deployment engineer

DigitalOcean

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
At DigitalOcean, Senior Deployment Engineers play a critical role in building and scaling the physical infrastructure that powers our cloud platform. Our Deployment team is responsible for new data center builds, infrastructure expansions, hardware deployments, cabling validation, site readiness, and repeatable execution standards that enable DigitalOcean to grow quickly and reliably.</p>
<p>
From leading deployment workstreams to validating infrastructure readiness, driving contractor execution, troubleshooting complex blockers, and training local teams, our Senior Deployment Engineers operate across the full deployment lifecycle. You'll join a collaborative, fast-moving team with opportunities to support large-scale deployments, new data center expansions, and next-generation infrastructure.</p>
<h3 class="jobSectionHeader"><b>
This role requires significant onsite deployment support and requires very high levels of domestic and international travel based on project needs.</b></h3>
<h2 class="jobSectionHeader"><b>What You'll Be Doing</b></h2>
<ul><li>Leading deployment workstreams for new data center builds, expansions, hardware rollouts, rack buildouts, cluster deployments, and high-density compute infrastructure</li>
<li>Acting as a senior onsite deployment resource for build quality, infrastructure validation, cabling validation, training, and site readiness</li>
<li>Validating vendor and contractor rack and stack work against DigitalOcean design standards, rack elevations, cabling plans, labeling requirements, and deployment procedures</li>
<li>Verifying physical readiness, including power feeds, redundancy, load balancing, rack layout, hardware placement, cable routing, labeling, and infrastructure documentation</li>
<li>Validating front-end and back-end cabling against design, port mapping, LLDP output, link checks, and internal validation workflows</li>
<li>Running and interpreting LLDP checks, automation scripts, tooling outputs, logs, and hardware diagnostics to confirm connectivity and deployment readiness</li>
<li>Identifying and driving correction of miswires, optic issues, link inconsistencies, communication errors, hardware faults, provisioning blockers, and physical layout issues</li>
<li>Troubleshooting complex issues across hardware, cabling, network-adjacent systems, Linux OS, tooling, and site conditions during high-pressure deployment windows</li>
<li>Coordinating contractors, vendors, and internal employees in a project capacity to complete assigned deployment workstreams</li>
<li>Sequencing work, assigning tasks, validating quality, tracking progress, and escalating blockers for assigned deployment areas</li>
<li>Training new DigitalOcean engineers, local Data Center Operations teams, vendors, and contractors on rack and stack standards, cabling patterns, validation workflows, and basic troubleshooting</li>
<li>Maintaining and improving deployment runbooks, validation workflows, operational procedures, checklists, and handoff documentation</li>
<li>Updating and validating DCTrack, NetBox handoff requirements, asset records, inventory systems, and deployment documentation</li>
<li>Providing daily status updates for assigned workstreams, including progress, risks, blockers, vendor issues, and recommended mitigation steps</li>
<li>Partnering with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, Procurement, and vendors to drive deployment readiness</li>
<li>Supporting operational readiness and handoff for newly deployed infrastructure</li>
<li>Participating in lessons learned and driving improvements that reduce repeat issues across future deployments</li>
<li>Supporting planning and preparation for upcoming deployments during offsite periods</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean</b></h2>
<ul><li>4+ years of experience deploying, operating, or supporting infrastructure in large-scale data center, cloud, lab, networking, or technical operations environments</li>
<li>Strong understanding of data center infrastructure, including compute, networking, storage, GPU hardware, cabling, power, rack layouts, and physical deployment standards</li>
<li>Experience deploying and troubleshooting high-density compute platforms, GPU infrastructure, and related hardware</li>
<li>Experience working with or supporting liquid-cooled infrastructure preferred</li>
<li>Strong Linux knowledge and command-line experience, including familiarity with bash scripting, logs, and diagnostic workflows</li>
<li>Strong troubleshooting skills across hardware, cabling, Linux OS, network connectivity, optics, provisioning, and tooling</li>
<li>Strong understanding of data center cabling plans, port mapping, front-end and back-end network patterns, labeling standards, and deployment best practices</li>
<li>Ability to lead assigned deployment workstreams independently in ambiguous, high-cadence environments</li>
<li>Ability to direct contractors and vendors professionally, validate completed work, correct quality issues, and drive task completion</li>
<li>Ability to evaluate deployment issues, identify root cause, leverage data, and drive timely resolution</li>
<li>Ability to communicate clearly with leadership and cross-functional partners regarding status, risk, blockers, and recommended next steps</li>
<li>Ability to update, review, and improve deployment documentation, runbooks, validation workflows, and operational procedures</li>
<li>Experience training and developing junior engineers, local site teams, vendors, and contractors</li>
<li>Ability to operate and navigate effectively through ambiguity while maintaining safety, quality, and execution standards</li>
<li>Strong ownership mindset with the ability to see deployment issues through to resolution</li>
<li>Ability to identify repeat deployment issues and recommend scalable process, tooling, or documentation improvements</li>
<li>The ability to travel domestically and internationally based on deployment needs</li>
<li>Support deployment schedules that include extended onsite periods, non-standard hours, or project-based rotations</li>
<li>Valid driver's license and comfort with driving as needed</li>
<li>Ability to remain on your feet throughout the workday</li>
<li>Ability to lift objects up to 50 lbs</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$105,600 - $132,000</li>
</ul>
<ul><li>This is a onsite role</li></ul>
<p>
JR: 2026-8035</p>
<p><i>
#LI-Onsite</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Senior Deployment Engineer

