Bul Rüya Kariyer

Permanent, full-time Los Angeles, CA (Westside), 5 days onsite $180,000 – $200,000 base salary plus bonus About The Client A global financial firm with offices across the US, Europe, the Middle East and Asia. The IT team is small and growing, and this is a visible seat that works directly with senior leadership. Role Overview You will be the senior technical owner of the firm's cloud, network and identity infrastructure. The environment is cloud-first with very little on-prem, and several projects are already under way. You will stay hands-on and personally build and operate the work. This is not a seat for someone who wants to manage or step back from the technology. Responsibilities Own the design, build and day-to-day operation of the firm's Azure environment, including networking, compute, storage, backup and disaster recovery Build and maintain infrastructure as code with Terraform and Azure DevOps, and support the firm's data platform, including Databricks Manage enterprise networking and security across offices, including Meraki and Palo Alto, VPN, wireless, routing, DNS and DHCP Administer identity and access with Entra ID, Okta and Active Directory, including Microsoft 365 integration Serve as the senior escalation point for complex infrastructure, cloud, network and identity issues Support security tooling and practices, including endpoint protection, vulnerability management, patching and hardening Automate repetitive work with PowerShell and other tooling, and document standards, runbooks and architecture Support and administer enterprise AI tools, and build automations, pipelines or agents that improve how IT delivers Support office moves, expansions and global connectivity Work with vendors and partners, and explain technical risks and recommendations clearly to non-technical leaders Skills And Experience 8+ years in infrastructure, systems or cloud engineering, including 3+ years as a senior technical lead on complex projects Deep hands-on Microsoft Azure experience, with Terraform or another infrastructure as code tool Strong identity experience with Entra ID and Okta, and Microsoft 365 administration Working knowledge of enterprise networking and firewalls, ideally Meraki and Palo Alto PowerShell scripting and automation Practical AI and automation experience. We want to hear what you have built, such as workflows, agents or pipelines, not just prompting Willing to do the work yourself, with the judgment to own a platform end to end Collaborative and mature, with composure in a high-demand environment Nice to Have Background in private equity, credit, financial services or a law firm Experience with Azure DevOps, Databricks, Intune, CrowdStrike, Defender or Veeam Azure Administrator or Azure Solutions Architect certification Interview Process: Two to three stages with technology leadership, finishing with an onsite conversation with a senior executive. The team wants someone in seat as soon as possible and moves quickly once they find the right person. Please note we are unable to offer employer sponsorship for this

Location/Address: 100% On-site in San Diego, CA Travel & Passport: 20%, CONUS and OCONUS Position Description We are urgently seeking an experienced Cloud Engineer III to design, build, integrate, and sustain secure cloud infrastructure and application runtime environments supporting mission-critical systems. This role will work across cloud compute, storage, containerization, Kubernetes orchestration, networking, monitoring, and security to provide reliable and scalable platforms for operational applications. The candidate will collaborate with software, platform, network, cybersecurity, and systems engineering teams to integrate commercial, government, and proprietary software into cohesive cloud-based environments. The role requires strong cloud and Linux fundamentals, hands-on troubleshooting capabilities, and the ability to solve complex infrastructure challenges while contributing to the continued evolution of scalable, automated, and secure cloud architectures. Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients. Duties & Responsibilities Design, deploy, configure, and sustain production cloud infrastructure supporting compute, storage, networking, containerized applications, and mission-critical workloads. Manage cloud compute and storage resources, including EC2 instances and block, file, and object storage, to maintain system availability, data persistence, performance, reliability, and efficient resource utilization. Deploy, administer, troubleshoot, and optimize containerized applications and microservices across Kubernetes environments, including container runtime, workload scheduling, service discovery, networking, ingress, and application availability. Implement and optimize dynamic resource management and scaling strategies across cloud and Kubernetes environments using workload demand, performance requirements, operational needs, and infrastructure cost considerations. Collaborate with engineering teams to design and implement application orchestration and runtime environments that integrate decoupled services, commercial products, Government Off-the-Shelf (GOTS) software, and proprietary applications into cohesive application workflows. Implement and maintain monitoring, logging, metrics, alerting, and health telemetry across cloud infrastructure, compute resources, containers, applications, and storage to support proactive system management and rapid troubleshooting. Configure and maintain cloud networking infrastructure, including VPCs, subnets, security groups, route