cloud data engineer

Blu Omega LLC

<div><div><b>Senior Data Engineer</b><br>
<b>Atlanta, GA / Hybrid</b><br>
<b>Clearance Level and/or eligibility Required</b><br>
</div><div>Blu Omega is seeking a Senior Data Engineer to support a federal program focused on data management and transformation. This role operates within a government environment and is responsible for designing and maintaining scalable data pipelines, data architecture, and infrastructure to support analytics and data science initiatives. The position requires extensive experience supporting data ecosystems, with a focus on providing analysis-ready solutions to inform leadership decisions.<br>
</div><div><b>Program Overview</b><br>
<b>Mission overview:</b> Supporting large-scale data modernization efforts within a government health agency.</div>
<div><br>
<b>Key Details</b><br>
<b>Location:</b> Atlanta, GA / Hybrid<br>
<b>Clearance:</b> Public Trust Eligibility<br>
<b>Work Authorization:</b> U.S. Citizenship or Permanent Residency is required as a precondition of employment.<br>
<b>Schedule: </b>Standard business hours; onsite 1-2 days per week</div>
<div><br>
<b>Responsibilities</b></div>
<ul><li>Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
</li><li>Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
</li><li>Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
</li><li>Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
</li><li>Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
</li><li>Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
</li><li>Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability
</li></ul><div><b>Required Qualifications</b></div>
<ul><li>8+ years of experience in data engineering, software engineering, or database architecture
</li><li>6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
</li><li>2+ years of experience with cloud data ecosystems like Azure Data Factory
</li><li>1+ years of experience with modern data processing frameworks like Databricks
</li><li>Experience integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
</li><li>Knowledge of relational and NoSQL databases, data modeling, and schema design
</li><li>Knowledge of data governance, security, and compliance principles for enterprise data environments
</li></ul><div><b>Preferred Qualifications</b></div>
<ul><li>Experience supporting key data engineering efforts in a government environment
</li><li>Experience collaborating with data scientists and analysts to define data models
</li><li>Knowledge of IT infrastructure practices and data access methodologies
</li><li>Knowledge of advanced data security practices, governance policies, and compliance frameworks
</li><li>Azure Data Engineer Associate certification
</li></ul><div><b>Compensation</b><br>
Salary Range: $150,000.00 - $165,000.00<br>
<i>Final compensation is based on technical skills, experience, education, certifications, and clearance.</i><br>
</div><div><b>Blu Omega Benefits &amp; Perks</b></div>
<ul><li>Medical, Dental, and Vision coverage through national providers
</li><li>401(k) with company match (eligible after 6 months; vesting applies)
</li><li>Company-paid Life and AD&amp;D insurance with additional voluntary options
</li><li>Short-term disability (company-paid) and long-term disability options
</li><li>Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
</li><li>Telehealth and virtual care options available through medical plans
</li><li>Pet insurance, legal services, and identity theft protection options
</li><li>Paid Time Off (PTO) for eligible employees
</li><li>Paid federal holidays for salaried employees
</li><li>Access to wellness programs, discounts, and lifestyle benefits
</li><li>Benefits eligibility and offerings may vary based on role, employment status, and program requirements.
</li></ul><div><b>Company Overview</b><br>
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments.<br>
<br>
We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams are experienced operating within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery.<br>
<br>
<b>Equal Opportunity Employer</b><br>
<i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.</i><br>
<i>
</i><br>
<i>#CJ #LI-Hybrid</i></div></div>

Senior Data Engineer (s)

