Staff Machine Learning Engineer We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact? Our client - a fast-growing AI company revolutionising healthcare - is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems. This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry. Responsibilities: Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions. Mentor and guide other engineers, setting standards and shaping the company's ML engineering practices. Architect robust systems that support high-volume batch and real-time inference. Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment. Build and maintain pipelines for data ingestion, training, evaluation, and model serving. Implement monitoring, observability, and reliability frameworks to ensure production-grade performance. Optimise performance across the ML stack - balancing latency, scalability, and cost-efficiency. Requirements: Experience building and deploying ML models in production environments. Strong programming background in Python , Go , C++ , or Java . Experience with distributed training , data pipelines , and real-time inference systems . Sound understanding of ML concepts , particularly in computer vision or large language models (LLMs) . Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker). Why apply? Competitive compensation and equity package. Flexible and hybrid work options across major U.S. tech hubs. A high-growth, collaborative culture where ownership and innovation are valued. A mission-driven environment - shaping the future of AI-powered healthcare . To apply please contact Sam Shinner at Discover International
04/06/2026
Full time
Staff Machine Learning Engineer We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact? Our client - a fast-growing AI company revolutionising healthcare - is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems. This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry. Responsibilities: Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions. Mentor and guide other engineers, setting standards and shaping the company's ML engineering practices. Architect robust systems that support high-volume batch and real-time inference. Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment. Build and maintain pipelines for data ingestion, training, evaluation, and model serving. Implement monitoring, observability, and reliability frameworks to ensure production-grade performance. Optimise performance across the ML stack - balancing latency, scalability, and cost-efficiency. Requirements: Experience building and deploying ML models in production environments. Strong programming background in Python , Go , C++ , or Java . Experience with distributed training , data pipelines , and real-time inference systems . Sound understanding of ML concepts , particularly in computer vision or large language models (LLMs) . Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker). Why apply? Competitive compensation and equity package. Flexible and hybrid work options across major U.S. tech hubs. A high-growth, collaborative culture where ownership and innovation are valued. A mission-driven environment - shaping the future of AI-powered healthcare . To apply please contact Sam Shinner at Discover International
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn. What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $152,000 - $258,000 USD
04/05/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn. What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $152,000 - $258,000 USD
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Site Reliability Engineering Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. About the Role The Business Operations (Biz Ops) team is seeking a Director, Site Reliability Engineer (SRE) The role of Business Operations Organization is to be the production readiness steward for Mastercard products. As a Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to run our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principals that includes operational design, automation, capacity planning, monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We are seeking a highly motivated and experienced Site Reliability Engineer (SRE) Director to join our growing team. You will play a critical role in ensuring the reliability, scalability, and performance of our applications, supporting essential services that power Mastercard's global operations. As a thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. Team Specific Skills: It is not expected that any single candidate would have expertise across all these areas, but a Biz Ops engineer will spend a bit of time throughout their career with all of these aspects of the role: • Operational Readiness Architect: o Serve as the primary contact responsible for the overall application health, performance, and capacity o Support services before they go live through activities such as system design consulting, capacity planning and launch reviews. o Partner with the development and product team of a new application to establish the right monitoring and alerting strategy and create the framework to achieve zero downtime during deployment. • Site Reliability Engineering: o Performs operability and resilience design and implements and maintains highly reliable and scalable infrastructure. o Perform root cause analysis of incidents and collaborate with development teams to resolve issues. o Stay up to date with the latest technologies and trends in SRE and cloud computing. o Participate in on-call rotations and be available to respond to critical incidents. o Complete end-to-end run ownership of the product. o Practice sustainable incident response and blameless post-mortems while taking a holistic approach to problem solving and optimizing time to recover. o Automate data-driven alerts to proactively escalate issues. Work with development teams to establish SLOs and improve reliability. • DevOps/Automation: o Tackle complex development, automation, and business process problems. Engage in and improve the whole lifecycle of services-from inception and design, through deployment, operation, and refinement. o Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices. o Performs operational and resilience Design and implements solutions for capacity planning and performance optimization. o Increase automation and tooling to reduce toil and manual intervention • ITSM Practices: o Analyses ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns Role qualifications: The ideal candidate will have experience in many of these areas: • BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience. • Ability to read, write, and understand code in one of the programming languages such as Java, Spring Framework, Python, Go. • Strong understanding of DevOps principles, practices along with configuration management. • Experience in operational and resilience designing, building, and operating large-scale, distributed systems. • A passion for observability, automation and continuous improvement. • Familiarity with cloud platforms like AWS, Azure, or GCP (a plus). • Experience in observability tools such as Splunk, Dynatrace, Prometheus, Datadog, Grafana, and Monitoring as a Code. • Appetite for change and pushing the boundaries of what can be done with automation. Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth. • Experience with algorithms, data structures, scripting, pipeline management, and software design. • Systematic problem-solving approach, analytical, coupled with strong communication skills and a sense of ownership and drive. • Interest in designing, analyzing, and troubleshooting large-scale distributed systems. • Strong leadership and mentoring skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. • Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system. • Comfortable collaborating with cross-functional teams to ensure that expected system behaviour is understood and monitoring exists to detect anomalies. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability . click apply for full job details
04/05/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Site Reliability Engineering Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. About the Role The Business Operations (Biz Ops) team is seeking a Director, Site Reliability Engineer (SRE) The role of Business Operations Organization is to be the production readiness steward for Mastercard products. As a Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to run our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principals that includes operational design, automation, capacity planning, monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We are seeking a highly motivated and experienced Site Reliability Engineer (SRE) Director to join our growing team. You will play a critical role in ensuring the reliability, scalability, and performance of our applications, supporting essential services that power Mastercard's global operations. As a thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. Team Specific Skills: It is not expected that any single candidate would have expertise across all these areas, but a Biz Ops engineer will spend a bit of time throughout their career with all of these aspects of the role: • Operational Readiness Architect: o Serve as the primary contact responsible for the overall application health, performance, and capacity o Support services before they go live through activities such as system design consulting, capacity planning and launch reviews. o Partner with the development and product team of a new application to establish the right monitoring and alerting strategy and create the framework to achieve zero downtime during deployment. • Site Reliability Engineering: o Performs operability and resilience design and implements and maintains highly reliable and scalable infrastructure. o Perform root cause analysis of incidents and collaborate with development teams to resolve issues. o Stay up to date with the latest technologies and trends in SRE and cloud computing. o Participate in on-call rotations and be available to respond to critical incidents. o Complete end-to-end run ownership of the product. o Practice sustainable incident response and blameless post-mortems while taking a holistic approach to problem solving and optimizing time to recover. o Automate data-driven alerts to proactively escalate issues. Work with development teams to establish SLOs and improve reliability. • DevOps/Automation: o Tackle complex development, automation, and business process problems. Engage in and improve the whole lifecycle of services-from inception and design, through deployment, operation, and refinement. o Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices. o Performs operational and resilience Design and implements solutions for capacity planning and performance optimization. o Increase automation and tooling to reduce toil and manual intervention • ITSM Practices: o Analyses ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns Role qualifications: The ideal candidate will have experience in many of these areas: • BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience. • Ability to read, write, and understand code in one of the programming languages such as Java, Spring Framework, Python, Go. • Strong understanding of DevOps principles, practices along with configuration management. • Experience in operational and resilience designing, building, and operating large-scale, distributed systems. • A passion for observability, automation and continuous improvement. • Familiarity with cloud platforms like AWS, Azure, or GCP (a plus). • Experience in observability tools such as Splunk, Dynatrace, Prometheus, Datadog, Grafana, and Monitoring as a Code. • Appetite for change and pushing the boundaries of what can be done with automation. Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth. • Experience with algorithms, data structures, scripting, pipeline management, and software design. • Systematic problem-solving approach, analytical, coupled with strong communication skills and a sense of ownership and drive. • Interest in designing, analyzing, and troubleshooting large-scale distributed systems. • Strong leadership and mentoring skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. • Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system. • Comfortable collaborating with cross-functional teams to ensure that expected system behaviour is understood and monitoring exists to detect anomalies. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability . click apply for full job details
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of days on-site can increase based on business needs. Job Summary: The Principal Network Architect serves as the top-level technical authority in network architecture, responsible for setting the vision and strategy for global network infrastructure. This role provides deep technical leadership, defines enterprise-wide standards, and integrates new technologies into the environment. The Principal Network Architect ensures architectural integrity, operational excellence, and alignment between business strategy and network design. Key Responsibilities: Serve as the strategic leader for global network architecture, driving the vision for secure, scalable, and high-performing infrastructure across all regions. Design and solve complex technology and infrastructure challenges with broad enterprise impact. Architect global, scalable, and resilient network solutions that support mission-critical systems. Integrating on-premise, cloud, and edge network solutions to enable global business operations and innovation. Integrate cybersecurity, application, and infrastructure requirements into holistic network designs. Lead cross-functional technical governance to ensure alignment between network, security, and application architecture. Define and champion enterprise-wide standards for Cisco, Checkpoint, Palo Alto, F5, HP/Aruba, and cloud networking platforms. Oversee the technical roadmap for data center modernization, SD-WAN expansion, and secure remote access initiatives. Assess and integrate emerging technologies to future-proof network capabilities. Analyzing future business needs and emerging technology trends to inform long-term network strategy. Publish high-level documentation and oversee operational readiness of new solutions. Drive innovation and advocate for technology investments aligned with strategic objectives. Serve as the primary technical liaison to executive leadership, vendors, and global stakeholders. Act as final escalation for complex network design decisions and risk assessments. Represent the networking function to senior leadership, global partners, and strategic vendors. Participate in on-call rotation and global incident escalations to ensure 24x7 uptime coverage. Education Required: Bachelor's degree in information systems, Engineering, Computer Science or a related field of study. Related experience may be considered in lieu of required formal education Experience: 15+ years of experience in IT infrastructure, including 8+ years of progressive responsibility in network architecture and enterprise solution design. Licenses/Certifications Required: Professional Industry Certifications in the area of Network infrastructure, such as CCNP, CCIE Licenses/Certifications Preferred: Industry Certifications in Networking, Cyber, wireless, telecom, or other infrastructure areas Technical Skills: Expert-level design and strategy across Cisco enterprise gear (Catalyst, Nexus, DNA Center) and multi-region routing infrastructure Global network design and cross-regional architecture for large-scale enterprises Global segmentation and Zero Trust Architecture with deep knowledge of Checkpoint and Palo Alto policy design Multi-cloud networking strategies and integrations (Azure, AWS, GCP) Architect-level expertise in F5 application services (LTM, GTM, ASM) and HA configurations Leadership in global SD-WAN and edge security architecture using HP/Aruba, Palo Alto Prisma, and similar platforms Network infrastructure strategy and lifecycle planning Vendor and platform evaluation (hardware/software lifecycle, RFPs, PoCs) Hybrid cloud interconnect planning, cloud-native network design (Azure, AWS, GCP) Enterprise DNS/DHCP/IPAM strategy and scalability Enterprise standards development and architectural governance High-level network modeling, capacity forecasting, and risk assessment Governance and architecture oversight for large-scale deployments, mergers, and international compliance Strong grasp of infrastructure-as-code and automation frameworks to support agile deployment practices Cross-domain integrations (network + security + application + DevOps)
