249 jobs found

Job Description We are searching for a Systems Administrator to join the Reston, VA location of the Digital Engineering Department in the Cyber, Modeling, and Simulation Division of the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. You will maintain the integrity of various high-performance computing (HPC) systems including operating systems, physical servers/workstations, and applications; administer, install, and troubleshoot a variety of Cloud tooling and applications, perform systems maintenance tasks such as troubleshooting and performance evaluation as well as back-up and recovery; perform configuration changes to address customer needs; schedule, install, and test system software upgrades; monitor and maintain software licensing. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply You will: Install, configure, maintain, upgrade, and support systems and software with a focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Develop plans, schedules, and requirements for deployment of systems Create or improve existing scripts and tooling to aid in systems management Diagnose, troubleshoot, and resolve server, workstation, and audio-visual (A/V) issues and/or respond to outages during normal working hours Resolve service-related issues; determine immediate economic and financial consequences of an incident Test and implement upgrades and patches to installed operating systems, software container orchestration platforms (Kubernetes), and modeling & simulation (M&S) applications Maintain reliability of systems by monitoring, running tests, and troubleshooting Monitor backups and plans for installed systems Monitor, maintain, and execute automation processes and CI/CD pipelines Evaluate and recommend new or existing system improvements and/or solutions Create and maintain system documentation of our processes, procedures, plans, and configurations May supervise staff members, including hiring, development, and performance management Required Skills/Experience areas to include: Ability to install, configure, maintain, upgrade, and support systems and software, with a strong focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Skilled in diagnosing, troubleshooting, and resolving server, workstation, and audio-visual (A/V) issues, including responding to system outages during normal business hours Proficiency in testing and implementing upgrades and patches for operating systems, Kubernetes-based container orchestration platforms, and modeling and simulation (M&S) applications Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Your working location will be fully onsite, located in Reston , VA.

Job Description Senior Enterprise Services System Engineer job in Scottsdale, Arizona is available with Moseley Technical Services Top Aerospace / Defense company . In this job you will support the Space Development Agency as a member of a cross-functional team responsible for developing and deploying the state-of-the-art ground operational systems. Responsibilities: Develop, update, and sustain Enterprise Services system-engineering documentation supporting network, cloud, DMZ, and hybrid infrastructure capabilities. Author and maintain system specifications, architecture descriptions, design documents, interface control documents, architecture description documents, and network diagrams Translate needs, concepts, and technical requirements into clear, traceable system-engineering artifacts. Develop and maintain ICDs for network, cloud, external mission partner, Operations Center, Ground Entry Point, SVV, and enterprise-service interfaces. Work closely with Network, Cloud, Cybersecurity, Operations, Integration and Test, and Systems Engineering, to resolve documentation issues. Ensure documentation reflects the deployed environment, approved architecture, planned capability increments, interfaces, configurations, and technical decisions. Support requirements decomposition, allocation, traceability, verification planning, and updates to requirements traceability matrices. Participate in technical interchange meetings, design reviews, architecture working groups, DRRs, and configuration-control activities. Coordinate document reviews, adjudicate comments, maintain version control, and route documents through required approval and release processes. Ensure documentation supports the PWSA Tranche-based development approach by documenting current-state, planned-state, and future-state architecture evolution. Identify documentation gaps, outdated artifacts, interface inconsistencies, and technical dependencies; develop plans to address them. Support development of technical estimates, schedules, work plans, and backlog stories for documentation and systems-engineering activities. Provide Systems Engineering leadership for documentation priorities, quality standards, completion criteria, and delivery commitments across the Enterprise Services team. Required Skills & Experience U.S. citizen with active Department of Defense Secret security clearance Bachelor's degree in Systems Engineering, or STEM and 8+ years of relevant experience; or Master's degree and 6+ years of experience. 15+ years of recent experience designing, integrating, or sustaining complex distributed software systems 10+ years of recent experience working satellite-ground systems or similar national-security mission programs 5+ years of recent experience working in cloud or hybrid-cloud environments Demonstrated experience developing system-engineering documentation for complex network, cloud, or hybrid-cloud environments. Experience supporting SDA, PWSA, or GMI programs Familiarity with cloud networking and services, preferably AWS GovCloud and/or AWS SC2S, including VPCs, Transit Gateways, Direct Connect, load balancers, security groups, and Infrastructure as Code concepts.

