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cybersecurity engineer (multi-cloud expertise) Jobs in Atlanta

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data engineer - remote, usa

cloud data engineer

Capgemini

<div><div><div><p>Atlanta</p><div>
Senior GCP Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Description</div></div><div>
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div></div><div><div><div>
Location</div></div><div><p>
This job is based in Atlanta, GA and Nashville, TN requiring hybrid work participation.</p></div></div><div><div><div>
About the job you're considering</div></div><div><p>
Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform.
</p></div></div><div><div><div>Your role</div></div><div><p>
Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform.<br>
Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer.<br>
Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.<br>
Ensure data quality, validation, and adherence to data governance and security standards.<br>
Develop infrastructure as code using Terraform or equivalent tools.<br>
Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies.<br>
Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.<br>
Partner with business and technology stakeholders to translate technical designs into functional, efficient code.<br>
Act as a technical developer on cloud data modernization and GCP best practices.<br>
Support solution implementation, including testing, debugging, and production support.
</p></div></div><div><div><div>Your skills and experience</div></div><div><p>
Required: 5+ years of overall IT experience with 3+ years specifically in cloud data engineering.<br>
Required: Proven experience building and deploying GCP-based data pipelines.<br>
Background with large enterprise data programs across industries.<br>
Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow).<br>
Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL.<br>
Experience with CI/CD, Terraform, and DataOps practices.<br>
Exposure to AI/ML enablement on GCP (Vertex AI is a plus).<br>
Required: Google Professional Data Engineer Certification.<br>
Strong communication and stakeholder management abilities.<br>
Ability to explain technical concepts to technical and non-technical audiences.<br>
Experience working in global, distributed teams.<br>
Passion for innovation, engineering excellence</p></div></div></div><p>
The base compensation range for this role in the posted location is $76,200 to $ 187,740</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
428467-en_US</div></div><div><div>
Posted on</div><div>
27 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Senior GCP Data Engineer

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

Metas Solutions

<div><p><b>Metas Solutions</b> has an <b>&quot;</b><b><i>opening&quot;</i></b> for a talented <b>Senior Data Engineer </b>based in <b>Atlanta</b>,<b> GA</b>. The ideal candidate must be able to work onsite in the Atlanta metro area and someone who's proficient in Databricks workspaces and Azure infrastructure. In this position, you'll drive the next generation of our analytics products by architecting and delivering end-to-end cloud analytics solutions. In a fully cloud-native environment, you'll partner with product managers, data scientists, software engineers, machine learning (ML) engineers and business analysts to enable and support a platform that powers personalized experiences and operational efficiency. You'll leverage automated model CI/CD, containerized deployments (Docker/Kubernetes), and real-time monitoring to ensure our ML systems are reliable, secure, and scalable.</p><p>
You will be responsible for the design, implementation, and maintenance of the Databricks workspaces and its associated Azure infrastructure. You will manage and optimize data and machine learning workloads, ensuring a reliable, secure, and scalable platform for business analysts, data engineering and data science teams.</p><p><b>
Responsibilities:</b></p><ul><li>
Lead the administration and governance framework of the platform regarding the security posture of the enterprise and its key stakeholders</li><li>
Design and implement automated solutions to streamline accounts and workspace administration</li><li>
Collaborate with cross-functional teams to understand business needs and translate them into ML solutions</li><li>
Mentor junior engineers and provide technical leadership in Databricks best practices and techniques</li><li>
Conduct cost and performance analysis of the various computes, and data assets within the platform</li><li>
Stay current with the latest advancements in Databricks SQL, Machine Learning and AI, and integrate new technologies and methods as applicable</li><li>
Engage in knowledge sharing and contribute to building a strong, collaborative team environment</li></ul><p><b>
Qualifications:</b></p><ul><li>
5+ years of experience with Databricks Account and Workspace Administration, including governance, configuration, and security management</li><li>
Experience with optimizing Databricks environments for cost efficiency, performance, and reliability</li><li>
Experience with developing and maintaining Databricks data pipelines using Autoloader, Delta Live Tables, and Databricks Workflows</li><li>
Experience with implementing MLOps solutions using MLflow 2.0/3.0, Serving Endpoints, and Model Registry in production environments</li><li>
Experience with Databricks SQL tools such as Queries and AI/BI Dashboards</li><li>
Experience with large datasets and distributed computing across cloud platforms (AWS, GCP, Azure), including Azure services like Entra ID, Data Factory, Key Vault, and Purview</li><li>
Knowledge of Unity Catalog Governance Architecture and enterprise data security best practices</li><li>
Possession of strong communication and documentation skills with the ability to clearly convey complex technical concepts to both technical and non-technical audiences</li><li>
Ability to work on-site in Atlanta, Georgia</li><li>
Master's degree in computer science, Computer Engineering, or related programs</li></ul><p><b>
Additional Qualifications:</b></p><ul><li>
Knowledge of Azure Cloud Networking concepts like VNET Injection</li><li>
Databricks Platform Administrator Certification</li><li>
Microsoft Certified: Azure Administrator Associate</li></ul><p><b>
Security Requirements:</b></p><ul><li>
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period</li><li>
Market competitive salary, commensurate with experience and education</li><li>
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities</li></ul><p>
</p><p><b><i>We are an Equal Opportunity Employer/Veterans/Disabled</i></b></p></div>

