis
Skills That Are Nice to Have:
Experience in customer support in the SaaS area
Experience in building scalable distributed data systems using Cloud Technology
Technical background with previous development experience for enterprise customers
Experience with Big Data Technologies
Experience with No-SQL databases
Experience with cloud-managed services - AWS, GBT, Azure
MS or equivalent experience
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: Portugal; Brazil; Poland; Argentina; India; Pakistan
This position is open to candidates worldwide, meaning you can apply and work from anywhere as long as you meet all the requirements.
As a Staff Software Engineer, you will be at the core of one of the most technically demanding challenges in modern web infrastructure: optimizing how web traffic is intercepted, processed, and delivered at massive scale across an edge computing platform. You will work on a system handling tens of thousands of requests per second and tens of billions of dollars of annual e-commerce volume, alongside a small, high-caliber engineering team where every engineer owns a meaningful piece of the system.
This is not a ticket-execution role. You will be a technical leader in architecture and design, collaborating directly with the CTO and lead platform engineer to define how the platform evolves. You will plan rollouts methodically, define success metrics before shipping, debug complex cross-browser and cross-device behavior, and build systems that cannot fail.
Responsibilities
Design, build, and scale the core platform infrastructure handling high-volume web traffic at the CDN and edge computing layer
Take an active technical leadership role in architecture design, technical planning, and authoring design documents with a long-term view
Plan and execute gradual, methodical rollouts: define target audiences, KPIs, and success metrics before shipping significant changes
Debug complex front-end behavior caused by backend platform changes across all browsers, devices, and geographies
Collaborate with the data engineering team to ensure testability at scale and build the right measurement and observability framework
Solve high-complexity technical problems with significant scope and ambiguity, where few established playbooks exist
Mentor engineers and serve as a point of technical escalation for complex platform challenges
Stay current with emerging web performance technologies, edge computing patterns, and browser optimization techniques
Embrace and integrate AI coding tools into your engineering workflow to accelerate delivery and improve code quality
Requirements
10 years of software engineering experience with a strong background in building and scaling high-traffic, multi-tenant web platforms
Expert-level proficiency in TypeScript (primary language), JavaScript (real JS, not just framework-level), and Python
Demonstrated experience designing and operating distributed, high-availability systems at meaningful scale
Cloud platform experience: AWS, GCP, or Azure (cloud agnostic environment)
Experience with CDN infrastructure and web performance optimization: tools such as Cloudflare, Lighthouse, WebPageTest, and techniques such as web workers, lazy loading, and code splitting
Infrastructure as Code experience (Pulumi or equivalent)
Strong SQL and data querying skills; ability to work with data warehouses and build data-driven engineering decisions
Experience with message queues (SQS, Kinesis, or equivalent) and CI/CD pipelines
Data storage: PostgreSQL, Redshift, or equivalent
Strong problem-solving skills and detail orientation: understands that at massive traffic scale, edge cases are not edge cases
Active AI tool usage in engineering workflow: Claude Code, GitHub Copilot, Codex, or equivalent
Strong English communication: comfortable in technical discussions and async written collaboration with a distributed team
Available to work full Eastern Standard Time hours
Be legally authorized to work as independent contractor in the country where you are located
Preferred
Cloudflare Workers or edge computing experience (highly preferred given the platform architecture)
E-commerce platform experience: Shopify, Salesforce Commerce Cloud, or similar
Snowflake or data warehouse query optimization experience
Media or high-traffic publishing platform background
Experience running or leading a multi-brand or multi-tenant web platform
Prior startup experience where you owned significant platform surface area with a small team
Agile/Scrum experience in a distributed team environment
Benefits
Salary:
$9,000 to $12,000 USD per month
PTO:
15 days
Holidays:
Local or US holidays
Location: Oakland, California, United States
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
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a
Senior Staff Software Engineer
to join our Systems Engineering team and lead the engineering behind our internal AI-powered application ecosystem.
This is a high-leverage, high-visibility role with three interlocking mandates. First, you will own the development and governance of a code library and set of agent rules that will serve as the architectural foundation for multiple internal AI-enabled webapps at Fivetran. Second, you will work with stakeholders to develop, productionalize, and enhance custom apps built on this foundation. Third, you will act as a trusted advisor to engineering leadership, shaping policy and governance for how non-engineers should use AI to safely develop, productionalize, and deploy apps.
This position sits at the crossroads of software engineering, platform architecture, and AI-assisted development. You will partner closely with business stakeholders and engineering platform teams across the company, translating a fast-moving, experimental "everyone builds" culture into production software held to a high standard of security, reliability, and maintainability.
This is a full-time position based out of our Oakland, CA office.
Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, TypeScript/React
Kubernetes, GCP Cloud SQL (PostgreSQL)
BigQuery data sources, Claude API, Agent SDK
GTM systems - Salesforce, Outreach, Gong, and Zendesk
What You’ll Do
Independently design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
10+ years of experience in the software industry with a passion for solving complex software engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to independently lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like BuildKite
Knowledge of observability tools like New Relic/Grafana is a plus
Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation
Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based platforms
#LI-HYBRID #LI-VA1
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.
