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.
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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.
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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
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Applications for this position will be accepted on an ongoing basis. Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV. Distributed Systems Software Engineer - GovCloud (Senior/Lead) Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems. This role requires advanced prompt engineering skills — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. Your Impact Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools (Cursor, Windsurf, Claude, OpenAI API) to deliver secure, optimized, and high-quality code. Using and contributing to open source technology (Spinnaker, Zookeeper, etc.) Developing Infrastructure-as-Code using Terraform Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available Required Skills A related technical degree required 5+ years backend software development experience Deep knowledge of programming in Java, Golang, Python, or Ruby Experience owning and operating multiple instances of a critical service Experience with Agile development methodology and Test Driven Development Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications Experience with distributed database system and relational databases like postgres is a plus. A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a Senior DevOps Engineer to support a mission-critical enterprise. This role supports software development and deployment activities across multiple environments, and drives automation initiatives. Responsibilities Designs builda, maintains, and enhances Jenkins-base CI/CD pipelines Leveraging containerization and Kubernetes Automate, build, test and deployment of processes, and managing cloud environments Required Qualifications Must possess an active Top Secret Clearance Must be willing and able to obtain a polygraph Bachelor's degree with 8+ years of relevant experience, or Master's degree with less than 2 years of relevant experience DeveSecOps, Kubernetes, Containization, CI/CD Pipelines, Docker, Node.js #CJ Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
The Senior DevOps Engineer role is instrumental in designing, implementing, and maintaining scalable, secure, and automated infrastructure and deployment pipelines that support our growing portfolio of applications and services. Job Duties and Responsibilities (Essential Job Functions) Common job activities are listed below; actual position responsibilities may vary. Refer to your manager or human resources for specific duties and performance expectations. Design, build, and maintain CI/CD pipelines to support rapid and reliable deployment of applications and services. Develop infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or Azure Resource Manager (ARM) / Bicep templates. Manage and optimize AWS and Azure environments, ensuring scalability, performance, and cost-efficiency. Implement monitoring, logging, and alerting solutions to ensure system reliability and visibility. Collaborate with development teams to integrate DevOps best practices into the software development lifecycle. Automate operational tasks and improve system resilience through scripting and tooling. Ensure security and compliance across environments by implementing guardrails, policies, and vulnerability management. Participate in incident response and root cause analysis to continuously improve system reliability. Mentor junior engineers and contribute to DevOps standards and documentation. Perform other duties as requested or as needed to fulfill the purpose of the job. Performance Expectations Meet all performance and behavior expectations outlined in the company performance appraisal form or communicated by management. Perform responsibilities as directed achieving desired results within expected time frames and with a high degree of quality and professionalism. Establish and maintain positive and productive work relationships with all staff, customers, and business partners. Demonstrate the behavioral and technical competencies necessary to effectively complete job responsibilities. Take personal initiative for technical and professional development. Follow the company HR Policy, the Code of Business Conduct and all subsidiary and department policies and procedures, including protecting confidential company information, attending work punctually and regularly, and following good safety practices in all activities. Qualifications Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Experience 5+ years of experience in DevOps, site reliability engineering, or infrastructure engineering. Expert-level experience with AWS services (EC2, ECS, Lambda, S3, CloudWatch, IAM) and/or Azure services (Azure VMs, Container Apps/AKS, Functions, Blob Storage, Monitor, Entra ID). Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline, Azure DevOps Pipelines). Experience with containerization and orchestration (Docker, Kubernetes, Azure Kubernetes Service (AKS)). Experience with observability tools (Prometheus, Grafana, ELK stack, Azure monitor, Application Insights) preferred. Knowledge And Skills Strong proficiency in scripting languages (Bash, Python, PowerShell). Strong understanding of networking, security, and system administration. Familiarity with infrastructure as code tools (Terraform, CloudFormation, Azure Resource Manager (ARM)) Knowledge of DevSecOps practices and integration of security into CI/CD preferred. Exposure to agile methodologies and enterprise-scale environments preferred. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Certifications in AWS, Azure or DevOps practices (AWS DevOps Engineer Professional, Microsoft Certified: DevOps Engineer Expert). Wage: $156,100 - $181,800 annually; actual wage is based upon education and experience. Potential for annual discretionary bonus. Benefits: Full suite of benefits including Medical, Health Savings Account, Dental, Vision, Life Insurance, Paid Vacation (PTO), 401(k) with employer match, Flexible Spending Account, and Employee Assistance Program (EAP) Equal Opportunity Employer
