Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
INFUSE is looking for a
Senior DevOps Engineer
to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization.
We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way.
As part of our dynamic team, your responsibilities in this role will include:
Design, build and run secure
AWS infrastructure
(EC2 with Docker Compose, EKS) with
Terraform and Ansible
; move suitable workloads from EC2 to EKS
Build and maintain
CI/CD in GitHub Actions
; move remaining Jenkins jobs to GitHub Actions
Keep new and existing services at our security baseline:
Cloudflare proxy with WAF
and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root
Own monitoring, alerting and logs on our standard stack (
Grafana, OpenTelemetry, Sentry
); on-call, incident response, post-incident reviews
Own backups and regular restore tests
Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects
Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket
Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards
Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review
Work with internal teams and contractors
; set and enforce standards; mentor other engineers.
Our ideal candidate possesses the following skills:
5+ Years in DevOps / SRE:
Proven background operating mission-critical production environments, including
3+ years of hands-on experience running AWS
at scale
IaC & CI/CD Mastery:
Expert with
Terraform
, highly proficient with
Ansible
, and experienced in designing production workflows with
GitHub Actions
Containerization & Kubernetes:
Strong production experience with
Docker
and
Kubernetes
(specifically managed AWS
EKS
and
Helm
)
Production Security & Incident Management:
Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and
Cloudflare WAF/proxy
configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills
English proficiency
at
B2 level or higher
.
What Else We Expect & Value:
Application Ecosystem Familiarity:
Experience supporting Node.js and Python microservices
paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare
Modern Observability:
Practical setup and maintenance of
Grafana
,
Prometheus
, and
OpenTelemetry
pipelines
Core Scripting & Systems:
Deep fluency in
Linux
administration,
Bash
, and
Python
scripting.
Collaborative Leadership:
Ability to effectively manage, document, and standardize work across internal teams and external contractor groups.
AI-Augmented Workflow:
Daily experience leveraging modern AI developer tools and agents (
Claude Code preferred
) to accelerate engineering output.
Proactive & Autonomous Mindset:
A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table.
Nice to have:
Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications.
What we offer:
Fully remote
work format
Schedule:
Monday–Friday, 2 PM – 11 PM Eastern European Time
(including 1 hour break)
A collaborative, innovation-first environment that values initiative and experimentation
Paid time off and sick leave
Reduced working hours on Fridays during the summer
Days off on US national holidays and your birthday.
Hiring process:
Interview with Recruiter
Interview with Hiring Manager
Technical Interview
Offer.
If you meet these criteria and are excited about contributing to our team, we encourage you to apply.
We look forward to meeting you!
👋
Location: Remote
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
This is a hands-on technical role. You will join during a period of high growth for the IT team as the company expands its headcount, global footprint and opens new offices.
You will work closely with the Security and Operations teams to keep our endpoints, offices, networks, and SaaS tools secure, while making sure people stay as productive as possible with the tools we have.
You'll own and deliver technical projects across identity, endpoint management, office infrastructure, automation, and compliance, helping us build scalable IT systems that support the company as it grows.
REQUIREMENTS
- Strong hands-on background in IT Engineering, Technical Operations, or a DevOps-adjacent role, with an automation-first mindset and experience managing enterprise scale IT systems
- Strong knowledge of identity and access management technologies (SAML, SCIM, OIDC) with tools such as Okta and Google Workspace
- Expertise with Mobile Device Management tooling (e.g. Jamf, Kandji, Fleet) across a device fleet.
- Scripting skills (Python, Bash, or similar) with a proven track record of automating compliance checks, device configuration, and other IT security tasks.
- Experience managing office network equipment (e.g. Cisco Meraki, Ubiquiti), including office buildouts.
- Proven ability to maintain compliance with SOC 2 / ISO 27001 (or similar) standards, paired with a friendly, end-user-focused attitude.
- Prior experience in a high-growth or startup environment.
BONUS
- Experience implement corporate security controls / previous security role experience
- Strong hands-on experience with VPNs, firewalls, and secure network environments, including modern practices such as Zero Trust networking.
- Experience with OSquery and Santa
- Terraform or other infrastructure as code experience.
- Open source contributions (e.g. a tool you built to automate something).
