As Solutions Architect (Cloud), you’ll have extensive experience in cloud architecture, DevOps, and a deep understanding of cloud computing technologies and services. As a Lead Cloud Architect, you will be responsible for overseeing the migration of various applications and portfolio applications from their current environments to AWS, Azure, OCI, and GCP cloud platforms hosted in FedRAMP and FedRAMP+ environments. You will be leading multiple cross-functional teams and mentoring other architects and developers to collaborate with stakeholders across different departments and external vendors to ensure a smooth and efficient migration process.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Provide technical leadership and mentoring for other architects, engineers and technical resources.
• Lead comprehensive application analysis, proposing modernization and migration methods aligned with cloud native design principles, DoD standards and security requirements.
• Modernize applications according to Government direction, prioritizing SaaS and PaaS, ensuring compliance with security requirements and Agile/DevSecOps methodologies.
• Provide technical analysis of mission requirements for application and/or portfolio of applications migrations, aiming for synergy and cost reduction, and gaining broad stakeholder buy-in for the migration approach.
• Provide ongoing application operations, maintenance, enhancement, and cybersecurity support, adhering to Agile/DevSecOps principles and DoD guidelines.
• Support active knowledge sharing to application owners' sustainment vendors for operating migrated applications, utilizing online training and providing comprehensive documentation.

What you’ll need to succeed:

• Active DoD Secret security clearance.
• Bachelor's degree in Computer Science, Information Technology, or related field and equivalent years of experience.
• Minimum of 5 years of experience in cloud architecture with public cloud providers (certificate preferred) such as AWS, Azure, OCI, and GCP in FedRAMP and FedRAMP+ environments, and at least 5 years of experience in a leadership role.
• Minimum of 5 years in developing and deploying a variety of server-side applications and systems in a cloud environment and familiar with software development in a modern cloud stack.
• Strong familiarity with cloud migration, infrastructure, and security concepts into DOD authorized IL 2, 4/5, and 6 cloud environments across four Cloud Service Providers (Amazon Web Services, Microsoft Azure, Oracle Cloud Infrastructure, and Google Cloud Platform).
• Demonstrated experience leading DevOps teams and implemented automation practices and tools, such as Jenkins, Docker, Kubernetes, and Git.
• Familiarity with data security requirements aligned with DISA Security Technical Implementation Guides (STIGs), FISMA, NIST and/or FedRAMP compliance.
• Possess an active and relevant baseline 8570.01 certification (e.g., Security+, CISSP)

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

As Sr. Data Engineer I, you’ll take a leadership role in architecting, building, and optimizing our data pipelines, data warehouses, and data lakes. Your deep technical expertise and extensive experience will drive the development of scalable, efficient, and reliable data solutions that empower our analytics and business intelligence initiatives. You will collaborate closely with cross-functional teams including data scientists, analysts, and software engineers to ensure our data ecosystem meets both current and future requirements.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Lead the design and implementation of complex, end-to-end data pipelines to collect, process, and transform data from various sources into usable formats.
• Develop and maintain ETL/ELT processes to ensure data integrity, accuracy, and availability for downstream applications.
• Collaborate with data scientists and analysts to understand data requirements and assist in the creation of data models, dashboards, and visualizations.
• Optimize data infrastructure for performance, scalability, and cost-effectiveness, making use of both traditional relational databases and modern big data technologies.
• Ensure data security and compliance with relevant data protection regulations throughout the data lifecycle.
• Identify and resolve data-related issues, troubleshoot performance bottlenecks, and provide timely support to maintain data operations.
• Mentor and guide junior data engineers, providing technical leadership and fostering a culture of continuous learning.

What you’ll need to succeed:

• Possess an active U.S. Government issued Secret security clearance.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of professional experience in data engineering, with a proven track record of designing and implementing robust data solutions.
• Expertise in building and maintaining data pipelines using tools such as Talend.
• Experience implementing data integration within tools such as Pentaho.
• Strong programming skills in languages such as Python, Java, Scala, or SQL for data processing and manipulation.
• Proficiency in working with CI/CD (e.g. Jenkins) and containerization technologies (e.g., Docker, Kubernetes) to deploy data platforms such as Talend and Pentaho.
• Experience with data warehousing solutions and data modeling concepts.
• Familiarity with version control systems (e.g., Git) and collaborative development practices.
• Excellent problem-solving skills and the ability to tackle complex technical challenges.
• Strong communication skills to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

