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Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What You'll Do: Design, develop, test, and implement technical solutions that support business objectives. Write, maintain, and enhance code to deliver new features, system improvements, and ongoing product enhancements. Troubleshoot, and resolve technical issues and production incidents to ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. Basic Understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to analyze logs, traces, metrics, and application performance data to identify service degradation and outage conditions. Familiarity with Kubernetes, OpenShift, Docker containers, and microservice-based applications. Understanding of API-driven architectures and integration technologies. Experience with ServiceNow, Jira, Confluence, or similar operational platforms. Understanding of Incident, Problem, Change, Event, and Knowledge Management processes. What Sets You Apart: 2+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. Experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Strong analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Working knowledge of observability, automation, service resiliency, SRE principles, and operational process improvement. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $ 77,120.00 - $ 147,390.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Ground Station Operations Engineer Houston, TX About Intuitive Machines Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety. About The Role Intuitive Machines is seeking multiple Ground Station Operations Engineers to join our team. This role can be filled at experience levels from early- to mid-career. These positions will support ongoing operations, along with development and testing of a commercial Telemetry, Tracking and Control (TT&C) network of ground stations. The applicant(s) will be located on-site at Intuitive Machines' Houston, TX location, and will operate in a cross-functional team on the design, development, test, and operation of ground station hardware, including associated software. Responsibilities: Support advancement and real-time operations of IM's global ground station network Assist in development and execution of test plans for ground station hardware, encompassing: Base Band Units (BBUs), AWS cloud infrastructure, RF systems, mission control center systems, and other critical ground elements Develop real-time operations products, including procedures, asset schedules, troubleshooting documentation and Interface Control Documents (ICDs) Support (and potentially lead) technical and programmatic meetings, including working groups, Integrated Product Teams (IPTs), etc. Serve as a real-time operator, eventually leading a small team of subsystem experts Work with internal and external stakeholders to integrate ground software and network automation Participate in Integration & Verification activities Develop and enforce Mission Rules to ensure vehicle/system health and mission objectives The candidate will be encouraged to take on as much responsibility as practical and will be expected to play a role in the entire cradle-to-grave development process, including requirements development, conceptualization, supplier relationships, procurement, procedure development, and on-console mission operations support. Qualifications: B.S. degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Electrical Engineering, or related discipline Minimum of 5 years of experience in ground station development/testing, real-time mission operations or related discipline; or M.S. degree in Aerospace Engineering or related discipline and a minimum of 2 years of experience Proficiency in conducting ground station testing and operations Familiarity with test equipment such as network analyzers, oscilloscopes, modems, etc. Conducting benchtop testing of RF, analog and digital signals Knowledge of ground station hardware, including HPAs, LNAs, circulators, diplexers, etc. Experience making time-sensitive decisions in high-pressure, high-risk environments Preflight training and development of integrated procedures and mission rules Demonstrated cross-discipline support Experience with Microsoft Office suite and other collaboration tools (e.g., Atlassian Confluence, Jira, etc.) Preferred Skills: Familiarity with ground station design and operations, including hardware, software, communications (RF) Experience with spacecraft and associated systems, e.g., flight control, flight dynamics, orbital mechanics, power systems, avionics, ground support systems (command, telemetry) Real-time spacecraft/satellite operations, preferably spanning multiple disciplines or functions Fundamental grasp of networking principles and protocols (TCP/IP, DHCP, UDP, routing) Proficiency in operational leadership and risk management Experience with international partners US EEO Statement Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.

