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: United States
Job Overview:
As a Red Hat Ansible Engineer, you will be responsible for designing, implementing, and managing the company's automated system configuration and deployment strategies using Red Hat's Ansible. You will work closely with system administrators, developers, and IT management to automate a wide range of tasks, from system setup and software deployment to network configuration and data management.
Responsibilities:
Automation Strategy Design & Implementation:
Design and implement an automation strategy for the organization's IT systems using Ansible. This includes writing Ansible playbooks, setting up Ansible Tower, and integrating Ansible with other tools and platforms.
Configuration Management:
Use Ansible to manage the configuration of servers, networks, and software across the organization. Ensure that all configurations meet the organization's standards and policies.
Software Deployment Automation
: Use Ansible to automate the deployment of software across various environments. Work closely with development teams to integrate Ansible into the software development and deployment lifecycle.
System Troubleshooting & Support:
Troubleshoot and resolve issues with the Ansible environment and automated tasks. Provide technical support to IT staff and users as needed.
Security & Compliance:
Ensure that the use of Ansible and the configurations it manages comply with the organization's security policies and any relevant regulations. Use Ansible to automate security-related tasks such as patch deployment and system hardening.
Documentation & Reporting:
Document all Ansible configurations, playbooks, and procedures. Prepare regular reports on system performance, availability, and compliance.
Training & Mentoring:
Train and mentor other IT staff in the use of Ansible and the principles of IT automation. Promote the use of automation across the organization.
Requirements:
Education:
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Professional certifications such as Red Hat Certified Engineer (RHCE) or Red Hat Certified Specialist in Ansible Automation are highly desirable.
Experience:
At least 5 years of experience in IT, with at least 3 years of experience in managing Ansible environments.
Technical Skills:
Strong understanding of Ansible and its components, including playbooks, roles, and Ansible Tower. Familiarity with Linux system administration, shell scripting, networking, and security. Experience with other configuration management or IT automation tools is a plus.
Soft Skills:
Excellent problem-solving abilities, attention to detail, and communication skills. Ability to work independently and as part of a team.
Physical Requirements:
Depending on the specific role and location, this may involve working in a data center environment and handling heavy equipment.
Other:
Willingness to participate in an on-call rotation and to travel, as needed.
Disclaimer:
This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
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; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them.
- Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled.
- Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem.
- Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself.
- Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships.
- Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve.
- Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself.
- Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk.
REQUIREMENTS
- Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack
- Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems
- Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems
- Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product
- Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership
- Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it
- Willingness to respond to customers outside regular working hours and participate in an on-call rotation
- Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads
WHAT YOU'LL BRING
We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following:
- Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE)
- Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloads
- A detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang
- The ability to profile and optimize GPU workloads, in training or serving
- Hands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAX
- Operational depth - running on-call, leading incident response, debugging distributed systems under pressure
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
About This Role:
Strava is hiring an Engineering Manager on our Subscriptions team. This team owns Strava's payments and subscription platform, both the infrastructure and the user-facing products it powers. We're looking for a technical manager who still writes code and wants to grow a small team of backend engineers while owning some of Strava's most critical systems.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week.
What You'll Do:
- Lead a team of server engineers building Strava's subscription and payments backend, systems that power how millions of athletes subscribe, pay, and manage their subscriptions.
- Own the technical roadmap for payments and subscription infrastructure. You'll partner closely with product and engineering leadership on priorities, balancing platform investment, reliability, and delivery.
- Drive both platform and product work. Your team owns our subscription infrastructure and the user-facing products it powers.
- Stay hands-on in the codebase. You'll write code, own technical designs, and make architecture decisions alongside your team, not just review them.
- Hire, develop, and retain engineers at multiple levels. Coach people through career growth, give direct feedback, and build a team that gets stronger over time.
- Keep payment and subscription services reliable and healthy. You own on-call, incident response, and the operational bar for your team's systems.
- Partner cross-functionally with product, design, accounting, and marketing to identify the highest-leverage work and ship it.
- Treat ownership seriously. Your team's systems handle payments, billing, and subscription state for millions of users. You take reliability, correctness, and incident response personally.
- Grow your engineers. You'll manage people at different career stages and help each one develop, whether that's getting someone to senior or helping a more experienced engineer take on larger technical ownership.
- Build for the long term. You make pragmatic tradeoffs between shipping now and investing in the platform, and you can explain those tradeoffs clearly to partners.
