Location: San Mateo
Workplace: Hybrid
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs.
Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers.
THE MISSION
Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing.
THE OPPORTUNITY
As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use.
If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role.
WHAT YOU'LL DO
- Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond
- Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments
- Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes
- Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem
- Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you
- Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap
- Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements
WHAT YOU BRING
- 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer
- Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API
- Real experience deploying software into enterprise customer infrastructure
- Strong Python proficiency (required) and AWS proficiency (required)
- A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between
- Experience building post-sales processes or playbooks from scratch
- Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus
- A technical degree (CS or equivalent)
- A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture
- Willingness to travel to customer sites as needed (roughly 15%)
- Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator
Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close.
WHY JOIN?
- Compensation: $230,000–$300,000 base plus extremely competitive equity
- Health benefits: 100% covered health benefits (medical, vision, and dental)
- 401(k): 401(k) plan with a 4% company match
- Time off: Unlimited PTO
- Wellness: Annual $2,000 wellness stipend
- Learning & development: Annual $1,000 learning and development stipend
- In-office perks: Daily lunches and snacks provided in the office
- Relocation: Relocation assistance for employees moving to the Bay Area
- Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships
- Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers
- Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean
- Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person
- Visa support: Open to visa transfers, including OPT and H-1B transfers
INTERVIEWING PROCESS
- Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics
- Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset
- Coding Screen (1 hour) — Live coding in Python with end-to-end debugging
- On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
ГибридRelocation: Relocation assistance for employees moving to the Bay Area
Проект — индустриальная платформа визуализации данных нового поколения: мониторинг высокочастотных сенсорных данных промышленных активов в реальном времени.
Задачи:
- Проектировать и разрабатывать веб-приложения на React.js и Angular в связке с TypeScript
- Создавать эффективные и отзывчивые веб-интерфейсы с фокусом на визуализацию данных и динамическую генерацию UI-форм
- Оптимизировать и рефакторить существующий код
- Обеспечивать интеграцию с backend-сервисами через REST API, устанавливать best practices, проводить code review
Требования:
- Глубокая экспертиза в React.js и Angular (продвинутые паттерны компонентов, управление состоянием)
- Сильное владение TypeScript, глубокое понимание JavaScript (ES6+), HTML5, CSS3
- Знакомство с Webpack, опыт интеграции API и асинхронного программирования
- Знание frontend-фреймворков тестирования, владение Git
- Хорошие коммуникативные навыки на английском (C1)
- Будет плюсом: Vue.js, gRPC/WebSockets, d3.js / Ant Design / ECharts / MUI, GitLab CI, AWS
Условия:
- Оформление по ТК Республики Казахстан
- Компенсация ДМС после испытательного срока
- Удалённый формат работы в международной команде
Location: London, United Kingdom
Workplace: none
About InvestEngine
We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait.
About the role
We’re hiring our
first dedicated Analytics Engineer
at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on.
You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it.
We’re actively modernising our data stack, and we want the person in this role to shape it.
Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them.
Who thrives here
We’ve pitched this at
mid to senior level
, but the honest position is that the level matters less than the appetite. The ultimate test is
hunger, and the desire to shape this space and have real impact
. If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger.
Beyond that, this role suits someone who:
Operates well with ambiguity and limited structure.
You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go.
Wants a small, fast company on purpose
— not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding.
Lives in the tools, not in email chains.
You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs.
Can point to things they’ve actually built and shipped
, not just designs or concepts they contributed to.
Already uses AI to do the job better
— Claude, Copilot, or similar — and is curious about where it can go further.
Learns fast.
We care more about how quickly you close a knowledge gap than how complete your CV looks today.
Works well directly with Product, Marketing, Operations, and Engineering
, not just with other analysts — this role sits right at that boundary.
Our values
Everyone at InvestEngine is expected to live these, and this role will be assessed against all five:
Act like an owner
— you take responsibility for outcomes, not just tasks
Keep improving. Stay curious.
— you push your own standards and the team’s, and you’re genuinely curious about better ways to work
Achieve more together
— you make the people around you (business stakeholders included) more effective, not just yourself
Speak up. Share openly.