Job Description Job Description Manufacturing Planning Systems Specialist - Bilingual Chelmsford, Massachusetts, United States On-site Contract / C2C 40 hours per week About the Opportunity MaxIT Consulting is seeking a bilingual SAP PP professional to support manufacturing users and daily production operations at a client location in Chelmsford, Massachusetts. This is primarily a functional support, troubleshooting, and user-training position-not a greenfield implementation role. The selected professional will work closely with production planners, supervisors, shop-floor personnel, warehouse teams, and business stakeholders to resolve operational issues and ensure continuity across manufacturing activities. Candidates from SAP consulting, production-support, key-user, super-user, or experienced business-user backgrounds may be considered when they demonstrate strong hands-on SAP PP knowledge and the ability to independently support and train users in Spanish and English. Key Responsibilities Provide day-to-day functional support for SAP Production Planning processes. Assist users with production orders, planned orders, MRP results, confirmations, material availability, capacity-related issues, and manufacturing master data. Investigate incidents and determine whether they relate to configuration, master data, interfaces, transactional execution, or user procedures. Support production planners, supervisors, shop-floor personnel, and manufacturing stakeholders. Explain SAP processes clearly and deliver practical user training in Spanish and English. Maintain process documentation, work instructions, troubleshooting guides, and training materials. Coordinate with SAP MM, IM, and WM support resources when issues cross functional boundaries. Monitor or help troubleshoot basic IDoc, EDI, and transaction-flow issues affecting production operations. Support testing, production stabilization, incident resolution, and continuous process improvement. Participate in rotational-shift coverage according to the structure explained during the interview process. Required Qualifications Professional working proficiency in both Spanish and English. Ability to support and train Spanish-speaking users in a manufacturing environment. Strong hands-on knowledge of SAP PP and production-planning processes. Experience with production orders, MRP, manufacturing master data, confirmations, and production execution. Ability to troubleshoot functional incidents and guide users through practical resolutions. Experience working with manufacturing, plant, or shop-floor stakeholders. Availability to work on-site in Chelmsford five days per week. Availability for 40 hours per week and rotational shifts. Legal ability to work in the United States under a structure compatible with a C2C engagement. Preferred Qualifications Approximately five or more years of SAP or manufacturing-operations experience. Exposure to SAP MM, IM, or WM integration. Working knowledge of IDocs, EDI, interfaces, and failed transaction monitoring. Experience with SAP S/4HANA. SAP certification or formal functional training. Experience in production support, hypercare, AMS, or high-volume manufacturing environments. Important Information Applicants do not need to be experts in every SAP logistics module. For this position, strong SAP PP functional capability is the primary requirement. Cross-functional experience is valuable but not mandatory. Candidates outside Massachusetts may be considered if they can relocate and be available for full on-site attendance before the agreed start date. The exact rotational-shift schedule and coverage expectations will be explained during the interview process. Employer or client sponsorship is not available for this engagement. MaxIT Consulting is an equal opportunity organization. We evaluate qualified candidates without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected characteristic.

Job Description Job Description Under minimal supervision, conducts preventive maintenance, repair, installation, commissioning and general servicing of systems. Performs point to point check out to verify that controls systems have been installed properly. Completes assigned system commissioning and performs device verification. Troubleshoots and resolves HVAC mechanical, electrical, and controls problems. Properly completes required project documentation. Responsible for high levels of customer satisfaction through direct, on site, customer interface. Properly completes required project and service documentation. A key member of the Albireo team, the System Specialist will be responsible for providing the execution for HVAC Building Automation projects, to include: Performs start up, checking, testing, system diagnostics and commissioning from system-level controllers to end devices for small to medium sized new or retrofit projects. Performs preventative and predictive maintenance service activities to ensure optimal performance of system. Ability to troubleshoot, diagnose and repair and/or replace control components and controls systems. Also, the ability to troubleshoot mechanical, HVAC and electrical issues related to the BAS Control system operation. Understanding complex control systems including diagnosing and troubleshooting networking and integration. Ability to write, create, load, test and commission programming software and graphics utilizing various programming languages and software. Performs and executes assigned work efficiently and professionally. Communicates with customer upon arrival and before leaving the work site. Meets regularly with customer to become familiar with operating problems. Keeps customer informed on the nature of service provided, outstanding issues and recommends system enhancements, upgrades, and or replacement. Promotes the sale of add-on work. Trains the customer in control systems operations including obtaining customer training form, providing training certificates. Completes, compiles and submits job documentation such as commissioning documentation, punch lists, etc. Marks up controls submittals to capture field changes and discrepancies for engineering to create As-Builts. Interfaces with service manager, service project manager or subcontractors on projects to coordinate