Job Description Job Overview We are seeking an experienced AI - DLC Technical Program Manager to drive AI-assisted and AI-native software development lifecycle (AI-DLC) initiatives. The ideal candidate will have strong technical expertise in application development, AI/LLMs, cloud engineering, and modern software delivery practices. This role requires someone who can bring business stakeholders, architects, developers, AI engineers, and domain experts together to accelerate software delivery through AI-driven development approaches. The candidate must be technically strong enough to actively participate in engineering discussions, drive rapid prototyping, and ensure solutions are evaluated, refined, and production-ready. Roles and Responsibilities Lead complex software development programs using AI-assisted and AI-native development lifecycle practices. Translate business objectives into clear requirements, technical constraints, success criteria, and executable deliverables. Facilitate collaborative development sessions involving business teams, AI engineers, developers, designers, and architects. Drive rapid prototyping, continuous evaluation, and short feedback loops to accelerate solution delivery. Actively participate in technical discussions related to application architecture, APIs, integrations, AI/LLMs, data, cloud, and security. Identify opportunities where AI can accelerate requirements, design, development, testing, and delivery processes. Establish AI evaluation frameworks, acceptance criteria, quality gates, risk management, and production-readiness standards. Balance development speed with engineering quality, security, compliance, and human validation. Set realistic expectations regarding prototype development versus production-grade implementation. Identify reusable AI-DLC frameworks, accelerators, development patterns, and best practices. Track program success through validated learning, working solutions, measurable business outcomes, and delivered value. Required Technical Skills Strong understanding of AI-assisted and AI-native Software Development Lifecycle (AI-DLC). Practical knowledge of LLMs, Generative AI, Agentic AI, RAG, and Context Engineering. Experience with AI development tools such as: Claude / Claude Code GitHub Copilot Cursor OpenAI / Codex Gemini Azure OpenAI Strong technical understanding of application architecture, APIs, integrations, cloud platforms, data engineering, and CI/CD. Knowledge of software testing, security, observability, AI evaluation, and production deployment. Experience driving rapid build-test-evaluate-refine development cycles. Required Experience and Qualifications 10+ years of experience managing complex software/application development programs. Demonstrated experience in AI-assisted or AI-native software delivery models. Strong technical background with the ability to collaborate closely with engineering teams. Experience managing cross-functional teams and senior stakeholders. Excellent communication, problem-solving, and decision-making skills. Ability to work effectively in ambiguous and fast-paced environments. Bachelor's or Master's degree in Engineering (BE/ME/BTech/MTech/BSc/MSc). Technical certifications across multiple technologies are desirable.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking a Senior Software Engineer to build and sustain enterprise applications that Department of Defense (DoD)/Department of War (DoW) personnel depend on daily for program and financial management activities. Our stack includes Java and Spring Boot on the back end, Angular on the front end, and Oracle underneath, with applications deployed to government-approved cloud environments (such as AWS GovCloud) through automated pipelines that meet DoD/DoW security requirements. We place greater emphasis on an engineer's problem-solving approach, technical judgment, and ability to understand systems end-to-end than on experience with any specific set of frameworks or tools. Successful engineers in this role can quickly assess unfamiliar code, develop a clear understanding of how components interact from the database through the user interface, and design solutions that are reliable, maintainable, and scalable over time. We expect engineers to use AI-enabled tools effectively while remaining accountable for the quality, security, and performance of their work. Technical depth is important, but so are adaptability, sound judgment, clear communication, and disciplined engineering practices. You will work as part of a product team supporting an established enterprise application that DoD/DoW organizations rely on to manage program and financial data at scale. The role includes sustaining and enhancing capabilities customers depend on today, modernizing the underlying technology, and developing new functionality. You will regularly work within an existing codebase and exercise sound technical judgment when determining whether existing solutions should be improved, refactored, replaced, or retained. The ability to thoughtfully evaluate and evolve established systems is as important as the ability to design and build new capabilities. Responsibilities include, but are not limited to, the following: Own application capabilities from concept through production, including requirements analysis, solution design, API development, implementation, testing, deployment, verification, and sustainment. Use AI development tools where they improve efficiency across coding, testing, schema changes, documentation, and deployment activities, while remaining fully accountable for the correctness, security, and maintainability of all delivered work. Model data as part of feature design by designing tables, keys, constraints, and indexes that efficiently and securely support applications and APIs, and evolve existing schemas as requirements change. Write SQL directly against Oracle and understand database execution and performance implications. Contribute to Angular front-end work as features require, whether or not it is your primary specialty. Own your changes through the pipeline, including build, security scanning, testing, deployment, and verification in the target environment. Write clean, well-tested code, clearly explain technical approaches for peer review, and provide substantive and constructive reviews of others' work. Investigate defects efficiently to identify root causes rather than stopping at the first plausible explanation. Participate in architecture and design decisions, and advocate for technically sound approaches supported by clear rationale. Knowledge and Skills: Demonstrated depth in relational databases, including designing schemas and writing, reading, and reasoning about non-trivial SQL, preferably in Oracle environments. Working familiarity with a modern front-end framework, such as Angular or React. Experience delivering software through CI/CD into a cloud environment using a mainstream toolchain, such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, Bitbucket Pipelines, or equivalent. Recent hands-on experience with a modern Java