Equifax

<div><p>Equifax is seeking a driven Data Engineer to contribute to the creation of high-quality datasets that power our analytical capabilities. If you are a data enthusiast with a knack for databases and a talent for extracting meaningful insights from complex data, we encourage you to apply.
</p><p>You will partner with internal stakeholders to design and deliver analytical solutions in an automated and mature fashion.
</p><p>Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.
</p><p><b>This position is based out of our Atlanta, Georgia (OAC) office. We are required to be in the office 3 days/week - Tues/Wed/Thurs.
</b></p><p><b>This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
</b></p><p><b>This position is </b><b>not </b><b>open to third-party vendors or C2C.<br>
</b><br>
</p><p><b>What you will do
</b></p><ul><li><p>Integrate, consolidate, cleanse and structure data for use by our analysts.
</p></li><li><p>Analyze, understand and prepare complex and new data sources and incorporate them into project design.
</p></li><li><p>Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions.
</p></li><li><p>Create SQL and Python Pipelines that are optimized, efficient, repeatable and scalable.
</p></li><li><p>Perform design, creation, and interpretation of large and highly complex datasets.
</p></li><li><p>Utilize AI to accelerate development, optimize code, and create processing documentation for data pipelines.
</p></li><li><p>Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions.
</p></li><li><p>Develop and implement data quality checks and troubleshoot data anomalies.
</p></li><li><p>Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
</p></li></ul><p><b>What experience you will need
</b></p><ul><li><p>BS degree in a STEM major or equivalent discipline.
</p></li><li><p>5-7 years of experience in data related profession, with a minimum of 2 years as a data engineer.
</p></li><li><p>Extensive experience in SQL is a must, as well as strong knowledge of Python.
</p></li><li><p>Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects.
</p></li></ul><p><b>What could set you apart
</b></p><ul><li><p>A master's degree in a related field is a strong plus.
</p></li><li><p>Experience developing code using AI tools such as Gemini, Chat GPT, Claude, Co - Pilot, etc.
</p></li><li><p>Background in credit risk or finance.
</p></li><li><p>Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop).
</p></li><li><p>Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts (ie AirFlow), as well as basic knowledge of other cloud environments.
</p></li><li><p>Advanced Git or equivalent usage and CI/CD integration skills.
</p></li></ul><p>#LI-Hybrid
</p><p>#LI-KD1</p></div>

Data Engineer

NiCE Actimize

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><p><b>
Overview</b></p>
<p><b>
We are hiring a Senior Data Engineer to support our engineering data initiatives while collaborating with teams across SLC and Pune. The Senior Engineer will work closely with the Lead Engineer and key partners across the organization to execute critical components of our data strategy.</b></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop, optimize, and maintain data pipelines and data platform components.</li>
</ul><ul><li>Implement solutions supporting data federation, semantic modeling, and data governance frameworks.</li>
</ul><ul><li>Collaborate with Engineering, Analytics, and Product teams to deliver highquality data assets.</li>
</ul><ul><li>Apply AIdriven tools to accelerate development and improve data quality and productivity.</li>
</ul><ul><li>Investigate and adopt emerging data technologies aligned with organizational strategy.</li>
</ul><ul><li>Operate independently and deliver consistent results within distributed team environments.</li>
</ul>
<p><b>Required Technical Background</b></p><br>
<p></p>
<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience supporting or contributing to largescale data initiatives.</li>
</ul><ul><li>Strong selfdirection, problemsolving abilities, and eagerness to learn new technologies.</li>
</ul><ul><li>Solid communication and collaboration skills across remote teams.</li></ul></div><p></p><div><p><b><i><br>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