Cognizant

Azure Databricks Administrator
<br><b>Location:</b> United States (Remote) About Cognizant
<br><b>Cognizant (Nasdaq:</b> CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a rapidly changing world. Together, we deliver digital solutions that drive measurable business outcomes across industries.
<br>At Cognizant, you'll work with industry-leading professionals, cutting-edge technologies, and some of the world's most recognized organizations while advancing your career in a collaborative and inclusive environment. Azure Databricks Administrator
<br>Cognizant is seeking a highly skilled Azure Databricks Administrator to join our growing Cloud, Data & AI practice. This role is responsible for the administration, governance, security, optimization, and operational support of enterprise-scale Azure Databricks environments.
<br>The ideal candidate will possess deep expertise in Azure Databricks, Unity Catalog, Azure networking, security, data governance, and platform operations. This individual will serve as a technical leader and trusted advisor, partnering with engineering, infrastructure, security, and operations teams to ensure a scalable, secure, and high-performing data platform. Work Model
<br>Remote - United States Responsibilities Azure Databricks Administration & Optimization
<br>Design, deploy, and administer Azure Databricks workspaces utilizing VNet injection, private endpoints, and secure cluster connectivity.
<br>Configure and maintain cluster policies, Databricks Runtime versions, autoscaling, and workload management standards.
<br>Optimize platform performance through cluster tuning, Spark configuration management, and Delta Lake best practices.
<br>Perform capacity planning and resource forecasting to support enterprise growth.
<br>Drive cost optimization initiatives including right-sizing, auto-termination policies, reserved instances, and spot instance utilization.
<br>Troubleshoot and resolve complex platform, cluster, job execution, and connectivity issues. Data Governance & Unity Catalog
<br>Design, implement, and administer Unity Catalog metastores, catalogs, schemas, external locations, and volumes.
<br>Establish and enforce fine-grained access controls across enterprise data assets.
<br>Support data lineage tracking, auditing, and governance requirements.
<br>Govern managed and external data assets while promoting best practices for data management. Security & Identity Management
<br>Integrate Azure Databricks with Microsoft Entra ID for authentication and Single Sign-On (SSO).
<br>Configure and manage SCIM provisioning for automated user and group lifecycle management.
<br>Implement secure secret management using Azure Key Vault-backed secret scopes.
<br>Define and manage access controls across Unity Catalog, Databricks workspaces, and Azure Data Lake Storage Gen2.
<br>Support security audits, compliance reviews, and governance initiatives. Networking & Connectivity
<br>Architect and maintain secure networking solutions utilizing VNets, NSGs, private endpoints, and firewall controls.
<br>Ensure secure connectivity between Databricks, Azure services, and on-premises environments.
<br>Manage DNS resolution, routing configurations, and network security best practices. Data Integration & Automation
<br>Design and implement Azure Data Factory (ADF) integration patterns with Azure Databricks.
<br>Support orchestration of enterprise data pipelines and notebook execution workflows.
<br>Partner with DevOps teams to establish and maintain CI/CD pipelines.
<br>Utilize Databricks REST APIs and automation frameworks to streamline platform administration. Storage Management
<br>Provide guidance on Azure Data Lake Storage Gen2 architecture and configuration.
<br>Implement secure access patterns using service principals, credential passthrough, and Microsoft Entra ID integration.
<br>Troubleshoot storage connectivity and access management issues. Operations & Platform Reliability
<br>Implement monitoring and alerting using Azure Monitor, Log Analytics, and Databricks native monitoring tools.
<br>Monitor service availability, platform health, resource utilization, and job performance.
<br>Support disaster recovery, business continuity, and resiliency planning efforts.
<br>Plan and coordinate Databricks Runtime upgrades and platform maintenance activities.
<br>Communicate service impacts and operational risks to stakeholders. Documentation & Enablement
<br>Develop and maintain architecture documentation, diagrams, standards, and operational runbooks.
<br>Establish best practices for platform governance, security, cost optimization, and performance management.
<br>Provide technical guidance, training, and knowledge transfer to internal teams. Stakeholder Engagement
<br>Collaborate with data engineering, data science, infrastructure, networking, security, and operations teams.
<br>Act as the subject matter expert for Databricks platform administration and governance.
<br>Participate in architecture reviews and provide technical leadership for strategic initiatives. Required Qualifications
<br>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience.
<br>5+ years of experience supporting cloud-based data and analytics platforms.
<br>Hands-on experience administering Azure Databricks in enterprise environments.
<br><br>
<b>Strong experience with:</b><br>
Azure Databricks
<br>Azure Data Factory (ADF)
<br>Azure Data Lake Storage Gen2 (ADLS Gen2)
<br>Microsoft Entra ID
<br>Azure Key Vault
<br>Azure Networking (VNets, NSGs, Private Endpoints)
<br>Azure Monitor and Log Analytics
<br>Experience implementing and managing Unity Catalog.
<br>Strong understanding of cloud security, RBAC, IAM, encryption, and governance principles.
<br>Experience with SCIM-based identity provisioning.
<br>Proficiency in Python, SQL, PowerShell, and Azure CLI.
<br>Experience supporting CI/CD initiatives using Azure DevOps, GitHub Actions, or similar platforms.
<br>Excellent analytical, troubleshooting, and problem-solving skills.
<br>Strong verbal and written communication skills. Preferred Qualifications
<br>Experience supporting large-scale enterprise Data & AI platforms.
<br>Knowledge of Spark architecture, Delta Lake optimization, and Databricks APIs.
<br>Experience with Infrastructure as Code (IaC) tools and cloud automation frameworks.
<br>Experience working within regulated or highly governed environments.
<br><b>Microsoft Certified:</b> Azure Solutions Architect Expert.
<br>Databricks Certified Data Engineer Associate or Professional certification. Salary and Other Compensation
<br>Applications will be accepted until 08/30/2026 .
<br>The annual salary for this position is between $110,000 and $160,000 , depending on experience, qualifications, geographic location, and other factors permitted by law.
<br>This position is also eligible for Cognizant's discretionary annual incentive compensation program, based on performance and subject to the terms of the applicable plan. Benefits
<br>Cognizant offers a comprehensive benefits package that includes:
<br>Medical, Dental, Vision, and Life Insurance
<br>Short-Term and Long-Term Disability Coverage
<br>401(k) Plan with Company Contributions
<br>Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
<br>Paid Time Off (PTO), Company Holidays, and Sick Leave
<br>Paid Parental Leave
<br>Employee Assistance Program (EAP)
<br>Professional Development and Certification Opportunities
<br>Employee Wellness and Recognition Programs
<br>Benefits are subject to eligibility requirements and may vary by location and employment status. Why Choose Cognizant?
<br>Opportunity to work with leading cloud, data, and AI technologies.
<br>Exposure to enterprise-scale digital transformation initiatives.
<br>Continuous learning and professional growth opportunities.
<br>Collaborative, diverse, and inclusive culture.
<br>Flexible remote work environment. Equal Opportunity Employer
<br>Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.
<br>If you require a reasonable accommodation to search for a job opening or submit an application, please contact Cognizant's recruiting team for assistance.