LOCATION
This role is remote but if you prefer, you can work from our offices in London, Warsaw, New York or San Francisco.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Belgrade; Lisbon
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We’re looking for a Founding ML Engineer at Senior or Principal level to lead the transition of Newton, Aghanim’s AI product for partners, from proprietary model APIs to models we control.
Newton already runs in production on frontier models. You’ll own the model layer end to end: data collection, evaluation, post-training, serving, and rollout. The goal is to preserve the quality partners rely on while reducing cost, improving speed, and keeping partner data within our infrastructure.
You’ll work closely with the product to understand its behavior and partner expectations, then independently define the technical approach and priorities. Decisions about training, routing, and model replacement should be backed by production data and evaluations.
KEY RESPONSIBILITIES
- Build production data pipelines that capture versioned instructions, tool calls, outputs, costs, and outcomes, with anonymization, partner-level deletion, and expert corrections.
- Develop benchmarks, regression tests, and code-based and LLM-judge evaluators using real Newton runs to measure factual accuracy, tool use, answer quality, cost, and latency.
- Compare frontier and open-weight models, route tasks to suitable models, and identify where prompting, distillation, or post-training delivers the best results.
- Train and adapt models using distillation, SFT, LoRA/QLoRA, and DPO on accepted trajectories and expert feedback; use RL where simpler approaches fall short.
- Deploy models behind Newton’s existing interface, validate them through shadow runs, and manage rollout based on quality benchmarks and serving economics.
Tech stack: Python, TypeScript, SQL, self-hosted Langfuse, TRL / Unsloth / Axolotl or managed training platforms, vLLM, serverless GPUs, GCP / Modal; open-weight models including Qwen, Gemma, DeepSeek, and GLM.
REQUIRED QUALIFICATIONS
- Hands-on experience post-training LLMs and shipping them to production using SFT, LoRA/QLoRA, DPO, and distillation.
- Experience building evaluation systems from production data, including offline benchmarks, regression and behavior tests, and code-based and LLM-judge evaluators.
- Understanding of agentic systems, including tool calling, multi-step trajectories, structured outputs, and the impact of changing the underlying model.
- Practical experience serving models with vLLM or similar tools, quantization, and GPU deployment, including latency, cold-start, and cost tradeoffs.
- Strong production Python and SQL skills, with enough TypeScript proficiency to modify product code and instrumentation independently.
- Ability to understand product behavior and user expectations, translate them into measurable quality requirements, and decide when training is justified.
- Experience independently owning a technical area, setting priorities, and working across an unfamiliar codebase and its design documents.
- Regular use of AI coding agents, with a clear approach to verifying their output.
PREFERRED QUALIFICATIONS
- Experience migrating a production product from proprietary model APIs to self-hosted or open-weight models.
- Experience with RL for LLMs, particularly GRPO with automatic verifiers.
- Familiarity with Langfuse, Braintrust, or similar tracing and evaluation tools.
- Experience with GCP, including Vertex AI, Cloud Run GPU, and BigQuery.
- Interest in game monetization and analytics.
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: London; Dublin; New York; Sofia; Switzerland; Poland
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We’re hiring Site Reliability Engineers to set the reliability standard across everything we build. Businesses and developers build their own products and customer experiences on our platforms, from live customer conversations to content production, much of it real time and latency-sensitive. Our reliability is part of theirs, so there is very little room for downtime. You’ll join our dedicated Reliability team and own how we design for resilience, respond to incidents and keep improving.
You’ll work directly with product and engineering teams to define reliability targets, build the tooling to measure them, and shape the architecture and practices behind them.
- Design and run disaster recovery programmes, setting ambitious recovery targets and testing against them regularly.
- Define SLAs and SLOs with each product team, and build the tooling to track them by product and customer.
- Own how we detect, respond to and learn from incidents, including alerting design, the incident process and post-mortems, and our on-call process.
- Build AI-assisted investigation and auto-resolution, from agent-led diagnosis to automated remediation.
- Embed with product teams to shape architecture and engineering practices for resilience at scale.
REQUIREMENTS
- Hands-on experience running production systems at scale as an SRE, infrastructure engineer or similar, with a track record of measurably improving reliability.
- A strong background in backend development, and a habit of solving reliability problems with code and automation.
- Experience owning incident response, on-call and post-mortems, and driving fixes through to completion.
- Experience with observability and alerting, and with defining and tracking SLOs or SLAs.