Senior Software Engineer,CX – Platform Data

Guidehouse

<div><p>Job Family:</p>
IT Cyber Security<p><br>
Travel Required:</p>
Up to 10%<p><br>
Clearance Required:</p>
None<p>
What You Will Do:</p><p>
We are seeking a highly skilled and experienced Cybersecurity Engineer with extensive expertise in multiple cloud environments, including AWS, Azure, and Google Cloud. The ideal candidate will have a strong background in cloud security, with the ability to design, implement, and manage security solutions across various cloud platforms. This role requires a proactive individual who can enhance our security posture through effective cloud security strategies and practices. Must have experience working in a Federal secured environment or enterprise.</p><p>
Key Responsibilities:</p><p>
Cloud Security Architecture</p><ul><li>
Design and implement robust security architectures for cloud environments (AWS, Azure, Google Cloud).</li><li>
Develop and enforce security policies, standards, and best practices for cloud deployments.</li><li>
Ensure compliance with industry standards and regulatory requirements.</li></ul><p>
Security Operations</p><ul><li>
Monitor and respond to security incidents and alerts in cloud environments.</li><li>
Conduct regular security assessments and audits to identify vulnerabilities and risks.</li><li>
Implement and manage security tools and technologies to enhance cloud security.</li></ul><p>
Identity and Access Management (IAM)</p><ul><li>
Design and manage IAM policies and roles to ensure secure access to cloud resources.</li><li>
Implement multi-factor authentication (MFA) and other access controls to protect sensitive data.</li><li>
Conduct regular reviews of IAM policies and access permissions.</li></ul><p>
Data Protection</p><ul><li>
Implement encryption and data protection mechanisms to safeguard data in transit and at rest.</li><li>
Develop and maintain data loss prevention (DLP) strategies for cloud environments.</li><li>
Ensure secure backup and recovery processes for critical data.</li></ul><p>
Automation and DevSecOps</p><ul><li>
Integrate security into the DevOps pipeline to ensure secure development and deployment practices.</li><li>
Develop and implement automation scripts and tools to enhance security operations.</li><li>
Collaborate with development and operations teams to promote a culture of security.</li></ul><p>
Threat Intelligence and Incident Response</p><ul><li>
Gather and analyze threat intelligence to stay informed about the latest threats and attack techniques.</li><li>
Develop and maintain incident response plans and playbooks for cloud environments.</li><li>
Conduct post-incident reviews to identify lessons learned and implement improvements.</li></ul><p><br>
What You Will Need:</p><ul><li>
US Citizenship required, due to nature of client engagement</li><li>
Bachelor's degree from an accredited university in Computer Science, Information Security, IT Systems Engineering or a related field AND Eight (8+) plus years of post-graduation work experience in cybersecurity, with a focus on cloud security; Or Master's degree from an accredited university in Computer Science, Information Security, IT Systems Engineering or a related field AND Six (6+) plus years of post-graduation work experience in cybersecurity, with a focus on cloud security.</li><li>
Note: Internships, Co-ops, Fellowships and graduate research work does not count towards years of experience.</li><li>
Strong knowledge of cloud security frameworks, standards, and best practices (e.g., CSA, NIST).</li><li>
Proficiency with cloud security tools and technologies (e.g., AWS Security Hub, Azure Security Center, Google Cloud Security Command Center).</li><li>
Excellent problem-solving skills and the ability to think like an attacker.</li><li>
Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li><li>
Ability to work independently and as part of a team in a fast-paced environment.</li><li>
Ability to travel as required.</li><li>
Currently reside in the contiguous United States.</li><li>
Ability to work in a Guidehouse Office or Client Office location as needed</li></ul><p>
What Would Be Nice To Have:</p><ul><li>
Cybersecurity certifications such as CISSP or Network+</li><li>
Previous experience implementing O365 security tools</li><li>
Management consulting experience with Federal, State or Local Government clients</li></ul><p>
#LI-DNI</p><p><br>
What We Offer:</p><p>
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.</p><p>
Benefits include:</p><ul><li><p>
Medical, Rx, Dental &amp; Vision Insurance</p></li><li><p>
Personal and Family Sick Time &amp; Company Paid Holidays</p></li><li><p>
Position may be eligible for a discretionary variable incentive bonus</p></li><li><p>
Parental Leave and Adoption Assistance</p></li><li><p>
401(k) Retirement Plan</p></li><li><p>
Basic Life &amp; Supplemental Life</p></li><li><p>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</p></li><li><p>
Short-Term &amp; Long-Term Disability</p></li><li><p>
Student Loan PayDown</p></li><li><p>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</p></li><li><p>
Skills Development &amp; Certifications</p></li><li><p>
Employee Referral Program</p></li><li><p>
Corporate Sponsored Events &amp; Community Outreach</p></li><li><p>
Emergency Back-Up Childcare Program</p></li><li><p>
Mobility Stipend</p></li></ul><p>
About Guidehouse</p><p>
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.</p><p>
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.</p><p>
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.</p><p>
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.</p><p>
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.</p><p>
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</p></div>

Cybersecurity Engineer (Multi-Cloud Expertise)

The Home Depot

<div><p>The Sr. Software Engineer on the Network Automation &amp; Traffic Management (NATM) team builds and improves the Go-based backend services that power Vantage and other traffic management platforms at The Home Depot. This work is conducted on Google Cloud Platform (GCP) and focuses on creating reliable, secure, and high-performance APIs that facilitate traffic movement between stores, data centers, and cloud systems.</p><p>
In this role, you will design and ship backend features, enhance existing services, and help maintain the health of our production systems. You will also mentor other engineers and contribute to technical decisions around architecture, observability, security, and operations.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiments when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul><p></p><p><b>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to the Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul><p></p><p><b>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p></p><p><b>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul><p></p><p><b>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
3&ndash;6+ years of software engineering experience, with a strong focus on backend development.</li><li>
2+ years of hands‑on Go (Golang) experience building production services, APIs, or tooling.</li><li>
Strong experience building and operating services on Google Cloud Platform (GCP), including one or more of:<ul><li>
GKE or other container orchestration</li><li>
Cloud Run or GCE</li><li>
Pub/Sub, Cloud SQL, Spanner, Bigtable, or similar managed services</li><li>
Cloud Logging / Cloud Monitoring (or equivalent observability stack)</li></ul></li><li>
Demonstrated experience designing and implementing RESTful or gRPC APIs and integrating with other backend services.</li><li>
Experience building cloud‑native, distributed systems with a focus on resilience, scalability, and performance (e.g., retries, timeouts, circuit breakers, caching, graceful degradation).</li><li>
Proficiency with CI/CD pipelines and automation tools (e.g., Cloud Build, Jenkins, Argo/Spinnaker, or similar), including automated testing and deployments.</li><li>
Strong experience with unit, integration, and performance testing for backend services.</li><li>
Solid understanding of version control practices and workflows (Git preferred).</li><li>
Ability to troubleshoot complex issues in distributed systems using logs, metrics, and traces.</li><li>
Strong communication and collaboration skills; ability to work effectively in a cross‑functional, platform‑oriented team and to mentor junior engineers.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience building or supporting networking/traffic management/service mesh platforms (e.g., Envoy, API Gateway, mTLS, service discovery, routing policies).</li><li>
Experience with security and identity patterns for services, such as OAuth2/OIDC, mTLS, JWT, SPIFFE/SPIRE, or similar frameworks for service‑to‑service authentication and authorization.</li><li>
Experience working with high‑availability, multi‑region systems and designing for SLOs, error budgets, and incident response.</li><li>
Experience contributing to or maintaining platforms used by other engineering teams (internal developer platforms, shared APIs, or self‑service tools).</li><li>
Familiarity with infrastructure‑as‑code and configuration tooling (e.g., Terraform, Helm, Kustomize).</li><li>
Prior experience in a platform / SRE / infrastructure team supporting other product teams is a plus.</li><li>
Experience with PCF migrations, domain management, or legacy proxy retirement is a plus but not required.</li></ul><p></p><p><b>
Minimum Education:</b></p><ul><li>
The knowledge, skills, and abilities are typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div><p></p>

Sr. Software Engineer, NATM (REMOTE)

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