LTS release (21 or 25). What Distinguishes Strong Candidates You may not have experience in every area listed below. These qualifications are intended to provide insight into the technical and operational environment in which you will work and the capabilities that can contribute to success in this role. Data access breadth - Experience working with both JPA/Hibernate and JDBC-based approaches, with the ability to determine when each is appropriate; familiarity with schema migration tools such as Flyway or Liquibase. Cloud and operations - Experience with AWS services such as ECS/Fargate, RDS, S3, and IAM; container build and runtime environments; and infrastructure as code. Pipeline and supply chain - Experience with static analysis and dependency scanning tools such as SonarQube, Fortify, Trivy, or Snyk; artifact promotion and provenance; and pipeline development within a modern CI/CD platform. Security engineering - Experience with PKI and certificate management, TLS configuration, secrets management, FIPS-validated cryptography, and secure software development under DoD/DoW requirements. Regulated delivery - Experience delivering software in environments governed by STIGs, RMF, ATO processes, or similar security and compliance frameworks. Domain - Experience with federal financial management, Planning, Programming, Budgeting, and Execution (PPBE), or DoD/DoW systems acquisition. AI-assisted development - Demonstrated experience using AI-enabled development tools in production software environments, combined with the judgment to validate outputs, recognize limitations, and determine when independent technical analysis is required. Education and Work Experience: This position requires seven (7) or more years of professional software development experience, with substantial hands-on experience in Java and Spring Boot. This position requires a minimum of a Bachelor's degree from an accredited college or university in data science, computer science, software engineering, information systems, mathematics, or a closely related technical discipline. Experience in lieu of education may be considered if the individual has eleven (11) or more years of relevant technical training or professional work experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas effectively so others can understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, equipment, and other work-related resources, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain Secret clearance is required for this role. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. Please note: All candidates being considered for this position will be required to complete a technical assessment designed to evaluate their engineering and coding skills. The assessment may include general coding exercises, code testing and debugging, problem-solving, ability to follow technical requirements, and attention to detail. The assessment is expected to take approximately 60 minutes to complete. It is being administered for candidate evaluation purposes only, and any code or work product submitted as part of the assessment will not be used for business or production purposes. If you require a reasonable accommodation to complete the assessment, please notify our Human Resources team in advance so we can support your request. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses . click apply for full job details

Ken's Foods is a family owned business that takes pride in its roots. Ken's Foods, Inc was incorporated in 1958, and currently has plant operations in Marlborough, Massachusetts, McDonough, Georgia, Las Vegas, Nevada, and Lebanon, Indiana. In addition, Ken's employs over 1000 employees nationally. To this day, Ken's is still owned by the same family, as they continue their tradition of flavor obsession. Joining Ken's Foods is becoming part of an enthusiastic team. Whether you're in our state-of-the-art facilities or in our corporate headquarters, you'll enjoy a warm company culture and get all the tools you will need to succeed in your career. SUMMARY The Automation Engineer will support our Corporate Engineering team with Manufacturing Systems Controls Design and Support. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: Development, integration, and maintenance of manufacturing equipment controls systems, manufacturing systems automation, industrial electrical maintenance and design, and human-machine interfaces, and industrial communications networks under the direction of senior corporate engineers and integrators. Must have experience with Ignition. Experience with some of the following is strongly desired: Rockwell RSLogix 5, 500, 5000, Studio Rockwell RS View, Factory Talk Studio Inductive Automation Ignition. Must have experience with Ignition. Rockwell PowerFlex Variable Frequency Drives Rockwell Point IO and Flex IO systems Industrial electrical panels and wiring Exposure and understanding of the following are beneficial: Industrial flow meters, temperature probes, level sensors, photoeyes, and solenoid valves Wonderware InTouch, InBatch Microsoft SQL AutoCAD VMWare Workstation Player and vSphere Programming (C++, Visual Basic, Java, Python, etc.) Cisco networking hardware Fanuc Robotic Application Must be available to travel to all Facilities to assist with project work and start-ups. Work with site Control Technicians for troubleshooting, training, and start-ups. Develop and foster strong relationships with Plant Operation team to evolve current systems architecture and maximize manufacturing efficiencies and output. Job requires interaction with plant personnel both hourly and salary. Good people management skills, Customer focused personality and approach are a must. Support local Operations needs for electrical and automation system support. Create written instructions for local Maintenance department for automation systems Commitment to safety begins with management. Managers and frontline supervisors are accountable for creating and maintaining a culture of Safety and assuring a safe work environment. Education and/or Experience Bachelor's degree (B. S.) from four-year College or university in software engineering, electrical engineering, or related discipline. 4+ years' experience with industrial control systems. SKILLS AND ABILITIES Good understanding of industrial automation programming concepts Strong understanding of electrical concepts and theories Understanding of computer WAN and LAN networks Ability to work and manage time independently Ability to quickly learn about new software, hardware, and automation equipment and effectively implement it The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $90k-110K annually. At this time, we are not able to consider candidates who require, or may require, current or future visa sponsorship. This may include, but is not limited to, candidates in F-1/OPT, CPT, H-1B, TN, E-3, H-4 EAD, or similar temporary work-authorized visa statuses. Employment with Ken's Foods is contingent upon successful completion of a drug test, background screening, and pre-employment assessment.

