Devops engineer jobs in Lake Forest, CA

The Sr. Software Engineer will be responsible for the design/implementation of new software applications, maintenance and enhancement of various software products / solutions. They assist in successful execution of projects with minimal direction and guidance. What You'll Be Doing Spend 90% of your time actively designing and coding in support of the immediate team. 10% of your time will be spent researching new technology, coaching, and mentoring other engineers. As a senior team member of developers, providing feedback and training where necessary, and ensure that technical initiatives align with organizational goals working closely with Principal Engineers / Development Managers. As a Full Stack Engineer assigned to the product/project ensure performance, maintainability, and functional requirements from design, development, testing to rollout and support Work with cross-engineering staff, collaborating on hardware and system monitoring requirements to ensure expected performance and reliability of the application / system developed. Proactively communicate and work to mitigate changes to project timelines, degradation in performance of applications, troubleshooting / problem solving production issues. Education The Ideal Candidate: Bachelor's degree in Computer Science, Engineering or related industry experience Experience A minimum of 6 years of professional software development experience in business process automation applications. A minimum of 5 years' experience in .Net, C#, Windows tools and languages as well as modern web frameworks (Angular via Typescript, React, Vue) Understanding of data repository models is a must. Understanding of SQL and NoSQL is preferred. Understanding of Agile methodologies, Domain Driven Design, Test/Behavior Driven Design, Event Driven via Asynchronous messaging approaches, microservice architecture. Preferred Experience ASP.NET, WCF, Web Services, NServiceBus, Azure Cloud, Infrastructure as Code (IaC) DevOps experience as a full stack developer owning the Software Development Lifecycle. Strong understanding and experience writing unit and integration tests for all code produced. Specialized Skills Can effectively lead technical initiatives, collaboratively design/requirements meetings while gathering the necessary information for software development. Ownership and accountability mindset, strong decision making along with communication and analytical skills that helps to partner with Product Owners and cross functional teams. Leadership in project execution and delivery. Must be an excellent team player with the ability to handle stressful situations. The individual has deep expertise in their chosen technology stack and have a broader knowledge of various programming languages, frameworks, and tools. Brings a wealth of experience and a nuanced understanding of the specific domain, enabling insightful decisions and innovative problem-solving. Ability to break up larger projects into individual pieces, assess complexity of each piece, and balance the work amongst team members. Ability to work in fast paced / flexible environment that practices SAFe / Agile based SDLC. Sets high standards for behavior and performance, models the values and principles of the organization, and inspires others through action. Practices Test Driven Design leveraging unit tests, mocks, and data factories. Experience with event driven design and microservice architecture best practices. Posses strong sense of interpersonal awareness, has a bias for action, builds trust, is technically deep, and has good judgement. Pay Range: $111k - 165k The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

