Intermediate Drupal Developer

***Note that this position is a contract role, with an option to go full-time***

Position Summary

This individual will play a hands-on role in architecting, developing, and maintaining Drupal-based interactive web projects. Detail-oriented, highly organized, and analytical, you are responsible for building scalable Drupal solutions, implementing custom modules, managing CMS configurations, and supporting ongoing enhancements across active client properties.

You must have a strong understanding of the software development lifecycle and be able to communicate project status, issues, and resolutions clearly and effectively.

We work in an agency environment with multiple clients, so communication skills, breadth of experience, multi-tasking across several projects, and passion for modern web technologies are paramount qualities in our ideal candidate. You will collaborate closely with account, creative, UX, and project management teams while also partnering with client IT teams and external vendors when needed.

Core Skills

• Strong experience with Drupal 9/10 (site building and custom development)
• Experience building and maintaining custom Drupal modules
• Proficiency in PHP and Drupal API
• Experience with Drupal theming (Twig, custom themes, component-based development)
• Strong knowledge of HTML5, CSS3, and modern JavaScript
• Experience working with RESTful APIs and third-party integrations
• Experience with Composer and Drupal dependency management
• Experience with Git-based source control workflows
• Familiarity with MySQL and relational database concepts
• Experience with Drupal configuration management and deployment workflows
• Understanding of web accessibility (WCAG) and SEO best practices
• Experience troubleshooting and debugging Drupal applications
• Ability to configure and deploy Drupal web applications
• Working knowledge of Apache and/or Nginx environments

Additional Skills Considered

• Experience with decoupled/headless Drupal architecture
• Familiarity with React, Vue, or other modern JS frameworks
• Experience with AWS (EC2, S3, CloudFront, IAM)
• Experience with CI/CD pipelines and automated deployments
• Experience with Docker-based local development environments
• Knowledge of Acquia, Pantheon, or other Drupal hosting platforms
• Experience with multi-site Drupal environments
• Familiarity with performance optimization and caching strategies (Varnish, Redis)
• Experience working in regulated industries (healthcare, life sciences, etc.)

Competency

• Highly collaborative with strong problem-solving and troubleshooting skills
• Leads by example in concise communication and quality-driven development
• Active participant in code reviews and QA workflows
• Ability to multi-task across multiple client projects simultaneously
• Comfortable interacting with client IT teams during technical discovery
• Ability to investigate and recommend technical solutions for varied project needs
• Strong attention to detail and commitment to clean, maintainable code
• Familiarity with Agile, Scrum, and/or Waterfall methodologies

Essential Functions

• Develop custom Drupal modules and themes
• Configure and maintain Drupal CMS features and content structures
• Translate business requirements and creative designs into functional Drupal solutions
• Implement third-party integrations (APIs, marketing tools, CRM systems, etc.)
• Maintain and update legacy Drupal codebases
• Participate in architecture discussions and technical planning
• Perform code reviews and contribute to best practice standards
• Support deployment processes and troubleshoot production issues
• Optimize Drupal performance and caching configurations
• Code, test, and support database-driven web applications
• Provide technical assistance to creative and UX teams as needed
• Assist in producing accurate tasks and project estimates
• Recommend solutions based on best practices and independent judgment
• Stay current on Drupal core updates, contributed modules, and security releases
• Contribute to documentation and internal knowledge sharing

General Requirements

• This job description should be treated as a guide to the duties that the post holder is expected to perform.
• The description may be amended to meet the changing requirements of the agency.
• All employees are required to be aware of their responsibilities toward Health and Safety and adhere to company policies.

Bonus/nice-to-have Skills

• AWS Lambda
• React JS
• PHP Object-oriented Development (think CodeIgniter MVC frameworks)
• Bootstrap Boilerplate
• SQL
• WordPress Core & Plugins Development
• Tailwind CSS
• Python
• Linux (preferably RHEL)
• SAML Experience

Minimum Required Qualifications

• Education: Bachelor’s degree in computer science, MIS, related field, or equivalent experience
• Work Experience: 3–5 years of professional Drupal development experience

Regularly Interacts With

Account, Creative, UX, Creative Services, Planning, Project Management, and Client IT teams.

Location: This is a hybrid position based out of San Jose, Costa Rica. 2+ days a week in office.

Armis is making a major dent in the cybersecurity market. Joining the Armis family means working with dedicated individuals on a mission to enable large organizations to benefit from the latest connected devices without fear of compromise from a cyber attack. Armis is the leading agentless device security platform purpose-built to protect the world of unmanaged and IoT devices - providing passive, real-time, and continuous asset inventory, risk management, and detection & response to prevent cyber attacks from disrupting and compromising a business.

The Technical Support Team is at the heart of impacting and ensuring clients use the Armis products effectively. Supporting our customers to solve their challenging technical security problems is critical to achieving our mission. The technical support team does this by working with our customers to offer professional and proactive deescalation for their complex technical issues. The team collaborates and works hand in hand with the Operations, R&D teams, Solution Architects, Product, Customer Success, and other teams to ensure seamless onboarding, deployment, and on-going development of our customers.

Responsibilities:

Our Technical Support Engineer will provide second level support with a focus on our US based customers. As part of our Engineers based in the US, you’ll help pave the way as the knowledge source to our growing customer base, as you will work to resolve our customers’ most pressing technical issues. You will apply your creativity and innovative ideas that best support and create a lasting experience for our customers.

As part of your day-to-day, you’ll take ownership of customer cases and troubleshoot customers’ issues. You will support our customers in making the most of our products. You will be taking on projects either within/with other teams to create a company-wide impact.