Job Description Overview A rapidly growing technology-driven organization is seeking a Senior Cloud Engineer to help architect, build, and scale the cloud infrastructure that supports critical business applications and services. This role is ideal for a senior-level engineer who thrives at the intersection of cloud architecture, platform engineering, Kubernetes operations, networking, and infrastructure automation. The successful candidate will serve as a technical leader and trusted partner to engineering, security, and product teams, helping drive scalable platform solutions, operational excellence, and cloud modernization initiatives. This position combines strategic architectural responsibility with hands-on engineering execution. Key Responsibilities Cloud Platform Architecture Design, implement, and continuously improve enterprise cloud platforms supporting large-scale production workloads. Establish architecture standards, reference designs, and engineering best practices for cloud infrastructure. Develop scalable and resilient infrastructure patterns that support current and future business growth. Evaluate emerging cloud technologies and recommend improvements to platform capabilities. Kubernetes & Container Platform Engineering Design and manage enterprise Kubernetes environments supporting mission-critical applications. Lead platform improvements related to cluster architecture, lifecycle management, scaling, security, and workload optimization. Establish standards for containerized application deployment, networking, observability, and operational support. Improve platform reliability, performance, and operational efficiency through automation and engineering best practices. Cloud Networking & Infrastructure Design and support enterprise cloud networking architectures, including routing, segmentation, connectivity, and traffic management. Manage and optimize secure connectivity between cloud environments, external services, and enterprise systems. Develop standards for ingress, egress, DNS, edge networking, TLS management, and application delivery. Partner with security and infrastructure teams to implement secure, scalable networking solutions. Platform Enablement & Engineering Collaboration Partner with application development teams to onboard new applications and services onto cloud platforms. Provide architectural guidance for application connectivity, scalability, and infrastructure design. Assist engineering teams with troubleshooting, performance optimization, and operational best practices. Ensure platform standards are adopted consistently across teams and environments. Infrastructure Automation & Reliability Champion an automation-first approach across infrastructure provisioning, deployment, and operations. Develop Infrastructure-as-Code solutions and repeatable deployment patterns. Improve operational efficiency through self-service tooling, automation frameworks, and standardized workflows. Support platform observability, monitoring, alerting, and performance management initiatives. Technical Leadership Serve as a senior technical contributor and subject matter expert for cloud infrastructure and platform engineering initiatives. Mentor engineers and provide guidance on architecture, cloud design, Kubernetes operations, and networking best practices. Create and maintain architecture documentation, operational procedures, and technical standards. Influence technical direction across multiple engineering teams and strategic initiatives. Required Qualifications 8+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or related disciplines. Proven experience designing and operating large-scale Kubernetes environments in production. Deep expertise with cloud-native architecture and modern infrastructure platforms. Strong experience with Kubernetes administration, workload orchestration, autoscaling, and platform security. Extensive knowledge of AWS services, cloud networking, and infrastructure design principles. Strong understanding of cloud networking including VPC design, routing, segmentation, and scalable connectivity architectures. Experience managing ingress, egress, transit networking, and private connectivity solutions. Strong troubleshooting and performance optimization skills across cloud and containerized environments. Experience creating technical standards and architecture frameworks adopted across multiple teams. Excellent written and verbal communication skills with the ability to communicate effectively to both technical and business audiences. Preferred Qualifications Deep expertise with API gateway technologies and service delivery architectures. Experience supporting enterprise edge networking, content delivery, DNS, and traffic management platforms. Knowledge of application architecture and distributed systems design principles. Experience with advanced Kubernetes ecosystem tools and automation frameworks. Background in software engineering or application development. Working knowledge of Python or other scripting languages for automation and platform engineering tasks. Experience implementing Infrastructure-as-Code, GitOps, and modern platform engineering practices. Cloud and Kubernetes certifications are beneficial but not required. Technical Environment Strong experience with the following technologies is highly desirable: AWS Kubernetes (EKS preferred) Docker Infrastructure as Code Python API Gateway technologies DNS and Traffic Management Platforms TLS/Certificate Management Cloud Networking CI/CD Platforms Observability and Monitoring Solutions Infrastructure Automation Frameworks What You'll Bring A strong balance of architectural vision and hands-on technical execution. Deep expertise in cloud infrastructure and modern platform engineering. Strong problem-solving and troubleshooting capabilities. An automation-first mindset focused on scalability and operational excellence. The ability to influence technical direction across engineering organizations. Exceptional communication and stakeholder management skills. A passion for building resilient, maintainable, and highly scalable cloud platforms. This opportunity is ideal for a senior cloud engineer who enjoys solving complex infrastructure challenges, shaping cloud platform strategy, and enabling engineering teams through scalable, secure, and automated cloud solutions. The role offers broad ownership, significant architectural influence, and the opportunity to help drive the next generation of platform engineering capabilities across the organization.