tables, NACLs, load balancers, and supporting network services required for secure application connectivity. Partner with cybersecurity and engineering teams to implement operating system hardening, least-privilege access, IAM controls, secure network configurations, data protection requirements, and applicable security and compliance baselines. Automate infrastructure provisioning, configuration, deployment, maintenance, and operational tasks using Infrastructure as Code, scripting, CI/CD, and other automation technologies where appropriate. Provide technical guidance and troubleshooting support across cloud, Linux, Kubernetes, application, network, storage, and security environments while documenting architectures, configurations, procedures, and recommended solutions. Required Knowledge, Skills, Abilities, Education And Experience Strong experience in cloud engineering, infrastructure engineering, platform engineering, systems administration, DevOps, or related technical disciplines. Hands-on experience deploying, configuring, administering, troubleshooting, and sustaining cloud-based compute, storage, networking, and application infrastructure. Experience administering Linux-based systems and troubleshooting operating system, application, resource utilization, connectivity, and infrastructure performance issues. Experience deploying and supporting containerized applications using Docker, containerd, Kubernetes, or similar container and orchestration technologies. Understanding of Kubernetes architecture and operations, including workloads, Pods, Services, networking, ingress, resource management, scaling, and application deployment. Experience with cloud networking concepts, including virtual networks, subnets, routing, security groups, access controls, load balancing, and secure connectivity. Experience implementing or supporting monitoring, logging, metrics, alerting, and observability capabilities for infrastructure and application environments. Understanding of cloud security, IAM, least-privilege access, system hardening, data protection, network security, and secure configuration practices. Strong troubleshooting and analytical skills with the ability to diagnose complex issues spanning cloud infrastructure, Linux systems, containers, applications, storage, networking, and security. Strong written and verbal communication skills with the ability to collaborate with software, infrastructure, platform, networking, cybersecurity, program, and operational stakeholders. Preferred Skills And Experience Hands-on experience with AWS services including EC2, EBS, EFS, S3, VPCs, subnets, Security Groups, route tables, NACLs, IAM, Auto Scaling Groups, ALB/NLB, CloudWatch, and related infrastructure services. Experience administering AWS EKS or self-managed Kubernetes clusters and supporting containerized microservices in production environments. Experience implementing Kubernetes scaling and resource management using Horizontal Pod Autoscalers, Karpenter, Cluster Autoscaler, resource requests and limits, quotas, or similar capabilities. Experience with monitoring and observability technologies such as Amazon CloudWatch, Prometheus, Grafana, Datadog, OpenTelemetry, or similar platforms. Experience with Infrastructure as Code technologies such as Terraform, AWS CloudFormation, OpenTofu, or similar declarative provisioning tools. Experience integrating cloud and container deployments with CI/CD or GitOps technologies such as GitLab CI/CD, GitHub Actions, Jenkins, Argo CD, Flux, or similar platforms. Experience using Python, Bash, Go, or similar languages to automate infrastructure provisioning, administration, maintenance, monitoring, and health checks. Experience integrating GOTS, Commercial Off-the-Shelf (COTS), third-party, legacy, or proprietary software into modern cloud and containerized environments. Familiarity with AMI management, CIS Benchmarks, STIGs, vulnerability remediation, encryption, secrets management, and other security practices applicable to government cloud environments. Experience supporting distributed, hybrid cloud, or other complex application environments. Experience supporting government, defense, classified, or other security- and compliance-driven cloud environments. Education And Certification Requirements Bachelor's Degree or Equivalent Experience Current Security+ Certificate Citizenship And Clearance Requirements U.S. Citizenship required No dual citizenship TS/SCI Eligible, security clearance required Work Environment / Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. Typical office environment with no unusual hazards. The noise level in the work environment is usually moderate. Constant sitting while using the computer terminal. Constant use of sight abilities while reviewing documents. Constant use of speech/hearing abilities for communication. Occasional reaching, stooping, kneeling, or crouching may be required. Occasional lifting, up to 20 pounds. A constant state of mental alertness. Frequent work under deadlines. Job Classification Salary Range: $120,000–$200,000 Disclaimer This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

