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Leidos
Senior Machine Learning Software Engineer
Leidos Manassas, Virginia
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos
Senior Software Engineer & Data Scientist
Leidos Chantilly, Virginia
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver advanced analytics and mission-critical software solutions for government and commercial clients. In this role, you will architect and implement scalable services, data pipelines, and machine learning models that power high-impact systems in national security, health, and engineering. You will collaborate closely with cross-functional teams, translate complex mission needs into robust technical designs, and ensure secure, high-quality, and well-tested code. As a senior contributor, you will mentor others, drive technical decisions, and help shape innovative solutions in a mission-driven, collaborative, and learning-focused environment. Responsibilities Design, build, and deploy scalable software and data solutions for mission-critical systems Develop, train, and optimize machine learning and analytics models Architect cloud-native and distributed data processing pipelines Write clean, secure, and well-tested code following best practices Collaborate with cross-functional teams to translate mission needs into technical solutions Optimize system performance, reliability, and scalability in production environments Guide technical decisions, conduct code reviews, and mentor junior engineers Document system designs, models, and implementation details Ensure compliance with security, privacy, and regulatory requirements Contribute to innovation, prototypes, and continuous improvement initiatives Required Skills Python Java or C++Machine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) Distributed systems and microservices SQL and No SQL databases Linux and containerization (Docker, Kubernetes) Software testing and CI/CDSecure coding and system performance optimization
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver advanced analytics and mission-critical software solutions for government and commercial clients. In this role, you will architect and implement scalable services, data pipelines, and machine learning models that power high-impact systems in national security, health, and engineering. You will collaborate closely with cross-functional teams, translate complex mission needs into robust technical designs, and ensure secure, high-quality, and well-tested code. As a senior contributor, you will mentor others, drive technical decisions, and help shape innovative solutions in a mission-driven, collaborative, and learning-focused environment. Responsibilities Design, build, and deploy scalable software and data solutions for mission-critical systems Develop, train, and optimize machine learning and analytics models Architect cloud-native and distributed data processing pipelines Write clean, secure, and well-tested code following best practices Collaborate with cross-functional teams to translate mission needs into technical solutions Optimize system performance, reliability, and scalability in production environments Guide technical decisions, conduct code reviews, and mentor junior engineers Document system designs, models, and implementation details Ensure compliance with security, privacy, and regulatory requirements Contribute to innovation, prototypes, and continuous improvement initiatives Required Skills Python Java or C++Machine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) Distributed systems and microservices SQL and No SQL databases Linux and containerization (Docker, Kubernetes) Software testing and CI/CDSecure coding and system performance optimization
Leidos
Senior Machine Learning Software Engineer
Leidos Herndon, Virginia
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos
Senior Machine Learning Software Engineer
Leidos Falls Church, Virginia
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos
Senior Machine Learning Software Engineer
Leidos Aldie, Virginia
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this hybrid role, you will build robust services, data pipelines, and production-grade ML models using modern languages, frameworks, and cloud platforms. You will collaborate closely with cross-functional teams, ensuring secure, high-performance systems, and mentor junior staff. Leverage Leidos' mission-driven, collaborative culture to solve complex problems with real-world impact while benefiting from strong pay, benefits, and growth opportunities. Responsibilities Design, develop, and deploy scalable software and data solutions for mission-critical systems Build and optimize data pipelines, ETL/ELT workflows, and analytics services Develop, train, and integrate machine learning models into production applications Collaborate with product owners, architects, and stakeholders to define technical requirements Ensure software quality through code reviews, testing, and best engineering practices Implement security, reliability, and performance tuning for cloud and on-prem solutions Mentor junior engineers and data scientists and promote engineering best practices Document system architecture, data flows, and operational runbooks Required Skills Python Java or C++Machine learning model development Statistical analysis and data modeling SQL and No SQL databases Data pipeline and ETL/ELT development Cloud platforms (AWS, Azure, or GCP) Distributed computing frameworks (e.g., Spark) Software architecture and design patterns CI/CD and automated testing