- Stay technical. You're not managing from a distance. You have informed opinions on system design and you can unblock engineers by jumping into the code.
- Make the team better. You care about how the team works, not just what they ship. You'll fix what's slowing people down and build processes that stick.
What You'll Bring to the Team:
- 5+ years of professional software development experience in backend engineering.
- 2+ years of engineering management experience, or demonstrated tech lead experience where you were already doing the job of coaching engineers, driving technical direction, and owning delivery for a team.
- Proficiency in at least one of Strava's backend languages (Ruby, Java, Scala, Python, or Go).
- Experience with distributed systems and production infrastructure (MySQL, Redis, Kafka, Kubernetes, or similar).
- Experience with, or genuine interest in, payments, billing, or subscription systems.
- A track record of helping engineers grow through direct feedback, mentorship, and sponsorship.
- We'd love to talk to you about the future of Strava’s core technologies and your role in developing them
For more information of benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
Location: San Francisco Bay Area, USA
Workplace: Hybrid
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ABOUT THE ROLE
We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level.
You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs.
This role is for someone who understands ads systems deeply and is equally strong in modern generative AI. You should be comfortable moving across ranking and recommendation, targeting and optimization, prompt engineering, post-training, and production ML systems.
You'll help define what an AI-native advertising platform looks like from the ground up.
WHAT YOU'LL DO:
- Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimization.
- Develop models that improve ad creative quality, relevance, personalization, and performance at scale.
- Build systems that connect generative models with real-world advertising performance signals, creating feedback loops that continuously improve model outputs.
- Apply prompt engineering and post-training techniques to improve generative models for advertising and creative use cases.
- Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives.
- Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance.
- Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving.
- Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use.
REQUIREMENTS
- Deep experience building machine learning systems for advertising.
- Strong understanding of ads systems, including areas such as ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement.
- Hands-on experience with LLMs, multimodal models, or generative AI systems.
- Strong experience with prompt engineering and model evaluation.
- Experience with post-training, including techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches.
- Strong software engineering fundamentals and experience shipping production ML systems.
- Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system.
- High agency.
- Working English.
NICE TO HAVE
- Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform.
- Experience with generative video, image, or multimodal models.
- Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimize ML systems.
- Experience with large-scale model training, inference optimization, or distributed ML infrastructure.
- Experience building AI systems that generate or optimize advertising creative.
COMPENSATION & BENEFITS
• We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
• Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location.
• Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. •
• Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally
• The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
• Significant ownership, direct impact, and opportunities for professional growth as the company scales.
This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual
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: Warsaw, Poland
Introduction
Dentons Business Services EMEA
is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration.
At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability.
The Department
The Finance System Team plays a significant role in the operational success of Dentons. We look for focused, flexible individuals from a variety of backgrounds who are team players. Previous experience within the legal sector is not always essential and we seek people who relish opportunities to excel, grow and share in our success. We want to give everyone the opportunity to develop their potential fully and, therefore, provide support, training, and encouragement to members of staff at all levels.
The Role
Dentons is recruiting a
Finance Systems Analyst
on an 18-month fixed-term contract. The individual will have responsibility for providing technical support, system analysis and administration, and championing system best practice for the firm's financial systems which include Elite 3E, Intapp Time and Emburse expense management solutions. The firm has recently implemented a new Practice Management System after a multi-year programme and the role is instrumental in maximizing return on that investment.
The successful candidate must have:
4+ years' experience working within a Finance, IT or professional services technical support team
strong organizational skills with the ability to manage and prioritise multiple activities
Demonstrated the ability to work in a support model (technical and/or business) with a proven track record supporting business-critical applications
Skilled in identifying and implementing innovation and improvements in service delivery
Excellent skills in working with business, technical teams and external vendors and developing strong stakeholder relationships
Excellent documentation skills.
Requirements
Role Responsibilities
Daily monitoring and data integrity checks for the suite of financial systems
System administration and support for other financial systems including Elite 3E, Intapp Time, Emburse, Enable (ERM). Analysing data feeds in Integration Builder to ensure accurate system integration.
Handling missing time queries from both Legal Service and Business Service colleagues
Administering system access control and configuring system security
Proactively respond to queries and requests via email, telephone, and Fresh Helpdesk ITSM
Undertaking system Month End process as part of a rostered team
Support with the development of system and process enhancements and upgrades
Support with a variety of testing activity to ensure quality control
Liaising with software vendor and managing escalation of issues and working with them where required.