Job Description You belong to the top echelon of talent in your field. At one of the world's most premier financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Lead Software Engineer – AWS and Terraform at JPMorganChase within the Healthcare Payments team, you serve as a core technical contributor of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on experience delivering end-to-end solutions across system design, application development, testing, and operational stability for production systems Proven Infrastructure-as-Code skills with Terraform, including authoring/maintaining reusable modules, managing remote state and locking, and applying workspace/environment best practices Practical cloud-native engineering experience, including designing and operating workloads on AWS Strong AWS compute expertise (EC2, EKS, Lambda) and event-driven architecture and integration (EventBridge, SNS, SQS, Kinesis Data Stream), with an emphasis on performance, resiliency, and cost awareness Solid AWS networking knowledge (VPC, subnets, security groups, NACLs, Route 53, load balancers) to design secure and resilient architectures Experience with AWS storage and data platforms (S3, EBS; and databases such as RDS/Aurora/DynamoDB as applicable) to support varied application needs Strong automation and delivery capabilities, including CI/CD pipeline design, integrating Terraform into workflows, automated validation/testing (linting, plan approvals), and scripting (Python, Bash, or PowerShell) to streamline engineering processes Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Preferred Qualifications, Capabilities, And Skills Exposure to C# and .NET technologies FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

CLOUD SYSTEMS ENGINEER – Northern VA, US Must hold a Top Secret clearance We are looking for a Cloud Systems Engineer Competitive Salary + Unbeatable Benefits Package Summary Join a team dedicated to advancing critical national security missions through innovative software and systems engineering. You will support Signals Intelligence (SIGINT), secure communications, and advanced data processing systems. Working alongside multidisciplinary teams of engineers and scientists, you will contribute to mission-critical capabilities that enable the collection, processing, exploitation, and dissemination of intelligence across strategic and tactical environments. Required Skills: B.S. in Computer Science, Computer Engineering, or similar fields 5+ years of Systems Engineering experience Building and maintaining cloud native environments in AWS Linux AND scripting (Bash, Python) TOP SECRET Clearance – with SCI eligibility Desired Skills: Creating AWS services (EC2, VPC) Top Secret/SCI with Polygraph TO BE CONSIDERED... Please apply by clicking online or emailing me directly: leah.hutchens@searchability.com. I am happy to take calls outside of work hours if given notice. If I am unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also, feel free to connect with me on LinkedIn (https://www.linkedin.com/in/leah-hutchens-3b24a41b9/). I look forward to hearing from you! Key Skills: Cloud, AWS, Linux, Bash, Python

AWS Cloud Engineer - Active Top Secret / SCI clearance Role Description This full-time AWS Cloud Engineer role is an on-site position. The AWS Cloud Engineer will design, implement, and maintain cloud infrastructure on AWS, ensuring secure, scalable, and reliable systems that support business applications and services. Daily responsibilities include configuring and managing Linux-based environments, integrating databases with cloud services, and collaborating with software development teams on application deployment and automation. The role includes monitoring system performance, optimizing cost and resource utilization, implementing backup and recovery strategies, and contributing to infrastructure-as-code and CI/CD pipelines. The engineer will also document architectures, follow security and compliance best practices, and participate in troubleshooting and incident resolution. Qualifications Active Top Secret / SCI clearance Strong cloud computing expertise, including AWS services (e.g., EC2, RDS, S3, VPC, IAM) and experience designing secure, scalable architectures. Hands-on infrastructure skills covering networking, virtualization, system administration, and infrastructure-as-code tools (such as Terraform or CloudFormation). Software development capabilities with proficiency in at least one scripting or programming language (e.g., Python, Bash, JavaScript) to automate deployments and operations. Solid Linux experience, including system configuration, shell scripting, performance tuning, and security hardening. Database knowledge covering relational and/or NoSQL databases, including setup, integration with AWS services, backup, and performance optimization. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps practices is highly beneficial. Strong problem-solving skills, attention to detail, and ability to work collaboratively with cross-functional teams on-site. Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical experience. Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified SysOps Administrator) are a plus. Required U.S. Citizenship required Active Top Secret/SCI clearance

