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About BigGeoBigGeo is redefining geospatial intelligence with an AI-ready Discrete Global Grid System (DGGS) that transforms how spatial data is captured, indexed, and monetized. Our platform powers mission-critical decisions across sectors where location intelligence drives outcomes-from large-scale infrastructure projects and environmental planning to logistics and emergency response. We are industry agnostic, unlocking possibilities for organizations that have yet to realize the value a system like ours can deliver.Backed by Vivid Theory, a venture studio dedicated to building transformative technologies, we're a multidisciplinary, entrepreneurial team built for impact. We work quickly, push boundaries, and expect every team member to be both a thinker and a doer.The OpportunityWe're seeking an exceptional Senior Engineer to help architect and accelerate our next phase of growth. In this role, you'll build solutions that change how organizations leverage real-time geospatial data, working at the intersection of computational geometry, high-performance computing, and cutting-edge geospatial technologies.What You'll DoDesign and implement production-grade geospatial libraries with clean APIs and comprehensive documentationBuild high-performance C++ core systems with Python bindings for broad accessibilityDevelop and optimize computational geometry algorithms for large-scale spatial analysisValidate and process complex geometries according to OGC standardsCreate deployment strategies and maintain CI/CD pipelines for geospatial servicesCollaborate across disciplines to deliver measurable results in high-impact, real-world scenariosRequired QualificationsProgramming & Software Development 7+ years of professional C++ development experience (C++14/17/20) Expert-level understanding of modern C++ features, STL, templates, and design patterns Strong experience with memory management, performance optimization, and multi-threading Proficiency in Python with experience creating FFI bindings (pybind11, ctypes, CFFI) Experience building production-grade libraries with clean APIs Senior Engineering Practices Advanced Git workflows and code review experience Proven experience designing deployment strategies for libraries and services Strong understanding of semantic versioning, backward compatibility, and API stability CI/CD pipeline development and management Comprehensive testing practices (unit, integration, performance) Experience with build systems (CMake, Bazel) and package management Computational Geometry & Mathematics Deep understanding of computational geometry algorithms and data structures Strong foundation in linear algebra, differential geometry, and numerical methods Experience implementing geometric algorithms (convex hulls, spatial decomposition, nearest neighbor search) Knowledge of computational complexity and algorithm optimization Understanding of floating-point arithmetic and numerical stability Geospatial & DGGS Expertise Solid understanding of coordinate systems, projections, datums, and transformations Experience with Discrete Global Grid Systems (H3, S2, or OGC DGGS standards) Knowledge of spatial indexing techniques and hierarchical grid structures Understanding of geodesic computations and spherical geometry Geometry Validation & Processing Experience validating geometry according to OGC Simple Features specifications Ability to detect and repair invalid geometries (self-intersections, duplicate vertices, incorrect winding order) Knowledge of topology rules and spatial relationships Experience with geometry simplification, buffering, and overlay operations Proficiency with GeoJSON, WKT/WKB formats OGC Standards & Data Formats Working knowledge of OGC Simple Features Access (SFA) specification Understanding of Well-Known Text (WKT) and Well-Known Binary (WKB) formats Familiarity with OGC web services (WMS, WFS, WCS, WMTS) Experience with modern columnar formats (GeoParquet,

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery. Job Profile Summary: Global Markets GenAI Technology is a fast-growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform. The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients. Responsibilities: Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s) Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features Works with stakeholders to establish high-level solution needs and with architects for technical requirements Build and operate the cloud infrastructure layer for the GenAI platform across AWS, Azure, and GCP, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads. Design, implement, and manage containerized environments (Kubernetes and managed services such as EKS, AKS, GKE) Develop and maintain scalable deployment and release pipelines Engineer highly scalable cloud architectures Required Qualifications: 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles Strong hands-on experience with: AWS, Azure, and/or GCP (multi-cloud experience preferred) container platforms (Kubernetes, EKS, AKS, GKE) infrastructure-as-code and CI/CD pipelines Proven experience designing and operating: highly scalable distributed systems containerized workloads in production cloud environments Expertise in: scaling strategies (autoscaling, load balancing, horizontal scaling) performance tuning and system optimization cloud-native architectures and microservices Experience with: observability tools (metrics, logging, distributed tracing) reliability engineering (high availability, fault tolerance, disaster recovery) Desired Qualifications: Experience supporting AI/ML or GenAI workloads, including: model inference endpoints and API gateways high-throughput, low-latency serving systems Familiarity with: vector databases, data pipelines, or retrieval-based architectures scaling patterns for compute-intensive workloads Experience in: regulated enterprise environments (financial services preferred) shared, multi-tenant platform environments supporting multiple teams Skills: Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Application Development Architecture Business Acumen Risk Management Solution Design Agile Practices Analytical Thinking Collaboration Data Management Solution Delivery Process Minimum Education Requirements: Bachelor Degree or Equivalent Professional Experience Shift: 1st shift (United States of America) Hours Per Week: 40

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery. Job Profile Summary: Global Markets GenAI Technology is a fast-growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform. The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients. Responsibilities: Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s) Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features Works with stakeholders to establish high-level solution needs and with architects for technical requirements Build and operate the cloud infrastructure layer for the GenAI platform across AWS, Azure, and GCP, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads. Design, implement, and manage containerized environments (Kubernetes and managed services such as EKS, AKS, GKE) Develop and maintain scalable deployment and release pipelines Engineer highly scalable cloud architectures Required Qualifications: 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles Strong hands-on experience with: AWS, Azure, and/or GCP (multi-cloud experience preferred) container platforms (Kubernetes, EKS, AKS, GKE) infrastructure-as-code and CI/CD pipelines Proven experience designing and operating: highly scalable distributed systems containerized workloads in production cloud environments Expertise in: scaling strategies (autoscaling, load balancing, horizontal scaling) performance tuning and system optimization cloud-native architectures and microservices Experience with: observability tools (metrics, logging, distributed tracing) reliability engineering (high availability, fault tolerance, disaster recovery) Desired Qualifications: Experience supporting AI/ML or GenAI workloads, including: model inference endpoints and API gateways high-throughput, low-latency serving systems Familiarity with: vector databases, data pipelines, or retrieval-based architectures scaling patterns for compute-intensive workloads Experience in: regulated enterprise environments (financial services preferred) shared, multi-tenant platform environments supporting multiple teams Skills: Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Application Development Architecture Business Acumen Risk Management Solution Design Agile Practices Analytical Thinking Collaboration Data Management Solution Delivery Process Minimum Education Requirements: Bachelor Degree or Equivalent Professional Experience Shift: 1st shift (United States of America) Hours Per Week: 40

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery. Job Profile Summary: Global Markets GenAI Technology is a fast-growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform. The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients. Responsibilities: Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s) Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features Works with stakeholders to establish high-level solution needs and with architects for technical requirements Build and operate the cloud infrastructure layer for the GenAI platform across AWS, Azure, and GCP, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads. Design, implement, and manage containerized environments (Kubernetes and managed services such as EKS, AKS, GKE) Develop and maintain scalable deployment and release pipelines Engineer highly scalable cloud architectures Required Qualifications: 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles Strong hands-on experience with: AWS, Azure, and/or GCP (multi-cloud experience preferred) container platforms (Kubernetes, EKS, AKS, GKE) infrastructure-as-code and CI/CD pipelines Proven experience designing and operating: highly scalable distributed systems containerized workloads in production cloud environments Expertise in: scaling strategies (autoscaling, load balancing, horizontal scaling) performance tuning and system optimization cloud-native architectures and microservices Experience with: observability tools (metrics, logging, distributed tracing) reliability engineering (high availability, fault tolerance, disaster recovery) Desired Qualifications: Experience supporting AI/ML or GenAI workloads, including: model inference endpoints and API gateways high-throughput, low-latency serving systems Familiarity with: vector databases, data pipelines, or retrieval-based architectures scaling patterns for compute-intensive workloads Experience in: regulated enterprise environments (financial services preferred) shared, multi-tenant platform environments supporting multiple teams Skills: Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Application Development Architecture Business Acumen Risk Management Solution Design Agile Practices Analytical Thinking Collaboration Data Management Solution Delivery Process Minimum Education Requirements: Bachelor Degree or Equivalent Professional Experience Shift: 1st shift (United States of America) Hours Per Week: 40

Job Title: ON-SITE - Google Cloud Platform Platform Engineer - HBITS-08-15062 Location: New York City, NY 10004 Duration: Long term (30) Job Description 60 months of experience in cloud infrastructure, DevOps, or systems administration, including at least 2 years in a public cloud environment (Google Cloud Platform preferred; AWS or Azure considered) 36 months of experience with Google Cloud Platform, including Compute Engine, Cloud Storage, VPC networking, IAM, and Secret Manager 36 months of experience with Terraform, including reading, writing, and modifying infrastructure code within established patterns 36 months of experience building and maintaining CI/CD pipelines using Cloud Build, GitHub Actions, or equivalent 36 months of experience with GitHub and Git workflows, including pull requests and branch management 24 months of experience in an Agile delivery environment, including sprint ceremonies and iterative delivery 12 months of experience with DataDog for log analysis and observability 12 months of experience with static code analysis tools such as SonarQube within a CI/CD pipeline Bachelor's Degree Google Cloud Associate Cloud Engineer or Terraform Associate (HashiCorp) Agency: Department of Financial Services Detailed Job Description: The Platform Engineer (Mid-Level) is a hands-on engineering role on the newly established DFS Platform Services team. This role contributes directly to building, operating, and maintaining the internal platform that enables development and operations teams to ship software faster and more reliably. The candidate will work under the guidance of the Lead and Senior Platform Engineers in a structured, mentorship-rich environment. Note: Sorry we do not Sponsor Visa Max: SEVEN 32.800.2838 Aryan: - SEVEN 32.444.8990

Role & Responsibilities As a Cloud Infrastructure Engineer, the consultant will provide technical direction to clients implementing Google Cloud Platform (GCP) services. Key responsibilities include sharing best practices for secure cloud foundations, automating infrastructure and application provisioning, and designing cloud-ready architectures. The consultant will offer expertise to maximize GCP benefits and ensure seamless migration, deployment, modernization, and maintenance workflows. Key Technical Requirements Strong GCP knowledge and hands-on experience Fabric Fast Customization Infrastructure as Code (IaC) and Terraform Automation and CI/CD pipelines Cloud Networking and Landing Zone setup Google Kubernetes Engine (GKE)

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery. Job Profile Summary: Global Markets GenAI Technology is a fast-growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform. The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients. Responsibilities: Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s) Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features Works with stakeholders to establish high-level solution needs and with architects for technical requirements Build and operate the cloud infrastructure layer for the GenAI platform across AWS, Azure, and GCP, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads. Design, implement, and manage containerized environments (Kubernetes and managed services such as EKS, AKS, GKE) Develop and maintain scalable deployment and release pipelines Engineer highly scalable cloud architectures Required Qualifications: 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles Strong hands-on experience with: AWS, Azure, and/or GCP (multi-cloud experience preferred) container platforms (Kubernetes, EKS, AKS, GKE) infrastructure-as-code and CI/CD pipelines Proven experience designing and operating: highly scalable distributed systems containerized workloads in production cloud environments Expertise in: scaling strategies (autoscaling, load balancing, horizontal scaling) performance tuning and system optimization cloud-native architectures and microservices Experience with: observability tools (metrics, logging, distributed tracing) reliability engineering (high availability, fault tolerance, disaster recovery) Desired Qualifications: Experience supporting AI/ML or GenAI workloads, including: model inference endpoints and API gateways high-throughput, low-latency serving systems Familiarity with: vector databases, data pipelines, or retrieval-based architectures scaling patterns for compute-intensive workloads Experience in: regulated enterprise environments (financial services preferred) shared, multi-tenant platform environments supporting multiple teams Skills: Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Application Development Architecture Business Acumen Risk Management Solution Design Agile Practices Analytical Thinking Collaboration Data Management Solution Delivery Process Minimum Education Requirements: Bachelor Degree or Equivalent Professional Experience Shift: 1st shift (United States of America) Hours Per Week: 40

Company Description Whirl AI helps Enterprise IT organizations deliver business change faster. Our platform gives enterprise teams AI agents grounded in a deep, continuously updated understanding of how their systems actually work - compressing discovery and documentation from weeks to hours without sacrificing quality or control. We are early-stage, moving fast, and building the team that will define how Enterprise IT operates in the AI era. Role Description As our Principal Cloud Engineer, you'll set the direction for the infrastructure behind our agents and build much of it yourself. You'll own how every enterprise customer gets a secure, dedicated environment on AWS, and how we run a growing fleet of those environments without slowing the team down. This is a hands-on technical leadership role: you'll decide how our platform evolves, and engineering will look to you for infrastructure decisions. What we are looking for You have designed and deployed complex production infrastructure on AWS across every layer: networking, identity, compute, and data. Experience architecting single-tenant platforms from the ground up and managing fleets of tenant environments at scale through their whole lifecycle, from provisioning to deletion. Expert-level Pulumi. You have designed and scaled large Pulumi codebases and know the platform in depth, from its core concepts to its wider tooling. Experience running containerized workloads (ECS, Kubernetes, or equivalent) and building the CI/CD pipelines that let the rest of engineering ship safely and fast. Deep expertise in infrastructure security. You design for isolation, least-privilege access, and defense in depth. SOC 2 controls are the floor, and we expect skills well beyond them. You build infrastructure that is observable, cost-effective, and performant. Strong programming skills in Python, Go, or a similar language, enough to build and maintain the tools your work needs. You use AI tools throughout your work to design, build, and operate infrastructure faster. Demonstrated experience in cloud infrastructure, platform engineering, or DevOps/SRE roles at a functional lead level. Your team has relied on you for its infrastructure decisions. A high degree of independence. You lead the evolution of our architecture: design and document major changes, plan the work, delegate where it makes sense, and do the implementation yourself. Nice to Have Production experience with GCP or Azure alongside AWS Experience at an early-stage (seed to Series A) startup, especially having built cloud infrastructure from a small footprint Cloud provider certifications (AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure equivalents) Why Join us Own meaningful technical decisions at the ground floor of an AI company targeting a massive market Work directly with founders and have immediate, visible impact Competitive compensation including equity and benefits (100% employer-paid health plan coverage for employees) Whirl AI is committed to equal employment opportunity. All hiring decisions are made on the basis of qualifications, merit, and business need - never on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We build better products because our team doesn't all think the same way, and we want that to keep being true. Show up as yourself. We can't wait to meet you.

What You Will Do: As a Junior Azure Cloud Engineer at Independent Software, you will play an important role in designing, implementing, and supporting Microsoft Azure and Microsoft 365 cloud environments. You will help organizations modernize their IT infrastructure, migrate systems and applications to the cloud, and maintain secure, reliable, and efficient cloud operations. You will work alongside experienced engineers and cross-functional technical teams to deploy cloud solutions, support hybrid environments, automate administrative tasks, and troubleshoot technical challenges. This position offers the opportunity to expand your cloud engineering skills while taking an active role in cloud migration and infrastructure projects. Key Responsibilities: Design and deploy Azure solutions, including virtual networks (VNets), VPNs, load balancers, Azure AD, and App Services Administer Microsoft 365 services, including Exchange Online, SharePoint, Teams, compliance features, and identity integrations Support hybrid cloud environments, including Azure AD Connect and Exchange Hybrid configurations Lead smaller migration projects, including mailbox migrations, SharePoint Online migrations, and application rehosting to Azure Automate cloud administration tasks using PowerShell, Azure CLI, and Microsoft Graph API Monitor Azure and Microsoft 365 environments, optimize resources, and troubleshoot performance issues Support cloud security, access management, and compliance requirements Collaborate with cybersecurity, networking, and other technical teams to ensure secure and reliable cloud operations Certifications: Candidates must possess at least one current Microsoft Azure certification Clearance Requirement: Must possess an active TS SCI with appropriate Polygraph to be considered for this role Why Choose Independent Software: At Independent Software, our people are the mission. We've built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive. When you join us, you will: Support critical national security missions that matter Be part of a close-knit, employee-first culture where your voice is heard Expand your skills through ongoing training, mentorship, and career development Enjoy competitive compensation, generous benefits, and work-life balance Ready to take the next step in your career? Join us and be part of something bigger. Apply today. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Powered by JazzHR omj1OSmRUI

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity AI-enabled services need cloud foundations that remain secure, observable, recoverable, and cost-aware as workloads change. You will serve as the hands-on technical authority for the engineering practices that move these services from experimentation into dependable production use. This is a senior individual contributor role for someone who enjoys solving the problems other teams cannot. You will use AI-assisted engineering tools to accelerate infrastructure and automation work, apply your expertise to verify the results, and guide difficult decisions about architecture, performance, resilience, recovery, and cost across multiple use cases. About Challenger Challenger is a new EY program focused on building the firm's next generation of services. It pursues opportunities where AI enables a fundamentally different service and way of delivering it, including rethinking existing offerings and developing new ones. Small, dedicated teams build and test ideas in real conditions. Solutions that demonstrate clear business value and operational readiness transition to the business for adoption and scale. Challenger Core develops and maintains the shared technology, methods, and risk and quality guardrails that support this work. Each team contributes reusable tools and practices, helping make the next service faster and less costly to build. Your Key Responsibilities Build shared cloud foundations. Create reusable infrastructure, environment patterns, and deployment automation that help teams start quickly and operate consistently. Use AI-assisted engineering responsibly. Apply AI tools to accelerate development and investigation while independently reviewing, debugging, testing, and validating the resulting code. Guide complex designs. Review architectures, migrations, and releases where trade-offs affect reliability, security, performance, cost, or multiple use cases. Strengthen production readiness. Define the evidence required before launch and identify what must change when a service is not ready to operate reliably. Set reliability practices. Establish service objectives, observability standards, actionable alerts, and operational reviews that connect system behavior to user outcomes. Make cost and capacity visible. Test workload assumptions and use performance, consumption, and demand evidence to guide scaling and architecture decisions. Resolve difficult failures. Lead deep investigation across distributed services and integrations, verify root causes against system evidence, and test durable fixes. Prove resilience. Design performance tests, failure simulations, recovery exercises, and rollback paths that show how services behave under stress. Turn lessons into reusable capabilities. Publish tested reference implementations, guidance, and runbooks that state both the intended use and important limitations. Raise engineering capability. Coach engineers, challenge assumptions constructively, and transition proven capabilities to ongoing owners with clear operating responsibilities. Skills And Attributes For Success Deep cloud expertise: Strong knowledge of cloud infrastructure and distributed systems, with the ability to reason across system layers. Hands-on engineering: Ability to write, review, debug, and test infrastructure code, deployment automation, and production services. Diagnostic judgment: Skill in using telemetry and controlled experiments to distinguish symptoms from causes and verify that a fix works. Reliability leadership: Practical command of service objectives, capacity, resilience, recovery, incident learning, and operational readiness. AI workload awareness: Understanding of how model services, retrieval, and agent workflows introduce additional dependencies, failure modes, and costs. Technical influence: The credibility to explain difficult trade-offs, set standards through evidence, and help teams adopt better engineering practices. To qualify you must have Bachelor's Degree in a relevant field of study. 