Hanwha Vision America (HVA) is an affiliate of the Hanwha Group, a Fortune Global 500 company. HVA is an industry-leading provider of advanced network video surveillance products, including IP cameras, storage devices, and video management systems, founded on world-class technologies. We offer end-to-end security solutions and have achieved global success across a wide range of industry verticals, including retail, transportation, education, banking, healthcare, hospitality, and airports. Hanwha Vision America is seeking a highly experienced and visionary Principal Software Engineer to join our core platform team. With 15-20 years of deep technical expertise, you will play a critical role in designing, architecting, implementing, and maintaining our next-generation real-time video management and physical security services and IoT SaaS platform. You will be a technical leader, responsible for driving architectural decisions, ensuring scalability and security, mentoring other engineers, and tackling our most complex engineering challenges. Your experience in large-scale distributed systems, real-time communication, cloud-native architectures (especially AWS), and cybersecurity best practices will be paramount. This role requires collaboration with the company's presence across various global teams (US East, US West, South Korea, India) to align with the Product Management and Product Engineering Processes. Cloud Expertise Leverage deep knowledge of AWS managed services to build robust, cost-effective, and scalable solutions. Optimize cloud resource utilization and architecture. Database Strategy Design and optimize data models for both SQL and NoSQL databases, ensuring data integrity, performance, and scalability for large datasets. Security Focus Champion and implement cybersecurity best practices based on OWASP Top 10 guidelines. Analyze results from source control analysis and penetration testing, integrating security into the design lifecycle. Protocol Implementation Design, implement, and troubleshoot systems utilizing communication protocols like HTTPS, MQTT, WebSocket, and WebRTC channels. Best Practices & Quality Establish and enforce high standards for software development, including the use of design patterns, comprehensive design documentation, rigorous unit testing, and thorough code reviews. Collaboration Work closely with product managers, DevOps, QA, and other engineering teams to deliver high-quality features and systems in Korea, India, and the US (California, New Jersey). REQUIRED QUALIFICATIONS: Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 15-20+ years of professional software engineering experience, building and operating commercial, large-scale, distributed systems. Proven track record designing and developing real-time systems, specifically within video management services and/or IoT platforms within a SaaS model. Expertise in designing scalable, responsive architectures, including microservices, client-server patterns, and concurrent design. Extensive experience utilizing AWS managed services for building and deploying cloud-native applications. Strong proficiency in Java programming and relevant scripting languages (e.g., Python, Bash). Deep understanding and practical experience with both SQL and NoSQL database technologies, including database modeling and optimization of DynamoDB and RDS/Aurora Deep understanding and practical experience with caching technologies including Redis Deep understanding and practical experience with streaming data pipeline framework including Kafka and Elasticsearch or OpenSearch. In-depth knowledge of cybersecurity principles, OWASP Top 10 vulnerabilities, and experience applying security best practices throughout the development lifecycle. Experience with source control analysis and interpreting penetration testing reports. Hands-on experience implementing and working with communication protocols such as HTTPS, MQTT, WebSocket, and WebRTC, as well as integrating caching solutions like Redis and building streaming data pipelines using Kafka. Expertise in designing scalable and secure RESTful APIs, including API versioning, documentation (OpenAPI/Swagger), and best practices for backward compatibility. Mastery of software engineering best practices: design patterns, multithreading, comprehensive design documentation, unit testing frameworks, code review processes. Demonstrated leadership experience, including leading complex software projects and mentoring engineers. Excellent problem-solving and communication skills. PREFERRED QUALIFICATIONS: Familiarity with video streaming protocols such as RTSP, WebRTC, and Low-Latency HLS. AWS Certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional). Experience with containerization technologies (Docker, Kubernetes). Experience with CI/CD pipelines and infrastructure-as-code (IaC) tools.

A Senior Application Programmer for Mainframe Systems is responsible for leading and/or working on the most complex IT applications design, documentation, development, modification, testing, installation, implementation, and support of new or existing applications software. The Senior Application Programmer for Mainframe Systems is responsible for analyzing and refining systems requirements; translating systems requirements into applications prototypes; planning and designing systems architecture; writing, debugging and maintaining code; determining and designing applications architecture; determining output media/formats; designing user interfaces; working with customers to test applications; assuring software and systems quality and functionality; integrating hardware and software components; writing and maintaining program documentation; evaluating new applications software technologies; and/or ensuring the rigorous application of information security/information assurance policies, principles and practices to the delivery of application software services. Skills Required: The Senior Application Programmer for Mainframe Systems will possess knowledge and experience in applications software development principles and methods sufficient to participate in the design, development, testing and implementation of new or modified applications software; organization's operational environment; software design principles, methods and approaches; principles, methods and procedures for designing, developing, Optimizing and integrating new and/or reusable systems components; pertinent government regulations; infrastructure requirements, database management principles and methodologies, including data structures, data modeling, data warehousing and transaction processing; Functionality and operability of the current operating environment; systems engineering concepts and factors such as structured design, supportability, reliability, scalability and maintainability; optimization concepts and methods; establish and maintain cooperative working relationships with those contacted in the course of the work; and speak and write effectively and prepare effective reports. This classification must have a minimum of seven (7) years of experience in electronic data processing systems design and programming with one or more of the software set forth below. LANGUAGES: COBOL, Natural/ SuperNatural, IMS/DB/DC, DB2/SQL, Assembler, SAS, CICS; MF FOCUS; TOOLS/UTILITIES: MVS JCL, MVS TSO/ISPF, IBM OPTIM, FILE Manager, SPUFI, ICEMAN/ICETOOLS, SORT, VSAM, CLIST, FTP, DYL260/280, CA Gen (CoolGen), CA Endevor, CA Spool, CA OM Web Viewer, IBM Websphere, Debugger, N2O; DATABASES: DB2, IMS, ADABAS, FOCUS; OS: z/OS; OTHER: EntireX, ASP, HTML, Cloverleaf. This classification requires the possession of a bachelor's degree in an IT-related or Computer Science field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.