- Solid grounding in Kubernetes and cloud infrastructure (GCP and AWS preferred)
LOCATION
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This role is available for candidates located in the United States or Canada.
The Opportunity:
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are OSS projects that we also offer as a Cloud service supporting Grafana Cloud, and as an on-premise solution. They are multi-tenant distributed systems implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS). We also have engineers working on
Prometheus
,
Grafana Alloy
,
Mimir proxies
, and OpenTelemetry.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our tech stack is mostly made up of services written in Go, running on multiple Kubernetes clusters that leverage Cloud object storage.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.
We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.
You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability.
Take an active role in influencing our roadmap and your own career objectives.
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial ideation all the way to operations once it is in the hands of customers.
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope.
Be a part of your team’s on-call rotations and take ownership of the services you’re running.
Mentor and support other team members, participate in design discussions, and collaborate with the team.
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system.
As we are remote-first and our engineering organisation is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
What Makes You a Great Fit:
You are a motivated self starter with a bias towards action.
You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs .
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively.
Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.
Requirements:
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well.
Some experience with delivering projects from gathering requirements and brainstorming ideas, all the way to shipping a product to the customer’s hands in a self-driven way.
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering.
Experience writing clean, robust, and performant software that is easily maintained by others.
Bonus Points For:
Experience writing low level code for databases, storage layers, or query engines.
Experience working with Kubernetes.
Been a user of Grafana and/or Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools in hobby/homelab projects).
Exposure to microservices architecture and distributed systems, or a desire to learn.
Familiarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD 186,500 to AUD 223,500. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the US and Canada.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with
Grafana Enterprise Metrics
,
Grafana Enterprise Logs
, and
Grafana Enterprise Traces
. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
Mimir Squad
The Mimir squad has two sub-squads, Ingest and Query, which together maintain the
Mimir OSS project
, and additionally own and operate Grafana Cloud Metrics across three major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.
A Mimir engineer has various work streams. They likely are engaged in a larger project with another engineer, as well as mixing in some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.
What will you be doing?
Take a very active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial idea all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
Support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
What are we looking for in you?
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a Squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering
Some experience with being on-call and following the DevOps model
Experience writing clean, robust, and performant software that is easily maintained by others
Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem
Nice to haves:
Experience working with Kubernetes is highly desirable
Experience working with queue systems, e.g. the Kafka protocol
Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
Exposure to microservices architecture and distributed systems, or a desire to learn
Familiarity with the concept of infrastructure as code
In the United States, the base compensation range for this role is USD
174,500
- USD 209,000
.
Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This role is available for candidates located in the United States or Canada.
The Opportunity:
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are OSS projects that we also offer as a Cloud service supporting Grafana Cloud, and as an on-premise solution. They are multi-tenant distributed systems implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS). We also have engineers working on
Prometheus
,
Grafana Alloy
,
Mimir proxies
, and OpenTelemetry.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our tech stack is mostly made up of services written in Go, running on multiple Kubernetes clusters that leverage Cloud object storage.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.
We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.
You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability.
Take an active role in influencing our roadmap and your own career objectives.
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial ideation all the way to operations once it is in the hands of customers.
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope.
Be a part of your team’s on-call rotations and take ownership of the services you’re running.
Mentor and support other team members, participate in design discussions, and collaborate with the team.
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system.
As we are remote-first and our engineering organisation is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
What Makes You a Great Fit:
You are a motivated self starter with a bias towards action.
You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs .
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively.
Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.
Requirements:
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well.
Some experience with delivering projects from gathering requirements and brainstorming ideas, all the way to shipping a product to the customer’s hands in a self-driven way.
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering.
Experience writing clean, robust, and performant software that is easily maintained by others.
Bonus Points For:
Experience writing low level code for databases, storage layers, or query engines.
Experience working with Kubernetes.
Been a user of Grafana and/or Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools in hobby/homelab projects).
Exposure to microservices architecture and distributed systems, or a desire to learn.
Familiarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code.
Compensation & Rewards:
In Australia, the Base compensation range for this role is CAD 164,500 to CAD 197,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
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Ищем харизматичного Программиста / Аналитика 1С, который уже применил ИИ-ассистентов в своей практике и готов обучать этому других. Вести занятия: Проводить лекции, воркшопы или записывать практические видеоуроки (в зависимости от формата потока).