— you flag risks, disagreements, and better ideas rather than sitting on them
Put customers first. Create real value.
— you build things because they solve a real problem, not because they’re interesting to build
What you’ll do
Analytics engineering & the semantic layer
Design, build, and maintain
dbt Core
models that transform raw data into clean, well-tested, well-documented datasets
Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against
Establish and enforce data modelling standards, testing practices, and documentation as the function scales
Evaluate and help roll out modern BI tooling — experience with
Lightdash, Omni, Looker, or Metabase
all translates well — to make metrics genuinely self-serve for non-technical stakeholders
Building the AI context layer
Structure our models, metric definitions, documentation, and lineage so they’re
machine-readable, not just human-readable
— because our semantic layer is what AI tooling reasons over
Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place
Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is
Use
Claude
to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and
Notion AI
to keep documentation and runbooks current and genuinely useful
Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well
Data engineering & the platform
Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow
Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit
Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it
Warehouse cost & performance
Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked
Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly
Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about
Data quality & observability
Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software
Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard
Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows
Upstream influence
Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements
before
data reaches the warehouse — good analytics starts at the source, not in the transformation layer
Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables
Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well
Business partnership
Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements
Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem
Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform
Governance
Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome
Implement least-privilege access across datasets, reports, and dashboards
What we’re looking for
Must-haves
Hands-on production experience with
dbt
(we run dbt Core) — this is a hard requirement
Strong SQL expertise
Solid
Python
for data engineering and automation
Working knowledge of
AWS
data services
Experience with
GitHub
and
GitHub Actions
(or equivalent CI/CD tooling) for testing and deploying data code
Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics
Comfortable using AI tools as part of your day-to-day engineering workflow
Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language
Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch
Nice-to-haves
Airflow
or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte
Warehouse cost and performance tuning, particularly on Redshift
Fintech, investment management, or another regulated industry
Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection
Experience with Notion AI or Asana automations
Day-to-day working style
We favour clear thinking and simple, well-tested solutions over cleverness
We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job
We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team
As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included
We believe data should be
as accessible as it can safely be, and as restricted as it needs to be
— good judgement applied consistently, not blanket lockdown
Practical details
Reports to:
Chief Data Officer
Team:
Data & Analytics
Level:
Mid to Senior
Location / working pattern:
London / hybrid
Location: Remote in EMEA
Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available.
About the job
Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit
www.testlio.com
.
We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering.
Why will you love this job?
Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API.
Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing.
Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage.
Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API.
Why will you love being a part of Testlio?
Great Culture:
Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our
inclusive, purpose-driven culture
where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network.
Remote Work:
Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a
fully remote and globally distributed team.
Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace.
Investment in You:
Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development.
Winning Business:
Testlio is growing, profitable, and cash-strong. We are leading our industry with
exceptional clients
who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio.
What would your day look like?
Shaping what's next
Stay close to the code:
Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently.
Public API strategy:
Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path.
Integration architecture:
Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core.
Roadmap ownership:
Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production.
Running it with rigor
Engineering operating rhythm:
Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability.
Technical leadership:
Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions.
Third-party dependency management
: Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages.
Production support and escalations:
Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency.
Reliability and observability:
Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check.
Team growth:
Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation.
What do you need to succeed?
Technical skills
Engineering management:
5+ years managing a team of 4+ engineers in an agile, remote environment.
Hands-on technical leadership:
Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team.
Public or partner-facing API ownership:
Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground.
Third-party integration systems:
Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control.
Technical stack:
Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns.
Nice-to-haves
Identity and access:
Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles.
Broader stack familiarity:
Kafka, GraphQL, Python, and React are a plus.
Observability and performance:
Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions.
Application security:
Knowledge of application security best practices and integrating security review into the SDLC.
Legacy modernization:
Experience modernizing legacy systems or paying down significant technical debt while keeping a product running.
SaaS experience:
Prior experience managing a SaaS product is a plus.
Human skills
Fluency in English, with excellent written and verbal communication.
Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting.
Organized and thorough, with a meticulous approach to standards and process.
Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement.
Results-oriented, with data-driven decision-making.
What is the application process?
