Everpure, Inc. is seeking a Senior Technical Evangelist, AI to champion our data and AI solutions with clients, partners, and the broader technical community. In this role you will design and showcase modern cloud data and AI architectures, build demos and prototypes, and translate complex business problems into scalable data and analytics solutions. You'll collaborate closely with consulting, product, and sales teams while engaging engineers, data teams, and executives through workshops, talks, and technical content. At Everpure, you'll join a learning-focused, collaborative culture where experimentation is encouraged and flexible, sustainable work supports high performance. Responsibilities Lead technical evangelism for Everpure's AI and data solutions across clients and partners Design and deliver demos, prototypes, and reference architectures for AI and analytics platforms Create technical content (whitepapers, talks, workshops) to showcase best practices in data and AIPartner with sales and consulting teams to translate business problems into data/AI solutions Advise clients on modern data architectures, cloud data platforms, and MLOps patterns Engage developer and data communities through events, webinars, and conferences Guide clients on responsible AI, data governance, and performance optimization Mentor internal teams on emerging AI tools, frameworks, and architectures Required Skills Cloud platforms (AWS, Azure, or GCP) Data engineering (SQL, ETL/ELT, data modeling) Modern data stack tools (e.g., dbt, Spark, warehouse/lakehouse platforms) Machine learning/AI frameworks (e.g., Py Torch, Tensor Flow, scikit-learn) Python for data and AIMLOps and model deployment on cloud platforms Analytics and BI tooling (e.g., Power BI, Looker, Tableau) Solution architecture and reference design Technical writing and presentation skills Stakeholder and client-facing consulting skills
11/01/2026
Full time
Everpure, Inc. is seeking a Senior Technical Evangelist, AI to champion our data and AI solutions with clients, partners, and the broader technical community. In this role you will design and showcase modern cloud data and AI architectures, build demos and prototypes, and translate complex business problems into scalable data and analytics solutions. You'll collaborate closely with consulting, product, and sales teams while engaging engineers, data teams, and executives through workshops, talks, and technical content. At Everpure, you'll join a learning-focused, collaborative culture where experimentation is encouraged and flexible, sustainable work supports high performance. Responsibilities Lead technical evangelism for Everpure's AI and data solutions across clients and partners Design and deliver demos, prototypes, and reference architectures for AI and analytics platforms Create technical content (whitepapers, talks, workshops) to showcase best practices in data and AIPartner with sales and consulting teams to translate business problems into data/AI solutions Advise clients on modern data architectures, cloud data platforms, and MLOps patterns Engage developer and data communities through events, webinars, and conferences Guide clients on responsible AI, data governance, and performance optimization Mentor internal teams on emerging AI tools, frameworks, and architectures Required Skills Cloud platforms (AWS, Azure, or GCP) Data engineering (SQL, ETL/ELT, data modeling) Modern data stack tools (e.g., dbt, Spark, warehouse/lakehouse platforms) Machine learning/AI frameworks (e.g., Py Torch, Tensor Flow, scikit-learn) Python for data and AIMLOps and model deployment on cloud platforms Analytics and BI tooling (e.g., Power BI, Looker, Tableau) Solution architecture and reference design Technical writing and presentation skills Stakeholder and client-facing consulting skills
Job Description Job Description Description: This government contract position requires: US Citizen Ability to obtain a DoW (formerly DoD) Active Secret clearance Centex Technologies is seeking three (3) strong Senior DevOps Engineers to support our work with the Air Force. This is an incredible opportunity to transform how the Air Force handles data, moving away from the limitations of siloed, monolithic datasets. We're building a secure, scalable Data Mesh Environment (DME) that will unlock advanced data discovery, access, and interoperability across the Department of the Air Force (DAF). This isn't just a technical upgrade; it's a fundamental shift that will provide our warfighters with real-time, governed access to diverse and distributed data products. Imagine the possibilities: faster decision-making in dynamic operational environments, improved interoperability between domains, and a new foundation for distributed data operations. By enabling a unified approach to identity access management, enterprise metadata tagging, and streaming data pipelines, we are creating a resilient platform that will accelerate data readiness and give our military a critical decision advantage. The DME will ensure secure, scalable integrations and automated Zero Trust policy enforcement. The work we're doing will directly support the Cloud One mission. We will be designing the architecture, prototyping core capabilities, and providing the long-term sustainment needed to ensure mission continuity. This project will empower our forces with the data they need, when they need it, to stay ahead of any adversary. Position Description (what you will do) : Own and evolve infrastructure-as-code, CI/CD, and cloud deployment patterns for the DME / ACDC platform application stacks (Node.js/React dashboard, API gateway, identity, and policy services). Design, implement, and maintain Terraform modules and environment pipelines that provision and operate AWS workloads (ECS, RDS, IAM, networking, and supporting services) across multiple non-prod and production-like environments. Build and harden GitLab CI/CD workflows for plan/apply, image build/push, and controlled deployments, including runner configuration, credentials/role assumption, and environment promotion practices. Partner with application engineers to make services operable in AWS: ECS task definitions, autoscaling, service lifecycle, secrets/config, logging/metrics, and safe restart/redeploy patterns. Drive platform reliability and cost efficiency through automation (for example, environment park/wake schedules, inventory-driven start/stop tooling, and guardrails that prevent unsafe operations on protected environments). Embed security into delivery: least-privilege IAM, permissions boundaries, secure defaults for containers and pipelines, secret handling, and compliance-minded patterns for GovCloud / elevated environments. Lead incident and change support for infrastructure and pipeline failures-diagnose Terraform/state, CI, and AWS runtime issues, and land durable fixes. Improve engineering maturity through reusable modules, documented runbooks, reviewable IaC standards, and mentorship of developers on DevOps/DevSecOps practices. Review merge requests for infrastructure, CI, and deployment changes; uphold quality, security, and operational readiness before merge. Requirements: US Citizen Ability to obtain a DoW (formerly DoD) Active Secret clearance Experience : 6+ years in DevOps, DevSecOps, SRE, or platform engineering roles supporting production cloud applications (or equivalent depth with clear ownership of CI/CD + cloud infrastructure). Cloud & IaC : Hands-on experience designing and operating AWS workloads with Terraform (multi-env var files, remote state, modules, and safe plan/apply workflows). Containers & compute : Experience deploying and operating containerized services on ECS (or EKS/Kubernetes with clear transferability), including task/service definitions, autoscaling, and rollout practices. CI/CD : Strong experience building and maintaining pipelines in GitLab CI (or similar) for infrastructure and application delivery, including secrets, OIDC/role assumption, and environment-based promotion. Security : Practical DevSecOps mindset-IAM least privilege, secure pipeline design, secret management, and hardening of build/deploy paths. Collaboration : Ability to work closely with application teams (Node.js/React and backend services), translate operational requirements into automation, and communicate clearly in design reviews and MR feedback. Troubleshooting : Proven ability to debug failed pipelines, Terraform drift/apply errors, and AWS runtime issues under time pressure. Nice to Have : Experience with AWS GovCloud and/or DoD / Cloud One / IL4-IL6 style environments and controls. Experience with API gateways (e.g. Tyk or equivalents), ICAM / AuthN / AuthZ platforms (e.g. Keycloak), and policy engines (e.g. OPA). Experience with FinOps / cost-control automation (scheduled scale-to-zero, start/stop of RDS/ECS, environment inventories). Experience with Docker image build, lightening/hardening, and ECR (or equivalent registries). Experience with Systems Manager, EventBridge/scheduling patterns, and App Auto Scaling for ECS. Experience with SonarQube or other automated quality/security scanning in CI. Experience with environment factories/bootstrap modules that provision accounts or shared platform baselines. Ability to obtain U.S. Security Clearance.
11/01/2026
Full time
Job Description Job Description Description: This government contract position requires: US Citizen Ability to obtain a DoW (formerly DoD) Active Secret clearance Centex Technologies is seeking three (3) strong Senior DevOps Engineers to support our work with the Air Force. This is an incredible opportunity to transform how the Air Force handles data, moving away from the limitations of siloed, monolithic datasets. We're building a secure, scalable Data Mesh Environment (DME) that will unlock advanced data discovery, access, and interoperability across the Department of the Air Force (DAF). This isn't just a technical upgrade; it's a fundamental shift that will provide our warfighters with real-time, governed access to diverse and distributed data products. Imagine the possibilities: faster decision-making in dynamic operational environments, improved interoperability between domains, and a new foundation for distributed data operations. By enabling a unified approach to identity access management, enterprise metadata tagging, and streaming data pipelines, we are creating a resilient platform that will accelerate data readiness and give our military a critical decision advantage. The DME will ensure secure, scalable integrations and automated Zero Trust policy enforcement. The work we're doing will directly support the Cloud One mission. We will be designing the architecture, prototyping core capabilities, and providing the long-term sustainment needed to ensure mission continuity. This project will empower our forces with the data they need, when they need it, to stay ahead of any adversary. Position Description (what you will do) : Own and evolve infrastructure-as-code, CI/CD, and cloud deployment patterns for the DME / ACDC platform application stacks (Node.js/React dashboard, API gateway, identity, and policy services). Design, implement, and maintain Terraform modules and environment pipelines that provision and operate AWS workloads (ECS, RDS, IAM, networking, and supporting services) across multiple non-prod and production-like environments. Build and harden GitLab CI/CD workflows for plan/apply, image build/push, and controlled deployments, including runner configuration, credentials/role assumption, and environment promotion practices. Partner with application engineers to make services operable in AWS: ECS task definitions, autoscaling, service lifecycle, secrets/config, logging/metrics, and safe restart/redeploy patterns. Drive platform reliability and cost efficiency through automation (for example, environment park/wake schedules, inventory-driven start/stop tooling, and guardrails that prevent unsafe operations on protected environments). Embed security into delivery: least-privilege IAM, permissions boundaries, secure defaults for containers and pipelines, secret handling, and compliance-minded patterns for GovCloud / elevated environments. Lead incident and change support for infrastructure and pipeline failures-diagnose Terraform/state, CI, and AWS runtime issues, and land durable fixes. Improve engineering maturity through reusable modules, documented runbooks, reviewable IaC standards, and mentorship of developers on DevOps/DevSecOps practices. Review merge requests for infrastructure, CI, and deployment changes; uphold quality, security, and operational readiness before merge. Requirements: US Citizen Ability to obtain a DoW (formerly DoD) Active Secret clearance Experience : 6+ years in DevOps, DevSecOps, SRE, or platform engineering roles supporting production cloud applications (or equivalent depth with clear ownership of CI/CD + cloud infrastructure). Cloud & IaC : Hands-on experience designing and operating AWS workloads with Terraform (multi-env var files, remote state, modules, and safe plan/apply workflows). Containers & compute : Experience deploying and operating containerized services on ECS (or EKS/Kubernetes with clear transferability), including task/service definitions, autoscaling, and rollout practices. CI/CD : Strong experience building and maintaining pipelines in GitLab CI (or similar) for infrastructure and application delivery, including secrets, OIDC/role assumption, and environment-based promotion. Security : Practical DevSecOps mindset-IAM least privilege, secure pipeline design, secret management, and hardening of build/deploy paths. Collaboration : Ability to work closely with application teams (Node.js/React and backend services), translate operational requirements into automation, and communicate clearly in design reviews and MR feedback. Troubleshooting : Proven ability to debug failed pipelines, Terraform drift/apply errors, and AWS runtime issues under time pressure. Nice to Have : Experience with AWS GovCloud and/or DoD / Cloud One / IL4-IL6 style environments and controls. Experience with API gateways (e.g. Tyk or equivalents), ICAM / AuthN / AuthZ platforms (e.g. Keycloak), and policy engines (e.g. OPA). Experience with FinOps / cost-control automation (scheduled scale-to-zero, start/stop of RDS/ECS, environment inventories). Experience with Docker image build, lightening/hardening, and ECR (or equivalent registries). Experience with Systems Manager, EventBridge/scheduling patterns, and App Auto Scaling for ECS. Experience with SonarQube or other automated quality/security scanning in CI. Experience with environment factories/bootstrap modules that provision accounts or shared platform baselines. Ability to obtain U.S. Security Clearance.
