Location: US - Remote - Illinois, US - Hybrid - Massachusetts - Boston, US - Remote - North Carolina, US - Remote - New York, US - Remote - Texas , US - Headquarters - Maryland - Columbia
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc
Your Role:
The Senior Manager, Services Architecture & Education leads the Portfolio Architects within the Global Services Portfolio, serving as the strategic link that converts overarching portfolio strategy into technically credible consulting services and end-to-end Education programs. Carrying a dual mandate, this role is accountable for leading an experienced team of technical experts through an evolving operating model while acting as the authoritative technical design voice across the entire Global Services suite.
This position owns service design, Education strategy, offering creation, the On-Demand Training (ODT) and Instructor-Led Training (ILT) curricula, and the Training Subscription model. The Senior Manager builds, standardizes, and scales the creation and maintenance engine necessary to keep all consulting offerings and educational content continually aligned with Tenable’s rapidly evolving product roadmap, feature releases, and version retirements.
Working with minimal supervision as a key member of the Services Portfolio Leadership Team, the Senior Manager sets high-bar technical and instructional standards, balances team capacity across creation, optimization, and lifecycle maintenance, and collaborates seamlessly with cross-functional leadership—including Portfolio Strategy & Innovation, Portfolio Enablement & Creative, Program Management, and PS Product Champions—to drive portfolio adoption and operational excellence.
ORGANIZATION STRUCTURE:
Reports to: Senior Director, Services Portfolio
Direct reports: Portfolio Architects (Associate Services Architects, Services Architects, and Senior Services Architects)
Your Opportunity:
Service Design & Offering Creation
Service Architecture:
Own the architecture, methodology, scope, and outcomes of consulting service offerings, and the technical requirements and validation behind them. Each offering has a named Services Architect who owns its technical design, with the Manager accountable.
Offering Creation:
Direct the creation of net-new offerings and Education against the quarterly roadmap set by Portfolio Strategy & Innovation, and lead improvements to existing services alongside the Portfolio Strategy & Innovation Lead.
Technical Substance:
Make sure the team owns the technical, service, and Education substance of its work, and that the content is accurate before it is handed to Portfolio Enablement & Creative for writing and design.
Standards & Quality:
Set and maintain service design, content, and lab standards and templates, and review the most strategic offerings before release.
Education Strategy & Training Subscription
Education Strategy:
Set the direction for Professional Services Education across on-demand (ODT), instructor-led (ILT), and hybrid delivery.
Curriculum Ownership:
Be accountable for the TRG master curriculum and the ODT and ILT source content, including review on a defined cadence and consistency between delivery formats.
Training Subscription:
Direct the priorities and evolution of the Training Subscription and track its adoption.
Education Authoring:
Ensure Architects author and maintain Education content, including in Articulate, to the standard required for technical accuracy and sound learning design. Work with Portfolio Enablement & Creative, where digital learning production needs specialist support.
Education Governance:
Work with the Education Governance Lead on standards, approvals, versioning, and controls. The Manager owns the Education strategy, and Governance owns the controls.
Portfolio Maintenance & Lifecycle
Maintenance Health:
Be accountable for overall maintenance health across services and Education. Run maintenance as a formal lifecycle (identify, triage, assign, update, validate, publish, communicate, close) carried out by named asset owners, without creating a permanent maintenance team.
Capacity Allocation:
Allocate team capacity between creating, improving, and maintaining content, and report the mix, overdue maintenance, and retirements at the quarterly portfolio review.
Roadmap Alignment:
Work with Product Management and Portfolio Strategy & Innovation to plan updates well ahead of product release, and to decide what to refresh, retire, or replace.
Feedback Loop:
Act on maintenance and improvement items routed from field feedback triage and the PS Product Champions Forum, and close the loop visibly with the field.
Team Leadership & Delivery
People Leadership:
Recruit, onboard, manage, and develop the Portfolio Architects, including performance management and career progression across the Associate, Services Architect, and Senior Services Architect levels.
Change Leadership:
Lead the team through the move to the new operating model, including the transition of long-tenured team members, and set clear expectations for the Architect role.
Capability Building:
Build team capability in service design, Education design, and delivery, and in the use of modern authoring and AI-enabled production approaches.
Delivery Oversight:
Oversee dependencies, costs, and schedules across team projects, assess risks, and take corrective action to ensure on-time, within-budget delivery.
Budget:
Manage the team’s budget and make the case for resources, tooling, and lab environments.