Effective and timely status reports to line management
Assist with process documentation and instructions to ensure compliance and best practice
Experience, Skills & Knowledge
Essential:
Strong Elite 3E experience and knowledge
Highly collaborative and able to work with teams and users across offices
Excellent communication skills; Meticulous attention to detail
Strong analytical skills
Excellent organisational and project management skills
Demonstrate 'can do' attitude to problem solving
Aptitude for absorbing information quickly
Willingness to develop new skills in wide range of technology
Good understanding of Microsoft Office suite
Customer focused, flexible, results driven and used to operating in a period of change
Able to thrive working under pressure and multi-task
Ability to work in global environment with wide variety of people and projects in a collective and collaborative manner
Desirable:
Experience of IT and Finance operations and strong knowledge and experience in IT/Finance practices
Experience with financial and system related audits
Advanced Microsoft Excel skills for data manipulation and management
Experience with Microsoft SQL (T-SQL) or OQL highly advantageous
Understanding of databases, servers and system infrastructure beneficial
Experience managing or being involved with full life cycle projects beneficial
Experience in post-system transition activities and support
Process design, implementation, and optimisation
Collaboration with developers and technical teams
Strong business partnering with stakeholders
Benefits
Private medical healthcare provided by Medicover
MultiSport card
Benefit Cafeteria system
Option to join a private insurance plan
An additional day off for your birthday
Tailored learning & development opportunities
Hybrid work model with a modern office in Warsaw city center
Location: Seoul, South Korea
About Our Client
Our client is a
privately owned, profitable global software company
specializing in IT performance management solutions. Its platform helps organizations monitor, manage, and optimize the performance of their
applications, cloud environments, and IT infrastructure
from a single platform.
Headquartered in Singapore, the company has a global presence supported by international R&D teams and an established network of partners, including global system integrators, consultants, distributors, and resellers. The business has a strong track record of profitable growth and serves enterprise customers across major markets worldwide.
About The Role
Our client is looking for a
Sales Director to lead enterprise sales growth in South Korea
. This is an outside sales role with significant ownership of the Korean market.
The successful candidate will be responsible for generating and developing new business opportunities, managing the full sales cycle, and building strong relationships with enterprise customers and channel partners.
The role requires someone who is comfortable working independently, combining
marketing-generated leads with proactive business development, networking, and self-generated opportunities
.
Key Responsibilities
Drive new business development across the South Korean market, with a focus on enterprise customers.
Identify, qualify, and develop opportunities for IT performance management solutions.
Manage the
full sales cycle
, from prospecting and discovery through negotiation and deal closure.
Build and maintain a strong pipeline of qualified opportunities to consistently meet or exceed sales targets.
Generate opportunities through a combination of inbound leads, networking, cold outreach, existing relationships, and market research.
Understand customer environments and business challenges and position relevant solutions accordingly.
Deliver compelling product presentations and value propositions to prospective customers.
Manage objections and navigate complex B2B sales cycles through to successful closure.
Work closely with partners, consultants, distributors, and resellers to identify and develop new opportunities.
Maintain accurate pipeline, opportunity, and customer information in
Salesforce CRM
.
Conduct ongoing account and market research to identify target organizations and potential opportunities.
Maintain accurate sales forecasting and provide visibility into pipeline development and competitive activity.
Develop strong product knowledge and stay informed on customer needs, market trends, and competitive dynamics.
Requirements
10+ years of experience in enterprise software sales
, ideally selling IT infrastructure, monitoring, virtualization, or related technology solutions.
Proven track record of consistently
meeting or exceeding sales targets
.
Strong experience managing complex
B2B enterprise sales cycles
, from prospecting through closing.
Experience across areas such as
Application Performance Management (APM), IT monitoring, IT analytics, IT Service Management, enterprise applications, or infrastructure software
.
Experience selling into enterprise organizations and/or service providers.
SAP-related sales experience is a plus.
Strong prospecting and new business development capabilities, with a demonstrated
hunter mentality
.
Excellent consultative selling, presentation, negotiation, and stakeholder management skills.
Ability to understand complex customer environments and translate business challenges into relevant technology solutions.
Highly independent and self-motivated, with the ability to operate effectively with limited supervision.
Comfortable working in a fast-paced environment with a high degree of ownership and autonomy.
Strong communication, organization, prioritization, and time management skills.