We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks.
Application review
Recruiter interview
Hiring Manager Interview
Live Technical Exercise
2 team and stakeholder interviews
Reference checks
Offer
Diversity and inclusion
Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the
DEI section
of our website.
#LI-Remote
Location: Kyiv; Lviv; Vinnytsia
Workplace: onsite
Ajax Systems is an international technology company and the largest security systems manufacturer in Europe. Ajax products are trusted by more than 4.5 million end users and 330,000 PRO users across over 180 countries. The company offers comprehensive solutions for protecting residential and commercial properties of various sizes. Today, the Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation. Every year, we demonstrate exponential growth both in the size of our team and in the number of users worldwide.
Ajax Systems operates a full-cycle production model, from idea generation and prototyping to mass production and global sales. Each department fully covers a specific operational need of the business. The company’s specialists are involved at every stage — from the production line in Ukraine to the logistics center in Poland, from where products are shipped to distributors worldwide.
Now we are looking for a hands-on Cyber Security Specialist to strengthen our security posture and operational resilience. You will be at the forefront of our cybersecurity defense, responsible for incident monitoring and investigation, the deployment and improvement of security solutions, and ensuring our corporate processes and infrastructure meets compliance standards. If you are passionate about building secure systems, incidents investigation and translating technical findings into efficient mitigation actions, this role is for you.
Key Responsibilities:
Security systems support and improvements:
Participate in security architecture improvement, provide support for the full lifecycle of security systems — from design and deployment to enhancement and technical support.
Security Monitoring & Incident Response:
Improve security monitoring processes and practices, participate in security events monitoring and triaging detected events. Develop and refine SIEM detection rules, investigate anomalies and identify root-cause of incidents, develop and execute mitigation plans to neutralize threats.
Conduction Security Assessments:
Conduct technical security assessments of corporate IT systems to identify compliance deviations and vulnerabilities. Participate in risks assessments, mitigation measures design and implementation.
Compliance & Governance:
Participate in improvement of security procedures, policies, and operational instructions. Collaborate with stakeholders on security processes implementation and improvement to ensure readiness for external security audits (e.g., ISO 27001, SOC2).
Consultancy & Support:
Partner with internal teams to define security requirements for new systems and solutions, provide expert guidance on implementing security controls. Participate in security requests processing, security awareness trainings preparation and conduction.
Reporting & Strategy:
Participate in preparation of reports for management, definition and description of security strategy.
Required Technical Skills & Qualifications:
Experience:
5+ years in CyberSecurity with a strong focus on SOC operations and security systems implementation.
Core Proficiency:
Hands-on experience with SIEM systems (Splunk/QRadar/Logsign/Wazuh), MDM solutions (Jamf/Crowdstrike/JumpCloud/Zoho), EDR/XDR solutions (SentinelOne/ESET/Defender), Cloud security monitoring (M365, GWS, AWS), and Firewall/WAF technologies (Cisco/PaloAlto/Fortinet/Ubiquiti).
Domain Knowledge:
Strong understanding of On-Premise and Cloud architectures, network security protocols, endpoint and application security. Practical experience in industry security best practices implementation (CIS, OWASP, NIST).
Security assessment:
Practical experience performing IT systems and application security assessments and reports preparation.
Security governance:
Experience in preparation of security reports, procedures and instructions for reporting. Practical knowledge of ISO 27001 technological controls implementation.
Language Proficiency:
Intermediate (B1-B2) English level required for working with technical documentation, cross-regional communication with colleagues and partners.
Preferred Skills & Certifications:
Certifications:
Vendor-specific security certifications (e.g., Google, MIcrosoft, Cisco, Palo Alto PCNSE, Fortinet NSE) are highly valued.
Frameworks:
Practical
knowledge of ISO 27001 organizational controls implementation.
Why Join Us:
Impact:
Take ownership of security projects from concept to deployment.
Culture:
Work in a "zero bullshit" environment that values technical excellence and autonomy.
Growth:
Access to corporate English training and professional development/certification support.
Health care:
medical insurance.
Beta Access:
Get hands-on experience with new Ajax security systems before they reach the market.
