Jobiba hiring network

Security Technology Deployment Specialist Jobs

7,990 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current security technology deployment specialist jobs. Use filters to narrow by work mode, employment type, experience and date posted.

A
Anthropic
📍 San Francisco• $285K – $325K/yr
2mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for exi

ailogisticsprocurement
View job →
TI
TEGNA India
📍 Chennai• Full-time
2mo ago

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Senior DevOps Engineer About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing trusted local news and services. With 64 television stations across 51 U.S. markets, TEGNA reaches more than 100 million people monthly across digital, mobile, streaming, and television platforms. We are focused on innovation, technology excellence, and building scalable solutions that create meaningful impact. Position Overview TEGNA is looking for a highly skilled Senior DevOps Engineer with strong expertise in AWS, Kubernetes, and Infrastructure as Code to design, automate, and manage scalable cloud infrastructure. The ideal candidate will have hands-on experience operating Kubernetes workloads in production, building CI/CD pipelines, and implementing monitoring and security best practices. This role requires deep technical expertise, strong troubleshooting skills, and the ability to work in fast-paced, distributed environments. You will play a key role in ensuring platform reliability, automation maturity, and production stability across cloud-native microservices systems. What You’ll Do Design and manage cloud infrastructure using Infrastructure as Code (AWS CDK, CloudFormation, Terraform). Build and maintain CI/CD pipelines using GitHub Actions and Jenkins to enable automated and reliable deployments. Deploy, manage, and scale Kubernetes clust

pythonpostgresqlmongodb
View job →
P
Point72
📍 New York• $185K – $220K/yr
3mo ago

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Build and operate high-performance network platforms that support low-latency trading systems and critical business applications Design and deploy scalable campus, data center, and wide-area network architectures to meet growth and availability targets Implement and manage network security controls, firewall policies, and segmentation to protect sensitive systems and data, strengthening our defensive posture Automate network provisioning, configuration, and validation using scripting and infrastructure-as-code techniques to reduce manual work and accelerate deployments Troubleshoot and resolve complex network incidents, perform root-cause analysis, and drive post-incident improvements to increase reliability and reduce recurrence Partner with application, security, and operations teams to optimize network performance for latency-sensitive and high-throughput workloads Lead network upgrade, capacity planning, and vendor coordination projects from design through te

pythonartificial intelligenceai
View job →
C
Cohere
📍 Singapore, Singapore• Full-time• Remote
2mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As the Senior Director of Solutions Architecture for Asia Pacific at Cohere, you will own Solutions Architecture across the region. Our customers here are banks, telcos, industrials and governments who cannot send their data to someone else’s cloud, and who are past experimenting and into production. You will lead the team that makes those deployments real, and you will be accountable for the technical win across the region. This is a build. Today a Solutions Architecture team covers Korea, Japan and Southeast Asia. You will own that team, grow it, and build the in-region depth this market needs. You will be expected to open doors on your own credibility and network from your first weeks, set direction for the function, sit on the Solution Architecture leadership team alongside the regional leaders for the Americas and EMEA, and contribute to company-wide decisions with your peers across Sales, Product and Engineering. In this role, you will: Build and Lead the Team: Hire, coach and develop the Asia Pacific Solutions Architecture organization, and establish in-region depth rather than relying on support flown in from other regio

REMOTEmachine learningairecruitment
View job →

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. About The Position We’re seeking a highly motivated and technically skilled Enterprise Pre-Sales Engineer to join our growing sales team. This is a unique opportunity to work across Ubiquiti’s expanding ecosystem—including routing, switching, security, SD-WAN, cameras, door access control, and other emerging UniFi technologies. You’ll be instrumental in helping customers design, deploy, and scale their networks while shaping the future of our product development through direct collaboration with R&D. This role is ideal for someone who thrives on solving complex problems, has a strong grasp of enterprise networking and physical security, and is excited to be on the front lines of innovation. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Responsibilities Engage with enterprise customers to understand and architect solutions across networking (routing, switching, firewall, SD-WAN), physical security (video surveillance, access control), and other emerging UniFi technologies Create detailed system designs and technical proposals for large-scale deployments Deliver technical demos, webinars, and hands-on trainings both remotely and on-site Translate customer needs into clear, actionable feedback for R&D / product development teams —explai