activities as required in an ethical and professional manner. Reports problems or changes to management immediately. Assists sales by providing technical recommendations for sales leads and proposals for retrofits, upgrades and or enhancements to existing equipment. May assist with job layout. Conducts extensive self-study (reading, research and practice) to improve and maintain technical proficiency in company's product lines. Completes certifications as required by the company. Ability to load and update software on network controllers, field controllers, computers and servers. Completes and submits timely electronic documentation including but not limited to time sheets, expense reports, and on-site documentation. Requirements Requires extensive knowledge of a variety of electronic or digital controls systems. Vocational School four-year program graduate or an Associate's degree in electronics, mechanical systems, computer technology, air conditioning or similar field. Degree may be offset by two years of experience in servicing electronic and or mechanical systems. Three to five years of increasingly responsible experience in servicing electronic controls and HVAC equipment. Ability to coordinate the work of others on multiple job sites. Effective interpersonal skills to represent the company to customers and other outside contacts in an ethical and professional manner. Must have experience in writing as well as demonstrated understanding of computer programs and software applications as related to the HVAC Industry. Valid Driver's license with a clean record. Pay Rate: $40-$50/hr. DOE. Benefits Medical Insurance Dental Insurance Vision Insurance Basic Life Insurance Voluntary Life Insurance Short Term & Long Term Disability Paid Vacation Paid Sick Time Paid Holidays 401K with Company match Pre-Employment Requirements: All offers of employment are contingent upon successful completion of applicable pre-employment screenings, which may include a background check and drug screening, conducted in accordance with applicable federal, state, and local laws. Positions where driving is an essential function will also require a satisfactory Motor Vehicle Record (MVR). Work Authorization: Candidates must be authorized to work in the United States. Agency Submissions: Albireo Energy does not accept unsolicited candidate submissions from third-party recruiting agencies. Candidate ownership will only be recognized when submitted under an active, authorized agreement and through our official Applicant Tracking System. Submissions received without a prior agreement will be considered the property of Albireo Energy. Albireo Energy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Partner directly with cybersecurity engineering and DevSecOps prototyping teams to integrate security controls early in the development lifecycle. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 3-5+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $150,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Job Description Job Description 4. Scope of Servies The Florida Department of Transportation, Office of Information Technology (OIT) - Integration Services is in search of a Senior Network Engineer to play a key role in assisting the Office of Information Technology in the establishment of new integration methods and standards, along with implementing system integrations, according to those established methods and standards. Duties and Responsibilities will include but are not limited to: 1. Perform security administration to configure and document firewall infrastructure access rules and work with peripheral network components in the technology environment with Palo Alto, Checkpoint and Global Protect VPNs. 2. Firewall deployments, rule migrations, firewall administration and converting existing rule based policies onto new platforms. 3. Works with critical core network infrastructure devices like Next Gen Firewall, VPNs, log collectors and monitors which play a crucial role in security for our IT environment. 4. Works with cloud network infrastructure to configure firewall, security policies and monitor network traffic. 5. Develop and maintain documentation following NIST guidelines. 6. Project Manager; 7. Data Administration; 5 Education Bachelor's Degree in Computer Science, Information Systems or other related field. Or equivalent work experience. Preferred Certifications (PCNSE, CISSP, CCNP, CCIE) 6. Experience 1. Typically have 5 to 10 years of combined IT and security work experience with a broad range of exposure to systems analysis, applications development, database design and administration 2. Three to five years of experience with information security tools based on NIST standards. 3. Requires knowledge of security issues, techniques, and implications across all existing computer platforms. Preference given for experience with NGFW Palo Alto or Checkpoint security products. 4. Experience using schematic diagramming tools to map infrastructure layouts. 7 Primary Job Duties/ Tasks Senior Network Engineer - Job Duties 1. Develops, implements, and manages enterprise security solutions across multiple IT functional areas, including network infrastructure, data, systems, cloud environments, telecommunications, and Web-based services. Designs and maintains secure network architectures, segmentation strategies, access controls, firewalls, VPNs, encryption technologies, and other security controls. 2. Develops, implements, and maintains enterprise security policies, standards, procedures, and technical controls governing user authentication, privileged access, network access, security monitoring, vulnerability management, firewall administration, encryption, remote access, and incident escalation. Ensures security practices align with organizational requirements, industry standards, and applicable regulatory requirements. 3. Performs security risk assessments and develops risk-based response strategies for enterprise network and infrastructure environments. Prepares executive-level status reports, risk assessments, security metrics, and recommendations addressing vulnerabilities, emerging threats, security incidents, and operational risks. 4. Monitors, analyzes, and responds to cybersecurity threats and security events, including malware, software vulnerabilities, unauthorized access attempts, network anomalies, and policy violations. Administers and monitors security profiles and access controls, reviews security alerts and violation reports, investigates security exceptions, and coordinates remediation activities. Maintains comprehensive documentation of security controls, configurations, incidents, and corrective actions. 5. Evaluates emerging network and security technologies, products, and procedures to improve infrastructure reliability, security, performance, and operational efficiency. Leads technical evaluations, proof-of-concept activities, product assessments, and implementation recommendations for enterprise networking and cybersecurity solutions. 6. Provides advanced technical support and consultation to business and IT stakeholders on complex network, infrastructure, and cybersecurity issues. Troubleshoots escalated network and security incidents, provides technical guidance to infrastructure teams, and educates IT and business personnel on security policies, secure configurations, access requirements, and risk mitigation practices. 7. Provides security expertise and technical leadership throughout the IT project lifecycle, including requirements development, architecture and design, implementation, testing, deployment, and operational support. Reviews project designs and proposed solutions to identify security risks and ensures appropriate security controls are incorporated into network, cloud, application, and infrastructure initiatives. 8. Designs, implements, and supports enterprise network infrastructure, including LAN/WAN, routing and switching, wireless networks, firewalls, VPNs, network segmentation, Internet connectivity, cloud connectivity, and data center infrastructure. Develops network solutions that support high availability, resiliency, scalability, and security requirements. 9. Leads the investigation and resolution of complex network and security incidents, utilizing network monitoring, logging, packet analysis, performance data, and security tools to identify root causes and implement corrective actions. Coordinates with vendors, technical teams, and organizational stakeholders during critical incidents and service disruptions. 10. Develops network security architecture and segmentation strategies designed to limit lateral movement, protect critical systems, isolate sensitive workloads, and establish appropriate security boundaries between users, applications, devices, and infrastructure. Evaluates east-west and north-south traffic flows to identify security risks and opportunities for improved network controls. 11. Establishes and monitors network performance and security metrics to identify trends, capacity requirements, vulnerabilities, and potential operational risks. Develops dashboards, key performance indicators, and management reports to support data-driven infrastructure and security decisions. 12. Maintains technical documentation and configuration standards for network and security infrastructure, including network diagrams, IP addressing, VLANs, firewall rules, access controls, security configurations, operational procedures, and disaster recovery requirements. Ensures documentation remains accurate and aligned with the current enterprise environment. 13. Collaborates with architecture, cybersecurity, systems, database, application, cloud, telecommunications, and infrastructure teams to develop integrated technology solutions. Serves as a senior technical resource and provides guidance on enterprise networking, security architecture, infrastructure design, and technology modernization. 14. Provides technical leadership and mentoring to network and security staff, establishes network engineering standards and best practices, reviews technical solutions, and assists with the development of team capabilities in enterprise networking, cybersecurity, cloud infrastructure, and emerging technologies. Senior-Level Requirements Must have extensive knowledge and demonstrated experience in enterprise networking, cybersecurity, systems, databases, cloud infrastructure, and/or Web operations. The senior-level Network Engineer is responsible for developing and implementing enterprise network and security strategies, leading complex technical projects, designing secure and resilient infrastructure, resolving the most complex network and security issues, conducting risk assessments, evaluating emerging technologies, and providing technical guidance to IT and business leadership. The position requires advanced knowledge of network architecture, routing and switching, firewalls, VPN technologies, network segmentation, wireless infrastructure, cloud networking, identity and access management, security monitoring, incident response, vulnerability management, disaster recovery, and enterprise security controls. 8 Job Specific Skills and Abilities (KSAs): Intermediate professional level role. Works independently or on multiple IT security projects as a project team member, occasionally as a project leader. Works on small to large, complex security issues or projects that require increased skill in multiple IT functional areas. May coach more junior staff. 9 General Knowledge Skills and Abilities (KSAs): The submitted candidate must be able to apply common knowledge, skills, and abilities in the following areas: 1. Communication: Have the ability to clearly convey information, in both written and verbal formats, to individuals or groups in a wide variety of settings (i.e.; project team meetings, management presentations, etc.). Must have the ability to effectively listen and process information provided by others. 2. Customer Service: Works well with clients and customers (i.e.; business office, public, or other agencies). Able to assess the needs of the customer, provide information or assistance to satisfy expectations or resolve a problem. 3. Decision Making: Makes sound, well-informed, and objective decisions. 4. Flexibility: Is open to change, new processes (or process improvement), and new information. Has the ability to adapt in response to new information, changing conditions . click apply for full job details

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. Our goal is to be Earth's most customer centric company, and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in space-based systems design. We are looking for the next member of our team who are building critical components for Amazon Leo satellites. We are looking for an exceptional engineer who combines superb technical and analytical capabilities with a demonstrated ability to deliver hardware. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities • Own end-to-end delivery of satellite avionics subsystems, from architecture and requirements through production ramp, in partnership with peer engineers. • Lead system and subsystem architecture, translating mission requirements into manufacturable hardware designs. • Drive circuit design, analysis, and ECAD schematic capture to meet performance and reliability targets. • Lead hardware design reviews (architecture, schematic, PCB layout) and set the technical bar for design quality. • Develop and execute bring-up, verification, and qualification test strategies. • Lead debugging and root cause resolution across development, qualification, and production, working closely with design and test engineers. • Establish requirements, traceability, and verification frameworks for hardware subsystems. • Lead production readiness and ramp, including test strategy, yield improvement, and issue resolution. • Influence cross-functional teams (systems, firmware, manufacturing, test, suppliers) to deliver program milestones. • Act as a technical leader, raising engineering standards and developing other engineers. A day in the life As a Senior Aerospace Hardware Engineer, you will be part of the avionics hardware development team, designing and testing systems supporting satellite sensing and control (power delivery, propulsion, attitude control, and more). You will lead work across the full lifecycle, from component selection and schematic design through layout review, bring-up, validation, and system integration. You will help define requirements, drive high-quality hardware designs, and ensure robust execution from development into production. Working closely with peer engineers, you will lead critical technical efforts while partnering across systems, firmware, manufacturing, and integration teams to solve complex problems. You'll operate in a fast-paced, ambiguous environment, tackling challenges that have not been solved at scale and contributing to the development of engineering standards across the organization. Along the way, we guarantee that you will learn a lot, have fun, and make a positive impact on tens of millions of people! About the team Our team is responsible for delivering production hardware subsystems for attitude control, power delivery, and propulsion control subsystems on the satellite bus. We take ownership and work hard to deliver the highest quality solutions to support the long-term success of Amazon Leo. This team consists of a broad set of technical backgrounds, and we look forward to welcoming people that are excited to help us deliver broadband internet to underserved communities! BASIC QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures - 5+ years of experience developing hardware across the full product lifecycle (concept through production at scale) - Experience with PCB design and debug, including processors, FPGAs, power supplies, and sensors - Experience with complex board designs (e.g., high-speed interfaces, power electronics, or high-reliability systems) - Experience using ECAD tools for schematic capture and PCB layout - Experience driving hardware through bring-up, validation, and integration PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - 7+ years of experience developing hardware across the full product lifecycle in aerospace, automotive, or similar high-reliability environments - Experience with satellite, avionics, or vehicle control systems - Experience with system integration into complex electromechanical assemblies or enclosures - Experience with radiation-tolerant design or qualification for harsh environments - Experience developing test systems or automation (e.g., Python, C/C++) - Experience with hardware-in-the-loop (HIL) or similar system-level test methodologies - Experience with low-level firmware development and hardware/software integration Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 159 300.00 USD annually

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role In this role, you will participate in all phases of software development from requirements through implementation and test to operations. Our team tackles many critical satellite functions: power management, hardware interfaces, command & telemetry, and autonomous control. Job Responsibilities - Develop embedded software in C, C++, Rust, or other languages in a real-time operating system environment - Architect, design, and implement software for satellite constellation - Write software to interact with devices/electronics using I2C, SPI, RS-422, RS-485, Ethernet, etc. communications - Write device drivers and system applications for flight code and flight management - Work closely with hardware teams to support board bring-up and integration testing Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 168 400.00 USD annually USA, CA, Sunnyvale - 193 500.00 USD annually USA, WA, Redmond - 168 400.00 USD annually

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration. Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models. This is a ground-up effort with rapidly evolving hardware and software. We are looking for an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack. Key job responsibilities - Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference. - Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware. - Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism. - Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets. - Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bring-up. - Own features end-to-end: from design through implementation, testing, and integration into the broader software stack. - Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions. BASIC QUALIFICATIONS - Bachelor's degree or equivalent - 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Knowledge of computer architecture, operating systems, and parallel computing - Knowledge of Linux fundamentals - Strong proficiency in C/C++ - Experience developing compute kernels for GPUs, DSPs, or custom accelerators - Proven track record of owning and delivering complex software features end-to-end PREFERRED QUALIFICATIONS - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience with distributed systems - collective communication, RDMA, or high-speed interconnect programming - Experience with hardware simulation environments and model validation workflows - Demonstrated early adopter of AI-assisted development tools - uses LLMs or code-generation agents as part of daily workflow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models Analyze and optimize system-level performance across multiple generations of Neuron hardware Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks Implement optimizations such as fusion, sharding, tiling, and scheduling Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. Work directly with customers to enable and optimize their ML models on AWS accelerators Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers . click apply for full job details

About the Team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify AWS Neuron adoption, which is critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: - Research implementations that deliver the best possible experiences for customers. - Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron. - Solve challenging technical problems, often ones not solved before, at every layer of the stack - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Potentially contribute intellectual property through patents A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers. - Work in a startup-like development environment, where you're always working on the most important stuff. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages. - Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms - Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization - Experience working with open-source software communities in the optimization space or related areas - Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 158 800.00 USD annually

About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is seeking an experienced Principal Windows Systems Administrator to lead the design, implementation, and management of enterprise Windows infrastructure and Azure Virtual Desktop environments. This role will be critical in supporting our DevSecOps initiatives and ensuring secure, scalable, and efficient system operations for defense and space systems. The ideal candidate will bring deep expertise in Windows system administration, Azure cloud infrastructure, and security hardening while working in a fast-paced environment supporting mission-critical applications. Role Responsibilities: Design, deploy, and manage Azure Virtual Desktop (AVD) environments including host pools, session hosts, and user profiles to support distributed workforce requirements Administer and optimize Group Policy Objects (GPOs) across enterprise domains to enforce security policies, user configurations, and system settings Conduct comprehensive security and vulnerability scanning using industry-standard tools, and remediate identified vulnerabilities in accordance with compliance requirements Manage Windows Update deployment strategies, including WSUS administration, patch testing, and enterprise-wide update rollouts with minimal operational disruption Oversee some Linux virtual machine environments within hybrid infrastructure, ensuring proper integration with Windows systems and maintaining cross-platform operational excellence Design and troubleshoot complex networking configurations including VPNs, subnets, routing, firewalls, and load balancers in both on-premises and Azure environments Architect and maintain Azure infrastructure components including virtual networks, storage accounts, resource groups, and identity management solutions Lead Security Technical Implementation Guide (STIG) compliance efforts by implementing and validating security baselines across a mixed fleet Provide technical leadership and mentorship to junior system administrators and contribute to the development of best practices and standard operating procedures Collaborate with DevSecOps teams to integrate infrastructure-as-code practices and automation workflows for system provisioning and configuration management Required Qualifications: U.S. Citizenship and active secret security clearance Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent practical experience 7+ years of hands-on experience in Windows system administration in enterprise environments Advanced expertise in Azure Virtual Desktop deployment, management, and optimization Demonstrated proficiency in Group Policy creation, management, and troubleshooting across complex Active Directory environments Strong experience with security and vulnerability scanning tools (e.g., Nessus, Qualys, Rapid7) and remediation workflows Proven track record managing Windows Server Update Services (WSUS) or equivalent patch management solutions In-depth knowledge of networking protocols, architectures, and troubleshooting methodologies (TCP/IP, DNS, DHCP, VPN) Solid understanding of Azure cloud services, Azure networking (VNets, NSGs, Application Gateway), and infrastructure management Hands-on experience implementing and validating STIG compliance on Windows and Linux systems Preferred Qualifications: Active Top Secret clearance with ability to obtain TS/SCI Microsoft certifications such as Azure Administrator Associate, Azure Solutions Architect Expert, or Windows Server Hybrid Administrator Associate Proficiency in basic Linux system administration tasks. Experience with Infrastructure-as-Code tools (Terraform, ARM templates, Bicep) Knowledge of containerization technologies (Docker, Kubernetes) and their integration with Windows infrastructure Familiarity with DevSecOps practices, CI/CD pipelines, and automation frameworks Experience with PowerShell scripting and automation for system administration tasks Background supporting Department of Defense (DoD) or federal government IT environments Experience with monitoring and observability tools (Azure Monitor, Log Analytics, Prometheus, Grafana) Knowledge of identity and access management solutions (Azure AD, ADFS, MFA implementation) Experience with disaster recovery planning and implementation in cloud environments What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 130,000 - 170,000 USD per year(Huntsville, AL) Compensation details: 00 Yearly Salary PIda68e5b312f7-2570

Job Description Job Description Position Summary The AV Technician Level 2 is responsible for installation and field integration of commercial audio/visual systems including speakers, amplifiers, displays, racks, and control equipment. This role works independently on standard installations and supports larger team project deployments. Core Responsibilities Install speakers, amplifiers, DSPs, and AV control hardware Install and mount displays and projectors Build and dress equipment racks with proper cable management Run and terminate speaker wire, Cat6, HDMI, control cable Terminate and test structured cabling Install digital signage players and control processors Assist with system commissioning and signal testing Technical Skills Required Ability to build clean, professional rack systems Understanding of balanced vs unbalanced audio Familiarity with DSP signal flow (QSC, Biamp, etc.) Basic networking knowledge for AV over IP systems Ability to troubleshoot signal flow issues Experience with commercial AV systems preferred Field Expectations Work independently on smaller AV projects Follow wiring diagrams and system schematics Maintain clean cable management standards Ensure systems are fully tested before handoff Provide basic end-user training when required Qualifications 2-4 years experience in commercial AV installation Strong understanding of signal flow fundamentals Experience mounting displays and installing ceiling speakers Comfortable using lifts and power tools Clean driving record Company Description We've been in business for more than two decades and are vetted through the Department of Criminal Justice Services. Our team is always training with the latest technology and has installed more than 50,000 cameras across the country. Our clients include Onelife Fitness, McDonald's, Subway, Red Roof, Hilton, and more! When you work with us, you get a team that cares about your needs and a security solution that provides safety and peace of mind without all the frustration. Company Description We've been in business for more than two decades and are vetted through the Department of Criminal Justice Services. Our team is always training with the latest technology and has installed more than 50,000 cameras across the country. Our clients include Onelife Fitness, McDonald's, Subway, Red Roof, Hilton, and more! When you work with us, you get a team that cares about your needs and a security solution that provides safety and peace of mind without all the frustration.

Saab is seeking a Senior Systems Engineer to lead the design, integration, and optimization of complex systems supporting advanced defense manufacturing. In this role, you will define system architectures, manage requirements, and coordinate verification and validation for air, land, and naval applications, including radar and missile systems. You will collaborate across disciplines-software, hardware, cyber, and manufacturing-to ensure reliability, safety, and compliance with rigorous standards. At Saab, you'll join an innovative, mission-driven, global team, contributing to secure, high-tech solutions with lasting societal impact and continuous learning opportunities. Responsibilities Design, integrate, and optimize complex defense-related manufacturing systems for air, land, and naval applications Lead system architecture, requirements definition, and validation for advanced radar, missile, and control systems Collaborate with cross-functional engineering, manufacturing, and cyber teams to ensure system reliability and safety Develop test plans, perform system-level troubleshooting, and drive root-cause analysis and corrective actions Support production ramp-up, configuration management, and lifecycle management of delivered systems Contribute to continuous improvement, documentation, and adherence to quality, regulatory, and security standards Required Skills Systems engineering Requirements management (DOORS/Jama or similar) System architecture and modeling (Sys ML/UML/MBSE) Embedded systems and real-time control Network and communications protocols Manufacturing process integration System testing and validation Root-cause analysis and troubleshooting Configuration and lifecycle management Cybersecurity and safety standards familiarity

SAAB seeks a Senior Software Engineer to design, build, and maintain secure, high-reliability solutions for defense and aerospace systems within our IT organization. You will architect and implement complex services, integrate with advanced sensors and platforms, and ensure performance and safety in mission-critical environments. Collaborating closely with cross-functional engineering teams, you will apply modern DevOps, cloud, and cybersecurity practices while mentoring peers. Join an innovative, mission-driven culture focused on long-term societal security, continuous learning, and impactful global technology development. Responsibilities Design, develop, and maintain mission-critical software for defense and aerospace systems Lead end-to-end implementation of secure, high-availability applications in a modern tech stack Collaborate with systems, cyber, and hardware engineers on complex, cross-functional projects Apply secure coding practices and support compliance with defense and cybersecurity standards Mentor engineers, perform code reviews, and drive best practices in architecture and Dev Ops Participate in requirements analysis, estimation, and technical decision-making Support integration, testing, and troubleshooting in lab and field-like environments Required Skills Java or C++Python Real-time or distributed systems design Cloud platforms (AWS or Azure) CI/CD and Dev Ops practices Containerization (Docker, Kubernetes) Secure coding and cybersecurity fundamentals Microservices and API design Relational and No SQL databases Agile/Scrum development