Innovation:
Help shape the future of "Made in Ukraine" reliability.
Задачи:
- Работа с Java Core и Spring Framework (Spring Boot, Spring Data, Spring Cloud)
- Работа с базами данных (PostgreSQL, Oracle DB)
- Применение принципов микросервисной архитектуры
- Работа с Kafka, Docker, Kubernetes
- Работа со сборщиками Maven и Gradle
Требования:
- Опыт от 5 лет
- Будет плюсом: Java EE (JPA, EJB, JNDI, JMS, JTA)
- Опыт работы с Oracle/PostgreSQL
- Знание DevSecOps
- Будет плюсом: опыт в Big Data, ML, AI
- Будет плюсом: знание Groovy/Scala
- Будет плюсом: опыт с облачными платформами (AWS, Azure, GCP)
Location: Amman, Jordan
We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels.
Responsibilities
Implement and install solutions at customer's infrastructure platforms.
Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers.
Act positively and respond promptly to the customer’s requests/tickets.
Prepare, review and ensure the accuracy of technical documentation.
Conduct Preventive / Corrective Maintenance visits.
Perform any other job-related duties related to work.
Requirements
Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field.
At least 2 years experience in a similar field.
Willing to travel and work extra hours when needed.
Experience in database engines (Oracle, MS-SQL, and PostgreSQL).
Experience in operating systems (Linux and MS Windows).
Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad)
Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere).
Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible)
Knowledge in Directory Services (AD & LDAP).
Excellent personal skills
Professional effective communication, verbal and written
Customer oriented mentality
Details oriented and a team player
Initiative and self-managed
Time management and result oriented
Experience in one or more of the below is a plus:
Experience in large enterprise environments with emphasis on payments, remittance solutions.
Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure.
Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies.
Knowledge of PKI Infrastructure and Certificate Authorities.
Knowledge of database engines (MySQL and NoSQL Databases).
Knowledge of server and client operating systems (Linux Distros, MS Windows).
Knowledge in Object Storage management.
Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak).
Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).
О компании. AgVend — B2B SaaS-платформа для агросектора Северной Америки, 8 лет на рынке, около 30% рынка ag-retail в США и Канаде, около 150 человек, из них около 100 в R&D. Полностью удалённая работа, офисы в Канаде, США и на Кипре для желающих.
Стек. Python, Django, DRF, Postgres, ClickHouse, AWS на бэкенде. TypeScript и React на фронтенде. Модульный монолит (3 крупных приложения и микросервисы-сателлиты). 5 продакшн Kubernetes-кластеров, около 150 тенантов, около 5K RPM. CircleCI, Docker/ECR, Helm/Terraform, blue-green деплой.
Задачи:
— Полноценная fullstack работа: проектирование API на Django/DRF и реализация UI на React/TypeScript в рамках одной задачи.
— Реализация фич end-to-end: от модели данных и миграций до компонентов и состояния на фронте.
— Владение зоной ответственности: архитектура, code review, ответственность за продакшн.
— Работа с реальной нагрузкой: Postgres и ClickHouse, мульти-тенант, миллионы записей.
Требования:
— Senior, 5+ лет коммерческой разработки.
— Уверенный Python и Django/DRF на уровне продакшн под нагрузкой с Postgres.
— React и TypeScript на продуктовом уровне: state management, оптимизация рендеринга, сложные формы и таблицы.
— Комфортная работа и на бэкенде, и на фронтенде.
— Самостоятельность, ведение зоны без микроменеджмента, прямая работа с PM.
— Русский язык — основной рабочий, английский — рабочий уровень.
Будет плюсом:
— Опыт с ClickHouse и аналитическими базами данных.
— Опыт с highload/финтех.
— Знания Kubernetes, Helm, Terraform, CircleCI на уровне "могу починить пайплайн".
— Опыт с очередями и распределёнными системами (Kafka, RabbitMQ, идемпотентность).
Условия:
— Только сеньорская команда, плоская структура (EM + senior IC, без техлидов).
— Безлимитные отпуска, soft management, нет фиксированных часов, асинхронная коммуникация.