Azure Databricks Admin

Capgemini

<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><h2 class="jobSectionHeader"><b>Job Role</b></h2>
</div><div><p><b>Role: Platform Engineering &amp; Developer (Devops)</b></p>
<p><b>Location: Charlotte, NC</b></p>
<p><b>Duration: Fulltime</b></p><br>
<p></p><p><b>Job Summary</b></p>
<p>The project team is building a platform to unify data pipeline execution across the enterprise and leading greenfield platform that requires for engineer roles on the team a strong understanding of APIs, Python, Sparkflow, Docket/K8s, Automated CI/CD with Github Actions or other tools, composable services, data governance and distributed systems. The goal is to turn complex systems into clean, reusable services via Python.</p><br>
<p></p><p><b>Role Overview:</b></p>
<p>Seeking an experienced Software Engineer to build and enhance enterprise platform capabilities that improve developer productivity, software delivery, and engineering efficiency. The ideal candidate will drive platform adoption through reusable solutions, automation, and developer enablement initiatives.</p><br>
<p></p><p><b>Key Responsibilities &amp; Qualifications</b></p>
<ul><li>Design and develop scalable platform solutions, reusable frameworks, accelerators, and engineering tools.</li>
<li>Build self-service capabilities and automation to improve software development lifecycle efficiency.</li>
<li>Develop reference architectures, integration patterns, technical standards, and best practices.</li>
<li>Create and maintain technical documentation, onboarding guides, and developer enablement assets.</li>
<li>Partner with engineering teams to drive platform adoption and continuous improvement.</li>
<li>Provide technical leadership, mentoring, and knowledge-sharing across teams.</li>
<li>Strong experience in Platform Engineering and Developer Experience (DevEx).</li>
<li>Expertise in Internal Developer Platforms, Developer Productivity Engineering, and Software Engineering Enablement.</li>
<li>Experience with enterprise integration architecture and platform governance.</li>
<li>Strong programming experience in Python, Java, or similar languages.</li>
<li>Experience with APIs, Microservices, CI/CD, Cloud Platforms, Containers, and Infrastructure as Code.</li>
Excellent communication, collaboration, and stakeholder management skills.<br>
<li>
<br>
<br>
</li></ul></div></div></div><p></p><p>The base compensation range for this role in the posted location is: $70000 - $85000</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><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> 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><b>Important Notice:</b> 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><br>
<p></p><p><b>Disclaimers</b></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></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></div></div></div></div><p></p>

Platform Engineering & Developer (Devops)