Protecting Creation Time:
Protect focus time for the team, including the Friday focus day, so that deep creation and maintenance work is not displaced by meetings.
Leadership & Cross-Functional Engagement
Portfolio Leadership Team:
Contribute to the weekly Portfolio Management Call, bringing creation, Education, maintenance, capacity, and the decisions required, and to the quarterly portfolio review.
Strategy & Innovation:
Work with the Portfolio Strategy & Innovation Lead on the annual and quarterly roadmap, business cases, and launch readiness, providing technical and Education input.
Enablement & Creative:
Work with the Portfolio Enablement & Creative Manager on briefs, handoffs, and review cycles to ensure creative output includes accurate technical content.
Program Management:
Work with the Portfolio Program Manager on milestones, dependencies, and launch readiness.
PS Product Champions:
Use the PS Product Champions to validate content and to maintain delivery playbooks, worksheets, and guidance, with Architects validating where needed.
Stakeholders:
Interface with leaders in Product, Customer Success, Customer Care, Sales, and Partners, including direct customer and partner engagement where needed.
Escalations:
Act as the senior escalation point for portfolio content issues that the team cannot resolve.
What You'll Need:
Experience
Security Foundations:
10+ years of overall experience in Information Security.
Vulnerability Management & Cybersecurity:
5+ years of experience in vulnerability management and broader cybersecurity operations, preferably with the Tenable product suite.
Services Experience:
7+ years of professional services, consulting, technical support, sales engineering, or technical training experience.
Education & Curriculum:
Proven experience setting Education strategy and designing and delivering technical curricula across on-demand, instructor-led, and hybrid formats, including subscription or learning platform offerings.
People Management:
3+ years of experience leading technical, content, or consulting teams, including line management and leading experienced teams through change.
Delivery Lifecycle:
Exposure to the full offering or product delivery life cycle: requirements analysis, design, testing, and implementation.
Cross-Functional Leadership:
Experience with cross-functional and cross-organisational program management, including gathering customer and stakeholder requirements.
Knowledge and Education
Education:
B.S. or M.S. degree in Computer Science or a related field preferred; equivalent experience considered.
Technical Depth:
In-depth knowledge of Windows and Linux operating systems and of TCP/IP networking, with working knowledge of web application, container, and cloud security (AWS/Azure) and ICS/SCADA systems.
Learning Design & Authoring:
Working knowledge of instructional design frameworks and of authoring tools such as Articulate, sufficient to set standards and review the team’s work.
Business Acumen:
Both business and technical acumen, including budget management and capacity planning.
Certifications:
CISSP, CISM, or PMP preferred.
And Ideally:
Communication:
Strong written and verbal communication skills, including the ability to present to executive, customer, and partner audiences.
Collaboration:
Strong interpersonal skills with the ability to influence and work effectively across teams and at a senior level.
Autonomy:
Strong initiative and the ability to work with minimal supervision, remotely and as part of a geographically distributed team, in an agile environment.
#LI-MM1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
US Pay Range
$145,000
—
$193,666.67 USD
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: Remote, Global
About the Role
We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company.
This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you'll regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week.
What You'll Be Responsible For
In this role, you'll:
- Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation.
- Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on.
- Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online.
- Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can't match.
- Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on.
- Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review.
- Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit.
- Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read.
You Might Be a Good Fit If You
- Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics.
- Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing).
- Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb.
- Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash.
- Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex).
- Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work.
- Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required.
- Can analyze cost data and present it clearly to both technical and non-technical audiences.
- Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context.
- Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Global Remote
Workplace: remote
Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.
We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies.
About the Role
We’re looking for a Security Engineer with deep expertise in source code analysis and offensive product security research. You’ll dig into complex software architectures, trace how code behaves at runtime, uncover subtle vulnerabilities, and address the systemic flaws behind them.
Embedded in our core engineering team, you’ll help shape security decisions from early design through release and adoption. This is a hands-on engineering and research role: you’ll combine your security expertise with frontier AI tools to find vulnerabilities, develop fixes, and make Metabase secure by default across its product, dependencies, and runtime.
Things you’ll do
Partner with engineers throughout feature development, bringing security expertise to design, implementation, release, and adoption.
Build security-focused features, lead security improvements across the codebase, and implement fixes that address root causes.
Use and evaluate advanced AI tools to scale code analysis, vulnerability research, and secure engineering practices.