Job Description Senior Software Engineer $200,000 - $300,000 Base Salary + Equity New York City In Office A high-growth, venture-backed software company is hiring a Senior Software Engineer, Money Movement to help build the financial infrastructure behind its platform. You'll work across payroll, banking, payments, accounting, and ledger systems , building products responsible for moving and accurately tracking real money. You'll join a highly technical engineering team building financial products from the ground up, with ownership over systems where correctness, reliability, and auditability are non-negotiable . This is an opportunity to tackle complex fintech problems while directly shaping the architecture and technical standards behind a rapidly growing platform. What You'll Be Doing Build a payroll product from the ground up , including earnings calculations, tax withholding, payment execution, and filing integrations Develop bill pay and accounts payable infrastructure that allows customers to pay suppliers directly through the platform Build embedded banking capabilities that give customers faster access to their funds Own and scale accounting integrations , including synchronization of invoices, bills, journal entries, and sales data Design double-entry ledgers supporting financial products such as deposits, loyalty, and stored value Build systems around idempotency, reconciliation, atomicity, concurrent transactions, and financial correctness Establish engineering standards for money movement that can be adopted across the broader organization Leverage modern AI coding agents while maintaining the guardrails required for production financial systems Highlights ? Build Money Movement Products from 0 1 - Help launch new payroll, banking, and bill pay products from the ground up ? Embedded Banking & Payments - Build infrastructure that moves real customer funds and powers critical financial workflows ? Ledgers & Financial Correctness - Design auditable double-entry ledger systems where being off by even a cent matters ? Build Payroll from Scratch - Own core payroll infrastructure spanning earnings, tax withholding, payments, and filing integrations ? Accounting Infrastructure - Build and scale integrations with platforms such as QuickBooks and other accounting systems ? Deep PostgreSQL Engineering - Design transactional schemas and concurrency-safe systems capable of supporting growing financial workloads ? AI-First Engineering Culture - Use modern AI coding agents as part of the everyday development workflow ? High Ownership & Impact - Join a small engineering team where your architectural decisions can become company-wide standards What They're Looking For 5+ years of experience building production backend systems Strong backend engineering experience, ideally with TypeScript / Node.js Deep understanding of transactional systems , including idempotency, atomicity, retries, concurrency, and failure handling Strong experience with PostgreSQL , including schema design, transactions, and performance at scale Experience building systems where financial correctness and data integrity are critical Track record of debugging complex production problems and solving the underlying root cause Ability to independently own complex technical projects from architecture through production Nice to Have Experience building payroll, banking, payments, ledger, or other financial systems Experience with accounting platforms such as QuickBooks, NetSuite, or Xero Experience with payment processors, ACH, reconciliation, or money movement infrastructure Familiarity with Next.js, tRPC, Prisma, Vercel, ElastiCache, RDS, or RDS Proxy Experience working with AI coding tools such as Devin, Claude Code, or Cursor Background in retail, POS, multi-location operations, or cash reconciliation Experience establishing technical or architectural standards across engineering teams Compensation & Benefits $200,000 - $300,000 base salary Meaningful equity package Fully company-covered medical and dental benefits 401(k) Catered meals High-impact role with significant technical ownership Opportunity to build foundational financial products from the ground up

Job Description Director - Regulatory Technology (US) New York $400,000-$600,000 Total Compensation (dependent on seniority) An exciting opportunity to join one of the world's fastest-growing quantitative investment firms, as it continues to expand its presence in the US with a newly established office in New York. The firm is looking for a hands-on Director of Regulatory Technology to take ownership of critical US regulatory reporting and surveillance systems. This is a rare opportunity to play a key role in building out the firm's regulatory technology capabilities from the ground up, combining senior-level ownership with hands-on engineering in a highly technical trading environment. Key Responsibilities Lead the design, development and enhancement of production-grade regulatory technology systems. Remain hands-on with Python and SQL, building applications, data pipelines and automated workflows. Develop solutions supporting key US regulatory requirements, including CAT, Blue Sheets and short-selling controls. Build robust data validation, reconciliation and exception management frameworks. Ensure accurate, traceable order and execution data across the full trade lifecycle. Drive improvements in system performance, data quality, automation and operational controls. Work closely with senior stakeholders across Compliance, Trading and Technology. What We're Looking For 10+ years of software engineering experience within financial services. Strong hands-on Python and SQL development skills. Experience across Regulatory Technology, Trade Surveillance or Capital Markets. Good understanding of US regulatory reporting, particularly CAT and Blue Sheets. Strong knowledge of order and execution lifecycles, OMS/EMS platforms and trading data. Experience building scalable production systems, data pipelines and automated controls. Comfortable operating at Director level while remaining technically hands-on. Why Join? The opportunity to join a rapidly expanding global Hedge fund at a pivotal stage of its US growth. You will have significant ownership, the chance to shape a newly established US function and the ability to remain technically hands-on.

