About BigGeoBigGeo is the Spatial Cloud.We help companies manage and access the world's spatial data.Any size, any slice, any insight.Delivered in seconds.We're building something that hasn't existed before: a new layer of the internet where the "where" and "when" behind every decision is instantly clear, programmable, and actionable. Our platform removes the complexity that has kept spatial data locked in silos for decades, and replaces it with speed, precision, and control. We're a Calgary-based company, early and moving fast, with real customers, real infrastructure, and a clear point of view on where the world is going.Why BigGeo Exists and Why People Build HereMost companies are spatially blind. They know what their data says, but not where or when things actually happen. That gap costs real money, creates real risk, and limits what AI can actually do in the physical world.BigGeo exists to close that gap.We're not building another tool. We're building the rails that connect the planet's moving data to the systems that run the world. That's a big problem, and it takes people who care about doing things right, not just fast.People build here because: The problem is real and the category is open. We're not competing for the middle of an existing market. We're defining a new one. Your work shapes what the category becomes. Your fingerprints are on the architecture. We're at the stage where the decisions you make today become the foundation tomorrow. What you ship matters. We run on clarity, not politics. We move with purpose. No bureaucratic drag, just a team that agrees on the mission and gets to work. You'll grow fast because the problems are hard. Spatial data at scale is a genuinely difficult domain. If you want to be stretched, you'll be stretched. We're building for longevity. We're not chasing hype cycles. We're building infrastructure, the kind that compounds in value over time and earns the trust of the companies that depend on it. The RoleBigGeo is hiring a Platform Engineer to build and operate the core infrastructure that powers the Spatial Cloud. This is a high-ownership role for someone who wants their engineering decisions to be felt in production, by real customers, on real workloads, every single day. You will design, implement, and maintain the distributed systems that let spatial data be ingested, processed, and delivered reliably at scale. Your work ensures the Spatial Cloud operates as durable, high-performance infrastructure that teams, applications, and AI systems can trust to run the decisions that matter. You will partner closely with engineering, data, and product to keep the platform reliable, scalable, and easy to build on as datasets grow, workloads intensify, and new product capabilities ship. Platform Engineers are the people who turn BigGeo's architecture into production-grade infrastructure. This is not a maintenance role. This is a build role. You will own systems end to end, ship meaningful changes quickly, and shape the technical foundation that the rest of the company builds on top of.Key ResponsibilitiesPlatform Infrastructure Design and implement scalable, distributed infrastructure that powers the Spatial Cloud across ingestion, storage, compute, and delivery. Build and operate distributed services that manage large spatial datasets and high-volume compute workloads. Keep platform systems performant under real production load, not just benchmark load. Contribute to architecture decisions that shape how the platform scales over the next three to five years. Reliability and Operations Implement monitoring, logging, tracing, and observability systems that give engineers real visibility into the platform. Participate in on-call rotation, incident response, and post-incident reviews that turn outages into permanent fixes. Maintain high availability and operational stability across services that customers rely on. Define and uphold SLOs, error budgets, and reliability practices that scale wit
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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Agent Engineer Type: Contract Compensation: $100?$500 per task Location: Remote Role Responsibilities Build and operate LLM agents in production environments. Evaluate agent performance and determine improvements after changes. Manage long-running agents, including scheduled jobs and cloud sandboxes. Analyze adoption patterns of internal assistants within organizations. Focus on internal monoagents, shared memory, and reusable skills. Ensure visibility into agent actions and associated costs. Qualifications Must-Have Experience shipping agents used by real users. Ability to assess agent performance improvements. Knowledge of long-running work and cloud sandboxes. Insight into internal assistant adoption within organizations. Interview Process Initial short conversational AI interview ; no coding or take-home tasks. Live 30-minute conversation with our team. Compensation of $100 to $500 for the conversation, based on experience. Application Process (Takes 20?30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
About BigGeoBigGeo is the Spatial Cloud.We help companies manage and access the world's spatial data.Any size, any slice, any insight.Delivered in seconds. We're building something that hasn't existed before: a new layer of the internet where the "where" and "when" behind every decision is instantly clear, programmable, and actionable. Our platform removes the complexity that has kept spatial data locked in silos for decades and replaces it with speed, precision, and control.We're a Calgary-based company, early and moving fast, with real customers, real infrastructure, and a clear point of view on where the world is going.Why BigGeo Exists and Why People Build HereMost companies are spatially blind. They know what their data says, but not where or when things actually happen. That gap costs real money, creates real risk, and limits what AI can actually do in the physical world.BigGeo exists to close that gap. We're not building another tool. We're building the rails that connect the planet's moving data to the systems that run the world. That's a big problem, and it takes people who care about doing things right, not just fast.People build here because: The problem is real and the category is open. We're not competing for the middle of an existing market, we're defining a new one. Your work shapes what the category becomes. Your fingerprints are on the architecture. We're at the stage where the decisions you make today become the foundation tomorrow. What you ship matters. We run on clarity, not politics. We move with purpose. No bureaucratic drag, no HiPPO decisions, just a team that agrees on the mission and gets to work. You'll grow fast because the problems are hard. Spatial data at scale is a genuinely difficult domain. If you want to be stretched, you'll be stretched. We're building for longevity. We're not chasing hype cycles. We're building infrastructure, the kind that compounds in value over time and earns the trust of the companies that depend on it. The RoleThe Spatial AI Engineer builds the systems that let AI models, applications, and intelligent agents understand and reason about the real world through spatial data. You will design and implement machine learning systems that operate directly on spatial datasets inside The Spatial Cloud, turning raw location and time data into intelligence that applications and AI agents can act on in seconds. This role sits at the intersection of machine learning, spatial computing, and large-scale data infrastructure. You will build the models, pipelines, and inference services that make spatial intelligence operational: not research artifacts sitting in notebooks, but production systems answering real questions at global scale. You will work alongside Core Systems Engineers building the Spatial Cloud platform, data platform engineers managing global spatial datasets, and product teams shipping spatial intelligence capabilities to developers and enterprises. The problems are hard, the datasets are enormous, and the impact is visible, because what you build is used in real-world environments. If you want to build AI systems that reason about the physical world and shape a new category of infrastructure as it takes form, this is the place to do it.What You Will Build and OwnAs a Spatial AI Engineer, you will contribute to and own systems that include: Spatially-aware machine learning models that incorporate geometry, location, and temporal context as first-class inputs. AI-powered spatial analytics and pattern detection systems that find signal in global-scale geospatial data. Spatial reasoning systems that understand how places, movements, and events relate across space and time. Training and evaluation pipelines for spatial AI models, including dataset management, labeling workflows, and reproducible experiments. Real-time spatial inference services that deliver model outputs to applications and agents with low latency at scale. APIs and services that let developers, applicatio
Job Description As a Data Engineer II here at Honeywell Aerospace, you will play an essential role in developing and refining data pipelines that facilitate the accurate and efficient flow of information across various systems. Your efforts will be pivotal in enhancing the organization's ability to access and utilize critical financial data seamlessly. Your primary focus will be on creating robust, scalable solutions that ensure the real-time delivery and automated processing of data from our diverse data sources to endpoint solutions. The role emphasizes collaboration with Finance stakeholders (not enterprise IT architecture) to translate business requirements into reliable, well-documented data products. Key Responsibilities Build and maintain ELT/ETL pipelines that ingest data from varied sources (financial systems, ERP/CRM, files, APIs) into Snowflake; ensure reliability, observability, and recoverability. Develop transformations using SQL and Python within Dataiku (recipes, flows, scenarios) and Databricks (notebooks, Jobs, Delta Lake/Spark) to produce trusted, reusable finance data marts and subject-area tables. Automate and orchestrate workflows (scheduling, dependency management, alerts) in Dataiku/Databricks; implement robust logging and monitoring. Enable Tableau analytics by publishing performant Snowflake views and semantic layers; optimize query patterns (warehouses, micro-partitions, caching) to support dashboard performance and scalability. Data quality and governance: implement validation rules, reconciliations/tie-outs to source systems, lineage documentation, and access controls; uphold standards for PII and financial data. Requirement gathering & stakeholder collaboration: work directly with Finance/FP&A, Accounting, and business analysts to translate metrics (e.g., period close, variance analysis, forecasting) into data models and pipelines. Performance tuning: leverage Snowflake features (e.g., Tasks, Streams, Dynamic Tables where appropriate), clustering strategies, and cost-efficient warehouse configurations. Version control and CI/CD: manage code in Git, contribute reviews, unit/integration tests, and promote changes through dev/test/prod. Process modernization: convert manual/Excel processes into automated, auditable pipelines; prototype utilities and frameworks in Python Qualifications YOU MUST HAVE US Citizen status Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field (or equivalent experience). 3–5 years of professional data engineering experience, including 2+ years with Snowflake (data modeling, SQL performance, warehouse administration). Advanced SQL and practical Python skills for data processing and automation. WE VALUE Hands-on experience with Dataiku (flows, recipes, scenarios, plugins) and Databricks (Spark, Delta Lake, Jobs) for pipeline development and orchestration. Experience preparing datasets for Tableau consumption; familiarity with semantic layers, live vs. extract strategies, and performance best practices. Demonstrated ability to partner with Finance/FP&A teams and translate business logic into reproducible data transformations. Strong documentation habits, communication skills, and commitment to data quality and operational excellence. Exposure to cloud platforms (Azure, AWS, or GCP) and data services; experience with secrets management and resource cost-optimization. Familiarity with Snowflake Streams, Tasks, and Dynamic Tables for incremental processing and near-real-time use cases. Experience with CI/CD (e.g., GitHub Actions/Azure DevOps), pytest/unit testing, and environment promotion. Knowledge of data governance (cataloging, lineage, roles/policies) and best practices for financial data controls. Background in finance domain concepts (GL, P&L, balance sheet, budgeting & forecasting). Benefits Of Working For Honeywell Aerospace In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell Aerospace employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. About Us Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution. Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else. Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next. Every horizon. Every mission. Every day.
Current Employees and Students: Please log in to Workday to use the internal job search and application process. Job Description The Data Warehouse Developer is responsible for designing, developing, and supporting enterprise data warehouse solutions that enable reporting, analytics, and business intelligence initiatives. This role develops and maintains complex ETL processes, designs data models and database architectures, ensures data accuracy and integrity, and supports data warehouse performance optimization. The position also creates and enhances data warehouse components, data marts, metadata repositories, and related database systems while troubleshooting and maintaining existing applications. Minimum Qualifications Bachelor's degree or an equivalent combination of education and experience required. A minimum of four (4) years of experience in data warehouse design, ETL development, database architecture, and data integration is required. Strong analytical, problem-solving, and troubleshooting skills are essential. Our Comprehensive Employee Benefits Include An array of retirement plan options, each with a generous employer contribution. Affordable health insurance options, including dental, vision and prescription coverage that begin on day one. Paid vacation and sick leave, including short and long-term disability and paid parental leave. Get the most out of the Public Service Loan Forgiveness program. And much more! Screen reader users may encounter difficulty with the online application. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions. Thank you for your interest in working at Ohio State. Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. The university is an equal opportunity employer, including veterans and disability.
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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities Use frontier AI coding agents to complete and evaluate complex data engineering tasks. Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . Identify bugs, edge cases, scalability issues, and failure modes in model outputs. Compare outputs from multiple frontier models and assess their strengths and weaknesses. Apply professional engineering judgment to realistic data engineering scenarios. Qualifications Must-Have 2+ years of professional data engineering experience. Experience building ETL pipelines , data warehouses , analytics platforms , or distributed data systems . Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. Ability to evaluate model-generated data infrastructure and pipeline implementations. Preferred Experience operating large-scale data platforms . Compensation & Legal $400 per accepted task . Compensation is tied to accepted work. Application Process (Takes 20?30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities Use frontier AI coding agents to complete and evaluate complex data engineering tasks. Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . Identify bugs, edge cases, scalability issues, and failure modes in model outputs. Compare outputs from multiple frontier models and assess their strengths and weaknesses. Apply professional engineering judgment to realistic data engineering scenarios. Qualifications Must-Have 2+ years of professional data engineering experience. Experience building ETL pipelines , data warehouses , analytics platforms , or distributed data systems . Regular use of AI coding agents such as Cursor , Claude Code , Codex , Windsurf , Gemini CLI , or similar tools. Ability to evaluate model-generated data infrastructure and pipeline implementations. Preferred Experience operating large-scale data platforms . Compensation & Legal $400 per accepted task . Compensation is tied to accepted work. Application Process (Takes 20?30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems (NGDS) is looking for a Principal DevOps Engineer based in Manhattan Beach, CA . Our Team works on state-of-the-art Mission Planning systems. Responsibilities Include Create and maintain the software CI/CD pipelines to enable fast, bug safe delivery of critical business software to production. Set up Development, Test, and Build environments for the team Work with various team members to create a product for deliveries Create and update Windows installers Install, test, and verify software products Maintain multiple baseline repositories Provide support to team members with issues relate to build and installation. Define and implement software version control processes, policies, and procedures. All work must be performed on-site in Manhattan Beach, CA Basic Qualifications BS or higher degree in Science, Technology, Engineering, or Math (STEM) or related field from an ABET accredited university 5+ years of experience in DevOps engineering or software build management OR 3 years of experience with a master's degree in a related discipline Active DoD Top Secret clearance, adjudicated within the last 5 years Clearance to Highest Level of ATDC SAP Demonstrated experience with DevOps engineering principles Knowledge and experience with Continuous Integration (CI) and Continuous Deployment (CD) Practices Experience using and managing one of these CI/CD tools: Bamboo, Jenkins Development experience in one or more of the following scripts: yaml, Python, PowerShell, Curl, Unix Experience with at least one object-oriented programming language (C#, Java, C++) Knowledge and experience in one or more of the following tools: GitHub, Bitbucket, Jira, Confluence, SonarQube, Ansible, VisualBuild, InstallShield, Wix Ability to work on-site in Manhattan Beach, CA Preferred Qualifications Experience with Microsoft Windows-based Applications Experience specifically with these tools: InstallShield, Visual Build Pro Familiarity with Agile and Scrum methodology Software testing experience Proficiency in one or more of the following: C#, .NET Framework, Java, C/C++ Expert Windows and Linux administration, troubleshooting, and performance tuning and proven Automation/Coding experience Strong analytical and problem-solving skills. Experience with containerization (Docker / Podman) Demonstrated ability to implement process improvements, streamline activities, and develop efficiencies Excellent communication and organizational skills; strong interpersonal and analytic skills Active / Current DoD Top Secret clearance, adjudicated within the last 5 years Primary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Senior Software Engineer: PlatformLocation: In office Calgary, AlbertaAbout 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 a Senior Platform Engineer focusing on high-performance backend systems using modern statically compiled languages. This role emphasizes building reliable, secure, and performant infrastructure that powers our product offerings. If you're a developer who thrives on creating high-performance, observable systems and isn't afraid to dive deep into low-level optimizations while building reliable platform services, we want to hear from you!Primary Responsibilities Design and implement efficient, reliable, secure, and observable backend systems Optimize code for performance and resource utilization Contribute to architectural decisions for distributed systems and big-data processing Write and maintain observable, instrumented code that enables effective system monitoring Lead the development of complex platform features Design and implement scalable data architectures Conduct thorough performance testing and optimization Mentor junior developers, promote and enforce best practices Lead initiatives to align platform development with business objectives, ensuring that all platform functionalities contribute positively to key outcomes and KPIs Facilitate a smooth transition of platform features to product teams, supporting seamless integration and effective use within product pipelines Continuously evaluate and optimize the platform to enhance user experience and deliver measurable business value, supporting overall company growth objectives Assume full ownership and accountability for strategic technology domains, with the ability to articulate their business value and organizational impact Drive DevOps practices and automation initiatives Monitor and analyze technical performance of internal systems Leverage existing CI/CD pipelines and tooling for efficient deployment workflows Support deployment and operational excellence Contribute to infrastructure-as-code initiatives Requirements Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience) Proven track record in high-performance backend development Proficiency in modern statically compiled languages Strong understanding of immutability principles and their application Expertise in writing efficient, reliable, and secure code Proficient with both manual memory management and automatic lifetime management techniques Strong understanding of computer architecture and efficient utilization of available resources Strong knowledge of fundamental data structures and algorithms Understanding of performance trade-offs between algorithmic efficiency, distributed systems coordination, and I/O minimization in big data contexts Experience with modern observability patterns and practices Backend Technology Stack Requirements Core Languages & Frameworks Experience with modern statically compiled languages (Go, Rust, C++, or similar) Familiarity with testing frameworks and benchmarking tools Understanding of dependency management and build systems Databases & Data Storage Strong experience with relational databases (PostgreSQL, MySQL) Proficiency with
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