aws cloud data engineer

big data systems engineer

data analyst

data scientist

devops engineering manager

data engineer

Shift4

<div><div><h2 class="jobSectionHeader">Overview</h2>
<div>
<div><div>Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.
</div>
</div></div></div>As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization's data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:
<ul>
<li>Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.</li>
<li>Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to</li>
<li>Diagnose and resolve issues with deployed systems (as part of level 3 support).</li>
<li>Become technically solid for the cloud data platform.</li>
<li>Evaluate and resolve technical debt, engage in platform modernization and build reliable features.</li>
<li>Recommend and implement best practices and standards for the cloud data platforms.</li>
</ul>
People and Leadership
<ul>
<li>Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.</li>
<li>Interface across multiple engineering teams and engineering groups working on various parts of the platform.</li>
<li>Mentor and develop junior team members.</li>
</ul>
Process
<ul>
<li>Ensure efficient operation of Scrum within the team.</li>
<li>Analyze and update tools and processes when required.</li>
<li>Measure key team metrics.</li>
</ul>
Qualifications
<ul>
<li>Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.</li>
<li>3+ years of experience in cloud data engineering.</li>
<li>2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.</li>
<li>1+ years working with ETL tools (MS SSIS or similar).</li>
<li>Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).</li>
<li>Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li>
</ul>
Additional experience that is a plus to have:
<ul>
<li>AWS Certified Data Engineer &ndash; Associate</li>
<li>AWS Certified Cloud Practitioner</li>
<li>AWS Certified AI Practitioner</li>
</ul>
<div>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.</div></div>

AWS Cloud Data Engineer

United Vein & Vascular Centers

<div>The Senior Data Engineer will report to the Senior Director of Data &amp; AI and will help ensure UVVC's implementation and use of technology meets the business needs and supports the company mission. As key member of the Data team, you'll collaborate with other leaders and their teams across the entire organization. In this part of your role, you will create opportunities for strategy, leverage and technology direction solutions across UVVC business units.

This position is open to remote candidates.

Data Pipeline Development &amp; Orchestration
<ul>
<li>Design, build, and optimize end-to-end ETL/ELT pipelines using Azure Data Factory and Databricks.</li>
<li>Develop robust ingestion frameworks for batch and streaming data from APIs, databases, SaaS platforms, and internal systems.</li>
<li>Create scalable and architecturally sound data transformation frameworks using Delta Lake (medallion architecture), Spark, and SQL, aligned with enterprise Lakehouse standards.</li>
</ul>
Implement CI/CD, parameterization, triggers, and pipeline automation best practices