Experience using
Salesforce or similar CRM platforms
.
Comfortable conducting both virtual and face-to-face meetings with customers.
Bachelor's degree or equivalent experience.
Location: Jeddah, Saudi Arabia
Eram Talent
is seeking a qualified
Maintenance Engineer – Systems
to support a leading organization in Saudi Arabia. The role will be responsible for maintaining and optimizing
Niagara4-based Building Automation Systems
and
Integrated Fire Alarm Automation Systems
, ensuring system reliability, performance, security, and continuous improvement.
Key Responsibilities
Monitor and maintain
Niagara4-based Integrated Automation Systems (IKAS)
and
Integrated Fire Alarm Automation Systems (IFAS)
.
Prepare daily system functionality and health reports.
Investigate and resolve system alarms, faults, and failures, including
Root Cause Analysis (RCA)
.
Create and manage
Niagara user accounts
according to approved access levels.
Monitor system user activities and report security or access violations.
Manage software backups and perform restoration when required.
Coordinate with IT teams to resolve
network and virtual machine issues
.
Troubleshoot communication issues between Niagara and connected equipment/devices.
Configure Niagara machine
IP addressing and server communication ports
.
Perform system optimization, fine-tuning, and continuous improvement.
Develop and maintain
SQL database scripts and configurations
for reporting requirements.
Maintain related IT equipment, including
servers, workstations, and JACE controllers
.
Address security alerts raised by Operations and IT departments.
Support system expansion projects and ensure vendor/contractor compliance.
Maintain Niagara system configurations and graphics accuracy.
Conduct audits and inspections of automation systems.
Develop software solutions to improve system performance and daily operations.
Prepare monthly system status reports and performance/statistics dashboards.
Coordinate with software developers and relevant departments on automation-system requirements.
Manage
TRIDIUM SMA agreements
, including software patches, bug fixes, and version upgrades.
Requirements
Bachelor’s degree
in Computer Science, Electrical Engineering, Electronics Engineering.
Minimum
7 years of overall relevant experience
.
Minimum
3 years of experience working with Niagara platform-based Building Automation Systems
.
Knowledge of
Niagara4 Java and HTML5 implementation
.
Knowledge of
Building Automation Systems (BAS)
.
Knowledge of security systems such as:
Fire Alarm Systems
Lighting Control Systems
Power Monitoring Systems
Strong
problem-solving and Root Cause Analysis (RCA)
skills.
Knowledge of
Energy Conservation
.
Fluent in
written and spoken English
.
Location: Dhahran, Saudi Arabia
We are seeking an experienced
Core Logging Geologist
to join our mineral exploration team. The successful candidate will be responsible for detailed geological logging of drill core, sample management, and supporting exploration programs focused on
base metals with a strong emphasis on gold exploration
. The role requires excellent geological interpretation skills, adherence to industry standards, and the ability to work effectively in remote field environments.
Key Responsibilities
Perform detailed geological, structural, alteration, mineralization, and geotechnical logging of diamond drill core.
Identify and record lithological units, mineral assemblages, alteration styles, and structural features accurately.
Support exploration targeting through geological interpretation and integration of drilling data.
Ensure accurate sample selection, marking, and preparation in accordance with QA/QC procedures.
Maintain high-quality geological databases and ensure data integrity.
Work closely with drilling contractors and exploration teams to coordinate drilling activities and core handling.
Assist in geological mapping, trench logging, and field reconnaissance as required.
Interpret exploration results and contribute to technical reports and daily progress updates.
Follow company Health, Safety, and Environmental (HSE) policies and maintain safe work practices.
Support resource evaluation activities by providing accurate geological data.
Qualifications
Bachelor's degree in Geology, Applied Geology, or a related Earth Science discipline.
Minimum
5 years of hands-on field experience
in mineral exploration.
Proven expertise in
core logging for base metal exploration
, with significant experience in
gold exploration projects
.
Strong understanding of structural geology, alteration mineralogy, and ore deposit geology.
Experience with geological logging software and database management systems.
Knowledge of QA/QC protocols for drilling and sampling.
Ability to work independently in remote field locations under challenging conditions.
Strong analytical, communication, and report-writing skills.
Proficiency in Microsoft Office and geological data management software.
Preferred Skills
Experience working on greenfield and brownfield exploration projects.
Familiarity with industry reporting standards and exploration best practices.
Ability to interpret geological data and contribute to exploration targeting.
Strong teamwork and problem-solving abilities.
Work Environment
Field-based role with extended rotations at remote exploration sites.
Willingness to travel and work flexible schedules based on project requirements.
Key Competencies
Geological interpretation
Core logging and sampling
Mineral exploration
Data accuracy and attention to detail
Team collaboration
Safety awareness
Technical reporting
Time management
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Washington, D.C.
What you'll do
As a Principal Public Sector Architect you understand your customer’s scope and mission. You have a deep understanding of key drivers for the technology decisions in large government and education and how those drivers support their goals. You are familiar with key regulatory guidelines and constraints and the unique nature of those factors on technology modernization.
You can credibly engage across various technical domains. You have the capability to converse on risk management and have the ability to articulate the impact of risk to the organization in terms the government understands. You have an understanding of the factors and trends that are top of mind in government for CIOs, CISOs and other agency executives are thinking about to increase government services’ effectiveness, security and end user experience.
You will help our customers build digital transformation strategies using the Cloudflare technologies and platform.. You are aware of what comes next and you can position the value proposition of the Cloudflare platform in tangible benefits to the government mission, without necessarily referring to specific individual technologies.
Your aim is to understand our customers' journey, helping them identify, understand, and scope their needs as they replace or migrate from existing edge cloud and/or on-premises technologies. You will help them comprehend the value proposition of Cloudflare technology in relation to their transformation or other mandates, and you will guide them in building a roadmap towards their next-generation secure digital architecture using our platform.
In this role, you will work as a part of a highly visible structured team to build and maintain relationships with key stakeholders within our strategic customers. You will have a track record of public engagement and experience working internally to build the business case for solution development and enhancements. An equally important component of this role is the expectation that you scale your industry expertise and knowledge across the wider Pre-Sales organization.
What you will do:
Responsible for working with customers to define tailored visions, creating a path for innovation stretching multiple years out. Develop a roadmap with customer and internal Cloudflare stakeholders and together push the boundaries on how Cloudflare can help large government and education move forward. This includes identifying, understanding, scoping, and guiding the journey to replace or migrate from existing edge cloud and/or on-premises technologies.
Build and maintain the long term technical relationship of strategic accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the marketplace, and further establishing our footprint within the customer’s landscape.
Collaborate with specialists, architects, and subject matter experts across diverse functions. Apply extensive vertical knowledge and domain expertise to enhance the depth and effectiveness of engagement.
Available for consultation throughout a strategic engagement's lifecycle, from account planning and initial vision setting to guiding stakeholders through Solution Design.
Support for Business Value Assessment creation and delivery.
Contribute industry expertise to guide Cloudflare’s go-to-market and platform evolution.
Travel up to 40% during the quarter to support partner engagements, attend conferences, represent Cloudflare at industry events, and collaborate with your teammates.
Desirable skills, knowledge and experiences:
15+ years of prior Technical Sales, Engineering, and/or first-hand industry experience required.
Demonstrable experience in building trust and maintaining relationships with key customer stakeholders.
Strong understanding of both business strategy and technology at a deep level.
Aware of government and industry standards, frameworks and compliance requirements (i.e, HIPAA, PCI, SOX, FEDRAMP, GDPR, NIS2, etc.).
Experience in designing architecture, migration, and implementation of cloud, edge and on-premises technologies from industry incumbent legacy providers and solutions.
Compensation
Compensation may be adjusted depending on work location.
For Washington, DC based hires: Estimated annual salary of
$257
,000
- $31
4,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Washington, D.C.
What you’ll do as a Senior Customer Engineer, Public Sector Federal
You are the technical lynchpin through the entire sales cycle - pre-sales and account technical leadership. You will work closely with our Public Sector prospects and customers to educate, empower, and ensure their success on the Cloudflare platform. Your technical expertise in Cloudflare’s global distributed network and technology will allow you to find best-fit solutions for prospects, to train and onboard new customers via video-conference or in person, create documentation, and to support the long-term technology strategy of the customer.
As a Public Sector Federal Solutions Engineer, you will need to have strong technical knowledge of both on premise security and networking implementations and public cloud initiatives common to US Public Sector Federal customers. You are the technical customer advocate within Cloudflare and will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support.
What we look for in our Solutions Engineers
Our Solutions Engineers come from a wide range of backgrounds: engineering, software development, product management, customer support, and project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.
Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realize the full promise of Cloudflare. You are an educator who works with empathy to drive positive outcomes for your customer. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.
Responsibilities
As critical members of Cloudflare’s Public Sector Sales team, Solutions Engineers drive technical discussions and implementations to help generate new business, expand existing business, and keep our customers happy.
In business generation and expansion, you’ll be tasked with qualification of prospect and customer use cases, technical requirements discovery, leading demonstrations, solution identification and design, and collaborative work on proofs-of-concept (PoCs).
For our existing customers, Solutions Engineers are part of a dedicated account team that advises the customer on technical best practices, implementation of Cloudflare products and features, and strategic guidance.
The role is focused on emerging Dept. of Defense & DISA segment within our Federal segment and as such will require some travel, Generally, the role requires 35-45% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.
Requirements
Demonstrated understanding in internet technologies: OSI Model layers 1-7,Routing TCP/UDP, DNS (authoritative and recursive), HTTP(S), SSL / TLS.
Comfortable with SASE frameworks and related technologies such as Secure WEb Gateway, CASB, DLP, SD-WAN, etc.
Comfort with on premise infrastructure and networking configurations, including potential legacy systems or methodologies.
Minimum 4 years of experience in a customer-facing sales or consulting role supporting the US Federal Government.
Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our Solutions Engineers are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.
A focus on learning, teaching, collaboration, mentorship, and growth, not only personally but also within the team and company.
Aside from technical and collaborative skills, we place a high value on project management, relationship building, and EQ.
Desired
You're not afraid of command-line interfaces, RESTful APIs, or analyzing HTTP request and response in a browser’s web inspector.
An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
Experience serving the US Department of Defense or DISA market segment
Bonus Points
Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
Certifications: Azure/AWS/GCP Architect, etc.
More About You
You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in enterprise organizations.
You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions.
You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important.
You understand how to manage a project, work to deadlines, and prioritize between competing demands.
Compensation
Compensation may be adjusted depending on work location.
For Washington based hires: Estimated annual salary of $211,000 - $257,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Remote - US
About the Job:
LaunchDarkly is looking for an Enterprise Developer Advocate to build a new motion from the ground up: education-first technical sessions inside our largest accounts. Most enterprise customers know LaunchDarkly for one thing. Inside those same companies are teams shipping AI features, running experiments, and managing risky releases who have never met us. You'll design and run sessions that teach those engineers something genuinely useful, build internal champions alongside our account teams, and surface expansion opportunities the field can act on. This starts as a pilot, and how it scales will be shaped by what you prove. It's a role for someone who wants to own a motion, not a queue.
Responsibilities:
Build the motion: design the Enterprise Developer Advocacy program from pilot to repeatable practice, including session formats, account selection criteria, readouts, and measurement
Run sessions inside target accounts: deliver education-first technical sessions (agents and AgentControl, safe rollouts, experimentation, runtime control) tailored to each account's stack and use cases
Build champions with the field: partner with AEs, SEs, and CS to identify accounts, find and develop internal champions, and hand off what surfaces cleanly to the teams who should own it
Keep it credible: protect the non-promotional, education-first nature of the sessions; this motion works because it isn't a sales pitch
Prove it with evidence: instrument the pilot, produce session readouts, debrief with reps, and make the scale, adjust, or stop recommendation based on what the data shows
Shape what comes next: as the motion proves out, define how it scales, including the playbook future advocates would run
Qualifications:
A background spanning at least two of: developer advocacy, solutions engineering, developer education, technical marketing
Comfortable in enterprise rooms: you can teach a technical session to fifty engineers and handle hardball questions from a skeptical principal architect
Hands-on technical credibility: you build, demo, and teach, and senior engineers take you seriously
Strong operational instincts: you can run a repeatable program, prioritize incoming demand, and keep commitments to the field
Typically requires a minimum of 12 years of related experience.
Ability to travel approximately 25% of the time
(Bonus) Experience with feature management, experimentation, observability, or agent orchestration tooling
(Bonus) You've built a customer-facing technical program (workshops, DevDays, office hours) from scratch
(Bonus) Deep enterprise software background: you understand how large engineering organizations make platform decisions
Pay:
Target pay ranges based on Geographic Zones* for Level 5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$171,200
- $235,400
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100
- $211,860
**
Zone 3:
All other US locations - $145,500
- $200,090*
*
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
УдалённоRomania
УдалённоIndia
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ГибридSan Francisco Bay Area, USA; Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone
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