TypeScript Developer Own Full-Stack Architecture in a High-Impact Consulting Environment This Jobot Job is hosted by: Andrew Nguyen Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: We are a high-end technology consulting firm based in the Northern Virginia area. Our customers routinely call upon us to solve some of the largest scale and hardest problems in computer science and software development. If you have a solid grounding in software engineering, continuous delivery, and computer science, and are looking for a career opportunity to grow and leverage those skills to the fullest while working on cutting edge technologies - Here is the place to be! Why join us? 120-150k Base! 15% Annual Bonuses! Remote Schedule! 401K Matching! Accelerated Career Growth! Challenging Problems! Job Details We are looking for a talented senior full-stack TypeScript software engineer with Devops chops who is passionate about technology to join our growing team of product, technology, and software professionals. The initial assignment for the new position is to develop a loan origination system for a financial services enterprise. The successful candidate will work with highly experienced team leads and have an opportunity to learn new technologies, while refining fundamental skills. JOB RESPONSIBILITIES Design and build a loan origination system using Node, Apollo GraphQL, Angular, Camunda, and a suite of AWS components including but not limited to EKS, Lambda, S3, MSK, and Aurora. The components are primarily backend systems, but some frontend development will be needed. Work with tech leads and the product team to help determine functional requirements for the system. Contribute as member of an Agile team and promote Agile practices Proactively collaborate with our team on development and knowledge sharing Qualifications Senior-level experience building GraphQL servers, including defining schemas, implementing resolvers, and producing GraphQL APIs. Experience implementing GraphQL federation or federated graph architectures across multiple services. Strong proficiency in TypeScript for backend or full-stack development. Experience consuming GraphQL APIs on the client side using tools such as Apollo Client or similar. Experience developing server-side applications with Node.js. Hands-on experience deploying or supporting applications in AWS environments. Experience developing frontend applications using React or Angular. Ability to design and optimize GraphQL schemas and queries to ensure efficient data fetching between frontend and backend services. Experience collaborating across frontend and backend teams to support scalable GraphQL-based architectures. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
11/01/2026
Full time
TypeScript Developer Own Full-Stack Architecture in a High-Impact Consulting Environment This Jobot Job is hosted by: Andrew Nguyen Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: We are a high-end technology consulting firm based in the Northern Virginia area. Our customers routinely call upon us to solve some of the largest scale and hardest problems in computer science and software development. If you have a solid grounding in software engineering, continuous delivery, and computer science, and are looking for a career opportunity to grow and leverage those skills to the fullest while working on cutting edge technologies - Here is the place to be! Why join us? 120-150k Base! 15% Annual Bonuses! Remote Schedule! 401K Matching! Accelerated Career Growth! Challenging Problems! Job Details We are looking for a talented senior full-stack TypeScript software engineer with Devops chops who is passionate about technology to join our growing team of product, technology, and software professionals. The initial assignment for the new position is to develop a loan origination system for a financial services enterprise. The successful candidate will work with highly experienced team leads and have an opportunity to learn new technologies, while refining fundamental skills. JOB RESPONSIBILITIES Design and build a loan origination system using Node, Apollo GraphQL, Angular, Camunda, and a suite of AWS components including but not limited to EKS, Lambda, S3, MSK, and Aurora. The components are primarily backend systems, but some frontend development will be needed. Work with tech leads and the product team to help determine functional requirements for the system. Contribute as member of an Agile team and promote Agile practices Proactively collaborate with our team on development and knowledge sharing Qualifications Senior-level experience building GraphQL servers, including defining schemas, implementing resolvers, and producing GraphQL APIs. Experience implementing GraphQL federation or federated graph architectures across multiple services. Strong proficiency in TypeScript for backend or full-stack development. Experience consuming GraphQL APIs on the client side using tools such as Apollo Client or similar. Experience developing server-side applications with Node.js. Hands-on experience deploying or supporting applications in AWS environments. Experience developing frontend applications using React or Angular. Ability to design and optimize GraphQL schemas and queries to ensure efficient data fetching between frontend and backend services. Experience collaborating across frontend and backend teams to support scalable GraphQL-based architectures. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Job Description Job Description Senior DevOps for Pienso Funding $7M Founded 2016 Remote Salary $150k - $200k Seed Company Skills: Ansible, Bash, Python, Terraform, Docker, AWS, GCP, Azure Citizenship and Green card only You will work on cutting-edge technology to help architect Pienso's on-premise and multi-cloud infrastructure. You will help define best principles and practices for our microservices initiatives while building out a high-performance horizontally scaled machine learning architecture. Have an expert level understanding of Terraform and Ansible in order to support both multi-cloud and on-premise customers. Work closely with the core engineering team to iterate on existing Docker Swarm infrastructure and Jenkins CI pipelines strategies. Have an expert-level understanding of AWS / GCP / Azure and related tooling. Bring an expert-level understanding of Docker containerization and orchestration. Ensure continued success of our containerization strategy by advising on persistence and parameterization requirements for new services. Advise on infrastructure goals while keeping an eye on developer productivity and security. Help ensure operational integrity by advising on uptime requirements, data backups, maintenance planning, and swarm migration strategies. Requirements: 5+ years of production DevOps experience 3+ years of traditional software development experience Professional experience with each of the major cloud providers ( GCP / Azure / AWS ) Must be fluent in Terraform / Ansible / Bash / Python Strong understanding of Postgres Administration Experience building and maintaining distributed microservices; debugging and monitoring live production environments with Docker. Experience working at a venture-backed early-stage startup B.S., or M.S., in Computer Science or equivalent work experience. Our Stack: Infrastructure: Terraform / Ansible / Docker Swarm / AWS / GCP / Azure Languages: Python / JavaScript / TypeScript / Node Storage: PostgreSQL / Redis / Elasticsearch / Minio MicroServices / Continuous Deployment On-Premise first / Multi Cloud
11/01/2026
Full time
Job Description Job Description Senior DevOps for Pienso Funding $7M Founded 2016 Remote Salary $150k - $200k Seed Company Skills: Ansible, Bash, Python, Terraform, Docker, AWS, GCP, Azure Citizenship and Green card only You will work on cutting-edge technology to help architect Pienso's on-premise and multi-cloud infrastructure. You will help define best principles and practices for our microservices initiatives while building out a high-performance horizontally scaled machine learning architecture. Have an expert level understanding of Terraform and Ansible in order to support both multi-cloud and on-premise customers. Work closely with the core engineering team to iterate on existing Docker Swarm infrastructure and Jenkins CI pipelines strategies. Have an expert-level understanding of AWS / GCP / Azure and related tooling. Bring an expert-level understanding of Docker containerization and orchestration. Ensure continued success of our containerization strategy by advising on persistence and parameterization requirements for new services. Advise on infrastructure goals while keeping an eye on developer productivity and security. Help ensure operational integrity by advising on uptime requirements, data backups, maintenance planning, and swarm migration strategies. Requirements: 5+ years of production DevOps experience 3+ years of traditional software development experience Professional experience with each of the major cloud providers ( GCP / Azure / AWS ) Must be fluent in Terraform / Ansible / Bash / Python Strong understanding of Postgres Administration Experience building and maintaining distributed microservices; debugging and monitoring live production environments with Docker. Experience working at a venture-backed early-stage startup B.S., or M.S., in Computer Science or equivalent work experience. Our Stack: Infrastructure: Terraform / Ansible / Docker Swarm / AWS / GCP / Azure Languages: Python / JavaScript / TypeScript / Node Storage: PostgreSQL / Redis / Elasticsearch / Minio MicroServices / Continuous Deployment On-Premise first / Multi Cloud
Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking a Senior Staff Applications Engineer to own how Spark answers the question of technical fit. You will build and maintain the evaluation framework that determines whether a site, partnership, or commercial opportunity is viable for the Spark modular data center (MDC) and Spark-Liquid (DLC) product lines, and you will support the Energy Development Group (EDG), business development, and partner teams as they apply it. When an opportunity is undefined, unconventional, or contested, you are the Spark team's point of contact, the person who answers the hard product questions and delivers the technical verdict. Spark is on a path to deploy hundreds of megawatts of modular capacity, and every megawatt of it begins as an unqualified site on a map. Your judgment about where this product can be applied, not the design of the product itself, is what converts that pipeline into deployable capacity. What You'll Be Working On: Product Authority & Opportunity Qualification Qualification Framework: Build and maintain the standardized screening criteria, scoring model, decision thresholds, and report format that define what makes a site or opportunity viable for Spark deployments. Keep it current as the product roadmap evolves, and keep a record of past calls and their rationale. Team Enablement: Equip EDG, business development, and partner teams to apply the framework themselves on standard opportunities. Train, document, and iterate so routine qualification does not depend on a single point of failure, you. Escalated Technical Judgment: Serve as the Spark team's point of contact for opportunities the framework cannot resolve, including undefined sites, non-standard configurations, and contested calls. Deliver a clear fit, conditional fit, or no-fit verdict with the engineering rationale behind it. Speed Discipline: Turn around escalated feasibility assessments in days, not weeks. Frame the problem tightly enough that deeper analysis, when required, lands on the respective engineering discipline ready to be worked. Deviation & Exception Management: Identify where an opportunity requires deviation from the standard Spark configuration, quantify the engineering cost and schedule impact, and route it to the responsible engineering discipline for disposition. New Application Assessment: Evaluate technical fit for non-standard applications such as edge deployments, distributed energy assets, co-located industrial sites, and third-party colocation and shell-rent arrangements, and define what the product would need to change to serve them. Roadmap Feedback Loop: Feed recurring field constraints back to Spark design engineering and R&D as prioritized product requirements. You are the closed loop between what the market presents and what the product can absorb. Site & Partner Engagement EDG Partnership: Serve as Spark's dedicated technical counterpart to the Energy Development Group across the full site pipeline, from initial screen through definitive agreement. Spark Fit Assessment: Evaluate candidate sites and opportunities against Spark module requirements, covering power, thermal, civil, and physical interface, and define what the site must deliver at the module boundary. Field Validation: Conduct site walks alongside EDG, developers, and utility counterparties, converting observations into Spark product requirements and a maintained risk register. Technical Communication & Diligence Diligence Support: Provide the technical inputs that Finance requires to model an opportunity, including module configuration, power and cooling assumptions, and site-specific efficiency and derate factors. Executive Communication: Translate multi-discipline engineering tradeoffs into clear go/no-go decision frameworks for commercial and executive stakeholders. What You'll Bring to the Team: Professional Experience: 10+ years of progressive engineering experience spanning data center infrastructure, power generation or utility interconnection, industrial capital projects, or modular and containerized systems. Broad Engineering Fluency: Working fluency across data center infrastructure disciplines including electrical (MV/LV distribution, switchgear, transformers), mechanical/thermal (DLC, CDUs, heat rejection), and civil/structural (foundations, seismic/wind loading, rigging). First-Principles Decision Making: Track record of making feasibility calls from first principles under incomplete information, with direct accountability for recommendations carrying real capital consequences. Technical Counterparty Credibility: Proven ability to hold technical credibility with external developers, utilities, enterprise customers, and executives while keeping opportunities moving rapidly. Unit Economics Command: Ability to connect engineering decisions directly to $/MW, capex, PUE, and deployment schedules. Product Authority Track Record: Demonstrated depth on a specific engineered product or platform, where you were the person others relied on for an authoritative answer on capabilities and limits. Mountaineer Spirit: Relentless technical rigor, comfort with ambiguity, a safety-first culture, the judgment to say no early, and the discipline to make calls when perfect information is unavailable. Education: Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a closely related engineering discipline. Bonus Points Experience with modular, containerized, or prefabricated infrastructure product lines. Familiarity with agency certification and AHJ coordination for modular electrical equipment across varied jurisdictions. Deep familiarity with energy development, interconnection processes/queues, and behind-the-meter site configurations. This Role Is Not a Good Fit If: You prefer purely theoretical design work over applied, rapid feasibility assessments. You require complete data and fully finalized engineering designs before making a technical recommendation. You struggle to communicate complex engineering tradeoffs to commercial partners or executive stakeholders. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $190,000-$215,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. () Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
11/01/2026
Full time
Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking a Senior Staff Applications Engineer to own how Spark answers the question of technical fit. You will build and maintain the evaluation framework that determines whether a site, partnership, or commercial opportunity is viable for the Spark modular data center (MDC) and Spark-Liquid (DLC) product lines, and you will support the Energy Development Group (EDG), business development, and partner teams as they apply it. When an opportunity is undefined, unconventional, or contested, you are the Spark team's point of contact, the person who answers the hard product questions and delivers the technical verdict. Spark is on a path to deploy hundreds of megawatts of modular capacity, and every megawatt of it begins as an unqualified site on a map. Your judgment about where this product can be applied, not the design of the product itself, is what converts that pipeline into deployable capacity. What You'll Be Working On: Product Authority & Opportunity Qualification Qualification Framework: Build and maintain the standardized screening criteria, scoring model, decision thresholds, and report format that define what makes a site or opportunity viable for Spark deployments. Keep it current as the product roadmap evolves, and keep a record of past calls and their rationale. Team Enablement: Equip EDG, business development, and partner teams to apply the framework themselves on standard opportunities. Train, document, and iterate so routine qualification does not depend on a single point of failure, you. Escalated Technical Judgment: Serve as the Spark team's point of contact for opportunities the framework cannot resolve, including undefined sites, non-standard configurations, and contested calls. Deliver a clear fit, conditional fit, or no-fit verdict with the engineering rationale behind it. Speed Discipline: Turn around escalated feasibility assessments in days, not weeks. Frame the problem tightly enough that deeper analysis, when required, lands on the respective engineering discipline ready to be worked. Deviation & Exception Management: Identify where an opportunity requires deviation from the standard Spark configuration, quantify the engineering cost and schedule impact, and route it to the responsible engineering discipline for disposition. New Application Assessment: Evaluate technical fit for non-standard applications such as edge deployments, distributed energy assets, co-located industrial sites, and third-party colocation and shell-rent arrangements, and define what the product would need to change to serve them. Roadmap Feedback Loop: Feed recurring field constraints back to Spark design engineering and R&D as prioritized product requirements. You are the closed loop between what the market presents and what the product can absorb. Site & Partner Engagement EDG Partnership: Serve as Spark's dedicated technical counterpart to the Energy Development Group across the full site pipeline, from initial screen through definitive agreement. Spark Fit Assessment: Evaluate candidate sites and opportunities against Spark module requirements, covering power, thermal, civil, and physical interface, and define what the site must deliver at the module boundary. Field Validation: Conduct site walks alongside EDG, developers, and utility counterparties, converting observations into Spark product requirements and a maintained risk register. Technical Communication & Diligence Diligence Support: Provide the technical inputs that Finance requires to model an opportunity, including module configuration, power and cooling assumptions, and site-specific efficiency and derate factors. Executive Communication: Translate multi-discipline engineering tradeoffs into clear go/no-go decision frameworks for commercial and executive stakeholders. What You'll Bring to the Team: Professional Experience: 10+ years of progressive engineering experience spanning data center infrastructure, power generation or utility interconnection, industrial capital projects, or modular and containerized systems. Broad Engineering Fluency: Working fluency across data center infrastructure disciplines including electrical (MV/LV distribution, switchgear, transformers), mechanical/thermal (DLC, CDUs, heat rejection), and civil/structural (foundations, seismic/wind loading, rigging). First-Principles Decision Making: Track record of making feasibility calls from first principles under incomplete information, with direct accountability for recommendations carrying real capital consequences. Technical Counterparty Credibility: Proven ability to hold technical credibility with external developers, utilities, enterprise customers, and executives while keeping opportunities moving rapidly. Unit Economics Command: Ability to connect engineering decisions directly to $/MW, capex, PUE, and deployment schedules. Product Authority Track Record: Demonstrated depth on a specific engineered product or platform, where you were the person others relied on for an authoritative answer on capabilities and limits. Mountaineer Spirit: Relentless technical rigor, comfort with ambiguity, a safety-first culture, the judgment to say no early, and the discipline to make calls when perfect information is unavailable. Education: Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a closely related engineering discipline. Bonus Points Experience with modular, containerized, or prefabricated infrastructure product lines. Familiarity with agency certification and AHJ coordination for modular electrical equipment across varied jurisdictions. Deep familiarity with energy development, interconnection processes/queues, and behind-the-meter site configurations. This Role Is Not a Good Fit If: You prefer purely theoretical design work over applied, rapid feasibility assessments. You require complete data and fully finalized engineering designs before making a technical recommendation. You struggle to communicate complex engineering tradeoffs to commercial partners or executive stakeholders. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $190,000-$215,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. () Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Credence has an immediate opening for a Senior Applications Engineer who will be primarily responsible for supporting the Defense Logistics Agency, Defense Automated Addressing Systems (DAAS), AI/ML program. The Senior Applications Engineer analyzes and studies complex system requirements and leads the design and implementation of software tools and subsystems that support software reuse and domain analyses. This is a hands-on role that pairs deep applications engineering with front-end UI/UX development: you will be handed real enterprise applications with real user friction, and part of your mandate is to diagnose why users aren't engaging and rebuild experiences - interfaces, dashboards, and data visualizations surfacing AI/ML outputs - that they actually want to use. You will manage software development and support efforts using formal specifications, data flow diagrams, and other accepted design techniques and Computer-Aided Software Engineering (CASE) tools, while providing reliable cost and schedule estimates to program leadership. To succeed in this role, you should combine deep hands-on engineering expertise with modern front-end skills, the ability to guide development teams, improve existing systems, and enforce disciplined configuration management practices in support of DAAS AI/ML modernization efforts. Responsibilities include, but are not limited to the duties listed below Front-End Engineering & UI/UX Architecting and building performant, responsive, accessible (WCAG 2.1 AA) user interfaces using React/Next.js with TypeScript, HTML5, and CSS3 Auditing existing applications to identify user adoption barriers through heuristic analysis, user research, and behavioral data, and translating insights into measurable improvements in engagement and task completion Designing and building interactive dashboards and data visualization layers (D3.js, Chart.js, or similar) that surface AI/ML outputs, analytics, and operational metrics to end users Developing reusable component libraries and design systems that scale across multiple products Leveraging AI coding assistants (e.g., GitHub Copilot, Cursor) as a productivity multiplier within disciplined, secure development workflows Technical Leadership & Delivery Mentoring junior developers on the project team, raising the front-end skill level across the program Analyzing and studying complex system requirements to inform software design and implementation decisions Designing software tools and subsystems to support software reuse and domain analyses, and managing their implementation Managing software development and support using formal specifications, data flow diagrams, other accepted design techniques, and Computer-Aided Software Engineering (CASE) tools Estimating software development costs and schedule, and communicating estimates and risks to program and project leadership Reviewing existing programs and assisting in making refinements, reducing operating time, and improving current techniques Supervising software configuration management, including version control, change control, and release integrity across the development lifecycle Contributing to code reviews, CI/CD pipelines (Jenkins, Git), artifact and dependency governance (Sonatype Nexus), and agile ceremonies (JIRA) Collaborating with cross-functional teams, developers, analysts, and stakeholders to deliver software solutions that meet or exceed client expectations Documenting and communicating the results of your efforts AI/ML Collaboration Collaborating with data engineers and ML teams to ensure AI/ML outputs are represented accurately and meaningfully in front-end dashboards and visualizations Developing working familiarity with the team's AI/ML tech stack sufficient to design effective interfaces around it (deep hands-on ML model development is not required - see Preferred Qualifications) Related duties or special projects as assigned Requirements US citizen with the ability to obtain a security clearance is required BA/BS in a technical discipline from an accredited university At least ten (10) years of applicable experience in applications engineering, software development, or a related discipline Demonstrated experience analyzing complex system requirements and designing software tools and subsystems Experience managing software development efforts using formal specifications, data flow diagrams, and other accepted design techniques and CASE tools Demonstrated ability to estimate software development costs and schedules Experience with software configuration management tools, systems, and processes Demonstrated experience developing and deploying machine learning models in operational or production environments Experience engineering AI-driven anomaly detection models (e.g., time-series forecasting approaches such as Prophet) to monitor API traffic or system telemetry 5+ years of hands-on experience in UI/UX design and front-end development, with a portfolio demonstrating measurable impact on user experience Proven track record of improving adoption or usability on complex enterprise or government applications - fixing existing products, not just building new ones Expert-level proficiency in React, Next.js, TypeScript, and HTML/CSS, with deep familiarity with WCAG 2.1 accessibility standards Experience with data visualization libraries (D3.js, Chart.js, Recharts, or similar) and a solid understanding of UX research methods (usability testing, journey mapping, heuristic evaluation) Proficiency with Git, JIRA, Jenkins, and Sonatype Nexus for artifact management, dependency governance, and secure software supply chain practices Desired Technical Skills Languages: Python, Golang, C++, C, SQL, Java Cloud & Big Data: AWS (CLI, EC2, S3), Hadoop, Snowflake, Databricks, PySpark, Teradata, Oracle, SQL Server, Azure Machine Learning & Analytics: XGBoost, SVM, Random Forest, kNN, Cosine Similarity, NLP, Alteryx, AWS SageMaker, Tableau Tools/Frameworks: Git, GitHub, Flask, NodeJS, ReactJS, Next.js, TypeScript, D3.js, Chart.js, Recharts, REST API, Django, Docker, Kubernetes, Terraform, Jenkins, JIRA, Sonatype Nexus, GitHub Copilot/Cursor Desired Certifications AWS Certified Machine Learning - Specialty CompTIA Security+ ce AWS Certified Solutions Architect Salary Range: $150,000 - $180,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Free Food & Snacks Wellness Resources Stock Option Plan
11/01/2026
Full time
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Credence has an immediate opening for a Senior Applications Engineer who will be primarily responsible for supporting the Defense Logistics Agency, Defense Automated Addressing Systems (DAAS), AI/ML program. The Senior Applications Engineer analyzes and studies complex system requirements and leads the design and implementation of software tools and subsystems that support software reuse and domain analyses. This is a hands-on role that pairs deep applications engineering with front-end UI/UX development: you will be handed real enterprise applications with real user friction, and part of your mandate is to diagnose why users aren't engaging and rebuild experiences - interfaces, dashboards, and data visualizations surfacing AI/ML outputs - that they actually want to use. You will manage software development and support efforts using formal specifications, data flow diagrams, and other accepted design techniques and Computer-Aided Software Engineering (CASE) tools, while providing reliable cost and schedule estimates to program leadership. To succeed in this role, you should combine deep hands-on engineering expertise with modern front-end skills, the ability to guide development teams, improve existing systems, and enforce disciplined configuration management practices in support of DAAS AI/ML modernization efforts. Responsibilities include, but are not limited to the duties listed below Front-End Engineering & UI/UX Architecting and building performant, responsive, accessible (WCAG 2.1 AA) user interfaces using React/Next.js with TypeScript, HTML5, and CSS3 Auditing existing applications to identify user adoption barriers through heuristic analysis, user research, and behavioral data, and translating insights into measurable improvements in engagement and task completion Designing and building interactive dashboards and data visualization layers (D3.js, Chart.js, or similar) that surface AI/ML outputs, analytics, and operational metrics to end users Developing reusable component libraries and design systems that scale across multiple products Leveraging AI coding assistants (e.g., GitHub Copilot, Cursor) as a productivity multiplier within disciplined, secure development workflows Technical Leadership & Delivery Mentoring junior developers on the project team, raising the front-end skill level across the program Analyzing and studying complex system requirements to inform software design and implementation decisions Designing software tools and subsystems to support software reuse and domain analyses, and managing their implementation Managing software development and support using formal specifications, data flow diagrams, other accepted design techniques, and Computer-Aided Software Engineering (CASE) tools Estimating software development costs and schedule, and communicating estimates and risks to program and project leadership Reviewing existing programs and assisting in making refinements, reducing operating time, and improving current techniques Supervising software configuration management, including version control, change control, and release integrity across the development lifecycle Contributing to code reviews, CI/CD pipelines (Jenkins, Git), artifact and dependency governance (Sonatype Nexus), and agile ceremonies (JIRA) Collaborating with cross-functional teams, developers, analysts, and stakeholders to deliver software solutions that meet or exceed client expectations Documenting and communicating the results of your efforts AI/ML Collaboration Collaborating with data engineers and ML teams to ensure AI/ML outputs are represented accurately and meaningfully in front-end dashboards and visualizations Developing working familiarity with the team's AI/ML tech stack sufficient to design effective interfaces around it (deep hands-on ML model development is not required - see Preferred Qualifications) Related duties or special projects as assigned Requirements US citizen with the ability to obtain a security clearance is required BA/BS in a technical discipline from an accredited university At least ten (10) years of applicable experience in applications engineering, software development, or a related discipline Demonstrated experience analyzing complex system requirements and designing software tools and subsystems Experience managing software development efforts using formal specifications, data flow diagrams, and other accepted design techniques and CASE tools Demonstrated ability to estimate software development costs and schedules Experience with software configuration management tools, systems, and processes Demonstrated experience developing and deploying machine learning models in operational or production environments Experience engineering AI-driven anomaly detection models (e.g., time-series forecasting approaches such as Prophet) to monitor API traffic or system telemetry 5+ years of hands-on experience in UI/UX design and front-end development, with a portfolio demonstrating measurable impact on user experience Proven track record of improving adoption or usability on complex enterprise or government applications - fixing existing products, not just building new ones Expert-level proficiency in React, Next.js, TypeScript, and HTML/CSS, with deep familiarity with WCAG 2.1 accessibility standards Experience with data visualization libraries (D3.js, Chart.js, Recharts, or similar) and a solid understanding of UX research methods (usability testing, journey mapping, heuristic evaluation) Proficiency with Git, JIRA, Jenkins, and Sonatype Nexus for artifact management, dependency governance, and secure software supply chain practices Desired Technical Skills Languages: Python, Golang, C++, C, SQL, Java Cloud & Big Data: AWS (CLI, EC2, S3), Hadoop, Snowflake, Databricks, PySpark, Teradata, Oracle, SQL Server, Azure Machine Learning & Analytics: XGBoost, SVM, Random Forest, kNN, Cosine Similarity, NLP, Alteryx, AWS SageMaker, Tableau Tools/Frameworks: Git, GitHub, Flask, NodeJS, ReactJS, Next.js, TypeScript, D3.js, Chart.js, Recharts, REST API, Django, Docker, Kubernetes, Terraform, Jenkins, JIRA, Sonatype Nexus, GitHub Copilot/Cursor Desired Certifications AWS Certified Machine Learning - Specialty CompTIA Security+ ce AWS Certified Solutions Architect Salary Range: $150,000 - $180,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Free Food & Snacks Wellness Resources Stock Option Plan
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
11/01/2026
Full time
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PIfcbc5-
11/01/2026
Full time
About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PIfcbc5-
Job Description Job Description Description: CREA, LLC is a full-service low-income housing tax credit (LIHTC) syndicator forming long-term relationships with investors and developers that cultivate success and improve lives. With over 20 years in affordable housing, CREA has raised $14.1 billion - resulting in the formation of 106K+ homes within 1,122 communities across the country. Thanks to the contribution of over 130 employees, CREA continues to look for talented and passionate individuals who are excited about opportunities to grow with us into the future. Physical Presence: In-Office Tue - Thu; Flexible Mon & Fri Open to: Indianapolis, IN, or Boston, MA Reports to: VP, Software Development Work Authorization: CREA does not provide employment visa sponsorship. Candidates must be authorized to work in the United States without current or future sponsorship from CREA. Position Summary: We are seeking an experienced AVP / Senior Azure DevOps Developer with a minimum of 7 years of relevant professional experience; 10+ years is preferred. This hands-on leadership role combines Azure engineering, DevSecOps, infrastructure automation, full-stack software development, and Microsoft 365 integration. The successful candidate will help modernize applications, strengthen cloud operations, improve reliability, and establish scalable engineering practices. Primary Responsibilities: Azure Cloud Engineering & Operations Design, deploy, configure, and maintain secure, scalable Azure environments across development, test, and production. Support Azure services including App Service, Functions, Virtual Machines, Storage, Key Vault, Monitor, Log Analytics, Azure SQL Database, SQL Managed Instance, and private networking. Implement monitoring, alerting, logging, backup, disaster recovery, reliability, and operational support practices. Apply cloud governance, tagging, capacity planning, cost optimization, and platform standards. DevOps, CI/CD & Infrastructure as Code Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions for application and infrastructure releases. Automate infrastructure provisioning through Terraform and/or Azure Bicep using reusable, source-controlled modules. Automate configuration, deployments, testing, approvals, rollback, and release validation using YAML, PowerShell, Bash, or Python. Advance DevSecOps practices by integrating code quality, dependency, secret, and security controls into delivery pipelines. Full-Stack Application Development Design, develop, test, and maintain responsive web applications using Angular, TypeScript, JavaScript, HTML, and CSS. Develop and support backend applications and services using PHP and Laravel. Create secure REST APIs, reusable services, background jobs, and integrations with enterprise systems. Troubleshoot across front-end, API, database, identity, network, and cloud hosting layers. Microsoft 365 Add-ins & Integrations Develop and support Microsoft Office Add-ins, including Outlook, Excel, and Word Add-ins. Integrate applications with Microsoft 365, SharePoint Online, and Microsoft Graph API. Implement secure authentication using Microsoft Entra ID, OAuth 2.0, OpenID Connect, single sign-on, managed identities, and RBAC. Use Power Automate or Power Apps when appropriate for low-code workflow and integration scenarios. Additional Responsibilities: Data, Database & Integration Develop and optimize solutions using Microsoft SQL Server, T-SQL, Azure SQL Database, and Azure SQL Managed Instance. Create and maintain database objects, data access patterns, migration scripts, interfaces, and system integrations. Collaborate with data and reporting teams on data quality, performance, secure connectivity, and integration requirements. Security, Compliance & Reliability Apply secure coding, least privilege, secrets management, encryption, network segmentation, and identity-first design practices. Partner with cybersecurity and compliance teams on vulnerabilities, audit evidence, access controls, and remediation. Participate in incident response, root cause analysis, problem management, and continuous improvement. Technical Leadership & Collaboration Provide hands-on technical leadership, architecture guidance, code reviews, engineering standards, and mentoring. Work with business, engineers, vendors, and business stakeholders within Agile delivery practices. Produce architecture diagrams, technical specifications, deployment runbooks, operating procedures, and troubleshooting guides. Requirements: Bachelor's degree in computer science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Minimum 7 years of professional experience across software development, Azure cloud engineering, DevOps, or platform operations. Hands-on experience deploying and supporting production workloads in Microsoft Azure. Strong development experience with Angular and TypeScript, together with PHP and Laravel. Practical experience creating and troubleshooting CI/CD pipelines and source-control workflows. Experience with Infrastructure as Code using Terraform, Azure Bicep, or an equivalent technology. Experience developing and consuming REST APIs and integrating applications with identity and enterprise platforms. Working knowledge of SQL Server, T-SQL, and Azure database services. Proficiency with at least one automation language such as PowerShell, Bash, or Python. Demonstrated technical leadership, troubleshooting, documentation, communication, and cross-functional collaboration skills. Preferred: 10+ years of relevant professional experience across software development, Azure cloud engineering, DevOps, or platform operations. Experience developing Microsoft Office Add-ins for Outlook, Excel, or Word. Experience with Microsoft Graph API, SharePoint Online, Entra ID application registrations, and single sign-on. Experience with Docker and container-based delivery; exposure to Azure Kubernetes Service is beneficial. Experience with Power Platform, Azure API Management, Microsoft Fabric, Power BI, or Azure AI services. Experience modernizing on-premises applications and databases for Azure. Experience in regulated or audit-focused environments. Microsoft certifications such as AZ-104, AZ-204, AZ-305, or AZ-400. Core Competencies: Cloud: Azure App Service, Functions, VMs, Storage, Key Vault, Monitor, Log Analytics, networking DevOps: Azure DevOps, GitHub Actions, Git, YAML, release automation, testing, approvals, rollback Infrastructure as Code: Azure Bicep, reusable modules and environment configuration Development: Angular, TypeScript, JavaScript, HTML, CSS, PHP, Laravel Microsoft Integration: Office Add-ins, Microsoft Graph, SharePoint Online, Entra ID, OAuth 2.0, OpenID Connect Data: SQL Server, T-SQL, Azure SQL Database, SQL Managed Instance, REST/JSON Automation : PowerShell, Bash, Python; Power Automate and Power Apps beneficial Our Values: We work as a family, investing in each other, worthy causes, and the communities we serve. We have integrity in all that we do; we embrace differences and treat others with kindness and respect. We believe that, with teamwork, we can accomplish anything and pursue inventive solutions for our clients. Compensation Compensation for this position is determined based on factors such as education, qualifications, relevant experience, and geographic location. Boston, MA: $135,000 - $155,000 Indianapolis, IN: $110,000 - $130,000 Notice of AI Use in Job Application Review As part of our commitment in creating a fair, efficient, and consistent hiring process we may use artificial intelligence (AI) to help our recruiting teams organize, summarize, and analyze information provided by candidates, including resumes, application responses, and other materials submitted during the application process. AI may be used to identify patterns, highlight relevant skills and experience, and assist in comparing a candidate's qualifications with the requirements of a specific role. These tools are to improve efficiency and consistency while supporting more informed hiring decisions, which will ultimately be made by the hiring team.
