Senior Systems Engineer jobs at DirectViz Solutions - 7835 jobs

San Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

San Francisco Bay Area, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings. The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product-critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross‑functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Silicon. You will join a team that spans data, modeling, evaluation, deployment and collaborate with engineers across ML infrastructure, inference, and framework teams. You will write production‑level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter‑teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/evaluation library such as HuggingFace transformers, lm evaluation harness, Megatron‑LM Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A technology industry leader in California is seeking a Product Definition Engineer to evaluate and optimize pre-production silicon. The successful candidate will work with multi-functional teams, driving new feature initiatives and designing performance-critical product features. Ideal candidates will have significant engineering experience and collaborative skills. The role offers a salary range of 168,000 - 264,500 USD depending on level, alongside equity and benefits. #J-18808-Ljbffr

We are seeking an experienced Systems Administrator with 3+ years of hands-on Yardi experience to support and optimize technology platforms within a property management environment. Key Responsibilities Administer, support, and optimize Yardi (Voyager and related modules) for property management, accounting, leasing, and operations teams. Serve as a primary technical point of contact for Yardi-related issues, configurations, upgrades, integrations, and user support. Partner with Finance, Accounting, and Property Management to troubleshoot system issues, improve workflows, and support month-end and reporting processes. Manage user access, roles, security settings, and data integrity within Yardi. Coordinate with Yardi support and third-party vendors to resolve incidents, manage enhancements, and support system upgrades. Support related systems and integrations, including document management, reporting tools, and banking or payment platforms. Assist with system documentation, process improvements, and user training. Monitor system performance, availability, and security in alignment with IT best practices. Required Qualifications 3+ years of hands-on experience administering and supporting Yardi in a production environment. Property management industry experience is required (commercial, residential, mixed-use, or retail). Strong understanding of property management and accounting workflows (AP, AR, GL, CAM, lease administration). Excellent troubleshooting, communication, and customer service skills. Preferred / Nice-to-Have Experience with Microsoft SQL Server (queries, reporting, data validation, performance troubleshooting). Familiarity with Yardi integrations, reporting tools, or data extracts.

Sunnyvale, California, United States Machine Learning and AI Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered features such as Face ID, RoomPlan as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, pioneering experiences. Come shape Apple products as a driven and dedicated ML Infrastructure and Data Engineer to push the limits of ML algorithms with hands‑on work and real world and simulated data, in an innovative team and be part of building the next big thing. Description As part of the Video Computer Vision (VCV) team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you'll have the opportunity to work on complex problems in close partnership with our ML engineers, data scientists and software integration teams. Minimum Qualifications Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. Strong foundational knowledge in Computer Science. Extensive programming experience in Python. Hands‑on experience with cloud providers (AWS, GCP, or Azure). Strong understanding of core infrastructure concepts (e.g., compute, networking, storage, containers, Kubernetes). Preferred Qualifications Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Ray, Spark, Trino). Hands‑on experience with CI/CD pipelines and practices. Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform, Pulumi, or CloudFormation). Experience building on LLMs or other generative models. Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery. Excellent communication skills, ability to work both independently and multi‑functionally. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr

A healthcare technology company is seeking a Research Engineer to enhance ML infrastructure for medical imaging. You will manage data pipelines and contribute to production-ready systems. Ideal candidates have 3+ years' experience in production ML systems, strong Python skills, and familiarity with cloud technologies. This role involves collaboration with researchers and rapid prototype development. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a creative engineer to enhance the iOS and iPadOS user experience on the Notifications and Focus team. Responsibilities include defining, designing, and implementing innovative features, fixing bugs, and improving performance. The ideal candidate should hold a Bachelor in Computer Science, demonstrate ownership, communication skills, and experience with UIKit or SwiftUI. Competitive compensation and comprehensive benefits are offered, including employee stock programs. #J-18808-Ljbffr

A leading technology company is looking for a Machine Learning Infrastructure Engineer in Sunnyvale, California. You will develop data ecosystems and infrastructure for ML projects, partnering closely with engineers and scientists. Candidates should have a Bachelor's in Computer Science and experience with cloud providers, as well as strong programming skills in Python. This is an opportunity to be a part of innovative projects that influence the next generation of technology. #J-18808-Ljbffr

A tech company in San Francisco is seeking an innovative AI Engineer to design and integrate cutting-edge AI capabilities. The ideal candidate will have over 2 years of experience, proficiency in AI/ML, and strong communication skills. This role involves collaborating with teams, developing AI systems, and addressing scalability challenges in a fast-paced environment. The team operates on-site in San Francisco five days a week. #J-18808-Ljbffr

A global consulting firm seeks a Principal Consultant for Payments Transformation to lead a strategic initiative on High-Value Payments for a financial institution. Ideal candidates possess extensive payments domain experience and proven program management skills, specifically in transforming legacy systems and working with complex payment architectures. The role requires strong stakeholder engagement and a solid understanding of regulations. Competitive salary range is between $168,000 and $234,000 annually, with generous benefits including health insurance and 401(k) contributions. #J-18808-Ljbffr