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details

Job Description Staff Full Stack Engineer AI Healthtech NYC Up to $240k + Equity The Company I'm working with a fast-growing Series B healthcare technology company in New York that is building software to solve some of the most complex problems in US healthcare. Their platform combines large-scale backend systems, data-heavy workflows and AI to help healthcare organisations improve accuracy, reduce waste and automate difficult processes. They're scaling their engineering team and looking for an experienced Staff Full Stack Engineer who can take genuine ownership of major technical challenges across the platform. This isn't an architecture-only position. They want someone who can set technical direction, influence engineering decisions and remain genuinely hands-on. The Role You'll play a key role in building and scaling the applications that sit at the centre of the company's AI-powered healthcare platform. This includes sophisticated React applications, complex operational workflows, backend services and data-intensive systems where performance, accuracy and reliability are critical. You'll have significant autonomy to make architectural decisions, improve engineering standards and influence how the wider team builds software. Key responsibilities: Own the architecture and delivery of complex full-stack systems, from frontend applications through to backend services. Build and scale production React and TypeScript applications, focusing on performance, component architecture, state management and user experience. Design robust APIs, backend services and relational data models supporting complex operational workflows. Make important system design decisions and establish engineering patterns across multiple teams. Work closely with product, design, backend and AI engineers to deliver intuitive applications powered by sophisticated backend systems. Champion modern engineering practices, including AI-assisted development, automated testing, observability and CI/CD. Mentor senior engineers, lead technical discussions and raise engineering standards while continuing to write production code. What They're Looking For 10+ years of software engineering experience , including genuine Staff-level technical ownership. Deep hands-on experience with React, TypeScript and modern JavaScript . Strong frontend architectural judgement, including reusable components, state management and application performance. Solid backend engineering experience with Python, Node.js or TypeScript , including APIs, databases and distributed systems. Experience architecting and delivering complex production applications end-to-end. Strong system design and cloud infrastructure knowledge, ideally AWS, Docker, Kubernetes and CI/CD. Proven experience mentoring engineers, influencing technical decisions and working effectively across teams. A strong product engineering background, ideally within high-growth technology companies or engineering-led startups. Someone who communicates clearly, makes thoughtful technical trade-offs and still enjoys getting into the code. Additional experience that would stand out: Building AI-powered applications, LLM integrations, agentic workflows or conversational interfaces. Healthcare, fintech or other regulated, data-intensive environments. B2B SaaS products involving complex operational workflows. GraphQL, PostgreSQL, Kafka or distributed data processing. Using AI coding tools such as Claude Code to improve engineering productivity. The Opportunity This is an opportunity to join a well-funded, growing engineering organisation at a point where individual engineers can still have a significant influence over the product and technical direction. You'll work on difficult engineering problems, help shape architecture across the stack and have the autonomy to build systems properly. It's particularly well suited to someone who wants the influence and ownership of a Staff Engineer while remaining closely involved in writing and shipping code. Location: New York City - 3 days per week onsite. Salary: Up to $240,000 base + equity. Level: Staff Engineer - Individual Contributor. If you're an experienced Staff Full Stack Engineer in New York who enjoys solving difficult problems, owning major systems and influencing how engineering teams build software, drop me a message. Happy to share more information about the company, the engineering team and the challenges they're tackling. If you're a Staff, Principal, Lead or exceptionally strong Senior Fullstack Engineer looking for serious technical ownership without moving away from coding, drop me a message.

Pay Range: $55.00hr - $60.00hr Job Description: Experience in developing Android apps on the Play Store, Jetpack Compose, Compose UI, and experience with location/map. Experience with Gradle, Android Studio, Java, Kotlin, Retrofit, and Room. Knowledge of MVI and MVVM, OOP, OOD, DDD, through SOLID principles and development best practices. Strong analytical and debugging skills. Consumer mobile application development experience. A background in building mobile applications that utilize web services (either REST-based, JSON, Thrift, or other services). Good knowledge of Material Design and experience and thorough understanding of Agile Software Development. Proficiency in the use of JIRA/Confluence in product development. Experience in source control tools like Git. Good knowledge of the continuous deployment and integration process. Experience with Platform APIs to control OS/Device, custom launchers. Experience with Android Management API, Device Policy Manager, Profile management, etc. Expert knowledge of Kotlin, modern Jetpack libraries, system-level Android permissions, and custom AOSP (Android Open Source Project) builds or privileged system app development. Job Responsibilities: Develop applications for the Android platform. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality. Develop solutions to address complex problems. Ability to share technical solutions and product ideas with the broader team through design review, code review, and show and tell. Participate in brainstorming sessions and contribute ideas to technology, algorithms, and products. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $60.00hr - $65.00hr Job Overview: As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. Our client is looking for a Senior AI Engineer with Java Full Stack Experience to join a learner-centered team committed to delivering a next-generation transformative AI-powered learning infrastructure. In this role, the candidate will influence the future of learning experiences by developing integrated and scalable solutions from the ground up within a supportive and collaborative environment. Responsibilities: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant. Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements. Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs. Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems. Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL. Build the organization's agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions. Design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10+ years of experience with Software Development in Java Fullstack (Java, Angular). 