— Оффсайты 2 раза в год (Кипр и Грузия/Армения).
— Бюджет на обучение, конференции, технику.
— Очень низкая текучка — многие работают по 5–6 лет.
— Коммуникация внутри команды на русском.
Location: Remote - Global
Workplace: Remote
About the company
Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place.
If you’re passionate and motivated by building modern, cloud native and cloud agnostic platforms we invite you to join us to build innovative crypto architectures and advance technologies that will accelerate the delivery of web3 innovations to our users.
Responsibilities:
- Infrastructure: You will be spearheading the planning and execution of infrastructure deployments, leveraging automation tools and best practices to guarantee a stable and scalable foundation for the platform serving our million users.
- Operations: You will be managing day-to-day operations, troubleshooting issues, and optimizing workflows to maintain high availability (HA) and meet service level objectives (SLOs) for the platform.
- Feature development: You will be owning backend features that support all our platforms (extension, mobile and desktop).
- Interfacing with users: You will be interfacing directly with end-users and developers building on Trust Wallet – supporting them and collecting feedback to inform the direction of the product.
- Team building: You will be working with the team to create and foster a culture of raising the bar with each new hire.
- AI & DevX: You will leverage AI engineering best practices to boost developer productivity and engineering velocity—standardizing AI-assisted workflows (coding, reviews, debugging, incident response), building/maintaining internal tooling and prompts/guardrails, and measuring impact through delivery and reliability metrics.
Qualifications:
- Deep experience managing and building with Cloud Platforms (AWS, Cloudflare)
- Experience with Kubernetes and adjacent technologies (Istio, Helm Charts)
- Experience with infrastructure configuration management (Terraform, Atlantis)
- Experience building CI/CD pipelines and accelerating application delivery (GitHub Actions, ArgoCD)
- Experience with production observability technologies (Prometheus, Grafana, Sentry)
- Hands on Go lang experience (Networking, HTTP, gRPC, OpenTelemetry)
- Expertise in implementing SRE principles, focusing on maintaining high availability
- Familiar with incident handling and on-call responsibilities
- Experience leveraging AI-assisted engineering tools and best practices (e.g., LLM coding assistants, AI-driven code review/testing, prompt patterns/guardrails)
- Strong security fundamentals and hands-on experience implementing cloud and Kubernetes security best practices.
ADDITIONAL INFORMATION
This is a global and fully remote role. You must have the right to work for the country you are based.
WHY WORK AT TRUST WALLET?
- Be a part of the world’s leading blockchain ecosystem that continues to grow.
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
- Tackle fast-paced, challenging and unique projects.
- Work in a truly global organization, with international teams and a flat organizational structure.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
Location: San Francisco, California; United States (Remote)
Workplace: Remote
ABOUT THE ROLE
AI teams are assembling their stacks from a fast-moving set of best-in-class tools — model providers, agent SDKs, evaluation and observability platforms, cloud services. Temporal is the durable execution layer that ties those pieces together and makes them production-grade. That position is a strategic advantage, and it needs a dedicated owner.
As Staff Product Manager, AI Ecosystem, you own Temporal's integrations and partnerships product portfolio — the surfaces where Temporal meets the rest of the AI stack. You'll define how Temporal is better together with best-in-class tools (eg, from OpenAI, Google, AWS, Braintrust, and more), and how Temporal becomes the durable foundation developers reach for from prototype to production.
This is a role where shipping the integration code is just the beginning. You'll drive business leverage through the narrative, the reference architectures, the enablement, and the sustained momentum that make an integration matter to customers and to the field. You'll partner with Engineering, Product Marketing, Partnerships, Sales, Solutions Architecture, and DevRel to take products to market and drive real adoption.
Location: San Francisco Bay Area (strongly preferred); remote (US) considered with heavier travel
WHAT YOU'LL DO
- Own the integrations & partnerships product roadmap. Identify, prioritize, and sequence the integrations and partner experiences that make Temporal the execution layer of choice across the AI stack, and make the hard calls about what not to build.