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this hybrid role, you will build robust services, data pipelines, and production-grade ML models using modern languages, frameworks, and cloud platforms. You will collaborate closely with cross-functional teams, ensuring secure, high-performance systems, and mentor junior staff. Leverage Leidos' mission-driven, collaborative culture to solve complex problems with real-world impact while benefiting from strong pay, benefits, and growth opportunities. Responsibilities Design, develop, and deploy scalable software and data solutions for mission-critical systems Build and optimize data pipelines, ETL/ELT workflows, and analytics services Develop, train, and integrate machine learning models into production applications Collaborate with product owners, architects, and stakeholders to define technical requirements Ensure software quality through code reviews, testing, and best engineering practices Implement security, reliability, and performance tuning for cloud and on-prem solutions Mentor junior engineers and data scientists and promote engineering best practices Document system architecture, data flows, and operational runbooks Required Skills Python Java or C++Machine learning model development Statistical analysis and data modeling SQL and No SQL databases Data pipeline and ETL/ELT development Cloud platforms (AWS, Azure, or GCP) Distributed computing frameworks (e.g., Spark) Software architecture and design patterns CI/CD and automated testing
Leidos
Senior Machine Learning Engineer
Leidos Springfield, Virginia
Leidos seeks a Senior Software Engineer / Data Scientist to build secure, scalable analytics solutions supporting national security, health, and engineering missions. In this role, you will design and implement data-intensive services, machine learning models, and modern cloud-based architectures that turn complex data into actionable insight for government and commercial clients. You will collaborate with cross-functional teams, mentor junior engineers, and champion best practices in software quality, cybersecurity, and MLOps. Leidos offers flexible work options, strong benefits, and extensive professional development in a mission-driven, inclusive culture. Responsibilities Design, build, and optimize scalable data-driven software solutions for mission-critical systems Develop, train, and deploy machine learning and advanced analytics models Collaborate with cross-functional teams to translate mission needs into technical requirements Implement secure, reliable, and high-performance services and data pipelines Review code, mentor junior engineers, and promote engineering best practices Integrate solutions with existing enterprise platforms and government systems Monitor, troubleshoot, and improve production systems and analytics workflows Contribute to technical architecture, design decisions, and documentation Required Skills Python Java or C++Machine learning Statistical modeling SQL and No SQL databases Data engineering and ETLCloud platforms (AWS/Azure/GCP) RESTful APIs and microservices MLOps and model deployment Linux and containerization (Docker/Kubernetes)
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to build secure, scalable analytics solutions supporting national security, health, and engineering missions. In this role, you will design and implement data-intensive services, machine learning models, and modern cloud-based architectures that turn complex data into actionable insight for government and commercial clients. You will collaborate with cross-functional teams, mentor junior engineers, and champion best practices in software quality, cybersecurity, and MLOps. Leidos offers flexible work options, strong benefits, and extensive professional development in a mission-driven, inclusive culture. Responsibilities Design, build, and optimize scalable data-driven software solutions for mission-critical systems Develop, train, and deploy machine learning and advanced analytics models Collaborate with cross-functional teams to translate mission needs into technical requirements Implement secure, reliable, and high-performance services and data pipelines Review code, mentor junior engineers, and promote engineering best practices Integrate solutions with existing enterprise platforms and government systems Monitor, troubleshoot, and improve production systems and analytics workflows Contribute to technical architecture, design decisions, and documentation Required Skills Python Java or C++Machine learning Statistical modeling SQL and No SQL databases Data engineering and ETLCloud platforms (AWS/Azure/GCP) RESTful APIs and microservices MLOps and model deployment Linux and containerization (Docker/Kubernetes)
Leidos
Senior Machine Learning Software Engineer
Leidos Burke, Virginia
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos
Senior Machine Learning Software Engineer
Leidos Sterling, Virginia
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Senior Manager, Data Center Infrastructure - Financial Services
GENWORTH Richmond, Virginia
Genworth is seeking a Senior Manager, Datacenter to lead secure, highly available infrastructure supporting critical financial and insurance systems. In this role, you will oversee day-to-day datacenter operations, capacity planning, vendor management, and disaster recovery across on-premises and hybrid environments. You will drive modernization, automation, and cost optimization while ensuring compliance with financial-services regulations. Collaborating with technology, security, and business stakeholders, you will guide a high-performing team, champion operational excellence, and help safeguard Genworth customers' long-term financial security. Responsibilities Lead day-to-day operations of Genworth's datacenters supporting core financial and insurance systems Ensure high availability, performance, and capacity planning for on-prem and hybrid environments Oversee datacenter security, compliance, and risk management for regulated financial data Manage vendor relationships and service contracts for hardware, colocation, and network services