Requirements:

• At least 2 -4 years of experience in a similar role
• Industry experience in Cyber Security, particularly network security or application security is required
• Experience with enterprise customer accounts is required 
• Technical networking knowledge in TCP/IP and the application layer
• Technical experience supporting Linux-based products
• Composing SQL queries and working with Databases
• Working with Docker/Kubernetes-based environments is preferred
• Experience with Scripting languages (Bash, Python or equivalent) is preferred
• BS degree in CS or equivalent is preferred
• Enjoy working with customers using excellent communication and problem-solving skills
• Bonus: experience with ServiceNow

Why You'll Love This Role: 

As a Senior Site Reliability Contractor, you will be involved in coding infrastructure automation with Terraform and Github Actions CI/CD. In this role, you will focus on improving our monitoring using Datadog, Sentry, and Cloudwatch. It will be critical to improve and automate our release processes to deploy Newsela services. You will have the opportunity to develop a rapport with a domain of application developers to improve infrastructure and monitoring for Newsela services in their ownership

What You'll Be Doing:

• Be on an on-call rotation to respond to incidents that impact Newsela.com availability and provide support for developers during internal and external incidents 
• Maintain and assist in extending our infrastructure with Terraform, Github Actions CI/CD, Prefect, and AWS services
• Build monitoring that alerts on symptoms rather than outages using Datadog, Sentry and CloudWatch
• Look for ways to turn repeatable manual actions into automations to reduce on-call toil
• Improve operational processes (such as deployments, releases, migrations, etc) to make them run seamlessly with fault tolerance in mind 
• Design, build and maintain core cloud infrastructure on AWS and GCP that enables scaling to support thousands of concurrent users
• Debug production issues across services and levels of the stack 
• Provide infrastructure and architectural planning support as an embedded team member within a domain of Newsela’s application developers 
• Plan the growth of Newsela’s infrastructure 

About You:

• Technical

  • Infrastructure as code: use Terraform and Github CI/CD for automation, containerize our environments (Docker, ECS), and leverage cloud technologies to meet our goals
  • Systems: manage, configure and troubleshoot operating system issues, storage (block and object), networking (VPCs, proxies and CDNs), and administer high-availability datastores (mySQL, Postgres, Neo4J) and Redis clusters
  • Monitoring and instrumentation: implement metrics in Datadog, Sentry, log management and related systems, and Slack/JIRA integrations
  • Engineering practices: availability, reliability and scalability, as well as disaster recovery
  • Work in a variety of languages: Shell, IaC, Python, SQL

  Execution

  • Planning: familiarity with agile methodologies; use epics, issues to drive projects
  • Organization: personal and team workload organization, OKR leadership
  • Management: able to self-organize and accomplish tasks asynchronously

  Collaboration and Communication

  • Leading and contributing to scope and designs for issues, epics, and OKRs
  • Contributing to Newsela architecture diagrams, process diagrams and runbook documentation
  • Completing Root Cause Analysis (RCA) investigations and perform readiness reviews
  • Improving team practices through code reviews, handoffs of work and incidents

  Influence and Maturity

  • Knowledge sharing, mentoring within SRE and developer teams
  • Self-awareness, handling conflict in the team, providing and receiving feedback
  • Maintaining good relationships with other engineering teams at Newsela that help improve the product
  • Accountability: willing to proactively step in and do the right thing while providing candid and constructive feedback
  •  

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.

Why you’ll love working at Newsela:

• Health & Wellness: Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. 
• Work From Home: We are a fully remote company. We provide a monthly tech stipend to support your WFH needs!
• Supporting ALL Families: Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! 
• Financial Wellbeing: Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security.
• Time Off: Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st).
• Professional Development: Newsela offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at Newsela.
• Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Searching for a Backend Engineer long-term contractor to work from home in Latam! Please submit your CV/Resumé in English, thank you!

Do you live and breathe backend development, with languages like Python and SQL as your trusty companions? Are you energized by the challenge of architecting robust and scalable systems, seamlessly integrating APIs and crafting elegant solutions? If you find joy in building the backbone of applications that power our digital world, then you have the perfect ingredients to thrive as our exceptional Backend Engineer, shaping the future of our technology stack!

Responsibilities

• Designing and implementing server-side applications using Python
• Writing complex SQL queries using Trino to gather analytics data from multiple sources
• Developing and maintaining microservices for our platform
• Designing and optimizing databases, both relational and non-relational
• Collaborating with cross-functional teams to integrate APIs and ensure smooth functionality
• Writing efficient and reusable code, adhering to best practices and coding standards
• Performing code reviews to ensure high-quality codebase
• Developing comprehensive end-to-end integration tests to ensure systems function as intended
• Troubleshooting and debugging issues in backend systems
• Staying up to date with the latest technologies and industry trends to drive continuous improvement

Qualifications

• English language proficiency required
• BS degree in Computer Science or a similar technical area of study, or equivalent practical experience
• 2-4 years of experience as a software engineer/developer, with a focus on backend development
• Proficiency in Python
• Strong experience with databases, SQL, and database optimization techniques
• Experience working with microservices architecture
• Familiarity with API design principles and RESTful services
• Solid understanding of software development lifecycle and Agile methodologies
• Excellent problem-solving and troubleshooting skills
• Strong collaboration and communication abilities, with the capability to work in cross-functional teams

Nice to Have

• Advanced degree in Computer Science or related field
• Experience/certification with cloud platforms like Amazon Web Services or Google Cloud Platform
• Familiarity with containerization technologies like Docker
• Knowledge of message queues and streaming platforms, such as Apache Kafka
• Understanding of caching mechanisms and performance optimization techniques
• Experience with performance testing and profiling tools
• Familiarity with machine learning concepts and frameworks

You’ll Grow at Linqia

Influencer marketing is chaotic. Linqia brings the calm in the chaos. We’re a leader in the influencer marketing industry. We're a mature and growing tech start-up, having experienced 100% year-over-year growth and break-even. We partner with the world's largest brands including General Motors, Bayer, Kimberly-Clark, Unilever, Albertsons, McDonalds, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing and leveraging creator content. We combine the science and accountability of online media with award-winning creativity to deliver the greatest return on investment and results for our clients’ paid, owned, and earned media.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.