Oakland Pay Range
$232,338
—
$290,422 USD
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: Valencia
Workplace: OnSite
Role highlights:
Title: Software AIT Engineer
Department: Global Manufacturing Organisation
Reports to: Head of MAITE Spain
Location: Valencia, Spain
Type of Contract: Permanent
Working model: On-site
Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Software AIT Engineer, you play a vital role in bridging software development and hardware integration at ICEYE. You will lead satellite-level verification and validation campaigns, integrate flight software with satellite subsystems, and develop automated test frameworks to ensure functional readiness. You will act as the primary technical contact for software-related integration issues and drive continuous improvement across AIT methods, test efficiency, and build reliability -- ensuring every spacecraft meets ICEYE's standards for mission success.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Execute satellite-level verification and validation (V&V) campaigns, focusing on functional software operations and system health
- Lead the integration of flight software with satellite subsystems (avionics, power, RF, thermal), ensuring seamless interoperability
- Develop and maintain automated test scripts and frameworks to enhance efficiency, repeatability, and coverage across functional and environmental test campaigns
- Act as primary technical contact for software-related integration issues, performing root cause analysis and coordinating with software engineering to resolve anomalies
- Support production readiness and design reviews (PRR, CDR) by providing feedback on software testability, hardware-in-the-loop requirements, and system configuration
- Contribute to and improve AIT documentation including software test procedures, integration plans, and configuration records
- Interface with Global AIT, Software Engineering, and Mission Operations teams to ensure alignment on product standards and lessons learned
- Drive continuous improvement initiatives in integration methods, test efficiency, and build reliability
What we’re looking for
Must haves:
- 5+ years of hands-on experience in integration, testing, or production of complex systems -- preferably in aerospace or high-reliability hardware industries
- Strong proficiency in Python scripting and automation for test development and data analysis
- Proven experience in multidisciplinary engineering environments with a focus on system-level validation
- Deep technical understanding of satellite architectures including command and data handling (C&DH), avionics, or communication subsystems
- Familiarity with hardware-in-the-loop (HIL) testing, environmental testing (EMC, vibration, thermal), and configuration management
- Systems engineering mindset -- able to anticipate integration risks and connect software logic, hardware interfaces, and mission operations
- Proficient English (written and spoken) for cross-functional collaboration
Nice to haves:
- Experience with Atlassian Cloud tools (Jira, Confluence)
- Track record of enabling design-for-testability (DFT) and design-for-manufacturing (DFM)
- Lean and Six Sigma experience
- Experience writing or improving Python test scripts beyond routine execution
Application Process
- Talent Acquisition Interview
- Hiring Manager General Interview
- Technical Interview, including a Technical Challenge
- Final Interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Redwood City, CA, United States
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
WHY BOX NEEDS YOU
Box’s Edge (Network Platform Engineering) team powers the connectivity behind our products, including Box Zones and applications hosted across our environment. We’re evolving from a ticket-driven support model to building automated, self-serve network capabilities that application and service owners can consume reliably at scale. We’re looking for a Software Engineer III to design and build backend services and automation that turn complex network functionality into simple, safe, and repeatable workflows. In this role, you’ll deliver high-impact systems using Python and Terraform, grounded in strong networking fundamentals. You’ll partner with internal customers to transform recurring requests into robust products, improving delivery speed, reliability, and developer experience across Box.
WHAT YOU'LL DO
Design and implement backend services and tooling in Python that make network capabilities accessible for internal application and service owners.
Build and maintain Infrastructure as Code with Terraform to provision, configure, and manage network resources reliably.
Translate partner needs into automated workflows that replace manual, ticket-based processes and scale across teams.
Participate in design reviews, question assumptions thoughtfully, and contribute to decisions that improve reliability, security, and usability.
Integrate observability and guardrails to support safe, auditable, and measurable network changes.
Collaborate with cross-functional teams (application owners, reliability, platform) to define requirements and deliver end-to-end solutions.
Write tests, documentation, and runbooks to support operational excellence and maintainability.
Contribute to roadmap planning and continuous improvement of network automation patterns and standards.
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
3+ years of professional software engineering experience with a strong backend focus.
Proficient in Python with a track record of building production-grade services or automation.
Hands-on with Infrastructure as Code, especially Terraform, including module design, reviews, and CI/CD integration.
Strong understanding of networking fundamentals (e.g., TCP/IP, routing vs. switching concepts, DNS, load balancing, security groups/firewalls).
Product mindset: you distill complex systems into safe, reusable abstractions and prioritize user experience for internal customers.
Systems thinker who can break down ambiguous problems, propose pragmatic designs, and measure outcomes.
Collaborative communicator who seeks diverse perspectives, builds alignment, and gives and receives feedback constructively.
Nice to have: Experience with cloud platforms (GCP and/or AWS), service-to-service networking, and network automation tooling.
Nice to have: Familiarity with observability platforms (e.g., Infroscope or similar), testing frameworks, and secure-by-default practices.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
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, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$165,000
—
$206,500 USD
Location: Dublin, Ireland
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.