- Stay in the market daily. Be in customer conversations constantly and track a fast-moving AI tooling landscape. Turn what you learn into a roadmap grounded in real, current user needs.
- Help define the "Temporal for AI" ecosystem story. Work with cross-functional partners to drive the positioning, reference architectures, and composable building blocks that help AI engineers see how Temporal fits their architecture — prescriptive enough to be useful, adaptable enough to fit their stack.
- Take products to market with GTM. Partner with internal GTM (Product Marketing, Sales, Solutions Architecture, DevRel) and with partner GTM orgs to launch integrations and drive adoption.
- Drive internal enablement. Make sure the field knows how to sell, deploy, and support every integration in the portfolio. Help build the demos, talk tracks, and reference materials at the right altitude.
- Define and track success. Set the KPIs that tell us whether the ecosystem strategy is working. Our priors is that early-stage ecosystem bets are measured by adoption and momentum, not immediate revenue.
WHAT YOU'LL BRING
- Staff-level product ownership. You take an ambiguous strategic question and turn it into a roadmap and shipped outcomes with minimal direction. 8+ years in product management or an equivalent track record.
- Deep AI fluency. You are hands-on with the AI tooling landscape (eg, agent frameworks and SDKs, model providers, eval and observability tools) and you have an opinionated, well-reasoned view of where it's going. If you're not touching this technology regularly, you'll fall behind, and this role can't afford that.
- Ecosystem, platform, or partnerships product experience. You've owned integrations, a developer platform, or partner-facing products, not just end-user features.
- GTM partnership instincts. You've worked hand-in-hand with Product Marketing, Sales, Solutions Architecture, and external partners to launch products and drive adoption, and you can enable a field organization to sell something new.
- Technical literacy. You reason fluently about AI systems, and can hold your own in a design conversation with Staff engineers. You don't need to write production code.
- Narrative-grade writing. You build stories. You can write the document that aligns an organization and changes what it invests in.
NICE TO HAVE
- Background in distributed systems, durable execution, or workflow orchestration
- Hands-on experience with Temporal or comparable systems
- Prior DevRel, field-facing, or technical-marketing-adjacent experience
- A track record of building reference architectures or developer enablement programs
WHY TEMPORAL
- You'll shape how the industry builds AI. Temporal's position underneath the AI stack is rare and strategically valuable. You'll own a meaningful part of it.
- Deeply involved in AI. We power many of the biggest names in the space, and partner with the companies defining it.
- Open source at the core, a strong engineering culture, and a developer-first mission.
- Well-funded with a strong growth trajectory.
- Competitive compensation, equity, and comprehensive benefits.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: India; France; United Kingdom; Germany; The Netherlands
Workplace: Remote
ABOUT THE MANAGED POSTGRES TEAM
The Managed Postgres team is building a high-performance, reliable PostgreSQL service within ClickHouse Cloud. We give developers a familiar PostgreSQL experience, remove operational burden, and connect transactional Postgres workloads with real-time analytics in ClickHouse. The team owns provisioning, high availability, backup and recovery, upgrades, observability, performance, security, and developer experience.
ABOUT THE ROLE
We are looking for an Engineering Manager to lead the team building and operating ClickHouse Managed Postgres. You will combine people leadership, technical direction, product thinking, and operational ownership while maintaining the reliability customers expect.
You will report directly to Kaushik Iska, who leads the Managed Postgres organization. You will partner closely with Product, Design, Infrastructure, Security, Support, and engineering teams across ClickHouse.
WHAT YOU WILL DO
- Lead, coach, and grow a high-performing team through clear expectations, feedback, development, and direct performance management.
- Own outcomes across provisioning, fleet management, failover, point-in-time recovery, upgrades, observability, performance, and security.
- Turn customer and business needs into a multi-quarter roadmap with incremental milestones.
- Guide architecture and help senior engineers make explicit, sound tradeoffs.
- Raise operational quality across SLOs, on-call, incidents, maintenance, and automation.
- Work directly with customers and turn recurring pain into product improvements.
- Align dependencies, surface risks early, and keep execution predictable across a distributed organization.