Conduct offensive research into Metabase, develop proofs of concept, and validate vulnerabilities.
Assess findings based on exploitability and real-world impact, define clear remediation criteria, and verify that fixes are effective.
Turn individual findings into broader improvements that prevent entire classes of vulnerabilities.
What you bring
A demonstrated track record of finding and exploiting application vulnerabilities through source code analysis and hands-on research.
The ability to independently navigate unfamiliar codebases, understand complex architectures, and reason about runtime behavior and trust boundaries.
Experience with application security challenges, including authentication, authorization, injection, and unsafe handling of untrusted data.
Sound judgment about exploitability and real-world impact, and the ability to communicate findings and remediation options clearly.
Strong software engineering skills, including the ability to implement durable security fixes. Experience in Clojure, or a strong desire to learn.
A thoughtful approach to AI-assisted security work, using these tools to extend your expertise while independently validating their output.
Ownership and curiosity: you pursue difficult questions, collaborate closely with engineers, and follow findings through to resolution.
Compensation
The US base salary range for this role is $160K–$225K annually, plus equity and benefits.
Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors.
Benefits
We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment.
We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.
For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)
Location: Amsterdam
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
WHAT YOU’LL DO
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
WHAT YOU'LL BRING
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
- Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We’re hiring a Manager - Sales Development Representatives (SDR) (London) - EMEA to lead and scale our founding EMEA SDR team at LangChain.
Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.
WHAT YOU'LL DO:
- Lead and coach a team of SDRs responsible for generating qualified pipeline
- Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
- Recruit top SDR talent and grow the team as LangChain continues to scale
- Develop SDR talent through coaching, call reviews, and structured feedback
- Build repeatable outbound and inbound qualification playbooks
- Partner with marketing to convert inbound demand into qualified opportunities
- Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals
- Implement systems and workflows that improve SDR productivity and effectiveness
- Use data to continuously improve performance, analyzing conversion rates across the funnel
HOW TO BE SUCCESSFUL IN THIS ROLE:
- Have 5+ years of experience in sales development
- Have 1–3+ years managing SDRs or leading a sales development team
- Are comfortable working with technical products and developer audiences
- Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
- Are highly data-driven and comfortable managing performance through metrics
- Are passionate about coaching and developing early-career sales talent
- Thrive in fast-moving environments where processes are still evolving
- Have strong communication and organizational skills
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Copenhagen, Denmark; Santo Domingo, Dominican Republic; Quito, Ecuador; Cairo, Egypt; San Salvador, El Salvador
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
As an AI Harness Engineer, you’re not just building integrations for AI —you’re developing new and innovative ways to connect people to local AI, and how that AI will become a fixture in our lives. You will push QVAC to new levels, using P2P technology to enable limitless scale, making you essential to the company’s success in the competitive local AI assistant market.
Responsibilities
s
Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction
Design and develop new tools and modules, enabling new AI capabilities while ensuring success of a wide variety of model types and sizes
Maintain high codebase quality through consistent coding standards, code reviews, and automated testing
Implement and develop P2P technology for use with local AI
5+ years building production software, with deep experience in P2P systems, AI/LLM tooling, or both.
Hands-on experience building agent harnesses, including tool calling, agent loops, context management, and structured outputs.
Experience building evals and test infrastructure for non-deterministic systems.
Strong JavaScript/TypeScript, with experience modelling complex state, from sync protocols to agent loops
Open-source contributions to P2P, networking, or AI tooling projects
Experience designing for failure, including network partitions, model errors, timeouts, and retries
Location: Brussels, Belgium
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
As an AI Harness Engineer, you’re not just building integrations for AI —you’re developing new and innovative ways to connect people to local AI, and how that AI will become a fixture in our lives. You will push QVAC to new levels, using P2P technology to enable limitless scale, making you essential to the company’s success in the competitive local AI assistant market.
Responsibilities
s
Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction
Design and develop new tools and modules, enabling new AI capabilities while ensuring success of a wide variety of model types and sizes
Maintain high codebase quality through consistent coding standards, code reviews, and automated testing
Implement and develop P2P technology for use with local AI
5+ years building production software, with deep experience in P2P systems, AI/LLM tooling, or both.
Hands-on experience building agent harnesses, including tool calling, agent loops, context management, and structured outputs.
Experience building evals and test infrastructure for non-deterministic systems.
