Location: Serbia
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for
IT Support & Operations Specialist
.
Your main tasks will be:
Run the infrastructure end-to-end: VPS, dedicated servers, virtual machines, VPN, MFA, firewall, remote access — plus the monitoring, logging, and backups that keep it honest.
Administer Google Workspace completely — accounts, groups, aliases, security policy, SPF/DKIM/DMARC, and any migrations that come with it.
Own Slack, OpenAI, and every other SaaS platform we run — including version and system migrations when they happen.
Be the actual IT support for a distributed team — L1/L2 on Mac and Windows, onboarding and offboarding, remote laptop setup, device lifecycle.
Negotiate with vendors, manage procurement, and control payment on cloud resources, licenses, and invoices — the part most sysadmins never touch, but you will.
Show up occasionally when we run an offline "station" and physically set up the room — laptops, mics, sound.
We expect from you:
You've spent 5+ years as a sysadmin or in IT ops, and you've actually run Google Workspace top to bottom — including a domain migration, not just user management.
You know Slack, Confluence, Jira, and SSO/2FA (Okta, Google, Azure AD or similar) from hands-on use, not a course.
You've got working knowledge of at least one public cloud (AWS/GCP/Azure) and the on-prem basics — DNS, DHCP, VPN, VLAN, firewall.
You've built and tested backups, not just scheduled them, and you understand mail security (SPF/DKIM/DMARC) well enough to fix it when it breaks.
You've dealt with vendors and procurement directly — contracts, invoices, renewals — this isn't a nice-to-have here, it's half the job.
Scripting (bash/Python/PowerShell) is a plus, not a requirement.
Your English and Russian are both solid enough — B1+ — to run a call with a vendor without a script.
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Location: Bengaluru
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team powers every user interaction across Harvey’s legal AI platform, which already processes billions of prompt tokens and millions of daily requests for leading law firms, enterprises, and other high-stakes customers.
We are looking for an Engineering Manager to lead Core Infrastructure from Bengaluru as we scale the platform, the team, and the next generation of Harvey products. This is a high-leverage role for a builder-leader who can grow strong engineers, drive technical execution, and raise the bar on reliability, performance, security, and developer velocity.
This is not a pure operations role. Core Infrastructure at Harvey is responsible for building new systems as well as hardening existing ones, with an emphasis on architecture, scale, and long-term platform leverage rather than reactive firefighting alone.
Harvey is in a build era, not a maintenance era. New product surfaces ship rapidly, and India engineering is expected to play a foundational role in shaping the architecture, culture, and roadmap of Harvey’s next decade.
At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you.
WHY THIS ROLE MATTERS:
Core Backend Infrastructure exists to “deliver core infrastructure that powers our products and teams,” and its current mission is operational excellence at scale. The team serves two critical user groups: external customers who need Harvey to be as reliable as the tools it replaces, and internal product engineering teams who need infrastructure they can build on without firefighting.
The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search, job execution, regional data residency, and multi-cloud scale.
WHAT YOU'LL DO:
- Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship.
- Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations.
- Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it.
- Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code.
- Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling.
- Help the organization scale safely by improving system design quality, hardening critical paths, and pushing durable solutions to reliability bottlenecks before they become customer-facing failures.
- Partner with AI and product teams to support Harvey’s next major product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems.
- Contribute as a hands-on technical leader when needed, especially in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs.
REPRESENTATIVE PROBLEMS YOU MAY LEAD:
- Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution.
- Improving database resilience and recovery so incidents are mitigated quickly and the main database never becomes the bottleneck during critical events.
- Raising site reliability through stronger alerting, failover strategy, autoscaling, and runbooks so customers are never the first to know Harvey is degraded.
- Scaling vector and retrieval infrastructure that underpins document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities.
- Building a multi-region, enterprise-grade platform that meets strict data residency, security, and uptime expectations for global customers.
WHAT WE’RE LOOKING FOR:
- 12+ years of hands-on backend infrastructure or platform engineering experience in production environments
- 5+ years of engineering management experience.
- Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, CI/CD, and infrastructure-as-code tooling such as Terraform or Pulumi.
- A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs.
- Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes.
- Strong people leadership: hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture.
- Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations.
- A systems mindset, bias for simplicity, and the ability to raise standards while keeping teams moving fast.
NICE TO HAVE
- Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability.
- Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers.
- Familiarity with Azure at scale; GCP or AWS experience also transfers well.
- Experience supporting global, follow-the-sun operations or building teams across regions.
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Bangalore
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary
We are seeking a Sr SDE – CI/CD & Developer Productivity Engineering to strengthen engineering delivery pipelines, code quality automation, and developer workflows across the Reltio platform.
This is a hands-on engineering role focused on Bitbucket, Jenkins, and Argo CD; consistent SonarQube quality and security checks in CI and local development; and reliable Codecov-based code coverage reporting and governance. The engineer will improve pipeline speed, stability, maintainability, and the clarity of quality gates across teams.
The ideal candidate has 6–9 years of software engineering, build/release engineering, DevOps, or developer tooling experience and can collaborate with development, QE, DevOps, and security teams in a Kubernetes-based, multi-cloud environment (AWS, Azure, GCP).
Job Duties and Responsibilities
CI/CD Pipeline Engineering
Design, implement, troubleshoot, and optimize CI/CD workflows using Bitbucket, Jenkins, and Argo CD.
Improve pull-request validation, build performance, deployment reliability, pipeline observability, and failure triage.
Build reusable pipeline templates, shared libraries, and automation to standardize engineering workflows across repositories.
Support GitOps-based Kubernetes deployments, environment configuration, release promotion, and safe rollback practices.
Implement secure management of pipeline credentials, permissions, and service integrations.
SonarQube Integration & Code Quality
Integrate SonarQube analysis and quality gates into Bitbucket pull requests and Jenkins pipelines, including branch and PR reporting.
Enable and document developer-local analysis workflows, including scanners, IDE integration, and parity with CI checks.
Maintain quality profiles, rule configurations, exclusions, and quality-gate policies in collaboration with engineering and security.
Troubleshoot analysis failures, false positives, coverage ingestion, and performance bottlenecks; help teams remediate findings.
Ensure policy exceptions follow approved review and audit processes.
Codecov & Coverage Engineering
Integrate Codecov with automated test pipelines and pull-request workflows across relevant repositories.
Configure coverage upload, report aggregation, status checks, thresholds, and meaningful coverage-delta reporting.
Improve reliability and accuracy of coverage data across unit and integration tests, languages, and parallel CI jobs.
Define practical coverage governance and help teams interpret coverage gaps without treating coverage percentage as a substitute for test quality.
Engineering Enablement & Collaboration
Create dashboards and reporting for build health, pipeline duration, quality-gate outcomes, and coverage trends.
Partner with QE, development, DevOps, and security teams to drive adoption, resolve issues, and document standards.
Automate repetitive maintenance and support self-service troubleshooting for developers.
Skills You Must Have
Professional Experience
5–9 years of relevant software engineering, DevOps, build/release engineering, or developer tooling experience.
Hands-on experience owning or significantly improving CI/CD pipelines used by multiple engineering teams.
Experience supporting distributed microservices and containerized workloads.
Technical Skills
Strong hands-on knowledge of Bitbucket Git workflows, pull requests, webhooks, and repository permissions.
Strong Jenkins experience: declarative pipelines, shared libraries, agents, parallel execution, credentials, and troubleshooting.
Practical Argo CD and GitOps experience with Kubernetes deployments, synchronization, drift detection, and rollback.
Hands-on SonarQube administration/integration: scanners, quality gates, quality profiles, PR decoration, and local developer analysis.
Experience integrating Codecov or equivalent coverage reporting with CI, including coverage artifacts, status checks, and coverage thresholds.
Scripting or programming proficiency in Python, Bash, Java, or Groovy; ability to debug build and test tooling.
Working knowledge of Kubernetes, Docker/container builds, Linux, networking, secrets management, and cloud environments (AWS, Azure, GCP).
Understanding of secure SDLC, access control, code quality metrics, and CI/CD security practices.
Skills That Are Nice to Have
Experience with Java/Maven/Gradle-based repositories and multi-module builds.