Booz Allen Hamilton

<div>AL/ML Engineer, Lead<p><b>
The Opportunity:</b></p><p>
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.</p><p></p><p>
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.</p><p></p><p>
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.</p><p></p><p><b>
What You'll Work On:</b></p><ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in CS, Engineering, or Data Science</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul><p></p><p><b>
Vetting:</b>
</p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AL/ML Engineer, Lead

Reliable Forklift Sales

<p><strong>Job Overview</strong><br /><br />Reliable Forklift Sales is a leading distributor of machinery and equipment, specialising in the sales, rentals, and service of forklifts and other material handling products. With a strong presence across North America, we are renowned for our commitment to excellent customer support and our comprehensive equipment offerings. We are currently seeking a talented and self-motivated <strong>Remote Software Engineer</strong> to join our team on a <strong>full-time</strong> basis. The successful candidate will play a crucial role in designing, developing, and maintaining the software solutions that drive our business forward, helping us to continue providing exceptional service to our diverse industrial clients.<br /><br /><strong>Responsibilities</strong><br /><br />* Design, develop, and maintain robust and scalable software applications that support our core business operations.<br />* Collaborate with cross-functional teams, including sales and operations, to analyse requirements and translate business needs into technical solutions.<br />* Write clean, efficient, and well-documented code that adheres to industry best practices.<br />* Troubleshoot, debug, and upgrade existing systems to ensure optimal performance and reliability.<br />* Participate fully in the entire software development lifecycle, from initial concept and design through to deployment and support.<br />* Develop and maintain technical documentation to ensure systems are well-understood and maintainable.<br />* Stay current with emerging technologies and propose new solutions to enhance our software portfolio.<br /><br /><strong>Qualifications</strong><br /><br />* Proven experience working as a Software Engineer in a professional environment.<br />* Strong proficiency in modern programming languages such as Python, Java, C#, or JavaScript.<br />* Solid experience with relational and non-relational database technologies.<br />* A comprehensive understanding of software development principles, design patterns, and best practices.<br />* Excellent analytical and problem-solving skills with a high degree of attention to detail.<br />* The ability to work independently and manage time effectively in a remote setting.<br />* Strong verbal and written communication skills, with an ability to articulate complex technical concepts clearly.<br />* A Bachelor's degree in Computer Science, Engineering, or a related field is desirable.<br />* Experience with cloud platforms (e.g., AWS, Azure) is considered an advantage.<br /><br /><strong>Benefits</strong><br /><br />* A competitive hourly wage of <strong>$30 - $65 USD</strong>, commensurate with experience.<br />* A fully remote position, offering flexibility and an excellent work-life balance.<br />* The opportunity to work on meaningful projects that have a direct impact on the company's success.<br />* A supportive and collaborative team environment that encourages continuous learning and professional development.</p>