Drive infrastructure modernization, automation, and cloud integration initiatives Develop and manage budgets, forecasts, and cost optimization plans for datacenter services Establish and monitor SLAs, KPIs, and incident/problem management processes Lead and mentor a technical operations team, fostering collaboration and continuous improvement Partner with security, application, and architecture teams on resilience and disaster recovery Ensure adherence to industry and regulatory standards (e.g., SOC, PCI, ISO) as applicable Required Skills Datacenter operations management IT infrastructure (servers, storage, networking) Hybrid/on-prem and cloud integration Disaster recovery and business continuity IT security and compliance in financial services Capacity planning and performance tuning Vendor and contract management IT service management (ITIL, incident/change/problem) Automation and scripting for operations Budgeting and cost optimization
10/31/2026
Full time
Genworth is seeking a Senior Manager, Datacenter to lead secure, highly available infrastructure supporting critical financial and insurance systems. In this role, you will oversee day-to-day datacenter operations, capacity planning, vendor management, and disaster recovery across on-premises and hybrid environments. You will drive modernization, automation, and cost optimization while ensuring compliance with financial-services regulations. Collaborating with technology, security, and business stakeholders, you will guide a high-performing team, champion operational excellence, and help safeguard Genworth customers' long-term financial security. Responsibilities Lead day-to-day operations of Genworth's datacenters supporting core financial and insurance systems Ensure high availability, performance, and capacity planning for on-prem and hybrid environments Oversee datacenter security, compliance, and risk management for regulated financial data Manage vendor relationships and service contracts for hardware, colocation, and network services Drive infrastructure modernization, automation, and cloud integration initiatives Develop and manage budgets, forecasts, and cost optimization plans for datacenter services Establish and monitor SLAs, KPIs, and incident/problem management processes Lead and mentor a technical operations team, fostering collaboration and continuous improvement Partner with security, application, and architecture teams on resilience and disaster recovery Ensure adherence to industry and regulatory standards (e.g., SOC, PCI, ISO) as applicable Required Skills Datacenter operations management IT infrastructure (servers, storage, networking) Hybrid/on-prem and cloud integration Disaster recovery and business continuity IT security and compliance in financial services Capacity planning and performance tuning Vendor and contract management IT service management (ITIL, incident/change/problem) Automation and scripting for operations Budgeting and cost optimization
Senior Director, Data and Actuarial Technology
GENWORTH Richmond, Virginia
Lead strategy, modernization, delivery and operational performance for technology supporting actuarial modeling, enterprise data and analytics. Partner with actuarial, data and insurance leaders to deliver scalable, secure and compliant platforms, data products and applications while managing portfolio performance, resilience, controls, financials and workforce strategy. Responsibilities Define and execute a multi-year data and actuarial technology strategy, architecture, roadmap and investment plan. Advance governed data platforms and products, data quality, lineage, reusable assets and self-service analytics. Lead engineering, integration, business intelligence, actuarial applications and cloud capabilities. Ensure stability, resilience, controls and operational support for critical actuarial and regulatory processes. Partner with business leaders to translate priorities into technology roadmaps and measurable value. Manage portfolio performance, modernization, financials and workforce strategy. Required Skills Data platform strategy Actuarial technology Enterprise architecture Cloud adoption Data governance Data engineering Business intelligence Systems integration Application modernization Production operations
10/31/2026
Full time
Lead strategy, modernization, delivery and operational performance for technology supporting actuarial modeling, enterprise data and analytics. Partner with actuarial, data and insurance leaders to deliver scalable, secure and compliant platforms, data products and applications while managing portfolio performance, resilience, controls, financials and workforce strategy. Responsibilities Define and execute a multi-year data and actuarial technology strategy, architecture, roadmap and investment plan. Advance governed data platforms and products, data quality, lineage, reusable assets and self-service analytics. Lead engineering, integration, business intelligence, actuarial applications and cloud capabilities. Ensure stability, resilience, controls and operational support for critical actuarial and regulatory processes. Partner with business leaders to translate priorities into technology roadmaps and measurable value. Manage portfolio performance, modernization, financials and workforce strategy. Required Skills Data platform strategy Actuarial technology Enterprise architecture Cloud adoption Data governance Data engineering Business intelligence Systems integration Application modernization Production operations
Leidos
Senior Machine Learning Software Engineer
Leidos Chantilly, Virginia
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos
Senior Machine Learning Software Engineer
Leidos Reston, Virginia
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos
Senior Machine Learning Software Engineer
Leidos Merrifield, Virginia
