Job Description Senior Linux Platform Engineer Salary: open + bonus Location: Chicago, IL / Kansas City, MO / New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Responsibilities Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability.
11/14/2026
Full time
Job Description Senior Linux Platform Engineer Salary: open + bonus Location: Chicago, IL / Kansas City, MO / New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Responsibilities Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability.
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
11/14/2026
Full time
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
11/14/2026
Full time
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets. Our Challenge: We are seeking an experienced Java Developer with proven Greenfield design expertise and a strong Java development background to lead the architecture and delivery. This role involves close collaboration with the client's Enterprise Architect and Delivery Director to deliver large-scale, innovative solutions leveraging Gen AI. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $90k - $120k/year & benefits (see below). The Role: Responsibilities: Design and develop web user interfaces and APIs using Java/JavaScript/Spring/Angular technologies. Develop application code, write unit tests and integration tests using Junit/Spock/Jasmine/Karma. Work closely with business stakeholders, UX Design teams and downstream systems. Build cloud-native applications using container technologies like Docker and deploy in OpenShift/AWS EKS Support the production release, monitoring and triaging issues on time Requirements: Bachelor's Degree in Computer Science/Engineering or equivalent. 7+ years of IT work experience in frontend and backend frameworks. Good hands-on experience in core Java, Spring-boot, Microservices. Good experience in Angular or React.Js. Strong expertise with HTML, JavaScript, and writing cross-browser compatible code. Good understanding of AJAX, JavaScript DOM manipulation techniques, JavaScript MV-VM/MVC frameworks and SPA applications. Experience using JavaScript tools like Node.js, Webpack, Jasmine, Karma, Protractor, JSLint, etc. Writing extensive unit tests using automated TDD task. Creating E2E test suites for all components, and running them with Protractor (or a well-reasoned alternative). Knowledge of Java EE technologies, Spring framework (i.e. Core, Security, MVC). Experience with build automation using Ant or Maven or Gradle. Preferred experience with Cloud and container technologies such as Docker, Kubernetes, OpenShift, AWS, EKS Preferred experience with CI/CD tools like Jenkins, Gitlab CI or ElectricFlow. Good in database queries. Working experience of iterative and incremental development process. Good interpersonal and communication skills is key. Preferred, but not required: Work experience in PCF, GCP, Python Unix shell scripting experience. Database experience - Oracle SQL/PLSQL, MongoDB, SQL Server, RDS, DynamoDB We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
11/14/2026
Full time
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets. Our Challenge: We are seeking an experienced Java Developer with proven Greenfield design expertise and a strong Java development background to lead the architecture and delivery. This role involves close collaboration with the client's Enterprise Architect and Delivery Director to deliver large-scale, innovative solutions leveraging Gen AI. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $90k - $120k/year & benefits (see below). The Role: Responsibilities: Design and develop web user interfaces and APIs using Java/JavaScript/Spring/Angular technologies. Develop application code, write unit tests and integration tests using Junit/Spock/Jasmine/Karma. Work closely with business stakeholders, UX Design teams and downstream systems. Build cloud-native applications using container technologies like Docker and deploy in OpenShift/AWS EKS Support the production release, monitoring and triaging issues on time Requirements: Bachelor's Degree in Computer Science/Engineering or equivalent. 7+ years of IT work experience in frontend and backend frameworks. Good hands-on experience in core Java, Spring-boot, Microservices. Good experience in Angular or React.Js. Strong expertise with HTML, JavaScript, and writing cross-browser compatible code. Good understanding of AJAX, JavaScript DOM manipulation techniques, JavaScript MV-VM/MVC frameworks and SPA applications. Experience using JavaScript tools like Node.js, Webpack, Jasmine, Karma, Protractor, JSLint, etc. Writing extensive unit tests using automated TDD task. Creating E2E test suites for all components, and running them with Protractor (or a well-reasoned alternative). Knowledge of Java EE technologies, Spring framework (i.e. Core, Security, MVC). Experience with build automation using Ant or Maven or Gradle. Preferred experience with Cloud and container technologies such as Docker, Kubernetes, OpenShift, AWS, EKS Preferred experience with CI/CD tools like Jenkins, Gitlab CI or ElectricFlow. Good in database queries. Working experience of iterative and incremental development process. Good interpersonal and communication skills is key. Preferred, but not required: Work experience in PCF, GCP, Python Unix shell scripting experience. Database experience - Oracle SQL/PLSQL, MongoDB, SQL Server, RDS, DynamoDB We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Job Description Key Responsibilities Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed.