- Hire the right mix of PostgreSQL, systems, infrastructure, reliability, and product engineering talent while fostering ownership and clear technical debate.
WHAT YOU BRING
- 8+ years in software engineering, including 3+ years managing engineers in infrastructure, databases, or developer platforms.
- Experience building and operating a customer-facing stateful service with demanding availability, durability, security, and performance requirements.
- Working knowledge of PostgreSQL or managed relational databases, including replication, WAL, high availability, recovery, upgrades, observability, or performance diagnosis.
- Technical credibility to engage deeply in architecture and incidents without owning daily implementation.
- A record of hiring, coaching, developing, and retaining engineers, including senior ICs.
- Strong execution judgment across ambiguity, parallel workstreams, risk, and long-term system health.
- A customer mindset, strong Product partnership, clear communication, and distributed-team leadership.
NICE TO HAVE
- Managed PostgreSQL, relational database, or cloud control-plane leadership
- PostgreSQL internals, extensions, replication, storage, performance, or database reliability depth
- AWS, GCP, Azure, Kubernetes, infrastructure as code, or multi-region experience
- Experience taking infrastructure from early adoption through general availability
- Open-source, technical writing, speaking, startup, or founder experience
WHY THIS ROLE
- Shape a strategic product at the intersection of PostgreSQL and ClickHouse.
- Lead a technical team where correctness, performance, reliability, and developer experience all matter.
- Influence the product, roadmap, operating model, and customer outcomes.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Who we want
We are seeking exceptional Software Engineering Interns for our 10-week summer program in New York City. As a core member of our engineering team, you'll build and launch features that directly impact real people — helping our members find top doctors and manage medical claims with ease.
You'll work alongside a passionate, multidisciplinary team of engineers, designers, and product managers, taking ownership of meaningful problems in a fast-paced, agile environment. This is hands-on experience building the systems that power our mission: transforming the healthcare economy to deliver high-quality, affordable care for all.
Select interns will be offered full-time roles upon successful completion of the program.
What you will do
Use AI to build, optimize, and maintain software systems
Collaborate across disciplines to understand our domain and iterate on projects
Participate in code reviews, sharing your insights and learning from others
Engage in problem solving sessions with senior engineers and team leads where your unique perspective will be valued
Deliver a capstone project presentation to engineering leaders and business stakeholders, demonstrating your work and impact
What we're looking for
Currently pursuing a Bachelor's or Master's in Computer Science or related STEM field (expected graduation Fall 2027–Spring 2028)
Solid CS fundamentals with exposure to front-end (JavaScript, React) or back-end (Python, Node.js) technologies; familiarity with databases or cloud platforms (AWS, Docker) is a plus
Exposure to or interest in building with AI coding agents (we use Claude Code) is a plus
Strong problem-solver who enjoys breaking down challenges and finding elegant solutions
Self-starter who takes ownership of their work and is motivated by real-world impact
Clear communicator who can discuss technical ideas with both technical and non-technical audiences, and takes feedback well
Excited by fast-paced environments and eager to stretch their skills
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation
The weekly pay rate for this role is $2,400. In addition to base compensation, this role is eligible for a housing stipend.
Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Who we want
This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Software Engineer, you’ll be embedded in our Engineering organization.
Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in doing great work and stay curious about new techniques and technologies.
What you will do
Use AI to build, optimize, and maintain software systems
Collaborate across disciplines to understand our users and iterate on new ideas
Protect our users’ privacy and security through secure coding practices
Participate in code reviews, sharing your insights and learning from others
What we're looking for
Recent graduate (Spring 2026) or currently enrolled student (expected graduation of Fall 2026 or Spring 2027), with a Bachelor's or Master's in Computer Science or a related STEM field
Solid CS fundamentals with experience in front-end (JavaScript, React) or back-end (Python, Node.js) technologies
Experience with a database system such as PostgreSQL or ElasticSearch; familiarity with cloud platforms (AWS, Docker) is a plus
Exposure to building with AI coding agents (we use Claude Code) is a plus
A track record of shipping high-quality features through internships or personal projects
Strong technical writing, analytical, and communication skills
Excited to join a high-performing, mission-driven team that values urgency, accountability, and honest feedback
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation
The base pay for this role is $165,000. Individual compensation will depend on qualifications, skills, and applicable laws.