2+ years of experience in AI Technologies. Generative AI & LLMs: Demonstrated track record of deploying Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience with relational database architecture and enterprise data schema management. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security. Strong verbal and written communication skills with stakeholder management capabilities. Preferred qualifications: Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $57.00hr - $62.00hr Job Overview: We are seeking a highly experienced and technically proficient Senior Backend Developer specializing in Java Spring Boot and Microservices Architecture. The ideal candidate will have a strong background in the retail domain, proven leadership capabilities, and a passion for implementing best development practices across onsite-offshore teams. The candidate will participate in all aspects of the SDLC lifecycle including solution design, implementation, and deployment from offshore. This hands-on technical role requires strong object-oriented and system design skills, Web application architecture, Web services, and XML/JSON transformation. The candidate must have excellent communication skills to successfully interact with stakeholders, other software developers, application and data architects, business analysts, and other related teams. Responsibilities: Lead backend development efforts using Java Spring Boot and Microservices. Architect scalable, secure, and high-performance backend systems. Collaborate with cross-functional teams across onsite and offshore locations. Mentor junior developers and enforce coding standards and best practices. Drive continuous integration and deployment (CI/CD) pipelines. Ensure code quality through automated testing and code reviews. Optimize application performance and troubleshoot production issues. Work closely with product owners and business analysts to translate requirements into technical solutions. Required Skills & Qualifications: 10+ years of hands-on experience in backend development using Java and Spring Boot. Strong expertise in Microservices architecture, RESTful APIs, and service orchestration. Experience with retail systems such as POS, inventory, order management, or customer engagement platforms. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Experience with cloud platforms (AWS, Azure, or GCP), with GCP preferred. Strong understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions). Knowledge of monitoring tools (Prometheus, Grafana, ELK stack). Excellent communication and leadership skills. Experience working in Agile/Scrum environments. Preferred Tools & Technologies: Development: IntelliJ IDEA, Eclipse, VS Code. Version Control: Git, Bitbucket. Build Tools: Maven, Gradle. CI/CD: Jenkins, GitHub Actions, GitLab CI. Testing: JUnit, Mockito, Postman, REST Assured. Monitoring: ELK Stack, Prometheus, Grafana. Cloud & Containerization: AWS, Azure, Docker, Kubernetes. Collaboration: Jira, Confluence, Slack, Microsoft Teams. Nice to Have: Experience with event-driven architecture (Kafka, RabbitMQ). Exposure to retail analytics and data pipelines. Certifications in Java, Spring, or cloud technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Job Description Mission Operations Specialist - Ground Systems Status: Full Time, Exempt Location: Moriarty, NM Reports to: Senior Ground Systems Integrator Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications, imaging, and remote sensing infrastructure through stratospheric platforms. Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18 - 21km). They can carry multiple telecommunications, imaging, and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages. Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies. At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you will contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence. About the Position: Sceye is seeking a Mission Operations Specialist - Ground Systems to deploy, integrate, configure, verify, operate, troubleshoot, and sustain mission-critical ground systems used for HAPS testing and global operations. The role provides primary technical depth in fielded ground system capability while maintaining secondary qualification in mission execution, test support, mission readiness, and operational surge activities. This is a junior, hands-on role spanning Linux-based computers, operator workstations, networks, mission applications, telemetry interfaces, RF equipment, data logging, time synchronization, storage, power, cabling, and deployable field hardware. The Specialist executes approved architectures and baselines, supports integration and readiness activities, and coordinates complex issues with the Senior Ground Systems Integrator, Ground Systems Engineer, Software, Enterprise IT, and Mission Operations. The role does not independently establish architecture or approve engineering design changes. What You Will Do: The Mission Operations Specialist - Ground Systems position will be a multi-functional role. We are looking for a positive, highly motivated professional with a strong work ethic, a collaborative and open-minded approach, and the humility and drive to work hard, continuously learn, and contribute beyond their primary area of expertise wherever the mission requires. Ground System Deployment and Integration Assist with assembly, configuration, integration, checkout, packing, deployment, installation, teardown, and redeployment of approved Ground Control Station configurations Integrate servers, Linux workstations, network devices, storage, RF and telemetry interfaces, Operator displays, communications equipment, power distribution, UPS equipment, cabling, and supporting field hardware Replicate approved ground system baselines for additional HAPS, missions, sites, training environments, and test configurations Configuration, Verification, and Acceptance Apply approved configurations to Linux systems, network devices, Operator stations, remote nodes, mission applications, and supporting infrastructure Assist with integration, checkout, acceptance, regression, and operational-readiness procedures Verify telemetry flow, network connectivity, communications, time synchronization, logging, storage, user access, remote connectivity, and Operator functionality Collect and organize logs, screenshots, test results, configuration data, and other objective evidence required for acceptance and troubleshooting Maintain inventories, equipment assignments, network diagrams, cable maps, build records, software and hardware versions, and deployment records Troubleshooting and Sustainment Assist with intermediate troubleshooting of ground system hardware, Linux services, networking, mission applications, data interfaces, telemetry, RF equipment, and Operator workstations Systematically isolate faults to equipment, service, interface, configuration, network path, power source, or external dependency Reproduce reported problems in integration or test environments when practical and document symptoms, actions, results, workarounds, and final resolution Coordinate complex software, automation, architectural, cybersecurity, or design issues with the responsible technical authority Perform preventive maintenance, spares management, lifecycle support, and readiness restoration for fielded systems Operational Readiness and Mission Support Assist with ground system readiness checks before simulations, tests, deployments, and