As Sr. DevSecOps Engineer I, you’ll have the opportunity to contribute to the design, development, and maintenance of cutting-edge software products that have a direct impact on our company's success with a passion for solving complex problems and creating innovative software solutions.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define software requirements and design specifications.
• Lead the architecture, design, and development of high-quality software solutions that meet business and technical requirements.
• Write clean, maintainable, and efficient code while adhering to coding standards and best practices.
• Mentor and guide junior engineers, providing technical expertise and fostering a culture of continuous learning and improvement.
• Participate in code reviews to ensure code quality, consistency, and alignment with established architectural guidelines.
• Troubleshoot and resolve software defects and performance issues, working closely with the QA team.
• Contribute to the software development lifecycle, from requirements gathering and design to implementation and deployment.
• Collaborate with DevOps teams to ensure smooth and reliable deployment and operation of software applications

What you’ll need to succeed:

• Possess an active U.S. Government issued Secret security clearance.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5 years of experience in front-end or back-end development
• Proven expertise in HTML, CSS, JavaScript, frameworks (ExtJs, Angular, Vue.js)
• Experience with .NET, PHP, or SharePoint
• Experience with Agile Scrum
• Experience contributing to DevOps CI/CD pipelines and automation
• Knowledge of security best practices and secure coding techniques
• Knowledge of Section 508 standards
• Proficiency in one or more languages or platforms such as C#, Java, Ruby on Rails, Node.js, and Spring
• Experience with DB2, PostgreSQL, SQL Server, and/or MySQL
• Familiarity with Docker and Kubernetes
• Strong experience with software design patterns, data structures, and algorithms.
• Demonstrated experience in designing and building complex, scalable, and high-performance software systems.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
• Solid understanding of software testing principles and methodologies.
• Strong problem-solving skills and the ability to troubleshoot complex software issues.
• Excellent communication skills, both written and verbal, with the ability to effectively collaborate with team members and stakeholders.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

Not ready to apply now?

Sign up to join our newsletter here.

While this job can be worked almost entirely remotely, hiring is focused on the following greater metro areas (~50 miles):

• Austin, TX
• Atlanta, GA
• Chicago, IL
• Denver, CO
• New York City
• Seattle, WA
• Washington, DC
• Mexico City, MX

About the Role

An engineering role at Cloudflare provides an opportunity to address some big challenges, at scale.  We believe that with our talented team, we can solve some of the biggest security, reliability and performance problems facing the Internet. Just how big?  

• We have in excess of 15 Terabits of network transit capacity
• We operate 300+ Points-of-presence around the world
• We serve more traffic than Twitter, Amazon, Apple, Instagram, Bing, & Wikipediacombined
• Anytime we push code, it immediately affects over 200 million internet users
• Every day, up to 20,000 new customers sign-up for Cloudflare service
• Every week, the average Internet user touches us more than 500 times

We are looking for talented Software Engineers to build and develop the platform which makes Cloudflare customers place their trust in us.  Our Software Engineers come from a variety of technical backgrounds and have built up their knowledge working in different environments. But the common factors across all of our reliability-focused engineers include a passion for automation, scalability, and operational excellence.  Our Infrastructure Software Systems and Automation team focuses on the automation to scale our infrastructure.

Our team is well-funded and focused on building an extraordinary company.  This is a superb opportunity to join a high-performing team and scale our high-growth network as Cloudflare’s business grows.  You will build tools to constantly improve our scale and speed of deployment.  You will nurture a passion for an “automate everything” approach that makes systems failure-resistant and ready-to-scale.   

Cloudflare Software Engineers focus on automating our infrastructure installations and decommissions at scale.  We enable our Data Centre Engineering teams by allowing them to install new data centers, replace servers and networking in existing data centers as quickly and efficiently as possible while not impacting existing infrastructure and customer services.  While our focus is on automation and accurate asset tracking, there is an element of ongoing operational support of Data Center Engineers and other teams.  We also review upcoming hardware changes and update automation and configuration management to cater to these advances.

Many of our Software Engineers have had the opportunity to work at multiple offices on interim and long-term project assignments. The ideal Software Engineering candidate has strong knowledge of Python and Golang, with Rust an advantage. As we are automating server and networking installations, knowledge of Linux, Hardware and Networking is ideal.  We prefer to hire experienced candidates; however raw skill trumps experience and we welcome strong junior applicants.