Position Description Join CGI Federal in supporting a federal law enforcement client's classified digital asset modernization initiative. This position requires an active Top Secret clearance and involves engineering work within secure cloud environments that enable the deployment of a next generation Digital Asset Management platform. We are seeking a technically strong, adaptable Cloud Engineer who can design, configure, and support cloud infrastructure components, quickly learn new technologies, and collaborate effectively with technical, security, and functional teams. This role is ideal for someone who thrives in secure, mission focused environments and enjoys solving complex challenges across cloud, data, integration, and operational layers. This position is located in Washington, DC or Fairfax, VA. Your future duties and responsibilities Support the deployment and configuration of cloud infrastructure for a Digital Asset Management solution across classified and unclassified cloud environments, following secure engineering standards. Build and maintain ingestion pipelines using structured file exchange workflows, automation, and monitoring, ensuring compliance with secure data transfer models and boundary controls. Implement and configure cloud resources such as VPCs, IAM roles, networking boundaries, logging, monitoring, encryption, and container services consistent with acceptable patterns and high side security requirements. Collaborate with functional, engineering, and security stakeholders to ensure cloud architecture aligns with mission, performance, and compliance needs. Assist with environment provisioning, multi account setups, secure network configurations, and adherence to enclave access rules. Troubleshoot and resolve issues related to cloud deployments, container execution, secure data transfers, and platform integrations across low side and high side environments. Participate in technical testing, including end to end validation, regression testing, and classified environment readiness checks. Create and maintain operational documentation, deployment procedures, cross domain workflow notes, and security driven configuration records. Support sustainment activities such as configuration updates, ingestion pipeline tuning, cloud optimization, and environment monitoring. Provide technical input during stakeholder workshops, engineering reviews, and classified planning sessions. Required Qualifications To Be Successful In This Role Minimum 3 years of experience in cloud engineering, infrastructure support, or related technical roles, preferably with hands‑on work in AWS environments. Active Top Secret clearance (required). Bachelor's degree in computer science, information systems, engineering, or a related field; equivalent experience considered. Hands on experience deploying or supporting solutions in AWS, including networking, IAM, monitoring, and automation. Understanding of cloud architecture principles including VPC design, access control, encryption, multi account structures, and secure cloud patterns. Experience supporting containerized workloads (ECS, EKS, Docker, etc.). Strong troubleshooting skills across infrastructure, data pipelines, and application environments. Ability to learn new technologies quickly and work effectively in evolving mission and technology landscapes. Strong communication skills and ability to collaborate across engineering, functional, and security teams. Ability to operate in structured environments with formal documentation, configuration management, and governance expectations. Desired qualifications/non essential skills required: Experience working in GovCloud, high side cloud environments, or secure enclaves. Familiarity with file based ingestion workflows, ETL/ELT pipelines, or structured data integration methods. Experience with infrastructure as code (Terraform, CloudFormation). Understanding of security frameworks, boundary protection, and compliance considerations in classified environments. Exposure to financial systems, digital assets, or accounting workflows (not required). Experience supporting multi tenant or multi agency deployments. Familiarity with CI/CD, AWS CodeCommit, secure container deployment pipelines, or DevSecOps models. Experience collaborating with cybersecurity, ISSO/ISSM teams, or supporting ATO processes. CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $72,500.00 $176,700.00. CGI Federal's benefits are offered to eligible professionals on their first day of employment to include: Competitive compensation Comprehensive insurance options Matching contributions through the 401(k) plan and the share purchase plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and Well being programs #CGIFederalJob DD1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

Zachary Piper Solutions is seeking a Senior Cloud Engineer to support a federal modernization program focused on delivering secure, scalable, and mission-critical cloud solutions for government customers. This position is on-site at Huntsville, AL . The Senior Cloud Engineer will lead cloud architecture, deployment, optimization, and sustainment efforts while supporting application modernization, DevSecOps initiatives, and enterprise cloud operations. Join a high-impact team driving cloud transformation efforts that support critical national security and federal modernization objectives. Responsibilities for the Senior Cloud Engineer include: Design, build, and optimize AWS cloud infrastructure supporting enterprise applications, data platforms, and modernization initiatives. Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, CloudFormation, or similar automation tools. Support CI/CD pipeline integration, cloud automation, monitoring, observability, and secure DevSecOps practices. Implement and maintain cloud security controls including IAM, encryption, network segmentation, compliance, and vulnerability management. Troubleshoot cloud infrastructure, networking, performance, and deployment issues while supporting development, testing, and migration teams. Required Qualifications for the Senior Cloud Engineer include: 8+ years of experience in cloud engineering, cloud operations, infrastructure engineering, or related technical environments. Hands-on experience with AWS cloud services, cloud networking, VPC design, load balancing, security controls, and automation technologies. Strong experience with Infrastructure-as-Code, CI/CD pipelines, cloud automation tools, troubleshooting, and technical documentation. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Active Top Secret Security Clearance. Compensation for the Senior Cloud Engineer include: Salary Range: $170,000 - $180,000 depending on experience Full Benefits Package: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Tuition Reimbursement, Sick Leave as required by law Keywords: Senior Cloud Engineer, Cloud Engineer, AWS, Amazon Web Services, Cloud Architecture, Cloud Infrastructure, Infrastructure as Code, IaC, Terraform, CloudFormation, DevSecOps, CI/CD, Cloud Automation, Cloud Security, IAM, VPC, Load Balancing, Kubernetes, Docker, Containerization, Microservices, Python, Bash, PowerShell, Federal Modernization, National Security, Top Secret Clearance, Cloud Operations, AWS Networking, Cloud Migration, Observability, Monitoring, Logging, Vulnerability Management, Security Compliance, Enterprise Cloud, Huntsville AL, Platform Engineering, Distributed Systems, Cloud Native Applications, Infrastructure Engineering, DevSecOps Engineer, AWS Engineer, Government Contracting

Zachary Piper Solutions is seeking a Senior Cloud Engineer to support a federal modernization program focused on delivering secure, scalable, and mission-critical cloud solutions for government customers. This position is on-site at Huntsville, AL . The Senior Cloud Engineer will lead cloud architecture, deployment, optimization, and sustainment efforts while supporting application modernization, DevSecOps initiatives, and enterprise cloud operations. Join a high-impact team driving cloud transformation efforts that support critical national security and federal modernization objectives. Responsibilities for the Senior Cloud Engineer include: Design, build, and optimize AWS cloud infrastructure supporting enterprise applications, data platforms, and modernization initiatives. Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, CloudFormation, or similar automation tools. Support CI/CD pipeline integration, cloud automation, monitoring, observability, and secure DevSecOps practices. Implement and maintain cloud security controls including IAM, encryption, network segmentation, compliance, and vulnerability management. Troubleshoot cloud infrastructure, networking, performance, and deployment issues while supporting development, testing, and migration teams. Required Qualifications for the Senior Cloud Engineer include: 8+ years of experience in cloud engineering, cloud operations, infrastructure engineering, or related technical environments. Hands-on experience with AWS cloud services, cloud networking, VPC design, load balancing, security controls, and automation technologies. Strong experience with Infrastructure-as-Code, CI/CD pipelines, cloud automation tools, troubleshooting, and technical documentation. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Active Top Secret Security Clearance. Compensation for the Senior Cloud Engineer include: Salary Range: $170,000 - $180,000 depending on experience Full Benefits Package: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Tuition Reimbursement, Sick Leave as required by law Keywords: Senior Cloud Engineer, Cloud Engineer, AWS, Amazon Web Services, Cloud Architecture, Cloud Infrastructure, Infrastructure as Code, IaC, Terraform, CloudFormation, DevSecOps, CI/CD, Cloud Automation, Cloud Security, IAM, VPC, Load Balancing, Kubernetes, Docker, Containerization, Microservices, Python, Bash, PowerShell, Federal Modernization, National Security, Top Secret Clearance, Cloud Operations, AWS Networking, Cloud Migration, Observability, Monitoring, Logging, Vulnerability Management, Security Compliance, Enterprise Cloud, Huntsville AL, Platform Engineering, Distributed Systems, Cloud Native Applications, Infrastructure Engineering, DevSecOps Engineer, AWS Engineer, Government Contracting

Job ID 2618408 Location Washington, DC, US Date Posted 2026-10-26 Category Information Technology Subcategory Cloud Comp Engr Schedule Full-Time Shift Day Job Travel Yes - 10% of the time Minimum Clearance Required Public_Trust Clearance Level Must Be Able to Obtain Public Trust Potential for Remote Work ORA_REMOTE Description We are seeking a skilled and experienced Cloud Engineer to design, implement, and manage our cloud infrastructure. The ideal candidate will be responsible for building scalable, reliable, and secure cloud solutions that support our organization's technical and business objectives. Key Responsibilities Design, deploy, and maintain cloud infrastructure on platforms such as AWS, Azure, or Google Cloud Platform (GCP) Develop and implement cloud architecture strategies aligned with business goals Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible Monitor cloud systems for performance, availability, and security Manage cloud costs and optimize resource utilization Implement and maintain CI/CD pipelines for application deployment Collaborate with development, DevOps, and security teams Ensure compliance with security policies and industry regulations Troubleshoot and resolve cloud infrastructure issues Maintain documentation for cloud architecture and processes Evaluate and recommend new cloud technologies and services Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field (4 years experience in lieu of degree) 5+ years of related experience Ability to obtain and maintain a Public Trust requiring U.S. Citizenship Hands-on experience with at least one major cloud provider (AWS, Azure, GCP) Proficiency in cloud platforms AWS | Azure | GCP Experience with containerization tools (Docker, Kubernetes) Strong knowledge of networking concepts (VPC, DNS, load balancing, firewalls) Proficiency in scripting languages Python, Bash, or PowerShell Experience with IaC tools Terraform, CloudFormation, Pulumi Familiarity with DevOps practices and CI/CD tools (Jenkins, GitHub Actions, GitLab CI) Understanding of security best practices in cloud environments Knowledge of database services (RDS, DynamoDB, Cloud SQL) Desired Cloud certifications such as AWS Certified Solutions Architect Microsoft Azure Administrator (AZ-104) Google Professional Cloud Architect Experience with microservices architecture Knowledge of serverless computing (AWS Lambda, Azure Functions) Familiarity with monitoring tools (Datadog, Prometheus, Grafana, CloudWatch) Experience in multi-cloud or hybrid cloud environments Target salary range $100,001 - $140,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

As a ServiceNow Lead Applied AI Site Reliability Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of high-visibility products and platforms and the environments they run in. Your expertise will be pivotal in keeping production safe, performant, and cost-effective, while driving tangible value for Deloitte's engineering investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across cloud platform engineering, observability, and performance and reliability engineering-together with applied AI fluency that lets you reliably operate AI and agentic workloads alongside the rest of the portfolio-consistently demonstrating your exemplary track record in operating high-quality, resilient systems at scale. The ideal candidate will be a role-model leader and mentor, collaborating with cross-functional teams to set production standards, safeguard environments, and admit systems into production with confidence. Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for reliability, performance, and cost outcomes, measured in service-level objectives and error budgets, not raw uptime. Operate the products, platforms, and environments you support to meet their SLOs within budget, and track incident trends and toil to prioritize the work that most improves reliability-ensuring high-quality, lean operational designs that keep production safe and resilient. Technical Leadership and Advocacy: Serve as the technical advocate for production reliability and operability, ensuring systems are admissible, performant, safe to run, and able to degrade gracefully when failure occurs. Set production standards, lead the design of observability, performance and resilience testing, and operational tooling, and own the admission of systems into production-gating release on error budgets and automated reliability checks, and owning the readiness verification, environment integrity, and operational support that follow. Engineering Craftsmanship: Maintain accountability for the operational integrity of production and pre-production environments, and for the production standards that systems are admitted against. Own SLOs and error budgets; build and operate production observability-codified, version-controlled dashboards and SLO-driven, actionable alerting that detects before impact, plus the feedback loop into engineering; run performance, ambient-noise, and chaos testing to verify readiness; and guard environments against drift. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks-operating as an infrastructure-focused engineer, not a tool operator. Create technical specifications, runbooks, and shared playbooks; lead blameless postmortems that turn incidents into learning and systemic fixes; write high-quality, supportable automation; and review the work of other engineers, mentoring them, to ensure all reliability KPIs (availability, performance, and cost) are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean operational solutions through rapid, inexpensive experimentation to meet the reliability needs of the engineering teams and the business. Engage with those teams before, during, and after delivery, co-defining service-level objectives and operational readiness so the right safeguards are in place at the right time, without becoming a bottleneck to delivery. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, hardening reliability through incremental, measurable improvements-progressive resilience testing and SLO refinement-rather than big-bang interventions, and keeping operations supportable and maintainable. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional partners: engineering, platform engineering, security and risk, data governance, and engineering leadership and architecture. Set production standards and integrate their constraints so that the reliable, performant, and compliant path is the operative path. Co-define service-level objectives with the teams you support, verify readiness, and own the admission decision into production-holding the segregation-of-duties line as a dedicated, embedded function while partnering with security and risk on the control objectives you enforce. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in site reliability and modern production engineering-cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering-together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle. Be a role model, leveraging these techniques to optimize reliability, performance, and operational delivery. Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain knowledge of the products and platforms you operate-and, where they are AI-infused, their distinct production failure modes such as drift, train/serve skew, latency and output variance, and token/GPU cost anomalies. Translate reliability needs, reference architectures, and operational requirements into service-level objectives, runbooks, and production tooling. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: Strong interpersonal skills and professional demeanor Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Ability to meet deadlines Ability to mentor and provide clear guidance to others Qualifications Required: A bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor. 6+ years of software engineering and site reliability engineering experience operating large-scale, distributed, cloud-native systems in production, with experience in most of the following: Python, Go, Bash, Java, C#/.NET, SQL/NoSQL, Kubernetes, Terraform, ArgoCD, as well as CI/CD and observability stacks. 3+ years of experience in site reliability or production engineering for large-scale systems-defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging-e.g., OpenTelemetry, ServiceNow Instance Observer, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk. 3+ years of experience with cloud-native engineering and cloud platform ownership on any of the cloud hyperscalers such as Azure, AWS, or GCP-including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI-plus container orchestration (Kubernetes, Docker), infrastructure-as-code, networking, and multi-environment management. 1+ years of experience establishing reliability and operational standards-SLO discipline, runbooks, and performance and resilience budgets-including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards. Prior experience operating AI/ML and agentic workloads in production-their reliability failure modes (drift, train/serve skew, output variance), MLOps/LLMOps, and the AI control plane (model/LLM gateway, guardrails) from the operability and performance side. Prior experience with load and performance testing under simulated production traffic (e.g., LoadRunner, k6, or JMeter), chaos engineering (e.g., Azure Chaos Studio, AWS Fault Injector), capacity planning, autoscaling, and cloud/AI cost engineering (FinOps tooling/dashboards, including GPU/inference and token cost attribution). Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development. Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, ATF, MLflow, ServiceNow platform capabilities including ITSM, ITOM, CMDB/CSDM, SPM, IRM, SecOps, HRSD, workflow automation, integration/API patterns, platform administration, platform governance, and operational service management, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to operate high-quality, resilient platforms and products at scale. Preferred certifications include ServiceNow Certified System Administrator (CSA), Certified Application Developer (CAD), CIS-ITSM, CIS-HRSD, CIS-Data Foundations, AI/GenAI-focused ServiceNow credentials, or relevant cloud/AI certifications such as Azure, AWS, GCP, Kubernetes, or DevOps/SRE credentials. Ability to travel 10%, on average, based on the work you do and products you build. Candidates must be located within a commutable distance to the select location available for this role. Ability to work in your local office at a minimum of 3 days per week. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $188,500.

Position Type Full time Type Of Hire Experienced (relevant combo of work and education) Job Description Current and future sponsorship are not available for this position. Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS. Role location Hybrid - Jacksonville, Florida About The Role We are hiring a Senior Lead Site Reliability Engineer to design, build and operate always-on, low-latency and highly secure payment platforms that support large-scale financial transactions. This is a senior, hands-on engineering role focused on highly available, mission-critical platforms. You will work across distributed systems, cloud platforms, observability and reliability engineering to improve stability, performance, scalability and operational efficiency. You will collaborate with engineering, development and infrastructure teams while remaining deeply involved in day-to-day technical work. Your key responsibilities Design and implement reliability architecture and engineering standards for scalable, resilient and operationally efficient services, platforms and infrastructure Build and evolve enterprise-grade observability capabilities across metrics, logs and traces, including service-level objectives and service-level indicators, to provide actionable insights into system health and customer experience Implement and continuously improve site reliability engineering practices, including error budgets, capacity modeling, resilience testing, graceful degradation and operational readiness Architect automation and self-service capabilities, and design secure continuous integration and continuous delivery pipelines, deployment automation, quality gates and rollback strategies Troubleshoot complex production issues, perform deep root-cause analysis and collaborate across engineering, platform and infrastructure teams to deliver long-term reliability improvements What you bring Required Qualifications Deep software engineering expertise designing, building and operating large-scale, distributed, application programming interface-driven systems in production Strong continuous integration and continuous delivery experience with tools such as Azure DevOps, GitHub Actions, Jenkins or Harness, including pipeline design, deployment automation and release engineering Expertise in observability, alerting and reliability engineering using technologies