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver secure, scalable, data-driven solutions for mission-critical national security, health, and engineering programs. You will build robust services and data pipelines, develop and deploy machine learning models, and integrate analytics into production applications. Partnering with cross-functional teams, you will translate complex requirements into elegant architectures, uphold security and quality standards, and mentor junior staff in a highly collaborative, mission-focused environment that values innovation, integrity, and continuous learning. Responsibilities Design, build, and maintain scalable software and data pipelines for mission-critical systems Develop and deploy machine learning models and analytical solutions Collaborate with cross-functional teams to translate mission needs into technical solutions Implement secure, reliable, and high-performance services in cloud and on-prem environments Review code, mentor junior engineers, and promote engineering best practices Analyze large, complex datasets to generate actionable insights Integrate analytics and models into production applications and dashboards Ensure compliance with security, governance, and quality standards Contribute to architecture decisions and technical roadmaps Document designs, experiments, and operational runbooks Required Skills Python Java or C++SQLMachine Learning Data Engineering Cloud Platforms (AWS/Azure/GCP) Distributed Systems MLOps/Model Deployment Linux Data Visualization
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver secure, scalable, data-driven solutions for mission-critical national security, health, and engineering programs. You will build robust services and data pipelines, develop and deploy machine learning models, and integrate analytics into production applications. Partnering with cross-functional teams, you will translate complex requirements into elegant architectures, uphold security and quality standards, and mentor junior staff in a highly collaborative, mission-focused environment that values innovation, integrity, and continuous learning. Responsibilities Design, build, and maintain scalable software and data pipelines for mission-critical systems Develop and deploy machine learning models and analytical solutions Collaborate with cross-functional teams to translate mission needs into technical solutions Implement secure, reliable, and high-performance services in cloud and on-prem environments Review code, mentor junior engineers, and promote engineering best practices Analyze large, complex datasets to generate actionable insights Integrate analytics and models into production applications and dashboards Ensure compliance with security, governance, and quality standards Contribute to architecture decisions and technical roadmaps Document designs, experiments, and operational runbooks Required Skills Python Java or C++SQLMachine Learning Data Engineering Cloud Platforms (AWS/Azure/GCP) Distributed Systems MLOps/Model Deployment Linux Data Visualization
IT Manager, Enterprise Systems
Duluth Trading Company Mount Horeb, Wisconsin
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development
10/31/2026
Full time
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development
Boeing
Mission Systems Lead Software Architect
Boeing Berkeley, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Mission Systems Lead Software Architect to join the Air Proprietary 2 Mission Systems team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The Mission Systems Lead Software Architect defines and owns the software architecture for the Mission Systems solution, guides overall design decisions, and manages the architecture through design, implementation, integration, and sustainment. This role will serve as the primary technical point of contact for Mission Systems software across multiple security levels and suppliers. This role sets architecture standards, drives system-level integration and technical conformance, ensures software deliverables are compliant to software design practices and related industry standards. This role will also coordinate with the Digital Engineering Environment team, Systems Engineering, Customers, and Program Leadership., Product Team Architects, and Customers to ensure mission readiness. Position Responsibilities: Develop and maintain the Mission Systems software architecture roadmap and vision working with the Platform Software Architect and Mission Systems Chief Architect Lead and approve the software development plan, including the architecture, major components, and delivery milestones in collaboration with the Platform Software Architect and Mission Systems Chief Architect. Ensures software teams develop, document, and maintain architecture, requirements, algorithms, interfaces, and designs for software systems Ensure teams develop, document, and maintain the software architecture, requirements, algorithms, interfaces, and detailed designs - and that they implement those designs, meet agreed acceptance criteria, and follow required coding standards and SW processes. Design and support the implementation of containerized software architecture Evaluates supplier performance to ensure product and process conformance to roadmaps, industry standards and contracts. Ensures system-level integration and test of software components into Mission Systems SW Suite; coordinate with Product Team Architects and Technical Leads and ensure definition-of-done for targeted events and milestones is met and accepted in a timely manner. Responsible for coordinating across the Mission Systems team, Supply Chain, the Digital Engineering Environment team, and Systems Engineering Trains and mentors others Works independently and provides technical leadership across multidisciplinary (or cross-functional) teams Drive development