11/14/2026
Full time
Job Description Key Responsibilities Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed.
Job Description Description: Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications: 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed. Note: Interview will be In person at Phoenix.
11/14/2026
Full time
Job Description Description: Provide 24x7 production support for enterprise database platforms and mission-critical business applications. Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents. Manage and resolve production incidents using established Incident Management processes. Perform root cause analysis and drive long-term remediation through Problem Management practices. Plan, validate, and implement database changes in alignment with Change Management processes. Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability. Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms. Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency. Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes. Required Qualifications: 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner. Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability. Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms. Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability. Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines. Hands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC. Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads. Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis. Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment. Solid understanding of database setup, configuration, administration, and replication. Ability to learn quickly, work independently, and take ownership of assigned responsibilities. Willingness to provide rotational weekend and off-hours support as needed. Note: Interview will be In person at Phoenix.
Prudent Technologies and Consulting, Inc.
Nashville, Tennessee
Job Description Role: Data Engineer - Real-Time & Cloud Platforms Location :- Nashville, TN ( Onsite from day 1 ) Duration: Long Term Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.
11/14/2026
Full time
Job Description Role: Data Engineer - Real-Time & Cloud Platforms Location :- Nashville, TN ( Onsite from day 1 ) Duration: Long Term Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.
Job Description Role : Data Engineer and GCP data Engineer Location: Phoenix AZ (local candidate) Duration : Long Term Contract Strong understanding of ETL and ELT patterns, data integration, data modeling, and distributed data processing. Hands-on development experience with Apache Spark using Scala and/or Python/PySpark. Experience working with RDBMS technologies and modern lakehouse/table formats, preferably Apache Iceberg. Experience with distributed SQL/query technologies such as Starburst and Trino. Experience designing real-time and streaming data solutions using technologies such as Apache Kafka and Spark Streaming. Understanding of integration patterns across NiFi, Kafka, Spark, RDBMS, and lakehouse platforms for batch and real-time data processing. Strong knowledge of software engineering practices including CI/CD, automated testing, source control, infrastructure/platform automation, observability, and production support. Experience with data governance, metadata management, data lineage, data quality, and secure data access in enterprise environments.
11/14/2026
Full time
Job Description Role : Data Engineer and GCP data Engineer Location: Phoenix AZ (local candidate) Duration : Long Term Contract Strong understanding of ETL and ELT patterns, data integration, data modeling, and distributed data processing. Hands-on development experience with Apache Spark using Scala and/or Python/PySpark. Experience working with RDBMS technologies and modern lakehouse/table formats, preferably Apache Iceberg. Experience with distributed SQL/query technologies such as Starburst and Trino. Experience designing real-time and streaming data solutions using technologies such as Apache Kafka and Spark Streaming. Understanding of integration patterns across NiFi, Kafka, Spark, RDBMS, and lakehouse platforms for batch and real-time data processing. Strong knowledge of software engineering practices including CI/CD, automated testing, source control, infrastructure/platform automation, observability, and production support. Experience with data governance, metadata management, data lineage, data quality, and secure data access in enterprise environments.
Job Description Position AI Architect Location: Charlotte, NC- Hybrid Job Description: Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 08+ years of experience. Experience architecting enterprise AI platforms in regulated environments. Experience designing supervisory AI systems with governance and compliance controls. Strong understanding of AI risk management, explainability, and policy frameworks. Experience with AI-driven modernization, code conversion, transpilers, and automation platforms. Knowledge of Data Engineering, Data Governance, Data Quality, Metadata Management, and Analytics ecosystems. Cloud Architecture certifications (Azure, AWS, or GCP) preferred.