The Full Stack Developer will modernize, extend, and maintain internal and client-facing software applications, playing a key role in evolving a growing technology ecosystem. This role requires strong full-stack development skills, experience modernizing legacy systems, and the ability to deliver scalable, user-focused solutions. Responsibilities Develop and maintain full-stack web applications using ASP.NET MVC, C#, and .NET Framework/Core. Enhance, refactor, and support legacy systems while maintaining backward compatibility. Design and build Blazor-based micro-applications integrated with MSSQL and third-party APIs. Develop and integrate APIs to support efficient and intuitive user experiences. Participate in code reviews, testing, automation, and performance optimization initiatives. Qualifications 5+ years of professional experience as a Full Stack Developer. Strong proficiency in C#, ASP.NET MVC, and .NET Framework/Core. Experience with Blazor and modern web application architectures. Hands-on experience with MSSQL and API integrations. Familiarity with automation tools, testing practices, and performance tuning. Pay Rate $150-200k

We're seeking a Senior Software Engineer who thrives at the intersection of application development and DevOps. You'll design, build, and deploy scalable SaaS solutions for Medicare and Medicaid health plans, while also contributing to the automation, reliability, and security of our development lifecycle. This role is central to delivering high-quality features for our Compliance, Appeals & Grievances, and Universe Scrubber products. Key Responsibilities: · Application Development Design and implement backend services, APIs, and user interfaces using modern frameworks and cloud-native architecture. Ensure performance, scalability, and maintainability across the stack. · DevOps Integration Collaborate with infrastructure and DevOps teams to build and maintain CI/CD pipelines, automate deployments, and optimize environment provisioning across development, QA, and production. · Cloud-Native Engineering Develop and deploy applications on AWS, leveraging services like Lambda, ECS, RDS, and S3. Ensure solutions are secure, resilient, and compliant with healthcare regulations. · Quality & Compliance Write clean, testable code and participate in peer reviews, unit testing, and performance tuning. Ensure all software adheres to CMS, HIPAA, and internal compliance standards. · AI-Enabled Features Support integration of AI/ML capabilities into product workflows, such as intelligent routing of grievances or automated compliance checks. · Mentorship & Collaboration Provide technical guidance to junior engineers and collaborate with cross-functional teams to translate healthcare business needs into technical solutions. Qualifications: Bachelor's degree in computer science or related field 5+ years of experience in software development, with exposure to DevOps practices Proficiency in languages such as Java, Python, or C#, and experience with cloud platforms (preferably AWS) Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), infrastructure-as-code (e.g., Terraform, Ansible), and containerization (e.g., Docker, Kubernetes) Understanding of healthcare data formats (EDI, HL7, FHIR) and regulatory frameworks

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Senior Software Engineer - Ad Platform Machine Learning We're looking for a Senior Software Engineer to join our Ad Platform Decisioning & Machine Learning Platform team. Our mission is to power the Company's advertising ecosystem with advanced machine learning, AI-driven decisioning, and high-performance backend systems. We build end-to-end solutions that span machine learning, large-scale data processing, experimentation platforms, and microservices-all to improve ad relevance, performance, and efficiency. If you're passionate about ML technologies, backend engineering, and solving complex problems in a fast-moving environment, this is an exciting opportunity to make a direct impact on next-generation ad decisioning systems. What You'll Do Build next-generation experimentation platforms for ad decisioning and large-scale A/B testing Develop simulation platforms that apply state-of-the-art ML and optimization techniques to improve ad performance Design and implement scalable approaches for large-scale data analysis Work closely with researchers to productize cutting-edge ML innovations Architect distributed systems with a focus on performance, scalability, and flexibility Champion engineering best practices including CI/CD, design patterns, automated testing, and strong code quality Contribute to all phases of the software lifecycle-design, experimentation, implementation, and testing Partner with product managers, program managers, SDETs, and researchers in a collaborative and innovative environment Basic Qualifications 4+ years of professional programming and software design experience (Java, Python, Scala, etc.) Experience building highly available, scalable microservices Strong understanding of system architecture and application design Knowledge of big data technologies and large-scale data processing Passion for understanding the ad business and driving innovation Enthusiastic about technology and comfortable working across disciplines Preferred Qualifications Domain knowledge in digital advertising Familiarity with AI/ML technologies and common ML tech stacks Experience with big data and workflow tools such as Airflow or Databricks Education Bachelor's degree plus 5+ years of relevant industry experience Role Scope You'll support ongoing initiatives across the ad platform, including building new experimentation and simulation systems used for online A/B testing. Media industry experience is not required. Technical Environment Java & Spring Boot for backend microservices AWS as the primary cloud environment Python & Scala for data pipelines running on Spark and Airflow Candidates should be strong in either backend microservices or data pipeline development and open to learning the other API development experience is required Interview Process Round 1: Technical & coding evaluation (1 hour) Round 2: Technical + behavioral interview (1 hour) Candidates are assessed on technical strength and eagerness to learn.