of documentation and artifacts required for program reviews and customer deliverables Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years' experience programming in C, C++ or C# 5+ years of experience software development, systems engineering or integrations and test experience with mission systems on tactical platforms 5+ years of experience in software architecture and design of embedded software systems 3+ years' experience leading software-related projects or technical teams 3+ years' experience with requirements, design, development, and test of software systems products Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Familiarity with open architecture constructs like Agile Mission Systems Government Reference Architecture (AMS/GRA), Open Mission Systems (OMS), Universal Command and Control Interface (UCI), and Open Container Initiative (OCI) Experience with distributed and containerized software architecture Hands on experience developing on the Linux platform Experience with Agile software development and related processes Familiar with safety critical software development Experience with secure software development environments at various levels of security Active Secret U.S. Security Clearance Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range (Level 5): $177,650 - $240,350 Applications for this position will be accepted until Nov. 06, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See BOEING Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
10/31/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Mission Systems Lead Software Architect to join the Air Proprietary 2 Mission Systems team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The Mission Systems Lead Software Architect defines and owns the software architecture for the Mission Systems solution, guides overall design decisions, and manages the architecture through design, implementation, integration, and sustainment. This role will serve as the primary technical point of contact for Mission Systems software across multiple security levels and suppliers. This role sets architecture standards, drives system-level integration and technical conformance, ensures software deliverables are compliant to software design practices and related industry standards. This role will also coordinate with the Digital Engineering Environment team, Systems Engineering, Customers, and Program Leadership., Product Team Architects, and Customers to ensure mission readiness. Position Responsibilities: Develop and maintain the Mission Systems software architecture roadmap and vision working with the Platform Software Architect and Mission Systems Chief Architect Lead and approve the software development plan, including the architecture, major components, and delivery milestones in collaboration with the Platform Software Architect and Mission Systems Chief Architect. Ensures software teams develop, document, and maintain architecture, requirements, algorithms, interfaces, and designs for software systems Ensure teams develop, document, and maintain the software architecture, requirements, algorithms, interfaces, and detailed designs - and that they implement those designs, meet agreed acceptance criteria, and follow required coding standards and SW processes. Design and support the implementation of containerized software architecture Evaluates supplier performance to ensure product and process conformance to roadmaps, industry standards and contracts. Ensures system-level integration and test of software components into Mission Systems SW Suite; coordinate with Product Team Architects and Technical Leads and ensure definition-of-done for targeted events and milestones is met and accepted in a timely manner. Responsible for coordinating across the Mission Systems team, Supply Chain, the Digital Engineering Environment team, and Systems Engineering Trains and mentors others Works independently and provides technical leadership across multidisciplinary (or cross-functional) teams Drive development of documentation and artifacts required for program reviews and customer deliverables Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years' experience programming in C, C++ or C# 5+ years of experience software development, systems engineering or integrations and test experience with mission systems on tactical platforms 5+ years of experience in software architecture and design of embedded software systems 3+ years' experience leading software-related projects or technical teams 3+ years' experience with requirements, design, development, and test of software systems products Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Familiarity with open architecture constructs like Agile Mission Systems Government Reference Architecture (AMS/GRA), Open Mission Systems (OMS), Universal Command and Control Interface (UCI), and Open Container Initiative (OCI) Experience with distributed and containerized software architecture Hands on experience developing on the Linux platform Experience with Agile software development and related processes Familiar with safety critical software development Experience with secure software development environments at various levels of security Active Secret U.S. Security Clearance Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range (Level 5): $177,650 - $240,350 Applications for this position will be accepted until Nov. 06, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See BOEING Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
Mobile Test Engineer
Ova Technologies New York, New York
Job Description Job Description Mobile Test Engineer Job Description (JD) Job Title Mobile Test Engineer Job Summary We are seeking a skilled Mobile Test Engineer to ensure the quality, performance, usability, and security of Android and iOS mobile applications. The ideal candidate should have experience in manual and automation testing, mobile testing tools such as Appium, API testing, performance testing, and CI/CD integration. The role involves validating mobile applications across multiple devices, operating systems, and network conditions. Key Responsibilities Design, develop, and execute test plans and test cases for mobile applications. Perform manual and automated testing for Android and iOS applications. Develop and maintain mobile automation frameworks using Appium. Validate application functionality, usability, compatibility, performance, and security. Test application behavior across multiple devices, OS versions, and screen sizes. Execute regression, smoke, sanity, integration, and end-to-end testing. Perform API testing using Postman or REST Assured. Identify, report, and track defects using defect management tools. Integrate mobile automation with CI/CD pipelines. Collaborate with developers, product managers, QA teams, and DevOps engineers. Prepare test reports and maintain testing documentation. Required Skills Mobile Testing Android Testing iOS Testing Mobile Application Testing Functional Testing Regression Testing Smoke Testing Sanity Testing Compatibility Testing Installation & Upgrade Testing Localization Testing Accessibility Testing Network Interruption Testing Push Notification Testing Mobile Automation Appium Espresso (Android) XCUITest (iOS) Selenium WebDriver (Hybrid Apps) Programming Languages: Java Python JavaScript C# Automation Frameworks: TestNG JUnit PyTest Cucumber (BDD) Framework Design: Page Object Model (POM) Data-Driven Framework Hybrid Framework Mobile Platforms Android Android Studio ADB (Android Debug Bridge) APK Installation Logcat Emulator Testing iOS Xcode Simulator IPA Installation TestFlight iOS Provisioning API Testing REST API Testing Postman REST Assured JSON Validation XML Validation Database Testing SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: CRUD Operations Data Validation SQL Joins CI/CD & DevOps Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Integrate Appium automation into CI/CD pipelines. Schedule automated mobile regression testing. Publish automation reports. Cloud Device Testing Experience with: BrowserStack Sauce Labs LambdaTest Firebase Test Lab AWS Device Farm Performance Testing Preferred knowledge of: JMeter Android Profiler Xcode Instruments Battery Usage Analysis Memory Leak Detection CPU Usage Monitoring Security Testing Basic understanding of: OWASP Mobile Security Authentication Testing Data Encryption Secure Storage Validation Certificate Pinning Reporting & Defect Management Tools: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting: Extent Reports Allure Reports TestNG Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 2 6 years of experience in mobile application testing. Experience in both Android and iOS platforms. Strong knowledge of Agile/Scrum methodologies. Experience in mobile automation using Appium. Nice to Have Skills Flutter app testing React Native testing Kotlin basics Swift basics Performance testing using JMeter API Automation Playwright or Selenium Firebase Mobile Analytics AI-assisted testing tools Sample Project Responsibilities Automate Android and iOS application testing using Appium. Validate mobile application functionality across different devices and OS versions. Perform API validation for mobile backend services. Execute regression suites in Jenkins. Verify push notifications, offline mode, and network switching scenarios. Test application installation, upgrades, and uninstallation. Perform performance and battery usage testing. Sample Mobile Automation Framework Framework Components Appium Mobile automation Java Programming language TestNG Test execution Maven Build management Page Object Model (POM) Maintainable page classes Extent Reports Test reporting Log4j Logging Git Version control Jenkins CI/CD integration Execution Flow Jenkins triggers the automation suite. Maven downloads dependencies. TestNG executes Appium test cases. Appium communicates with Android/iOS devices or emulators. Test scripts validate UI and functionality. Reports are generated and published. Results are shared with the QA team. Interview Questions Mobile Testing What is mobile application testing? Explain the difference between Android and iOS testing. What types of mobile testing have you performed? How do you test an application on multiple devices? Appium What is Appium? Explain the Appium architecture. What are Desired Capabilities? How do you locate mobile elements? What is the difference between native, hybrid, and mobile web applications? Automation Explain your Appium automation framework. How do you handle synchronization in mobile automation? How do you execute Appium tests in parallel? API & Database How do you validate mobile backend APIs? How do you perform database validation? CI/CD How do you integrate Appium automation with Jenkins? How do you execute mobile automation in a CI/CD pipeline? Scenario-Based How do you test push notifications? How do you test offline mode and network interruptions? How do you automate OTP verification in a mobile application? How do you test an application across different screen sizes and OS versions? Key Skills for Resume Mobile Testing Android Testing iOS Testing Appium Espresso XCUITest Java TestNG Selenium REST API Testing Postman SQL Jenkins Git Maven BrowserStack Firebase Test Lab AWS Device Farm JIRA Agile Testing Performance Testing Mobile Automation Framework CI/CD
10/31/2026
Full time
