Location: Remote (Peru)
Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies,
and we’re now part of Livefront
. We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks.
We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future.
We’re looking for an outstanding Quality Assurance Engineer to join our team. This role is available across our primary LATAM hub in Peru.
Who you are
You are a pragmatic, detail-oriented quality engineer who enjoys ensuring that complex software systems work reliably for the people who use them. You bring strong experience with both manual and automated testing, communicate clearly with clients and technical peers, and adapt easily across industries, applications, and technical stacks. You understand that quality is a shared responsibility and enjoy collaborating closely with engineers, product teams, and clients throughout the software development lifecycle. You are curious about new tools—including AI tools that improve your productivity and the effectiveness of your testing.
What you will be doing
Work directly with clients to understand business requirements, identify quality risks, and develop effective testing strategies.
Design, execute, and maintain comprehensive manual test plans, test cases, and test scenarios across web, mobile, API, and integrated software systems.
Develop and maintain automated test suites using modern testing tools and frameworks, including:
Selenium, Playwright, Cypress, Appium, or similar automation technologies;
API testing tools and frameworks such as Postman, REST Assured, or similar.
Perform functional, regression, integration, end-to-end, exploratory, and acceptance testing throughout the software development lifecycle.
Identify, document, prioritize, and communicate software defects clearly, partnering with engineers to investigate root causes and validate fixes.
Build scalable automation approaches that improve test coverage, shorten feedback cycles, and reduce repetitive manual testing.
Integrate automated testing into CI/CD pipelines using industry-standard tooling such as GitHub Actions, Jenkins, Azure DevOps, or similar platforms.
Validate APIs, data integrations, and backend systems using appropriate testing strategies and tools.
Collaborate with software engineers, product managers, designers, and client stakeholders to establish acceptance criteria and advocate for quality throughout the development process.
Gain experience across multiple clients and industries, adapting testing strategies to different technical and business environments.
Build trust with clients and internal teams through strong communication, problem-solving, attention to detail, and execution.
Why you should apply
You want to work with passionate, talented people who are always looking for ways to make things better.
You value a work environment where kindness, mutual trust, and egoless collaboration are paramount.
You have a history of keeping promises, doing what is right, and spending energy on what matters.
You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks.
You want to work on projects that have outsized impact and reach.
You believe in sweating the details, committing to quality, and taking pride in going the extra mile.
What you bring to the table
We expect candidates to demonstrate a solid foundation in software quality assurance, hands-on experience with both manual and automated testing, and a keen interest in consulting.
Quality Engineering:
Strong experience designing and executing manual testing strategies, including functional, regression, integration, exploratory, and end-to-end testing.
Test Automation:
Hands-on experience developing and maintaining automated tests using Selenium, Playwright, Cypress, Appium, or comparable tools and frameworks.
Technical Skills:
Experience testing APIs and integrated systems and working with technologies such as REST APIs, SQL, Git, and CI/CD pipelines. Familiarity with at least one programming or scripting language such as JavaScript, TypeScript, Java, Python, or C#.
Quality Mindset:
Proven ability to identify risks, investigate defects, troubleshoot complex issues, and determine the appropriate balance between manual and automated testing.
Communication:
Excellent verbal and written communication skills and the ability to clearly communicate quality risks, defects, and recommendations to both technical and non-technical stakeholders.
Problem-Solving:
Proven ability to analyze complex systems and requirements and develop practical, effective approaches to ensuring software quality.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.
УдалённоRemote (Peru); We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind
Location: Remote (Peru)
Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies,
and we’re now part of Livefront
. We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks.
We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future.
We’re looking for an outstanding Java Engineer to join our team. This role is available across our primary LATAM hub in Peru.
Who you are
You are a pragmatic problem-solver who enjoys turning complex business challenges into effective, high-quality technology solutions. You communicate clearly with both clients and technical peers, you adapt easily across industries and technical stacks, and you have a keen interest in consulting. You are curious about new tools—including AI tools that improve your productivity.
What you will be doing
Work directly with clients to analyze business problems and implement technology solutions.
Develop software, design solutions, and collaborate with senior consultants to deliver high-quality outcomes.
Learn and apply best practices in software engineering, cloud technologies, and system architecture.