Type: Contract, per-project.
Location: Remote — within LATAM with ET ±1 hour
Availability: Contractor (40 hours per week)

Job Title: Data / Platform Engineer (AWS & Data Pipelines)

We are looking for a highly motivated Data / Platform Engineer to join our team and help design, build and operate scalable data pipelines and cloud-based solutions.

In this role, you will work closely with engineering and product teams to build both streaming and batch data pipelines, contribute to system design, and help drive automation and monitoring across our data platform.

Key Responsibilities

• Design, build, maintain and primarily operate scalable streaming and batch data pipelines, with a strong focus on maintenance, monitoring, troubleshooting and continuous improvement of existing pipelines.

• Work with AWS services, including Redshift, EMR and ECS, to support data processing and analytics workloads.

• Develop and maintain data workflows using Python and SQL.

• Orchestrate and monitor pipelines using Apache Airflow.

• Build and deploy containerized applications using Docker and Kubernetes.

• Break down high-level system designs into well-defined, deliverable tasks with realistic estimates.

• Collaborate with cross-functional teams in a fast-paced and distributed environment across the US and Europe.

• Drive automation, observability and monitoring to improve reliability, performance and operational efficiency.

• Support knowledge transfer and ownership handover as part of the planned transition to the consuming team.

Required Qualifications

• Strong professional experience with Python and SQL.

• Hands-on experience with AWS, specifically Redshift, EMR and ECS. AWS experience is mandatory (other cloud providers are not considered equivalent for this role).

• Proven experience building and operating both streaming and batch data pipelines.

• Professional experience with Apache Airflow, Docker and Kubernetes.

• Ability to translate high-level system designs into actionable technical tasks and realistic estimates.

• Comfortable working in dynamic and fast-paced environments and in distributed teams.

• Strong interest in automation and monitoring.

• Strong hands-on experience with Apache Spark.

• Senior-level profile with strong autonomy, communication skills and ability to work effectively in distributed teams.

• Proven ability to transfer knowledge and support ownership handovers.

• Fluent or professional working proficiency in English (both written and spoken).

Nice to Have

• Previous experience in the telecom industry.

• Experience with machine learning systems and/or event-driven architectures.

• Experience with Apache Iceberg.
  
  (*) SOUTHWORKS only hires individuals from countries that are not blocked or sanctioned by the United States, including those identified on the United States Office of Foreign Asset Control (OFAC).

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.

You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.

What You’ll Do

• Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
• Explore, analyze, and prepare large datasets for modeling and experimentation
• Design, build, and validate statistical, predictive, and machine learning models
• Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
• Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
• Lead data modernization & migration projects at large enterprises
• Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
• Stay current with emerging data science, AI, and machine learning techniques and tools

Qualifications

• Minimum 5+ years of experience in a data science, machine learning, or solution architect roles.
• Strong proficiency in Python (or similar) and experience with data science libraries and frameworks.
• Solid foundation in statistics, probability, and machine learning techniques.
• Experience designing and managing the build-out of  cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift).
• Familiarity with model deployment, monitoring, and lifecycle management.
• Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
• Excellent communication skills in english.
• Experience collaborating with data engineering teams on production-grade solutions.
• Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in.
• Experience working in agile, consulting, or cross-functional environments.

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package.
• Socials, Outings & Retreats.
• Annual tech & travel allowance.
• Culture of Learning & Development.
• Flexible Working Hours.
• Work from Home Flexibility.
• Service Recognition Programs.

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

About the Role

The Revenue Cycle Management team is seeking a Staff Backend Software Engineer to play a key role in modernizing our billing platform. This position will focus on designing and implementing architectural solutions for performant, scalable systems that can evolve with our growing business needs. You will lead efforts in cloud integration, ensuring seamless connectivity and monitoring of cloud services, with an emphasis on microservices and target state architectural patterns.

In this role, you will drive code reviews, offering feedback and recommendations to improve the quality and maintainability of our codebase. Your expertise in cloud technologies will be critical as you collaborate with teams to integrate cloud solutions, optimize performance, and establish monitoring practices. You will have the opportunity to shape the future of our billing platform by crafting solutions that are both cutting-edge and aligned with best practices for scalability, security, and reliability.

Your Area of Focus

• Lead Software Development: Design, develop, test, and deploy scalable and maintainable software applications using Spring Boot, Java, React, and cloud technologies.
• Architect and Design: Collaborate with product managers, designers, and cross-functional teams to architect robust and scalable solutions that meet business requirements. Provide input into the technical direction of the team and product.
• Cloud Technology Expertise: Leverage experience with cloud platforms (AWS, Azure, Google Cloud, etc.) to design cloud-native applications. Ensure that applications are optimized for scalability, reliability, and cost-efficiency in a cloud environment.
• Code Reviews & Mentorship: Conduct thorough code reviews, ensuring that the team adheres to best practices for clean, maintainable, and efficient code. Mentor junior and mid-level engineers, fostering a culture of continuous learning and improvement.
• Collaboration and Communication: Work closely with product and design teams to define requirements, deliver timely solutions, and provide technical expertise throughout the product lifecycle.
• Performance and Optimization: Monitor and optimize the performance of applications. Identify bottlenecks and implement performance improvements across both frontend (React) and backend (Java/Spring Boot) layers.
• Agile Development: Participate in Agile development processes, including sprint planning, daily standups, retrospectives, and backlog grooming. Contribute to defining and prioritizing work within the team.
• Stay Current: Continuously research and apply emerging technologies and industry best practices to improve the development process and product quality.