Overview We are seeking a Senior Mobile Developer to play a key role in the design, development, and support of enterprise-grade mobile applications across iOS and Android platforms. This individual contributor position partners closely with cross-functional engineering teams to architect scalable solutions, enhance mobile performance, and deliver seamless user experiences. The ideal candidate has strong experience developing mobile applications using React Native, integrating with cloud-based services, and working with connected devices and Bluetooth technologies. This role requires a hands-on engineer who can contribute throughout the full software development lifecycle, from architecture and development to production support and ongoing enhancements. Key Responsibilities Design, develop, and maintain scalable, high-performance mobile applications for iOS and Android platforms. Participate in application architecture, technical planning, and solution design discussions. Build and maintain reusable software components, libraries, and SDKs to support integration across multiple applications. Develop and optimize mobile connectivity solutions utilizing Bluetooth and related communication technologies. Troubleshoot and resolve application defects, performance issues, crashes, and connectivity challenges. Investigate and address mobile-to-device integration and interoperability issues. Implement production fixes, patches, and enhancements to improve application stability and user experience. Collaborate with QA, product, and support teams to reproduce, diagnose, and resolve reported issues. Monitor application health, analytics, and error reporting tools to proactively identify and correct defects. Contribute to ongoing improvements in development practices, software quality, and system reliability. Perform other duties as required. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline. 3+ years of hands-on experience developing mobile applications using React Native. 3+ years of experience working with Bluetooth technologies and mobile device connectivity. Proven experience designing, deploying, and supporting mobile applications on both iOS and Android platforms. Strong understanding of REST APIs, backend integrations, databases, and cloud-based application architectures. Experience troubleshooting complex mobile application issues in production environments. Ability to work effectively in a collaborative, agile development environment. Preferred Qualifications Experience developing SDKs, reusable frameworks, or shared mobile components. Familiarity with IoT-enabled applications and connected device ecosystems. Experience integrating mobile applications with cloud platforms and distributed systems. Knowledge of application monitoring, logging, analytics, and performance optimization best practices. Strong debugging and troubleshooting skills across mobile, backend, and device connectivity layers. Equal Opportunity Employer, including disability and protected veteran status
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Product Engineer for our Mobile Team. This team owns Snowflake's most visible AI products — Snowflake CoWork, our agentic AI workspace for enterprise knowledge workers, and Snowflake CoCo (Cortex Code), our AI coding agent. In this role, you will build the mobile experiences that bring agentic AI to users wherever they work, spanning the full product lifecycle from conception through deployment. AS AN ENGINEER AT SNOWFLAKE, YOU WILL: Build and ship polished, production-quality mobile features for Snowflake's agentic AI products, taking ideas from design concepts through App Store / Play Store releases. Write clean, performant, and maintainable TypeScript and React Native code while adhering to engineering best practices. Actively participate in mobile and frontend architecture discussions, design reviews, and peer code reviews to ensure code quality and system scalability. Collaborate closely with product managers and UX/UI designers to convert user requirements into detailed technical tasks and robust mobile UI components. Partner with backend and cross-functional teams to integrate APIs and support backend services that power AI inference and data retrieval. Contribute to the web frontend where needed — this team works across mobile, web, and the broader agentic ecosystem. Use AI coding assistants (such as Claude Code, Cursor, Codex, or similar tools) as an integral component of your day-to-day software development workflow. OUR IDEAL ENGINEER WILL HAVE: 2+ years of professional experience designing and building production mobile applications with React Native. Strong product mindset — you care deeply about user experience and can be trusted to own features end-to-end, from ambiguous problem to shipped outcome. Strong hands-on proficiency in JavaScript/TypeScript and the modern React ecosystem. Solid understanding of core computer science fundamentals, including algorithms, data structures, UI design patterns, and state management. Proven ability to turn design mocks and product specs into production-quality code. Experience with mobile app fundamentals: navigation, gesture handling, offline behavior, push notifications, and app store release processes. Strong verbal and written communication skills for cross-functional collaboration across engineering, product, and design. BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent practical experience). Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: The estimated base salary range for this role is $160,000 - $230,000. Additionally, this role is eligible to participate in Snowflake's bonus and equity plan. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.