Find Your Dream Career

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

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