Remote Software Engineer

U.S. Bank

<p></p><div><p>At U.S. Bank, we&rsquo;re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at&mdash;all from Day One.</p><p></p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><p></p><div><div><p>
Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we&rsquo;re one of the country&rsquo;s most respected, innovative, ethical and successful financial institutions. We&rsquo;re looking for people who want more than just a job &ndash; they want to make a difference! U.S. Bank is seeking a <b>Platform Engineer</b> who will contribute toward the success of our technology initiatives as part of our enterprise API, AI, and platform engineering transformation journey.</p></div><p></p><div><p><b>
About the Team</b></p></div><div><p>
The Platform Engineering team designs, builds, and operates secure, compliant, and scalable <b>API, AI, and cloud-native platforms</b> that power digital services across the organization. We function as a <b>platform engineering organization</b>, enabling domain teams to accelerate delivery through <b>self-service infrastructure, strong governance, and automation-first design</b>.</p></div><div><p>
We partner closely with <b>Cloud Engineering, IAM, Information Security, Networking, and FinOps teams</b> to ensure our platforms meet regulatory expectations while delivering a high-quality developer experience. Our mission is to enable <b>secure, standardized, and high-performance platform ecosystems</b> across hybrid and multi-cloud environments while enforcing enterprise standards through automation and policy-driven controls.</p></div><p></p><div><p><b><br>
Job Responsibilities</b></p></div><div><ul><li><p>
Design, build, and operate the <b>enterprise API and AI platform</b> supporting multiple business domains (Finance, HR, Supply Chain)</p></li></ul></div><div><ul><li><p>
Own the <b>API and AI gateway platform lifecycle</b>, including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery</p></li></ul></div><div><ul><li><p>
Develop, deploy, and manage <b>API proxies, shared flows, and gateway policies</b> to enable secure and scalable API exposure</p></li></ul></div><div><ul><li><p>
Design and implement <b>multi-cloud gateway architectures</b> leveraging Apigee, AWS API Gateway, and Azure API Management</p></li></ul></div><div><ul><li><p>
Implement <b>secure network connectivity</b>, including Azure Private Link, private endpoints, Private DNS Zones, and network policy enforcement</p></li></ul></div><div><ul><li><p>
Develop and maintain <b>Terraform modules</b> to automate provisioning and lifecycle management of API gateway and platform resources</p></li></ul></div><div><ul><li><p>
Enable <b>self-service platform consumption</b> through validated YAML manifests and automated deployments via CI/CD pipelines (e.g., Shield CI/CD)</p></li></ul></div><div><ul><li><p>
Integrate platform and gateway capabilities with <b>Entra ID (Azure AD)</b> using SAML SSO, SCIM provisioning, and enterprise RBAC patterns</p></li></ul></div><div><ul><li><p>
Manage <b>service authentication, secrets, and key rotation</b> using HashiCorp Vault and Azure Key Vault</p></li></ul></div><div><ul><li><p>
Implement and enforce <b>API security controls</b>, including OAuth 2.0, JWT, API keys, mTLS, and threat protection policies</p></li></ul></div><div><ul><li><p>
Enforce <b>security and compliance controls</b>, including audit logging, policy-as-code, tagging, access controls, and governance standards</p></li></ul></div></div><div><div><ul><li><p>
Embed <b>infrastructure and</b><b> </b><b>supply-chain</b><b> </b><b>security scanning</b> into CI/CD pipelines.</p></li></ul></div><div><ul><li><p>
Design and implement <b>GraphQL</b><b> </b><b>gateway architectures</b> for backend orchestration and modern API consumption patterns</p></li></ul></div><div><ul><li><p>
Design for <b>resiliency and cost efficiency</b>, including resource optimization, capacity planning, cost allocation, and chargeback models</p></li></ul></div><div><ul><li><p>
Own <b>cross-region disaster recovery strategies</b>, replication design, and RPO/RTO adherence for platform services</p></li></ul></div><div><ul><li><p>
Implement <b>observability and monitoring</b> using tools such as Prometheus, Grafana, Splunk, Datadog, and AppDynamics</p></li></ul></div><div><ul><li><p>
Lead <b>incident response, troubleshooting, and root cause analysis (RCA)</b> for platform and gateway-related issues</p></li></ul></div><div><ul><li><p>
Govern <b>secure data and API sharing patterns</b>, ensuring proper access controls, auditing, and usage monitoring</p></li></ul></div><div><ul><li><p>
Partner with Cloud, IAM, Security, Networking, and FinOps teams to ensure alignment with <b>enterprise architecture and regulatory requirements</b></p></li></ul></div><div><ul><li><p>
Provide <b>technical leadership and mentorship</b> to engineering teams and drive platform adoption and best practices</p></li></ul></div><p></p><div><p><b><br>
Basic Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree, or equivalent work experience</p></li></ul></div><div><ul><li><p>
Six to eight years of relevant experience</p></li></ul><p></p><div><div><p><b>
Preferred Skills &amp; Experience</b></p></div><div><ul><li><p>
7+ years of experience in <b>platform engineering, API gateway engineering, or cloud infrastructure</b></p></li></ul></div><div><ul><li><p>
Strong hands-on expertise with <b>Apigee (OPDK, Hybrid)</b> including <b>platform architecture, proxy development, deployment, and troubleshooting</b></p></li></ul></div><div><ul><li><p>
Proven experience in <b>enterprise API gateway engineering</b>, including:</p></li></ul></div></div><div><div><ul><li><p>
API proxy lifecycle (design, build, deploy, operate)</p></li></ul></div><div><ul><li><p>
Traffic management, mediation, transformation, caching, and analytics</p></li></ul></div><div><ul><li><p>
Gateway performance tuning and high-throughput optimization</p></li></ul></div><div><ul><li><p>