recruitment
View job →
D
Decagon
📍 San Francisco• Full-time• $200K – $400K/yr
1mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics. We organize around four focus areas: Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency. Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments. ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments. Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams. Our mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues

awsazuregcp
View job →
MI
4mo ago

About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM) , trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. The role We are seeking a strategic Presales / Solution Consultant with deep expertise in the Cybersecurity and UEM domain. In this Senior role, you will be the technical architect behind our sales success— bridging the gap between complex security requirements and Hexnode’s cutting-edge solutions. You will drive the presales lifecycle, lead high-stakes technical engagements, and ensure seamless implementation for our global enterprise clientele. If you are passionate about technology and eager to make a real impact, Hexnode has the perfect opportunity for you! Responsibilities Strategic Architecture: Lead technical discovery sessions to translate complex enterprise business needs into robust, scalable security architectures. Executive Demonstrations & POCs: Command high-stakes product demonstrations and orchestrate complex Proof-of-Concept (POC) deployments that clearly validate Hexnode's value proposition to potential clients. Technical Advisory: Serve as a trusted consultant to C-level executives and IT Directors, providing authoritative guidance throughout the sales cycle. Bid Management: Lead the technical response for RFPs/RFIs, ensuring all documentation is meticulous and competitive. Cross-functional Collaboration: Partner with Product and Engineering teams to advocate for customer feature requests and influence the product roadmap. Performance Excellence: Ensure high levels of customer satisfaction (CSAT) by overseeing the transition from presales to successful long-term implementation. Required

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team. You may be a good fit if you have: 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership Demonstrated experience leading the architecture

awsazuregcp
View job →

Principal Azure Data Engineer ( Databricks ) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead the architecture of data platforms driving the future of financial services. The Role As a Principal Azure Data Engineer ( Databricks ) at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the Databricks platform within the Azure ecosystem. You'll drive the design and implementation of streaming and batch data pipelines, helping our clients modernise their data capabilities. Working with cross-functional teams, you'll guide clients on technical strategy and best practices while ensuring quality, security, and governance standards are maintained across deployments. You'll also champion AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll Do Architect and lead the end-to-end delivery of Databricks -based data platforms across Azure environments. Design secure, scalable data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure -native services, applying AI-enabled engineering approaches where appropriate. Establish and promote engineering best practices across the data lifecycle, ensuring robust governance, quality, and operational excellence. Partner with clients to define technical strategy, data architecture, and governance frameworks that align with business objectives. Mentor engineering teams, develop internal capability, and encourage the responsible use of approved AI tools and automation to enhance delivery and collaboration. What We're Looking For Proven expertise with the Databricks platform, including Unity Catalog, Delta Lake, orchestration, and enterprise-scale Azure deployments. Strong technical skills in Python , PySpark , and distributed data pr

pythonjavaazure
View job →
C
Cohere
📍 Toronto• Full-time• Remote• $160K – $260K/yr
9mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. As a Site Reliability Engineer you will: Build self-service systems that automate managing, deploying and operating services. This includes our custom Kubernetes operators that support language model deployments. Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems. Take steps required to ensure we hit defined SLOs, including pa

REMOTEawsazuregcp
View job →
C
Cohere
📍 San Francisco• Full-time• Remote• $190K – $325K/yr
9mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. You may be a good fit if you have: 5+ years of engineering experience running production infrastructure at a large scale Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters Experience with Kubernetes dev and production coding and support Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving Experienc