11/14/2026
Full time
Job Description Position AI Architect Location: Charlotte, NC- Hybrid Job Description: Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 08+ years of experience. Experience architecting enterprise AI platforms in regulated environments. Experience designing supervisory AI systems with governance and compliance controls. Strong understanding of AI risk management, explainability, and policy frameworks. Experience with AI-driven modernization, code conversion, transpilers, and automation platforms. Knowledge of Data Engineering, Data Governance, Data Quality, Metadata Management, and Analytics ecosystems. Cloud Architecture certifications (Azure, AWS, or GCP) preferred.
Job Description We have an exciting opportunity for Network Architect. Role - Network Architect Location: Phoenix AZ (onsite) Salary: $130K Position Type: Full-time only Job Summary: We are looking for an experienced Network Architect with deep expertise in Cisco Application Centric Infrastructure (ACI) and cloud networking to design, deploy, and optimize enterprise network infrastructure. The ideal candidate will be proficient in Cisco ACI fabric design and management, with strong skills in integrating cloud environments such as AWS, Azure, or Google Cloud into a hybrid or multi-cloud architecture. Key Responsibilities: •Architect, design, and implement Cisco ACI solutions for scalable and secure data center networks. •Lead the integration of Cisco ACI with cloud networking environments (AWS, Azure, GCP), ensuring seamless connectivity and security. •Develop and enforce network policies, segmentation, and micro-segmentation strategies using Cisco ACI and cloud-native tools. •Collaborate with cloud architects and security teams to build hybrid cloud networking architectures. • Design, implement, and support F5 BIG-IP solutions, including LTM, GTM/DNS, SSL offloading, traffic management, high availability, and application delivery services. •Troubleshoot complex network issues spanning on-premises Cisco ACI fabric and cloud networks. •Monitor network performance, capacity planning, and recommend improvements. •Stay current with Cisco ACI enhancements, cloud networking trends, and emerging technologies. •Support the implementation of IaC (Infrastructure as Code) for network components using tools like Terraform, CloudFormation, or ARM templates. •Provide technical leadership and mentoring to network and cloud teams. •Stay up-to-date on emerging technologies, trends, and best practices in cloud and enterprise networking. Preferred Certifications: •Cisco Certified Network Professional Data Center (CCNP Data Center) •Cisco Certified Internetwork Expert (CCIE) - Data Center or Enterprise Infrastructure •AWS Advanced Networking Specialty •Microsoft Certified: Azure Network Engineer Associate •Google Cloud Professional Cloud Network Engineer Thanks & Regards Sumit Talekar Associate Manager - TA Rezolve AI Limited Add : 499 Park Ave, Suite 1003, New York, NY 10022, USA Contact : + WebSite:
11/14/2026
Full time
Job Description We have an exciting opportunity for Network Architect. Role - Network Architect Location: Phoenix AZ (onsite) Salary: $130K Position Type: Full-time only Job Summary: We are looking for an experienced Network Architect with deep expertise in Cisco Application Centric Infrastructure (ACI) and cloud networking to design, deploy, and optimize enterprise network infrastructure. The ideal candidate will be proficient in Cisco ACI fabric design and management, with strong skills in integrating cloud environments such as AWS, Azure, or Google Cloud into a hybrid or multi-cloud architecture. Key Responsibilities: •Architect, design, and implement Cisco ACI solutions for scalable and secure data center networks. •Lead the integration of Cisco ACI with cloud networking environments (AWS, Azure, GCP), ensuring seamless connectivity and security. •Develop and enforce network policies, segmentation, and micro-segmentation strategies using Cisco ACI and cloud-native tools. •Collaborate with cloud architects and security teams to build hybrid cloud networking architectures. • Design, implement, and support F5 BIG-IP solutions, including LTM, GTM/DNS, SSL offloading, traffic management, high availability, and application delivery services. •Troubleshoot complex network issues spanning on-premises Cisco ACI fabric and cloud networks. •Monitor network performance, capacity planning, and recommend improvements. •Stay current with Cisco ACI enhancements, cloud networking trends, and emerging technologies. •Support the implementation of IaC (Infrastructure as Code) for network components using tools like Terraform, CloudFormation, or ARM templates. •Provide technical leadership and mentoring to network and cloud teams. •Stay up-to-date on emerging technologies, trends, and best practices in cloud and enterprise networking. Preferred Certifications: •Cisco Certified Network Professional Data Center (CCNP Data Center) •Cisco Certified Internetwork Expert (CCIE) - Data Center or Enterprise Infrastructure •AWS Advanced Networking Specialty •Microsoft Certified: Azure Network Engineer Associate •Google Cloud Professional Cloud Network Engineer Thanks & Regards Sumit Talekar Associate Manager - TA Rezolve AI Limited Add : 499 Park Ave, Suite 1003, New York, NY 10022, USA Contact : + WebSite:
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: As an Advanced Network Engineer at Zebra Technologies, you will be a vital leader within our Global IT Network Team. In this role, you won't just keep things running-you will serve as the technical spearhead for complex, global network implementations. You will help shape the future of Zebra's infrastructure by establishing network architecture standards and directing the deployment of innovative solutions. If you are passionate about driving enterprise-level IT infrastructure forward, collaborating seamlessly across a global IT landscape, and mentoring junior engineers to reach their full potential, we want you on our team. What You Will Do: Architecture, Design & Strategy Architect the Future: Lead the research, design, and planning of our enterprise network and network security architecture. Evaluate & Innovate: Perform advanced technology evaluations and Proof of Concept (PoC) testing. Develop network security solutions, including financial analysis of alternatives, to meet evolving business needs. Set the Standard: Develop, review, and approve installation requirements across LAN, WAN, VPN, firewalls, routers, and related network devices. M&A Integration: Lead network assessments for Mergers and Acquisitions (M&A). Analyze pre-built environments and develop project timelines to establish standardization. Security, Resilience & Compliance Ensure Business Continuity: Design and implement robust network infrastructure to support critical Disaster Recovery and Cyber Recovery exercises. Strengthen Posture: Continuously review system network security measures and implement necessary enhancements while strictly adhering to change control processes. Maintain Compliance: Ensure all network operations comply with applicable policies, procedures, and industry best practices, while providing Level 3 validation of network security changes. Operations, Support & Leadership Act as the Expert: Serve as the Subject Matter Expert (SME) and provide strategic consulting support to business stakeholders. Level 3 Escalation: Respond to complex Network Security and Operations incidents, providing advanced troubleshooting, thorough post-event analysis, and participating in an on-call rotation. Drive Project Delivery: Independently manage projects, deliverables, and timelines for ongoing system upgrades. Empower the Team: Champion "shift-left" opportunities by producing detailed High-Level Designs (HLD), Low-Level Designs (LLD), standard operating procedures (SOPs), and knowledge base articles. Core Networking, Cloud & Security Expertise Deep Networking Knowledge: Master-level understanding of data networking theory, advanced routing (BGP, OSPF), TCP/IP fundamentals, directory services, and complex LAN/WAN switching topologies. WAN & Cloud Infrastructure: Proven hands-on experience manipulating routing metrics for WAN protocols. Thorough understanding of cloud networks (AWS/Azure/GCP), specifically designing intra- and inter-cloud secure routing utilizing native cloud technologies alongside enterprise firewalls. Advanced Security Foundation: Deep knowledge of security protocols, cryptography, and zero-trust concepts. Strong understanding of how systems are compromised based on known vulnerabilities to proactively secure the network. Leadership & Business Acumen Technical Mentorship: A natural leader who provides clear direction, guides cross-functional teams on standardized technology integration, and leads junior technical staff by example. Global & Customer-Centric Mindset: Demonstrates strong empathy for global cultural differences and a highly customer-centric approach to IT support. Analytical Problem Solving: Top-tier troubleshooting and root-cause analysis skills under pressure, paired with excellent communication skills to consult with cross-functional stakeholders. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field. Minimum of 8+ years of progressive, proven experience in enterprise-level network engineering, network security, and infrastructure architecture. Demonstrated experience operating within a large, complex, global IT environment. Zscaler Zero Trust Ecosystem: Deep familiarity with Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), Zscaler Digital Experience (ZDX), and Zscaler Branch Connectors (ZTB). Data Center Automation & Visibility: Hands-on experience utilizing Cisco Nexus Dashboard for centralized fabric management, proactive network monitoring, and operational automation across complex data center environments. Enterprise Wireless & Edge: Proficiency in HPE Mist Wireless, Cisco Meraki, and Cisco Enterprise Wireless technologies. Next-Generation Firewalls: Extensive experience with Palo Alto Firewalls, supported by an active Palo Alto Networks Certified Network Security Engineer (PCNSE) or Administrator (PCNSA) certification to validate deep expertise in designing, deploying, and managing enterprise firewall. Travel Requirements: Willingness and ability to travel up to 10% globally or domestically as needed for major project implementations or M&A integrations.architectures. Preferred Qualifications: CCNP/CCIE (Enterprise and/or Data Center) JNCIP-MistAI Zscaler Digital Transformation Engineer (ZDTE) CISSP or PCNSE Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system . click apply for full job details
11/14/2026
Full time
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: As an Advanced Network Engineer at Zebra Technologies, you will be a vital leader within our Global IT Network Team. In this role, you won't just keep things running-you will serve as the technical spearhead for complex, global network implementations. You will help shape the future of Zebra's infrastructure by establishing network architecture standards and directing the deployment of innovative solutions. If you are passionate about driving enterprise-level IT infrastructure forward, collaborating seamlessly across a global IT landscape, and mentoring junior engineers to reach their full potential, we want you on our team. What You Will Do: Architecture, Design & Strategy Architect the Future: Lead the research, design, and planning of our enterprise network and network security architecture. Evaluate & Innovate: Perform advanced technology evaluations and Proof of Concept (PoC) testing. Develop network security solutions, including financial analysis of alternatives, to meet evolving business needs. Set the Standard: Develop, review, and approve installation requirements across LAN, WAN, VPN, firewalls, routers, and related network devices. M&A Integration: Lead network assessments for Mergers and Acquisitions (M&A). Analyze pre-built environments and develop project timelines to establish standardization. Security, Resilience & Compliance Ensure Business Continuity: Design and implement robust network infrastructure to support critical Disaster Recovery and Cyber Recovery exercises. Strengthen Posture: Continuously review system network security measures and implement necessary enhancements while strictly adhering to change control processes. Maintain Compliance: Ensure all network operations comply with applicable policies, procedures, and industry best practices, while providing Level 3 validation of network security changes. Operations, Support & Leadership Act as the Expert: Serve as the Subject Matter Expert (SME) and provide strategic consulting support to business stakeholders. Level 3 Escalation: Respond to complex Network Security and Operations incidents, providing advanced troubleshooting, thorough post-event analysis, and participating in an on-call rotation. Drive Project Delivery: Independently manage projects, deliverables, and timelines for ongoing system upgrades. Empower the Team: Champion "shift-left" opportunities by producing detailed High-Level Designs (HLD), Low-Level Designs (LLD), standard operating procedures (SOPs), and knowledge base articles. Core Networking, Cloud & Security Expertise Deep Networking Knowledge: Master-level understanding of data networking theory, advanced routing (BGP, OSPF), TCP/IP fundamentals, directory services, and complex LAN/WAN switching topologies. WAN & Cloud Infrastructure: Proven hands-on experience manipulating routing metrics for WAN protocols. Thorough understanding of cloud networks (AWS/Azure/GCP), specifically designing intra- and inter-cloud secure routing utilizing native cloud technologies alongside enterprise firewalls. Advanced Security Foundation: Deep knowledge of security protocols, cryptography, and zero-trust concepts. Strong understanding of how systems are compromised based on known vulnerabilities to proactively secure the network. Leadership & Business Acumen Technical Mentorship: A natural leader who provides clear direction, guides cross-functional teams on standardized technology integration, and leads junior technical staff by example. Global & Customer-Centric Mindset: Demonstrates strong empathy for global cultural differences and a highly customer-centric approach to IT support. Analytical Problem Solving: Top-tier troubleshooting and root-cause analysis skills under pressure, paired with excellent communication skills to consult with cross-functional stakeholders. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field. Minimum of 8+ years of progressive, proven experience in enterprise-level network engineering, network security, and infrastructure architecture. Demonstrated experience operating within a large, complex, global IT environment. Zscaler Zero Trust Ecosystem: Deep familiarity with Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), Zscaler Digital Experience (ZDX), and Zscaler Branch Connectors (ZTB). Data Center Automation & Visibility: Hands-on experience utilizing Cisco Nexus Dashboard for centralized fabric management, proactive network monitoring, and operational automation across complex data center environments. Enterprise Wireless & Edge: Proficiency in HPE Mist Wireless, Cisco Meraki, and Cisco Enterprise Wireless technologies. Next-Generation Firewalls: Extensive experience with Palo Alto Firewalls, supported by an active Palo Alto Networks Certified Network Security Engineer (PCNSE) or Administrator (PCNSA) certification to validate deep expertise in designing, deploying, and managing enterprise firewall. Travel Requirements: Willingness and ability to travel up to 10% globally or domestically as needed for major project implementations or M&A integrations.architectures. Preferred Qualifications: CCNP/CCIE (Enterprise and/or Data Center) JNCIP-MistAI Zscaler Digital Transformation Engineer (ZDTE) CISSP or PCNSE Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system . click apply for full job details
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/14/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Senior DevOps Engineer Overview / Summary We are seeking a Senior DevOps Engineer responsible for building, testing, and maintaining infrastructure and tools that support software development, deployment, and release processes. The ideal candidate will help improve software delivery speed, automate software lifecycle processes, implement DevOps practices, and enhance the efficiency and reliability of software releases. Key Responsibilities Implement DevOps methodologies and practices throughout the software product lifecycle. Accelerate software releases while maintaining security and minimizing the risk of failed releases. Improve software delivery cycles by leveraging Continuous Integration (CI), Continuous Deployment (CD), and continuous feedback practices. Assess existing systems and processes and identify opportunities for improvement. Leverage cloud platforms, enterprise tools, and infrastructure to support DevOps practices. Support code and software releases across multiple environments, including production, testing, and sandbox environments. Identify and lead automation and innovation initiatives throughout the software product lifecycle. Required Qualifications 7+ years of relevant professional experience. Strong experience with Google Cloud Platform (GCP). Knowledge of Cloud Architecture. Experience with Database Design. Proficiency in Python. Preferred Qualifications Experience with MongoDB. Additional Information Work Arrangement: Hybrid. On-site requirement: 4 days per week. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
11/14/2026
Full time
Senior DevOps Engineer Overview / Summary We are seeking a Senior DevOps Engineer responsible for building, testing, and maintaining infrastructure and tools that support software development, deployment, and release processes. The ideal candidate will help improve software delivery speed, automate software lifecycle processes, implement DevOps practices, and enhance the efficiency and reliability of software releases. Key Responsibilities Implement DevOps methodologies and practices throughout the software product lifecycle. Accelerate software releases while maintaining security and minimizing the risk of failed releases. Improve software delivery cycles by leveraging Continuous Integration (CI), Continuous Deployment (CD), and continuous feedback practices. Assess existing systems and processes and identify opportunities for improvement. Leverage cloud platforms, enterprise tools, and infrastructure to support DevOps practices. Support code and software releases across multiple environments, including production, testing, and sandbox environments. Identify and lead automation and innovation initiatives throughout the software product lifecycle. Required Qualifications 7+ years of relevant professional experience. Strong experience with Google Cloud Platform (GCP). Knowledge of Cloud Architecture. Experience with Database Design. Proficiency in Python. Preferred Qualifications Experience with MongoDB. Additional Information Work Arrangement: Hybrid. On-site requirement: 4 days per week. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