04/05/2026
Full time
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of days on-site can increase based on business needs. Job Summary: The Principal Network Architect serves as the top-level technical authority in network architecture, responsible for setting the vision and strategy for global network infrastructure. This role provides deep technical leadership, defines enterprise-wide standards, and integrates new technologies into the environment. The Principal Network Architect ensures architectural integrity, operational excellence, and alignment between business strategy and network design. Key Responsibilities: Serve as the strategic leader for global network architecture, driving the vision for secure, scalable, and high-performing infrastructure across all regions. Design and solve complex technology and infrastructure challenges with broad enterprise impact. Architect global, scalable, and resilient network solutions that support mission-critical systems. Integrating on-premise, cloud, and edge network solutions to enable global business operations and innovation. Integrate cybersecurity, application, and infrastructure requirements into holistic network designs. Lead cross-functional technical governance to ensure alignment between network, security, and application architecture. Define and champion enterprise-wide standards for Cisco, Checkpoint, Palo Alto, F5, HP/Aruba, and cloud networking platforms. Oversee the technical roadmap for data center modernization, SD-WAN expansion, and secure remote access initiatives. Assess and integrate emerging technologies to future-proof network capabilities. Analyzing future business needs and emerging technology trends to inform long-term network strategy. Publish high-level documentation and oversee operational readiness of new solutions. Drive innovation and advocate for technology investments aligned with strategic objectives. Serve as the primary technical liaison to executive leadership, vendors, and global stakeholders. Act as final escalation for complex network design decisions and risk assessments. Represent the networking function to senior leadership, global partners, and strategic vendors. Participate in on-call rotation and global incident escalations to ensure 24x7 uptime coverage. Education Required: Bachelor's degree in information systems, Engineering, Computer Science or a related field of study. Related experience may be considered in lieu of required formal education Experience: 15+ years of experience in IT infrastructure, including 8+ years of progressive responsibility in network architecture and enterprise solution design. Licenses/Certifications Required: Professional Industry Certifications in the area of Network infrastructure, such as CCNP, CCIE Licenses/Certifications Preferred: Industry Certifications in Networking, Cyber, wireless, telecom, or other infrastructure areas Technical Skills: Expert-level design and strategy across Cisco enterprise gear (Catalyst, Nexus, DNA Center) and multi-region routing infrastructure Global network design and cross-regional architecture for large-scale enterprises Global segmentation and Zero Trust Architecture with deep knowledge of Checkpoint and Palo Alto policy design Multi-cloud networking strategies and integrations (Azure, AWS, GCP) Architect-level expertise in F5 application services (LTM, GTM, ASM) and HA configurations Leadership in global SD-WAN and edge security architecture using HP/Aruba, Palo Alto Prisma, and similar platforms Network infrastructure strategy and lifecycle planning Vendor and platform evaluation (hardware/software lifecycle, RFPs, PoCs) Hybrid cloud interconnect planning, cloud-native network design (Azure, AWS, GCP) Enterprise DNS/DHCP/IPAM strategy and scalability Enterprise standards development and architectural governance High-level network modeling, capacity forecasting, and risk assessment Governance and architecture oversight for large-scale deployments, mergers, and international compliance Strong grasp of infrastructure-as-code and automation frameworks to support agile deployment practices Cross-domain integrations (network + security + application + DevOps)
Vision: Enterprises operating on institutional intelligence-governed, self improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work-by building AI native digital workers that actually get the job done. We believe enterprises don't scale expertise-they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real world execution. The result is faster decisions, higher quality outcomes, and reliable execution at scale-in domains where getting it wrong isn't an option. We're starting with lending and due diligence workflows-complex, regulated, high stakes. From here, we're building the backbone for enterprise intelligence across industries. This is early stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes-not demos, not chatbots-JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup. SAIGroup is a private investment firm that has committed $1B to build and scale next generation, AI powered enterprise software companies. SAIGroup's portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide. We are hiring an experienced, hands on systems and AI Staff/Sr. Staff engineer to help build and operate the core, differentiated AI capabilities in the JazzX platform. You will be a technical leader and hands on builder, collaborating across multi disciplinary teams to deliver on our strategic roadmap. This is a pivotal technical role to scale multi agent systems, adaptive AI learning loops, and real time orchestration infrastructure that enables enterprise ready autonomy. Key Responsibilities Build scalable, intelligent backend systems that power real time orchestration of AI driven workflows across the enterprise. Design and implement infrastructure that enables collaborative AI agents to communicate, coordinate, and solve complex tasks together. Build flexible memory and context management systems that allow AI components to retain knowledge, personalize behaviour, and reason over past interactions. Contribute to adaptive learning pipelines that help the platform continuously improve through feedback, fine tuning, and in context learning. Develop tools and frameworks that simplify the design, composition, and integration of AI agents, models, and services-supporting both developers and non technical users. Engineer cloud native, low latency components using modern distributed system design patterns and DevOps practices. Drive observability, uptime, and incident resilience in a high stakes orchestration system. Champion testability, logging, metrics, and security best practices. Ensure operational excellence, including system reliability, observability, cost efficiency, and compliance through automation and well defined guardrails. Technical Leadership & Culture Building Contribute to architecture reviews, design decisions, and platform level evolution across workstreams. Mentor engineers in distributed systems, agentic AI, and enterprise grade software practices. Partner with other technical leaders, product, research, and design teams to deliver outcomes aligned with strategic milestones. Experience & Qualifications Technical Foundation 12+ years building cloud scale distributed systems with deep experience in microservices, API design, event driven architecture, and various design patterns. Mastery in at least two of: Python, Java, Go, TypeScript, C++. Experience deploying in Azure, AWS, or GCP; strong command of Kubernetes, Docker, and CI/CD pipelines. AI Systems & GenAI Expertise (Highly Preferred) Experience with LLM orchestration, MLOps, or agent based systems (e.g., LangChain, AutoGen, LangGraph). Hands on with feedback loops, fine tuning pipelines, model evaluation, or memory architectures. Knowledge of GenAI safety frameworks (e.g., bias mitigation, explainability, runtime guardrails). Systems Thinking & Leadership Demonstrated technical ownership of platform scale initiatives and multi quarter roadmaps. Experience designing for modularity, resilience, and observability at the system level. Exceptional communicator with a builder's mindset and ability to simplify the complex. We offer a competitive salary ranging from USD 173,000 to USD 242,000, along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. What draws people to JazzX AI is the opportunity to build something truly foundational.
04/05/2026
Full time
Vision: Enterprises operating on institutional intelligence-governed, self improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work-by building AI native digital workers that actually get the job done. We believe enterprises don't scale expertise-they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real world execution. The result is faster decisions, higher quality outcomes, and reliable execution at scale-in domains where getting it wrong isn't an option. We're starting with lending and due diligence workflows-complex, regulated, high stakes. From here, we're building the backbone for enterprise intelligence across industries. This is early stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes-not demos, not chatbots-JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup. SAIGroup is a private investment firm that has committed $1B to build and scale next generation, AI powered enterprise software companies. SAIGroup's portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide. We are hiring an experienced, hands on systems and AI Staff/Sr. Staff engineer to help build and operate the core, differentiated AI capabilities in the JazzX platform. You will be a technical leader and hands on builder, collaborating across multi disciplinary teams to deliver on our strategic roadmap. This is a pivotal technical role to scale multi agent systems, adaptive AI learning loops, and real time orchestration infrastructure that enables enterprise ready autonomy. Key Responsibilities Build scalable, intelligent backend systems that power real time orchestration of AI driven workflows across the enterprise. Design and implement infrastructure that enables collaborative AI agents to communicate, coordinate, and solve complex tasks together. Build flexible memory and context management systems that allow AI components to retain knowledge, personalize behaviour, and reason over past interactions. Contribute to adaptive learning pipelines that help the platform continuously improve through feedback, fine tuning, and in context learning. Develop tools and frameworks that simplify the design, composition, and integration of AI agents, models, and services-supporting both developers and non technical users. Engineer cloud native, low latency components using modern distributed system design patterns and DevOps practices. Drive observability, uptime, and incident resilience in a high stakes orchestration system. Champion testability, logging, metrics, and security best practices. Ensure operational excellence, including system reliability, observability, cost efficiency, and compliance through automation and well defined guardrails. Technical Leadership & Culture Building Contribute to architecture reviews, design decisions, and platform level evolution across workstreams. Mentor engineers in distributed systems, agentic AI, and enterprise grade software practices. Partner with other technical leaders, product, research, and design teams to deliver outcomes aligned with strategic milestones. Experience & Qualifications Technical Foundation 12+ years building cloud scale distributed systems with deep experience in microservices, API design, event driven architecture, and various design patterns. Mastery in at least two of: Python, Java, Go, TypeScript, C++. Experience deploying in Azure, AWS, or GCP; strong command of Kubernetes, Docker, and CI/CD pipelines. AI Systems & GenAI Expertise (Highly Preferred) Experience with LLM orchestration, MLOps, or agent based systems (e.g., LangChain, AutoGen, LangGraph). Hands on with feedback loops, fine tuning pipelines, model evaluation, or memory architectures. Knowledge of GenAI safety frameworks (e.g., bias mitigation, explainability, runtime guardrails). Systems Thinking & Leadership Demonstrated technical ownership of platform scale initiatives and multi quarter roadmaps. Experience designing for modularity, resilience, and observability at the system level. Exceptional communicator with a builder's mindset and ability to simplify the complex. We offer a competitive salary ranging from USD 173,000 to USD 242,000, along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. What draws people to JazzX AI is the opportunity to build something truly foundational.