such as Prometheus, Grafana, Datadog, Splunk or the Elastic Stack Strong cloud experience with Amazon Web Services, Microsoft Azure or Google Cloud Platform, including infrastructure as code, platform automation and cloud-native design patterns Hands-on experience with Linux, including Red Hat Enterprise Linux, Windows, SQL Server or Oracle databases, and complex enterprise technology environments, combined with experience operating highly available, mission-critical platforms Preferred Qualifications Strong automation and scripting skills using Python, Bash, Ansible, PowerShell or similar technologies; C# and .NET experience is an additional advantage Experience owning reliability strategy or platform initiatives spanning multiple teams or business units Experience modernizing legacy financial systems into cloud-native or hybrid architectures with a focus on resilience and compliance The impact you'll make As a Senior Lead Site Reliability Engineer , you will help strengthen the reliability, scalability and performance of mission-critical payment platforms. Your work will reduce operational risk and manual effort through automation while improving visibility into platform health. By driving reliability engineering practices from design through production, you will help teams deliver stable and efficient technology that supports large-scale financial transactions. What we offer you At FIS, you'll have opportunities to grow your career, collaborate with talented colleagues, and make an impact that reaches far beyond your role. Our Benefits Include Internal career growth opportunities Flexible and creative work environment Diverse and collaborative atmosphere Professional and personal development resources Opportunities to volunteer and support charities Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer~ In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Software Engineer III – Platform Software – Office of the CTO The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health. The Office of the Chief Technology Officer (OCTO) drives computational and technological innovation across the Allen Institute by advancing engineering excellence, developing scalable technology solutions, and enabling scientific discovery. Through strategic partnerships and technical leadership, OCTO accelerates research, enhances operational efficiency, and fosters collaboration in support of the Institute's mission. We are seeking an independent and motivated Platform Software Engineer in the Office of the CTO to drive the Institute's AI compute platform. Reporting to the Director of AI Infrastructure, you will own the platform as a product: the control plane, operators, and user experience over multi-cloud Kubernetes GPU infrastructure serving scientific AI workloads. You will set and hold the production bar — for your own work and for what partner teams deliver — as the platform's durable owner. Beyond the platform, you will catalyze cutting-edge AI methods across the Institute — exchanging practices and creating toolkits for agentic science and AI-augmented research. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Essential Functions Own the control plane surface scientists and admins touch daily (API, web UI, and CLI) Own Kubernetes-native platform software - operators, CRDs, and controllers for tenancy, storage, and job lifecycle across large workloads and interactive compute Telemetry as a product: provide data for understanding capacity, utilization and improvement opportunities Ship with production discipline - CI/CD, automated testing, code review, and quality standards - and hold that bar for work delivered by partner and vendor teams Own security and compliance of what you build Work across the AWS and GCP services the platform composes (eg EKS, GKE, FSx, S3, and GCS) Implement experiences for the whole Institute for cutting-edge AI methods - learn emerging practices and build or scale toolkits for agentic science, data access, and AI-augmented research Collaborate with Allen Institute and vendor teams spanning scientists, engineers, and service Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education And Experience Bachelor's Degree in Computer Science, or related technical field; or equivalent combination of degree and experience Minimum of 3 years of experience building ML infrastructure (compute and storage) Strong software engineering in Go, with Kubernetes operators or controllers shipped to production Preferred Education And Experience Proficiency with building applications on Kubernetes Telemetry fluency with Prometheus, and log pipelines Cloud expertise, multi-cloud preferred (AWS and GCP) Experience with testing, CI/CD, and quality standards as habits Comfort running security reviews of your own systems, including compliance-scoped workloads Empathy for researchers as users, and for their workflows GPU scheduler internals, NVIDIA stack, JupyterHub internals, HPC-to-Kubernetes migrations, FinOps / billing system exposure Physical Demands Fine motor movements in fingers/hands to operate computers and other office equipment Position Type/Expected Hours of Work This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State. Travel Attendance and participation in national and international conferences as appropriate Additional Comments Please note, this opportunity does not offer relocation assistance Please note, this opportunity does not offer work visa sponsorship Annualized Salary Range $146,600 - $183,250 * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable. Benefits Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified