About Acquia

Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out.

Headquartered in the U.S., Acquia is a Great Place to Work-CertifiedTM company in India, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community. We are Acquia. We are building for the future and we want you to be a part of it!

Role:

Leading our customers to succeed by driving the development and delivery of cutting-edge web experiences through a delivery model focused on best practices, standards, and Acquia products.

Key responsibilities:

• Using Acquia Professional Services best practices, craft technical solutions that balance business needs, feasibility, quality, and time to deliver.
• Define and document the technical architecture of assigned projects.
• Collaborate with product and other internal Acquia teams to identify opportunities and raise and resolve integration issues.
• Validate technical output against standards and architecture direction.
• Manage technical relationships with internal stakeholders, the customer, and partners.
• Provide the technical standards for quality, performance and security to the project team.
• Assure deployments are tested and deployed successfully.
• As needed, and depending on skill set, assume any number of the responsibilities of the Developer or Front-end Developer role.
• Ad Hoc duties as assigned.
• Ability to timeshift schedule to accommodate customer timezone and on-call considerations as needed.

Key requirements:

• Total 7+ years of experience along with the minimum 2+ years of exp as a Technical Architect exp
• Prior deep experience building, leading and architecting Drupal applications with 5+ years developing Drupal applications
• Experience in the development tools such as Git, Composer, Drush, Lando / DDev / Cloud IDEs, etc.
• Commitment to delivering high-quality software on time.
• Experience with and interest in complex implementations.
• Ability to develop, review, and test custom Drupal modules and themes.
• Desire to learn and adapt to new applications and frameworks, and eager to work on exciting and innovative technologies.
• Strong interpersonal and communication skills.
• Strong troubleshooting and problem-solving capabilities.
• Highly organized with attention to detail.
• Able to manage multiple projects at the same time.
• Ability to clearly communicate project escalations proactively.
• Skilled at collaborating with team members and partners in a matrixed environment.
• Flexible and able to deal with frequently shifting priorities.
• Excellent written and verbal English communication skills, with an ability to collaborate asynchronously in a multi-time zone environment.
• Experience and interest in Agile methodologies including Scrum or Kanban.
• Experience and interest in automated testing and continuous integration are a plus.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more!
Individuals seeking employment at Acquia are considered without regard to race, color, religion, caste, creed, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Whatever you answer will not be considered in the hiring process or thereafter.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team:

At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create the core rating models that our customers use for assessing third-party risk and self-assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows.

About the Role:

As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of emerging technologies, and ensure models perform optimally through ongoing monitoring and refinement. Your work will directly enhance cybersecurity resilience for organizations worldwide, making the world a safer place. If you’re passionate about solving complex problems and creating impactful solutions, this role offers the opportunity to make a significant impact while working in a dynamic, collaborative environment.

Responsibilities:

• Model Development: Design, train, and optimize machine learning models and algorithms. 
• Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training.
• Model Deployment: Implement and manage models in production environments, ensuring scalability, reliability, and performance.
• Research and Experimentation: Stay updated on the latest machine learning techniques, tools, and frameworks to enhance model accuracy and efficiency.
• Collaboration: Work closely with data scientists, software engineers, and product teams to understand requirements and integrate ML solutions into products.
• Performance Monitoring: Continuously monitor, evaluate, and fine-tune models post-deployment to maintain accuracy and robustness.
• Documentation:Create clear and concise documentation for models, processes, and systems to support team collaboration and knowledge sharing.

Required Qualifications:

• 3+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL.
• Solid understanding of algorithms, statistics, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and version control systems (e.g. Git).
• Familiarity with Linux/Unix command line tools.

Preferred Qualifications:

• PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field.
• Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $80,000 - $95,000 (USD base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team:

At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create the core rating models that our customers use for assessing third-party risk and self-assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows.

About the Role:

As a Senior ML Engineer, you will be a technical leader within the Data Science organization, sharing your experience and setting best practices. You will design and implement ML algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of emerging technologies, and ensure models perform optimally through ongoing monitoring and refinement. Your work will directly enhance cybersecurity resilience for organizations worldwide, making the world a safer place. If you’re passionate about solving complex problems and creating impactful solutions, this role offers the opportunity to make a significant impact while working in a dynamic, collaborative environment.

Responsibilities:

• Technical Leadership: Establish best practices and share expertise through mentorship.
• Model Development: Design, train, and optimize machine learning models and algorithms. 
• Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training.
• Model Deployment: Implement and manage models in production environments, ensuring scalability, reliability, and performance.
• Research and Experimentation: Stay updated on the latest machine learning techniques, tools, and frameworks to enhance model accuracy and efficiency.
• Collaboration: Work closely with data scientists, software engineers, and product teams to understand requirements and integrate ML solutions into products.
• Performance Monitoring: Continuously monitor, evaluate, and fine-tune models post-deployment to maintain accuracy and robustness.
• Documentation:Create clear and concise documentation for models, processes, and systems to support team collaboration and knowledge sharing.

Required Qualifications:

• 5+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL.
• Solid understanding of algorithms, statistics, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and version control systems (e.g. Git).
• Familiarity with Linux/Unix command line tools.

Preferred Qualifications:

• PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field.
• Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $100,000 - $120,000 (USD base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Our Guiding Stars are the values at the heart of our organization that drive everything we do. We are committed to creating meaningful change not only in our industry but also in the communities we engage with. If our Guiding Stars resonate with you, we encourage you to consider joining our team.

• Drive Results: We think big, work smart, and execute fast to transform the future of commerce
• Cultivate Belonging: We welcome diverse backgrounds and experiences, driving positive change through inclusion and teamwork
• Champion Customers: We go the extra mile for our customers to help them unlock their full potential
• Adapt Boldly: We’re curious and innovative, we take risks and grow from our failures

The Opportunity:

We are looking for a new addition to our Expert Services team in Durham or Boston. You will join a highly skilled and motivated customer success team dedicated to accelerating and providing continuous value to our customers. You will work with customers to gain an in-depth understanding of their business and technical requirements in order to assist customers in maximizing the value they derive from commercetools products. Within your capacity as a front-end implementation expert, you will guide our customers through key technical concepts with a focus on facilitating a successful and timely implementation of the commercetools Frontend solution.

Your Mission:

• Serve as a trusted advisor responsible for providing ongoing technical guidance and solution design, assisting both new and long-term customers in maintaining and enhancing their e-commerce front-ends. 
• Lead discovery and solution design sessions with diverse technical implementation teams ensuring the development, delivery and launch of top-tier commercetools solutions encompassing both frontend and backend design.
• Develop samples, proof of concepts and code snippets in modern development languages (i.e. TypeScript and React).
• Facilitate the onboarding process for new customers and partners, providing comprehensive consulting and support to ensure they are equipped to utilize our solutions effectively. Act as a subject matter expert for commercetools domains. Create materials, presentations and play books to help internal and external customers integrate commercetools into their e-commerce architecture.
• Stay at the cutting edge of e-commerce, web and SaaS technology by keeping up with the latest trends and advancements.
• Act as a bridge between business and technical teams on both sides, ensuring clear and effective communication of requirements and feedback.
• Foster strong relationships with customers, partners, and internal teams such as product, support, and training to facilitate collaboration and ensure the timely and successful delivery of projects.

What you need to succeed:

• Around 5+years of proven experience as a solution architect, technical consultant, or similar role in the e-commerce industry.
• Relevant experience with version control (Git), frontend deployment platforms (e.g. Netlify, Vercel), CI/CD processes, cloud providers (e.g. AWS, GCP, Azure) environment management, deployment strategies, observability and monitoring.
• Relevant experience in software development for production-ready applications.
• Strong experience with modern frontend development languages and technologies (e.g. like React, nextJS) and integrations with SaaS ISV vendors (e.g. Contentful, Algolia, Adyen).
• Ability to compose and decompose architectural diagrams which outline solution concepts, workflows, and infrastructure.
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to diverse stakeholders.
• Experience working cross-functionally with presales, post sales, engineering, operations, and delivery teams.
• Demonstrated ability to manage multiple projects and priorities simultaneously.
• Proactive problem-solving skills and a customer-centric mindset.
• Experience with onboarding and training customers or partners is a plus.

We care about your growth and well-being

???? Competitive Compensation Package:Generous compensation structure consisting of salary, a competitive stock option package, and various benefits and perks

☀️ Workation:Work up to 60 days per year in a country different from your home country  

???? Learning & Development Budget

???? Academy:Regular training sessions, access to Coursera and Babbel training courses

???? Our Benefits:Check them out by officehere

⌚️ Flexibility: Morning person or night owl? We believe in outcome and motivated employees

???? Mindset & Growth:A diverse workplace with an open, international culture, and learning environment

Come grow with us!

We are all different and that is what makes us stronger! We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company better.

commercetools celebrates being a diverse environmentand is proud to be an equal opportunity employer. If your professional profile aligns with our specific hiring requirements and Guiding Stars, we encourage you to apply. We will assess your competencies, future potential, approach to learning and self-development and passion, and not your age, color, national origin, religion, gender, gender identity or expression, sexual orientation, familial status, genetics, or disability.