10/31/2026
Full time
Job Description Job Description Description: CREA, LLC is a full-service low-income housing tax credit (LIHTC) syndicator forming long-term relationships with investors and developers that cultivate success and improve lives. With over 20 years in affordable housing, CREA has raised $14.1 billion - resulting in the formation of 106K+ homes within 1,122 communities across the country. Thanks to the contribution of over 130 employees, CREA continues to look for talented and passionate individuals who are excited about opportunities to grow with us into the future. Physical Presence: In-Office Tue - Thu; Flexible Mon & Fri Open to: Indianapolis, IN, or Boston, MA Reports to: VP, Software Development Work Authorization: CREA does not provide employment visa sponsorship. Candidates must be authorized to work in the United States without current or future sponsorship from CREA. Position Summary: We are seeking an experienced AVP / Senior Azure DevOps Developer with a minimum of 7 years of relevant professional experience; 10+ years is preferred. This hands-on leadership role combines Azure engineering, DevSecOps, infrastructure automation, full-stack software development, and Microsoft 365 integration. The successful candidate will help modernize applications, strengthen cloud operations, improve reliability, and establish scalable engineering practices. Primary Responsibilities: Azure Cloud Engineering & Operations Design, deploy, configure, and maintain secure, scalable Azure environments across development, test, and production. Support Azure services including App Service, Functions, Virtual Machines, Storage, Key Vault, Monitor, Log Analytics, Azure SQL Database, SQL Managed Instance, and private networking. Implement monitoring, alerting, logging, backup, disaster recovery, reliability, and operational support practices. Apply cloud governance, tagging, capacity planning, cost optimization, and platform standards. DevOps, CI/CD & Infrastructure as Code Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions for application and infrastructure releases. Automate infrastructure provisioning through Terraform and/or Azure Bicep using reusable, source-controlled modules. Automate configuration, deployments, testing, approvals, rollback, and release validation using YAML, PowerShell, Bash, or Python. Advance DevSecOps practices by integrating code quality, dependency, secret, and security controls into delivery pipelines. Full-Stack Application Development Design, develop, test, and maintain responsive web applications using Angular, TypeScript, JavaScript, HTML, and CSS. Develop and support backend applications and services using PHP and Laravel. Create secure REST APIs, reusable services, background jobs, and integrations with enterprise systems. Troubleshoot across front-end, API, database, identity, network, and cloud hosting layers. Microsoft 365 Add-ins & Integrations Develop and support Microsoft Office Add-ins, including Outlook, Excel, and Word Add-ins. Integrate applications with Microsoft 365, SharePoint Online, and Microsoft Graph API. Implement secure authentication using Microsoft Entra ID, OAuth 2.0, OpenID Connect, single sign-on, managed identities, and RBAC. Use Power Automate or Power Apps when appropriate for low-code workflow and integration scenarios. Additional Responsibilities: Data, Database & Integration Develop and optimize solutions using Microsoft SQL Server, T-SQL, Azure SQL Database, and Azure SQL Managed Instance. Create and maintain database objects, data access patterns, migration scripts, interfaces, and system integrations. Collaborate with data and reporting teams on data quality, performance, secure connectivity, and integration requirements. Security, Compliance & Reliability Apply secure coding, least privilege, secrets management, encryption, network segmentation, and identity-first design practices. Partner with cybersecurity and compliance teams on vulnerabilities, audit evidence, access controls, and remediation. Participate in incident response, root cause analysis, problem management, and continuous improvement. Technical Leadership & Collaboration Provide hands-on technical leadership, architecture guidance, code reviews, engineering standards, and mentoring. Work with business, engineers, vendors, and business stakeholders within Agile delivery practices. Produce architecture diagrams, technical specifications, deployment runbooks, operating procedures, and troubleshooting guides. Requirements: Bachelor's degree in computer science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Minimum 7 years of professional experience across software development, Azure cloud engineering, DevOps, or platform operations. Hands-on experience deploying and supporting production workloads in Microsoft Azure. Strong development experience with Angular and TypeScript, together with PHP and Laravel. Practical experience creating and troubleshooting CI/CD pipelines and source-control workflows. Experience with Infrastructure as Code using Terraform, Azure Bicep, or an equivalent technology. Experience developing and consuming REST APIs and integrating applications with identity and enterprise platforms. Working knowledge of SQL Server, T-SQL, and Azure database services. Proficiency with at least one automation language such as PowerShell, Bash, or Python. Demonstrated technical leadership, troubleshooting, documentation, communication, and cross-functional collaboration skills. Preferred: 10+ years of relevant professional experience across software development, Azure cloud engineering, DevOps, or platform operations. Experience developing Microsoft Office Add-ins for Outlook, Excel, or Word. Experience with Microsoft Graph API, SharePoint Online, Entra ID application registrations, and single sign-on. Experience with Docker and container-based delivery; exposure to Azure Kubernetes Service is beneficial. Experience with Power Platform, Azure API Management, Microsoft Fabric, Power BI, or Azure AI services. Experience modernizing on-premises applications and databases for Azure. Experience in regulated or audit-focused environments. Microsoft certifications such as AZ-104, AZ-204, AZ-305, or AZ-400. Core Competencies: Cloud: Azure App Service, Functions, VMs, Storage, Key Vault, Monitor, Log Analytics, networking DevOps: Azure DevOps, GitHub Actions, Git, YAML, release automation, testing, approvals, rollback Infrastructure as Code: Azure Bicep, reusable modules and environment configuration Development: Angular, TypeScript, JavaScript, HTML, CSS, PHP, Laravel Microsoft Integration: Office Add-ins, Microsoft Graph, SharePoint Online, Entra ID, OAuth 2.0, OpenID Connect Data: SQL Server, T-SQL, Azure SQL Database, SQL Managed Instance, REST/JSON Automation : PowerShell, Bash, Python; Power Automate and Power Apps beneficial Our Values: We work as a family, investing in each other, worthy causes, and the communities we serve. We have integrity in all that we do; we embrace differences and treat others with kindness and respect. We believe that, with teamwork, we can accomplish anything and pursue inventive solutions for our clients. Compensation Compensation for this position is determined based on factors such as education, qualifications, relevant experience, and geographic location. Boston, MA: $135,000 - $155,000 Indianapolis, IN: $110,000 - $130,000 Notice of AI Use in Job Application Review As part of our commitment in creating a fair, efficient, and consistent hiring process we may use artificial intelligence (AI) to help our recruiting teams organize, summarize, and analyze information provided by candidates, including resumes, application responses, and other materials submitted during the application process. AI may be used to identify patterns, highlight relevant skills and experience, and assist in comparing a candidate's qualifications with the requirements of a specific role. These tools are to improve efficiency and consistency while supporting more informed hiring decisions, which will ultimately be made by the hiring team.
Job Description Job Description Title: Senior Linux & Middleware Engineer (RHEL / JBoss EAP) Location: 4000 LUXOTTICA PL MASON OH 45040 Duration: 3-6 months with possible extension as needed Work Model: (3 Days Onsite 2 days' Work Form Home) The hourly Pay rate is $66.81 hr. W2 All Inclusive no benefits (Monday to Friday 9:00 AM - 5:00 PM Half an hour for Lunch) Key Responsibilities Linux & Middleware Administration Administer, maintain, patch, monitor, and troubleshoot Linux environments, preferably Red Hat Enterprise Linux (RHEL). Install, configure, maintain, and troubleshoot Apache HTTP Server, Docker, NGINX, and Red Hat JBoss Enterprise Application Platform (EAP). Support JBoss configurations including JVM settings, application deployments, data sources, certificates, logging, clustering, and environment-specific configuration. Analyze system and application logs to identify performance, configuration, connectivity, and availability issues. Support SSL/TLS certificates, keystores, truststores, and related application connectivity. Java Application Support Possess a working knowledge of Java/Jakarta EE applications and be able to review Java code, stack traces, configuration files, and logs to assist with troubleshooting. Work closely with development teams to diagnose application, JVM, middleware, and infrastructure-related problems. Troubleshoot issues involving JVM memory, threads, garbage collection, connection pools, application dependencies, and service integrations. Build & Deployment Support Support and troubleshoot application build and deployment processes across development, test, and production environments. Assist in diagnosing failed builds, deployment failures, configuration issues, dependency problems, permissions, and environment differences. Understand modern CI/CD concepts, Git-based source control, build pipelines, and release processes. Partner with Development and DevOps teams to improve deployment reliability and reduce manual intervention. Networking & Infrastructure Coordination Possess a solid understanding of networking concepts including TCP/IP, DNS, routing, firewalls, ports, load balancing, SSL/TLS, NAT, and network connectivity. Understand VIPs, load balancers, firewall rules, and site-to-site (S2S) VPNs well enough to identify requirements and submit accurate network requests. Troubleshoot application connectivity using tools such as curl, openssl, nslookup/dig, traceroute, netstat/ss, and related Linux utilities. Partner effectively with Network and Security teams to diagnose connectivity issues and implement infrastructure changes. Required Qualifications 5+ years of Linux systems administration or equivalent enterprise infrastructure experience. Strong hands-on experience with Red Hat Enterprise Linux (RHEL) or comparable Linux distributions. Experience administering and troubleshooting Apache HTTP Server. Experience administering and troubleshooting Red Hat JBoss EAP. Working knowledge of Java/Jakarta EE applications, including the ability to interpret application logs, stack traces, JVM errors, and basic Java code. Experience troubleshooting application builds and deployments. Understanding of Git, CI/CD pipelines, and automated build/deployment processes. Strong networking fundamentals and the ability to translate application requirements into well-defined network requests. Experience troubleshooting complex issues that span application, middleware, operating system, database connectivity, and network layers. Strong communication and documentation skills with the ability to collaborate across Development, Infrastructure, Network, Security, and Operations teams. Preferred Qualifications Experience with Jira for incident, change, problem, and work tracking. Experience with GitLab, Jenkins, Ansible, or similar CI/CD and automation technologies. Experience supporting highly available, business-critical enterprise applications. Familiarity with load-balancing technologies such as F5 BIG-IP. Experience with monitoring/APM platforms such as Dynatrace, Splunk, or similar tools. Experience supporting applications that integrate with Oracle databases. Basic scripting experience with Bash, Python, or similar technologies. Prior hands-on application development experience (even small) particularly with Java-based enterprise applications, is a plus and will be valuable when troubleshooting application, build, deployment, and runtime issues. Key Competencies Strong troubleshooting and root-cause-analysis skills Ability to troubleshoot across the application, middleware, OS, and network stack Comfortable reviewing application code without requiring a software developer background Strong ownership and follow-through Ability to work effectively during production incidents and high-priority deployments Strong cross-functional communication skills Ability to translate technical requirements between Development and Infrastructure teams Comments for Suppliers: What Success Looks Like This individual will serve as a key technical bridge between Development, DevOps, Middleware, Linux, Network, and Security teams. Success in this role means not simply administering Linux servers, but understanding how the complete application stack works well enough to quickly determine whether an issue originates in the application, Java/JVM, JBoss, Apache, Linux operating system, deployment pipeline, or network and drive it toward resolution.
10/31/2026
Full time
Job Description Job Description Title: Senior Linux & Middleware Engineer (RHEL / JBoss EAP) Location: 4000 LUXOTTICA PL MASON OH 45040 Duration: 3-6 months with possible extension as needed Work Model: (3 Days Onsite 2 days' Work Form Home) The hourly Pay rate is $66.81 hr. W2 All Inclusive no benefits (Monday to Friday 9:00 AM - 5:00 PM Half an hour for Lunch) Key Responsibilities Linux & Middleware Administration Administer, maintain, patch, monitor, and troubleshoot Linux environments, preferably Red Hat Enterprise Linux (RHEL). Install, configure, maintain, and troubleshoot Apache HTTP Server, Docker, NGINX, and Red Hat JBoss Enterprise Application Platform (EAP). Support JBoss configurations including JVM settings, application deployments, data sources, certificates, logging, clustering, and environment-specific configuration. Analyze system and application logs to identify performance, configuration, connectivity, and availability issues. Support SSL/TLS certificates, keystores, truststores, and related application connectivity. Java Application Support Possess a working knowledge of Java/Jakarta EE applications and be able to review Java code, stack traces, configuration files, and logs to assist with troubleshooting. Work closely with development teams to diagnose application, JVM, middleware, and infrastructure-related problems. Troubleshoot issues involving JVM memory, threads, garbage collection, connection pools, application dependencies, and service integrations. Build & Deployment Support Support and troubleshoot application build and deployment processes across development, test, and production environments. Assist in diagnosing failed builds, deployment failures, configuration issues, dependency problems, permissions, and environment differences. Understand modern CI/CD concepts, Git-based source control, build pipelines, and release processes. Partner with Development and DevOps teams to improve deployment reliability and reduce manual intervention. Networking & Infrastructure Coordination Possess a solid understanding of networking concepts including TCP/IP, DNS, routing, firewalls, ports, load balancing, SSL/TLS, NAT, and network connectivity. Understand VIPs, load balancers, firewall rules, and site-to-site (S2S) VPNs well enough to identify requirements and submit accurate network requests. Troubleshoot application connectivity using tools such as curl, openssl, nslookup/dig, traceroute, netstat/ss, and related Linux utilities. Partner effectively with Network and Security teams to diagnose connectivity issues and implement infrastructure changes. Required Qualifications 5+ years of Linux systems administration or equivalent enterprise infrastructure experience. Strong hands-on experience with Red Hat Enterprise Linux (RHEL) or comparable Linux distributions. Experience administering and troubleshooting Apache HTTP Server. Experience administering and troubleshooting Red Hat JBoss EAP. Working knowledge of Java/Jakarta EE applications, including the ability to interpret application logs, stack traces, JVM errors, and basic Java code. Experience troubleshooting application builds and deployments. Understanding of Git, CI/CD pipelines, and automated build/deployment processes. Strong networking fundamentals and the ability to translate application requirements into well-defined network requests. Experience troubleshooting complex issues that span application, middleware, operating system, database connectivity, and network layers. Strong communication and documentation skills with the ability to collaborate across Development, Infrastructure, Network, Security, and Operations teams. Preferred Qualifications Experience with Jira for incident, change, problem, and work tracking. Experience with GitLab, Jenkins, Ansible, or similar CI/CD and automation technologies. Experience supporting highly available, business-critical enterprise applications. Familiarity with load-balancing technologies such as F5 BIG-IP. Experience with monitoring/APM platforms such as Dynatrace, Splunk, or similar tools. Experience supporting applications that integrate with Oracle databases. Basic scripting experience with Bash, Python, or similar technologies. Prior hands-on application development experience (even small) particularly with Java-based enterprise applications, is a plus and will be valuable when troubleshooting application, build, deployment, and runtime issues. Key Competencies Strong troubleshooting and root-cause-analysis skills Ability to troubleshoot across the application, middleware, OS, and network stack Comfortable reviewing application code without requiring a software developer background Strong ownership and follow-through Ability to work effectively during production incidents and high-priority deployments Strong cross-functional communication skills Ability to translate technical requirements between Development and Infrastructure teams Comments for Suppliers: What Success Looks Like This individual will serve as a key technical bridge between Development, DevOps, Middleware, Linux, Network, and Security teams. Success in this role means not simply administering Linux servers, but understanding how the complete application stack works well enough to quickly determine whether an issue originates in the application, Java/JVM, JBoss, Apache, Linux operating system, deployment pipeline, or network and drive it toward resolution.