Strong JavaScript/TypeScript, with experience modelling complex state, from sync protocols to agent loops
Open-source contributions to P2P, networking, or AI tooling projects
Experience designing for failure, including network partitions, model errors, timeouts, and retries
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM:
You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it.
We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next.
ABOUT THE ROLE:
You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale.
This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates.
You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan.
You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct.
Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph.
WHAT YOU'LL OWN:
Carry multi-quarter programs
- Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption.
- Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs.
- Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets.
Own what gets specified and what ships
- Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation.
- Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off.
- Run vendor evaluations when the right answer is buy, integrate, or replace rather than build.
Protect revenue data integrity
- Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them.
- Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions.
- Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production.
WHAT SUCCESS LOOKS LIKE:
In your first 6–12 months, you might:
- Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field.
- Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale.
- Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation.
- Establish a specification and UAT standard that engineers and AI agents can reliably build against.
- Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution.
WHAT YOU'LL NEED TO BE SUCCESSFUL:
SYSTEMS AND DOMAIN DEPTH
- Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout.
- Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene.
- Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes.
- Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code.
PROGRAM LEADERSHIP
- Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day.
- Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release.
- Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality.
- Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative.
JUDGMENT AND COMMUNICATION
- One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec.
- Maximum agency — you find the friction and start the project. You don't wait for a ticket.
- AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way.
- Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it.
STRONG SIGNALS:
None of these is a screen; any one makes you useful faster.
- You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign.
- You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved.
- You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break.
- You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation.
- You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it.
Annual salary range: $180-200k USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA; Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.
WHAT YOU WILL DO
- Develop and implement key product features working across our entire Go, Python, and Typescript stack
- Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
- Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code
HOW TO BE SUCCESSFUL IN THIS ROLE
- 2+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend
- Solid understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
- Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $145,000-180,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Гибкий график, но с обязательной доступностью в рабочие часы команды и оперативной реакцией на задачи (ежедневные синки на 10-15 минут + присутствие на звонках по типу демо/брейншторм) Что предстоит делать AI-чатботы. Разворачивать с нуля аджентик AI-чатботов для клиентов: подключение к данным каталога, настройка поведения, интеграция на сайт.
Location: Greenwich, Connecticut, United States
About the Role
Talent Acquisition is the core strategic driver of iCapital success. The Talent Acquisition Contractor will assist the current team with all aspects of hiring and this role offers the opportunity to be part of an inclusive, collaborative, and engaging working environment.
Responsibilities
Support the senior recruiters to fill roles across various departments; review and source resumes, screen and qualify candidates to recommend to hiring managers.
Contribute to a strong candidate pipeline with creative postings and sourcing strategies.
Manage candidates through various stages in our ATS (Greenhouse) ensuring accurate data.
Assist with on-going projects that support the overall mission of the HR team (i.e. diversity, candidate experience, employee engagement, etc.).
Stay current and informed on industry recruiting trends to discern skillset of top candidates.
Provide a white glove recruiting experience to prospective candidates.
Qualifications
2-5+ years of in-house or agency recruitment experience, exposure to the financial services and/or fintech industry is a plus
Demonstrated experience to effectively assess a candidates resume and conduct screening calls before introducing profiles to the lead recruiter
Self-starter comfortable working in a fast-paced collaborative environment
Benefits
The hourly range for this role is $35.00 to $50.00 per hour.
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We are hiring a Legal Operations Analyst to support the day-to-day operations of Docker's lean Legal team: contract operations, outside counsel spend, legal technology administration, and the processes that connect Legal to the rest of the business. You will report to the VP and Head of Legal with direct collaboration and oversight from the Sr. Manager of Legal Operations, and partner with Sales, Deal Desk, Finance, Product, and Engineering.
You will work inside Docker's legal technology stack (Ironclad, Brightflag, Salesforce, and Zip) and the AI-assisted workflows we are actively building, with real ownership of your workstreams and direct influence on how those tools evolve.
RESPONSIBILITIES
- Manage contract intake, routing, approvals, and signature coordination, keeping stakeholders informed throughout the process.
- Review contracts using Docker’s playbooks and AI tools, and flag nonstandard terms or questions for attorney review.
- Support outside counsel billing operations, including invoice review, billing guideline compliance, and accrual tracking.
- Support administration of legal technology platforms, including workflow maintenance, user support, and data quality.
- Use and help improve AI-assisted workflows for contract review, drafting, and intake, including refining prompts and testing outputs against approved playbooks and attorney feedback.