REMOTEawsazuregcp
View job →
MI
Mach Industries
📍 Huntington Beach• $125K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI‑forward autonomy stack for contested environments where GPS and other sensing is unavailable or unreliable. As an member of our team, you will design and implement state-of-the-art estimation and sensor-fusion algorithms that power robust navigation across all of our product lines. You will work at the intersection of perception, state estimation, and embedded systems to bring research-grade algorithms to rugged, real-world deployments. Key Responsibilities Prototype and productionize vision navigation and targeting features end-to-end from sim to HITL to flight with production C++. Turn detections (EO/IR/RF/radar) into well-posed measurement models with latencies/covariances; make the estimator decision‑aware without corrupting state. Stabilize GNSS to VIO handover (adaptive covariances, gating, hysteresis, reset‑less alignment) to eliminate jumps and estimator resets. Build and optimize real-time software on Linux/embedded; profile CPU/GPU, vectorize hot paths; optional CUDA/TensorRT on Jetson hardware. Own calibration and time-sync across IMU/cameras/radar/LiDAR/GNSS; validate in flight. Create evaluation pipelines and dashboards for drift, handover stability, relocalization, track quality Implement fault det

pythonsqldocker
View job →
MI
Mach Industries
📍 Huntington Beach• $125K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As a Perception Engineer, you will design, train, and deploy state-of-the-art vision and multi-sensor perception systems that enable navigation, targeting, and automatic target recognition on our product lines. You’ll work across deep learning, computer vision, and embedded systems to bring research-grade algorithms to real-world deployments. Key Responsibilities Build and refine detection/segmentation/tracking architectures (CNN/Transformer) for EO/IR and multi-spectral imagery; drive foundation-scale datasets, training recipes, and robust generalization to long-tail and degraded conditions. Stand up training/eval pipelines (PR/ROC, mAP, latency, robustness suites); implement continuous regression testing and model-update loops from field data. Optimize models for real-time embedded inference (quantization/pruning, TensorRT/ONNX Runtime), profile CPU/GPU, and meet tight throughput/latency targets on Jetson-class hardware. Combine vision outputs with auxiliary sensing (e.g., radar/LiDAR/RF cues) for confirm/deny, association, and track management using decision-level fusion. Create visualization, triage,

pythonsqllinux
View job →

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is seeking a Global Solutions Engineer with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into Fortune 500 companies in LATAM. Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company remotely. What You'll Do Be the subject matter authority on the full Verkada suite of products and offeri

awslinuxai
View job →
MI
Mitsogo Inc
📍 Philippines• Full-time
4mo ago

About Mitsogo Mitsogo is a global organization that highly values the contributions of each employee. Our ability to attract top talent is a testament to our commitment to fostering a sense of belonging for everyone. We recognize the rapid evolution of technology and society that impacts our industry, and we prioritize equipping our employees with diverse opportunities and empowering them with a wide range of skills. About Hexnode Hexnode, the Enterprise software division of Mitsogo Inc., was founded with a mission to simplify the way people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse sectors. Fueling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. Job Summary : We are looking for a highly skilled and motivated Presales Implementation Engineer with experience in the Cybersecurity domain. The ideal candidate will have hands-on experience with Mobile Device Management (MDM), Remote Monitoring and Management (RMM) tools, or Patch Management solutions. As a Presales Implementation Engineer, you will play a pivotal role in working with customers to understand their requirements, assisting in the presales process, and ensuring smooth implementation of security solutions. Key Responsibilities : Collaborate with sales and technical teams to understand customer requirements and translate them into technical solutions. Conduct product demonstrations, proof-of-concept (POC) deployments, and solution presentations for customers. Design and implement security solutions, including MDM, RMM, and Patch Management tools, based on customer needs and business goals. Provide technical guidance and advice to clients during the presales cycle. Assist in creating and customizing proposals, responses to RFPs, and technical documentation. Work closely with customers and internal teams to ensure successful deployments, configurations, and implementati

🔔

Get new security technology deployment specialist jobs by email

Daily job updates · Unsubscribe anytime