9-12+ years of relevant experience. Relevant experience: Substantial experience designing and operating cloud, infrastructure, platform, or site reliability capabilities in production. Technical depth: A record of solving complex distributed-system problems and explaining why the chosen solution will work. Cloud engineering: Hands-on expertise with infrastructure as code, modern runtime platforms, networking, identity, and delivery automation. Production reliability: Experience defining service objectives and using observability, capacity planning, and recovery testing to improve live systems. Incident leadership: Evidence of investigating difficult failures, supporting response, and converting lessons into durable remediation. Automation judgment: Strong coding skills and the ability to validate AI-generated or otherwise automated engineering output independently. Cross-team influence: Experience mentoring engineers and guiding architecture or readiness decisions without relying on formal delivery ownership. Travel and On-site requirements: This role requires up to 50% travel and flexibility to go into the office in a hybrid capacity. Ideally, you'll also have AI production systems: Experience operating model-serving, retrieval, or agent workloads with demanding reliability and performance needs. Hybrid environments: Experience designing portable patterns across cloud, hybrid, or multi-region environments. Performance and economics: Experience connecting capacity, latency, throughput, and cost to service design and scaling decisions. High-assurance delivery: Experience in regulated or confidential environments with formal security, resilience, or evidence requirements. Community contribution: Practical contributions to cloud-native, infrastructure, SRE, observability, automation, or open-source communities. We welcome exceptional candidates from product, service design, operations, transformation, policy, domain, and entrepreneurial backgrounds; no particular degree or certification is required. What We Offer You At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $172,800 to $359,000 Bay Area California offices – $180,000 to $374,000 All other offices locations in the US, including Sacramento – $144,000 to $329,100 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. To make the most of your application experience, please limit yourself to two applications within a six-month period. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity AI-enabled services need cloud foundations that remain secure, observable, recoverable, and cost-aware as workloads change. You will serve as the hands-on technical authority for the engineering practices that move these services from experimentation into dependable production use. This is a senior individual contributor role for someone who enjoys solving the problems other teams cannot. You will use AI-assisted engineering tools to accelerate infrastructure and automation work, apply your expertise to verify the results, and guide difficult decisions about architecture, performance, resilience, recovery, and cost across multiple use cases. About Challenger Challenger is a new EY program focused on building the firm's next generation of services. It pursues opportunities where AI enables a fundamentally different service and way of delivering it, including rethinking existing offerings and developing new ones. Small, dedicated teams build and test ideas in real conditions. Solutions that demonstrate clear business value and operational readiness transition to the business for adoption and scale. Challenger Core develops and maintains the shared technology, methods, and risk and quality guardrails that support this work. Each team contributes reusable tools and practices, helping make the next service faster and less costly to build. Your Key Responsibilities Build shared cloud foundations. Create reusable infrastructure, environment patterns, and deployment automation that help teams start quickly and operate consistently. Use AI-assisted engineering responsibly. Apply AI tools to accelerate development and investigation while independently reviewing, debugging, testing, and validating the resulting code. Guide complex designs. Review architectures, migrations, and releases where trade-offs affect reliability, security, performance, cost, or multiple use cases. Strengthen production readiness. Define the evidence required before launch and identify what must change when a service is not ready to operate reliably. Set reliability practices. Establish service objectives, observability standards, actionable alerts, and operational reviews that connect system behavior to user outcomes. Make cost and capacity visible. Test workload assumptions and use performance, consumption, and demand evidence to guide scaling and architecture decisions. Resolve difficult failures. Lead deep investigation across distributed services and integrations, verify root causes against system evidence, and test durable fixes. Prove resilience. Design performance tests, failure simulations, recovery exercises, and rollback paths that show how services behave under stress. Turn lessons into reusable capabilities. Publish tested reference implementations, guidance, and runbooks that state both the intended use and important limitations. Raise engineering capability. Coach engineers, challenge assumptions constructively, and transition proven capabilities to ongoing owners with