Strong <b>systems engineering / systems administration background</b>, including:</p></li></ul></div><div><ul><li><p>
Linux/Unix system administration</p></li></ul></div><div><ul><li><p>
Networking fundamentals (DNS, TCP/IP, load balancing, TLS, firewalls)</p></li></ul></div><div><ul><li><p>
Troubleshooting at OS, network, and application layers</p></li></ul></div><div><ul><li><p>
Experience operating and supporting <b>large-scale distributed systems and platforms in production environments</b></p></li></ul></div><div><ul><li><p>
Hands-on experience with <b>Apigee platform installation, configuration, upgrades, and operations</b> (OPDK or Hybrid)</p></li></ul></div><div><ul><li><p>
Deep understanding of <b>API security standards</b>, including OAuth 2.0, JWT, mTLS, API key management, and secure token flows</p></li></ul></div><div><ul><li><p>
Experience with <b>Kubernetes platforms (EKS, AKS, GKE)</b> and containerized workloads</p></li></ul></div><div><ul><li><p>
Strong experience building and maintaining <b>CI/CD pipelines for platform and API deployments</b></p></li></ul></div><div><ul><li><p>
Experience with <b>Infrastructure-as-Code (Terraform, Helm, Ansible)</b> for provisioning and managing platform resources</p></li></ul></div><div><ul><li><p>
Experience integrating platforms with <b>enterprise identity providers</b> (Entra ID / Azure AD, SAML, RBAC)</p></li></ul></div><div><ul><li><p>
Hands-on experience with <b>secrets management</b> (HashiCorp Vault, Azure Key Vault)</p></li></ul></div><div><ul><li><p>
Strong understanding of <b>networking architecture</b>, including private connectivity, ingress, reverse proxies, and gateway integration patterns</p></li></ul></div><div><ul><li><p>
Experience with <b>observability and monitoring tools</b> (Prometheus, Grafana, Splunk, Datadog, ELK)</p></li></ul></div><div><ul><li><p>
Strong troubleshooting and debugging skills across <b>API gateways, Kubernetes, networking, and backend integrations</b></p></li></ul></div><div><ul><li><p>
Ability to work across <b>development, platform, and operations domains</b>, bridging gaps between application and infrastructure teams</p></li></ul></div><div><ul><li><p>
Experience with WAF / Akamai platform Integration with Gateways</p></li></ul></div></div><div><div><ul><li><p>
Hands-on experience designing and implementing <b>Azure Load Balancer, Azure Application Gateway, and Azure Front Door</b></p></li></ul></div><div><ul><li><p>
Strong experience with <b>AWS</b><b> </b><b>load</b><b> </b><b>balancing services</b>, including <b>ALB, NLB, and API Gateway integrations</b></p></li></ul></div><div><ul><li><p>
Experience configuring and troubleshooting <b>F5 BIG-IP (LTM/GTM)</b> for enterprise traffic management</p></li></ul></div><div><ul><li><p>
Deep understanding of <b>Layer 4 and Layer 7 load balancing patterns</b></p></li></ul></div><div><ul><li><p>
Experience with <b>SSL/TLS termination, certificate management, and</b><b> </b><b>mTLS</b><b> </b><b>configurations</b></p></li></ul></div><div><ul><li><p>
Knowledge of <b>DNS routing, traffic steering, failover, and global load balancing strategies</b></p></li></ul></div><div><ul><li><p>
Experience integrating <b>load balancers with API gateways (Apigee) and Kubernetes ingress controllers</b></p></li></ul></div><div><ul><li><p>
Hands-on experience troubleshooting <b>network latency, connection failures, TLS handshake issues, and routing problems across environments</b></p></li></ul></div><p></p><div><p><b><br>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience designing and operating <b>enterprise API platforms at scale (Apigee Hybrid / multi-cloud gateway architectures)</b></p></li></ul></div><div><ul><li><p>
Experience evaluating and implementing <b>AWS API Gateway, Azure API Management</b>, or other modern gateway solutions</p></li></ul></div><div><ul><li><p>
Experience designing or implementing <b>GraphQL</b><b> </b><b>gateway architectures or federated APIs</b></p></li></ul></div><div><ul><li><p>
Exposure to <b>AI / GenAI gateway platforms</b>, including secure access and model routing</p></li></ul></div><div><ul><li><p>
Experience working in <b>regulated environments</b> (financial services, healthcare, etc.)</p></li></ul></div><div><ul><li><p>
Familiarity with <b>DevOps and SRE practices</b>, including SLIs, SLOs, error budgets, and reliability engineering</p></li></ul></div><div><ul><li><p>
Knowledge of <b>Kubernetes networking, ingress controllers, and service mesh concepts</b></p></li></ul></div><div><ul><li><p>
Relevant certifications in <b>cloud platforms, Kubernetes, or API management technologies</b></p></li></ul></div><div><p>
 <b>***This role requires working from a U.S. Bank location three (3) or more days per week.***</b></p></div></div></div></div><p></p><p>
If there&rsquo;s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
</p><p></p><p><b>Benefits:</b></p><p>
Our approach to benefits and total rewards considers our team members&rsquo; whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:</p><ul><li><p>
Healthcare (medical, dental, vision)</p></li><li><p>
Basic term and optional term life insurance</p></li><li><p>
Short-term and long-term disability</p></li><li><p>
Pregnancy disability and parental leave</p></li><li><p>
401(k) and employer-funded retirement plan</p></li><li><p>
Paid vacation (from two to five weeks depending on salary grade and tenure)</p></li><li><p>
Up to 11 paid holiday opportunities</p></li><li><p>
Adoption assistance</p></li><li><p>
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law</p></li></ul><p></p><p>
Review our full benefits available by employment status here.
</p><p></p><p>U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.</p><p></p><p><b>
E-Verify</b></p><p>
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.</p><p></p>
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00<p></p><p>
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.</p><p></p><p>
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.</p><p></p><p><b>
Posting may be closed earlier due to high volume of applicants.</b></p></div>