In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more.
Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential by building secure, reliable, and scalable internal systems that keep the company running smoothly.
As a
Staff Full-Stack Software Engineer
specializing in AI, you will personally design and build the AI agent capabilities and product experiences for an internal enterprise intelligence platform. This includes the retrieval, orchestration, and reasoning layer that sits on top of a semantic data layer built and maintained by a partner data engineering team. You’ll turn these capabilities into search, chat, and workflow experiences that help leaders find information and make decisions faster. This is a hands-on, coding-majority role. You’ll build the agents, prompts, tool integrations, and full-stack product surface yourself.
You’ll work directly with product owners, system leads, and domain experts across HR, Finance, IT, Legal, and Workplace to understand real workflows. You’ll also work closely with a partner data engineering team that owns ingestion, the semantic layer, and the underlying data model. You will consume and help shape requirements for that layer rather than building it yourself. Your work will directly improve how Rioters hire, plan, spend, onboard, and operate at scale.
The ideal candidate is a deeply experienced full-stack software engineer who has personally shipped AI-enabled products at scale, is comfortable building in ambiguous and evolving problem spaces, and takes ownership of systems from the first commit through production operation.
The role will report to the Manager of Enterprise Systems Engineering.
Responsibilities:
Build and maintain an orchestrator + specialist-agent architecture (retrieval, tool use, structured outputs, multi-step reasoning) on top of a semantic data layer owned by a partner data team.
Design and implement retrieval and grounding for RAG/semantic search use cases: embeddings, reranking, citation of evidence, and techniques to reduce hallucination.
Integrate agents with internal and external tools/APIs (function/tool calling) to let them take real actions, not just answer questions.
Build the full-stack application layer, APIs, and UI that exposes AI-powered search, chat, and workflow experiences to end users.
Instrument AI features with observability for quality, latency, token usage, and cost, and use it to drive iteration and tuning.
Iterate on prompts and model choices quickly, with sensible fallback behavior when a model, tool, or retrieval step fails or returns low-confidence output.
Apply solid engineering fundamentals: source control, code review, automated testing (unit, integration, functional), CI/CD, and on-call for the systems you own.
Required Qualifications:
Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent professional experience delivering enterprise technology solutions).
8+ years of professional experience in full-stack software development
Practical, end-to-end experience building RAG or agentic systems: retrieval, tool-calling, structured outputs, multi-step reasoning, and verification/evaluation loops, not just familiarity with LLM APIs.
Experience designing and running evaluation approaches for nondeterministic systems: curated datasets, automated metrics, human review, and production feedback.
Experience establishing basic AI observability (quality, safety, reliability, latency, token usage, cost) for features you build.
Working understanding of AI security and responsible-use risks, prompt injection, tool abuse, data leakage, access control, model limitations, sufficient to build safeguards into what you ship.
Deep hands-on programming experience in Node, TypeScript, React.
Experience with modern frameworks (e.g., NextJS, NestJS).
Experience building RESTful and GraphQL APIs, working with relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Redis) databases.
Comfortable with cloud infrastructure and deployment: AWS, containers (Docker), orchestration (Kubernetes), CI/CD pipelines.
Familiar with software engineering best practices: automated testing, code review, monitoring/observability, security and performance considerations.
Desired Qualifications:
Deep practical knowledge of retrieval-augmented generation and semantic search, including embedding and reranking models, retrieval design, grounding, citations, and evaluation.
Experience with agent platforms (e.g., LangGraph, AutoGen, CrewAI, or comparable), vector databases, and multi-agent orchestration patterns.
Working familiarity with Python and lakehouse/data-catalog concepts (e.g., Databricks, Unity Catalog), enough to collaborate effectively with the data engineering team, without needing to own pipeline build-out.
Experience shipping an internal AI product from scratch as part of a small, fast-moving team, comfortable with a "scrappy MVP, iterate" delivery style rather than a fully-specified roadmap.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
London, United Kingdom
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