Staff Software Engineer – Identity Domain
About Vectra AI
Vectra AI is transforming cybersecurity through AI-driven threat detection and response. Our platform brings together network, identity, cloud, SaaS, and security telemetry to uncover attacker behaviour, identify risk, and help security teams investigate and respond before threats become breaches.
Identity is changing rapidly. Alongside human users, organisations increasingly rely on AI agents, service accounts, workloads, applications, API tokens, and other non-human identities to access systems and act autonomously. These technologies create enormous opportunity, but also a rapidly expanding attack surface.
Vectra’s Identity Domain is responsible for detecting and reducing identity-based risk across identity providers and SaaS environments, including human, machine, and non-human identities.
The Opportunity
We are looking for a Staff Software Engineer to provide technical leadership within Vectra AI’s Identity Domain, with particular experti
se in the emerging security challenges created by AI agents, machine identities, and non-human identities (NHIs).
This is a senior individual contributor role for an engineer who combines strong software engineering with deep curiosity about how customers build and operate modern identity systems.
You will need to understand how AI agents are created, deployed, authenticated, permissioned, and connected to enterprise systems and translate that understanding into security capabilities that protect customers as this new attack surface evolves.
The Identity team
owns end-to-end delivery: from in
gesting and normalising identity telemetry, through analytics and detection, to publishing detections and findings and making identity observability data available across the Vectra platform.
You will lead complex engineering initiatives across that lifecycle, remain hands-on with architecture and code, and help teams make strong technical decisions while delivering reliable customer outcomes.
What You’ll Do
Design and deliver capabilities across the full Identity lifecycle: telemetry ingestion, normalisation, enrichment, analytics, detection, findings, and observability
Build systems that help customers discover, understand, monitor, and protect human and non-human identities
Help define how Vectra models AI agents, service accounts, workloads, OAuth integrations, tokens, and other machine identities
Apply expertise in how customers build, deploy, authenticate, authorise, and permission AI agents and automated workloads
Partner with Security Research and Product Management to turn evolving attack techniques and customer problems into durable product capabilities
Correlate identity signals with network, cloud, and SaaS telemetry to reveal activity isolated controls may miss
Help define and execute technical strategy for Identity products, services, data models, and engineering practices
Lead design and code reviews, identify technical risks early, and maintain a high bar for reliability, security, observability, and maintainability
Work across team and service boundaries, partnering with Data Platform, Cloud Platform, Data Science, SRE and others
Engage with Product, field teams, and customers to understand deployment patterns, security concerns, and emerging use cases
Mentor engineers, share knowledge broadly, and help develop technical leadership across the team
What You’ll Bring
Required
Significant professional software engineering experience building and operating production systems
Strong expertise in distributed systems, architecture, coding, and technical problem solving
Demonstrated ability to lead complex initiatives and influence technical decisions beyond your immediate team
Strong understanding of modern identity systems, including authentication, authorisation, credentials, tokens, and privileged access
Expertise in AI agents, machine identities, workload identities, service accounts, non-human identities, or closely related identity-security problems
Practical understanding of how organisations build, deploy, authenticate, and permission AI agents and automated systems
A customer-oriented mindset and enthusiasm for understanding how technology is used in real-world environments
Experience building reliable, observable cloud-based services
Strong judgment when balancing engineering quality, security, technical debt, customer needs, and business priorities
Demonstrated ability to mentor engineers and raise the effectiveness of teams around you
Preferred
Deep knowledge of Entra ID, OAuth/OIDC, SaaS identity ecosystems, workload identity, secrets, or machine-to-machine authentication
Experience building security capabilities for AI agents or autonomous systems
Experience with behavioural analytics, detection engineering, anomaly detection, or high-volume security telemetry
Cybersecurity product experience
What Success Looks Like
Vectra delivers differentiated security capabilities for AI agents and non-human identities
The Identity team moves efficiently from new telemetry ingestion to customer-visible detections, findings, and observability
Customers gain meaningful visibility into machine identities, their privileges, behaviour, and risk
Complex initiatives land predictably with a consistently high engineering bar
Engineers across the team grow through effective technical leadership and mentoring
Why This Role Matters
The definition of identity is changing. Increasingly, the actor accessing sensitive enterprise systems may be an application, workload, automation, or AI agent acting autonomously and with significant permissions.
S
ecuring this world requires understanding not only whether an identity authenticated, but what it is, what it can access, how it normally behaves, and whether its actions make sense in context.
As a Staff Software Engineer in the Identity Domain, you’ll help Vectra solve that problem end to end, from the data we ingest, through the detections we create, to the findings and observability our customers depend on.
Vectra provides a comprehensive total rewards package
that
supports
the
financial,
physical, mental and overall health of
our employees
and their families.
Compensation includes competitive base pay, incentive pla
n eligibility, and participation in the employee equity plan (stock options).
Specific benefits
offered
var
ies
by location, but commonly in
clude
health care insurance
,
income protection
/ life insurance
,
access to retirement
savings
plans, behavioral &
emotional
wellness
services
, generous time away from work,
and
a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
ГибридseniorLinz, Austria
УдалённоRemote - United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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Redwood City, CA, United States; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
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