Gain experience across multiple clients and industries, adapting to different technical and business environments.
Build trust with clients and internal teams through strong communication, problem-solving, and execution.
Execute custom software development, primarily utilizing established languages and frameworks, including:
C#, Entity Framework, ASP.NET, Java, Spring Boot, and Python;
JavaScript, TypeScript, React, Angular, Next.js, .NET MAUI, Flutter, and Xamarin.
Implement automated verification protocols for software systems to ensure operational integrity.
Design and enhance CI/CD pipelines, incorporating comprehensive deployment and observability solutions through industry-standard tooling, such as:
TerraForm, Azure Bicep, AWS CloudFormation, GitHub Actions, and Jenkins;
Dynatrace, New Relic, Jaeger, Grafana, Prometheus, and Azure Monitor.
Develop and maintain robust data pipelines and sophisticated analytics platforms utilizing:
SQL Server, PostgreSQL, Oracle, MongoDB, Kafka, Databricks, Snowflake, dbt, Apache Airflow, Azure Data Factory, Power BI, and Google Looker.
Why you should apply
You want to work with passionate, talented people who are always looking for ways to make things better.
You value a work environment where kindness, mutual trust, and egoless collaboration are paramount.
You have a history of keeping promises, doing what is right, and spending energy on what matters.
You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks.
You want to work on projects that have outsized impact and reach.
You believe in sweating the details, committing to quality, and taking pride in going the extra mile.
What you bring to the table
We expect candidates to demonstrate a solid foundation in software development and a keen interest in consulting.
Technical Skills:
Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript, C#).
Communication:
Excellent verbal and written communication skills.
Problem-Solving:
Proven ability to analyze complex problems and propose practical solutions.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.
Location: Remote (Peru)
Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies,
and we’re now part of Livefront
. We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks.
We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future.
We’re looking for an outstanding C# / .NET Engineer to join our team. This role is available across our primary LATAM hub in Peru.
Who you are
You are a pragmatic problem-solver who enjoys turning complex business challenges into effective, high-quality technology solutions. You communicate clearly with both clients and technical peers, you adapt easily across industries and technical stacks, and you have a keen interest in consulting. You are curious about new tools—including AI tools that improve your productivity.
What you will be doing
Work directly with clients to analyze business problems and implement technology solutions.
Develop software, design solutions, and collaborate with senior consultants to deliver high-quality outcomes.
Learn and apply best practices in software engineering, cloud technologies, and system architecture.
Gain experience across multiple clients and industries, adapting to different technical and business environments.
Build trust with clients and internal teams through strong communication, problem-solving, and execution.
Execute custom software development, primarily utilizing established languages and frameworks, including:
C#, Entity Framework, ASP.NET, Java, Spring Boot, and Python;
JavaScript, TypeScript, React, Angular, Next.js, .NET MAUI, Flutter, and Xamarin.
Implement automated verification protocols for software systems to ensure operational integrity.
Design and enhance CI/CD pipelines, incorporating comprehensive deployment and observability solutions through industry-standard tooling, such as:
Terraform, Azure Bicep, AWS CloudFormation, GitHub Actions, and Jenkins;
Dynatrace, New Relic, Jaeger, Grafana, Prometheus, and Azure Monitor.
Develop and maintain robust data pipelines and sophisticated analytics platforms utilizing:
SQL Server, PostgreSQL, Oracle, MongoDB, Kafka, Databricks, Snowflake, dbt, Apache Airflow, Azure Data Factory, Power BI, and Google Looker.
Why you should apply
You want to work with passionate, talented people who are always looking for ways to make things better.
You value a work environment where kindness, mutual trust, and egoless collaboration are paramount.
You have a history of keeping promises, doing what is right, and spending energy on what matters.
You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks.
You want to work on projects that have outsized impact and reach.
You believe in sweating the details, committing to quality, and taking pride in going the extra mile.
What you bring to the table
We expect candidates to demonstrate a solid foundation in software development and a keen interest in consulting.
Technical Skills:
Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript, C#).
Communication:
Excellent verbal and written communication skills.
Problem-Solving:
Proven ability to analyze complex problems and propose practical solutions.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.
Location: Remote (Peru)
Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies,
and we’re now part of Livefront
. We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks.
We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future.