Job Description Job Description Mobile Test Engineer Job Description (JD) Job Title Mobile Test Engineer Job Summary We are seeking a skilled Mobile Test Engineer to ensure the quality, performance, usability, and security of Android and iOS mobile applications. The ideal candidate should have experience in manual and automation testing, mobile testing tools such as Appium, API testing, performance testing, and CI/CD integration. The role involves validating mobile applications across multiple devices, operating systems, and network conditions. Key Responsibilities Design, develop, and execute test plans and test cases for mobile applications. Perform manual and automated testing for Android and iOS applications. Develop and maintain mobile automation frameworks using Appium. Validate application functionality, usability, compatibility, performance, and security. Test application behavior across multiple devices, OS versions, and screen sizes. Execute regression, smoke, sanity, integration, and end-to-end testing. Perform API testing using Postman or REST Assured. Identify, report, and track defects using defect management tools. Integrate mobile automation with CI/CD pipelines. Collaborate with developers, product managers, QA teams, and DevOps engineers. Prepare test reports and maintain testing documentation. Required Skills Mobile Testing Android Testing iOS Testing Mobile Application Testing Functional Testing Regression Testing Smoke Testing Sanity Testing Compatibility Testing Installation & Upgrade Testing Localization Testing Accessibility Testing Network Interruption Testing Push Notification Testing Mobile Automation Appium Espresso (Android) XCUITest (iOS) Selenium WebDriver (Hybrid Apps) Programming Languages: Java Python JavaScript C# Automation Frameworks: TestNG JUnit PyTest Cucumber (BDD) Framework Design: Page Object Model (POM) Data-Driven Framework Hybrid Framework Mobile Platforms Android Android Studio ADB (Android Debug Bridge) APK Installation Logcat Emulator Testing iOS Xcode Simulator IPA Installation TestFlight iOS Provisioning API Testing REST API Testing Postman REST Assured JSON Validation XML Validation Database Testing SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: CRUD Operations Data Validation SQL Joins CI/CD & DevOps Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Integrate Appium automation into CI/CD pipelines. Schedule automated mobile regression testing. Publish automation reports. Cloud Device Testing Experience with: BrowserStack Sauce Labs LambdaTest Firebase Test Lab AWS Device Farm Performance Testing Preferred knowledge of: JMeter Android Profiler Xcode Instruments Battery Usage Analysis Memory Leak Detection CPU Usage Monitoring Security Testing Basic understanding of: OWASP Mobile Security Authentication Testing Data Encryption Secure Storage Validation Certificate Pinning Reporting & Defect Management Tools: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting: Extent Reports Allure Reports TestNG Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 2 6 years of experience in mobile application testing. Experience in both Android and iOS platforms. Strong knowledge of Agile/Scrum methodologies. Experience in mobile automation using Appium. Nice to Have Skills Flutter app testing React Native testing Kotlin basics Swift basics Performance testing using JMeter API Automation Playwright or Selenium Firebase Mobile Analytics AI-assisted testing tools Sample Project Responsibilities Automate Android and iOS application testing using Appium. Validate mobile application functionality across different devices and OS versions. Perform API validation for mobile backend services. Execute regression suites in Jenkins. Verify push notifications, offline mode, and network switching scenarios. Test application installation, upgrades, and uninstallation. Perform performance and battery usage testing. Sample Mobile Automation Framework Framework Components Appium Mobile automation Java Programming language TestNG Test execution Maven Build management Page Object Model (POM) Maintainable page classes Extent Reports Test reporting Log4j Logging Git Version control Jenkins CI/CD integration Execution Flow Jenkins triggers the automation suite. Maven downloads dependencies. TestNG executes Appium test cases. Appium communicates with Android/iOS devices or emulators. Test scripts validate UI and functionality. Reports are generated and published. Results are shared with the QA team. Interview Questions Mobile Testing What is mobile application testing? Explain the difference between Android and iOS testing. What types of mobile testing have you performed? How do you test an application on multiple devices? Appium What is Appium? Explain the Appium architecture. What are Desired Capabilities? How do you locate mobile elements? What is the difference between native, hybrid, and mobile web applications? Automation Explain your Appium automation framework. How do you handle synchronization in mobile automation? How do you execute Appium tests in parallel? API & Database How do you validate mobile backend APIs? How do you perform database validation? CI/CD How do you integrate Appium automation with Jenkins? How do you execute mobile automation in a CI/CD pipeline? Scenario-Based How do you test push notifications? How do you test offline mode and network interruptions? How do you automate OTP verification in a mobile application? How do you test an application across different screen sizes and OS versions? Key Skills for Resume Mobile Testing Android Testing iOS Testing Appium Espresso XCUITest Java TestNG Selenium REST API Testing Postman SQL Jenkins Git Maven BrowserStack Firebase Test Lab AWS Device Farm JIRA Agile Testing Performance Testing Mobile Automation Framework CI/CD
IT Manager, Enterprise Systems
Duluth Trading Company Madison, Wisconsin
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development
10/31/2026
Full time
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development
QA Automation Engineer
Mindlance Wilmington, Delaware