clear operating responsibilities. Skills And Attributes For Success Deep cloud expertise: Strong knowledge of cloud infrastructure and distributed systems, with the ability to reason across system layers. Hands-on engineering: Ability to write, review, debug, and test infrastructure code, deployment automation, and production services. Diagnostic judgment: Skill in using telemetry and controlled experiments to distinguish symptoms from causes and verify that a fix works. Reliability leadership: Practical command of service objectives, capacity, resilience, recovery, incident learning, and operational readiness. AI workload awareness: Understanding of how model services, retrieval, and agent workflows introduce additional dependencies, failure modes, and costs. Technical influence: The credibility to explain difficult trade-offs, set standards through evidence, and help teams adopt better engineering practices. To qualify you must have Bachelor's Degree in a relevant field of study. 9-12+ years of relevant experience. Relevant experience: Substantial experience designing and operating cloud, infrastructure, platform, or site reliability capabilities in production. Technical depth: A record of solving complex distributed-system problems and explaining why the chosen solution will work. Cloud engineering: Hands-on expertise with infrastructure as code, modern runtime platforms, networking, identity, and delivery automation. Production reliability: Experience defining service objectives and using observability, capacity planning, and recovery testing to improve live systems. Incident leadership: Evidence of investigating difficult failures, supporting response, and converting lessons into durable remediation. Automation judgment: Strong coding skills and the ability to validate AI-generated or otherwise automated engineering output independently. Cross-team influence: Experience mentoring engineers and guiding architecture or readiness decisions without relying on formal delivery ownership. Travel and On-site requirements: This role requires up to 50% travel and flexibility to go into the office in a hybrid capacity. Ideally, you'll also have AI production systems: Experience operating model-serving, retrieval, or agent workloads with demanding reliability and performance needs. Hybrid environments: Experience designing portable patterns across cloud, hybrid, or multi-region environments. Performance and economics: Experience connecting capacity, latency, throughput, and cost to service design and scaling decisions. High-assurance delivery: Experience in regulated or confidential environments with formal security, resilience, or evidence requirements. Community contribution: Practical contributions to cloud-native, infrastructure, SRE, observability, automation, or open-source communities. We welcome exceptional candidates from product, service design, operations, transformation, policy, domain, and entrepreneurial backgrounds; no particular degree or certification is required. What We Offer You At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $172,800 to $359,000 Bay Area California offices – $180,000 to $374,000 All other offices locations in the US, including Sacramento – $144,000 to $329,100 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. To make the most of your application experience, please limit yourself to two applications within a six-month period. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity Join New Relic's Container Fabric (CF) team and play a pivotal role in shaping our global internal platform. You will work at the very heart of our infrastructure, building resilient, scalable systems that empower engineering teams across the entire business. If you thrive on solving complex, large-scale challenges and enjoy the tangible impact of high-availability platform orchestration, this is your chance to elevate your technical reach. You will be given the autonomy to drive platform evolution, work with state-of-the-art cloud-native tools, and push the boundaries of modern infrastructure. What You'll Do Platform Orchestration: Oversee and enhance a massive Kubernetes infrastructure platform, ensuring peak availability, performance, and reliability. Automation & Engineering: Evolve internal tooling to eliminate manual overhead and streamline platform delivery across global teams. Lifecycle Management: Manage Day 1 and Day 2 operations for Kubernetes clusters using modern scaling frameworks. Operational Excellence: Partner with a supportive engineering team to manage production environments and lead high-severity incident responses calmly and efficiently. This role requires Infrastructure Expertise: A background in DevOps, Site Reliability, or Infrastructure Engineering managing production environments. Kubernetes Mastery: Deep working knowledge of K8s primitives (Deployments, StatefulSets, Services) and hands-on experience building custom Kubernetes Operators. Golang Proficiency: Strong skills in Go for systems programming and infrastructure automation. Production Focus: Proven experience managing production stability, monitoring, and resolving high-severity incidents. Bonus points if you have Experience with cloud-native auto-scaling technologies such as Karpenter or Cluster API. Practical familiarity with Helm and GitOps tools like ArgoCD or Flux to manage continuous deployment workflows. Please note that visa sponsorship is not available for this position. The pay range below represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience. New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, and mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time-off, and other competitive benefits designed to improve the lives of our employees. Estimated Base Pay Range $126,000—$158,000 USD Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics' different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We're looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy