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Responsibilities: Hardware & Infrastructure (~70%)Install, configure, and maintain servers and rack-mounted switches, along with associated network infrastructure in our San Antonio office and lab environments. Establish and manage virtualization environments on IT-owned bare-metal hardware. Lead the layout, cable management, patch panel termination, and documentation of physical infrastructure. Assist with the installation, configuration, and monitoring of UPS and PDU systems. Configure and maintain network infrastructure including switches, access points, and security appliances. Oversee hardware procurement coordination, maintain both physical and digital asset inventories, and support engineering and delivery teams with hardware staging requirements. Provide assistance with edge and lab hardware as necessary, including mini PCs, single-board computers, and portable networking equipment. Support physical security infrastructure as needed, including access control and related CMMC-adjacent hardware considerations. IT Operations (~30%)Offer Tier 1 and Tier 2 helpdesk support, triaging and resolving tickets or escalating as necessary. Administer Mobile Device Management (MDM) solutions (e.g., Jamf) for device enrollment, policy enforcement, and compliance reporting. Assist with endpoint hardware management (primarily macOS), including imaging, configuration, deployment, and decommissioning. Facilitate user onboarding and offboarding processes.
About the job
U. S. citizenship is required for this position due to Defense Unicorns' work as a U. S. government contractor.
Role overview
This IT Engineer - Hardware role is based onsite in San Antonio, Texas. The position centers on managing and maintaining the physical IT infrastructure at the San Antonio office. Daily work includes hands-on tasks with servers, network switches, and lab equipment in a modern lab environment supporting defense projects.
Key responsibilities
Install, configure, and maintain servers and network switches
Oversee the physical setup and ongoing upkeep of lab infrastructure
Support daily IT operations, including resolving helpdesk tickets
Provide endpoint support for onsite users
Work closely with the IT Operations team on a range of IT projects
Who thrives in this role
Enjoys hands-on work in a lab environment
Has practical experience with physical IT infrastructure
Moves easily between hardware-focused tasks and general IT operations
Stays productive in both structured and changing situations
Work location
This is a fully onsite position in San Antonio, Texas. Physical presence in the office is required for all workdays.
About Defense Unicorns
At Defense Unicorns, we are dedicated to providing innovative solutions as a contractor for the U. S. government. Our focus is on developing cutting-edge technologies and services that enhance national security and defense capabilities. We pride ourselves on fostering a collaborative and inclusive work environment that encourages growth and creativity.
U.S. citizenship is required for this position due to Defense Unicorns' work as a U.S. government contractor. Role overview This IT Engineer - Hardware role is based onsite in San Antonio, Texas. The position centers on managing and maintaining the physical IT infrastructure at the San Antonio office. Daily work includes hands-on tasks with servers, network …
Join Esri as a Solution Engineer specializing in game engines, where you will play a pivotal role in revolutionizing how gaming technology integrates with geographic information systems. You will collaborate with cross-functional teams to develop innovative solutions that enhance user experiences and drive engagement.
Join our dynamic team at usm2 as a Quality Assurance Engineer specializing in software and systems engineering. In this mid-level role, you will be instrumental in ensuring the delivery of high-quality software products that meet our clients' needs. Your expertise will be vital in identifying defects, testing software applications, and collaborating with developers to resolve issues.
Join AECOM as the Municipal Traffic Engineering Lead in San Antonio, where you will play a pivotal role in advancing traffic engineering solutions. You will lead projects aimed at optimizing urban mobility, ensuring safety, and enhancing the overall infrastructure of the municipality. Your expertise will guide a team of talented engineers and collaborate with local agencies to implement innovative traffic management strategies.
Full-time|$150K/yr - $200K/yr|Remote|Remote, US; DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI
Location: Remote (U.S.); DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Eligibility: U.S. citizenship required. All work must be performed within the continental United States. Raft delivers AI, machine learning, and data-driven solutions to U.S. military and government clients. The team specializes in autonomous data fusion, Agentic AI, distributed data systems, and building scalable platforms. Headquartered in McLean, VA, Raft partners with federal and public sector organizations to create digital solutions that reach millions of Americans, using design thinking and cloud-native technology. Role overview The Lead Principal MLOps Engineer plays a key part in supporting clients and collaborating with a team focused on complex, high-impact challenges. This position centers on building and maintaining mission-critical AI and data platforms for the Department of Defense. What you will do Work on platforms that process large volumes of real-time data from diverse sensors and operational sources. Transform raw data into actionable intelligence, supporting operators with timely decisions through mission applications and operational dashboards. Support a large-scale platform that manages billions of events daily, using low-latency data pipelines and cloud-native infrastructure. Advance the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.
Speechify seeks a Software Engineer specializing in platform development to join the team in San Antonio, TX. The focus of this position is to build and improve software that enhances accessibility and delivers a better experience for a broad user base. Role overview This role involves designing and developing solutions for the Speechify platform. The work aims to support accessibility and usability for diverse users. What you will do Create and refine software for the Speechify platform Optimize code for scalability, efficiency, and user-friendliness Contribute to projects that make technology more accessible Requirements Experience working collaboratively within a team Strong problem-solving skills Interest in learning and professional growth as an engineer Dedication to delivering high-quality, reliable software
Join RESPEC as an Engineer-In-Training in our Land Development division, based in San Antonio, TX or Castroville, TX. This role is designed for a versatile professional in land development and public works, with a focus on site civil design, permitting processes, and project execution. Ideal candidates will possess strong expertise in stormwater management, hydrology, and hydraulics, though the role encompasses a broader range of land development practices.Please note: We do not accept unsolicited resumes from third-party recruiters.
Full-time|On-site|San Antonio, Texas, United States
About Grassroots CarbonGrassroots Carbon stands at the forefront of grasslands restoration and soil carbon sequestration, collaborating with landowners to implement and expand regenerative land management practices. These practices not only enhance soil health, but also promote biodiversity and improve water quality. They hold significant potential to mitigate climate change by sequestering substantial amounts of atmospheric CO2 in the soil. Grassroots Carbon proudly collaborates with ranchers across 1.6 million acres in 22 states, implementing methods that restore grasslands, enhance bird habitats, boost soil health, and encourage nature-based soil organic carbon drawdown through healthy soils. With a foundation built on scientific rigor, quality, and transparency, Grassroots Carbon has forged strong partnerships with organizations such as Audubon Conservation Ranching, Texas Agricultural Land Trust, Understand Ag, and Colorado State University's Soil Carbon Solutions Center, while generating high-quality soil carbon drawdown credits for leading corporations like Nestle, Microsoft, Shopify, Marathon Oil, H-E-B, Olipop, and Urban Villages, helping them offset their carbon impact and achieve sustainability goals.Grassroots Carbon is proud to be a portfolio company of Soilworks Natural Capital.The OpportunityWe are looking for a proactive AI/ML Ops Engineer to develop and sustain the data infrastructure that powers our carbon measurement, rancher tools, and innovative AI-native applications.This role will involve collaboration at the intersection of our Data Science and Product teams, transforming experimental models into production systems and building the connectors that facilitate real-time data flows across our platform. This position is vital to achieving our 2026 objectives: delivering AI-native ranch management tools, expanding our Measurement, Reporting, and Verification (MRV) capabilities, and enabling third-party hardware integrations that provide actionable intelligence directly to ranchers.We seek a candidate who thrives on constructing dependable infrastructure, possesses strong opinions about data quality, and can navigate autonomously in a fast-paced environment characterized by ambitious roadmaps and genuinely novel challenges.Key ResponsibilitiesData Pipeline InfrastructureDesign, construct, and sustain scalable ETL pipelines for soil carbon data, satellite imagery, weather data, and ranch management inputs.Transform data science team outputs into reliable, monitored production systems, ensuring the productionization of research models (including process-based and machine learning models).Develop and maintain data validation, monitoring, and alerting systems to identify issues before they affect downstream users.Oversee data quality and lineage across the platform, ensuring our carbon calculations adhere to the scientific rigor required by our protocols.
Role overview Wyetech LLC seeks a Platform Engineer for a hybrid role based in San Antonio, Texas. The position centers on designing and building platform solutions that align with the company’s technology objectives. Key responsibilities Collaborate with teams throughout the organization to enhance system architecture Develop APIs and ensure seamless integration with current services Support the rollout of platform solutions aimed at increasing efficiency and fostering innovation Collaboration Regular interaction with colleagues from various backgrounds is part of this role. Working closely with others is essential to deliver technology initiatives that support business priorities.
Employer is a contractor for the U.S. Government. This position will require U.S. Citizenship.Role Overview:We are looking for a skilled and experienced Platform Engineer to enhance our team in a hybrid working environment in San Antonio, Texas. The ideal candidate will possess strong expertise in Kubernetes and will be instrumental in both the development and maintenance of our platform. A solid understanding of system architecture, exceptional problem-solving skills, and the ability to mentor junior engineers are vital for this role.As a Platform Engineer, you will collaborate with a group of dedicated professionals who are committed to promoting freedom and independence on a global scale. Our teams engage with various technical baselines tailored to specific projects, focusing primarily on the Platform layer while also addressing IaC automation, security, and implementation needs.
Full-time|On-site|San Antonio, Texas, United States
Join Streamline Innovations as a Process Control Engineer, where you will leverage your expertise in chemical process systems and control theory to drive advanced process optimization and automation projects. The successful candidate will possess a robust theoretical background in traditional process modeling, prediction, and control, complemented by a proficiency in data-driven methodologies.This position serves as a vital link between classical process control engineering and the forefront of digital transformation, demanding both analytical prowess and creative application of control principles to intricate chemical systems.Key ResponsibilitiesDesign and implement optimized control strategies for both continuous and batch chemical processes.Develop dynamic process models, both first principles and empirical, to accurately simulate plant behaviors and assess control performance.Tune, maintain, and troubleshoot various control loops, including regulatory and advanced solutions such as PID, cascade, feedforward, and inferential.Collaborate closely with operations, R&D, and IT teams in the deployment of model predictive control (MPC), real-time optimization (RTO), and digital twin technologies.Assist in process hazard analysis (PHA), management of change (MOC), and the design of safety interlocks (SIS logic).Utilize statistical tools and control system data to analyze plant performance, identifying bottlenecks and opportunities for enhancement.Mentor junior engineers on control concepts and automation systems.
Part-time|$69/hr - $69/hr|Remote|Remote — San Antonio, Texas, United States
To apply, please submit your CV in English, along with your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, with contributors tasked to:Craft original computational engineering problems that replicate authentic engineering workflows;Design issues requiring Python programming to perform engineering calculations and simulations;Ensure the problems are computationally intensive, utilizing numerical methods or iterative solutions;Develop challenges focused on system design, optimization, and analysis;Base problems on actual research challenges or practical engineering applications;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable settings such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are projected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $69 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that other projects on the platform may offer varying pay scales based on specific requirements.
OverviewAs a recognized authority in geospatial technology and industry applications, you possess a talent for selecting the most effective analysis tools for diverse challenges. You not only design innovative solutions but also communicate their potential in ways that inspire enthusiasm for GIS technology. Join our dedicated account team to provide strategic advice to clients facing complex business issues. Utilize your analytical skills to illustrate the transformative value of GIS, revealing unique patterns and insights that drive success.At Esri, our commitment to customer success fosters an environment where creativity, collaboration, and passion thrive. Here, you will have the opportunity to perform at your best while partnering with our clients.
Role overview The iOS Core Product Software Engineer at Speechify will focus on building and improving features for the company’s text-to-speech platform. Based in San Antonio, TX, this position centers on making it easier for users to access and consume content using Speechify’s iOS applications. Enhancing the user experience is a key part of the work. What you will do Develop and refine features for Speechify’s core iOS product Collaborate with engineers and designers to deliver smooth, engaging app experiences Offer ideas and solutions to help users interact with text-to-speech technology more effectively
Join MetroStar Systems as a Senior Unified Communications Engineer III, where your expertise will shape the future of communication technologies. In this pivotal role, you will be responsible for designing, implementing, and maintaining advanced communication solutions that enhance collaboration and productivity across our organization.We are looking for a seasoned professional who excels in a fast-paced environment and possesses a deep understanding of unified communications systems. Your ability to troubleshoot complex issues and provide innovative solutions will be key to our success.
Join AECOM as a Senior Transportation Planning Engineer/Project Manager where you will lead impactful transportation projects and play a key role in shaping the future of urban mobility. This is your opportunity to utilize your expertise in transportation planning and project management to deliver innovative solutions that enhance infrastructure and community connectivity.
Position Summary: The Data Integration Engineer will take the lead in designing, constructing, and maintaining robust data pipelines and warehouse models that drive insightful analytics and operational reporting. You will seamlessly integrate various data sources—including databases, APIs, SaaS applications, and flat files—and develop efficient ELT/ETL processes in a cloud environment. Collaboration with analytics teams, application developers, and business stakeholders will be key as you transform requirements into reliable, production-ready datasets. Duties/Responsibilities: Data Pipeline Development Create and implement scalable ETL/ELT pipelines (both batch and near-real-time) to source data from databases, APIs, SaaS, and flat files into platforms like Snowflake and Azure Synapse. Utilize integration tools such as Azure Data Factory (ADF), Fivetran, CData Sync, and Boomi, enhancing capabilities with custom code as necessary. Produce clean, maintainable code primarily in SQL, with Python or PHP utilized as needed for custom connectors, transformations, or microservices. Enhance workflows for optimal performance, reliability, and scalability through effective partitioning, parallel processing, incremental loads, CDC, idempotency, and robust retry/rollback strategies. Oversee data warehouse platforms, including Azure Synapse and Snowflake, ensuring their smooth operation. Identify and resolve data pipeline failures and errors promptly. Data Warehouse Management Develop and sustain data models, schemas, views, and stored procedures; proficiently manage staging, core, and mart layers along with source-to-target mappings. Enforce data quality validation and monitoring practices (e.g., null/duplicate/range checks, schema drift detection, reconciliation). Address and troubleshoot identified errors with efficiency. Adopt and apply best practices in data warehousing (e.g., clustering, partitioning, cost governance, role-based access, tagging/lineage). SQL & Python Support Execute complex SQL queries, refactor existing queries (using window functions, CTE chains), and optimize performance through explain plans, pruning, and join strategies. Create and troubleshoot Python notebooks, ensuring seamless integration into pipelines, including aspects like packaging, scheduling, and secret management. Collaboration & Documentation Work closely with data analysts and stakeholders to clarify requirements and acceptance criteria, translating them into detailed technical designs. Maintain technical specifications, data flow diagrams, and operational procedures; contribute to documentation standards and reusable patterns.
Full-time|$150K/yr - $200K/yr|Remote|Remote, US; DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI
Raft is seeking a Principal MLOps Engineer to help build and scale advanced AI and data platforms for the Department of Defense. This position plays a key role in transforming large volumes of real-time sensor and operational data into actionable intelligence, supporting critical decision-making for operators through mission applications and operational displays. What you will do Advance mission-critical AI and data platforms that process billions of daily events with low-latency pipelines and cloud-native architecture. Support the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management. Ensure the platform operates effectively across both cloud infrastructure and resource-constrained environments. Location This role is open to remote work within the United States as well as in DMV, McLean, VA, Boston, MA, San Antonio, TX, Colorado Springs, CO, Tampa, FL, and Honolulu, HI. Eligibility U.S. citizenship is required. All work must be performed within the continental United States.
Part-time|$69/hr - $69/hr|Remote|Remote — San Antonio, Texas, United States
We invite you to submit your CV in English, indicating your proficiency level.At Mindrift, we bridge the gap between skilled professionals and innovative AI projects for top-tier technology firms, concentrating on the assessment, testing, and enhancement of AI systems. Note that this is a project-based opportunity rather than a permanent position.Opportunity OverviewEach project will present distinctive challenges, and contributors may:Design original computational engineering tasks that replicate authentic engineering workflows;Create programming challenges that utilize Python for engineering calculations and simulations;Ensure tasks are computationally demanding, requiring numerical methods or iterative solutions;Develop problems related to system design, optimization, and analysis;Base challenges on genuine research issues or practical applications from the engineering domain;Validate solutions using Python with established engineering libraries;Provide clear documentation of problem statements along with verified correct answers.Ideal Candidate ProfileThis position is well-suited for engineers with Python expertise seeking part-time, non-permanent project engagements. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project demands. This estimate does not guarantee a specific workload and applies only while the project is active.CompensationContributors may earn up to $69 per hour, depending on their skill level and contribution pace. Compensation varies based on project scope, complexity, and required expertise. Other projects on the platform may feature different earning opportunities depending on their specific requirements.
Join Mission Controls & Automation, a proud member of the SunSource family, where we provide comprehensive motor control and electrical solutions tailored to the industrial, manufacturing, construction, pharmaceutical, and energy sectors. Our extensive global supplier network empowers us to deliver complete solutions that adhere to tight deadlines. www.mission-controls.com We are seeking a proactive and dedicated Automation Engineer who can take charge of automation projects from inception to completion, ensuring customer satisfaction. Collaborating with our sales department and clients, you will develop innovative automation systems ranging from basic OEM equipment control to advanced SCADA system design.As part of our team, you will benefit from the expertise of seasoned integrators with extensive knowledge and a proven track record in designing, programming, and launching automation projects across the United States.
U.S. citizenship is required for this position due to Defense Unicorns' work as a U.S. government contractor. Role overview This IT Engineer - Hardware role is based onsite in San Antonio, Texas. The position centers on managing and maintaining the physical IT infrastructure at the San Antonio office. Daily work includes hands-on tasks with servers, network …
Join Esri as a Solution Engineer specializing in game engines, where you will play a pivotal role in revolutionizing how gaming technology integrates with geographic information systems. You will collaborate with cross-functional teams to develop innovative solutions that enhance user experiences and drive engagement.
Join our dynamic team at usm2 as a Quality Assurance Engineer specializing in software and systems engineering. In this mid-level role, you will be instrumental in ensuring the delivery of high-quality software products that meet our clients' needs. Your expertise will be vital in identifying defects, testing software applications, and collaborating with developers to resolve issues.
Join AECOM as the Municipal Traffic Engineering Lead in San Antonio, where you will play a pivotal role in advancing traffic engineering solutions. You will lead projects aimed at optimizing urban mobility, ensuring safety, and enhancing the overall infrastructure of the municipality. Your expertise will guide a team of talented engineers and collaborate with local agencies to implement innovative traffic management strategies.
Full-time|$150K/yr - $200K/yr|Remote|Remote, US; DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI
Location: Remote (U.S.); DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Eligibility: U.S. citizenship required. All work must be performed within the continental United States. Raft delivers AI, machine learning, and data-driven solutions to U.S. military and government clients. The team specializes in autonomous data fusion, Agentic AI, distributed data systems, and building scalable platforms. Headquartered in McLean, VA, Raft partners with federal and public sector organizations to create digital solutions that reach millions of Americans, using design thinking and cloud-native technology. Role overview The Lead Principal MLOps Engineer plays a key part in supporting clients and collaborating with a team focused on complex, high-impact challenges. This position centers on building and maintaining mission-critical AI and data platforms for the Department of Defense. What you will do Work on platforms that process large volumes of real-time data from diverse sensors and operational sources. Transform raw data into actionable intelligence, supporting operators with timely decisions through mission applications and operational dashboards. Support a large-scale platform that manages billions of events daily, using low-latency data pipelines and cloud-native infrastructure. Advance the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.
Speechify seeks a Software Engineer specializing in platform development to join the team in San Antonio, TX. The focus of this position is to build and improve software that enhances accessibility and delivers a better experience for a broad user base. Role overview This role involves designing and developing solutions for the Speechify platform. The work aims to support accessibility and usability for diverse users. What you will do Create and refine software for the Speechify platform Optimize code for scalability, efficiency, and user-friendliness Contribute to projects that make technology more accessible Requirements Experience working collaboratively within a team Strong problem-solving skills Interest in learning and professional growth as an engineer Dedication to delivering high-quality, reliable software
Join RESPEC as an Engineer-In-Training in our Land Development division, based in San Antonio, TX or Castroville, TX. This role is designed for a versatile professional in land development and public works, with a focus on site civil design, permitting processes, and project execution. Ideal candidates will possess strong expertise in stormwater management, hydrology, and hydraulics, though the role encompasses a broader range of land development practices.Please note: We do not accept unsolicited resumes from third-party recruiters.
Full-time|On-site|San Antonio, Texas, United States
About Grassroots CarbonGrassroots Carbon stands at the forefront of grasslands restoration and soil carbon sequestration, collaborating with landowners to implement and expand regenerative land management practices. These practices not only enhance soil health, but also promote biodiversity and improve water quality. They hold significant potential to mitigate climate change by sequestering substantial amounts of atmospheric CO2 in the soil. Grassroots Carbon proudly collaborates with ranchers across 1.6 million acres in 22 states, implementing methods that restore grasslands, enhance bird habitats, boost soil health, and encourage nature-based soil organic carbon drawdown through healthy soils. With a foundation built on scientific rigor, quality, and transparency, Grassroots Carbon has forged strong partnerships with organizations such as Audubon Conservation Ranching, Texas Agricultural Land Trust, Understand Ag, and Colorado State University's Soil Carbon Solutions Center, while generating high-quality soil carbon drawdown credits for leading corporations like Nestle, Microsoft, Shopify, Marathon Oil, H-E-B, Olipop, and Urban Villages, helping them offset their carbon impact and achieve sustainability goals.Grassroots Carbon is proud to be a portfolio company of Soilworks Natural Capital.The OpportunityWe are looking for a proactive AI/ML Ops Engineer to develop and sustain the data infrastructure that powers our carbon measurement, rancher tools, and innovative AI-native applications.This role will involve collaboration at the intersection of our Data Science and Product teams, transforming experimental models into production systems and building the connectors that facilitate real-time data flows across our platform. This position is vital to achieving our 2026 objectives: delivering AI-native ranch management tools, expanding our Measurement, Reporting, and Verification (MRV) capabilities, and enabling third-party hardware integrations that provide actionable intelligence directly to ranchers.We seek a candidate who thrives on constructing dependable infrastructure, possesses strong opinions about data quality, and can navigate autonomously in a fast-paced environment characterized by ambitious roadmaps and genuinely novel challenges.Key ResponsibilitiesData Pipeline InfrastructureDesign, construct, and sustain scalable ETL pipelines for soil carbon data, satellite imagery, weather data, and ranch management inputs.Transform data science team outputs into reliable, monitored production systems, ensuring the productionization of research models (including process-based and machine learning models).Develop and maintain data validation, monitoring, and alerting systems to identify issues before they affect downstream users.Oversee data quality and lineage across the platform, ensuring our carbon calculations adhere to the scientific rigor required by our protocols.
Role overview Wyetech LLC seeks a Platform Engineer for a hybrid role based in San Antonio, Texas. The position centers on designing and building platform solutions that align with the company’s technology objectives. Key responsibilities Collaborate with teams throughout the organization to enhance system architecture Develop APIs and ensure seamless integration with current services Support the rollout of platform solutions aimed at increasing efficiency and fostering innovation Collaboration Regular interaction with colleagues from various backgrounds is part of this role. Working closely with others is essential to deliver technology initiatives that support business priorities.
Employer is a contractor for the U.S. Government. This position will require U.S. Citizenship.Role Overview:We are looking for a skilled and experienced Platform Engineer to enhance our team in a hybrid working environment in San Antonio, Texas. The ideal candidate will possess strong expertise in Kubernetes and will be instrumental in both the development and maintenance of our platform. A solid understanding of system architecture, exceptional problem-solving skills, and the ability to mentor junior engineers are vital for this role.As a Platform Engineer, you will collaborate with a group of dedicated professionals who are committed to promoting freedom and independence on a global scale. Our teams engage with various technical baselines tailored to specific projects, focusing primarily on the Platform layer while also addressing IaC automation, security, and implementation needs.
Full-time|On-site|San Antonio, Texas, United States
Join Streamline Innovations as a Process Control Engineer, where you will leverage your expertise in chemical process systems and control theory to drive advanced process optimization and automation projects. The successful candidate will possess a robust theoretical background in traditional process modeling, prediction, and control, complemented by a proficiency in data-driven methodologies.This position serves as a vital link between classical process control engineering and the forefront of digital transformation, demanding both analytical prowess and creative application of control principles to intricate chemical systems.Key ResponsibilitiesDesign and implement optimized control strategies for both continuous and batch chemical processes.Develop dynamic process models, both first principles and empirical, to accurately simulate plant behaviors and assess control performance.Tune, maintain, and troubleshoot various control loops, including regulatory and advanced solutions such as PID, cascade, feedforward, and inferential.Collaborate closely with operations, R&D, and IT teams in the deployment of model predictive control (MPC), real-time optimization (RTO), and digital twin technologies.Assist in process hazard analysis (PHA), management of change (MOC), and the design of safety interlocks (SIS logic).Utilize statistical tools and control system data to analyze plant performance, identifying bottlenecks and opportunities for enhancement.Mentor junior engineers on control concepts and automation systems.
Part-time|$69/hr - $69/hr|Remote|Remote — San Antonio, Texas, United States
To apply, please submit your CV in English, along with your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, with contributors tasked to:Craft original computational engineering problems that replicate authentic engineering workflows;Design issues requiring Python programming to perform engineering calculations and simulations;Ensure the problems are computationally intensive, utilizing numerical methods or iterative solutions;Develop challenges focused on system design, optimization, and analysis;Base problems on actual research challenges or practical engineering applications;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable settings such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are projected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $69 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that other projects on the platform may offer varying pay scales based on specific requirements.
OverviewAs a recognized authority in geospatial technology and industry applications, you possess a talent for selecting the most effective analysis tools for diverse challenges. You not only design innovative solutions but also communicate their potential in ways that inspire enthusiasm for GIS technology. Join our dedicated account team to provide strategic advice to clients facing complex business issues. Utilize your analytical skills to illustrate the transformative value of GIS, revealing unique patterns and insights that drive success.At Esri, our commitment to customer success fosters an environment where creativity, collaboration, and passion thrive. Here, you will have the opportunity to perform at your best while partnering with our clients.
Role overview The iOS Core Product Software Engineer at Speechify will focus on building and improving features for the company’s text-to-speech platform. Based in San Antonio, TX, this position centers on making it easier for users to access and consume content using Speechify’s iOS applications. Enhancing the user experience is a key part of the work. What you will do Develop and refine features for Speechify’s core iOS product Collaborate with engineers and designers to deliver smooth, engaging app experiences Offer ideas and solutions to help users interact with text-to-speech technology more effectively
Join MetroStar Systems as a Senior Unified Communications Engineer III, where your expertise will shape the future of communication technologies. In this pivotal role, you will be responsible for designing, implementing, and maintaining advanced communication solutions that enhance collaboration and productivity across our organization.We are looking for a seasoned professional who excels in a fast-paced environment and possesses a deep understanding of unified communications systems. Your ability to troubleshoot complex issues and provide innovative solutions will be key to our success.
Join AECOM as a Senior Transportation Planning Engineer/Project Manager where you will lead impactful transportation projects and play a key role in shaping the future of urban mobility. This is your opportunity to utilize your expertise in transportation planning and project management to deliver innovative solutions that enhance infrastructure and community connectivity.
Position Summary: The Data Integration Engineer will take the lead in designing, constructing, and maintaining robust data pipelines and warehouse models that drive insightful analytics and operational reporting. You will seamlessly integrate various data sources—including databases, APIs, SaaS applications, and flat files—and develop efficient ELT/ETL processes in a cloud environment. Collaboration with analytics teams, application developers, and business stakeholders will be key as you transform requirements into reliable, production-ready datasets. Duties/Responsibilities: Data Pipeline Development Create and implement scalable ETL/ELT pipelines (both batch and near-real-time) to source data from databases, APIs, SaaS, and flat files into platforms like Snowflake and Azure Synapse. Utilize integration tools such as Azure Data Factory (ADF), Fivetran, CData Sync, and Boomi, enhancing capabilities with custom code as necessary. Produce clean, maintainable code primarily in SQL, with Python or PHP utilized as needed for custom connectors, transformations, or microservices. Enhance workflows for optimal performance, reliability, and scalability through effective partitioning, parallel processing, incremental loads, CDC, idempotency, and robust retry/rollback strategies. Oversee data warehouse platforms, including Azure Synapse and Snowflake, ensuring their smooth operation. Identify and resolve data pipeline failures and errors promptly. Data Warehouse Management Develop and sustain data models, schemas, views, and stored procedures; proficiently manage staging, core, and mart layers along with source-to-target mappings. Enforce data quality validation and monitoring practices (e.g., null/duplicate/range checks, schema drift detection, reconciliation). Address and troubleshoot identified errors with efficiency. Adopt and apply best practices in data warehousing (e.g., clustering, partitioning, cost governance, role-based access, tagging/lineage). SQL & Python Support Execute complex SQL queries, refactor existing queries (using window functions, CTE chains), and optimize performance through explain plans, pruning, and join strategies. Create and troubleshoot Python notebooks, ensuring seamless integration into pipelines, including aspects like packaging, scheduling, and secret management. Collaboration & Documentation Work closely with data analysts and stakeholders to clarify requirements and acceptance criteria, translating them into detailed technical designs. Maintain technical specifications, data flow diagrams, and operational procedures; contribute to documentation standards and reusable patterns.
Full-time|$150K/yr - $200K/yr|Remote|Remote, US; DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI
Raft is seeking a Principal MLOps Engineer to help build and scale advanced AI and data platforms for the Department of Defense. This position plays a key role in transforming large volumes of real-time sensor and operational data into actionable intelligence, supporting critical decision-making for operators through mission applications and operational displays. What you will do Advance mission-critical AI and data platforms that process billions of daily events with low-latency pipelines and cloud-native architecture. Support the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management. Ensure the platform operates effectively across both cloud infrastructure and resource-constrained environments. Location This role is open to remote work within the United States as well as in DMV, McLean, VA, Boston, MA, San Antonio, TX, Colorado Springs, CO, Tampa, FL, and Honolulu, HI. Eligibility U.S. citizenship is required. All work must be performed within the continental United States.
Part-time|$69/hr - $69/hr|Remote|Remote — San Antonio, Texas, United States
We invite you to submit your CV in English, indicating your proficiency level.At Mindrift, we bridge the gap between skilled professionals and innovative AI projects for top-tier technology firms, concentrating on the assessment, testing, and enhancement of AI systems. Note that this is a project-based opportunity rather than a permanent position.Opportunity OverviewEach project will present distinctive challenges, and contributors may:Design original computational engineering tasks that replicate authentic engineering workflows;Create programming challenges that utilize Python for engineering calculations and simulations;Ensure tasks are computationally demanding, requiring numerical methods or iterative solutions;Develop problems related to system design, optimization, and analysis;Base challenges on genuine research issues or practical applications from the engineering domain;Validate solutions using Python with established engineering libraries;Provide clear documentation of problem statements along with verified correct answers.Ideal Candidate ProfileThis position is well-suited for engineers with Python expertise seeking part-time, non-permanent project engagements. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project demands. This estimate does not guarantee a specific workload and applies only while the project is active.CompensationContributors may earn up to $69 per hour, depending on their skill level and contribution pace. Compensation varies based on project scope, complexity, and required expertise. Other projects on the platform may feature different earning opportunities depending on their specific requirements.
Join Mission Controls & Automation, a proud member of the SunSource family, where we provide comprehensive motor control and electrical solutions tailored to the industrial, manufacturing, construction, pharmaceutical, and energy sectors. Our extensive global supplier network empowers us to deliver complete solutions that adhere to tight deadlines. www.mission-controls.com We are seeking a proactive and dedicated Automation Engineer who can take charge of automation projects from inception to completion, ensuring customer satisfaction. Collaborating with our sales department and clients, you will develop innovative automation systems ranging from basic OEM equipment control to advanced SCADA system design.As part of our team, you will benefit from the expertise of seasoned integrators with extensive knowledge and a proven track record in designing, programming, and launching automation projects across the United States.