Job Description Job Description Please note: This role is based in Atlanta, GA. In-office presence is required four days per week. About Ntegral Ntegral is an AI-first technology company specializing in cloud marketplace solutions across Microsoft Azure, AWS, Oracle Cloud Infrastructure (OCI), and Google Cloud Platform. We operate at the intersection of automation, AI, and cloud infrastructure, delivering scalable solutions to enterprise customers through hyperscaler marketplaces. Position Overview Ntegral is seeking a Senior DevOps / Multi-Cloud Delivery Lead to own the infrastructure and automated delivery pipeline that powers our marketplace operations. The automation framework is already built and tested - this person's job is to own it, maintain it, extend it, and handle platform changes as they arise. This is a hands-on technical lead role. The right candidate is senior enough to understand complex cloud infrastructure, provide day-to-day technical direction to a junior engineer, and operate with a high degree of autonomy in a lean, AI-first environment. The ideal candidate thinks in systems - understanding how infrastructure changes ripple across multiple platforms simultaneously - and makes sound technical decisions independently, especially under time pressure. They absorb platform changes and new tooling rapidly, proactively identify risks and improvements without waiting to be directed, and bring precision to every layer of a complex automated system where small errors have downstream consequences. They are reliable, consistent, and effective at coordinating workstreams across engineering and product functions. Key Responsibilities Own, maintain, and extend Ntegral's automated marketplace publishing pipeline across Azure, AWS, OCI, and GCP Manage end-to-end build, deploy, test, and submission workflows for marketplace solutions Monitor system performance and ensure solutions operate within platform specifications and compliance requirements Handle platform updates, certification changes, and hyperscaler policy changes as they arise Provide day-to-day technical direction to the existing Azure Cloud Specialist Collaborate with the Full Stack Developer and Product Manager to align deployment timelines with product launches Analyze and resolve infrastructure issues, adapting automation to maintain efficiency at scale Document operational processes and technical procedures to support knowledge transfer and team growth Stay current with hyperscaler platform updates, certifications, and marketplace requirements across all four platforms Technical Requirements Microsoft Azure certification required (AZ-104 Administrator Associate or AZ-400 DevOps Engineer Expert preferred) AWS certification required (AWS Certified DevOps Engineer - Professional or AWS Certified SysOps Administrator) GCP and OCI certifications preferred (OCI certifications available through Oracle University) Proficiency in infrastructure-as-code tools (Terraform, Ansible, or equivalent) Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployment Proficiency in scripting languages (Python, Bash, or equivalent) AI literacy is required. Must be comfortable working in an environment where automation and AI tools are core to daily operations (e.g., using AI-assisted development tools, writing and refining prompts, and critically evaluating AI-generated output as a standard part of workflows) Demonstrated experience managing multi-cloud environments across two or more hyperscalers Preferred Qualifications Experience with hyperscaler marketplace publishing (Azure Marketplace, AWS Marketplace, OCI Marketplace, or GCP Marketplace) Experience providing technical direction to junior engineers or contractors Familiarity with SEO standards for marketplace listing optimization Education & Experience Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent work experience. A minimum of 5 years of DevOps or cloud infrastructure experience required, with at least 2 years in a senior or lead capacity managing multi-cloud environments. Powered by JazzHR G1ynTDbN0V
10/30/2026
Full time
Job Description Job Description Please note: This role is based in Atlanta, GA. In-office presence is required four days per week. About Ntegral Ntegral is an AI-first technology company specializing in cloud marketplace solutions across Microsoft Azure, AWS, Oracle Cloud Infrastructure (OCI), and Google Cloud Platform. We operate at the intersection of automation, AI, and cloud infrastructure, delivering scalable solutions to enterprise customers through hyperscaler marketplaces. Position Overview Ntegral is seeking a Senior DevOps / Multi-Cloud Delivery Lead to own the infrastructure and automated delivery pipeline that powers our marketplace operations. The automation framework is already built and tested - this person's job is to own it, maintain it, extend it, and handle platform changes as they arise. This is a hands-on technical lead role. The right candidate is senior enough to understand complex cloud infrastructure, provide day-to-day technical direction to a junior engineer, and operate with a high degree of autonomy in a lean, AI-first environment. The ideal candidate thinks in systems - understanding how infrastructure changes ripple across multiple platforms simultaneously - and makes sound technical decisions independently, especially under time pressure. They absorb platform changes and new tooling rapidly, proactively identify risks and improvements without waiting to be directed, and bring precision to every layer of a complex automated system where small errors have downstream consequences. They are reliable, consistent, and effective at coordinating workstreams across engineering and product functions. Key Responsibilities Own, maintain, and extend Ntegral's automated marketplace publishing pipeline across Azure, AWS, OCI, and GCP Manage end-to-end build, deploy, test, and submission workflows for marketplace solutions Monitor system performance and ensure solutions operate within platform specifications and compliance requirements Handle platform updates, certification changes, and hyperscaler policy changes as they arise Provide day-to-day technical direction to the existing Azure Cloud Specialist Collaborate with the Full Stack Developer and Product Manager to align deployment timelines with product launches Analyze and resolve infrastructure issues, adapting automation to maintain efficiency at scale Document operational processes and technical procedures to support knowledge transfer and team growth Stay current with hyperscaler platform updates, certifications, and marketplace requirements across all four platforms Technical Requirements Microsoft Azure certification required (AZ-104 Administrator Associate or AZ-400 DevOps Engineer Expert preferred) AWS certification required (AWS Certified DevOps Engineer - Professional or AWS Certified SysOps Administrator) GCP and OCI certifications preferred (OCI certifications available through Oracle University) Proficiency in infrastructure-as-code tools (Terraform, Ansible, or equivalent) Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployment Proficiency in scripting languages (Python, Bash, or equivalent) AI literacy is required. Must be comfortable working in an environment where automation and AI tools are core to daily operations (e.g., using AI-assisted development tools, writing and refining prompts, and critically evaluating AI-generated output as a standard part of workflows) Demonstrated experience managing multi-cloud environments across two or more hyperscalers Preferred Qualifications Experience with hyperscaler marketplace publishing (Azure Marketplace, AWS Marketplace, OCI Marketplace, or GCP Marketplace) Experience providing technical direction to junior engineers or contractors Familiarity with SEO standards for marketplace listing optimization Education & Experience Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent work experience. A minimum of 5 years of DevOps or cloud infrastructure experience required, with at least 2 years in a senior or lead capacity managing multi-cloud environments. Powered by JazzHR G1ynTDbN0V
Job Description Job Description Who is Credible? Credible is a leading U.S. consumer finance marketplace, transforming the way consumers access and compare financial products. We operate at a consumer and enterprise level. On the consumer side, we help millions of people make smarter financial decisions by comparing personalized, pre-qualified offers across student loans, personal loans, mortgages, credit cards, and insurance - all without impacting their credit score. On the enterprise side, we power financial product comparison and distribution through deep integrations and partnerships with lenders, insurance carriers, and financial institutions, as well as providing marketplace technology and capabilities to third-party partners and distribution channels. About the role Credible's Marketing Automation Team (MAT) owns, operates, and scales Credible's marketing automation ecosystem. We're looking for a temporary Marketing Automation Solutions Architect to cover for a full-time team member on leave for approximately 3-6 months. Engagement type, start date, and end date: TBD. This is a senior, hands-on technical role. You'll step in as the technical point of contact for MAT's platforms, data flows, and integrations, keeping complex, revenue-critical and compliance-critical email programs running smoothly while our architect is out. You'll work across our marketing automation platform, SQL-based audience and data architecture, and the surrounding data ecosystem (Snowflake, dbt, AWS), and partner with Lifecycle Marketing, Business Intelligence, Engineering, Information Security, and Legal/Compliance. The focus is continuity: operating and maintaining what's in place, handling the team's toughest technical questions, and protecting the quality and compliance of everything that ships. We're looking for someone who can ramp quickly, work independently, and leave things well documented. Responsibilities Serve as the day-to-day technical authority for Credible's marketing automation platform: configuration, data flows, integrations, and sync logic with other internal systems Maintain and troubleshoot existing multi-touch email journeys, including entry criteria, branching logic, throttling, and exit rules, and build or modify journeys as needed for in-flight business needs Maintain and extend personalization logic in languages like AMPscript, Liquid, Handlebars, or SSJS Write and review SQL for audience segmentation, data design, and test/control cohort frameworks Partner with the Marketing Automation Team Manager to validate audiences and monitor data flowing into and out of the marketing automation platform Safeguard compliance-sensitive features, including consent and global unsubscribe sync, suppression logic, adverse action notice delivery, and PII handling, ensuring they meet legal, security, and data-privacy requirements (CAN-SPAM, CCPA, GDPR, CASL) Maintain security-sensitive integration patterns, including key/secret rotation and environment handling Participate in MAT's peer/technical review process, holding work to documented coding, naming, and version-control standards Act as the escalation point for difficult technical problems, supporting the Lifecycle Marketing Team with debugging and best practices Translate business and marketing requirements from Lifecycle Marketing into technical designs, working within MAT's Jira/sprint process (work-type tagging, MAT Review gate, sprint planning and review) Work with BI/Data Engineering, Engineering, Information Security, and Legal/Compliance to keep releases secure, compliant, and production-ready Document your work and update architecture notes and technical processes so the handoff back to the full-time architect is seamless Use AI tools (coding assistants, research agents) to speed up research, code review, documentation, and QA Education and experience BA/BS in Marketing, Business, Computer Science, or equivalent experience preferred 5+ years of experience with an enterprise email/marketing automation platform; deep, hands-on experience with Salesforce Marketing Cloud, Braze, Iterable, HubSpot, or similar is required Advanced proficiency in email scripting (AMPscript, Liquid, Handlebars, etc.), including reusable, shared logic (content blocks, config/core patterns) Advanced SQL skills for audience segmentation and complex query logic (joins, window functions, CASE logic, CTEs, etc.) Advanced HTML/CSS for responsive, cross-client email development Experience with API integrations (SOAP/REST), JWT or token-based authentication flows, and secure link/redirect handling Working knowledge of modern data stacks (e.g., Snowflake, dbt) and comfort with Git-based PR workflows Strong understanding of the data privacy and compliance landscape (CAN-SPAM, CCPA, GDPR, CASL) and rigorous handling of PII Experience with Agile/Scrum delivery and Jira-based workflows, including technical/peer review Excellent communication skills, able to translate between marketers, compliance/legal, and engineering stakeholders Ability to ramp quickly and work independently with minimal onboarding Hands-on experience using AI tools (e.g., Cursor, GitHub Copilot, Claude Code) to write, debug, or review SQL and scripting code Tools You'll Use Salesforce Marketing Cloud Braze VS Code / Sublime Text - code editors for HTML, SQL, AMPscript, and SSJS development SQL and Snowflake - querying Credible's data warehouse for segmentation, reporting, and insights Jira - sprint planning, ticket workflow, and MAT's peer review process Confluence - team documentation and operating manual Postman - testing API integrations Email on Acid (or similar) - cross-client email rendering and QA Preferred qualifications Salesforce Marketing Cloud Developer, Consultant, and/or Architect certification, or Braze Certified Technical Marketing Expert/Developer certification Experience in financial services or another highly regulated industry Prior contract or consulting experience, with a track record of getting up to speed quickly in a new environment Why work at Credible? We combine the intelligence, expertise, and confidence of a financial advisor with the approachability and honesty of a friend. In other words, we're the friend you always wish you had in finance. We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we'll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
10/29/2026
Full time
Job Description Job Description Who is Credible? Credible is a leading U.S. consumer finance marketplace, transforming the way consumers access and compare financial products. We operate at a consumer and enterprise level. On the consumer side, we help millions of people make smarter financial decisions by comparing personalized, pre-qualified offers across student loans, personal loans, mortgages, credit cards, and insurance - all without impacting their credit score. On the enterprise side, we power financial product comparison and distribution through deep integrations and partnerships with lenders, insurance carriers, and financial institutions, as well as providing marketplace technology and capabilities to third-party partners and distribution channels. About the role Credible's Marketing Automation Team (MAT) owns, operates, and scales Credible's marketing automation ecosystem. We're looking for a temporary Marketing Automation Solutions Architect to cover for a full-time team member on leave for approximately 3-6 months. Engagement type, start date, and end date: TBD. This is a senior, hands-on technical role. You'll step in as the technical point of contact for MAT's platforms, data flows, and integrations, keeping complex, revenue-critical and compliance-critical email programs running smoothly while our architect is out. You'll work across our marketing automation platform, SQL-based audience and data architecture, and the surrounding data ecosystem (Snowflake, dbt, AWS), and partner with Lifecycle Marketing, Business Intelligence, Engineering, Information Security, and Legal/Compliance. The focus is continuity: operating and maintaining what's in place, handling the team's toughest technical questions, and protecting the quality and compliance of everything that ships. We're looking for someone who can ramp quickly, work independently, and leave things well documented. Responsibilities Serve as the day-to-day technical authority for Credible's marketing automation platform: configuration, data flows, integrations, and sync logic with other internal systems Maintain and troubleshoot existing multi-touch email journeys, including entry criteria, branching logic, throttling, and exit rules, and build or modify journeys as needed for in-flight business needs Maintain and extend personalization logic in languages like AMPscript, Liquid, Handlebars, or SSJS Write and review SQL for audience segmentation, data design, and test/control cohort frameworks Partner with the Marketing Automation Team Manager to validate audiences and monitor data flowing into and out of the marketing automation platform Safeguard compliance-sensitive features, including consent and global unsubscribe sync, suppression logic, adverse action notice delivery, and PII handling, ensuring they meet legal, security, and data-privacy requirements (CAN-SPAM, CCPA, GDPR, CASL) Maintain security-sensitive integration patterns, including key/secret rotation and environment handling Participate in MAT's peer/technical review process, holding work to documented coding, naming, and version-control standards Act as the escalation point for difficult technical problems, supporting the Lifecycle Marketing Team with debugging and best practices Translate business and marketing requirements from Lifecycle Marketing into technical designs, working within MAT's Jira/sprint process (work-type tagging, MAT Review gate, sprint planning and review) Work with BI/Data Engineering, Engineering, Information Security, and Legal/Compliance to keep releases secure, compliant, and production-ready Document your work and update architecture notes and technical processes so the handoff back to the full-time architect is seamless Use AI tools (coding assistants, research agents) to speed up research, code review, documentation, and QA Education and experience BA/BS in Marketing, Business, Computer Science, or equivalent experience preferred 5+ years of experience with an enterprise email/marketing automation platform; deep, hands-on experience with Salesforce Marketing Cloud, Braze, Iterable, HubSpot, or similar is required Advanced proficiency in email scripting (AMPscript, Liquid, Handlebars, etc.), including reusable, shared logic (content blocks, config/core patterns) Advanced SQL skills for audience segmentation and complex query logic (joins, window functions, CASE logic, CTEs, etc.) Advanced HTML/CSS for responsive, cross-client email development Experience with API integrations (SOAP/REST), JWT or token-based authentication flows, and secure link/redirect handling Working knowledge of modern data stacks (e.g., Snowflake, dbt) and comfort with Git-based PR workflows Strong understanding of the data privacy and compliance landscape (CAN-SPAM, CCPA, GDPR, CASL) and rigorous handling of PII Experience with Agile/Scrum delivery and Jira-based workflows, including technical/peer review Excellent communication skills, able to translate between marketers, compliance/legal, and engineering stakeholders Ability to ramp quickly and work independently with minimal onboarding Hands-on experience using AI tools (e.g., Cursor, GitHub Copilot, Claude Code) to write, debug, or review SQL and scripting code Tools You'll Use Salesforce Marketing Cloud Braze VS Code / Sublime Text - code editors for HTML, SQL, AMPscript, and SSJS development SQL and Snowflake - querying Credible's data warehouse for segmentation, reporting, and insights Jira - sprint planning, ticket workflow, and MAT's peer review process Confluence - team documentation and operating manual Postman - testing API integrations Email on Acid (or similar) - cross-client email rendering and QA Preferred qualifications Salesforce Marketing Cloud Developer, Consultant, and/or Architect certification, or Braze Certified Technical Marketing Expert/Developer certification Experience in financial services or another highly regulated industry Prior contract or consulting experience, with a track record of getting up to speed quickly in a new environment Why work at Credible? We combine the intelligence, expertise, and confidence of a financial advisor with the approachability and honesty of a friend. In other words, we're the friend you always wish you had in finance. We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we'll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