Job Description Job Description Overview Ensures the efficient execution of high-quality business processes that deliver software products to the Bank s Institutional Services (IS) customers through the design, development and execution of automated test scripts. Works with cross-functional teams to identify test scenarios, implement automation frameworks, and detect and report software defects to support the software development lifecycle. Primary Responsibilities: Design, develop and maintain scalable and robust automation frameworks (UI (User Interface), API (Application Programming Interface) and performance. Define and implement the overall test automation strategy, including tooling, scripting, and architecture decisions. Evaluate, recommend and implement new testing tools and technologies; explore ways to improve testing efficiency and coverage through AI-assisted tools and practices. Collaborate with Development teams to understand system architecture and implementation; collaborate with Product Owner team by engaging in regular sprint planning and backlog grooming sessions to understand product requirements and acceptance criteria, translating them into comprehensive test automation strategies that ensure coverage of both functional and non-functional requirements. Collaborate with engineers to integrate automated tests into CI/CD (Continuous Integration/Continuous Deployment) pipelines using pertinent tools ensuring seamless and efficient test execution throughout the development life cycle. Review code and test scripts to ensure quality, scalability, and maintainability. Drive test data strategy and environment management for automation needs. Contribute to performance, security and load testing strategy and implementation. Continuously monitor and improve test automation metrics and KPIs (Key Performance Indicators). Publish automation test execution status report with traceability of test coverage at feature level and communicate it to stakeholders to ensure their awareness of progress and identify any issues upfront. Solve complex technical and operational problems. Serve as a resource for less experienced teammates. Understand and adhere to the Company s risk and regulatory standards, policies and controls in accordance with the Company s Risk Appetite. Identify risk-related issues needing escalation to management. Promote an environment that supports a culture of belonging and reflects the brand. Maintain Company's internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. Complete other related duties as assigned. Scope of Responsibilities: Supervisory/Managerial Responsibilities: No Supervisory Responsibilities EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
10/31/2026
Full time
Job Description Job Description Overview Ensures the efficient execution of high-quality business processes that deliver software products to the Bank s Institutional Services (IS) customers through the design, development and execution of automated test scripts. Works with cross-functional teams to identify test scenarios, implement automation frameworks, and detect and report software defects to support the software development lifecycle. Primary Responsibilities: Design, develop and maintain scalable and robust automation frameworks (UI (User Interface), API (Application Programming Interface) and performance. Define and implement the overall test automation strategy, including tooling, scripting, and architecture decisions. Evaluate, recommend and implement new testing tools and technologies; explore ways to improve testing efficiency and coverage through AI-assisted tools and practices. Collaborate with Development teams to understand system architecture and implementation; collaborate with Product Owner team by engaging in regular sprint planning and backlog grooming sessions to understand product requirements and acceptance criteria, translating them into comprehensive test automation strategies that ensure coverage of both functional and non-functional requirements. Collaborate with engineers to integrate automated tests into CI/CD (Continuous Integration/Continuous Deployment) pipelines using pertinent tools ensuring seamless and efficient test execution throughout the development life cycle. Review code and test scripts to ensure quality, scalability, and maintainability. Drive test data strategy and environment management for automation needs. Contribute to performance, security and load testing strategy and implementation. Continuously monitor and improve test automation metrics and KPIs (Key Performance Indicators). Publish automation test execution status report with traceability of test coverage at feature level and communicate it to stakeholders to ensure their awareness of progress and identify any issues upfront. Solve complex technical and operational problems. Serve as a resource for less experienced teammates. Understand and adhere to the Company s risk and regulatory standards, policies and controls in accordance with the Company s Risk Appetite. Identify risk-related issues needing escalation to management. Promote an environment that supports a culture of belonging and reflects the brand. Maintain Company's internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. Complete other related duties as assigned. Scope of Responsibilities: Supervisory/Managerial Responsibilities: No Supervisory Responsibilities EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
IT Manager, Enterprise Systems
Duluth Trading Company Albany, Wisconsin
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development
10/31/2026
Full time
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development
IT Manager, Enterprise Systems
Duluth Trading Company Beloit, Wisconsin
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development
10/31/2026
Full time
Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development

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