Technical Support Engineer jobs at Datadog - 7488 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

A leading data and AI company is looking for a Staff Technical Solutions Engineer with expertise in Apache Spark™. You will provide technical consulting and troubleshooting support to resolve complex issues for customers. The ideal candidate will have over 10 years of experience in software development and deep knowledge of Spark and associated technologies. This role emphasizes customer communication skills, innovative problem-solving, and the ability to work in a fast-paced environment with high expectations of support. #J-18808-Ljbffr

Staff Technical Solutions Engineer (Apache Spark™) Bengaluru, India As a Spark Staff Technical Solutions Engineer, you will provide deep‑dive technical and consulting‑related solutions for challenging Apache Spark™, ML, AI, Delta, Streaming, and Lakehouse issues reported by our customers and resolve any challenges involving the Databricks unified analytics platform with your highly comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide guidance, knowledge, and expertise that they need to realize value and achieve their strategic objectives. Outcomes Perform initial level analysis and troubleshooting of Apache Spark™ issues using Spark UI metrics, DAG, event logs for job slowness issues. Troubleshoot, resolve, and suggest deep code‑level analysis of Spark to address issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other Databricks runtime features. Assist customers in setting up reproducible Spark problems with solutions in Spark SQL, Delta, memory management, performance tuning, streaming, data science, and data integration. Contribute to the development of tools and automation initiatives. Participate in the Designated Solutions Engineer program and drive day‑to‑day Spark and cloud issues for strategic customers. Provide best‑practice guidance on Spark runtime performance and use of Spark core libraries and APIs for custom‑built solutions. Provide front‑line support on third‑party integrations with the Databricks environment. Plan and coordinate with Account Executives, Customer Success Engineers, and Resident Solution Architects to address customer issues. Participate in screen‑sharing meetings, Slack conversations, and drive major Spark issues at an individual contributor level. Review Engineering JIRA tickets and proactively brief support leadership on action items. Manage assigned Spark cases daily and adhere to committed SLAs. Build internal wiki and knowledge base articles for the support team and customers. Achieve expectations of support organization KPIs. Coordinate with Engineering and Backline Support teams to identify and report product defects. Be a true proponent of customer advocacy. Participate in weekend and weekday on‑call rotation, run escalations during outages, and handle critical operational issues. Strengthen AWS/Azure and Databricks platform expertise through continuous learning. Competencies 10+ years of experience designing, building, testing, and maintaining Python/Java/Scala applications in delivery and consulting environments. 6+ years of hands‑on experience in at least two or more Big Data, Hadoop, Apache Spark™, Machine Learning, AI, Streaming, Kafka, or Data Science use cases at production scale. Spark experience is mandatory. Hands‑on experience in performance tuning/troubleshooting of Hive and Spark applications at production scale. Proven real‑time experience in JVM and memory‑management techniques such as garbage collection, heap/thread‑dump analysis. Working knowledge of data lakes and SCD‑type use cases at production scale. Hands‑on experience with SQL‑based databases, data‑warehousing/ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, or MySQL. Linux/Unix administration skills is a plus. Hands‑on experience with AWS, Azure, or GCP is preferred. Excellent written and oral communication skills. Demonstrated analytical and problem‑solving skills in a distributed big‑data computing environment. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50 % of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Databricks Benefits Portal. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

The Platform Engineering & Emerging Technology (PEET) Amazon Dedicated Cloud team is hiring for a System Development Engineer to support CloudTrail, AWS Config, and other AWS services! You'll design, deploy, monitor, and automate infrastructure, tools, and systems to provide a highly‑available and resilient platform for our customers' and our team's workloads. Would you like to implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to build a better world for future generations? This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. AWS established a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. We are building some of the largest and most complex distributed systems in the world, and we need adaptable people to help us implement and operate them. The PEET team supports the operations of the CloudTrail, AWS Config, and other AWS services in ADC regions and builds the services in new ADC regions and features. This specific role will also support our development team, which creates solutions to solve ADC builder and customer pain points. We are seeking a talented engineer skilled in the art of integration who understands the Agile mindset and DevOps philosophies, yet is not constrained by how “things are usually done” and is willing to decompose and reinvent systems, processes, and tools. We're looking for an experienced builder to solve problems for some of the largest compliance and governance services on the planet; if you possess that rare mix of depth in Operations, Networking, and Systems Engineering then we are waiting for your application. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key Responsibilities Design, deploy, monitor, and automate infrastructure, tools, and systems to provide a highly‑available and resilient platform for our customers' and our team's workloads. Perform on‑call responsibilities, typically one week in every eight. Work to ensure that systems are fault tolerant and resolve root causes to prevent repeated paging. A Day in the Life You'll roughly spend 50 % of your time operating production systems and 50 % making long‑term improvements to the reliability, availability, and performance of those software systems. An example week could look like: Monday morning you root‑cause why some deployments recently failed, and in the afternoon you fixed those bugs. Tuesday you realized there's a common thread to those bug fixes yesterday, and designed a solution to that class of problem; you sought feedback from your team. Wednesday you investigated a Service Level Objective (SLO) that recently became less useful, dug deep and updated the threshold and infrastructure as code to fix it. Thursday and Friday you continued the design and prototype for a new solution you pitched to automate dependency analysis and testing in region. Basic Qualifications 2 + years of non‑internship professional software development experience. 1 + years of designing or architecting design patterns, reliability, and scaling of new and existing systems. 3 + years of administrative experience in networking, storage systems, operating systems and hands‑on systems engineering. Experience programming with at least one modern language such as Java, Python, Golang, PowerShell, or Ruby. Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications Experience automating, deploying, and supporting large‑scale infrastructure. Experience with CI/CD pipelines, build processes. Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Compensation ranges from $116,300 to $201,200 per year, depending on location and experience. Base pay is complemented by equity, sign‑on payments, and benefits. #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

Professional Services - System Support Engineer page is loaded## Professional Services - System Support Engineerlocations: İstanbul, Türkiyetime type: Full timeposted on: Posted Todaytime left to apply: End Date: January 31, 2026 (30+ days left to apply)job requisition id: R-112917**It's fun to work in a company where people truly BELIEVE in what they're doing!**Job Description:Ingram Micro is a leading technology company for the global information technology ecosystem.With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to businesses-to-business technology experts.Our market reach, diverse solutions and services portfolio and digital platforms Ingram Micro Xvantage set us apart.### **Roles and Responsibilities**- Installing and configuring internal systems and infrastructures.- Diagnosing and resolving hardware and software-related technical issues.- Responding to end-user support requests and providing technical assistance.- Planning system updates and upgrades in line with client requirements.- Performing regular maintenance and system checks to ensure operational continuity.### **Qualifications**- Bachelor's degree in Computer Engineering, Electronics Engineering, or a related field.- Hands-on experience with the installation and management of Dell and HP servers and storage systems.- Knowledge of hyper-converged systems, SAN, virtualization technologies, and virtual system management.- Proficiency in technical English, especially for understanding documentation.- Strong problem-solving and analytical thinking skills; effective communication and team collaboration abilities.###locations: İstanbul, Türkiyetime type: Full timeposted on: Posted 30+ Days AgoIt's no surprise that technology powers the planet. But what might surprise you is that Ingram Micro has the ability to reach more than 90% of the global population. By joining us, you make Ingram Micro's contribution a reality: helping businesses grow, #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 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 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 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

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

A leading IT services provider is seeking a Tech Bar Analyst in San Francisco. The role involves assessing and resolving employee requests related to hardware and software issues. Candidates should possess a bachelor's degree and have over 5 years of relevant experience. Strong communication skills and the ability to support multiple OS environments, particularly MacOS, are essential. Comprehensive benefits including medical and paid time off are offered alongside a competitive salary between $50,000 and $55,000 annually. #J-18808-Ljbffr

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #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 global hedge fund in Seattle is seeking a Quantitative Developer to build critical trading infrastructure. You will collaborate with quantitative researchers and senior portfolio managers to optimize systems for trading strategies across global futures and equities. Candidates should have strong skills in React/Typescript and Python, paired with a Master's or PhD in a relevant field. This position offers significant career growth and impact in a dynamic environment. #J-18808-Ljbffr