Your Professional Qualifications

• Minimum 8 years of professional software engineering experience with a strong track record of delivering complex software solutions.
• Strong expertise in Java and Spring Boot for building scalable and secure backend systems.
• Experience with building RESTful APIs and microservices architectures.
• Hands-on experience with React and frontend web technologies.
• Experience with modern front-end workflows and state management
• Practical experience with one or more cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with cloud-native technologies (e.g., containers, serverless, CI/CD pipelines).
• Strong Understanding of Software Design Patterns: Experience in object-oriented design principles, microservices architectures, and cloud-native application design.
• CI/CD & DevOps Practices: Experience with CI/CD pipelines, automated testing, and deployment practices. Familiarity with tools such as Jenkins, Harness, Docker, Kubernetes, or similar.
• Database Expertise: Strong experience with both relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB) and an understanding of database design and optimization.
• AI Expertise: Demonstrating usage of AI tools supports your daily work when doing research, debug, coding and deployment of new solutions.

(For Recruiter use only) #LI-SS1 #LI-Hybrid

Important Information 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior Go Backend Engineer - Cybersecurity (19694), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design, develop, and integrate high-performance backend systems for cybersecurity platforms using Golang
• Architect and implement scalable microservices and cloud-native solutions ensuring high availability and resilience
• Build and maintain CI/CD pipelines, observability, and monitoring to support reliable system operations
• Collaborate with cross-functional teams, contribute to system design, and mentor engineers to drive best practices

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend software engineering and distributed systems
• Strong proficiency in Golang with hands-on experience building production systems
• Experience designing and developing microservices, REST APIs, and gRPC services
• Strong knowledge of testing practices including unit testing, BDD, and clean code principles
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Experience with DevOps and GitOps practices including CI/CD pipelines and infrastructure as code
• Strong knowledge of relational and NoSQL databases
• Excellent problem-solving, communication, and collaboration skills with ability to work in dynamic environments

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

Important Information 

Location: Costa Rica

Work Mode: Remote

Job Summary 

As a Senior Software Engineer - AI (19693), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design, build, and scale AI-centric distributed systems that power offensive security and penetration testing products
• Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems
• Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization
• Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development

Qualifications and Skills 

• 7+ years of experience in backend engineering and distributed systems within production-grade environments
• 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems
• Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks
• Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems
• Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns
• Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka
• Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies
• Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments
• Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows
• Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

Important Information 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior Software Development Engineer in Test (19742), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design, develop, and maintain end-to-end dbt testing strategies, validating data transformations from bronze to gold layers using mocked and expected datasets
• Collaborate with business stakeholders, Data Engineers, and Analytics Engineers to define testing scope, ensure requirement traceability, and guarantee data quality standards
• Build, maintain, and optimize dbt models, unit tests, integration tests, and custom data validation frameworks within modern data platforms
• Investigate failed test cases, review pull requests, contribute to Agile ceremonies, and continuously identify opportunities to improve technical processes, quality standards, and team effectiveness

Qualifications and Skills 

• 7+ years of experience in Quality Engineering, with strong focus on data platforms and automation
• Strong understanding of data warehousing concepts, ETL processes, and BI environments
• Advanced proficiency in SQL and scripting languages such as Python for automation and validation
• Hands-on experience with data validation techniques, data quality frameworks, and testing methodologies for data pipelines
• Solid understanding of testing strategies, including the Test Pyramid and automated testing best practices
• Experience working with version control systems (Git) and modern development workflows
• Experience with dbt, Databricks, Docker, pytest, and development tools such as VSCode
• Strong analytical skills with the ability to translate engineering and analytics requirements into comprehensive testing strategies
• Proven track record of driving continuous technical, process, and team improvements
• Nice to have: knowledge of data pipelines, Power BI, Tableau, cloud environments, automation testing frameworks, and data governance/compliance standards

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

Important Information

Experience: +5 years

Job Mode: Full-time

Work Mode: Remote in all Latam

Job Summary

As a Senior Golang Engineer (19694) you will be part of a fast-paced, collaborative team developing our attack surface intelligence capabilities. You will be a critical contributor to the development and integration of reconnaissance technologies and products while also moving forward the state of engineering best practices in our cybersecurity platform. If you enjoy pivoting between different problems and meeting new challenges every day while developing solutions that are mission critical to the organization, this role is for you!

Responsibilities and Duties

• Develop and integrate cybersecurity testing and analysis systems with best-in-class cybersecurity platform;
• Build high-performance, resilient, scalable cloud-based software, microservices architecture and containers;
• Take software through CI/CD all the way to production and own its quality and availability;
• Utilize GCP platform to build and run highly-available software systems;
• Identify and resolve performance issues across systems and components;
• Collaborate on a cross-functional team, working with Product, Operations, and Platform Engineering;
• Integrate monitoring and alerting capabilities with backend modules to allow proactive improvements to availability and response times;
• Design, implement and deliver well-tested, scalable, highly available systems;
• Own and ideate technical solutions for product requirements and user stories;
• Actively engage and participate in design and code reviews;
• Offer guidance and support to junior team members, encouraging and cultivating a culture of continuous learning within the team

Essential Skills

• 5+ years of experience in backend software engineering and distributed systems.
• Strong Golang Required;
  • Strong experience and understanding of microservices, REST API design, gRPC, unit testing, BDD testing;
  • Strong design skills required – UML is a bonus; exposure to Domain Driven Design desirable;
  • Experience with asynchronous messaging technologies such as Google PubSub, Kafka;
• In depth knowledge of NoSQL and RDBMS technologies;
• Strong experience with Docker, Kubernetes, Cloud Environments (GCP preferred);
• Experience working on agile teams;
• Experience developing scalable and observable microservice-based applications
• Experience with GitOps and DevOps principles, practices and tools;
• A proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts
• Advanced English skills.