Experience with SonarQube security rules, Snyk, or other SAST/SCA tools.
Experience tuning large-scale Jenkins infrastructure and optimizing test parallelism or caching.
Experience with Terraform, Helm, Prometheus/Grafana, and deployment observability.
Experience defining developer productivity metrics and enabling self-service engineering platforms.
Strong documentation, collaboration, and cross-team technical communication skills.
What Success Looks Like in This Role
CI/CD pipelines are faster, more reliable, and easier for engineers to diagnose and maintain.
SonarQube checks are consistently enforced in CI and reproducible through supported local developer workflows.
Codecov reporting is accurate, actionable, and integrated into pull-request quality decisions.
Teams have reusable pipeline standards, clear documentation, and reduced manual effort.
Quality and security gates provide trustworthy signals without unnecessary delivery friction.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland
We are looking for a Microsoft Dynamics 365 Developer with experience in Dynamics 365 configuration and customization, plugin development, custom workflow activity development, and system integration. In this role, you will support, modify, and maintain existing solutions while contributing to custom development and data related improvements.
You will contribute to a project that relies on Dynamics 365, D365 CE, and supporting integration and data tools. The work includes custom development, system maintenance, and improvements to connected services and reporting capabilities.
Develop customizations and configurations in Dynamics 365 and D365 CE
Build plugins and custom workflow activities for business requirements
Develop and maintain JavaScript components for CRM solutions
Resolve data issues using SQL queries and SSIS packages with KingswaySoft
Ensure adherence to best practices and coding standards in custom development
Support modify and maintain systems and code developed by other engineering teams
Implement integrations with legacy and modern systems using batch jobs or APIs
Work with service module capabilities in D365 CE including SLA and queue
Contribute to solutions using Power Apps Power BI and Power Automate
Develop and maintain integrations with AWS Snowflake and ECM systems
Work with Azure Synapse Workspace Azure Functions and WebJobs
Experience with Dynamics 365 configuration and customization
Experience with plugin development and custom workflow activities in Dynamics 365
Proficiency in JavaScript for CRM-related development
Proficiency in C# and TypeScript
Proficiency in HTML and CSS
Experience with SSIS and SSIS packages using KingswaySoft
Strong knowledge of SQL queries
Hands-on experience with Power Apps, Power BI, and Power Automate
Experience with API integration with AWS, Snowflake, and ECM
Hands-on experience with Azure Synapse Workspace
Experience with Azure Functions and WebJobs
Good knowledge of the Service module in D365 CE
Experience with SLAs and queues in D365 CE
Ability to understand, support, modify, and maintain systems and code developed by other engineering teams
Location: Seattle, Washington; United States (Remote)
Workplace: Remote
SENIOR ENGINEERING MANAGER, OBSERVABILITY ENGINEERING
Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer's toolbox, and are building the team that will make that happen.
Our values guide us — they are present in how we show up, make decisions, and work together to make an impact. We're curious, driven, collaborative, genuine and humble.
Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!
Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows. Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $550M Series E at a $12.55B valuation, we are building the durable execution layer the agentic era depends on.
Observability is how we and our customers know that layer is holding. This role owns both halves of that problem. Internally, you own the telemetry platform our engineers use to run a multi-tenant service that some of the largest companies in the world rely on. Externally, observability is a product surface. Customers debug their own workflows through what we expose, and the quality of that experience is a key feature of the platform.
We are looking for a leader who has run observability at scale, treats telemetry cost and cardinality as first-class engineering constraints, and has the operational rigor to be accountable for live-site outcomes on a platform where reliability is the product.
RESPONSIBILITIES
- Observability roadmap: Own the team’s technical roadmap and delivery, aligned with broader engineering priorities. Evaluate build, buy, and open-source options, balancing reliability, customer needs, and cost.
- Technical leadership: Lead, hire, and grow a high-ownership team of engineers. Guide technical decisions through design and code reviews. Coach engineers, help them grow, and clear the friction that slows them down.
- Platform ownership: Own the ingestion, storage, query, and visualization path for high-cardinality telemetry across a multi-tenant, multi-cloud fleet. Enable self-serve capabilities to support a growing Engineering organization.
- Operational excellence: Own alerting and incident response tooling end to end. Drive the detection quality, routing, and clear, actionable runbooks that make on-call sustainable, and turn incident reviews into lasting reliability improvements.
- Customer-facing observability: Partner with Product and SDK teams on the telemetry Temporal exposes to customers: metrics, traces, and workflow-level diagnostics. Work directly with design-partner customers and integrate what you learn into the roadmap.
- Cost, capacity & economics: Own the unit economics of observability: cost per ingested series, per query, per namespace. Set cardinality budgets, drive consolidation where tool sprawl has crept in, and negotiate and manage vendor relationships against clear value criteria.
- Partner with Engineering, Product, Security, and Support to resolve competing priorities and deliver shared outcomes. Explain technical tradeoffs and risks clearly to senior leaders and non-specialist partners.
QUALIFICATIONS
- Proven experience leading engineering teams that build and operate observability, monitoring, or telemetry platforms at scale, with strong operational practices.
- Demonstrated success leading engineering teams that build and operate production observability platforms, including hiring, coaching, performance management, and delivery.
- 15+ years in software and/or infrastructure engineering, including 7+ years of people management, with demonstrated ownership of delivery and live-site outcomes.
- Experience hiring, leveling, and performance management.
- Strong distributed-systems expertise with the hands-on judgment to guide architecture and execution rather than guide it from a distance.
- Experience operating multi-tenant infrastructure that other people's production workloads depend on.
- Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus.
- Excellent communication skills, with the ability to partner across engineering, product, and leadership and translate customer feedback into a roadmap.
REQUIRED SKILLS
- Strong leadership and coaching; ability to grow engineers and build a healthy, accountable, high-ownership team, including through reorgs, acquisitions, or platform migrations.
- Set priorities and deliver incremental improvements with incomplete information. Make tradeoffs explicit and adapt plans as customer and operational needs change.
- Command of the observability building blocks — metrics, logs, traces, profiling, and alerting and the tradeoffs between them at scale.
- Time-series and telemetry data fundamentals: cardinality control, retention and downsampling, query performance, and hot/cold storage tiering.
- Live-site reliability craft: SLA/SLO definition, on-call, incident management, and postmortem-driven continuous improvement.
- Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase.
PREFERRED EXPERIENCE
- Applying AI/LLM techniques to triage, anomaly detection, or incident summarization, with clear-eyed judgment about where they help and where they don't.
- OpenTelemetry at depth: collector architecture, semantic conventions, instrumentation strategy.
- The open-source observability stack in production: Prometheus, Mimir/Thanos/Cortex, Grafana, Loki, Tempo, ClickHouse.
- Building observability as a product for external developers, not only as internal tooling.
- Kubernetes internals and multi-cloud delivery across AWS, GCP, and Azure.
- Vendor consolidation or migration programs (commercial APM/SaaS to open-source, or the reverse) with measurable cost and reliability outcomes.
- Developer experience or engineering productivity backgrounds - treating internal engineers as customers with a measurable experience.
- Prior experience at a developer infrastructure or open-source-based company, where the community is part of the feedback loop.
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: Redwood City, CA
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box Shield
is an add-on security layer that protects the flow of information and reduces content-centric risk without adding friction. It uses classification-based controls to prevent data loss and AI-powered, context-aware alerts to detect malware, compromised accounts, and malicious behavior at scale.
Shield’s mission is to secure enterprise content while delivering a seamless user experience, ensuring Box remains the platform of choice for secure Intelligent Content Management. Shield keeps customer content safe by surfacing malware, compromised accounts, and anomalous behavior early, giving administrators the context they need to take proactive action before incidents escalate.
The Shield team is hiring Machine Learning engineers to build and scale ML systems that safeguard millions of users and billions of files from ransomware, data exfiltration, insider threats, and emerging AI-based attacks. As part of a fast-paced backend/core team, you’ll collaborate across Box to ship future-proof security capabilities for high-demand use cases.
WHAT YOU'LL DO
Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics
Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, and Vertex AI
Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems
Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale
Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
Must Have Experience
3+ years of experience in applied machine learning
Strong programming skills in Python
Deployed and maintained ML models serving real traffic
Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML)
Deep understanding of feature engineering, model evaluation, and MLOps
Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders
Nice To Have Experience
Experience in security/threat detection, anomaly detection, or fraud detection
Experience with sequential data, anomaly detection, or behavioral modeling (time-series forecasting, LSTM, Transformers, or similar)
Knowledge of LLMs and AI safety (prompt injection, guardrails, red-teaming)
Experience with streaming/real-time ML systems
Familiarity with Java for service integrations
Publications or contributions in ML security
Tech Stack You’ll Work With
Languages: Python, Scala, Java
ML/Data: Apache Spark, Vertex AI, BigQuery, TensorFlow/PyTorch
Infrastructure: GCP, Kubernetes
Domains: User Behavior Analytics, Time-Series Anomaly Detection, AI Security, Content classification, Ransomware Detection
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$175,500
—
$219,500 USD
Location: Brazil
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
Location: Mexico
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
Location: United States
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
Equal Employment Opportunity
Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.
We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.
For information about Alvys's privacy practices, see our
Privacy Policy
.
Location: San Francisco, CA; San Jose, 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.
_______________________________________________________________________
THE ROLE
Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.
As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.
The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities.
_______________________________________________________________________
RESPONSIBILITIES
Build in Production with Customers
- Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary.
- Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress.
- Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling.
- Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it.
Make AI Adoption Safe and Governable
- Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production.
- Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience.
- Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds
- Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control.
Partner with Solutions Architecture and the Field
- Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary.
- Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns.
- Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption.
Close the Loop with Product and Engineering
- As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services.
- Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t.
- Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap.
Shape the Practice
- Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners.
- Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team.
- Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services.
- Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns.
- 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
- 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience.
- Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence.
- Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews.
- Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals.
- Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior.
- Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD.
- Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP).
- Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality.
- Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority.
- Proven track record of technical mentorship and of raising the bar for the engineers around you.
- High agency and comfort operating autonomously in distributed, remote-first teams.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Travel to customer sites to build in person with customer teams, estimated at up to 50%.
Bonus
- Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner.
- Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings.
- Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors.
- Contributions to open source projects in the container, Kubernetes, or MCP ecosystems.
- Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $198K – $319K base
______________________________________________________________________
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: Colorado Springs, Colorado, United States
About the Role
iCapital is seeking an Application Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems.
Responsibilities
Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company.
Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform.
Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions.
Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability.
Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture.
Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance.
Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency.
Participate in production support rotations and provide timely resolution of production issues impacting customers.
Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives.
Collaborate with distributed engineering teams across North America and India to ensure architectural consistency and delivery alignment.
Mentor engineers in .NET, Azure, DevOps, cloud-native design patterns, and software architecture principles.
Identify opportunities to improve platform observability, performance, security, reliability, and development efficiency.
Qualifications
7+ years of experience in software engineering, application architecture, or solution architecture roles
Bachelor's degree in computer science, software engineering, or a related technical discipline
Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies
Strong experience architecting cloud-native solutions within Microsoft Azure environments
Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures
Strong understanding of software design patterns, architecture frameworks, and engineering best practices
Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions
Proven ability to develop technical roadmaps and lead large-scale modernization efforts
Experience participating in production support and incident management processes
Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices
Strong communication and stakeholder management skills with the ability to influence technical and business leaders
Experience working in Agile software development environments and supporting Scrum teams
Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms
Experience supporting customer-facing enterprise SaaS products
Azure certifications or demonstrated expertise in Azure architecture and cloud engineering
Experience leading geographically distributed engineering organizations
Benefits
The base salary range for this role is $100,000 to $135,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
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: Salt Lake City, Utah, United States
About the Role
iCapital is seeking a .NET Application/Solutions Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems.
Responsibilities
Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company.
Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform.
Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions.
Champion AI-first development across the engineering org using Copilot, Claude, Cursor and other tools
Drive and build agentic customer facing applications providing real-time recommendations, decision support, and interactive help, using Azure Foundry, Open AI and other agentic development platforms. You are familiar with orchestration, RAG, retrieval grounding, MCP server design, etc.
Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability.
Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture.
Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance.
Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency.
Participate in production support rotations and provide timely resolution of production issues impacting customers.
Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives.
Qualifications
7+ years of experience in software engineering, application architecture, or solution architecture roles
Bachelor's degree in computer science, software engineering, or a related technical discipline
Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies
Strong experience architecting cloud-native solutions within Microsoft Azure environments
Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures
Strong understanding of software design patterns, architecture frameworks, and engineering best practices
Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions
Proven ability to develop technical roadmaps and lead large-scale modernization efforts
Experience participating in production support and incident management processes
Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices
Strong communication and stakeholder management skills with the ability to influence technical and business leaders
Experience working in Agile software development environments and supporting Scrum teams
Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms
Experience supporting customer-facing enterprise SaaS products
Azure certifications or demonstrated expertise in Azure architecture and cloud engineering
Experience leading geographically distributed engineering organizations
Benefits
The base salary range for this role is $110,000 to $135,000 USD. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
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 Wide - Excluding Quebec
Workplace: Hybrid
Safe Software is looking for a fun-loving, talented DevOps Engineer who is interested in becoming part of one of the fastest growing data integration companies in the world! As a DevOps Engineer on our Public Cloud DevOps team, you will help enable our teams to develop our Cloud applications at a great velocity by providing a secure, reliable, and robust infrastructure. We have an immediate opening and are excited to find the right candidate to join our team.
ABOUT THE TEAM
On the Public Cloud DevOps team, we value providing high uptime for our services and highly efficient systems. We are responsible for architecting and maintaining a number of powerful infrastructure tools and pipelines that powers our Cloud applications, as well as maintaining many complex systems such as our CI/CD systems, Kubernetes clusters, internal developer tools, and the many automated services that maximize the efficiency of our developers. Ultimately, we enable our teams to develop and deploy our Cloud applications to a secure, reliable, and robust infrastructure.
WHAT YOU'LL BE DOING
As a DevOps II at Safe Software, you will be contributing to the maintenance of infrastructure and pipelines that enable the development, testing, and delivery of our Cloud applications. This includes, but not limited to…
- Monitoring and Updating Infrastructure. Using “infrastructure as code” principles, we continuously monitor and improve our infrastructure that supports our applications.C
- Cloud Optimization. On the DevOps team, we take pride in being able to explore and incorporate new industry technologies into our processes. We strive to ensure that our AWS usage costs do not grow unnecessarily, using monitoring to make cost-saving enhancements to our systems.
- Analyzing and Improving CI/CD Pipelines. Our CI/CD pipelines are very important for our developers, so we want to continuously improve our pipelines to provide faster feedback.
- Scripting and Automations. As engineers, we pride ourselves on speed and efficiency. We need to make sure our pipelines are automated with scripts to allow repetition.
DAY TO DAY RESPONSIBILITIES
- Fixing defects or adding new capabilities to our Cloud infrastructure
- Developing and maintaining software tools that aid our development teams.
- Practicing Kanban style Agile Development with Jira
- Researching and Learning new tools and technologies
- Reviewing and updating automation pipelines via Jenkins or GitHub Actions
- Participate in team meetings to provide updates and report newly-identified issues
- Finding, analyzing, and remediating infrastructure related security issues
QUALIFICATIONS, SKILLS AND COMPETENCIES
- A Bachelor's degree in Computer Science, Computer Engineering or a related field, or an equivalent combination of education and related experience.
- 2-3 years of DevOps and Platform Engineering or related work experience
- Knowledge or experience with Docker and or Kubernetes.
- Knowledge or experience with Cloud Platforms: Amazon AWS, Google Cloud Platform, Microsoft Azure.
- You are familiar with scripting languages such as Python, Powershell and/or Bash
- You have a working knowledge of databases and SQL.
- You are self-motivated and proactive, with a strong desire to learn new tools and the latest technologies.
- Excellent written and verbal communication skills.
- Excellent planning, organizational and time management skills.
- Thrive in a fast-paced and dynamic environment – you are not afraid of fast-paced change!
- You are a critical thinker with a curious mind and a love for problem solving.
- You embrace working in a team-oriented environment, and have a passion for helping others.
BONUS POINTS
- Experience with CI/CD Tools or Platforms (e.g. Jenkins, GitHub Actions)
- Experience with Kanban or other Agile methodologies.
- Experience with different operating systems (e.g. MacOS, Ubuntu).
- Experience with popular IDEs. (e.g. Visual Studio, VSCode)
- Experience with A.I. Coding Agents. (e.g. Claude Code, GitHub Copilot)
ABOUT SAFE SOFTWARE
Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity.
With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads.
Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team?
OUR COMMITMENT TO DIVERSITY AND INCLUSION
Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion.
We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status.
Should you require accommodations during the recruitment process, please contact hr_dept@safe.com.
NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING
At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role.
Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
As a Member of Technical Staff, Finance Data, you’ll lead the design of the Financial Data Platform that Finance, Accounting, and Revenue Operations rely on to close the books, report revenue, and forecast. You’ll build auditable pipelines on Kafka, ClickHouse, Tinybird, and Snowflake that turn raw usage into revenue, and set the bar for data accuracy and governance where correctness isn’t optional. Your main focus is a multi-phase roadmap that takes the platform to maturity and audit readiness as the business grows. This is a hybrid role with 3 in-office days per week in San Francisco or New York City.
What you'll do:
Design and build the data platform behind revenue recognition, consumption-based billing, and financial reporting, across batch and real-time workloads
Set standards for financial data ingestion, transformation, and storage, with auditability, lineage, and data integrity
Work with FP&A, Accounting, and RevOps to turn reporting requirements, close-cycle timelines, and forecasting needs into architecture
Partner with Security, Compliance, Legal, and Internal Audit to meet SOX and SOC 2 requirements, backed by monitoring, alerting, and incident response
Set the technical roadmap, make build-vs-buy calls on ERP, billing, and revenue tools, and mentor engineers as the team grows
What you need:
8+ years of experience in data engineering, analytics engineering, or a closely related field
Owned production data pipelines end-to-end on AWS, GCP, or Azure
Production experience with Kafka, ClickHouse, Tinybird, and Snowflake
Built data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing
Supported audit, SOX, or SOC 2 requirements for data systems
Translated Finance or Accounting requirements into technical architecture
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: India; Bangalore; Delhi
Workplace: Remote
We are currently growing our support team at ClickHouse who provides excellent service to our customers around the world. We are seeking a Senior Technical Support Engineer to join our global Support Engineering team. We hope to find you ready to take on a large variety of tasks related to our customers locally in India as well as more regionally across APJ and EMEA. This is a customer-facing role that will include customer interactions via chat, calls, Slack messages, and virtual meetings over video. You will be owning a wide variety of tasks: from triaging support tickets to user community support, helping with both pre- and post- sales customer activities, partnering with our Go To Market team with deeply technical aspects of POCs, and suggesting improvements to how we do things in Support at ClickHouse. This is a great opportunity for someone ready to roll-up their sleeves and help us expand our regional presence in India!
WHAT YOU WILL BE DOING:
- Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings
- Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training
- Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers
- Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers
AND OF COURSE:
- You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone
- You will build strong, trusted relationships with colleagues, customers, and partners
WHAT YOU BRING ALONG:
- Technical breadth and depth in ClickHouse open-source or Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems, Kubernetes, Docker
- Previous technical experience in roles such as Support Engineer, Technical Account Manager, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer
- Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment
- Strong written and verbal English communication skills and the ability to work fully remote with reliable connectivity
- A mindset of teamwork, global engagement, empathy, and solving challenging problems
- A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet
- The ability to build trusted relationships with colleagues, customers, and partners
- You are self-driven, curious, and eager to continuously learn and grow
BONUS POINTS:
- Experience with ClickHouse
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with Azure, GCP or AWS
- Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others
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.
ГибридBengaluru
seniorBangalore
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УдалённоseniorSeattle, Washington; United States (Remote)
США; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
Brazil
Mexico
United States
УдалённоSan Francisco, CA; San Jose, CA; Seattle, WA
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