We’re looking for an outstanding Project Manager to join our team. This role is available across our primary LATAM hub in Peru.
Who you are
You are an organized, communicative leader who keeps projects on track and stakeholders aligned. You are comfortable navigating ambiguity, managing competing priorities, and building trust with clients and delivery teams alike. You take pride in clear communication, thoughtful planning, and delivering outcomes that meet real business needs. You are curious about new tools—including AI tools that improve your productivity—and you thrive in a consulting environment where clients and priorities shift.
What you will be doing
Plan, coordinate, and drive delivery of technology projects from kickoff through close.
Define scope, timelines, milestones, and budgets in partnership with clients and delivery teams.
Manage risks, dependencies, and change, and keep stakeholders informed.
Facilitate agile ceremonies (standups, planning, retrospectives) as appropriate.
Serve as the primary point of contact for clients throughout the engagement.
Track progress, remove blockers, and report status to leadership and clients.
Ensure quality delivery that stays aligned with business goals.
Why you should apply
You want to work with passionate, talented people who are always looking for ways to make things better.
You value a work environment where kindness, mutual trust, and egoless collaboration are paramount.
You have a history of keeping promises, doing what is right, and spending energy on what matters.
You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks.
You want to work on projects that have outsized impact and reach.
You believe in sweating the details, committing to quality, and taking pride in going the extra mile.
What you bring to the table
Proven experience managing software or technology projects end to end.
Strong understanding of project management methodologies (Agile/Scrum, Waterfall).
Excellent communication, facilitation, and stakeholder-management skills.
Demonstrated ability to manage scope, schedule, budget, and risk.
Comfort working in a client-facing consulting environment.
The ability to use AI tools to improve productivity.
Bonus points if you…
PMP, CSM, or an equivalent certification.
A technical background or experience managing engineering teams.
Experience with project management tooling (Jira, Azure DevOps, Asana, etc.).
Experience delivering projects across multiple industries.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any writing or recorded speaking you have done about topics related to project or product management and/or business strategy (if applicable). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview and a series of video interviews.
Additional information
We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation.
You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams.
Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data
Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes
What you’ll do
Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation.
Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track.
Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules.
Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments.
Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps.
Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient.
Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent.
Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience delivering customer-facing migration, installation, training, or technical advisory engagements.
Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows.
Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef.
Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues.
Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity.
Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby.
Ability to independently lead multiple customer projects, communicate clearly in written and spoken English, and build agreement in a remote, largely asynchronous environment.
PubSec/Federal experience a plus.
A solution-oriented approach, effective cross-functional collaboration, and a commitment to GitLab's values. Experience with GitLab Geo and replication is helpful, but deep expertise can be developed in the role.
About the team
Migration Engineers are part of GitLab's Dedicated Infrastructure organization. We work with Sales, Professional Services, Environment Automation, Product, and Engineering to coordinate delivery, resolve customer needs, and share field feedback that improves GitLab features and delivery practices. We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$126,400
—
$213,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack.
Our Solutions Architects own the
technical delivery
of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward.
We're looking for a
Manager, ML Solutions Architecture
to lead our EU regional SA teams. Your scope is
PoC delivery and post-sales technical support
: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region.
We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three.
You're welcome to work remotely from
any EU country.
Your responsibilities will include:
Lead the team
Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans
Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest
Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do
Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions
Onboard new joiners through to their first independently delivered engagement
Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope
Own delivery
Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production
Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it
Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries
Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today
Own the operating system of the team
Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy
Get it
used
, not just written: documentation nobody reads is a cost, not an asset
Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone
Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time
Work across teams
Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions
Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream
Account management: make production handoffs uneventful, and keep post-sales technical requests moving
Business and leadership: give a straight read on account health, technical feasibility, and capacity needs
We expect you to have:
3+ years managing technical teams, including performance management and difficult conversations
Experience managing a customer-facing team.
Running a team whose work is visible to customers, on customer timelines, with customer escalations.
Strong ML knowledge:
LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM)
Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion
Python strong enough to read and review your team's code
Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure
Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick
Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
It would be an added bonus if you have:
References from both former managers and former direct reports
Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality
Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider
Experience defining process and documentation for a team that had none
Hands-on background running LLMs in production and debugging inference workloads at the framework level
Work with multimodal AI models (vision-language, speech)
Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code
Preferred technical stack:
Programming languages:
Python
ML frameworks and libraries:
vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs
MLOps and DevOps tools:
Kubernetes (K8s), Docker, Git
Cloud platforms:
AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack.