ОфисМосква; Желательно проживающих в Москве или в ближайших городах, что бы иметь возможность очно провести обучение у клиента
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the US and Canada.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with
Grafana Enterprise Metrics
,
Grafana Enterprise Logs
, and
Grafana Enterprise Traces
. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
Mimir Squad
The Mimir squad has two sub-squads, Ingest and Query, which together maintain the
Mimir OSS project
, and additionally own and operate Grafana Cloud Metrics across three major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.
A Mimir engineer has various work streams. They likely are engaged in a larger project with another engineer, as well as mixing in some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.
What will you be doing?
Take a very active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial idea all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
Support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
What are we looking for in you?
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a Squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering
Some experience with being on-call and following the DevOps model
Experience writing clean, robust, and performant software that is easily maintained by others
Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem
Nice to haves:
Experience working with Kubernetes is highly desirable
Experience working with queue systems, e.g. the Kafka protocol
Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
Exposure to microservices architecture and distributed systems, or a desire to learn
Familiarity with the concept of infrastructure as code
In the United States, the base compensation range for this role is USD
154,000
- USD 185,000
.
Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Bengaluru, India
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As a member of our Customer Operations & Support Team, you’ll be the voice of Figma as you help ensure our community has an exceptional experience across our different public platforms and touch-points (community forum, social, etc.) You’ll be engaging with our customers both directly and publicly, which will require critical thinking, an investigative mentality, and outstanding communication skills. We’re looking for a great teammate based in India who can cover weekdays and is technically inclined, eager to learn about design tools and community, and comfortable working across multiple workstreams in a startup-like environment.
This role will be based out of our Bengaluru hub.
What you’ll do at Figma:
Monitor our community and social platforms (community forum, X, Reddit, etc.), handle escalations, and help with response and communication around incidents and support issues
Provide outstanding technical support for new and experienced Figma users on community and social platforms
Help moderate and organize our community forum, making sure it stays a healthy and safe space for our global community
Identify trends and areas of improvement for our community forum and other community support initiatives
Improve engagement and create a seamless one-to-many support experience
Collaborate with our design and engineering teams to investigate and resolve complex issues, and work with our Technical Quality Support team to report and escalate technical issues to the appropriate teams
Collect and consolidate customer feedback into meaningful recommendations for our product and research teams
Close the feedback loop with users when bugs are resolved and feature requests are implemented
We’d love to hear from you if you have:
2+ years’ experience in support or community roles for a technical SaaS product
Familiarity with design processes and tools
Strong technical and written communication skills, making complex ideas easy to understand
Proactive, responsive, and detail-oriented, with strong prioritization skills
Receptive to customer feedback, effective in public and direct responses, and adaptable to a fast-paced startup environment
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco Bay Area, California; Los Angeles, California; Berkeley; Oakland; Daly City; San Mateo; Palo Alto, California; San Jose
Workplace: remote
About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name.
What you’ll do
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What we offer
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa
sponsorship
How we hire
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
We’re real
A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts
Workplace: hybrid
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA
Why Provectus?
Frontier access. Anthropic Preferred Partner:
newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged.
You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation.
Autonomous
. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack.
Craft & growth.
Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name.
We give you a stage:
Claude certification, conference talks, open source contributions, published work under your own name.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What we look for:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why
Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open source contributions or public writing on applied AI
What We Offer:
Full time
On site visits to client’s facilities and our office in NYC once a week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(k) matching plan
Base salary $180k to $200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
We’re real:
A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE:
As a Head of Workplace & Facilities based in London, you will be responsible for ensuring our teams operate in environments that are not only functional and safe—but scalable, adaptable, and built for the pace of high-growth product development. From brownfield build-outs to continuous upgrades, you will translate company-wide requirements into fit-for-purpose, high-performance facilities.
You will own the planning, delivery, and management of all physical environments that enable engineering and company operations—from collaborative workspaces and lab floors to test zones and logistics areas. You will lead brownfield and retrofit programmes across our sites, ensuring they meet the exacting needs of modern robotics engineering
This is a highly cross-functional, technically grounded leadership role. You’ll partner with hardware, software, and operations teams to turn functional requirements into physical reality—ensuring that space never becomes a blocker to speed, safety, or innovation.
This role also includes accountability for general office management, including oversight of our workplace operations team and front-of-house function. You’ll ensure the daily experience in each site reflects our culture and values—providing a seamless, well-run environment for employees, visitors, and partners.