10/28/2026
Full time
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
Job Description Job Description Client Name Everest Insurance (Please do not post client name anywhere) Position Title Lead QA Automation Engineer (Playwright) Domain EXP (Finance/Insurance Domain) Location 100 corporate center dr, Warren, NJ 07059, United States (3 Day Onsite) Employment Type C2C Rate $70/hr. All inclusive Indent ID SF_OP_202853-4-4 Job ID 176719 Job Description Role Overview We are looking for an experienced Lead QA Automation Engineer with strong hands-on expertise in Playwright to lead the quality engineering practice across our web applications and services. The ideal candidate has 8 years of progressive QA experience - including automation framework design, test strategy, CI/CD-integrated testing, and team leadership. You will define the quality roadmap, mentor a team of QA engineers, and drive a shift-left, automation-first culture across the engineering organization. Position Details Job Title: Lead QA Automation Engineer (Playwright) Experience: 8 years (with 2 years in a lead/senior role) Employment Type: Full-time Department: Quality Engineering / Engineering Reports To: QA Manager / Director of Engineering Key Responsibilities Test Strategy & Leadership Define and own the end-to-end test strategy across functional, regression, integration, API, performance, and accessibility testing. Establish quality gates, KPIs, and SLAs for releases; report quality metrics to engineering and product leadership. Drive a shift-left quality culture: in-sprint automation, risk-based testing, and early defect prevention. Evaluate and select tools, frameworks, and processes that improve test efficiency and coverage. Automation Framework & Engineering Architect, build, and maintain a scalable, reusable Playwright-based test automation framework (TypeScript/JavaScript). Design Page Object Model (POM) / Screenplay / fixture-based patterns for maintainability and reuse. Implement parallel, cross-browser, and cross-device test execution (Chromium, Firefox, WebKit, mobile emulation). Build API test automation using Playwright API testing, REST Assured, Supertest, or Postman/Newman. Develop and maintain data-driven, BDD (Cucumber/Gherkin), and tag-based test execution strategies. Implement visual regression, accessibility, and contract testing where appropriate. CI/CD & DevOps Integration Integrate automated tests into CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or CircleCI. Configure test environments, containerized test execution (Docker), and cloud test grids (BrowserStack, Sauce Labs, LambdaTest). Implement intelligent retries, flaky test detection, test sharding, and trace/video/screenshot capture for diagnostics. Drive reporting and observability with Allure, Playwright HTML reporter, ReportPortal, or custom dashboards. Team Leadership & Mentorship Lead, mentor, and grow a team of QA and SDET engineers; conduct interviews and hire top quality engineering talent. Perform code reviews of automation scripts, enforce standards, and continuously improve quality of test code. Coach manual testers on transitioning to automation and engineering best practices. Champion Agile/Scrum ceremonies - sprint planning, refinement, retros - from the QA perspective. Collaboration & Delivery Partner with developers, product managers, designers, and DevOps to ensure quality is owned across the team. Participate in design and architecture reviews to identify testability concerns early. Collaborate with performance, security, and SRE teams for non-functional testing (JMeter, k6, Gatling, OWASP ZAP). Drive root cause analysis (RCA) for production incidents and feed learnings back into test coverage. Required Skills & Qualifications Core QA & Automation 8 years of total QA experience with at least 5 years in test automation. 3 years of hands-on, production-grade experience with Playwright (TypeScript preferred). Proven ability to design and scale automation frameworks from scratch. Strong programming skills in TypeScript/JavaScript ; familiarity with Java, Python, or C# is a plus. Deep understanding of QA methodologies - STLC, Agile testing quadrants, risk-based testing, exploratory testing. Playwright Expertise Expert with Playwright Test Runner, fixtures, projects, parallelization, and worker management. Strong command of auto-waiting, locators, role-based selectors, and resilient test design. Experience with Playwright API testing, network mocking, request interception, and route handling. Hands-on with Playwright tracing, codegen, debugging, and CI integration. Experience with component testing using Playwright Experimental Component Testing or similar. Testing Types & Tools API testing with Playwright APIRequest, REST Assured, Postman/Newman, or Supertest. BDD frameworks: Cucumber, Playwright-BDD, SpecFlow, or Behave. Performance/load testing exposure: JMeter, k6, Gatling, or Locust. Accessibility testing: axe-core, Playwright accessibility checks, Lighthouse CI. Visual regression: Playwright snapshots, Percy, Applitools, or Chromatic. Mobile testing exposure: Playwright mobile emulation, Appium, or BrowserStack App Live (nice to have). CI/CD, Cloud & DevOps Hands-on with GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or CircleCI for test pipelines. Experience containerizing tests with Docker; familiarity with Kubernetes is a plus. Familiarity with AWS, Azure, or GCP for test infrastructure and environments. Hands-on with cloud-based test grids: BrowserStack, Sauce Labs, LambdaTest. Quality Engineering Practices Strong grasp of test pyramid, contract testing (Pact), and shift-left/shift-right testing. Experience with test data management, synthetic data generation, and environment management. Familiarity with feature flagging and progressive delivery (LaunchDarkly, Unleash) for safe rollouts. Solid understanding of SDLC, defect lifecycle, and tools like Jira, Xray, Zephyr, TestRail, or qTest. Web & API Fundamentals Strong understanding of HTML, CSS, DOM, JavaScript runtime, and browser internals. Solid grasp of HTTP, REST, GraphQL, WebSockets, authentication (OAuth 2.0, JWT, SSO). Comfortable reading and writing SQL; experience validating data in relational and NoSQL databases. Familiarity with microservices, event-driven architectures, and message brokers (Kafka, RabbitMQ). Leadership & Soft Skills Proven experience leading QA/SDET teams and owning quality for multiple products or modules. Excellent communication, stakeholder management, and reporting skills. Strong analytical, troubleshooting, and root-cause analysis abilities. Ability to balance speed and quality, and to make pragmatic, data-driven trade-offs. Passion for quality, continuous improvement, and engineering excellence. Nice to Have Experience with security testing (OWASP ZAP, Burp Suite) and basic threat modeling. Exposure to AI-assisted testing tools, self-healing tests, or LLM-based test generation. Contributions to open-source QA/automation projects or a strong technical blog. Experience in regulated domains - Insurance, BFSI, or Healthcare. Relevant certifications: ISTQB Advanced, Certified Agile Tester, AWS/Azure certifications. All candidate submissions should come with valid documents and ID proof. Submission Matrix: Name of the candidate Contact# Email ID Location Availability Visa Rate Supplier Name Particular Details LinkedIn profile Link Ptalent Applicant id Job# Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months Skill Matrix: Skill Years of experience
10/28/2026
Full time
Job Description Job Description Client Name Everest Insurance (Please do not post client name anywhere) Position Title Lead QA Automation Engineer (Playwright) Domain EXP (Finance/Insurance Domain) Location 100 corporate center dr, Warren, NJ 07059, United States (3 Day Onsite) Employment Type C2C Rate $70/hr. All inclusive Indent ID SF_OP_202853-4-4 Job ID 176719 Job Description Role Overview We are looking for an experienced Lead QA Automation Engineer with strong hands-on expertise in Playwright to lead the quality engineering practice across our web applications and services. The ideal candidate has 8 years of progressive QA experience - including automation framework design, test strategy, CI/CD-integrated testing, and team leadership. You will define the quality roadmap, mentor a team of QA engineers, and drive a shift-left, automation-first culture across the engineering organization. Position Details Job Title: Lead QA Automation Engineer (Playwright) Experience: 8 years (with 2 years in a lead/senior role) Employment Type: Full-time Department: Quality Engineering / Engineering Reports To: QA Manager / Director of Engineering Key Responsibilities Test Strategy & Leadership Define and own the end-to-end test strategy across functional, regression, integration, API, performance, and accessibility testing. Establish quality gates, KPIs, and SLAs for releases; report quality metrics to engineering and product leadership. Drive a shift-left quality culture: in-sprint automation, risk-based testing, and early defect prevention. Evaluate and select tools, frameworks, and processes that improve test efficiency and coverage. Automation Framework & Engineering Architect, build, and maintain a scalable, reusable Playwright-based test automation framework (TypeScript/JavaScript). Design Page Object Model (POM) / Screenplay / fixture-based patterns for maintainability and reuse. Implement parallel, cross-browser, and cross-device test execution (Chromium, Firefox, WebKit, mobile emulation). Build API test automation using Playwright API testing, REST Assured, Supertest, or Postman/Newman. Develop and maintain data-driven, BDD (Cucumber/Gherkin), and tag-based test execution strategies. Implement visual regression, accessibility, and contract testing where appropriate. CI/CD & DevOps Integration Integrate automated tests into CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or CircleCI. Configure test environments, containerized test execution (Docker), and cloud test grids (BrowserStack, Sauce Labs, LambdaTest). Implement intelligent retries, flaky test detection, test sharding, and trace/video/screenshot capture for diagnostics. Drive reporting and observability with Allure, Playwright HTML reporter, ReportPortal, or custom dashboards. Team Leadership & Mentorship Lead, mentor, and grow a team of QA and SDET engineers; conduct interviews and hire top quality engineering talent. Perform code reviews of automation scripts, enforce standards, and continuously improve quality of test code. Coach manual testers on transitioning to automation and engineering best practices. Champion Agile/Scrum ceremonies - sprint planning, refinement, retros - from the QA perspective. Collaboration & Delivery Partner with developers, product managers, designers, and DevOps to ensure quality is owned across the team. Participate in design and architecture reviews to identify testability concerns early. Collaborate with performance, security, and SRE teams for non-functional testing (JMeter, k6, Gatling, OWASP ZAP). Drive root cause analysis (RCA) for production incidents and feed learnings back into test coverage. Required Skills & Qualifications Core QA & Automation 8 years of total QA experience with at least 5 years in test automation. 3 years of hands-on, production-grade experience with Playwright (TypeScript preferred). Proven ability to design and scale automation frameworks from scratch. Strong programming skills in TypeScript/JavaScript ; familiarity with Java, Python, or C# is a plus. Deep understanding of QA methodologies - STLC, Agile testing quadrants, risk-based testing, exploratory testing. Playwright Expertise Expert with Playwright Test Runner, fixtures, projects, parallelization, and worker management. Strong command of auto-waiting, locators, role-based selectors, and resilient test design. Experience with Playwright API testing, network mocking, request interception, and route handling. Hands-on with Playwright tracing, codegen, debugging, and CI integration. Experience with component testing using Playwright Experimental Component Testing or similar. Testing Types & Tools API testing with Playwright APIRequest, REST Assured, Postman/Newman, or Supertest. BDD frameworks: Cucumber, Playwright-BDD, SpecFlow, or Behave. Performance/load testing exposure: JMeter, k6, Gatling, or Locust. Accessibility testing: axe-core, Playwright accessibility checks, Lighthouse CI. Visual regression: Playwright snapshots, Percy, Applitools, or Chromatic. Mobile testing exposure: Playwright mobile emulation, Appium, or BrowserStack App Live (nice to have). CI/CD, Cloud & DevOps Hands-on with GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or CircleCI for test pipelines. Experience containerizing tests with Docker; familiarity with Kubernetes is a plus. Familiarity with AWS, Azure, or GCP for test infrastructure and environments. Hands-on with cloud-based test grids: BrowserStack, Sauce Labs, LambdaTest. Quality Engineering Practices Strong grasp of test pyramid, contract testing (Pact), and shift-left/shift-right testing. Experience with test data management, synthetic data generation, and environment management. Familiarity with feature flagging and progressive delivery (LaunchDarkly, Unleash) for safe rollouts. Solid understanding of SDLC, defect lifecycle, and tools like Jira, Xray, Zephyr, TestRail, or qTest. Web & API Fundamentals Strong understanding of HTML, CSS, DOM, JavaScript runtime, and browser internals. Solid grasp of HTTP, REST, GraphQL, WebSockets, authentication (OAuth 2.0, JWT, SSO). Comfortable reading and writing SQL; experience validating data in relational and NoSQL databases. Familiarity with microservices, event-driven architectures, and message brokers (Kafka, RabbitMQ). Leadership & Soft Skills Proven experience leading QA/SDET teams and owning quality for multiple products or modules. Excellent communication, stakeholder management, and reporting skills. Strong analytical, troubleshooting, and root-cause analysis abilities. Ability to balance speed and quality, and to make pragmatic, data-driven trade-offs. Passion for quality, continuous improvement, and engineering excellence. Nice to Have Experience with security testing (OWASP ZAP, Burp Suite) and basic threat modeling. Exposure to AI-assisted testing tools, self-healing tests, or LLM-based test generation. Contributions to open-source QA/automation projects or a strong technical blog. Experience in regulated domains - Insurance, BFSI, or Healthcare. Relevant certifications: ISTQB Advanced, Certified Agile Tester, AWS/Azure certifications. All candidate submissions should come with valid documents and ID proof. Submission Matrix: Name of the candidate Contact# Email ID Location Availability Visa Rate Supplier Name Particular Details LinkedIn profile Link Ptalent Applicant id Job# Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months Skill Matrix: Skill Years of experience
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
10/27/2026
Full time
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