Sr. Data Engineer Full Time Direct Hire Job Hybrid with work location-Irvine, CA. The Senior Data Engineer will help design and build a modern data platform that supports enterprise analytics, integrations, and AI/ML initiatives. This role focuses on developing scalable data pipelines, modernizing the enterprise data warehouse, and enabling self-service analytics across the organization. Key Responsibilities • Build and maintain scalable data pipelines using Snowflake, dbt, and Fivetran. • Design and optimize enterprise data models for performance and scalability. • Support data cataloging, lineage, quality, and compliance efforts. • Translate business and analytics requirements into reliable data solutions. • Use AWS (primarily S3) for storage, integration, and platform reliability. • Perform other data engineering tasks as needed. Required Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. • 5+ years of data engineering experience. • Hands-on expertise with Snowflake, dbt, and Fivetran. • Strong background in data warehousing, dimensional modeling, and SQL. • Experience with AWS (S3) and data governance tools such as Alation or Atlan. • Proficiency in Python for scripting and automation. • Experience with streaming technologies (Kafka, Kinesis, Flink) a plus. • Knowledge of data security and compliance best practices. • Exposure to AI/ML workflows and modern BI tools like Power BI, Tableau, or Looker. • Ability to mentor junior engineers. Skills • Snowflake • dbt • Fivetran • Data modeling and warehousing • AWS • Data governance • SQL • Python • Strong communication and cross-functional collaboration • Interest in emerging data and AI technologies

We are seeking a Data Analytics Engineer to join our team who serves as a hybrid Database Administrator, Data Engineer, and Data Analyst, responsible for managing core data infrastructure, developing and maintaining ETL pipelines, and delivering high-quality analytics and visual insights to executive stakeholders. This role bridges technical execution with business intelligence, ensuring that data across Salesforce, financial, and operational systems is accurate, accessible, and strategically presented. Essential Functions Database Administration: Oversee and maintain database servers, ensuring performance, reliability, and security. Manage user access, backups, and data recovery processes while optimizing queries and database operations. Data Engineering (ELT): Design, build, and maintain robust ELT pipelines (SQL/DBT or equivalent) to extract, transform, and load data across Salesforce, financial, and operational sources. Ensure data lineage, integrity, and governance throughout all workflows. Data Modeling & Governance: Design scalable data models and maintain a governed semantic layer and KPI catalog aligned with business objectives. Define data quality checks, SLAs, and lineage standards to reconcile analytics with finance source-of-truth systems. Analytics & Reporting: Develop and manage executive-facing Tableau dashboards and visualizations covering key lending and operational metrics - including pipeline conversion, production, credit quality, delinquency/charge-offs, DSCR, and LTV distributions. Presentation & Insights: Translate complex datasets into clear, compelling stories and presentations for leadership and cross-functional teams. Communicate findings through visual reports and executive summaries to drive strategic decisions. Collaboration & Integration: Partner with Finance, Capital Markets, and Operations to refine KPIs and perform ad-hoc analyses. Collaborate with Engineering to align analytical and operational data, manage integrations, and support system scalability. Enablement & Training: Conduct training sessions, create documentation, and host data office hours to promote data literacy and empower business users across the organization. Competencies & Skills Advanced SQL proficiency with strong data modeling, query optimization, and database administration experience (PostgreSQL, MySQL, or equivalent). Hands-on experience managing and maintaining database servers and optimizing performance. Proficiency with ETL/ELT frameworks (DBT, Airflow, or similar) and cloud data stacks (AWS/Azure/GCP). Strong Tableau skills - parameters, LODs, row-level security, executive-level dashboard design, and storytelling through data. Experience with Salesforce data structures and ingestion methods. Proven ability to communicate and present technical data insights to executive and non-technical stakeholders. Solid understanding of lending/financial analytics (pipeline conversion, delinquency, DSCR, LTV). Working knowledge of Python for analytics tasks, cohort analysis, and variance reporting. Familiarity with version control (Git), CI/CD for analytics, and data governance frameworks. Excellent organizational, documentation, and communication skills with a strong sense of ownership and follow-through. Education & Experience Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field. 3+ years of experience in data analytics, data engineering, or database administration roles. Experience supporting executive-level reporting and maintaining database infrastructure in a fast-paced environment.