live missions Verify availability and configuration of required hardware, software, networks, communications, documentation, tools, spares, and support equipment Provide ground system support during mission setup, checkout, shift turnover, live operations, maintenance, and recovery from outages Perform HAPS Operator or other assigned Mission Operations duties when qualified, current, and designated Support remote sites and distributed operations while maintaining escalation paths to centralized technical and operational authorities Standardization, Training, and Improvement Create and maintain installation instructions, configuration guides, checkout procedures, troubleshooting references, deployment checklists, and sustainment records Standardize labeling, cabling, equipment layouts, packing, inventories, readiness evidence, and field practices across sites Support scripted tests, automation, validation tooling, and data collection with the Ground Systems Engineer What We Are Looking For: Knowledge, Skills, and Abilities Advanced hands-on ability with Linux systems, Ethernet networking, IP addressing, managed switches, remote access, cabling, racks, field hardware, and systematic troubleshooting Ability to integrate and sustain mission-critical systems using approved designs, configuration baselines, and technical procedures Working knowledge of telemetry, RF communications, logging, data storage, time synchronization, operator workstations, and distributed-system dependencies Ability to distinguish authorized configuration work from changes requiring technical-authority or configuration-control approval Strong technical-writing and documentation skills for diagrams, build records, troubleshooting notes, checklists, and acceptance evidence Ability to work safely around electrical equipment, racks, antennas, power distribution, UPS systems, fiber, copper cabling, and field enclosures Ability to coordinate effectively across Mission Operations, Software, Enterprise IT, Safety, and external site personnel Ability to lead small integration and deployment efforts while remaining hands-on Strong attention to detail when handling safety-critical content, records, and controlled documents Ability to learn unfamiliar HAPS systems, mission software, communications systems, procedures, and operational concepts Required Qualifications: Four or more years of experience assembling, configuring, integrating, operating, maintaining, or troubleshooting technical systems in aviation, aerospace, telecommunications, field service, IT, defense, or mission-critical operations Demonstrated experience with Linux-based systems and command-line environments Working knowledge of Ethernet networking, IP addressing, cabling, switches, and connectivity troubleshooting Experience with Bash, Python, Git, containers, virtualization, infrastructure automation, or configuration-management tools Experience executing technical procedures, integration tests, acceptance checks, or system-readiness activities Experience maintaining configuration records, equipment inventories, diagrams, build records, or comparable technical documentation Ability to lift, move, install, and safely work around deployable technical equipment consistent with applicable workplace requirements Ability to travel and work nonstandard schedules during deployments, tests, and live missions Ability to work in a safety-focused and procedurally disciplined operational environment Preferred Qualifications: Associate or Bachelor's degree in Information Technology, electronics, networking, aviation technology, engineering technology, or a related field, or equivalent advanced hands-on experience Experience supporting ground control systems, UAV operations, aerospace testing, telemetry networks, or mission-control environments Familiarity with VLANs, firewalls, VPNs, managed switches, remote access, and cybersecurity-controlled environments Experience with RF communications, software-defined radios, antennas, telemetry, precision timing, or radio-network equipment Experience with equipment racks, power distribution, UPS systems, fiber, copper cabling, environmental controls, and deployable enclosures Prior military, aviation, telecommunications, field-service, or remote-site operations experience What We Offer: At Sceye . click apply for full job details

What you will do: The ideal candidate will demonstrate a strong technical capability and engineering foresight, with the ability to lead complex development programs and portfolios focused on solving highly ambiguous and technically challenging problems. This role defines investigation strategies, including establishing supporting initiatives and identifying the appropriate teams and resources required for success. The individual provides technical oversight across multiple programs and development efforts while working closely with cross-functional partners to drive alignment, collaboration, and the successful adoption of designs and solutions across the organization. This position is not eligible for sponsorship. How you will do it: • Lead and advise cross program System Teams to review and negotiate customer specifications, industry standards, regulatory standards and internal design guidelines to establish product system requirements. • Guide across program System Teams in validation planning activities in accordance with automotive functional safety and ASPICE processes. • Develop System Processes with interaction with interacting Stakeholders to be compliant to ISO26262 and ASPICE processes. • Identify System Process gaps and lead System team for process improvement • Guide Workgroups to collect, analyze, and cascade the system requirements. • Lead Teams for optimization of requirements and parameter definition processes • Guide cross program to analyze performance and design constraint requirements • Define the system architecture, including sizing and cell selection based on core product portfolio using model-based systems engineering methods. • Guide cross program System Teams requirements cascading to engineering disciplines and subsystems • Lead analyzing limiting requirements to all functional levels • Define system architecture with interfaces of components and engineering disciplines • Review the system level DFMEA and lead the coordinating with other sub-systems and component FMEAs. • Approve specifications and design of all battery components - mechanical, electrical, software, and electronics. • Develop relationships with suppliers to help generate component specifications and lead the make vs. buy analysis in conjunction with functional groups. • Approver of system work packages and test results in support of design verification. • Approver of engineering documentation to ensure a sensible archive of information including engineering calculations, engineering drawings, intellectual property, DFMEAs, validation reports, meeting minutes, trip reports, and customer documents/communication. • Provides technical leadership on assigned project teams and tasks with other engineering disciplines. What we look for: Required: • Bachelor's degree in related field with extensive industry experience (15+ years) Preferred: • Master's degree in related field with extensive industry experience • PhD from a technically rigorous program and institution What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.