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is remote and requires a Secret security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active Secret security clearance required. - Bachelor's degree in related field required. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
04/04/2026
Full time
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is remote and requires a Secret security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active Secret security clearance required. - Bachelor's degree in related field required. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is remote and requires a Secret security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active Secret security clearance required. - Bachelor's degree in related field required. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
04/04/2026
Full time
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is remote and requires a Secret security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active Secret security clearance required. - Bachelor's degree in related field required. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Fort Meade State MD Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in Fort Meade, MD, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in Ft Meade, MD up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
04/04/2026
Full time
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Fort Meade State MD Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in Fort Meade, MD, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in Ft Meade, MD up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, February 24, 2026 City San Antonio State TX Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in San Antonio, TX, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in San Antonio, TX up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
04/04/2026
Full time
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, February 24, 2026 City San Antonio State TX Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in San Antonio, TX, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in San Antonio, TX up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Fort Meade State MD Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in Fort Meade, MD, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in Ft Meade, MD up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
04/04/2026
Full time
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, March 24, 2026 City Fort Meade State MD Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in Fort Meade, MD, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in Ft Meade, MD up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, February 24, 2026 City San Antonio State TX Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in San Antonio, TX, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in San Antonio, TX up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
04/04/2026
Full time
General information Job Posting Title DevOps / Release Management Engineer Date Tuesday, February 24, 2026 City San Antonio State TX Country United States Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high impact government missions. Joining Maximus means contributing to meaningful work in fast paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is onsite five days a week in San Antonio, TX, and requires a TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems - Automates build, test, release, and deployment activities across development and operational environments - Maintains system reliability, scalability, performance, and availability - Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration - Supports software release management, version control, and change management activities - Troubleshoots issues across development, test, and production environments - Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery - Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements - Supports documentation, integration, testing, and accreditation activities - Participates in Agile program increment (PI) planning and activities requiring periodic travels Minimum Requirements: - Active TS/SCI clearance required - Bachelor's degree in related field required. - Must be able to report on-site in San Antonio, TX up to five days per week based on customer requirements. - 5 years of experience in DevOps, software development, or system administration - 3 years managing cloud services (AWS, Azure, or Google Cloud) - 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI) - 3 years collaborating with development, QA, and operations teams - 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible) - 3 years troubleshooting development, test, and production environments - Practical experience supporting release management and deployment processes Preferred Skills and Qualifications: - AWS Certified DevOps Engineer certification - Kubernetes Administrator certification - Azure DevOps Engineer / Solution Expert certification - Experience supporting DoD DevSecOps environments - Experience supporting RMF accreditation and secure system deployments Minimum Requirements TCS087, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 115,000.00 Maximum Salary $ 150,000.00
Job Description : We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills. They are required to have experience modernizing legacy Microsoft BI environments (including SSIS). This is not an SSIS-only role. The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations. This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions. The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems. This requires architectural thinking and hands-on technical execution. Core Responsibilities: Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards. Design and implement modern ETL/ELT pipelines in Azure Assess and refactor existing SSIS packages as part of broader modernization efforts Architect Lakehouse / Medallion data models Develop optimized dimensional data models (star schema) Integrate data from SQL Server, Oracle, APIs, and security platforms Design and deploy enterprise Power BI dashboards Build paginated reports using Power BI Report Builder Optimize DAX and dataset performance Implement Row-Level Security (RLS) Support CI/CD and DevOps deployment processes Produce technical documentation and data lineage artifacts Engage directly with executive stakeholders Required Technical Skills: (Must-Have) Data Engineering & Architecture: Strong ETL/ELT design and optimization experience Advanced SQL (expert-level required) Python / PySpark Dimensional data modeling (star schema required) REST API integrations Azure Data Stack: • Azure Data Factory • Azure Databricks • Azure Synapse Analytics • Azure Data Lake Storage Microsoft Data Platform: • Experience with SQL Server data warehouse environments • Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions Power BI: Power BI Desktop (expert-level) Advanced DAX Executive dashboard development Paginated reports (Power BI Report Builder) Data Gateway configuration Incremental refresh Row-Level Security (RLS) Nice to Have: Microsoft Purview Terraform (Infrastructure-as-Code) Orchestration tools (Airflow or equivalent) Security systems data integration experience Experience with C# / .NET web application development (for integration with internal systems or APIs) Experience Requirements: 7+ years of hands-on data engineering / analytics delivery Demonstrated experience building production data pipelines in Azure Proven experience delivering executive-facing Power BI solutions Experience working in complex enterprise environments Software Skills: 4-6 years of experience in Azure for building, deploying, and managing cloud-based data and application services. Technical Skills: 2-4 years of experience in .NET code development for developing and maintaining enterprise applications and data processing components. 6+ years of experience in Data Modeling including designing logical and physical data models for enterprise data warehouses and analytics systems. 6+ years of experience in Python scripting for data processing, automation, ETL development, and data transformation tasks. 6+ years of experience in Structured Query Language (SQL) for writing complex queries, stored procedures, performance tuning, and data manipulation.
04/04/2026
Full time
Job Description : We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills. They are required to have experience modernizing legacy Microsoft BI environments (including SSIS). This is not an SSIS-only role. The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations. This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions. The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems. This requires architectural thinking and hands-on technical execution. Core Responsibilities: Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards. Design and implement modern ETL/ELT pipelines in Azure Assess and refactor existing SSIS packages as part of broader modernization efforts Architect Lakehouse / Medallion data models Develop optimized dimensional data models (star schema) Integrate data from SQL Server, Oracle, APIs, and security platforms Design and deploy enterprise Power BI dashboards Build paginated reports using Power BI Report Builder Optimize DAX and dataset performance Implement Row-Level Security (RLS) Support CI/CD and DevOps deployment processes Produce technical documentation and data lineage artifacts Engage directly with executive stakeholders Required Technical Skills: (Must-Have) Data Engineering & Architecture: Strong ETL/ELT design and optimization experience Advanced SQL (expert-level required) Python / PySpark Dimensional data modeling (star schema required) REST API integrations Azure Data Stack: • Azure Data Factory • Azure Databricks • Azure Synapse Analytics • Azure Data Lake Storage Microsoft Data Platform: • Experience with SQL Server data warehouse environments • Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions Power BI: Power BI Desktop (expert-level) Advanced DAX Executive dashboard development Paginated reports (Power BI Report Builder) Data Gateway configuration Incremental refresh Row-Level Security (RLS) Nice to Have: Microsoft Purview Terraform (Infrastructure-as-Code) Orchestration tools (Airflow or equivalent) Security systems data integration experience Experience with C# / .NET web application development (for integration with internal systems or APIs) Experience Requirements: 7+ years of hands-on data engineering / analytics delivery Demonstrated experience building production data pipelines in Azure Proven experience delivering executive-facing Power BI solutions Experience working in complex enterprise environments Software Skills: 4-6 years of experience in Azure for building, deploying, and managing cloud-based data and application services. Technical Skills: 2-4 years of experience in .NET code development for developing and maintaining enterprise applications and data processing components. 6+ years of experience in Data Modeling including designing logical and physical data models for enterprise data warehouses and analytics systems. 6+ years of experience in Python scripting for data processing, automation, ETL development, and data transformation tasks. 6+ years of experience in Structured Query Language (SQL) for writing complex queries, stored procedures, performance tuning, and data manipulation.
An IAM Engineer designs, implements, and maintains identity lifecycle management platforms (e.g., SailPoint) to automate user provisioning, access requests, and compliance certifications. They ensure secure access, manage Active Directory, and troubleshoot production issues to align with security policies. Core Responsibilities Platform Operations & Maintenance: Monitor and maintain IGA platform to ensure high availability, performance, and security. Identity Lifecycle Management: Automate joiner, mover, and leaver (JML) processes to manage user provisioning/deprovisioning across enterprise systems. Access Governance: Define Role-Based Access Control (RBAC) models and conduct access certification campaigns to ensure compliance with policies Integration & Development: Develop connectors for applications, databases, and directories to enhance system interoperability. Troubleshooting & Support: Investigate and resolve production incidents related to identity services. Documentation & Standards: Create technical documentation, including architectural diagrams, design specifications, and test cases. Required Skills & Qualifications Technical Expertise: Proficiency in IAM tools (SailPoint), directory services (Active Directory, Azure AD), and scripting languages (e.g., PowerShell, BeanShell, REST APIs). Security Knowledge: Understanding of security protocols (SAML, OIDC, OAuth2) and regulatory compliance requirements. Experience: Proven experience in IAM/IGA implementation, DevOps principles, and CI/CD pipelines. Soft Skills: Strong collaboration skills to work with security, IT, and business stakeholders . Drive resolution on infrastructure systems Analyze system components across server infrastructure Automate systems monitoring tasks using standard monitoring tools Manage and provide systems infrastructure and application support Tear down remote support and network monitoring tools Optimize hardware configuration and performance of operational systems Analyzing network traffic using tools Using monitoring software and tools Set up monitoring systems for all new hardware and software Build development systems for software engineers Procuring hardware and software, deployment and support of that hardware or software Managing services and support contracts related to server and network systems Provide level 1 operations support for all production infrastructure through analysis of systems monitoring dashboards Setup and maintain testing environments/infrastructure Advance infrastructure and engineering teams Troubleshoot hardware and software issues Perform network troubleshooting to isolate and diagnose common network problems Completing checklists that support pre-production deployment of network services Call for internal infrastructure and vendor managed infrastructure Encountered within the network and security environments
04/04/2026
Full time
An IAM Engineer designs, implements, and maintains identity lifecycle management platforms (e.g., SailPoint) to automate user provisioning, access requests, and compliance certifications. They ensure secure access, manage Active Directory, and troubleshoot production issues to align with security policies. Core Responsibilities Platform Operations & Maintenance: Monitor and maintain IGA platform to ensure high availability, performance, and security. Identity Lifecycle Management: Automate joiner, mover, and leaver (JML) processes to manage user provisioning/deprovisioning across enterprise systems. Access Governance: Define Role-Based Access Control (RBAC) models and conduct access certification campaigns to ensure compliance with policies Integration & Development: Develop connectors for applications, databases, and directories to enhance system interoperability. Troubleshooting & Support: Investigate and resolve production incidents related to identity services. Documentation & Standards: Create technical documentation, including architectural diagrams, design specifications, and test cases. Required Skills & Qualifications Technical Expertise: Proficiency in IAM tools (SailPoint), directory services (Active Directory, Azure AD), and scripting languages (e.g., PowerShell, BeanShell, REST APIs). Security Knowledge: Understanding of security protocols (SAML, OIDC, OAuth2) and regulatory compliance requirements. Experience: Proven experience in IAM/IGA implementation, DevOps principles, and CI/CD pipelines. Soft Skills: Strong collaboration skills to work with security, IT, and business stakeholders . Drive resolution on infrastructure systems Analyze system components across server infrastructure Automate systems monitoring tasks using standard monitoring tools Manage and provide systems infrastructure and application support Tear down remote support and network monitoring tools Optimize hardware configuration and performance of operational systems Analyzing network traffic using tools Using monitoring software and tools Set up monitoring systems for all new hardware and software Build development systems for software engineers Procuring hardware and software, deployment and support of that hardware or software Managing services and support contracts related to server and network systems Provide level 1 operations support for all production infrastructure through analysis of systems monitoring dashboards Setup and maintain testing environments/infrastructure Advance infrastructure and engineering teams Troubleshoot hardware and software issues Perform network troubleshooting to isolate and diagnose common network problems Completing checklists that support pre-production deployment of network services Call for internal infrastructure and vendor managed infrastructure Encountered within the network and security environments
As a Business Intelligence and Data Engineer at Lionbridge Games, you will be responsible for designing and implementing BI solutions that help organizations make data-driven decisions. This includes extracting and analyzing data from various sources, creating dashboards and reports, and presenting findings to stakeholders. You will also work closely with other teams to identify opportunities for using data to drive business improvement and support decision-making. What You Will Do: Design, develop, and maintain ETL data pipelines to collect, pre-process, cleans, and store data from multiple sources. Build and optimize data models, warehouses, and databases to support business intelligence, analytics, and AI projects Develop and maintain interactive dashboards, reports, and visualizations using tools like Power BI, Tableau, or similar. Collaborate with stakeholders to understand business needs and deliver high-impact solutions. Ensure data accuracy, quality, consistency, and security through best practices in data governance. Automate data workflows and improve data infrastructure scalability. Monitor and troubleshoot data pipelines and systems to ensure optimal performance and reliability. Stay up to date with emerging trends and technologies in data engineering, business intelligence, and analytics. To Be Successful You Will Have: A Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, Software Engineering, or related field. Proven experience (+3 years) in Data Engineer, Business Intelligence Engineer, or a similar role. Strong proficiency in SQL, and experience working with relational databases (e.g. MySQL, PostgreSQL, SQL Server). Expertise in using Power BI and create Power BI model and dashboards are strongly preferred. Hands-on experiences with ETL tools and frameworks (e.g., Azure Data Factory, SQL Server Integration Services, Power Query). Strong programming skills in Python, Java, or Scala for data processing and automation. Experience with cloud platforms like Azure, AWS, or GCP and their data services is a plus. Strong Ability to translate business needs into technical data solutions. Excellent analytical and problem-solving skills and the ability to work independently and as part of a team. Strong communication skills in English to effectively collaborate with cross-functional teams and stakeholders. Proven ability to work on multiple projects in a fast-paced environment. Preferred qualifications: Expertise in Power BI development. Experience with Jira, Azure DevOps, Power Apps, Power Automate. Experience calling web service APIs. Experience working in Agile or Scrum environment. Familiarity with CI/CD pipelines for data engineering workflows. Certifications in Microsoft cloud platform is a plus (e.g. Microsoft Fabric Data Engineer). Competitive pay based on the work you'll do here and not your previous salary Free access to Lionbridge's Employee Wellness Platform and Employee Assistance Program to support both physical and mental health Career guidance with learning and development opportunities along the way, backed by Lionbridge's Internal Mobility and Referral Bonus programs Lionbridge enables more than 800 world-leading brands to increase international market share, speed adoption of products and effectively engage their customers in local markets worldwide. Using our innovative cloud technology platforms and our global crowd of more than 100,000 professional cloud workers, we provide translation, digital marketing, global content management and application testing solutions that ensure global brand consistency, local relevancy, and technical usability across all touch points of the customer lifecycle. Based in Waltham, MA, Lionbridge maintains solution centers in 25 countries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
04/03/2026
Full time
As a Business Intelligence and Data Engineer at Lionbridge Games, you will be responsible for designing and implementing BI solutions that help organizations make data-driven decisions. This includes extracting and analyzing data from various sources, creating dashboards and reports, and presenting findings to stakeholders. You will also work closely with other teams to identify opportunities for using data to drive business improvement and support decision-making. What You Will Do: Design, develop, and maintain ETL data pipelines to collect, pre-process, cleans, and store data from multiple sources. Build and optimize data models, warehouses, and databases to support business intelligence, analytics, and AI projects Develop and maintain interactive dashboards, reports, and visualizations using tools like Power BI, Tableau, or similar. Collaborate with stakeholders to understand business needs and deliver high-impact solutions. Ensure data accuracy, quality, consistency, and security through best practices in data governance. Automate data workflows and improve data infrastructure scalability. Monitor and troubleshoot data pipelines and systems to ensure optimal performance and reliability. Stay up to date with emerging trends and technologies in data engineering, business intelligence, and analytics. To Be Successful You Will Have: A Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, Software Engineering, or related field. Proven experience (+3 years) in Data Engineer, Business Intelligence Engineer, or a similar role. Strong proficiency in SQL, and experience working with relational databases (e.g. MySQL, PostgreSQL, SQL Server). Expertise in using Power BI and create Power BI model and dashboards are strongly preferred. Hands-on experiences with ETL tools and frameworks (e.g., Azure Data Factory, SQL Server Integration Services, Power Query). Strong programming skills in Python, Java, or Scala for data processing and automation. Experience with cloud platforms like Azure, AWS, or GCP and their data services is a plus. Strong Ability to translate business needs into technical data solutions. Excellent analytical and problem-solving skills and the ability to work independently and as part of a team. Strong communication skills in English to effectively collaborate with cross-functional teams and stakeholders. Proven ability to work on multiple projects in a fast-paced environment. Preferred qualifications: Expertise in Power BI development. Experience with Jira, Azure DevOps, Power Apps, Power Automate. Experience calling web service APIs. Experience working in Agile or Scrum environment. Familiarity with CI/CD pipelines for data engineering workflows. Certifications in Microsoft cloud platform is a plus (e.g. Microsoft Fabric Data Engineer). Competitive pay based on the work you'll do here and not your previous salary Free access to Lionbridge's Employee Wellness Platform and Employee Assistance Program to support both physical and mental health Career guidance with learning and development opportunities along the way, backed by Lionbridge's Internal Mobility and Referral Bonus programs Lionbridge enables more than 800 world-leading brands to increase international market share, speed adoption of products and effectively engage their customers in local markets worldwide. Using our innovative cloud technology platforms and our global crowd of more than 100,000 professional cloud workers, we provide translation, digital marketing, global content management and application testing solutions that ensure global brand consistency, local relevancy, and technical usability across all touch points of the customer lifecycle. Based in Waltham, MA, Lionbridge maintains solution centers in 25 countries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
At Mantari Industries, we're replacing yesterday's public sector weather systems with a full stack, AI-native platform that senses, models, and predicts Earth's atmosphere and oceans in near real time. Our mission is to sense Earth in its entirety - oceans, skies, and space - and close the gap between what nature does and what humanity knows. By building a distributed network of sensors fused with breakthrough AI, Mantari transforms raw environmental signals into actionable intelligence so that the world's most critical outcomes, from global trade and securing grids to defending nations, are guided not by uncertainty, but by foresight. Our autonomous edge sensing fleets, deep learning forecast models, and integrated customer decision engines will create the most precise weather intelligence on the planet-empowering industry, strengthening climate resilience, providing vital intelligence to American warfighters, and opening billion-dollar markets that don't exist yet. Backed by premier venture capital and led by engineers and scientists who've landed rockets and pioneered novel AI forecast techniques, we move fast, own the hard problems end to end, and measure success in real world impact. If you want to build frontier tech with outsized consequences, welcome aboard. Description The Head of Software will own the architecture and implementation of Mantari's full-stack weather intelligence platform - the software backbone that powers sensing, data assimilation, forecasting, analytics, and decision delivery. You'll design and lead the buildout of the core platform that ingests global sensor data, runs large-scale model training and inference, manages distributed compute pipelines, and serves forecast and analytic products to customers via APIs and integrated applications. This is a systems leadership role: you'll define the architecture, hire and mentor the engineering team, and ensure the platform meets Mantari's demanding standards for scale, resilience, latency, and security. You'll partner closely with the Head of Weather (who owns forecasting science), and Growth team and Forward Deployed Engineers (who integrate customer systems). Your job: turn the full-stack vision into code and build the infrastructure of foresight. Key Responsibilities Architect Mantari's end-to-end platform, spanning: Sensor platform autonomy and edge compute Sensor data ingestion and transformation Data assimilation and model runtime orchestration Scalable model training and distributed inference API services and analytics layers Secure multi-tenant customer delivery Lead software design for modular, cloud-native, and high-availability systems (microservices, container orchestration, data streaming) Define the platform runtime - how models (physics-based, hybrid, AI) are deployed, scheduled, and versioned. Verification/validation for customers is critical! Build developer velocity with best-in-class CI/CD, observability, and deployment pipelines Own cloud infrastructure (GCP/AWS/Azure), including cost optimization, GPU fleet management, and multi-region scaling Establish data platform foundations (storage, ETL, metadata, lineage, reanalysis) Collaborate with ML and atmospheric science teams to align software design with model and data needs Set technical standards across codebase, security, APIs, and reliability Recruit, mentor, and scale Mantari's software engineering team Requirements BS/MS/PhD in Computer Science, Software Engineering, or related technical field 8+ years in software architecture and systems engineering Proven experience designing and operating large-scale, cloud-native platforms (multi-service, distributed, high-throughput) Deep expertise in: Cloud infrastructure (GCP, AWS, or Azure) Container orchestration (Kubernetes, Nomad, Slurm) Data streaming and pipelines (Kafka, Beam, Ray, Spark) Microservice design, API gateways, and backend architecture Strong foundation in DevOps: CI/CD, infrastructure as code, monitoring, and observability Experience supporting ML/AI pipelines (training, inference, versioning) at scale Track record of leading teams delivering production-critical platforms Bonus Qualifications Background building real-time analytics, or computing systems/earth observation systems Familiarity with GPU-accelerated workloads, distributed training, or model serving at scale Knowledge of forecasting systems, data assimilation, or simulation pipelines Comfort working across disciplines - science, ML, software, product Strong communication skills and leadership presence How We Work Small, senior team; high autonomy, high expectations. Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock. LA HQ required. Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget. Weather shapes every decision made on Earth. At Mantari you'll write code that moves metal, launch sensors that tame storms, and see your work ship in weeks-not years. Join us to build the world's first private full-stack weather platform and leave your fingerprints on infrastructure that will outlast us all. Apply now-let's create the future of weather, together. As set forth in Mantari's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
04/02/2026
Full time
At Mantari Industries, we're replacing yesterday's public sector weather systems with a full stack, AI-native platform that senses, models, and predicts Earth's atmosphere and oceans in near real time. Our mission is to sense Earth in its entirety - oceans, skies, and space - and close the gap between what nature does and what humanity knows. By building a distributed network of sensors fused with breakthrough AI, Mantari transforms raw environmental signals into actionable intelligence so that the world's most critical outcomes, from global trade and securing grids to defending nations, are guided not by uncertainty, but by foresight. Our autonomous edge sensing fleets, deep learning forecast models, and integrated customer decision engines will create the most precise weather intelligence on the planet-empowering industry, strengthening climate resilience, providing vital intelligence to American warfighters, and opening billion-dollar markets that don't exist yet. Backed by premier venture capital and led by engineers and scientists who've landed rockets and pioneered novel AI forecast techniques, we move fast, own the hard problems end to end, and measure success in real world impact. If you want to build frontier tech with outsized consequences, welcome aboard. Description The Head of Software will own the architecture and implementation of Mantari's full-stack weather intelligence platform - the software backbone that powers sensing, data assimilation, forecasting, analytics, and decision delivery. You'll design and lead the buildout of the core platform that ingests global sensor data, runs large-scale model training and inference, manages distributed compute pipelines, and serves forecast and analytic products to customers via APIs and integrated applications. This is a systems leadership role: you'll define the architecture, hire and mentor the engineering team, and ensure the platform meets Mantari's demanding standards for scale, resilience, latency, and security. You'll partner closely with the Head of Weather (who owns forecasting science), and Growth team and Forward Deployed Engineers (who integrate customer systems). Your job: turn the full-stack vision into code and build the infrastructure of foresight. Key Responsibilities Architect Mantari's end-to-end platform, spanning: Sensor platform autonomy and edge compute Sensor data ingestion and transformation Data assimilation and model runtime orchestration Scalable model training and distributed inference API services and analytics layers Secure multi-tenant customer delivery Lead software design for modular, cloud-native, and high-availability systems (microservices, container orchestration, data streaming) Define the platform runtime - how models (physics-based, hybrid, AI) are deployed, scheduled, and versioned. Verification/validation for customers is critical! Build developer velocity with best-in-class CI/CD, observability, and deployment pipelines Own cloud infrastructure (GCP/AWS/Azure), including cost optimization, GPU fleet management, and multi-region scaling Establish data platform foundations (storage, ETL, metadata, lineage, reanalysis) Collaborate with ML and atmospheric science teams to align software design with model and data needs Set technical standards across codebase, security, APIs, and reliability Recruit, mentor, and scale Mantari's software engineering team Requirements BS/MS/PhD in Computer Science, Software Engineering, or related technical field 8+ years in software architecture and systems engineering Proven experience designing and operating large-scale, cloud-native platforms (multi-service, distributed, high-throughput) Deep expertise in: Cloud infrastructure (GCP, AWS, or Azure) Container orchestration (Kubernetes, Nomad, Slurm) Data streaming and pipelines (Kafka, Beam, Ray, Spark) Microservice design, API gateways, and backend architecture Strong foundation in DevOps: CI/CD, infrastructure as code, monitoring, and observability Experience supporting ML/AI pipelines (training, inference, versioning) at scale Track record of leading teams delivering production-critical platforms Bonus Qualifications Background building real-time analytics, or computing systems/earth observation systems Familiarity with GPU-accelerated workloads, distributed training, or model serving at scale Knowledge of forecasting systems, data assimilation, or simulation pipelines Comfort working across disciplines - science, ML, software, product Strong communication skills and leadership presence How We Work Small, senior team; high autonomy, high expectations. Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock. LA HQ required. Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget. Weather shapes every decision made on Earth. At Mantari you'll write code that moves metal, launch sensors that tame storms, and see your work ship in weeks-not years. Join us to build the world's first private full-stack weather platform and leave your fingerprints on infrastructure that will outlast us all. Apply now-let's create the future of weather, together. As set forth in Mantari's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is an American life insurance company owned by German global financial services group. They offer various products, including fixed and variable annuities and life insurance. These products are offered through a network of more than 100,000 agents nationwide. Project Description This role supports business-as-usual operations and ensures disaster recovery readiness for enterprise applications and infrastructure. It focuses on DevOps leadership, implementation of secure CI/CD practices, Azure administration, and mentoring development teams on DevSecOps principles. The environment is hybrid and leverages modern cloud native tools and practices on Microsoft Azure. Technologies PowerShell, SonarQube, Prisma Cloud Python, Databricks, ArgoCD What You'll Do Lead DevOps practices, standards, and procedures across onshore and offshore shifts; Manage Git version control, branching strategies, and pipeline design best practices; Oversee release management including gated deployments and blue green/canary strategies; Integrate DevSecOps tools such as SonarQube and Prisma Cloud for static code and software composition analysis; Perform Azure administration, including scripting (Azure CLI & PowerShell), monitoring, networking, and Key Vault configuration; Build and maintain Azure DevOps pipelines (YAML/classic), containerization using Docker, Kubernetes clusters, and Helm charts; Implement Infrastructure as Code using Terraform; Manage Azure DevOps Project (Boards, Repos, Pipelines, Artifacts) and ensure secure service connections and retention policies; Support agile practices using Azure Boards (sprint planning, backlog management); Ensure compliance with RBAC policies, audit controls, and security integrations; Issue troubleshooting across environments including production, opening and management of incidents with internal IT and vendors (e.g., Microsoft, Databricks); Contribute to architectural discussions, documentation, and code reviews; Mentor development teams in DevSecOps concepts and practices; Job Requirements 5+ years of hands on experience in DevOps, with emphasis on Azure DevOps and secure cloud infrastructure; Strong background in scripting (PowerShell, Azure CLI), containerization (Docker, Kubernetes), and CI/CD; Deep familiarity with Microsoft Azure ecosystem including networking, Key Vault, and SQL DB administration; Experience implementing DevSecOps pipelines with static code and composition analysis tools; Proven ability to troubleshoot complex systems and work with vendors on incident resolution; Strong communication skills, documentation discipline, and mentoring ability; English proficiency at B2 level or higher; Must be available to work 8:00 AM - 4:00 PM CST; What Do We Offer Working from home; Health insurance for employee and dependents; Life insurance; December bonus; Pantry bonds; Teleworking allowance; Internal startup incubator; Technical and non technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Referral program for bringing in new talent; Work anniversary program and additional vacation days; Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
04/02/2026
Full time
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is an American life insurance company owned by German global financial services group. They offer various products, including fixed and variable annuities and life insurance. These products are offered through a network of more than 100,000 agents nationwide. Project Description This role supports business-as-usual operations and ensures disaster recovery readiness for enterprise applications and infrastructure. It focuses on DevOps leadership, implementation of secure CI/CD practices, Azure administration, and mentoring development teams on DevSecOps principles. The environment is hybrid and leverages modern cloud native tools and practices on Microsoft Azure. Technologies PowerShell, SonarQube, Prisma Cloud Python, Databricks, ArgoCD What You'll Do Lead DevOps practices, standards, and procedures across onshore and offshore shifts; Manage Git version control, branching strategies, and pipeline design best practices; Oversee release management including gated deployments and blue green/canary strategies; Integrate DevSecOps tools such as SonarQube and Prisma Cloud for static code and software composition analysis; Perform Azure administration, including scripting (Azure CLI & PowerShell), monitoring, networking, and Key Vault configuration; Build and maintain Azure DevOps pipelines (YAML/classic), containerization using Docker, Kubernetes clusters, and Helm charts; Implement Infrastructure as Code using Terraform; Manage Azure DevOps Project (Boards, Repos, Pipelines, Artifacts) and ensure secure service connections and retention policies; Support agile practices using Azure Boards (sprint planning, backlog management); Ensure compliance with RBAC policies, audit controls, and security integrations; Issue troubleshooting across environments including production, opening and management of incidents with internal IT and vendors (e.g., Microsoft, Databricks); Contribute to architectural discussions, documentation, and code reviews; Mentor development teams in DevSecOps concepts and practices; Job Requirements 5+ years of hands on experience in DevOps, with emphasis on Azure DevOps and secure cloud infrastructure; Strong background in scripting (PowerShell, Azure CLI), containerization (Docker, Kubernetes), and CI/CD; Deep familiarity with Microsoft Azure ecosystem including networking, Key Vault, and SQL DB administration; Experience implementing DevSecOps pipelines with static code and composition analysis tools; Proven ability to troubleshoot complex systems and work with vendors on incident resolution; Strong communication skills, documentation discipline, and mentoring ability; English proficiency at B2 level or higher; Must be available to work 8:00 AM - 4:00 PM CST; What Do We Offer Working from home; Health insurance for employee and dependents; Life insurance; December bonus; Pantry bonds; Teleworking allowance; Internal startup incubator; Technical and non technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Referral program for bringing in new talent; Work anniversary program and additional vacation days; Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
Overview Azure DevSecOps Engineer (Secret) (4594) at SMX (View all jobs) () Boston, MA; Colorado Springs, CO; Tampa, FL; Washington, DC SMX is seeking an Azure DevSecOps Engineer supporting the design and implementation of secure, scalable multi-cloud infrastructure, applications, and services in support of enterprise cloud migration and mission-critical systems for the United States Air Force. Responsible for cloud design, development, engineering, integration, and architecture. Will help onboard new Microsoft Azure cloud accounts and applications, conduct security patching, build code pipelines, and support deployment activities, primarily with Azure, but familiarity with multi-cloud solutions (Azure, Google, and Oracle), and Commercial Cloud Enterprise (C2E) classified cloud migration and deployments is important. May develop solutions from scratch using tools such as Ansible, Jenkins, Packer, and related products. Will contribute to the overall strategic vision and integrate a broad range of engineering solutions in support of client requirements for Air Force cloud projects. Helps formulate and define system scope and objectives; develops or modifies processes to solve complex problems for cloud systems, business, and electronic interfaces to achieve desired results through the use of innovative technologies. Able to apply engineering and design methods, theories, and research techniques in the investigation and solution of complex and advanced cloud requirements, hardware/software interfaces, and applications, and solutions. Responsibilities Design, architect, and optimize secure cloud solutions in Azure Navigate client-facing engagements and work in tandem with other vendors Contribute to technical discussions both internally and with customer or vendor teams Focus on cloud-native services and optimizing the customer landscape through adoption of these services Define and engineer solution capabilities that satisfy customer business drivers / requirements and meet service delivery objectives Lead and/or support cloud migration strategies and establish environments (Dev, QA, Prod, etc.) across classified and unclassified networks Implement automation for provisioning, configuration, security, and monitoring using DevOps best practices Integrate cloud services with analytics tools Support infrastructure security design, patching, and compliance documentation to support governance and ATO processes Develop and apply engineering methods and solutions for cloud environments Required Skills & Experience Must have 8 years' experience in industry with a Bachelor's degree (or Associate degree +2 years direct Azure DevSecOps relevant experience, or 4 years direct Azure DevSecOps relevant experience) Active Security Clearance Required: Secret Must have experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments Must have experience with integration of Software with IBM Maximo Application Suite (MAS) Architecture, IBM WebSphere, and Red Hat OpenShift on Azure Ability to host applications on commercial cloud providers with a focus on Azure environments Experience with containerization and container orchestration platforms and tools including Docker or Kubernetes Ability to work with application development teams across the software development lifecycle Expertise in cloud, including native services for compute, storage, networking, security, and automation Desired Skills & Experience Prior experience supporting United States Air Force cloud programs Experience automating infrastructure provisioning with tools including CloudFormation or Terraform Experience automating CI/CD pipelines with tools such as Jenkins or GitLab Experience with Ansible, Chef, Puppet, Maven, Gradle, NPM Knowledge of scripting languages such as Python, Linux Shell Script Knowledge of creating and improving continuous automation across multiple technical stacks Knowledge of triaging and resolving issues related to both open source and commercial tools in public cloud environments Cloud certification(s) Application Details Application Deadline: November 24, 2025 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $96,400-$160,600 USD At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
04/02/2026
Full time
Overview Azure DevSecOps Engineer (Secret) (4594) at SMX (View all jobs) () Boston, MA; Colorado Springs, CO; Tampa, FL; Washington, DC SMX is seeking an Azure DevSecOps Engineer supporting the design and implementation of secure, scalable multi-cloud infrastructure, applications, and services in support of enterprise cloud migration and mission-critical systems for the United States Air Force. Responsible for cloud design, development, engineering, integration, and architecture. Will help onboard new Microsoft Azure cloud accounts and applications, conduct security patching, build code pipelines, and support deployment activities, primarily with Azure, but familiarity with multi-cloud solutions (Azure, Google, and Oracle), and Commercial Cloud Enterprise (C2E) classified cloud migration and deployments is important. May develop solutions from scratch using tools such as Ansible, Jenkins, Packer, and related products. Will contribute to the overall strategic vision and integrate a broad range of engineering solutions in support of client requirements for Air Force cloud projects. Helps formulate and define system scope and objectives; develops or modifies processes to solve complex problems for cloud systems, business, and electronic interfaces to achieve desired results through the use of innovative technologies. Able to apply engineering and design methods, theories, and research techniques in the investigation and solution of complex and advanced cloud requirements, hardware/software interfaces, and applications, and solutions. Responsibilities Design, architect, and optimize secure cloud solutions in Azure Navigate client-facing engagements and work in tandem with other vendors Contribute to technical discussions both internally and with customer or vendor teams Focus on cloud-native services and optimizing the customer landscape through adoption of these services Define and engineer solution capabilities that satisfy customer business drivers / requirements and meet service delivery objectives Lead and/or support cloud migration strategies and establish environments (Dev, QA, Prod, etc.) across classified and unclassified networks Implement automation for provisioning, configuration, security, and monitoring using DevOps best practices Integrate cloud services with analytics tools Support infrastructure security design, patching, and compliance documentation to support governance and ATO processes Develop and apply engineering methods and solutions for cloud environments Required Skills & Experience Must have 8 years' experience in industry with a Bachelor's degree (or Associate degree +2 years direct Azure DevSecOps relevant experience, or 4 years direct Azure DevSecOps relevant experience) Active Security Clearance Required: Secret Must have experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments Must have experience with integration of Software with IBM Maximo Application Suite (MAS) Architecture, IBM WebSphere, and Red Hat OpenShift on Azure Ability to host applications on commercial cloud providers with a focus on Azure environments Experience with containerization and container orchestration platforms and tools including Docker or Kubernetes Ability to work with application development teams across the software development lifecycle Expertise in cloud, including native services for compute, storage, networking, security, and automation Desired Skills & Experience Prior experience supporting United States Air Force cloud programs Experience automating infrastructure provisioning with tools including CloudFormation or Terraform Experience automating CI/CD pipelines with tools such as Jenkins or GitLab Experience with Ansible, Chef, Puppet, Maven, Gradle, NPM Knowledge of scripting languages such as Python, Linux Shell Script Knowledge of creating and improving continuous automation across multiple technical stacks Knowledge of triaging and resolving issues related to both open source and commercial tools in public cloud environments Cloud certification(s) Application Details Application Deadline: November 24, 2025 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $96,400-$160,600 USD At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1). This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end to end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine tune Large Language Models (LLMs) and build LLM driven applications. Implement Retrieval Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join our team or connect with us at . Requirements Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration
04/02/2026
Full time
Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1). This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end to end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine tune Large Language Models (LLMs) and build LLM driven applications. Implement Retrieval Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join our team or connect with us at . Requirements Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration
Primer helps B2B products break out of the B2C-centric marketing box. Our platform turns consumer ad channels, data streams, and emerging AI workflows into measurable growth engines for go-to-market teams. We ingest billions of rows from first- and third-party sources, map them to rich company context, and surface hyper-targeted audiences and real-time performance alerts-all without vendor lock-in. That only works if the lights stay on , queries stay fast , and incidents stay rare . That's where you come in. As our first dedicated Site Reliability Engineer , you'll be the force multiplier who designs, builds, and operates the infrastructure that powers everything: petabyte-scale data pipelines, LLM-backed services, and the APIs our customers (and engineers!) rely on every day. You'll pair hard-won ops experience with a mentor's mindset-levelling up the whole team while keeping us four steps ahead of failure. YOUR MISSION Own reliability from design to customer. Define and uphold SLOs / SLIs, manage error budgets, and lead blameless post-mortems. Automate toil out of existence-CI/CD, infra-as-code, capacity planning, and chaos testing. Drive incident response end-to-end: detection, mitigation, root-cause analysis, and long-term fixes. Scale multi-cloud data pipelines (Prefect, ClickHouse, Iceberg) and GPU/LLM workloads. Teach best practices, review designs, and coach engineers so reliability becomes a team sport. WHAT YOU'LL DO Design, implement, and tune distributed systems that handle high-throughput B2B traffic . Harden our AWS stack with IaC (e.g. Terraform) Instrument everything-logs, traces, metrics, and AI-powered anomaly detection. Champion security, cost optimization, and disaster-recovery strategies. Jump into the weeds when something breaks, fix it fast, then automate it away. WHAT YOU'LL BRING Must-Haves 5+ years owning production systems at meaningful scale (sub-second latency, "four-nines" targets). Mastery of SRE fundamentals: SLO/SLI design, error budgets, incident playbooks. Deep hands-on with Linux, networking, containers/K8s, and at least one major cloud (AWS/GCP/Azure). Proven track record automating infra with Terraform, Helm, or similar IaC tooling. Fluency in at least one systems / scripting language (Go, Python, Rust, etc.). Experience operating complex data pipelines (Prefect, Airflow, Temporal) or real-time streaming systems. History of mentoring engineers and embedding reliability culture across teams. Pragmatic decision-maker-balances uptime, velocity, and cost for startup reality. Curiosity for AI-augmented ops (LLM chat-ops, anomaly detection, self-healing). Nice-to-Haves Managed GPU clusters and ML inference workloads. Operated data lakes / lakehouses at scale (Iceberg, Delta, etc.). Meaningful open-source contributions in SRE, DevOps, or data-infra projects. WHY PRIMER Mission with impact - We're unlocking new growth channels for thousands of B2B marketers. High-trust, low-ego culture - Fully distributed team, meeting-light weeks, Friday focus days. Work & life, balanced - Five weeks PTO, generous parental leave, and flexibility for families. Career rocket-fuel - Small team, huge problems, real ownership. Shape the future with bold innovators, driving impact that redefines industries. Diverse & global - Teammates span six countries-and counting. Intro Call with Engineering Manager - 30 min System Design - 60 min Operational Excellence Drill-down - 60 min Strategic Pragmatism Chat with CTO - 45 min Technical Coding/Systems Deep Dive - 30 min Culture & Values with CEO - 45 min Decision typically within 24-48 hrs of final conversation. READY TO LEVEL UP B2B MARKETING INFRASTRUCTURE? Email with your résumé, LinkedIn, GitHub, or anything that showcases your reliability superpowers. Let's build the future-without the fire-drills.
04/02/2026
Full time
Primer helps B2B products break out of the B2C-centric marketing box. Our platform turns consumer ad channels, data streams, and emerging AI workflows into measurable growth engines for go-to-market teams. We ingest billions of rows from first- and third-party sources, map them to rich company context, and surface hyper-targeted audiences and real-time performance alerts-all without vendor lock-in. That only works if the lights stay on , queries stay fast , and incidents stay rare . That's where you come in. As our first dedicated Site Reliability Engineer , you'll be the force multiplier who designs, builds, and operates the infrastructure that powers everything: petabyte-scale data pipelines, LLM-backed services, and the APIs our customers (and engineers!) rely on every day. You'll pair hard-won ops experience with a mentor's mindset-levelling up the whole team while keeping us four steps ahead of failure. YOUR MISSION Own reliability from design to customer. Define and uphold SLOs / SLIs, manage error budgets, and lead blameless post-mortems. Automate toil out of existence-CI/CD, infra-as-code, capacity planning, and chaos testing. Drive incident response end-to-end: detection, mitigation, root-cause analysis, and long-term fixes. Scale multi-cloud data pipelines (Prefect, ClickHouse, Iceberg) and GPU/LLM workloads. Teach best practices, review designs, and coach engineers so reliability becomes a team sport. WHAT YOU'LL DO Design, implement, and tune distributed systems that handle high-throughput B2B traffic . Harden our AWS stack with IaC (e.g. Terraform) Instrument everything-logs, traces, metrics, and AI-powered anomaly detection. Champion security, cost optimization, and disaster-recovery strategies. Jump into the weeds when something breaks, fix it fast, then automate it away. WHAT YOU'LL BRING Must-Haves 5+ years owning production systems at meaningful scale (sub-second latency, "four-nines" targets). Mastery of SRE fundamentals: SLO/SLI design, error budgets, incident playbooks. Deep hands-on with Linux, networking, containers/K8s, and at least one major cloud (AWS/GCP/Azure). Proven track record automating infra with Terraform, Helm, or similar IaC tooling. Fluency in at least one systems / scripting language (Go, Python, Rust, etc.). Experience operating complex data pipelines (Prefect, Airflow, Temporal) or real-time streaming systems. History of mentoring engineers and embedding reliability culture across teams. Pragmatic decision-maker-balances uptime, velocity, and cost for startup reality. Curiosity for AI-augmented ops (LLM chat-ops, anomaly detection, self-healing). Nice-to-Haves Managed GPU clusters and ML inference workloads. Operated data lakes / lakehouses at scale (Iceberg, Delta, etc.). Meaningful open-source contributions in SRE, DevOps, or data-infra projects. WHY PRIMER Mission with impact - We're unlocking new growth channels for thousands of B2B marketers. High-trust, low-ego culture - Fully distributed team, meeting-light weeks, Friday focus days. Work & life, balanced - Five weeks PTO, generous parental leave, and flexibility for families. Career rocket-fuel - Small team, huge problems, real ownership. Shape the future with bold innovators, driving impact that redefines industries. Diverse & global - Teammates span six countries-and counting. Intro Call with Engineering Manager - 30 min System Design - 60 min Operational Excellence Drill-down - 60 min Strategic Pragmatism Chat with CTO - 45 min Technical Coding/Systems Deep Dive - 30 min Culture & Values with CEO - 45 min Decision typically within 24-48 hrs of final conversation. READY TO LEVEL UP B2B MARKETING INFRASTRUCTURE? Email with your résumé, LinkedIn, GitHub, or anything that showcases your reliability superpowers. Let's build the future-without the fire-drills.
Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans. At HHSC, your contributions matter, and we support you at each stage of your life and work journey. Our comprehensive benefits package includes 100% paid employee health insurance for full time eligible employees, a defined benefit pension plan, generous time off benefits, numerous opportunities for career advancement and more. Job Details Functional Title: CTO Architect Job Title: Systems Analyst VI Agency: Health & Human Services Comm Department: CHIEF TECHNOLOGY OFFICE Posting Number: 14937 Closing Date: 06/14/2026 Posting Audience: Internal and External Occupational Category: Computer and Mathematical Salary Range: $7,015.16-$10,500.00 Pay Frequency: Monthly Salary Group: TEXAS-B-27 Shift: Day Additional Shift: Days (First) Regular/Temporary: Regular Full Time/Part Time: Full time FLSA Exempt/Non-Exempt: Exempt Facility Location: Austin Job Location: 4601 W GUADALUPE ST, AUSTIN MOS Codes: 0171,8848,8858,181X,182X,1D7X1,255A,255S,25B,25D,25H,26B,62E,681X,682X,781X,CTI,CTM,CTR,CYB10,CYB11 ISM,IT,Z Prefix Brief Job Description This position is open to U.S. Citizens and permanent residents. Selected candidate must be willing to work onsite from an HHS office located in Austin, Texas. The CTO Architect is responsible for setting the technical direction for the agency, implementing technical governance, providing technical leadership across the agency, and representing the agency in a technology capacity. Essential Job Functions (EJFs) Attends work on a regular and predictable schedule in accordance with agency leave policy and performs other duties as assigned. Leads agency initiatives to set the technology direction. Researches and documents current state architecture through agency-wide meetings with management. Identifies agency and business strategies and aligns IT strategy to support agency and business strategic plans. Understands the desired business outcomes and their implications to the technology systems that support the agency and business. Understands the agency and system capabilities in the current state. Assesses the impact of change and the organization's ability to accept the change, as well as establish a rate of change. Identifies target and future technology states. Establishes technology roadmaps to move successfully from current state architectures to future state architectures including budget planning for roadmap implementations as well as organizational changes need to support new system capabilities. Evaluates emerging technologies for applicability to the agency and determines organizational implementation strategies. Evaluates and review vendor proposals. Evaluate and review legislative proposals for agency technology impact and cost. Leads the implementation of technology governance within the agency and across the vendor community. Through cross-division leadership work, develops technology principles, standards, and policies. Leads agency architects in best practices for developing systems and implementing standards including standards and quality management for system documentation. Leads organization efforts, working with IT-wide technical leadership, to govern and enforce the agency standards in policies as they apply to solutions and systems for data protection, security controls, audit implications, and cost of implementation. Develops and implements processes for the governance of technology for the agency at the business level, IT division level, and with other agencies (DIR) and vendors. Leads the centers of excellence to identify guidelines and best practices for specific technologies, decision-making matrices, and identify needed policies. Represents the IT division and agency as a technology leader. Develops and leads technology specific communities of practice helping to develop skills and share information. Establishes best practices for IT and vendors in developing and deploying agency system and solutions; including leading the development of IT non-functional requirements for vendor developed systems. Represents the agency in cross agency initiatives within the state as well as with other health-related agencies at the local, state, and federal level. Presents thought leadership at both technology and health industry conferences. Knowledge, Skills and Abilities (KSAs) Knowledge of architecture frameworks Knowledge of NIST cybersecurity framework Knowledge of networking architectures and principles Knowledge of databases, including SQL and NoSQL data stores, e.g. Postgres. Knowledge of scripting, such as PowerShell, Python, or Perl Knowledge of cloud delivery models: PaaS, SaaS, IaaS. Knowledge of automation of CI/CD and DevOps environment. Knowledge of agile (scrum) methodology and scrum ceremonies. Knowledge of open-source technology, software development and systems engineering. Knowledge of cloud-based services for AWS, Microsoft Azure or GCP. Knowledge of OpenStack, Linux/UNIX, Rackspace, Docker, etc. Knowledge of declarative languages (e.g., yaml, json, etc.). Skill in architecting services, including APIs and Web Services. Skill in systems design, programming, implementation and integration of complex distributed IT solutions (e.g. cloud, distributed systems or high-performance computing experience). Skill in architecting modern web applications using one or more of the following: Node, Python, Java, Spring, Spring Boot, RDBMS. Skill in cloud-based AI services Ability to be adaptable and learn quickly. Ability to deliver work within defined schedules, cost and quality. Ability to coordinate multiple assignments, set priorities, and meet deadlines. Ability to communicate with a high level of effectiveness both verbally and in written formats. Ability to build consensus across disparate parts of the organization. Ability to adapt and learn quickly. Ability to lead and provide direction to team members. Ability to lead the creation of best practices and procedures. Registrations, Licensure Requirements or Certifications TOGAF Certification Initial Screening Criteria Required: Graduation from a college or university with a Bachelor of Administration (BA) or Bachelor of Science (BS) in Computer Science, Information Systems, Business, or a related field is required. Experience may be substituted on a year-for-year basis. 5+ years of IT experience within Global IT environments including cloud and third-party outsourced components. Preferred: 3+ years of experience architecting, engineering, supporting or developing enterprise IT solutions in hosted and cloud environment. 2+ years of experience as an Architect. Hands on experience and current skills in two or more areas: System Engineering, DevOps, Security, Networking, Application Development, Data Intelligence, Infrastructure Services, or Database. Experience with Agile, ITIL and TOGAF frameworks. Experience with at least three of the following domains: cloud, analytics, data management, infrastructure, access channels, security, applications, software engineering, networking, or systems integration preferred. Experience with wireless communications, network security, voice and data networking systems Additional Information Any employment offer is contingent upon available budgeted funds. The offered salary will be determined in accordance with budgetary limits and the requirements of HHSC Human Resources Manual. Selected candidates must be legally authorized to work in the U.S. without sponsorship. Selected candidate must be willing to commute to the office on the required days. Active Duty, Military, Reservists, Guardsmen, and Veterans Military occupation(s) that relate to the initial selection criteria and registration or licensure requirements for this position may include, but not limited tothose listed in this posting. All active duty military, reservists, guardsmen, and veterans are encouraged to apply if qualified to fill this position. For more information please see the Texas State Auditor's Job Descriptions, Military Crosswalk and Military Crosswalk Guide at Texas State Auditor's Office - Job Descriptions. ADA Accommodations In compliance with the Americans with Disabilities Act (ADA), HHSC and DSHS agencies will provide reasonable accommodation during the hiring and selection process for qualified individuals with a disability. If you need assistance completing the on line application, contact the HHS Employee Service Center at 1-. If you are contacted for an interview and need accommodation to participate in the interview process, please notify the person scheduling the interview. Pre Employment Checks and Work Eligibility Depending on the program area and position requirements, applicants selected for hire may be required to pass background and other due diligence checks. HHSC uses E-Verify. You must bring your I-9 documentation with you on your first day of work. Download the I-9 Form Telework Disclaimer This position may be eligible for telework. Please note, all HHS positions are subject to state and agency telework policies in addition to the discretion of the direct supervisor and business needs. Benefits of Working at HHS: explore more details on the Benefits of Working at HHS webpage.
04/02/2026
Full time
Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans. At HHSC, your contributions matter, and we support you at each stage of your life and work journey. Our comprehensive benefits package includes 100% paid employee health insurance for full time eligible employees, a defined benefit pension plan, generous time off benefits, numerous opportunities for career advancement and more. Job Details Functional Title: CTO Architect Job Title: Systems Analyst VI Agency: Health & Human Services Comm Department: CHIEF TECHNOLOGY OFFICE Posting Number: 14937 Closing Date: 06/14/2026 Posting Audience: Internal and External Occupational Category: Computer and Mathematical Salary Range: $7,015.16-$10,500.00 Pay Frequency: Monthly Salary Group: TEXAS-B-27 Shift: Day Additional Shift: Days (First) Regular/Temporary: Regular Full Time/Part Time: Full time FLSA Exempt/Non-Exempt: Exempt Facility Location: Austin Job Location: 4601 W GUADALUPE ST, AUSTIN MOS Codes: 0171,8848,8858,181X,182X,1D7X1,255A,255S,25B,25D,25H,26B,62E,681X,682X,781X,CTI,CTM,CTR,CYB10,CYB11 ISM,IT,Z Prefix Brief Job Description This position is open to U.S. Citizens and permanent residents. Selected candidate must be willing to work onsite from an HHS office located in Austin, Texas. The CTO Architect is responsible for setting the technical direction for the agency, implementing technical governance, providing technical leadership across the agency, and representing the agency in a technology capacity. Essential Job Functions (EJFs) Attends work on a regular and predictable schedule in accordance with agency leave policy and performs other duties as assigned. Leads agency initiatives to set the technology direction. Researches and documents current state architecture through agency-wide meetings with management. Identifies agency and business strategies and aligns IT strategy to support agency and business strategic plans. Understands the desired business outcomes and their implications to the technology systems that support the agency and business. Understands the agency and system capabilities in the current state. Assesses the impact of change and the organization's ability to accept the change, as well as establish a rate of change. Identifies target and future technology states. Establishes technology roadmaps to move successfully from current state architectures to future state architectures including budget planning for roadmap implementations as well as organizational changes need to support new system capabilities. Evaluates emerging technologies for applicability to the agency and determines organizational implementation strategies. Evaluates and review vendor proposals. Evaluate and review legislative proposals for agency technology impact and cost. Leads the implementation of technology governance within the agency and across the vendor community. Through cross-division leadership work, develops technology principles, standards, and policies. Leads agency architects in best practices for developing systems and implementing standards including standards and quality management for system documentation. Leads organization efforts, working with IT-wide technical leadership, to govern and enforce the agency standards in policies as they apply to solutions and systems for data protection, security controls, audit implications, and cost of implementation. Develops and implements processes for the governance of technology for the agency at the business level, IT division level, and with other agencies (DIR) and vendors. Leads the centers of excellence to identify guidelines and best practices for specific technologies, decision-making matrices, and identify needed policies. Represents the IT division and agency as a technology leader. Develops and leads technology specific communities of practice helping to develop skills and share information. Establishes best practices for IT and vendors in developing and deploying agency system and solutions; including leading the development of IT non-functional requirements for vendor developed systems. Represents the agency in cross agency initiatives within the state as well as with other health-related agencies at the local, state, and federal level. Presents thought leadership at both technology and health industry conferences. Knowledge, Skills and Abilities (KSAs) Knowledge of architecture frameworks Knowledge of NIST cybersecurity framework Knowledge of networking architectures and principles Knowledge of databases, including SQL and NoSQL data stores, e.g. Postgres. Knowledge of scripting, such as PowerShell, Python, or Perl Knowledge of cloud delivery models: PaaS, SaaS, IaaS. Knowledge of automation of CI/CD and DevOps environment. Knowledge of agile (scrum) methodology and scrum ceremonies. Knowledge of open-source technology, software development and systems engineering. Knowledge of cloud-based services for AWS, Microsoft Azure or GCP. Knowledge of OpenStack, Linux/UNIX, Rackspace, Docker, etc. Knowledge of declarative languages (e.g., yaml, json, etc.). Skill in architecting services, including APIs and Web Services. Skill in systems design, programming, implementation and integration of complex distributed IT solutions (e.g. cloud, distributed systems or high-performance computing experience). Skill in architecting modern web applications using one or more of the following: Node, Python, Java, Spring, Spring Boot, RDBMS. Skill in cloud-based AI services Ability to be adaptable and learn quickly. Ability to deliver work within defined schedules, cost and quality. Ability to coordinate multiple assignments, set priorities, and meet deadlines. Ability to communicate with a high level of effectiveness both verbally and in written formats. Ability to build consensus across disparate parts of the organization. Ability to adapt and learn quickly. Ability to lead and provide direction to team members. Ability to lead the creation of best practices and procedures. Registrations, Licensure Requirements or Certifications TOGAF Certification Initial Screening Criteria Required: Graduation from a college or university with a Bachelor of Administration (BA) or Bachelor of Science (BS) in Computer Science, Information Systems, Business, or a related field is required. Experience may be substituted on a year-for-year basis. 5+ years of IT experience within Global IT environments including cloud and third-party outsourced components. Preferred: 3+ years of experience architecting, engineering, supporting or developing enterprise IT solutions in hosted and cloud environment. 2+ years of experience as an Architect. Hands on experience and current skills in two or more areas: System Engineering, DevOps, Security, Networking, Application Development, Data Intelligence, Infrastructure Services, or Database. Experience with Agile, ITIL and TOGAF frameworks. Experience with at least three of the following domains: cloud, analytics, data management, infrastructure, access channels, security, applications, software engineering, networking, or systems integration preferred. Experience with wireless communications, network security, voice and data networking systems Additional Information Any employment offer is contingent upon available budgeted funds. The offered salary will be determined in accordance with budgetary limits and the requirements of HHSC Human Resources Manual. Selected candidates must be legally authorized to work in the U.S. without sponsorship. Selected candidate must be willing to commute to the office on the required days. Active Duty, Military, Reservists, Guardsmen, and Veterans Military occupation(s) that relate to the initial selection criteria and registration or licensure requirements for this position may include, but not limited tothose listed in this posting. All active duty military, reservists, guardsmen, and veterans are encouraged to apply if qualified to fill this position. For more information please see the Texas State Auditor's Job Descriptions, Military Crosswalk and Military Crosswalk Guide at Texas State Auditor's Office - Job Descriptions. ADA Accommodations In compliance with the Americans with Disabilities Act (ADA), HHSC and DSHS agencies will provide reasonable accommodation during the hiring and selection process for qualified individuals with a disability. If you need assistance completing the on line application, contact the HHS Employee Service Center at 1-. If you are contacted for an interview and need accommodation to participate in the interview process, please notify the person scheduling the interview. Pre Employment Checks and Work Eligibility Depending on the program area and position requirements, applicants selected for hire may be required to pass background and other due diligence checks. HHSC uses E-Verify. You must bring your I-9 documentation with you on your first day of work. Download the I-9 Form Telework Disclaimer This position may be eligible for telework. Please note, all HHS positions are subject to state and agency telework policies in addition to the discretion of the direct supervisor and business needs. Benefits of Working at HHS: explore more details on the Benefits of Working at HHS webpage.