Highly Desirable Skills

• Interest in security / penetration testing
• Interest in GenAI and LLM technologies

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior AI Software Engineer - Go & Python (19693), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design and build scalable AI-driven systems focused on cybersecurity and offensive security use cases
• Lead the development of agentic AI solutions for vulnerability detection, automation, and threat intelligence
• Own end-to-end delivery of features from ideation to deployment, ensuring high performance and reliability
• Mentor engineers, lead technical discussions, and collaborate with cross-functional teams to integrate AI capabilities

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend engineering and distributed systems
• Strong experience with AI technologies such as LLMs, RAG, and agent-based systems
• Expert-level proficiency in Go and solid experience with Python
• Strong experience designing microservices, REST APIs, and gRPC services
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Strong knowledge of relational and NoSQL databases
• Experience optimizing LLM performance, including token usage and cost efficiency
• Excellent communication, leadership, and collaboration skills in cross-functional environments

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

Important Information 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior Backend Java Developer (19519), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design, develop, and maintain scalable backend services and RESTful APIs using Java and cloud-native principles
• Build and manage containerized applications using Docker and deploy them on Kubernetes clusters across cloud and on-prem environments
• Implement CI/CD pipelines and ensure reliable, automated build, testing, and deployment processes
• Monitor system performance, troubleshoot issues, and optimize applications for scalability, resilience, and security

Qualifications and Skills 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 5+ years of experience in backend development using Java and modern frameworks
• Strong experience designing and developing RESTful APIs and microservices architectures
• Hands-on experience with Docker and Kubernetes for containerization and orchestration
• Experience working with cloud platforms such as AWS or Azure in SaaS or cloud-native environments
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar
• Strong knowledge of relational and NoSQL databases and data modeling concepts
• Experience with monitoring tools such as Prometheus, Grafana, or ELK stack
• Understanding of infrastructure as code tools such as Terraform or Ansible
• Strong problem-solving, collaboration, and communication skills in Agile environments

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

Important Information 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior Go and Ruby Developer (19695), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design, develop, and deploy high-performance, resilient, and scalable cloud-native backend systems that power mission-critical cybersecurity platform services
• Lead end-to-end software delivery from architecture and technical design through implementation, testing, deployment, and production support
• Architect and optimize distributed microservices running on Google Cloud Platform, ensuring reliability, observability, and performance at scale
• Mentor engineers, participate in architecture discussions and code reviews, and drive engineering excellence through best practices, automation, and modern SDLC processes

Qualifications and Skills 

• 7+ years of experience in backend engineering or distributed systems development within production-grade environments
• 4+ years of expert-level experience with Go (Golang), building scalable and high-performance backend services
• Strong understanding of microservices architecture, RESTful API design, and gRPC-based service communication
• Proven experience designing and scaling distributed systems with strong system design fundamentals and performance optimization strategies
• Hands-on experience with Google Cloud Platform (GCP), building and operating highly available services in cloud-native environments
• Strong experience with containerization and orchestration technologies including Docker and Kubernetes
• Experience implementing asynchronous messaging systems such as Google Pub/Sub or Kafka
• Deep knowledge of relational and NoSQL databases, including schema design, indexing strategies, and performance tuning
• Strong experience implementing automated testing strategies (unit, integration, BDD) and CI/CD pipelines aligned with DevOps or GitOps practices
• Working knowledge of Ruby, Domain-Driven Design (DDD), UML modeling, and experience scaling microservice-based cybersecurity or SaaS platforms

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

Important Information 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior Go Developer (19694), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design and develop scalable backend services and cybersecurity intelligence capabilities using Golang within a cloud-native architecture
• Build and integrate high-performance, resilient microservices and APIs that support distributed cybersecurity platforms
• Develop and maintain CI/CD pipelines, monitoring, and observability practices to ensure reliable deployment and system performance
• Collaborate with cross-functional teams while contributing to architecture decisions, code reviews, and mentoring junior engineers

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend software engineering and distributed systems
• Strong proficiency in Golang with extensive experience developing production backend services
• Deep experience designing microservices architectures and building REST APIs or gRPC services
• Hands-on experience with containerization technologies such as Docker and orchestration platforms like Kubernetes
• Experience working with cloud platforms, preferably Google Cloud Platform (GCP)
• Strong experience with asynchronous messaging systems such as Kafka or Google Pub/Sub
• Experience working with relational and NoSQL databases in scalable environments
• Experience with DevOps practices, GitOps workflows, CI/CD pipelines, and infrastructure as code tools
• Strong problem-solving, collaboration, and communication skills in cross-functional engineering teams

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

This role is part of the team responsible for delivering enterprise-level digital solutions using Adobe Experience Manager (AEM). The Back End Developer will act as a key contributor, providing expertise in AEM Cloud and Java development, and supporting the implementation process through high-quality, scalable code. You will collaborate closely with the Technical Lead, Technical Director, Project Management, and Frontend teams to deliver efficient and reliable solutions. This role is in the organization to provide expertise in specific platforms that are commonly leveragedby clients. Output of this role is to develop code as a part of the implementation process.