Requisite Skills

• Intermediate level software development skills in Python and Shell scripting
• 5 years of relevant Development experience
• Strong skills in network services, including Rest APIs and HTTP

Examples of desirable skills, knowledge and experience

• 5 years of relevant work experience
• Linux systems administration experience
• Experience with Kubernetes and docker
• Tooling and automation development experience
• Network fundamentals DHCP, ARP, subnetting, routing, firewalls, IPv6
• Configuration management systems such as Saltstack, Chef, Puppet or Ansible
• SQL databases (Postgres or MySQL)
• Time series databases (OpenTSDB, Graphite, Prometheus)
• The ability to understand service and device metrics and visualize them using Grafana

Bonus Points

• Experience programming in Rust, Go or with Django
• Experience with continuous / rapid release engineering
• Experience developing systems that are highly available and redundant across regions
• Performance analysis and debugging with tools like perf, sar, strace, dtrace
• Experience with the Linux kernel and Linux software packaging
• Internetworking and BGP experience
• Key/Value stores (Redis, KyotoTycoon, Cassandra, LevelDB)
• Load balancing and reverse proxies such as Nginx, Varnish, HAProxy, Apache

Some tools that we use

• Netbox
• Apache Airflow 
• Salt
• Docker, Kubernetes
• Nginx
• Python
• Django
• PostgreSQL
• Redis
• Prometheus

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

About OpenSesame

OpenSesame's mission is to help develop the world's most productive and admired workforces. We do this by delivering a comprehensive catalog of elearning courses from the world's top publishers. We add value to customers through their entire learning journey.

While it appears to most people that we just sell training courses (over 40,000 of them), what we really offer is the opportunity for companies to upgrade the skills of each of their employees.

We are at a pivotal time in our growth as we diversify the ways we drive revenue. We've expanded our product offering dramatically, and have a growing network of partners that is developing into a vibrant channel. Our customer base has high satisfaction ratings and there is room to grow our retention even more.

www.opensesame.com/about.

About the Job

We are seeking a Senior Engineer to join our team and contribute to the growth and success of OpenSesame’s eLearning platform. As a Senior Engineer, you’ll work across the stack to develop new features, improve existing systems, and ensure high standards of performance and scalability. At OpenSesame, we are evolving toward Extreme Programming (XP) practices, and you’ll spend much of your time pairing or mobbing with other engineers to develop solutions collaboratively as we modernize and improve our systems.

This role requires a well-rounded engineer who can move seamlessly between front-end and back-end tasks, understands cloud infrastructure, and has experience with automated deployments. You’ll mentor and support other engineers, provide technical guidance, improve team processes, and help others level up their skills.

Performance Objectives:

In your first 90 days: Get fully integrated into the team’s workflow, develop a deep understanding of the product and architecture (including legacy systems written in Drupal 7 and Angular), and start contributing to collaborative development processes.

• Team Integration & Shared Ownership:Collaborate with the team to understand ongoing projects, key systems, and the current state of the product, with a specific focus on learning the legacy systems and their role in the platform.
• Contribute to Team Success:Actively participate in pair programming and mob programming to develop new features and resolve issues. Ensure the code the team produces is well-tested, scalable, and maintainable.
• Mentorship & Peer Support:Start mentoring team members by sharing insights, providing technical guidance, and supporting collaborative problem-solving. Help peers grow by offering constructive feedback and learning together through daily pairing and mobbing.
• Improve Team Processes: Engage fully in the team’s agile ceremonies, retrospectives, and discussions. Contribute to refining XP-based processes, such as test-driven development (TDD), to enhance team productivity and satisfaction.

Within 6 months: Take on more leadership in technical decision-making, guide the team’s development practices, and ensure quality in both code and process, while deepening your understanding of legacy systems and their modernization.