Our Solutions Architects own the
technical delivery
of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward.
We're looking for a
Manager, ML Solutions Architecture
to lead our US regional
SA
teams. Your scope is
PoC delivery and post-sales technical support
: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region.
We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three.
You're welcome to work remotely from
the United States.
Your responsibilities will include:
Lead the team
Manage a team of 4 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans
Build an accurate picture of each
SA
's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest
Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do
Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions
Onboard new joiners through to their first independently delivered engagement
Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope
Own delivery
Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production
Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it
Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries
Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today
Own the operating system of the team
Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy
Get it
used
, not just written: documentation nobody reads is a cost, not an asset
Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone
Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time
Work across teams
Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions
Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream
Account management: make production handoffs uneventful, and keep post-sales technical requests moving
Business and leadership: give a straight read on account health, technical feasibility, and capacity needs
We expect you to have:
3+ years managing technical teams, including performance management and difficult conversations
Experience managing a customer-facing team.
Running a team whose work is visible to customers, on customer timelines, with customer escalations.
Strong ML knowledge:
LLM architectures, fine-tuning approaches (
SFT
/
LoRA
,
RL
-based), evaluation design, and a working command of inference internals — quantization,
KV
-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM)
Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion
Python strong enough to read and review your team's code
Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure
Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick
Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
It would be an added bonus if you have:
References from both former managers and former direct reports
Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality
Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider
Experience defining process and documentation for a team that had none
Hands-on background running LLMs in production and debugging inference workloads at the framework level
Work with multimodal AI models (vision-language, speech)
Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code
Preferred technical stack:
Programming languages:
Python
ML frameworks and libraries:
vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs
MLOps and DevOps tools:
Kubernetes (K8s), Docker, Git
Cloud platforms:
AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$228,000
—
$285,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Serbia
Job Title:
AI/ML Engineer
Department:
IT Services /IT Infrastructure
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: Romania
Job Title:
AI/ML Engineer
Department:
IT Services
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: India
Job Title:
AI/ML Engineer
Department:
IT Services
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: Poland
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: Romania
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: India
Role Overview
We are building a high-performance, multi-tenant OpenShift cluster on bare metal in our AI-optimized data center. Our goal is to offer
OpenShift as a Service
to private AI-focused clients who wish to host their compute-intensive workloads in a scalable, secure, and isolated environment.
We’re looking for a hands-on
Red Hat OpenShift Engineer
who can
design, architect, and implement this platform from scratch
using industry best practices. Once the cluster is built, this role will also lead the
migration of existing on-prem and Azure workloads to the new OpenShift environment
.
Key Responsibilities
Design, architect, and build
a multi-tenant OpenShift cluster on bare metal
Configure and maintain all aspects of the OpenShift platform for high availability, scalability, and security
Define and implement
networking, storage, ingress, monitoring, and logging
Develop detailed
architecture documents, blueprints, and SOPs
Lead and execute
migration of existing workloads
from on-premise and Azure environments to OpenShift
Ensure smooth onboarding for multiple AI-focused client tenants with isolated environments
Support DevOps team with
advanced Linux/OpenShift troubleshooting
Implement and enforce
RBAC, tenant isolation, resource quotas
, and compliance controls
Optimize performance for AI-heavy workloads running on GPU-enabled infrastructure
Own operational stability, platform upgrades, and monitoring
Required Skills & Experience
5+ years
of deep hands-on experience with Red Hat OpenShift and Kubernetes
Proven experience designing, building, and managing
bare metal OpenShift clusters
Solid understanding of
Linux internals
, container runtimes, networking, and troubleshooting
Experience with
application migration
from both
on-premise
and Azure environments into OpenShift
Strong experience with
multi-tenancy architecture
, including workload isolation and security
Familiarity with storage (CSI), networking (CNI), and service mesh implementations
Proficiency in
monitoring and observability tools
(e.g., Prometheus, Grafana, ELK)
Experience with
Infrastructure as Code
(Ansible, Terraform) and CI/CD automation
Strong documentation and communication skills
Certifications (Required)
Red Hat Certified Specialist in OpenShift Administration
Red Hat Certified Engineer (RHCE)
or equivalent Linux certification
Nice to Have
Familiarity with AI/ML compute environments (e.g., GPU workloads, NVIDIA operators)
Experience with hybrid cloud or edge computing models
Exposure to enterprise-grade security, compliance, and policy enforcement
Location: Serbia
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers.
What you'll do
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
Are proficient in Python, Go, Rust, or similar systems languages
Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United Kingdom; Poland; Germany; Romania; Netherlands; Spain
Location:
Europe (100% Remote)
Contract Type:
Advisory / Project-Based
About Us
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking an
Agentforce AI Maestro
to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe.
Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position.
A. Agentforce Architecture & System Design
Solution Architecture:
Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome).
Core Agent Engineering:
Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions.
Deterministic Logic Integration:
Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth.
B. Agentic AI & LLM Engineering
Orchestration & Tooling:
Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering.
Architectural Trade-offs:
Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations.
C. Enterprise Data & System Integration
Grounding & RAG:
Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries.
System Interoperability:
Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards.
D. Testing, Security & Strategic Advisory
Testing & Quality Assurance:
Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center.
Security & Guardrails:
Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths.
Client & Team Leadership:
Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams.
Requirements
Experience:
5+ years of hands-on Salesforce engineering and architecture experience.
Agentforce Track Record:
At least 2 meaningful production or advanced pre-production Agentforce implementations.
Location:
Based in Europe with strong alignment with European enterprise hours.
Core Tech Stack:
Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines.
AI Competency:
Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks.
Preferred Certifications & Qualifications
Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications.
Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP.
Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)
Location: Dammam, Saudi Arabia
The Enterprise Computing & Cloud Architect is responsible for defining and governing the enterprise architecture for computing and infrastructure platforms across on-premises environments, private cloud, public cloud, and High-Performance Computing (HPC) and AI infrastructure.
Key Responsibilities
Own and maintain the enterprise architecture for computing platforms across on-premises, private cloud, public cloud, HPC, and AI environments.
Define enterprise target architectures, reference architectures, technology standards, principles, and design patterns for computing and cloud platforms.
Develop and maintain strategic technology roadmaps aligned with business objectives, enterprise architecture strategy, and emerging technology trends.
Provide architecture leadership and assurance for major programs, transformation initiatives, and complex technology solutions.
Evaluate and recommend infrastructure, cloud, computing, virtualization, containerization, HPC, and AI technologies based on enterprise requirements.
Establish architectural principles and standards covering scalability, availability, performance, security, resilience, interoperability, and cost optimization.
Ensure alignment between solution architectures and the enterprise architecture, technology standards, and strategic direction.
Lead architecture reviews and provide technical governance throughout the solution lifecycle.
Assess current-state environments and develop transition architectures and migration strategies toward the target state.
Define cloud adoption, hybrid cloud, workload placement, and infrastructure modernization strategies.
Collaborate with cybersecurity, data, applications, networking, operations, and other architecture domains to ensure integrated enterprise solutions.
Provide architectural guidance for high-performance and AI computing platforms, including compute capacity, acceleration technologies, scalability, and integration requirements.
Assess technology risks, technical debt, architectural dependencies, and opportunities for modernization.
Required Qualifications & Experience
Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or a related discipline.
Master’s degree in a relevant field is preferred.
10+ years of experience in technology, infrastructure, cloud, or enterprise architecture
, with significant experience in large-scale enterprise environments.
Demonstrated experience designing and governing complex computing and infrastructure platforms.
Strong experience across on-premises infrastructure and public/private cloud environments.
Experience with HPC and/or AI infrastructure architecture is highly desirable.
Strong understanding of cloud architecture, virtualization, containers, compute platforms, storage, networking, and infrastructure automation.
Experience developing enterprise architecture standards, reference architectures, technology roadmaps, and governance frameworks.
Proven experience providing architectural assurance for major programs and complex technology implementations.
Strong understanding of security, resilience, availability, scalability, performance, and infrastructure cost optimization principles.
Excellent stakeholder management, communication, analytical, and problem-solving skills.
Preferred Certifications
Relevant architecture, cloud, or technology certifications such as:
TOGAF or equivalent enterprise architecture certification.
AWS, Microsoft Azure, or Google Cloud architecture certifications.
Relevant VMware, Kubernetes, HPC, AI infrastructure, or other specialist technology certifications.
Key Competencies
Enterprise & Technology Architecture
Cloud & Hybrid Cloud Architecture
Computing & Infrastructure Architecture
HPC & AI Infrastructure
Architecture Governance & Assurance
Technology Strategy & Roadmapping
Solution Evaluation & Design
Technology Risk Management
Stakeholder & Vendor Management
Strategic Thinking and Innovation
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran + dbt is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a high-performance, experienced hands-on technical program manager(TPM) in the security domain to be part of an Engineering team. In this role, you will be responsible for leading and managing security-related initiatives across the organization. It involves collaborating with cross-functional teams to ensure the successful planning, execution, and delivery of security programs. The TPM will act as a bridge between technical teams and business stakeholders, ensuring alignment with organizational goals while mitigating security risks.
The work is very diverse. Fivetran is a multi-cloud environment operating on AWS, GCP, and Azure. You will help select security tools, implement improvements within our environments, and assist in developing new processes to increase our security posture.
This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Bash, Python, JS, BigQuery, Looker, Sigma, Azure, AWS, GCP, Terraform, Docker, Kubernetes, Github, Buildkite, SonarQube, Grafana, Prisma, Synk, Signal Sciences, AI Tools
What You’ll Do
This is the primary person in engineering responsible for executing the security vulnerability management program for engineering, including infrastructure, code, and dependency vulnerabilities.
Collaborate with Security and Engineering teams to ensure vulnerabilities are identified, prioritized, and patched. Provide technical oversight and accountability to ensure the effective delivery of security fixes.
Enhance processes by evaluating tools, recommending improvements, and driving automation for faster resolution.
Usage of AI in defining the roadmap for a proactive security approach based on risk assessment/rating
Running the Dependency management and image hardening programs
Using AI to contribute to the remediation of code and infrastructure vulnerabilities
Establish and lead a code scanning program in collaboration with infrastructure, engineering, and security teams to ensure seamless integration and sustainable security practices.
Dedicate up to 20% of the time to assessing business systems to identify vulnerabilities and compliance gaps proactively. Develop a scanning and detection plan and establish policies and standards for internal data access tools to improve overall system security.
Advocate for tools and solutions that support shift-left strategies, driving early integration of security and testing in the development lifecycle.
Skills We’re Looking For
Over 5 years of experience in technical program management with a strong focus on security engineering, vulnerability management, cloud security, and application security.
Proficient in applying program management methodologies, tools, and best practices to deliver complex security initiatives.
Exceptional skills in prioritization, organization, and multitasking to manage multiple programs effectively.
Proven ability to work collaboratively with cross-functional teams, including product teams, SRE/QE engineers, and developers, to embed a security-first mindset into workflows and practices.
Deep understanding of key security domains, including application/infrastructure security, data privacy, threat modeling, vulnerability management, and secure software development lifecycle (SDLC).
Strong grasp of security concepts and principles, including network security, encryption, authentication, and authorization.
Hands-on experience with SAST/DAST tools, agent-based firewalls, IDS/IPS technologies, and automation tools for security orchestration. Experience with scripting languages for automating security processes.
Proficient in researching and validating vulnerabilities while proposing effective remediation or mitigation strategies.
Strong familiarity with OWASP principles and best practices for securing web applications, including the OWASP Top 10 vulnerabilities and Application Security Verification Standard (ASVS)
Up-to-date knowledge of market trends, emerging technologies, and best practices in cloud security
Strong analytical, problem-solving, and communication skills to address security challenges, coupled with the ability to influence and collaborate effectively with engineering teams in enhancing security measures and mitigating vulnerabilities in a dynamic, fast-paced environment.
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$158,284
—
$197,855 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
УдалённоRemote (Peru); We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind
УдалённоRemote (Peru); We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote (Peru); We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind
УдалённоRemote, United States; We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоEnsure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries; Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
УдалённоRemote - United States; Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries; Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
УдалённоSerbia
УдалённоRomania
УдалённоIndia
УдалённоPoland
УдалённоRomania
Зарплата не указана
УдалённоSerbia
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
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