You Will:

• Act as a subject matter expert in platform development, primarily working on Adobe Experience Manager (AEM Cloud) projects
• Support technical design and backend development in collaboration with Tech Leads and Project Managers
• Develop unit test cases and perform unit testing
• Build and maintain integrations between AEM and other enterprise systems (RESTful services, APIs)
• Troubleshoot and resolve issues within the AEM platform and related services
• Manage and support content deployment workflows within AEM Cloud
• Collaborate closely with frontend developers to ensure seamless integrations
• Participate in Agile workflows, including ticket management, status updates, and documentation (Jira, Confluence)
• Support QA teams during testing phases and contribute to overall product quality
• Be a source of expertise on platform development projects [e.g., Adobe Experience Manager projects]
• Develop and maintain backend services [e.g., sling servlets, sling models, OSGi components andservices, workflows, etc. for AEM.]
• Develop Unit test cases and perform unit testing
• Manage and develop the integrations between various systems and the platform
• Troubleshoot issues that arise on the platform [e.g., AEM]
• Manage and maintain the content deployment workflows in the platform
• Support quality assurance team in testing activities

You Have:

• Hands-on experience with:
  • Adobe Experience Manager (AEM), ideally AEM Cloud
  • Java development (core and frameworks)
  • RESTful web services and system integrations
  • Frameworks and tools such as Sling, JCR, OSGi
  • Git / Bitbucket
  • Jira and Confluence
  • Web development tools and frameworks [JSP, JavaScript, HTML 5 and CSS]
  • Using Code Editors like Visual Studio Code, IntelliJ IDEA or similar
• Ability to build systems that are easy to use, maintainable and scalable
• Ability to effectively contribute to enterprise-grade development projects
• Good understanding of the need to test and document your code with an excellent attention to detail
• Ability to deliver maintainable and scalable code on time
• Ability and desire to thrive in a fast-paced, client-service environment
• Ability to learn and adapt to new technologies quickly
• Excellent verbal and written communicator, ability to speak tech to non-tech people
• Should be able to efficiently update on task status, blockers, dependencies on time
• Moderate experience in platforms and content management systems [Adobe Experience Manager]

Nice to have:

• JIRA, Confluence, SharePoint Site is an asset
• Docker, Vagrant, Chef or Puppet is an asset
• Configuring web servers such as Apache or NGINX is an asset
• Configuration management is an asset [e.g., OSGi configurations]
• Using and configuring build automation tools [Maven, Jenkins, TeamCity, Bamboo]

What we offer: 

• Maternity and parental leave extra days
• Competitive benefits packages
• Vacation, compassionate leave, sick days, and flex days
• Access to online services for families and new parents
• Diversity and Inclusion Board with 12 affinity groups
• Internal learning and development programs
• Enterprise-wide employee discounts
• And more…

At Critical Mass, we value our employees and offer competitive compensation and benefits packages.  If you’re looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!

The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.

The ask stems from our want to:

Strengthen opportunity for continuous learning
Improve collaboration and team relationships.
Increase employee engagement

This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.

This role is part of the team responsible for delivering enterprise-level digital solutions using Adobe Experience Manager (AEM). The Back End Developer will act as a key contributor, providing expertise in AEM Cloud and Java development, and supporting the implementation process through high-quality, scalable code. You will collaborate closely with the Technical Lead, Technical Director, Project Management, and Frontend teams to deliver efficient and reliable solutions. This role is in the organization to provide expertise in specific platforms that are commonly leveragedby clients. Output of this role is to develop code as a part of the implementation process.

You Will:

• Act as a subject matter expert in platform development, primarily working on Adobe Experience Manager (AEM Cloud) projects
• Support technical design and backend development in collaboration with Tech Leads and Project Managers
• Develop unit test cases and perform unit testing
• Build and maintain integrations between AEM and other enterprise systems (RESTful services, APIs)
• Troubleshoot and resolve issues within the AEM platform and related services
• Manage and support content deployment workflows within AEM Cloud
• Collaborate closely with frontend developers to ensure seamless integrations
• Participate in Agile workflows, including ticket management, status updates, and documentation (Jira, Confluence)
• Support QA teams during testing phases and contribute to overall product quality
• Be a source of expertise on platform development projects [e.g., Adobe Experience Manager projects]
• Develop and maintain backend services [e.g., sling servlets, sling models, OSGi components andservices, workflows, etc. for AEM.]
• Develop Unit test cases and perform unit testing
• Manage and develop the integrations between various systems and the platform
• Troubleshoot issues that arise on the platform [e.g., AEM]
• Manage and maintain the content deployment workflows in the platform
• Support quality assurance team in testing activities

You Have:

• Hands-on experience with:
  • Adobe Experience Manager (AEM), ideally AEM Cloud
  • Java development (core and frameworks)
  • RESTful web services and system integrations
  • Frameworks and tools such as Sling, JCR, OSGi
  • Git / Bitbucket
  • Jira and Confluence
  • Web development tools and frameworks [JSP, JavaScript, HTML 5 and CSS]
  • Using Code Editors like Visual Studio Code, IntelliJ IDEA or similar
• Ability to build systems that are easy to use, maintainable and scalable
• Ability to effectively contribute to enterprise-grade development projects
• Good understanding of the need to test and document your code with an excellent attention to detail
• Ability to deliver maintainable and scalable code on time
• Ability and desire to thrive in a fast-paced, client-service environment
• Ability to learn and adapt to new technologies quickly
• Excellent verbal and written communicator, ability to speak tech to non-tech people
• Should be able to efficiently update on task status, blockers, dependencies on time
• Moderate experience in platforms and content management systems [Adobe Experience Manager]

Nice to have:

• JIRA, Confluence, SharePoint Site is an asset
• Docker, Vagrant, Chef or Puppet is an asset
• Configuring web servers such as Apache or NGINX is an asset
• Configuration management is an asset [e.g., OSGi configurations]
• Using and configuring build automation tools [Maven, Jenkins, TeamCity, Bamboo]

What we offer: 

• Maternity and parental leave extra days
• Competitive benefits packages
• Vacation, compassionate leave, sick days, and flex days
• Access to online services for families and new parents
• Diversity and Inclusion Board with 12 affinity groups
• Internal learning and development programs
• Enterprise-wide employee discounts
• And more…

At Critical Mass, we value our employees and offer competitive compensation and benefits packages.  If you’re looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!

The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.

The ask stems from our want to:

Strengthen opportunity for continuous learning
Improve collaboration and team relationships.
Increase employee engagement

This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Searching for a Backend Engineer long-term contractor to work from home in Latam! Please submit your CV/Resumé in English, thank you!