WHAT YOU'LL DO:
Facility Strategy & Planning
- Define and lead the physical environment strategy across lab, workspace, test, integration, prototype manufacturing, and office areas
- Translate functional and technical requirements from all parts of the business into clear, scalable space plans
- Lead site assessments, feasibility studies, and future planning across global locations
- Develop and maintain design standards for our labs and shared workspaces
Programme Delivery (Brownfield & Fit-Out)
- Own the full lifecycle of facility programmes: scoping, budgeting, planning, contractor management, delivery, and commissioning
- Oversee brownfield upgrades to enable evolving R&D, prototype manufacturing, and testing needs
- Manage external architects, engineers, contractors, and consultants
- Coordinate delivery timelines with product, hiring, and operational roadmaps
Prototype Manufacturing & Lab Readiness
- Ensure infrastructure supports mechatronics-heavy workflows including actuator assembly, sub-system integration, electronics rework, and test rig operation
- Define layouts and utility requirements (power, ESD, ventilation, compressed air, equipment mounting, etc.) for in-house prototyping and low-volume builds
- Establish protocols for safe operation, material flow, and flexible reconfiguration of physical spaces
Office Operations & Workplace Experience
- Lead general office and workplace management across all global sites
- Oversee a dedicated office and reception team, ensuring smooth daily operations, visitor experience, and front-of-house service
- Maintain a welcoming, professional, and functional workplace aligned with our culture and operational rhythm
- Partner with People and IT to ensure workspaces support hybrid collaboration, new joiner onboarding, and employee well-being
Facility Operations & Lifecycle Management
- Set up and oversee systems for space allocation, access control, maintenance, and infrastructure monitoring
- Lead improvements in facility uptime, utilisation, safety, and team experience
- Manage shared infrastructure including lab services, AV, security, physical IT, and environment monitoring
- Maintain compliance with local codes, safety regulations, and relevant R&D standards
Cross-Functional Collaboration
- Partner with stakeholders across engineering, manufacturing, people, logistics, IT, and workplace operations
- Work with executive leadership to develop long-term facilities strategy, capital planning, and space forecasting
- Represent facilities in company-wide planning processes, including headcount growth and program milestones
- Drive alignment between physical infrastructure and company objectives
WHAT WE'RE LOOKING FOR:
- 10+ years of experience in facilities, technical operations, or capital project delivery in R&D or advanced manufacturing environments
- Proven track record managing brownfield retrofits and complex fit-out programmes
- Strong technical understanding of infrastructure requirements for labs, prototype manufacturing, and mixed-use technical spaces
- Experience overseeing general office operations, reception, and workplace experience functions
- Fluency across building systems (power, HVAC, ventilation, ESD, security, etc.) and health & safety best practices
- Highly organised, delivery-focused, and skilled in leading cross-functional capital programmes from start to finish
Nice to have
- Experience in robotics, aerospace, automation, or electromechanical product development
- Familiarity with ISO/cleanroom environments, build/test zones, or controlled lab standards
- Track record building or scaling physical infrastructure in high-growth organisations
- Experience with real estate strategy, landlord/tenant negotiations, or hybrid campus models
WHAT WE OFFER:
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York
Workplace: remote
About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What we offer:
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa sponsorship
We’re real
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
Location: Warsaw, Poland
On behalf of
FinTech Client #3
, SD Solutions is looking for a talented
Backend Engineer
This position offers a unique opportunity to work at the intersection of technology, compliance, and data. As a
Senior BE Engineer
, you will take ownership of ensuring the integrity of critical processes - such as Compliance Control, Due Diligence, Legal Automation, and more. You will be responsible for the full lifecycle of these systems, driving both architectural modernization and day-to-day stability. Your work will range from designing new automated capabilities to rigorously refactoring existing flows, deep-diving into complex logic to optimize alerts, and ensuring our production environment remains robust at scale. We are looking for someone who enjoys diversity, wants to understand the "business behind the code," and is eager to replace manual operations with sophisticated, event-driven automation.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Design & Build
: Lead the design and implementation of backend systems and scalable microservices that ensure regulatory compliance and legal process automation (e.g., IVV, Due Diligence).
Data Integrity & Scale
: Work with large datasets and oversee complex data pipelines, ensuring absolute data integrity across critical financial systems.
Drive Modernization
: Lead engineering modernization efforts, including significant refactoring of legacy code and migration to a modern, distributed architecture to improve system resilience.
Automation & Integration
: Replace manual operations with event-driven automation (Kafka) and maintain robust integrations with third-party providers (Verdata, Salesforce, and more) to support business scale.
Cross-Functional Collaboration
: Collaborate closely with Legal, Compliance, and engineering teams to translate complex regulatory requirements into accurate, high-quality technical solutions.
Requirements:
5+ years of experience in Software Development (Backend focused).
Strong proficiency in
Java
or
Kotlin
in production environments.
System Design
: Experience in building scalable APIs, working with microservices, and understanding distributed systems.
Experience with
AWS
and cloud-based infrastructure.
Ownership Mindset
: We don’t just resolve tickets; we look at the bigger picture, understand the business logic, and take responsibility for the quality of our delivery.
Excellent problem-solving and system design skills.
B.Sc. in Computer Science or equivalent practical experience.
Fluent in English, both written and spoken.
Advantages:
Strong proficiency in
SQL
and experience working with
relational databases
.
Python.
Experience with
Snowflake, Spark, or DBT
.
Experience with Event-Driven Architecture and
Kafka
.
Background in
Fintech
,
Banking
, or
regulatory environments
.
Experience with
AI
development tools like
Cursor
and
Claude Code
.
About the company:
A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: Boston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Georgia; Washington State; Colorado; New Jersey; Texas
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to help enterprise customers turn automation from isolated workflow wins into a scalable operating model that drives measurable business impact.
To do so, you’ll lead the business, adoption, and governance workstream across high-value enterprise deployments:
DRIVE CUSTOMER OUTCOMES DURING DEPLOYMENTS
- Lead the organizational workstream during focused on-site deployments, from executive kickoff to closeout.
- Partner closely with a Forward Deployed Engineer to turn customer problems into adopted workflows that solve real operational pain.
- Keep the engagement focused on the highest-value opportunities, not just the most technically interesting ones.
BUILD THE AUTOMATION OPERATING MODEL
- Guide customers in implementing the automation operating and governance model they need to scale n8n sustainably.
- Help define ownership, decision-making, prioritization, enablement, and adoption practices across technical and business teams.
- Leave customers more capable and confident by making automation part of how their organization works.
IDENTIFY, PRIORITIZE, AND PROVE AUTOMATION OPPORTUNITIES
- Map business processes to uncover high-impact automation opportunities across unfamiliar customer environments.
- Develop and manage an automation roadmap with clear prioritization criteria, sequencing, and ROI logic.
- Build business cases in the customer’s language by estimating impact, modeling value, and connecting automation to executive priorities.
NAVIGATE ORGANIZATIONS AND SCALE WHAT WORKS
- Build trust across technical teams, operators, executives, champions, skeptics, and the people who actually make decisions.
- Identify upsell and expansion signals during engagements and hand them cleanly to the Customer Success team.
- Feed learnings from every deployment into n8n’s internal playbooks, product feedback loops, and repeatable deployment motions.
REQUIREMENTS
MUST-HAVES
- 🚀 Enterprise deployment experience: You have worked in deployment, implementation, consulting, solutions, or technical customer success roles at a B2B software company.
- 🏢 On-site customer experience: You know what it takes to drive adoption with enterprise customers in complex, high-stakes environments.
- 🧭 Business process mapping: You can walk into an unfamiliar operation, ask the right questions, and turn what you learn into clear automation opportunities.
- ⚙️ Operating model thinking: You can help customers define the governance, ownership, and ways of working needed to scale automation sustainably.
- 📊 ROI and prioritization: You can build value cases, estimate impact, and help customers prioritize an automation roadmap based on business outcomes.
- 🛠️ Technical fluency: You do not need to write code, but you understand technical architecture, can demo convincingly, and can spot when a solution is not aligned with the customer’s needs.
- 🤝 Organizational navigation: You know how to build trust across levels, manage competing priorities, and identify who can actually make decisions.
- 🎙️ Storytelling: You can make complex technical concepts clear, compelling, and easy for senior stakeholders to champion internally.
- ✈️ Travel readiness: You are willing to travel for on-site engagements roughly 30–50% of the time across Europe.
- 🇬🇧 English fluency: You communicate clearly and confidently in English with technical, operational, and executive audiences.
NICE-TO-HAVES
- 🌍 European languages: You speak one or more additional European languages.
- 🤖 Automation experience: You have helped customers adopt workflow automation, integration, AI automation, or internal tooling platforms.
- 📚 Change management: You have guided teams through new operating models, governance processes, or technology adoption programs.
- 🏗️ Enterprise transformation: You have worked on transformation initiatives where success depended on stakeholder alignment, enablement, and measurable business outcomes.
- 🧩 Product feedback instincts: You know how to turn field learnings into crisp feedback that helps product and engineering teams build what customers actually need.
Why join us?
At n8n, you’ll help define how enterprise customers adopt automation in the real world — not through long consulting decks, but through focused deployments that create momentum, prove value, and make teams more capable. You’ll work at the intersection of strategy, technology, operations, and change management, partnering closely with Forward Deployed Engineers to turn complex customer environments into clear automation roadmaps.
You’ll join a fast-growing, remote-first company with strong momentum, a passionate technical community, and a culture that values autonomy, experimentation, and ownership. Your work will shape how we scale enterprise deployments, build customer automation operating models, and turn what we learn in the field into repeatable playbooks for n8n.
Sound like a challenge you’re excited to take on?
Apply now — and help us build the future of automation.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: Madrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
THE OPPORTUNITY:
As a Staff Software Engineer, you’ll build core features for our flagship product, turning complex tax scenarios into simple, reliable experiences. You’ll bring a builder-first mindset: staying close to customer problems, using AI and modern engineering tools to move from idea to impact quickly, and taking ownership of outcomes—not just code.
You’ll work hands-on in a cross-functional team and bring deep expertise in either frontend or backend engineering, while collaborating effectively across the stack. You’ll help us raise the bar for scalable design, quality, maintainability, and AI-first software development.
YOUR RESPONSIBILITIES AND DECISIONS:
- Partner with product management, design, and engineering to understand customer problems, shape pragmatic solutions, and deliver measurable outcomes.
- Own work end to end—from discovery and technical design through implementation, release, monitoring, and iteration.
- Turn ambiguity into action, make sound trade-offs, and deliver valuable increments without compromising long-term maintainability.
- Contribute to technical direction and strategy in support of the long-term product vision.
- Use AI-assisted development tools in your daily engineering work to accelerate exploration, implementation, testing, debugging, and documentation while maintaining high engineering standards.
- Critically evaluate, validate, and troubleshoot AI-generated output, using effective prompting and appropriate safeguards rather than accepting results at face value.
- Share effective AI-assisted development practices, encourage responsible experimentation, and help teammates improve how they use AI tools.
- Improve developer experience through tools, automation, and engineering practices that enable reliable, frequent delivery.
- Collaborate across product and platform teams, and contribute to an environment where people learn, grow, give constructive feedback, and raise challenges safely.
YOUR PROFILE:
- Professional software engineering experience (React, Node.js) and designing reliable backend services and APIs. Experience with React Native experience is a plus.
- Able to work effectively across system boundaries and collaborate with engineers outside your primary specialism.
- Use AI-assisted development tools in your daily engineering work to accelerate exploration, implementation, testing, debugging, and documentation while maintaining high engineering standards.
- Able to evaluate and troubleshoot AI-generated output, use effective prompting where relevant, and share practical learnings with teammates.
- Experience working with a public cloud environment such as Google Cloud, AWS, or Microsoft Azure.
- Familiarity with DevOps concepts and practices, including CI/CD, observability, and operating software in production.
- Understanding of core application and backend concepts such as authentication, databases, distributed systems, cloud infrastructure, and API integrations.
- A builder-first, pragmatic approach: You turn customer problems into shipped outcomes. You take initiative, test and learn quickly, and make clear trade-offs between speed, quality, maintainability, and risk.
- Passion for writing maintainable, elegant code and continuously improving how software is built.
- A collaborative, positive attitude and a willingness to challenge ideas constructively.
- You have a builder mindset. You thrive in environments where things are still taking shape, take initiative to move ideas forward, and find ways to create impact even when the path isn't fully defined.
- You embrace trying things out over waiting for perfect conditions, ship early to learn fast, and treat iteration as progress.
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions and yoga.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Check out our Life at Taxfix page on LinkedIn to get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
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ОфисBelgrade; Lisbon
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