Azure Data Platform Engineering
<ul>
<li>Architect, manage, and optimize enterprise data environments across ADLS, Azure SQL, and Databricks, including cluster design, cost governance, and workload isolation strategies.</li>
<li>Conduct performance tuning, cluster scaling, monitoring, and cloud cost optimization.</li>
<li>Implement DataOps practices including testing, version control, monitoring, and documentation.</li>
</ul>
 Data Quality, Governance &amp; Reliability
<ul>
<li>Build data validation, auditing, and error-handling frameworks to ensure accuracy and consistency.</li>
<li>Maintain documentation, naming standards, metadata structures, and governance best practices.</li>
<li>Troubleshoot complex data issues and deliver sustainable technical solutions.</li>
</ul>
Databricks Architecture &amp; Platform Ownership
<ul>
<li>Design and implement enterprise-grade Databricks Lakehouse architecture (Bronze, Silver, Gold layers).</li>
<li>Define and enforce data engineering standards, naming conventions, and architectural patterns across all pipelines.</li>
<li>Lead the architecture of Delta Lake design patterns, including partitioning, optimization, and data lifecycle management.</li>
<li>Establish scalable cluster strategies, job orchestration frameworks, and workspace organization.</li>
<li>Drive performance optimization strategies across large-scale distributed data workloads.</li>
<li>Own security and governance frameworks within Databricks (Unity Catalog, access controls, data lineage).</li>
<li>Evaluate and implement new Databricks capabilities and ensure alignment with enterprise data strategy.</li>
</ul>
Cross-Functional Collaboration
<ul>
<li>Work closely with clinical, finance, RCM, operations, and IT teams to understand business needs.</li>
<li>Provide technical guidance on data engineering patterns and platform capabilities.</li>
<li>Clearly communicate progress, risks, and technical decisions to stakeholders and leadership</li>
<li>Demonstrate and promote a work culture committed to UVVC's Core Values: Understanding, Nurturing, Ingenuity, Trust, Excellence, and Diversity.</li>
<li>Demonstrate behaviors that are consistent with UVVC's Standards of Conduct as outlined in our Employee Handbook.</li>
<li>Uphold confidentiality and compliance standards in accordance with UVVC policies, the Health Insurance Portability and Accountability Act (HIPAA), and other applicable laws and regulations. PHI is a top priority of our organization.</li>
</ul>
Qualifications
<ul>
<li>6+ years of hands-on data engineering experience.</li>
<li>Strong expertise in:</li>
<li>Azure Data Factory (ADF)&mdash;pipelines, mapping data flows, IR management.</li>
<li>Azure Databricks&mdash;notebooks, Spark, Delta Lake, workflow orchestration.</li>
<li>SQL&mdash;complex logic, performance optimization, analytics queries, stored procedures.</li>
<li>Proficiency in building scalable cloud ETL/ELT solutions.</li>
<li>Deep expertise in Lakehouse architecture (Medallion: Bronze/Silver/Gold) and Delta Lake optimization techniques.</li>
<li>Proven experience operating at a Databricks Architect level, designing and implementing enterprise-scale data platforms.</li>
<li>Strong understanding of Databricks Unity Catalog, data governance, and security models.</li>
<li>Experience defining data platform standards, frameworks, and best practices across teams.</li>
<li>Strong knowledge of data modeling, governance, and distributed processing.</li>
</ul>
 Highly Preferred (Major Plus)
<ul>
<li>Experience with AI/ML workflows, feature engineering, or model enablement.</li>
<li>Healthcare data experience (EHR/EMR, HL7, FHIR, claims, RCM).</li>
<li>Experience leading or mentoring teams on Databricks architecture and best practices.</li>
<li>Experience building multi-workspace or multi-environment Databricks strategies (Dev/Test/Prod).</li>
<li>CI/CD experience (Azure DevOps, GitHub Actions, Databricks Repos).</li>
<li>Python experience for ETL logic, automation, or ML support.</li>
<li>Familiarity with real-time processing (Structured Streaming) within Databricks</li>
</ul>
Experience with Azure Synapse or equivalent warehousing technologies<div> 

About us:
UVVC, is a leading provider of comprehensive vein and vascular care with over 45 clinics across Arizona, Chicago, Colorado, Florida, Georgia, Texas, and expanding. Our mission is to revolutionize vascular care by delivering an all-inclusive clinic experience that addresses every aspect of lower extremity vein, vascular, and wound conditions.

United Vein &amp; Vascular Centers (UVVC) is distinguished by its innovative approach to diagnosing and treating a variety of vascular conditions that affect the pelvis and lower extremities. With a team of committed specialists, cutting-edge medical technology, and a patient-centric approach that emphasizes minimally invasive procedures, UVVC ensures superior care and optimal outcomes for it's patients.</div></div>

Senior Data Engineer/ Architecture (ADF & Databricks)