Stytch is the platform for user authentication and anti-fraud tooling. We make it simple for developers to build complex authentication flows in minutes. We're looking for an experienced Solutions Engineer who thrives on educating, problem-solving, and building relationships with developers at industry leading companies. In this role, you will be responsible for understanding the needs of our customers, communicating solution designs, and leading technical evaluations. Throughout that path, you'll be serving as the auth subject matter expert with our customer's engineering team to drive a smooth and speedy evaluation. This is a hybrid, full-time position based in the SF Bay Area. We aren't looking for someone to be in-office 5 days per week, but are looking for someone who is excited to collaborate in-person on a weekly basis (2-3 days per week in-office). What Excites You A collaborative environment, working with prospective customers and internal teams to push our product forward Serving as a confident technical resource and voice for our customers Learning - our product suite and problem space is continually evolving, and staying on top of those changes is critical to success Building strong relationships with prospective customers to ensure a successful evaluation What Excites Us Demonstrated ability to communicate credibly and effectively at all levels; everyone from a CTO to a software engineer Grit - tenacity, curiosity, and drive to find the solution that works for customers and collaborate closely with engineering and product to give feedback and push for new features when needed Ability to read and write code - our product and customers are highly technical and we often share example apps and code snippets to help them understand our product Familiarity with modern web services and APIs. Experience with authentication protocols (SAML/OAuth), MFA, IdP is a bonus Enthusiasm to work in a high-growth environment and to help build processes and tools as needed Want You'll Do Lead technical customer conversations to identify, qualify and address customers' authentication use cases, requirements and constraints Collaborate with the sales team to demonstrate the business and technical value of Stytch Lead technical demos and POCs of Stytch's authentication platform Codify learnings from customer deployments into repeatable implementation methodologies and playbooks Develop technical domain expertise of authentication and authorization concepts and policies such as SAML, OIDC, and OAuth Partner with our Product organization to help shape our roadmap based on prospect and customer feedback, challenges and growth drivers Expected on-target earnings (OTE) for this position is between $140,000 - $180,000 with a base/variable split of 80%/20%. The anticipated OTE range is not inclusive of full benefits including equity, health care insurance, time off, paid parental leave, etc. We're looking to hire a GREAT team and that means hiring people who are highly empathetic, ambitious, and excited about building the future of user authentication. You should feel empowered to apply for this role even if your experience doesn't exactly match up to our job description. We are committed to building a diverse, inclusive, and equitable workspace where everyone feels like they belong. We look forward to hearing from you. Stytch participates in e-verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the United States. #J-18808-Ljbffr

Okta# Senior Database Reliability Engineer (DBRE) San Francisco, California**Get to know Okta**Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you.Senior Database Reliability Engineer (DBRE) Experience Level: Mid-Senior (4+ years PostgreSQL experience) About the RoleWe are looking for a highly skilled Database Reliability Engineer (DBRE) with deep expertise in PostgreSQL at scale and solid experience with MySQL. In this role, you will design, operationalize, and optimize the data persistence layer that powers our large-scale, mission-critical systems. You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment.**This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.**Responsibilities:Architecture, Reliability & Performance* Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).* Optimize query performance, indexing strategies, schema design, and storage engines.* Perform capacity planning, growth forecasting, and workload modeling.* Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.Automation & Tooling* Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.* Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.Operations & Incident Response* Lead response during database incidents-performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.* Conduct root-cause analysis and implement permanent fixes.Cross-Functional Collaboration* Partner with software engineers to review SQL, optimize schemas, and ensure efficient use of PostgreSQL features.* Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.Required Qualifications* 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.* Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).* Production experience with MySQL (InnoDB internals, replication, performance tuning).* Advanced SQL and strong understanding of schema design and query optimization.* Experience with Linux systems, networking fundamentals, and systems troubleshooting.* Experience building automation with Go or Python.* Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg\_stat\_statements, etc.).* Hands-on experience with cloud environments (AWS or GCP).Preferred/Bonus Qualifications* Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.* Exposure to event streaming (Kafka, Debezium) and change data capture.* Experience supporting 24/7 production environments with on-call rotation.* Contributions to open-source PostgreSQL ecosystem.**This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.****Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.**#LI-Hybrid#LI-LSS1**requisition ID-** P5979\_3307978The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $152,000-$228,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: . The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$136,000-$204,000 USD**What you can look forward to as a Full-Time Okta employee!*** Amazing* Making* DevelopingOkta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta. Some roles may require travel to one of our office locations for in-person onboarding.Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at Individuals seeking employment at this company are considered without regards to race, color, religion,national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, genderidentity, or sexual orientation. When submitting your application above, you are being given theopportunity to provide information about your race/ethnicity, gender, and veteran status.Completion of the form is entirely **voluntary**. Whatever your decision, it will not beconsidered in the hiring process or thereafter. Any information that you do provide will be recorded andmaintained in a confidential file.If you believe you belong to any of the categories of protected veterans listed below, please indicate bymaking the appropriate selection. As a government contractor subject to Vietnam Era Veterans ReadjustmentAssistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreachand positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air servicewho is entitled to compensation (or who but for the receipt of military retired pay would be entitled tocompensation) #J-18808-Ljbffr