Do you live and breathe backend development, with languages like Python and SQL as your trusty companions? Are you energized by the challenge of architecting robust and scalable systems, seamlessly integrating APIs and crafting elegant solutions? If you find joy in building the backbone of applications that power our digital world, then you have the perfect ingredients to thrive as our exceptional Backend Engineer, shaping the future of our technology stack!

Responsibilities

• Designing and implementing server-side applications using Python
• Writing complex SQL queries using Trino to gather analytics data from multiple sources
• Developing and maintaining microservices for our platform
• Designing and optimizing databases, both relational and non-relational
• Collaborating with cross-functional teams to integrate APIs and ensure smooth functionality
• Writing efficient and reusable code, adhering to best practices and coding standards
• Performing code reviews to ensure high-quality codebase
• Developing comprehensive end-to-end integration tests to ensure systems function as intended
• Troubleshooting and debugging issues in backend systems
• Staying up to date with the latest technologies and industry trends to drive continuous improvement

Qualifications

• English language proficiency required
• BS degree in Computer Science or a similar technical area of study, or equivalent practical experience
• 2-4 years of experience as a software engineer/developer, with a focus on backend development
• Proficiency in Python
• Strong experience with databases, SQL, and database optimization techniques
• Experience working with microservices architecture
• Familiarity with API design principles and RESTful services
• Solid understanding of software development lifecycle and Agile methodologies
• Excellent problem-solving and troubleshooting skills
• Strong collaboration and communication abilities, with the capability to work in cross-functional teams

Nice to Have

• Advanced degree in Computer Science or related field
• Experience/certification with cloud platforms like Amazon Web Services or Google Cloud Platform
• Familiarity with containerization technologies like Docker
• Knowledge of message queues and streaming platforms, such as Apache Kafka
• Understanding of caching mechanisms and performance optimization techniques
• Experience with performance testing and profiling tools
• Familiarity with machine learning concepts and frameworks

You’ll Grow at Linqia

Influencer marketing is chaotic. Linqia brings the calm in the chaos. We’re a leader in the influencer marketing industry. We're a mature and growing tech start-up, having experienced 100% year-over-year growth and break-even. We partner with the world's largest brands including General Motors, Bayer, Kimberly-Clark, Unilever, Albertsons, McDonalds, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing and leveraging creator content. We combine the science and accountability of online media with award-winning creativity to deliver the greatest return on investment and results for our clients’ paid, owned, and earned media.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.

About the Role

This role requires high-level autonomy, where you will define your own direction within strategic goals, influence multiple teams, and navigate high complexity and ambiguity to deliver tangible business results. You will bridge the gap between technical innovation and real-world business challenges by applying advanced statistical and machine learning techniques to build predictive models and derive actionable insights.

What we are looking for

• Experience & Education: Bachelor's degree in Computer Science or Engineering with 8–12 years of relevant experience leading complex technical projects with multi-team impact.
• Advanced ML & Statistics: Expert capability in designing end-to-end ML systems for complex problems (including imbalanced data and concept drift), applying advanced statistical methods (mixed models, survival analysis, Bayesian approaches), and demonstrating a deep understanding of causal inference techniques, experimentation design (A/B testing, MABs), and deep learning architectures for unstructured data (e.g., NLP, Computer Vision).
• Core Technology Stack: Expertise in Python (including libraries like Pandas and NumPy) or R, proficiency with cloud platforms and their data/ML services (e.g., AWS Sagemaker, GCP Vertex AI, Azure ML Services), experience with big data technologies (e.g., Spark, Hadoop), and familiarity with MLOps tools (e.g., Kubeflow, MLflow, Docker).
• Business Immersion: Proven ability to immerse in operations to acquire deep domain expertise, thinking like an insider to translate seamlessly between business needs and engineering solutions.
• Full-Stack Agility: Ability to build complete applications rapidly across any technology stack, selecting the right tools to balance technical debt with delivery speed.
• Data Strategy & Integration: Experience architecting scalable data strategies across diverse teams and complex enterprise landscapes. This includes defining data governance policies, mastering data quality frameworks, building robust integration solutions for undocumented schemas and disparate systems, and driving the adoption of modern data warehousing and lakehouse architectures.
• AI Evaluation & Governance: Experience leading AI governance initiatives, creating evaluation standards, and training teams on rigorous AI verification and risk management.
• Rapid Prototyping: Proficiency in leading rapid delivery initiatives using a prototype-first approach to validate solutions quickly before scaling.
• Problem Discovery: A track record of seeking out undefined problems, embedding with users to discover latent needs, and turning ambiguity into clear problem statements.
  
  

Who you are

• Polymath Oriented: You bridge gaps between engineering, design, business, and science, rapidly immersing yourself in new domains to speak the language of the business.
• Curious Explorer: You seek out ambiguity rather than avoiding it, driving team curiosity through challenging questions and creating an environment that encourages experimentation.
• Outcome Owner: You drive an accountability culture focused on business impact rather than just deliverables, owning relationships and making trade-offs between custom solutions and generalizable work.
• Systems Thinker: You map complex system interactions across technical and business domains, anticipating cascading effects and understanding how technology changes impact operations.
• Precise Communicator: You translate seamlessly between technical and business language, ensuring requirements are clear enough to enable AI generation and facilitate productive discussions with stakeholders.
• Problem Discoverer: You embed with users to discover latent needs, turning ambiguity into clear problem statements rather than waiting for defined tasks.

What Appnovation Offers 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

About Backblaze

Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe.

But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us.

About the Role

We are seeking a Senior Backend Engineer for our Foundation Services Team. This team focuses on the essential services that power identity, access, and integrations. In this role, you will build and maintain highly available APIs designed to manage the orchestration of users and resources at scale.