Job Title: Data Engineer Duration: Direct-Hire Opportunity We are looking for a Data Engineer who is hands-on, collaborative, and experienced with Microsoft SQL Server, Snowflake, AWS RDS, and MySQL. The ideal candidate has a strong background in data warehousing, data lakes, ETL pipelines, and business intelligence tools. This role plays a key part in executing data strategy - driving optimization, reliability, and scalable BI capabilities across the organization. It's an excellent opportunity for a data professional who wants to influence architectural direction, contribute technical expertise, and grow within a data-driven company focused on innovation. Key Responsibilities Design, develop, and maintain SQL Server and Snowflake data warehouses and data lakes, focusing on performance, governance, and security. Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS. Build and enhance ETL pipelines using tools such as Snowpipe, DBT, Boomi, SSIS, and Azure Data Factory. Utilize data tools such as SSMS, Profiler, Query Store, and Redgate for performance tuning and troubleshooting. Perform database administration tasks, including backup, restore, and monitoring. Collaborate with Business Intelligence Developers and Business Analysts on enterprise data projects. Ensure database integrity, compliance, and adherence to best practices in data security. Configure and manage data integration and BI tools such as Power BI, Tableau, Power Automate, and scripting languages (Python, R). Qualifications Proficiency with Microsoft SQL Server, including advanced T-SQL development and optimization. 7+ years working as a SQL Server Developer/Administrator, with experience in relational and object-oriented databases. 2+ years of experience with Snowflake data warehouse and data lake solutions. Experience developing pipelines and reporting solutions using Power BI, SSRS, SSIS, Azure Data Factory, or DBT. Scripting and automation experience using Python, PowerShell, or R. Familiarity with data integration and analytics tools such as Boomi, Redshift, or Databricks (a plus). Excellent communication, problem-solving, and organizational skills. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Technical Skills SQL Server / Snowflake / MySQL / AWS RDS ETL Development (Snowpipe, SSIS, Azure Data Factory, DBT) BI Tools (Power BI, Tableau) Python, R, PowerShell Data Governance & Security Best Practices Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Employment Type: Full-Time, Direct Hire (W2 Only - No sponsorship available) About the Role We're seeking a skilled and driven ServiceNow CMDB Engineer to join our team in Irving, TX. This is a hands-on, onsite role focused on designing, implementing, and maintaining a robust Configuration Management Database (CMDB) aligned with ServiceNow's Common Service Data Model (CSDM). You'll play a critical role in enhancing IT operations, asset management, and service delivery across the enterprise. Responsibilities Architect, configure, and maintain the ServiceNow CMDB to support ITOM and ITAM initiatives Implement and optimize CSDM frameworks to ensure data integrity and alignment with business services Collaborate with cross-functional teams to define CI classes, relationships, and lifecycle processes Develop and enforce CMDB governance, data quality standards, and reconciliation rules Integrate CMDB with discovery tools and external data sources Support audits, compliance, and reporting requirements related to ITIL processes Troubleshoot and resolve CMDB-related issues and performance bottlenecks Qualifications 3+ years of hands-on experience with ServiceNow CMDB and CSDM implementation Strong understanding of ITIL practices and ITOM/ITAM modules Proven ability to manage CI lifecycle and maintain data accuracy Experience with ServiceNow Discovery, Service Mapping, and integrations ServiceNow Certified System Administrator (CSA) or higher certifications preferred Excellent communication and documentation skills Must be authorized to work in the U.S. without sponsorship Perks & Benefits Competitive compensation package Collaborative and innovative work environment Opportunity to work with cutting-edge ServiceNow technologies