- Support pilots of new AI tools and use cases, gathering user feedback and tracking accuracy, adoption, and time savings.
- Develop and maintain standard operating procedures, templates, and knowledge resources, and train stakeholders on legal technology and responsible AI use.
- Build and maintain dashboards tracking contract volume, cycle times, and outside counsel spend, translating data into actionable insights.
- Support systems integration and process improvement projects with cross-functional teams, identifying opportunities for automation and AI to streamline legal operations.
QUALIFICATIONS
REQUIRED
- 3+ years of experience in legal operations, contract management, a paralegal role, or a related operational role, including experience at a SaaS or technology company.
- Hands-on experience using a contract lifecycle management (CLM) platform, such as Ironclad, Icertis, Agiloft, or DocuSign CLM.
- Experience supporting contract intake, review coordination, or signature processes.
- Hands-on experience applying AI tools to legal or operational tasks, including drafting prompts, reviewing outputs for accuracy, and refining results.
- Strong organizational skills, attention to detail, and the ability to manage competing requests.
- Good judgment about when to follow established procedures and when to ask questions or escalate.
- Clear written and verbal communication skills and the ability to collaborate and follow through on assigned work in a remote team.
- Bachelor’s degree or equivalent professional experience.
PREFERRED
- Direct experience with Ironclad, Wordsmith, Brightflag, or similar systems.
- Familiarity with invoice review, accrual tracking, or outside counsel billing.
- Familiarity with Salesforce, Zip, or other systems connected to legal workflows.
- Experience maintaining reports, playbooks, standard operating procedures, or training materials.
- Experience supporting a small in-house legal team.
- Exposure to SaaS agreements, order forms, or commercial open-source licensing.
- Experience helping test or improve AI-assisted workflows.
This role is a strong fit for someone who enjoys hands-on operational work, likes systems and processes, and wants to expand their use of AI in legal operations. You’ll build expertise with guidance from the Senior Legal Operations Manager, focusing on process execution, technology support, and continuous improvement.
WHAT TO EXPECT
FIRST 30 DAYS
- Complete onboarding and become familiar with Docker’s legal tools, contract playbooks, and AI guidelines.
- Shadow contract intake, invoice review, and routine Ironclad administration.
- Meet key cross-functional partners and learn how Legal supports their teams.
- Begin handling straightforward requests with guidance.
FIRST 90 DAYS
- Handle routine contract intake and initial playbook-based reviews, escalating questions to the appropriate team member.
- Assist with Brightflag invoice review, accrual tracking, and spend reporting.
- Support everyday Ironclad maintenance, user requests, and data cleanup.
- Use existing AI-assisted workflows and help test improvements with team guidance.
ONE YEAR
- Reliably handle routine contract and billing workflows, recognizing when to seek guidance.
- Help stakeholders navigate legal tools, processes, and contract status questions.
- Maintain accurate reports, playbooks, and training resources.
- Contribute to process improvements and AI tool testing that help the team reduce manual work.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$141,145– CA$201,635 + equity
United States: $103,600 – $148,00 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Senior Engineer you will design, build, and operate:
AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.
RESPONSIBILITIES
Building and Operating AI Developer Tools
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards
- Build systems that help Docker's engineers adopt AI-native development tools
- Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction
Self-Service Platform
- Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster
- Help reduce time-to-production for new products from weeks to days
- Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response
Design and Delivery
- Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions
- Write clear design documents for the work you own, and participate in design reviews for the team
- Review code thoroughly and share what you learn with the rest of the team
- Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier
- Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship
Collaboration and Growth
- Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work
- Partner with Infrastructure, Security, and Data teams on integrations and shared standards
- Help newer engineers get up to speed on the team's tools, patterns, and practices
- Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience building and operating production systems
- Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
- Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience building developer tools, platform systems, or internal tools that other engineers rely on
- Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design
- Clear written and spoken communication suited to a remote, async-first company
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable working autonomously in a distributed, remote-first team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability
- Familiarity with security and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
WHAT TO EXPECT
FIRST 30 DAYS
- Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far
- Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering
- Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Shadow on-call and learn the operational profile of the team's services
FIRST 90 DAYS
- Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant
- Write the design document for work you own and take part in team design reviews
- Contribute to the self-service platform's deployment pipeline, observability integration, or security controls
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be a go-to engineer for one or more of the team's AI tools or platform components
- Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to
- Have helped teams outside AI Developer Tools build and run their own tools on the platform
- Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Staff Engineer you will own the technical design and delivery for two areas:
AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.