Job Description Job Description Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment options, innovative technology, and dedicated client service. We focus on making choices clearer, transitions smoother, and the client experience more delightful. Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our clients, be an excellent business partner, and earn the trust of those who rely on us. The Role Great Gray is looking to add a Senior QA Automation Engineer on our Technology team. As a Senior QA Automation Engineer, you will play a crucial role in championing the quality and reliability of our software by building and maintaining robust automated testing solutions and integrating them into our development process. As a cornerstone part of a cross-functional, agile delivery team you will serve as the champion of quality with full understanding that all members of the team will take their cues from the examples you set. Our teams are empowered to take great latitude with their own process, procedures, and practices but this comes with the implied responsibility for their own outcomes. In this role, you will be uniquely situated to define what "good" looks like and hold us all responsible to get across that line. Location This position will work from our Boston, MA office. Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Visa sponsorship or transfer of an existing visa is not available for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship or transfer. Responsibilities Collaborate closely with developers, product managers, and stakeholders to define clear testing objectives, user stories, and acceptance criteria. Design and architect new automated test suites, and right-sizing solutions to match business needs. Seamlessly integrate automation into CI/CD pipelines to improve efficiency and deployment outcomes. Curate an organized testing strategy to ensure a high-reliability development and deployment environment to support our engineers. Triage and troubleshoot bugs, continuously refining testing strategies to enhance defect detection. Perform various forms of functional and non-functional testing, including performance, load, and security testing. Execute manual testing where necessary to complement automated coverage and validate edge cases. Operate as the business expert in a fast-paced, cross-functional scrum team. Required Qualifications & Experience Bachelor's degree and 5+ years of testing and automation experience, responsible for test design and development. Proficiency with Cypress, Selenium, or Playwright for UI automation. Experience with REST/Web API testing using tools like Postman, SoapUI, or JMeter. Knowledge of performance and load testing methodologies and techniques. Basic understanding of relational database testing (SQL Server) and ability to write SQL queries and manipulate datasets. Working knowledge of cloud-hosted web applications and CI/CD integration. Your standards reflect our core values: Growth Mindset, Disciplined Curiosity, Grit, Results Ownership, Collaboration. Preferred Qualifications & Experience Bachelor's degree and 7+ years of testing and automation experience. Experience building from-scratch test suites and integrating them into CI/CD pipelines. Extensive experience with cloud-based, multi-tenant SaaS platforms. Fintech experience, including knowledge of security, compliance, and regulatory procedures and processes. Experience with both Azure and AWS. Proficiency in React, Angular, and C# based platforms. Experience with SQL automation and Test data management. Experience working with containers for test isolation (Docker). Able to thrive as part of a cross-functional software engineering team (including nearshore and offshore components). Comfortable navigating ambiguity in a dynamic, fast-paced environment. Entrepreneurial mindset to bring best practice ideas to the team. Tech Stack Our current tech stack is a blend of existing and next-gen tools/languages, and like our company itself, our software is always evolving. Frontend: Angular, React Backend: C# .NET Data Layer: MSSQL, Python, Postgres, Databricks Infrastructure: Azure cloud Tooling: Cypress, Docker, GitHub, Cursor, SonarQube Base Pay Range $120,000-$160,000 This base pay range is subject to change and may be modified in the future. The pay range displayed above is the base pay compensation range that Great Gray expects to pay for this position at the time of this posting. Individual compensation within this range, or that may warrant a provision for pay beyond this range, depends on multiple factors, including, but not limited to, candidate's prior education and relevant work experience and training as well as position location and local market demands. Our pay-for-performance culture also includes participation in an annual incentive bonus plan for this position which is not included in the 'Base Pay Range' noted above. Benefits We have a comprehensive and competitive benefits package at Great Gray. Some of the highlights are: Be an integral part of a high-growth organization! Competitive compensation package Group medical, dental and vision insurance Employer-paid life and disability insurance Annual well-being stipend Eligible employees may also contribute to a 401(k) plan with an advantageous employer contribution model, upholding our mission to support our employees in retirement Company Background Great Gray is the leading independent provider of trustee and administrative services to Collective Investment Trusts ("CITs"), with over $385 billion in CIT assets under management, across more than 1,045 funds. We proudly work with more than 80 subadvisors, including leading firms such as AllianceBernstein, American Funds, BlackRock, Franklin Templeton, MetLife, Neuberger Berman, PGIM, PIMCO and Raymond James. CITs are more than just an investment vehicle. They represent a forward-thinking approach to retirement planning. These tax-exempt, pooled investment vehicles are offered to employer-sponsored retirement plans, like 401(k)s. CITs are comparable to mutual funds, but, because they are tailored for the institutional retirement market, they can offer distinct advantages, including efficient administration and cost-effectiveness. CITs have a history dating back over 90 years; but they have gained favor over the past decade, driven by innovations, and Great Gray has been at the forefront. Great Gray has consistently delivered year-over-year growth at an above market rate and is investing in the continued development of its core CIT business as well as complementary administrative services and technology solutions for the retirement market. Madison Dearborn Partners ("MDP") purchased Great Gray from Wilmington Trust in April 2023. As a result, Great Gray is an independent company owned by funds affiliated with MDP. Investor Background MDP is a leading private equity investment firm based in Chicago. Since MDP's formation in 1992, the firm has raised aggregate capital of over $37 billion and has completed over 160 platform investments across nine flagship funds. MDP invests across five dedicated industry verticals, including financial services, healthcare, technology and government services. Equal Employment Opportunity Policy Great Gray Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status or other non-merit factor. Accommodation Statement Great Gray is committed to ensuring individuals with disabilities and/or those who have special needs participate in the workforce and are afforded equal opportunity to apply and compete for jobs. If you would like to contact us regarding the accessibility of our website, need assistance completing the application process, or need to request an accommodation for any part of our application or interview process, please contact us at:
10/20/2026
Full time
Job Description Job Description Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment options, innovative technology, and dedicated client service. We focus on making choices clearer, transitions smoother, and the client experience more delightful. Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our clients, be an excellent business partner, and earn the trust of those who rely on us. The Role Great Gray is looking to add a Senior QA Automation Engineer on our Technology team. As a Senior QA Automation Engineer, you will play a crucial role in championing the quality and reliability of our software by building and maintaining robust automated testing solutions and integrating them into our development process. As a cornerstone part of a cross-functional, agile delivery team you will serve as the champion of quality with full understanding that all members of the team will take their cues from the examples you set. Our teams are empowered to take great latitude with their own process, procedures, and practices but this comes with the implied responsibility for their own outcomes. In this role, you will be uniquely situated to define what "good" looks like and hold us all responsible to get across that line. Location This position will work from our Boston, MA office. Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Visa sponsorship or transfer of an existing visa is not available for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship or transfer. Responsibilities Collaborate closely with developers, product managers, and stakeholders to define clear testing objectives, user stories, and acceptance criteria. Design and architect new automated test suites, and right-sizing solutions to match business needs. Seamlessly integrate automation into CI/CD pipelines to improve efficiency and deployment outcomes. Curate an organized testing strategy to ensure a high-reliability development and deployment environment to support our engineers. Triage and troubleshoot bugs, continuously refining testing strategies to enhance defect detection. Perform various forms of functional and non-functional testing, including performance, load, and security testing. Execute manual testing where necessary to complement automated coverage and validate edge cases. Operate as the business expert in a fast-paced, cross-functional scrum team. Required Qualifications & Experience Bachelor's degree and 5+ years of testing and automation experience, responsible for test design and development. Proficiency with Cypress, Selenium, or Playwright for UI automation. Experience with REST/Web API testing using tools like Postman, SoapUI, or JMeter. Knowledge of performance and load testing methodologies and techniques. Basic understanding of relational database testing (SQL Server) and ability to write SQL queries and manipulate datasets. Working knowledge of cloud-hosted web applications and CI/CD integration. Your standards reflect our core values: Growth Mindset, Disciplined Curiosity, Grit, Results Ownership, Collaboration. Preferred Qualifications & Experience Bachelor's degree and 7+ years of testing and automation experience. Experience building from-scratch test suites and integrating them into CI/CD pipelines. Extensive experience with cloud-based, multi-tenant SaaS platforms. Fintech experience, including knowledge of security, compliance, and regulatory procedures and processes. Experience with both Azure and AWS. Proficiency in React, Angular, and C# based platforms. Experience with SQL automation and Test data management. Experience working with containers for test isolation (Docker). Able to thrive as part of a cross-functional software engineering team (including nearshore and offshore components). Comfortable navigating ambiguity in a dynamic, fast-paced environment. Entrepreneurial mindset to bring best practice ideas to the team. Tech Stack Our current tech stack is a blend of existing and next-gen tools/languages, and like our company itself, our software is always evolving. Frontend: Angular, React Backend: C# .NET Data Layer: MSSQL, Python, Postgres, Databricks Infrastructure: Azure cloud Tooling: Cypress, Docker, GitHub, Cursor, SonarQube Base Pay Range $120,000-$160,000 This base pay range is subject to change and may be modified in the future. The pay range displayed above is the base pay compensation range that Great Gray expects to pay for this position at the time of this posting. Individual compensation within this range, or that may warrant a provision for pay beyond this range, depends on multiple factors, including, but not limited to, candidate's prior education and relevant work experience and training as well as position location and local market demands. Our pay-for-performance culture also includes participation in an annual incentive bonus plan for this position which is not included in the 'Base Pay Range' noted above. Benefits We have a comprehensive and competitive benefits package at Great Gray. Some of the highlights are: Be an integral part of a high-growth organization! Competitive compensation package Group medical, dental and vision insurance Employer-paid life and disability insurance Annual well-being stipend Eligible employees may also contribute to a 401(k) plan with an advantageous employer contribution model, upholding our mission to support our employees in retirement Company Background Great Gray is the leading independent provider of trustee and administrative services to Collective Investment Trusts ("CITs"), with over $385 billion in CIT assets under management, across more than 1,045 funds. We proudly work with more than 80 subadvisors, including leading firms such as AllianceBernstein, American Funds, BlackRock, Franklin Templeton, MetLife, Neuberger Berman, PGIM, PIMCO and Raymond James. CITs are more than just an investment vehicle. They represent a forward-thinking approach to retirement planning. These tax-exempt, pooled investment vehicles are offered to employer-sponsored retirement plans, like 401(k)s. CITs are comparable to mutual funds, but, because they are tailored for the institutional retirement market, they can offer distinct advantages, including efficient administration and cost-effectiveness. CITs have a history dating back over 90 years; but they have gained favor over the past decade, driven by innovations, and Great Gray has been at the forefront. Great Gray has consistently delivered year-over-year growth at an above market rate and is investing in the continued development of its core CIT business as well as complementary administrative services and technology solutions for the retirement market. Madison Dearborn Partners ("MDP") purchased Great Gray from Wilmington Trust in April 2023. As a result, Great Gray is an independent company owned by funds affiliated with MDP. Investor Background MDP is a leading private equity investment firm based in Chicago. Since MDP's formation in 1992, the firm has raised aggregate capital of over $37 billion and has completed over 160 platform investments across nine flagship funds. MDP invests across five dedicated industry verticals, including financial services, healthcare, technology and government services. Equal Employment Opportunity Policy Great Gray Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status or other non-merit factor. Accommodation Statement Great Gray is committed to ensuring individuals with disabilities and/or those who have special needs participate in the workforce and are afforded equal opportunity to apply and compete for jobs. If you would like to contact us regarding the accessibility of our website, need assistance completing the application process, or need to request an accommodation for any part of our application or interview process, please contact us at:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a Senior Platform Engineer, AI Infrastructure to help build and operate the secure, scalable foundation for our AI-driven development organization. This role supports Site Sentry, Maritime Sentry, and Storyline-products delivered as part of the broader Tensorglobe spatial intelligence platform. You will work at the intersection of software engineering, cloud infrastructure, reliability, automation, and performance. You will help development teams move quickly and safely by improving the systems that build, deploy, monitor, and operate mission-critical applications across cloud, on-premises, and edge environments. The ideal candidate is a strong software engineer who can design and develop production-quality solutions, automate repetitive operational work, instrument systems for observability, troubleshoot complex failures, and continuously improve platform performance. Our codebase is primarily Python, and success in this role requires a pragmatic, hands-on approach to engineering and operations. Requirements Put security first: protect company, customer, mission, and operational data through secure-by-design engineering, least-privilege access, secrets management, threat-aware automation, and strong security and compliance practices. Design, implement, and maintain reliable CI/CD pipelines for software projects, including automated testing, quality gates, artifact management, release promotion, rollback, and deployment verification. Automate deployment, scaling, configuration, and monitoring of cloud-based infrastructure using technologies such as Kubernetes, Docker, Terraform, and Google Cloud services including Cloud Run. Troubleshoot infrastructure, deployment, availability, latency, capacity, and performance issues across distributed systems. Collaborate with software development teams to optimize code and services for performance, scalability, reliability, operability, and cost efficiency. Implement and enforce best practices for security, compliance, change management, incident response, and operational readiness. Continuously evaluate and recommend improvements to DevOps, SRE, developer productivity, observability, and platform engineering processes and tools. Demonstrated experience as a full-stack or backend software developer, with the ability to write maintainable production code-not only configuration and infrastructure definitions. Professional experience developing in Python and working with APIs, services, databases, automated tests, and source-control workflows. Strong communication and collaboration skills, with the ability to explain technical tradeoffs and partner effectively with engineering, product, security, and customer-facing teams. Responsibilities Own and improve platform reliability through SRE practices, including service-level objectives, monitoring, alerting, incident response, root-cause analysis, and operational reviews. Lead performance management and optimization for services, infrastructure, Cloud Run workloads, databases, and supporting platform components. Build and maintain deployment automation that makes releases repeatable, observable, secure, and easy to recover. Develop internal tools and platform capabilities in Python to reduce toil, improve developer experience, and make the right operational behavior the easiest behavior. Design and operate observability across logs, metrics, traces, health checks, dashboards, and actionable alerts. Partner with developers to improve application architecture, code quality, resource utilization, scalability, and production readiness. Build, deploy, and maintain on-premises environments at customer sites, including installation, upgrades, configuration, diagnostics, and lifecycle support. Support deployment models that span cloud, customer data centers, and edge environments, adapting engineering practices to security, connectivity, and operational constraints. Participate in technical design reviews, incident response, documentation, and continuous improvement initiatives across the platform and product lifecycle. Nice to Haves Experience with geospatial information systems (GIS), mapping, spatial data, or location-based applications. Experience working with satellite imagery, aerial imagery, remote sensing, computer vision, or other earth-observation data. Prior military, intelligence, defense, national security, or mission operations experience. Experience operating software in disconnected, air-gapped, classified, or otherwise highly controlled environments. Experience with AI/ML platform operations, model-serving infrastructure, evaluation pipelines, or responsible AI practices. Experience with PostgreSQL or other production databases, query and schema optimization, caching, and data lifecycle management. Experience with infrastructure-as-code, GitOps, policy-as-code, and supply-chain security. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
10/05/2026
Full time
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a Senior Platform Engineer, AI Infrastructure to help build and operate the secure, scalable foundation for our AI-driven development organization. This role supports Site Sentry, Maritime Sentry, and Storyline-products delivered as part of the broader Tensorglobe spatial intelligence platform. You will work at the intersection of software engineering, cloud infrastructure, reliability, automation, and performance. You will help development teams move quickly and safely by improving the systems that build, deploy, monitor, and operate mission-critical applications across cloud, on-premises, and edge environments. The ideal candidate is a strong software engineer who can design and develop production-quality solutions, automate repetitive operational work, instrument systems for observability, troubleshoot complex failures, and continuously improve platform performance. Our codebase is primarily Python, and success in this role requires a pragmatic, hands-on approach to engineering and operations. Requirements Put security first: protect company, customer, mission, and operational data through secure-by-design engineering, least-privilege access, secrets management, threat-aware automation, and strong security and compliance practices. Design, implement, and maintain reliable CI/CD pipelines for software projects, including automated testing, quality gates, artifact management, release promotion, rollback, and deployment verification. Automate deployment, scaling, configuration, and monitoring of cloud-based infrastructure using technologies such as Kubernetes, Docker, Terraform, and Google Cloud services including Cloud Run. Troubleshoot infrastructure, deployment, availability, latency, capacity, and performance issues across distributed systems. Collaborate with software development teams to optimize code and services for performance, scalability, reliability, operability, and cost efficiency. Implement and enforce best practices for security, compliance, change management, incident response, and operational readiness. Continuously evaluate and recommend improvements to DevOps, SRE, developer productivity, observability, and platform engineering processes and tools. Demonstrated experience as a full-stack or backend software developer, with the ability to write maintainable production code-not only configuration and infrastructure definitions. Professional experience developing in Python and working with APIs, services, databases, automated tests, and source-control workflows. Strong communication and collaboration skills, with the ability to explain technical tradeoffs and partner effectively with engineering, product, security, and customer-facing teams. Responsibilities Own and improve platform reliability through SRE practices, including service-level objectives, monitoring, alerting, incident response, root-cause analysis, and operational reviews. Lead performance management and optimization for services, infrastructure, Cloud Run workloads, databases, and supporting platform components. Build and maintain deployment automation that makes releases repeatable, observable, secure, and easy to recover. Develop internal tools and platform capabilities in Python to reduce toil, improve developer experience, and make the right operational behavior the easiest behavior. Design and operate observability across logs, metrics, traces, health checks, dashboards, and actionable alerts. Partner with developers to improve application architecture, code quality, resource utilization, scalability, and production readiness. Build, deploy, and maintain on-premises environments at customer sites, including installation, upgrades, configuration, diagnostics, and lifecycle support. Support deployment models that span cloud, customer data centers, and edge environments, adapting engineering practices to security, connectivity, and operational constraints. Participate in technical design reviews, incident response, documentation, and continuous improvement initiatives across the platform and product lifecycle. Nice to Haves Experience with geospatial information systems (GIS), mapping, spatial data, or location-based applications. Experience working with satellite imagery, aerial imagery, remote sensing, computer vision, or other earth-observation data. Prior military, intelligence, defense, national security, or mission operations experience. Experience operating software in disconnected, air-gapped, classified, or otherwise highly controlled environments. Experience with AI/ML platform operations, model-serving infrastructure, evaluation pipelines, or responsible AI practices. Experience with PostgreSQL or other production databases, query and schema optimization, caching, and data lifecycle management. Experience with infrastructure-as-code, GitOps, policy-as-code, and supply-chain security. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Job Description This position follows a hybrid work model and is based Warrendale, PA. The Programmer Analyst III - provides level 3 support services applicable to experience. Full Stack Developer with experience in Micro Services as well as UI Expertise in using Angular and Kotlin and very proficient in UI technologies and experience which supports these technologies, which are Key for our platform UI development. Provides business systems design, analysis and programming services to modify existing programs and write new programs. Assists in maintaining the daily production schedule of core business systems and provide user support/consultation, training and technical, operational and production support. Demonstrates expertise in a variety of the field's concepts, practices, and procedures and incumbent is the subject matter expert in a variety of programming languages and utilities. Possesses an advanced understanding of the organizations products and services. Primary Responsibilities 1. Encode, test, debug and document associated, complex software/programs. 2. Review, analyze, troubleshoot, and modify complex core and customized software. 3. Respond to complex, escalated customer inquiries/requests for technical/operational support. 4. Resolve complex technical matters to meet customer service level agreements. 5. Analyze and/or implement corrective action for root cause analysis/fixes or corrective action of defects. 6. Follow documented Software Development Life-Cycle standards. 7. May provide consultation on complex projects and is considered to be the top level contributor or specialist. 8. Point of contact for higher level or complex issues and will work with senior levels for resolution. 9. This position is full-time and may require after hours or on-call support including, but not limited weekends and evenings. Education/Experience 1. Bachelor's Degree or equivalent in Computer Science, Information Systems, or related field and 6-8 years of relevant experience. 2. Excellent verbal and written communication skills. 3. Must be able to demonstrate a strong understanding in the following areas: Java technologies using Java 1.4 and greater, JSP,XML: Web Technologies, such as HTML, JavaScript. 4. Experience with Oracle database 9 and above and expertise in SQL and PL/SQL development. 5. Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures, work instructions, process maps and/or governmental regulations. 6. Ability to write reports, business correspondence, and procedure manuals. 7 . Ability to effectively present information and respond to questions from a variety of internal and external customers. 8. Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. 9. Basic understanding of and willingness to learn and adopt professional and industry standards. 10. Customer service driven. 11. Strong team player. Requirements, Perks, and Benefits (US Exempt) Physical & Cognitive Requirements (With or Without Accommodation) Ability to follow policies and procedures. Ability to read, write, and interpret information. Ability to add, subtract, multiply, and divide. Ability to use hands to finger, handle, or feel. Ability to sit, walk, or stand for the duration of the shift. Must possess visual acuity to perform essential job functions. Ability to conduct physical tasks with a full range of motion throughout the warehouse environment. Ability to lift/carry items up to 50 pounds. For details on our comprehensive benefits, click here Equal Opportunity Employer FedEx Supply Chain, Inc. is an Equal Opportunity Employer, including veterans and individuals with disabilities. Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (for U.S. applicants and employees only). Please click below to learn more: E-Verify Notice (bilingual) Right to Work Notice (English) / Spanish FedEx Supply Chain is committed to providing access, equal opportunity, and reasonable accommodation for qualified individuals with disabilities in its application procedures, hiring, and other terms and conditions of employment. To request a reasonable accommodation, please contact . Perks and Benefits at FedEx Supply Chain (FSC) Competitive Pay: Competitive wages depending on your location and experience, paid bi-weekly for both full-time and part-time opportunities. 401(k) plan with company match after 1 year Tuition reimbursement program Holiday pay and accrued paid time off programs offering both Vacation and PTO Medical, dental, vision, and voluntary benefits available on day one Basic life insurance Basic AD&D coverage Supplemental Life and Supplemental AD&D Short-Term and Long-Term Disability coverage for full-time employees after 180 days of service Paid parental leave for both moms and dads Paid bereavement and jury duty Note: Pay is based on several factors including, but not limited to, market location and may vary depending on job-related knowledge, skills, education/training, and a candidate's work experience. Job Disclaimer (US) Please note that this job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. The Company reserves the right to modify duties or assign additional responsibilities as necessary to meet business needs.
10/02/2026
Full time
Job Description This position follows a hybrid work model and is based Warrendale, PA. The Programmer Analyst III - provides level 3 support services applicable to experience. Full Stack Developer with experience in Micro Services as well as UI Expertise in using Angular and Kotlin and very proficient in UI technologies and experience which supports these technologies, which are Key for our platform UI development. Provides business systems design, analysis and programming services to modify existing programs and write new programs. Assists in maintaining the daily production schedule of core business systems and provide user support/consultation, training and technical, operational and production support. Demonstrates expertise in a variety of the field's concepts, practices, and procedures and incumbent is the subject matter expert in a variety of programming languages and utilities. Possesses an advanced understanding of the organizations products and services. Primary Responsibilities 1. Encode, test, debug and document associated, complex software/programs. 2. Review, analyze, troubleshoot, and modify complex core and customized software. 3. Respond to complex, escalated customer inquiries/requests for technical/operational support. 4. Resolve complex technical matters to meet customer service level agreements. 5. Analyze and/or implement corrective action for root cause analysis/fixes or corrective action of defects. 6. Follow documented Software Development Life-Cycle standards. 7. May provide consultation on complex projects and is considered to be the top level contributor or specialist. 8. Point of contact for higher level or complex issues and will work with senior levels for resolution. 9. This position is full-time and may require after hours or on-call support including, but not limited weekends and evenings. Education/Experience 1. Bachelor's Degree or equivalent in Computer Science, Information Systems, or related field and 6-8 years of relevant experience. 2. Excellent verbal and written communication skills. 3. Must be able to demonstrate a strong understanding in the following areas: Java technologies using Java 1.4 and greater, JSP,XML: Web Technologies, such as HTML, JavaScript. 4. Experience with Oracle database 9 and above and expertise in SQL and PL/SQL development. 5. Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures, work instructions, process maps and/or governmental regulations. 6. Ability to write reports, business correspondence, and procedure manuals. 7 . Ability to effectively present information and respond to questions from a variety of internal and external customers. 8. Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. 9. Basic understanding of and willingness to learn and adopt professional and industry standards. 10. Customer service driven. 11. Strong team player. Requirements, Perks, and Benefits (US Exempt) Physical & Cognitive Requirements (With or Without Accommodation) Ability to follow policies and procedures. Ability to read, write, and interpret information. Ability to add, subtract, multiply, and divide. Ability to use hands to finger, handle, or feel. Ability to sit, walk, or stand for the duration of the shift. Must possess visual acuity to perform essential job functions. Ability to conduct physical tasks with a full range of motion throughout the warehouse environment. Ability to lift/carry items up to 50 pounds. For details on our comprehensive benefits, click here Equal Opportunity Employer FedEx Supply Chain, Inc. is an Equal Opportunity Employer, including veterans and individuals with disabilities. Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (for U.S. applicants and employees only). Please click below to learn more: E-Verify Notice (bilingual) Right to Work Notice (English) / Spanish FedEx Supply Chain is committed to providing access, equal opportunity, and reasonable accommodation for qualified individuals with disabilities in its application procedures, hiring, and other terms and conditions of employment. To request a reasonable accommodation, please contact . Perks and Benefits at FedEx Supply Chain (FSC) Competitive Pay: Competitive wages depending on your location and experience, paid bi-weekly for both full-time and part-time opportunities. 401(k) plan with company match after 1 year Tuition reimbursement program Holiday pay and accrued paid time off programs offering both Vacation and PTO Medical, dental, vision, and voluntary benefits available on day one Basic life insurance Basic AD&D coverage Supplemental Life and Supplemental AD&D Short-Term and Long-Term Disability coverage for full-time employees after 180 days of service Paid parental leave for both moms and dads Paid bereavement and jury duty Note: Pay is based on several factors including, but not limited to, market location and may vary depending on job-related knowledge, skills, education/training, and a candidate's work experience. Job Disclaimer (US) Please note that this job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. The Company reserves the right to modify duties or assign additional responsibilities as necessary to meet business needs.
Job Description Job Description Posting Title: eCommerce Operation Engineer Groundbreaking advances in synthetic biology achieved at Amyris allow us to create products which are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. The eCommerce platform for the consumer business consists of Shopify, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally-created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. Responsibilities: Develop and support Integrations between Shopify and Boomi Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management using escalations and Vendor support when needed Communicate with business stakeholders, collect requirements, and collaborate with developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Qualifications: Bachelor's degree 5+ years related experience in Full Stack development. 3 to 5 years in enforcing and improving software change management in live operations. 3 or more years' experience in project management in system integration. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary Assertive, adaptable, and demonstrates initiative in a fast-paced environment with competing priorities Proficient with MS Office, Google Suite, and Jira A customer focus, a strong drive for results, and a collaborative team player Experience with Accessible Rich Internet Applications (ARIA) is a big plus.
09/29/2026
Full time
Job Description Job Description Posting Title: eCommerce Operation Engineer Groundbreaking advances in synthetic biology achieved at Amyris allow us to create products which are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. The eCommerce platform for the consumer business consists of Shopify, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally-created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. Responsibilities: Develop and support Integrations between Shopify and Boomi Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management using escalations and Vendor support when needed Communicate with business stakeholders, collect requirements, and collaborate with developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Qualifications: Bachelor's degree 5+ years related experience in Full Stack development. 3 to 5 years in enforcing and improving software change management in live operations. 3 or more years' experience in project management in system integration. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary Assertive, adaptable, and demonstrates initiative in a fast-paced environment with competing priorities Proficient with MS Office, Google Suite, and Jira A customer focus, a strong drive for results, and a collaborative team player Experience with Accessible Rich Internet Applications (ARIA) is a big plus.