L·Garde is a full-service design, development, manufacturing, and qual test supplier to Tier 1 primes and government agencies. We provide systems engineering and skilled technicians to make your make your Skunk Works-type project a reality. With over 50 years of aerospace expertise, our deployable systems test the limits of what's possible in the harshest of environments in space, on the moon, and even on other planets. If you're an engineer who thrives on teamwork, clear communication, and seeing your work translate into cutting-edge aerospace solutions, we'd love to talk to you. A Day in the Life: We're looking for a Systems Engineer who is passionate about solving complex challenges in aerospace and enjoys working closely with others to make big ideas a reality. In this role, you'll help transform mission requirements into fully engineered space systems, balancing technical performance, schedule, and cost. You'll collaborate across disciplines-design, test, integration, and program management-to ensure our spacecraft and payload systems meet the highest standards of innovation and reliability. Key Responsibilities: Lead systems engineering activities across the project lifecycle, from concept through delivery. Develop and maintain system requirements, CONOPS, ICDs, and risk matrices. Support Verification & Validation (V&V) efforts and create and maintain Model Based Systems Engineering (MBSE) models. Partner with engineers, technicians, suppliers, and customers to resolve issues and ensure requirements are met. Write and review test plans, procedures, and reports; analyze and post-process test data. Contribute to design trade studies and product development planning. Participate in major design reviews (SRR, PDR, CDR, TRR) and customer meetings. Support proposal writing for advanced aerospace concepts. Maintain a safe, clean, and organized work area by following 5S and safety guidelines. Who You Are: You have a Bachelor's degree in engineering, science, or related technical field. 2-4 years of satellite systems engineering experience with DoD, NASA, or commercial space programs. At least 2 years in management, project leadership, or team leadership roles. Proficiency with requirements tracking and management. Proficiency with Model Based Systems Engineering and requirements tracking tools such as CAMEO and DOORS is a plus. Systems Engineers will be expected to have completed training for these tools within the 1st year. Hands-on experience with hardware/software interfaces, aerospace drawings, and GD&T standards. Exposure to SolidWorks CAD, FEA, Matlab, Thermal Desktop, CFD (Star CCM+), or LabView preferred The ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. Top Secret Security Clearance a plus. Excellent written and verbal communication skills. Strong interpersonal skills with the ability to collaborate across all levels of the organization. Detail-oriented, organized, and adaptable in a fast-paced environment. Strong problem-solving mindset and passion for working in a team-driven culture. What We Offer: Be at the forefront of aerospace innovation by working on cutting-edge aerospace technologies. Opportunity to wear multiple hats and grow your skill set. Collaborative and inclusive work culture where your contributions are highly valued. Competitive salary Top-Tiered Benefits, 100% of both employee and dependents are covered by the company = Medical, Dental, Vision Flexible Spending Account Retirement and Company Match Company-Sponsored Life and LTD Insurance Generous Paid Time Off Policy with up to 4 weeks in the first year. Robust Paid Holiday Schedule Pay range: $110,000.00 - $145,000.00 per year Join our team as an Aerospace Systems Engineer II and contribute to the advancement of aerospace innovation by taking on diverse, impactful projects in a collaborative environment, where your contributions are valued and your growth is fostered through hands-on experience. L·Garde is an equal opportunity employer, including individuals with disabilities and veterans, and participates in the E-Verify Program.

Robert Half is partnering with a well known brand seeking an experienced Data Engineer with Databricks experience. Working alongside data scientists and software developers, you'll work will directly impact dynamic pricing strategies by ensuring the availability, accuracy, and scalability of data systems. This position is full time with full benefits and 3 days onsite in the Woodland Hills, CA area. Responsibilities: Design, build, and maintain scalable data pipelines for dynamic pricing models. Collaborate with data scientists to prepare data for model training, validation, and deployment. Develop and optimize ETL processes to ensure data quality and reliability. Monitor and troubleshoot data workflows for continuous integration and performance. Partner with software engineers to embed data solutions into product architecture. Ensure compliance with data governance, privacy, and security standards. Translate stakeholder requirements into technical specifications. Document processes and contribute to data engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 4+ years of experience in data engineering, data warehousing, and big data technologies. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Must have experience in Databricks. Experience working within Azure or AWS or GCP environment. Familiarity with big data tools like Spark, Hadoop, or Databricks. Experience in real-time data pipeline tools. Experienced with Python

City: Glendale, CA Onsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote) Duration: 12 months Rate Range: Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • 5+ years Data Engineering • Airflow • Spark DataFrame API • Databricks • SQL • API integration • AWS • Python or Java or Scala Responsibilities: • Maintain, update, and expand Core Data platform pipelines. • Build tools for data discovery, lineage, governance, and privacy. • Partner with engineering and cross-functional teams to deliver scalable solutions. • Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows. • Support platform standards, best practices, and documentation. • Ensure data quality, reliability, and SLA adherence across datasets. • Participate in Agile ceremonies and continuous process improvement. • Work with internal customers to understand needs and prioritize enhancements. • Maintain detailed documentation that supports governance and quality. Qualifications: • 5+ years in data engineering with large-scale pipelines. • Strong SQL and one major programming language (Python, Java, or Scala). • Production experience with Spark and Databricks. • Experience ingesting and interacting with API data sources. • Hands-on Airflow orchestration experience. • Experience developing APIs with GraphQL. • Strong AWS knowledge and infrastructure-as-code familiarity. • Understanding of OLTP vs OLAP, data modeling, and data warehousing. • Strong problem-solving and algorithmic skills. • Clear written and verbal communication. • Agile/Scrum experience. • Bachelor's degree in a STEM field or equivalent industry experience.

Key Responsibilities Design develop and maintain ELT pipelines using Snowflake and DBT Build and optimize data models in Snowflake to support analytics and reporting Implement modular testable SQL transformations using DBT Integrate DBT workflows into CICD pipelines and manage infrastructure as code using Terraform Collaborate with data scientists analysts and business stakeholders to translate requirements into technical solutions Optimize Snowflake performance through clustering partitioning indexing and materialized views Automate data ingestion and transformation workflows using Airflow or similar orchestration tools Ensure data quality governance and security across pipelines Troubleshoot and resolve performance bottlenecks and data issues Maintain documentation for data architecture pipelines and operational procedures Required Skills Qualifications Bachelors or Masters degree in Computer Science Data Engineering or related field 10 years of experience in data engineering with at least 3 years focused on Snowflake and DBT Strong proficiency in SQL and Python Experience with cloud platforms AWS GCP or Azure Familiarity with Git CICD and Infrastructure as Code tools Terraform CloudFormation Knowledge of data modeling star schema normalization and ELT best practices

BCforward is seeking a highly motivated and experienced Thermal Engineer to join our dynamic team in Los Angeles, CA Thermal Engineer Work Arrangement: (100% Onsite) Duration: 3+ months (Possible Extension). Basic qualifications Bachelor's degree in mechanical engineering or related discipline, or equivalent experience. 3+ year experience with Thermal Desktop (SINDA) and/or Ansys thermal analysis tools (ICEPAK. Fluent, mechanical, etc.) 2+ year experience with test planning, test set-up (thermocouple and heater installation), operating DAQ and power supplies, results correlation and system verification for production Experience in documentation and writing test reports. Preferred qualifications Experience with avionics thermal design and analysis. CAD skills (NX or Solidworks). Experience with interpreting and correlating test data to thermal models. Specifics tasks that this individual will support are as follows: Provide design inputs to the mechanical and electrical teams. Complete thermal modeling analysis using Ansys analysis tools. Develop comprehensive thermal analysis documentation Develop thermal testing and qualification plan. Conduct thermal testing and model validation. Perform trade studies to select architecture of the electronic enclosures. Preliminary thermal analysis of printed circuit board assemblies. Collaborate with design team to develop preliminary designs. Define and execute development testing.