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales, and manufacturing locations in over 30 countries, Mini-Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement, and imaging applications, including military communication, guidance, and electronic countermeasure systems, commercial, scientific, military land, sea, and aircraft; automotive systems, medical systems, and industrial test equipment. Mini-Circuits sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, and sales representatives, as well as through our extensive website. Position Summary Design, validate, and scale automated production test systems and robotic device handlers for RF and Microwave components. This role is responsible for enabling standardized architectures, throughput improvement, global alignment, and long-term scalability of automated test processes. Salary Range $100,000 - $125,000 per year Job Function Define, design, and validate standardized robotic test handlers, adaptable across multiple RF product lines. Drive new handler integrations and improvements, document FPY, OEE, and operator experience metrics. Collaborate with global teams (Brooklyn, Florida, India, Malaysia) to ensure alignment, backup-site readiness, and standardized deployment. System Design & Development Analyze test and assembly processes to identify candidates for automation based on capacity, efficiency, and process control needs. Develop scalable, modular designs for automated handlers, including mechanical, electrical, vision, and control systems. Specify and integrate sensors (vision, position, presence), robotic arms, conveyors, and fixturing for precision RF component handling. Incorporate RF test-specific requirements (grounding, thermal, high-frequency probing, shielding). Prepare proposals, resource/budget estimates, and project plans for new automation initiatives. Lead cross-functional reviews and maintain stakeholder communication from concept to qualification. Manage vendor engagement, procurement, build, and qualification of handler systems. Documentation & Training Create system specifications, qualification/buy-off plans, operation and maintenance procedures. Train users and support personnel on deployed automation platforms. Drive continuous improvement in throughput, FPY, reliability, and maintainability. Track and implement engineering changes and upgrades into future designs. Stay current with emerging automation technologies (vision, robotics, motion systems, AI-driven inspection) and evaluate for Mini-Circuits applications. Qualifications BS/MS degree in Mechanical, Electrical, Mechatronics, or Control Systems Engineering. Minimum 5 years of relevant experience. Experience with robotic systems, automated handlers, or precision motion/vision-based automation. Familiarity with high-mix/low-to-medium volume manufacturing environments. Controls programming experience (PLC, microcontrollers in C/C++, or equivalent). Data collection and analysis skills (Excel, JMP, Python). Preferred Knowledge Experience with automated inspection systems (AOI, Keyence, Cognex vision). Knowledge of RF test process requirements and challenges. Conveyor/robot integration, pneumatic actuators, precision fixturing. Understanding of Lean Manufacturing, OEE analysis, and ROI calculations. Exposure to manufacturing ERP and PLM systems (SAP, Arena PLM, etc.). Skills Strong communication and documentation skills. Ability to lead cross-functional teams and vendor collaborations. Capable of balancing hands‑on design/build/debug with strategic project leadership. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills Must be a US citizen or US permanent resident Ability and willingness to abide by Company's Code of Conduct Occasional travel, some overnight, as required Benefits Comprehensive Medical, Dental, and Vision plans 401(K) and Profit‑Sharing Programs Disability Insurance Life Insurance Employer‑Sponsored Wellness Plans Hospital & Accident Indemnity Insurance Employee Benefit Advocate & Employee Assistance Program ul> Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

Previous working experience with Pharma Laboratory is required. Install n config company and specialized instrument software. Knowledge of CFR Part 11 and GxP validation preferred. Required experience in Windows Refresh, imaging, migration, and deployment. Troubleshoot and resolve incidents for desktops/laptops hardware and software issues. Installing and configuring standard Hardware and Software Installing and maintaining hardware and computer peripherals. Installing and upgrading operating systems and computer software. Troubleshooting networking and connection issues. Advising on software or hardware upgrades. Analytical problem-solving abilities, proactive/positive team player, resourceful, innovative Demonstrate professional organization, documentation, communication, and interpersonal skills Proven multi-tasking skills, including ability to work effectively under pressure, handle heavy volumes and meet demanding deadlines

Are you an experienced Network Analyst with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Network Analyst for a contract-to-hire position to work at their company in Columbia, SC(Hybrid). Primary Responsibilities/Accountabilities: Focusing on network operations across multiple platforms, analyzes technical architecture, including hardware, software, and various configurations. Provides functional and empirical analysis related to the planning, design, installation, and implementation of the network infrastructure. Analyzes workload, including traffic and utilization trends. Provides analytical support to team members throughout the development and implementation process. Provides feedback on commonly encountered problems and misunderstandings to enhance user documentation and/or training programs. May provide training on hardware and/or software use. Compiles and analyzes operational data and directs tests to assist in establishing standards for new designs or modifications to existing equipment, systems, or processes. Tests and verifies hardware and support peripherals to ensure that they meet specifications and requirements, by recording and analyzing test data. Confers with technical specialists and consults specifications to evaluate interface between hardware and software and operational and performance requirements of overall system(s). Interfaces with users, consultants, technical teams, and vendors for maximum guidance or on new technology to determine software and hardware installation requirements. Ensures network compliance with audit requirements. Addresses new network vulnerabilities within audit-mandated time frames. Anticipates and mitigates potential attacks through network or other connections to ensure the security of the system. Maintains effective security/backup and disaster recovery processes and systems. Monitors network performance to determine whether adjustments need to be made, and to determine where changes will need to be made in the future. Creates and maintains process and procedure documentation. Keeps knowledge and skills updated to keep up with rapid advancements in network technology. Implement security remediations to strengthen the enterprise network. Manage network migrations across large, complex environments. Provide network support for new business applications and onboarding. Define and optimize network structures and routing architecture. Leverage automation (Ansible/GitHub) to enhance network efficiency. Utilize Cisco ACI for next-generation data center networking. Support disaster recovery initiatives to ensure uptime and resilience. Troubleshoot and resolve complex network connectivity and security issues. The Network Change Team manages all connectivity changes across the entire Client organization. Team ensures security, reliability, and efficiency of the corporate network. Highly collaborative environment focused on supporting diverse business units. Plays a critical role in keeping business applications operational, stable, and secure. Qualifications: Palo Alto Firewall (Primary) F5 (Primary) High attention to detail with accuracy in configuration and documentation. Strong communication skills for collaborating with cross-functional teams. Ability to pivot between multiple tasks in a dynamic environment. Excellent troubleshooting ability to resolve network and firewall issues quickly. Preferred: Cisco ACI (Next-gen networking) Ansible (Automation) GitHub (Version control/automation pipelines)