We are looking for an engineer who is eager to use the latest AI tools to streamline architectural design, accelerate coding, and enhance system security. We value versatility and are looking for someone comfortable designing and working across any technology as our needs evolve.

Responsibilities:

• Design and develop highly scalable, performant services and APIs in a Java ecosystem.
• Implement code for authentication, account management, and external partner integrations.
• Integrate AI coding agents and frameworks into your workflow to accelerate development, refactor legacy components, and improve code quality.
• Own the full technical lifecycle, including estimation, design, development, and delivery.
• Collaborate across the organization to ensure project success. You will often engage with QA, Finance, Marketing, Product Management, Support, and Security to gather necessary context and requirements to implement solutions correctly.
• Diagnose complex issues and maintain the stability of large-scale systems.
• Collaborate across functional teams and provide technical leadership to foster engineering excellence.

Required Qualifications:

• A strong track record of proven project deliveries and successfully shipping complex software systems.
• 7+ years of experience with Java and a deep understanding of backend architecture.
• Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) into your engineering workflow.
• Experience with modern data, containerization, and observability:

- Vitess, Cassandra, and Redis backend development.
- Docker and container-based environments.
- Prometheus, Grafana, and OpenSearch.

• Comfortable working in a cross-platform environment (we develop on MacBooks for software that runs on Linux).
• Solid understanding of HTTP principles and secure access best practices.
• A strong desire to learn and adapt to rapidly changing technologies and tools.

Why Backblaze

• Build secure software used by companies worldwide
• Work at the intersection of AI, data, and cloud storage
• Collaborate with experienced engineering, security, product, and QA teams
• Competitive compensation and benefits
• Remote-first culture supporting work-life balance

At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.

At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

#LATAM

 Technical Support Engineer 

Location: This is a 100% remote position and we are considering candidates from any major city in the USA

Armis is making a major dent in the cybersecurity market. Joining the Armis family means working with dedicated individuals on a mission to enable large organizations to benefit from the latest connected devices without fear of compromise from a cyber attack. Armis is the leading agentless device security platform purpose-built to protect the world of unmanaged and IoT devices - providing passive, real-time, and continuous asset inventory, risk management, and detection & response to prevent cyber attacks from disrupting and compromising a business.

The Technical Support Team is at the heart of impacting and ensuring clients use the Armis products effectively. Supporting our customers to solve their challenging technical security problems is critical to achieving our mission. The technical support team does this by working with our customers to offer professional and proactive deescalation for their complex technical issues. The team collaborates and works hand in hand with the Operations, R&D teams, Solution Architects, Product, Customer Success, and other teams to ensure seamless onboarding, deployment, and on-going development of our customers.

Responsibilities:

Our Technical Support Engineer will provide second level support with a focus on our US based customers. As part of our Engineers based in the US, you’ll help pave the way as the knowledge source to our growing customer base, as you will work to resolve our customers’ most pressing technical issues. You will apply your creativity and innovative ideas that best support and create a lasting experience for our customers.

As part of your day-to-day, you’ll take ownership of customer cases and troubleshoot customers’ issues. You will support our customers in making the most of our products. You will be taking on projects either within/with other teams to create a company-wide impact.

Requirements:

• Must be a US Citizen
• At least 2 years of experience in a similar role
• Industry experience in Cyber Security, particularly network security or application security is required
• Experience with enterprise customer accounts is required 
• Technical networking knowledge in TCP/IP and the application layer
• Technical experience supporting Linux-based products
• Composing SQL queries and working with Databases
• Working with Docker/Kubernetes-based environments is preferred
• Experience with Scripting languages (Bash, Python or equivalent) is preferred
• BS degree in CS or equivalent is preferred
• Enjoy working with customers using excellent communication and problem-solving skills

Salary range guidance for this position is: $70,000-$100,000 per year.

Bonus and Pre IPO Equity

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

Location: This is a hybrid position based out of San Jose, Costa Rica. 2+ days a week in office.

Armis is making a major dent in the cybersecurity market. Joining the Armis family means working with dedicated individuals on a mission to enable large organizations to benefit from the latest connected devices without fear of compromise from a cyber attack. Armis is the leading agentless device security platform purpose-built to protect the world of unmanaged and IoT devices - providing passive, real-time, and continuous asset inventory, risk management, and detection & response to prevent cyber attacks from disrupting and compromising a business.

The Technical Support Team is at the heart of impacting and ensuring clients use the Armis products effectively. Supporting our customers to solve their challenging technical security problems is critical to achieving our mission. The technical support team does this by working with our customers to offer professional and proactive deescalation for their complex technical issues. The team collaborates and works hand in hand with the Operations, R&D teams, Solution Architects, Product, Customer Success, and other teams to ensure seamless onboarding, deployment, and on-going development of our customers.

Responsibilities:

Our Technical Support Engineer will provide second level support with a focus on our US based customers. As part of our Engineers based in the US, you’ll help pave the way as the knowledge source to our growing customer base, as you will work to resolve our customers’ most pressing technical issues. You will apply your creativity and innovative ideas that best support and create a lasting experience for our customers.

As part of your day-to-day, you’ll take ownership of customer cases and troubleshoot customers’ issues. You will support our customers in making the most of our products. You will be taking on projects either within/with other teams to create a company-wide impact.

Requirements:

• At least 2 years of experience in a similar role
• Industry experience in Cyber Security, particularly network security or application security is required
• Experience with enterprise customer accounts is required 
• Technical networking knowledge in TCP/IP and the application layer
• Technical experience supporting Linux-based products
• Composing SQL queries and working with Databases
• Working with Docker/Kubernetes-based environments is preferred
• Experience with Scripting languages (Bash, Python or equivalent) is preferred
• BS degree in CS or equivalent is preferred
• Enjoy working with customers using excellent communication and problem-solving skills
• Bonus: experience with ServiceNow