We are a long established Southern California Managed Service Provider supporting SMB clients across Los Angeles and Orange County with proactive IT, cybersecurity, cloud solutions, and hands on guidance. Our team is known for strong client relationships and clear communication, and we take a steady, service first approach to solving problems the right way. We are hiring a Tier 3 Systems Engineer to be the L3 escalation point and technical backstop for complex issues across diverse client environments. This role requires previous MSP experience and is ideal for someone who enjoys deep troubleshooting, ownership, and helping reduce repeat issues by getting to root cause. Expect about 75 percent escalations and 25 percent project work tied to recurring client needs. What You Will Do • Own Tier 3 escalations across servers, networking, virtualization, and Microsoft 365 • Troubleshoot deeply and drive root cause fixes • Handle SonicWall, VLAN, NAT, and site to site VPN work • Support Windows Server AD, GPO, DNS, DHCP • Support VMware ESXi vSphere and Hyper V • Lead Microsoft 365 escalations and hardening • Document clearly and communicate client ready updates What You Bring • 5 plus years MSP experience supporting multiple client environments • Strong troubleshooting and escalation ownership • SonicWall plus strong VLAN and VPN skills • Windows Server 2012 to 2022 • VMware and or Hyper V • Microsoft 365 plus Intune fundamentals • Azure and Entra ID security configuration • ConnectWise Command and ConnectWise Manage preferred Location, Pay, and Benefits • $95,000 to $105,000 DOE • Hybrid after onboarding • Medical, dental, vision • 401k with 3% company match • PTO and sick time plus paid holidays • Mileage reimbursement

We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions. Responsibilities: Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data. Design and enhance data warehouse models (star/snowflake schemas) and BI datasets. Optimize data workflows for performance, scalability, and reliability. Collaborate with BI teams to support dashboards, reporting, and analytics needs. Ensure data quality, governance, and documentation across all solutions. Qualifications: Proven experience with data engineering tools (SQL, Python, ETL frameworks). Strong understanding of BI concepts, reporting tools, and dimensional modeling. Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus. Excellent problem-solving skills and ability to work in a cross-functional environment.

In Orbit envisions a world where our most critical resources are accessible when we need them the most. Today, In Orbit is on a mission to provide the most resilient and autonomous cargo delivery solutions for regions suffering from conflict and natural disasters. Descent Systems Engineer: In Orbit is looking for a Descent Systems Engineer eager to join a diverse and dynamic team developing solutions for cargo delivery where traditional aircraft and drones fail. As a Descent Systems Engineer at In Orbit you will work on the design, development, and testing of advanced parachutes and decelerator systems. You will work with other engineers on integrating decelerator subsystems into the vehicle. The ideal candidate for this position will have experience manufacturing and testing parachute systems, a solid foundation of aerodynamic and mechanical design principles as well as flight testing experience. Responsibilities: Lead the development of parafoils, reefing systems, and other decelerator components. Develop fabrication and manufacturing processes including material selection, patterning, sewing, rigging, and hardware integration. Plan and conduct flight tests including drop tests, high-altitude balloon tests, and other captive-carry deployments. Support the development of test plans, procedures, and instrumentation requirements to verify system performance. Collaborate closely with mechanical, avionics, and software teams for vehicle-level integrations Own documentation and configuration management for parachute assemblies, manufacturing specifications, and test reports. Basic Qualifications: Bachelor's Degree level of education in Aerospace Engineering or similar curriculum. Strong understanding of aerodynamics, drag modeling, reefing techniques, and dynamic behaviors of decelerators Experience with reefing line cutting systems or multi-stage deployment mechanisms Experience conducting ground and flight tests for decelerator systems, including test planning, instrument integration, data analysis, and anomaly investigation. Expertise with textile materials (e.g., F-111, S-P fabric, Kevlar, Dyneema). Ability to work hands-on with sewing machines and ground test fixtures. Solid teamworking and relationship building skills with the ability to effectively communicate difficult technical problems and solutions with other engineering disciplines. Preferred Experience and Skills: Experience with guided parachute systems. Familiarity with FAA coordination for flight testing in and out of controlled airspace. Experience with pattern design tools such as SpaceCAD, Lectra Modaris, or similar. Additional Requirements: Willing to work extended hours as needed Able to stand for extended periods of time Able to occasionally travel (~25%) and support off-site testing. ITAR Requirements: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.