• Drive Team Decisions: Play a larger role in shaping the technical direction of the team. Work with others to ensure architectural decisions and designs reflect the collective needs of the product and its scalability, while embracing XP practices such as “YAGNI” (“You aren’t gonna need it”) and “Do the simplest thing that could possibly work.”
• Lead by Example:Continue to engage in pairing and mobbing to lead important tasks within the context of team goals. Lead initiatives to improve systems, performance, and workflows in a way that benefits the whole team.
• Collaborative Development: Work closely with Product and Design to ensure features meet business goals and deliver value. Facilitate collaboration within the team to break down silos and encourage collective ownership. Ensure that everyone’s voice is heard in pairing and mobbing sessions.
• Incremental Delivery & Vertical Slicing:Help the team break down complex features into vertical slices that deliver incremental value. Encourage the team to focus on releasing small, functional increments to ensure fast feedback and continuous improvement, particularly in legacy areas where change may be more challenging.
• Strengthen Team Dynamics: Act as a peer leader, supporting the growth and development of fellow engineers through mentoring and guiding technical decision-making in a way that aligns with the team’s XP practices. Help the team continually improve their mobbing, pairing, and TDD workflows.

By the end of your first year:Establish yourself as a technical leader within the team, while fostering a culture of shared ownership, collaboration, and continuous improvement.

• Promote Team Ownership: Foster a culture of team ownership, where each member feels empowered to take initiative and contribute to the success of the team. Encourage shared responsibility for the codebase and the product, ensuring daily pairing and mobbing lead to sustainable, high-quality solutions.
• Mentor & Develop Peers: Continue to mentor team members at all levels, helping mid-level engineers develop leadership and technical skills. Cultivate a strong sense of collaboration and knowledge-sharing within the team and across the organization through pair and mob programming.
• Help Shape Team Strategy: Work with engineering leadership to define and implement long-term strategies for your team, ensuring that technical vision aligns with company goals. Lead initiatives that enhance the team’s ability to execute efficiently within the XP framework, focusing on continuous delivery and iterative improvement.
• Advise Management:Provide thoughtful input to management on the team’s needs and capabilities. Identify areas where additional resources, tools, or training could help the team achieve its goals. Advocate for strategies that align with the team’s strengths and address gaps in skills or processes, ensuring the team’s long-term success and growth.

Tech Stack

This team owns and maintains our marketplace stack, built on Drupal 7 and Angular, which continues to deliver critical value to our customers. At the same time, we are actively modernizing our stack to leverage more contemporary technologies, including TypeScript, Node.js, React, and Terraform. Team members will work with both the legacy and modern systems, ensuring continuity and stability in our marketplace while contributing to its evolution.

• TypeScript / Node.js / React / Angular
• PHP / Drupal
• C# / .NET
• Python
• Terraform
• Docker
• AWS

Location: This role is based in Mexico City, Mexico. We operate as a remote-first company, and periodically host in-person all-company meetings. All positions require up to 15 days of travel per year, with senior management and leadership teams requiring up to 35 days. All positions require the legal ability (passport and travel visa) to travel to the US, excellent spoken and written English skills, and reliable, high-bandwidth Internet connectivity.

Performance Driven: We're looking for self-starters with a track record of delivering excellent results, and we're highly selective about who we hire. We don't focus on typical job requirements, instead, we're interested in specific examples from your past experiences.

Compensation: At OpenSesame, we offer a comprehensive benefits package to employees upon hire, including ISOs, health insurance, 401(k) matching, and paid time off. We carefully consider a wide range of compensation factors, relying on market data to determine compensation and consider your specific job family, background, skills, and experience. 

Equal Employment Opportunity: OpenSesame is an Equal Employment Opportunity and Affirmative Action employer that values and welcomes diversity. We do not discriminate on the basis of various legally protected characteristics, including criminal history, and strive to provide reasonable accommodations to qualified individuals with disabilities. We prioritize safety and security and may use your information accordingly, and you can contact us for assistance or accommodations during the job application process. For more information on our Diversity, Equity, and Inclusion initiatives, click here.

Pay Transparency: At OpenSesame, we prioritize pay transparency, fairness, and equity to create a positive and inclusive work environment, regularly reviewing our compensation practices to align with our values and goals. We provide competitive and fair compensation to our employees based on their skills, experience, and performance.

CPRA (California Candidates): When you submit your application, OpenSesame may collect and use your personal information in accordance with our privacy policy and the CPRA. This may include personal details and employment history, and will only be used for employment-related purposes. We may share this information with third-party service providers, but we will not sell it to third parties. If you have any questions or concerns, please contact us, and for more information on your rights under the CPRA, refer to our privacy policy or the California Attorney General's website.