Lead Software Engineer(Platform)

Workday

<div><p><b>Your work days are brighter here.<br>
</b></p><br>
<p>We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.<br>
</p><p></p><br>
<br>
<br>
<p><b>About the Team
</b></p>The Multi-cloud platform engineering team is growing fast to support the phenomenal growth in the number of Workday customers. We are looking for Senior Software Engineers to join our team. We want passionate developers who love technology, platform engineering, operations and want to make an impact.
<br>
<br>
We are the core team that supports the multi-cloud platform that enables Workday to run on the Public Cloud(AWS/GCP). Our services and tools will accelerate and ease the adoption of Workday&rsquo;s solution in our customer&rsquo;s business.
<br>
<br>
Our target users are consultants, internal Workday service teams and technical partners who set-up a new customer in the Workday application. A major task includes migrating data from their existing landscape into the Workday cloud.<br>
<br>
<p><b>About the Role<br>
</b></p><br>
<p>Plans, designs, develops and tests software systems or applications for software enhancements and new cloud-based products and internet related tools. Collaborate with peers to craft innovative technical solutions to meet client needs. Codes, tests, debugs, documents and implements software applications. Analyzes requirements, tests and integrates application components. Ensures that system improvements are successfully implemented. Analyzes, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked, or internet-related computer programs. Code may be used in commercial or end-user applications, such as materials management, financial management, HRIS, mobile apps or desktop applications products. Using current programming language and technologies, writes code, completes programming, and performs testing and debugging of applications. Completes documentation and procedures for installation and maintenance.
</p><p></p><p>Salary Range: $109,283 - $162,000<br>
</p><br>
<p><b>About You<br>
</b></p><br>
<p>Basic Qualifications
<br>
Master of Science degree or foreign degree equivalent in Computer Science, Engineering, Information Technology, or related field.
</p><p>Object-oriented design and development;
</p><p>Algorithms and data structures;
</p><p>Programming language such as Java, C# or C++; and
</p><p>Database and querying languages such as SQL.<br>
</p><p><br>
<b>Workday Pay Transparency Statement<br>
</b></p><br>
<p>Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here .<br>
</p><p></p>Primary Location: USA.GA.Atlanta<br>
<p></p><p><br>
<br>
<b>Our Approach to Flexible Work<br>
</b><br>
</p><p>Workday uses a hybrid Flex Work Model. Most roles require at least 50% in-person time each quarter in a Workday office or with customers, prospects, or partners, with specific expectations varying by role, team, country, and business needs.<br>
</p><br>
<p>Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.<br>
</p><br>
<p>Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
</p><p>Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.<br>
</p><br>
<p>Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.<br>
</p><br>
<p>If you require a reasonable accommodation, you should open a People Guide Request (current employees only), or you may email accommodations@workday.com, as far in advance as possible.<br>
</p><br>
<br>
<p><b>Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
</b></p><p>At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.<br>
</p><p></p><p>Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.<br>
</p><p></p><p>In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</p></div>

Sr Associate Software Development Engineer

Explore 65+ Cloud data engineer in Atlanta this July. Find roles across top companies and apply now to boost your career.