RESPONSIBILITIES
Technical Leadership and Architecture
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit
- Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals
Systems Design and Implementation
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling
Strategic Impact and Innovation
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction
- Improve AI tool performance, cost efficiency, and developer experience through architectural improvements
- Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
Leadership and Mentorship
- Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices
- Lead design reviews and raise the quality of design and code reviews across the team
- Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on
- Help the team turn good individual AI-assisted engineering practice into shared workflows and controls
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Track record of mentoring other experienced engineers
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date
- Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Get hands-on with the team's services and ship a useful production change
- Shadow on-call and learn the operational profile of the team's services
- Work with the Senior Manager to agree on initial technical priorities
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant problem, from requirements through to production
- Document the architecture, technology choices, and integration patterns for that work, including ADRs
- Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)
- Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management
- Lead design reviews for your area of the roadmap and begin mentoring other engineers
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker
- Deliver at least one material outcome that spans multiple teams or systems
- Have multiple production AI tools demonstrating value across Docker's engineering organization
- Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction
- Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact
- Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
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.
The Opportunity:
Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities.
What You’ll Be Doing:
Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners
Leading technical engagement with partners to drive deal progression and close opportunities
Delivering product demos, technical presentations, and hands-on enablement sessions
Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams
Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events
Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services.
Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams
Shaping and expanding the reach of Grafana Partner University across multiple partner personas
Collaborating with internal teams to provide product and competitive feedback
Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners
Run high impact workshops and 1:1 training to generate and progress pipeline
Travelling up to 50% to support cloud partner events, workshops, and field activities
What Makes You a Great Fit:
Located: United States (Remote)
6+ years in pre-sales or solution architecture, ideally within the observability space
Strong experience selling SaaS software across the NORAM region
Proven use of MEDDIC or similar qualification frameworks
Excellent communication and interpersonal skills, especially in remote, global teams
Demonstrated ability to operate in a fast-paced, ambiguous, startup environment
Strong judgement, leadership, and problem-solving abilities
Passion for education, enablement, and helping others succeed technically
Bonus Points For:
Experience with CSP’s and a strong understanding of their core infrastructure services.
Experience with cloud marketplaces, co-selling, or joint solution launches.
Solid understanding of observability and cloud native tooling
Background in OSS first companies
Experience with Grafana, Prometheus, and Loki
Hands-on experience deploying and operating Kubernetes
Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience)
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000
.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*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: Remote EMEA
Workplace: Remote
A QUICK RUN-DOWN OF THE JOB
We’re looking for a Product Manager to join LI.FI and help raise the bar on how our aggregation product performs in the real world. You’ll own two sides of the same mission: driving execution quality so every liquidity source behaves as intended and transaction success rates meet our standards, and leading how we add new liquidity sources and ecosystems to grow the product’s reach.
You’ll work closely with our Expansion team, partnering hand in hand with the tech lead to turn complex technical and business needs into clear, well-scoped work for engineering. You’ll also manage relationships with external partners like decentralised exchanges, and collaborate across BD, QA, and Data to keep the product reliable and improving.
The role reports to our Product Lead and sits within a small, focused product team.
Please note: This role is remote within Europe. Your application will not be considered otherwise.
WHAT YOU’LL DO
- Own execution quality for our aggregation product, defining what good looks like and driving the monitoring, metrics, and features that get us there
- Lead the onboarding of new liquidity sources and ecosystems end to end, from identifying opportunities to driving them to launch
- Work hand in hand with the Expansion tech lead to translate business and technical needs into well-defined tickets and specs for engineering
- Monitor API behaviour and the performance of our tools, catching issues before they reach partners and users
- Build and maintain relationships with third parties, including decentralised exchanges and other liquidity partners
- Collaborate closely with BD, QA, and Data to align on priorities, surface issues, and feed improvements back into the product
WHAT MAKES A GOOD CANDIDATE
- Ideally 5+ years of experience as a Product Manager, with a strong track record in a technical product environment
- Blockchain experience is a must: ideally coming from a blockchain company so you can hit the ground running on how the ecosystem works
- Strong analytical and data-driven mindset, with the ability to interpret data, spot patterns, and translate findings into product decisions
- Excellent communicator, confident talking to external partners like decentralised exchanges and able to translate technical issues into clear, actionable solutions
- Strong attention to detail: you notice when something is off and dig into it
- AI literate: you actively use AI tools in your workflow and understand how to apply them to product work
- Collaborative mindset, strong organisational skills, and a process-oriented approach to work
NICE TO HAVE
- Track record of working on data products
- Experience monitoring API performance or working on execution quality in a technical product
- Familiarity with aggregation, routing, or liquidity-related products in crypto or fintech
We encourage you to apply if you feel your experience and skills equip you for this job but are not listed here!
COMPANY CULTURE
- Embracing the differences
- Embrace your own differences
- Respect and welcome the unique qualities of others
- See others’ differences as an opportunity to grow
- Own it, do it
- Own tasks end-to-end
- Hold yourself to a high bar for execution
- Make bold decisions, and be accountable
- Understand your limitations and seek for help
- Fail forward
- Try - don’t be afraid to fail
- Learn - don’t make the same mistake twice
- Adapt - grow with the experience
- Have fun together
- Take the time to get to know and understand each other better
- Don’t take yourself too seriously and keep it light-hearted
- Fun should be coming from a place of love and respect
WHAT YOU’LL GET
- Annual company offsites — we've explored Thailand, Vietnam, Morocco, and Greece together. Next stop for 2027: TBD!
- 30 days of PTO
- Flexible remote days
- Flexible working hours
- Equity participation from day 1
- Entitlement to work computer (choice of equipment)
- An annual 1,000€ personal development budget once you have worked 6+ months (pro-rated the first year)
- A one-time 1,000€ remote budget to use on coworking, office setup, etc.
If you join us as an independent contractor, you’re only entitled to the first five benefits of this list.
APPLICATION PROCESS
Setting yourself up for success starts with the application! Click here https://www.notion.so/Setting-yourself-up-for-a-great-start-112f0ff14ac780d58c6ee346f3856bec?pvs=21 to discover valuable tips that will help you navigate our application process effectively.
LI.FI http://LI.FI is an equal opportunity employer. We encourage individuals of all backgrounds to apply. Join us in our dedication to fostering a workplace that values and respects each team member's unique contributions.
Shortlisted candidates will undergo a comprehensive interview process, including a people operations interview, a take-home assignment, a meet-the-team & founder interview, and a reference check.
For more information, visit our page https://www.notion.so/Hiring-Process-at-LI-FI-2e3ec55d96114976abc635866ae73ea3?pvs=21 detailing our hiring process!
Компания Centicore занимается продуктовой разработкой проектов Заказчиков под ключ. Вакансия Senior DevOps с удалённым форматом работы (РФ) и зарплатой 300 000-400 000 рублей на руки.
Требования:
— Опыт работы от 4-5 лет в эксплуатации высоконагруженных распределённых ИТ-систем.
— Отличные знания Kubernetes.
— Практический опыт настройки сетевых фабрик и Service Mesh (например, Istio, Linkerd).
— Опыт развертывания, оптимизации и масштабирования open-source компонентов Observability: сборщики и CDC (Vector, Debezium, OpenTelemetry Collector).
— Опыт работы с брокерами Apache Kafka (настройка кластеров, тюнинг партиций, управление квотами, обеспечение отказоустойчивости).
— Навыки администрирования, горизонтального масштабирования и резервного копирования баз данных (реляционных и аналитических/временных рядов): VictoriaMetrics, ClickHouse, Elasticsearch.
— Уверенное владение инструментами Infrastructure as Code (Terraform / OpenTofu, Ansible).
— Опыт построения CI/CD пайплайнов (GitLab CI, ArgoCD).
— Уверенное владение Bash/Shell.
— Хорошие навыки автоматизации рутинных задач на Python или Go.
Условия:
— Удалённый формат работы в IT аккредитованной компании.
— Длительный проект.
— Оплачиваемый отпуск 28 календарных дней в год и оплачиваемые больничные.
— Предоставление техники (MAC, Windows).
— ДМС со стоматологией.
— Компенсация хобби/спортзала/английского языка.
— Компенсация профессионального обучения.
— Возможность участия во внутренних программах компании и активностях, например, в реферальной программе «приведи друга».
— Онлайн и оффлайн корпоративные мероприятия (йога, шахматы, покер, квиз, марафон, CS2 и др.).
— Программа лояльности Сентибонусы за проявление активностей, стаж работы и др..
— Оформление по ТК.
УдалённоseniorГеография найма не уточнена
УдалённоМожно работать из любой страны
УдалённоE-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