<div>Title:
Big Data Systems Engineer
Belong, Connect, Grow, with KBR!
KBR&rsquo;s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center&rsquo;s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
Responsibilities:
<ul><li>The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs.</li><li>
As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.</li><li>
This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.</li><li>
You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.</li><li>
Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs</li><li>
Deploy CHEETAS within customer environments</li><li>
Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise</li><li>
Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity</li></ul>
Work Environment:
<ul><li>Location: Remote - The candidate can either work in one of KBR&rsquo;s facilities or work from home, with a stable internet connection.</li><li>
Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).</li><li>
Working Hours: Standard</li></ul>
Basic Qualifications/Knowledge:<ul><li>
Must have an active TS/SCI Security Clearance to be considered for this position.</li><li>
This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.</li><li>
Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)</li><li>
Previous experience must include five (5) years of hands-on experience in big data environments.</li><li>
Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.</li><li>
Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.</li><li>
Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.</li><li>
Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.</li><li>
Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.</li><li>
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.</li><li>
Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).</li><li>
Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.</li><li>
Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.</li><li>
Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.</li><li>
Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.</li><li>
Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.</li><li>
Excellent testing, debugging and problem-solving skills are required to be successful in this position.</li><li>
Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.</li><li>
Ability to speak and present findings in front of large groups.</li><li>
Ability to document and repeat procedures.</li><li>
This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.</li></ul>
Preferred Qualifications:
<ul><li>Experience working in government/defense labs and their computing restrictions.</li><li>
Experience working with major DoD acquisition programs.</li><li>
Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.</li><li>
Experience with working in distributed team environment.</li><li>
Ability to teach and mentor engineers with a variety of skill levels and backgrounds.</li><li>
Knowledge of DoD cybersecurity policies.</li></ul>
Basic Compensation:
$142,400 - $180,000 (For the Denver, CO Area only)
$148,900 - $200,000 (For the Los Angeles, CA Area Only)
$148,900 - $200,00 (For the Washington, DC Area Only)
The offered rate will be based on the selected candidate&rsquo;s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.
Belong, Connect and Grow at KBR 
 
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</div>

Big Data Systems Engineer

The DarkStar Group

<div>What You&rsquo;ll Be Doing:
We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments.

What You Have to Have:
<ul><li>Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience &amp; professional certifications/trainings/degree can be used in lieu of the years of experience requirement)
</li><li>Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions.
</li><li>Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
</li><li>Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
</li><li>Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
</li><li>Strong SQL skills and experience querying relational databases.
</li><li>Experience using Git-based version control platforms such as GitLab or GitHub.
</li><li>Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
</li><li>Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
</li><li>Ability to write clear, concise technical documentation related to software systems and automated workflows.
</li><li>Ability to operate independently at a senior level with limited oversight.
</li><li>Familiarity with USSOCOM and broader U.S. military organizational structures.
</li><li>Familiarity with common Intelligence Community (IC) data repositories.
</li></ul>#LI-GM1</div>

Data Scientist

Kforce Inc

<div>
 
 Responsibilities
 
 
 
 Kforce in Tampa, Florida is looking for Lead Analysts. Qualified candidates will be planning and executing a variety of methodologies as part of the concept stage in the overall project development of complex business intelligence tools or data warehouse and systems; Designing, building, and rolling out of high performing business intelligence tools, including design of related master data management sets and maps for mining in a cloud (AWS/GCP) environment; Researching, planning and developing project strategies involving data solutions using business intelligence tools and distributed systems; Creating logical and physical data models; Designing the architecture, analyze and develop mappings, transformations, mapplets, sessions and workflows for integrating the data residing using ETL tools; Coordinating the building of solutions using ETL, Python, Confluence, MongoDB, Teradata, Hive, Hadoop, and Netezza; Developing and implementing test validations of the business intelligence and data marts; Developing and executing business intelligence system level testing; Ensuring the optimization of the developed solutions; and producing project documentation. Salary: $78.00 to $90.00/hr.
 
 
 
 Requirements
 
 
 
 Requirements: Master's Degree or foreign degree equivalent in Computer Science, Computer Information Systems, Computer Applications, Information technology or Engineering and one years' experience in position or one years' experience in IT field (or Bachelor's Degree or foreign degree equivalent in Computer Science, Computer Information Systems, Computer Applications, Information technology or Engineering and five years experience in position or five years experience in IT field). Special requirements: Experience with ETL, Python, Confluence, MongoDB, Teradata, Hive, Hadoop, and Netezza. Up to 100% travel to various unanticipated domestic client sites in US required. Qualified candidates should apply online at: https://www.kforce.com/find-work/search-jobs and enter the Ref #16984 in Search field. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
 
 
 The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
 
 
 We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability &amp; ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
 
 
 Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
 
 
 This job is not eligible for bonuses, incentives or commissions.
 
 
 Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
 
 
 By clicking &ldquo;Apply Today&rdquo; you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
</div>

Lead Analysts

Lumen Resources

<div>
 
 We&rsquo;re looking for a Machine Learning Engineer who thrives in fast-moving, high-impact environments and can deploy ML models in production environments. (3 days onsite)
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning solutions that support data-driven products and intelligent applications.
 </li>
 <li>
 Build scalable pipelines to collect, process, and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Develop and optimize machine learning models for tasks such as classification, prediction, recommendation, or natural language processing.
 </li>
 <li>
 Integrate models into production systems through APIs, microservices, or cloud-based infrastructure.
 </li>
 <li>
 Collaborate with software engineers, data teams, and product stakeholders to deliver end-to-end AI solutions.
 </li>
 <li>
 Monitor model performance in production environments and implement improvements to ensure reliability, accuracy, and scalability.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Experience designing and deploying machine learning models in production environments.
 </li>
 <li>
 Strong programming skills in Python and familiarity with common machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
 </li>
 <li>
 Experience building data pipelines and working with large datasets using modern data processing tools.
 </li>
 <li>
 Understanding of model evaluation techniques, feature engineering, and performance optimization.
 </li>
 <li>
 Experience integrating machine learning systems into applications using APIs or cloud-based services.
 </li>
 <li>
 Familiarity with containerization, version control, and modern development workflows.
 </li>
 </ul>
 
 
 
 
 Join us at Lumen Resources, where your expertise will contribute to our growth, and you'll have the opportunity to have fun and thrive alongside a dynamic group of professionals. Apply today and become a part of our exciting journey!
 
 
 
 
 
 
 Lumen Resources:
 
 
 
 
 
 
 At Lumen Resources you will be partnering with trained recruiters who will guide you through discovering a brighter future. Our recruiters are concise and efficient in all interactions, hold exceptional communication, and will support resume writing and interview preparation, so you can land any position you want!
 
 
 
 
 
 If this role doesn&rsquo;t align with what you are looking for, we have a host of clients with roles that could be a match. Feel free to reach out to connect with one of our team members at info@lumenresources.com1
 
 
 
 
 
 Lumen Resources is an Equal Opportunity Employer
 
 
 Don't hesitate to get in touch with our team for more information
 
</div>

Machine Learning Engineer

ReliaQuest

<div>Why it&rsquo;s worth it:
Are you a passionate Software Engineer who has a proven track record of solving complex problems and being at the forefront of innovation? Pursuing a career at ReliaQuest will allow you to write code and manipulate data in ways that have never been done before, driving automation of threat detection and response for one of the world&rsquo;s fastest growing industries. You will lead the creation, testing, and deployment of cutting-edge security technology to enterprise customers across the globe. Above all else, this role will allow you to work and learn from some of the most talented people in the business as well as have a direct contribution to the growth and success of RQ.
The everyday hustle:<ul><li>
Research and develop creative solutions across a wide range of cutting-edge technologies to continuously evolve our platform, GreyMatter.</li><li>
Create REST API&rsquo;s and integrations between various products to improve and automate our customer&rsquo;s threat detection.</li><li>
Manage the continuous integration and deployment processes of complex technologies.</li><li>
Perform code reviews to ensure consistent improvement.</li><li>
Proactively automate and improve all stages of the software development lifecycle.</li><li>
Interface closely with various parts of the business, both internally and externally, to ensure all users are leveraging the product with ease and to its full potential.</li><li>
Provide support to other team members as well as cultivate a culture of constant collaboration.</li></ul>
Do you have what it takes?<ul><li>
0-1 Years of Software Development experience in the following languages and/or technologies: Python, JS, React, Angular, Java, C#, MySQL, Elastic Search or equivalent.</li></ul>
What makes you uncommon?<ul><li>
Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React).</li><li>
Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>
Solid understanding of unit testing, continuous integration and deployment practices.</li><li>
Experience with Agile Methodology.</li><li>
Higher education/relevant certifications.</li></ul></div>

Associate Software Engineer

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