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine‑tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast‑growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth‑stage companies. We are backed by tier 1 investors and growing quickly. What makes our tech special is our multi‑stage architecture: Layout understanding with specialized component detection models Low‑latency OCR models for targeted extraction Advanced reading‑order algorithms for complex structures Proprietary table structure recognition and parsing Fine‑tuned vision‑language models for charts, tables, and figures If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence. What we are looking for 5 days in‑office at our San Francisco office Eager to learn and adapt quickly Prior startup or founding experience is a plus About the Role As a Solutions Engineer at Pulse, you will work at the intersection of customer deployments and core engineering. You will help design, deploy, and operate Pulse in real production environments, often inside customer infrastructure, with a strong focus on reliability, performance, and accuracy. This role is hands‑on and technical. You will work closely with customer engineering teams while partnering with Pulse's platform, ML, and product teams to ensure successful deployments and continuous improvements. Responsibilities Deploy, operate, and debug Pulse services in Kubernetes‑based environments Work directly with customers to support production rollouts, pilots, and ongoing operations Configure and optimize extraction pipelines, schemas, and validation workflows Diagnose accuracy, latency, and infrastructure issues across distributed systems Build internal tools and customer‑facing utilities in Python to support deployments Support API integrations, webhooks, and downstream data delivery workflows Collaborate with core engineering to surface product gaps and improve platform reliability Own operational excellence for customer‑facing deployments, including monitoring and incident response Requirements 2+ years building and operating production systems, new grads with strong infra experience considered Strong experience with Kubernetes, including deploying, debugging, and operating services in production Proficiency in Python for backend services, tooling, and automation Experience working with APIs, distributed systems, and asynchronous workflows Comfort working directly with customer engineering teams on technical deployments Strong debugging skills across application, infrastructure, and data layers Clear written and verbal communication, with a bias toward ownership and execution Nice to have Experience running workloads on AWS, GCP, or Azure Familiarity with Docker, Helm, Terraform, or similar tooling Experience with observability tooling (metrics, logs, tracing) Background in data infrastructure, ML platforms, or document processing systems Sponsorship Sponsorship available. Compensation and benefits Competitive base salary plus equity, performance‑based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage. #J-18808-Ljbffr

A dynamic tech firm in San Francisco is seeking a Solutions Engineer to bridge customer deployments and engineering operations. This role focuses on deploying and operating the Pulse service within customer environments, emphasizing reliability and accuracy. Ideal candidates will have over 2 years of experience with Kubernetes and Python, with strong skills in debugging and working directly with customers. Competitive compensation, including salary and benefits, is offered. #J-18808-Ljbffr

A leading technology firm is looking for a Senior Container Infrastructure Consultant to design implementations of OpenShift infrastructure projects. This remote role requires strong expertise in Kubernetes, cloud platforms, and container technologies. Ideal candidates will have a strong background in Linux, networking, and automation, along with excellent communication skills to collaborate with clients across various industries. #J-18808-Ljbffr

A leading cybersecurity firm in San Diego is seeking a Sales Engineer - Technical Lead to collaborate with the sales team in developing account strategies. This role requires over 6 years of technical experience, particularly within cybersecurity, and a proven ability to manage customer relationships effectively. You will conduct product demonstrations, assist in planning proof-of-concept evaluations, and design comprehensive security solutions. This position also involves extensive travel and offers competitive compensation along with a flexible work environment. #J-18808-Ljbffr

A cybersecurity company is seeking a Sales Engineer - Technical Lead (Pre-Sales) to enhance customer relationships and deliver tailored technical solutions. The role requires 6+ years of relevant experience, strong technical knowledge in cybersecurity, and proven skills in customer engagement. Candidates should be able to present complex security solutions, ideally to enterprise clients. A degree in a relevant field and ability to travel are essential. The position is based in San Francisco or southern California. #J-18808-Ljbffr

A leading aerospace technology firm in Washington seeks a HIL Integration Engineer to drive integration and testing of AI solutions. This role involves designing Hardware-In-The-Loop systems, sensor integration, and creating automated testing tools. Candidates should have 7+ years of hands-on engineering experience, proficiency in Python or C++, and the ability to obtain a SECRET clearance. The position offers competitive compensation ranging from $140,000 to $210,000 annually, along with a full-time employee benefits package including bonuses and equity. #J-18808-Ljbffr