Kyndryl

<div><p><b>Who We Are
</b></p><p>At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world&rsquo;s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people&mdash;Kyndryls&mdash;that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.<br>
</p><p><br>
<b>The Role
</b></p><div>At Kyndryl, we deploy AI innovation where it creates the greatest real-world impact. As a Forward Deployed Engineer, you will collaborate directly with customers to solve complex challenges, shaping solutions that redefine industries. You will be empowered to work at speed, supported by a global AI ecosystem, and play a pivotal role in delivering outcomes that matter. This position operates within our triad delivery model, where engineering, consulting, and product expertise come together to drive transformative results for customers.
<br>
<br>
This is not traditional consulting or pure software engineering; it is a hybrid role designed for the complexities of real-world AI deployment, with accountability for outcomes not just code.
<br>
<br>
You will blend deep engineering expertise with consultative engagement to deliver tailored solutions that drive measurable business value. Operating in dynamic environments and working closely with customer teams - often on-site - you will scope, prototype, and deploy solutions at pace. Technologies include Generative AI, Agentic AI architectures, and multi-agent ecosystems, with insights continually fed back into Kyndryl&rsquo;s platforms and frameworks to accelerate future deployments.
<br>
<br>
If you are motivated by solving complex problems, excel in direct customer engagement, and aspire to shape the future of enterprise AI, this role is designed for you.
<br>
<br>
Key Responsibilities
<br>
<br>
<ul><li>Customer Engagement &amp; Solution Integrity: Partner with customers to understand business challenges and translate them into high‑quality, fit‑for‑purpose technical solutions, prioritising the right outcome over the fastest one.
</li><li>Rapid Prototyping: Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks.
</li><li>Ownership, Deployment &amp; Partnership: Own delivery end to end, from scoping to production. Working as part of the customer team to engineer and deploy production‑ready solutions that drive adoption and measurable business outcomes.
</li><li>Optimisation: Troubleshoot and enhance system performance, scalability, and reliability.
</li><li>Field Intelligence: Systematically capture deployment learnings, document best practices, and proactively share insights to inform enhancements to Kyndryl&rsquo;s core platforms and frameworks.
</li><li>Continuous Learning: Adapt quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development.
</li><li>Platform Contribution: Actively contribute to the evolution of Kyndryl&rsquo;s AI platforms through feedback, code contributions, and collaboration with product teams.
</li></ul></div><p></p><p>Your Future at Kyndryl
<br>
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won&rsquo;t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.<br>
</p><p><br>
<b>Who You Are
</b></p><p>You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
</p><p></p><p>Required Skills and Experience
</p><ul><li><p>3-6 years of relevant IT experience in which at least 1 years of working experience in Agentic AI Frameworks, Orchestration, Deployment and 2 years on GenAI solutions
</p></li><li><p>Programming Proficiency: Demonstrable expertise in Python; experience working with AI/ML frameworks like TensorFlow or PyTorch is a plus.
</p></li><li><p>Open-Source Ecosystems: Familiarity with community-driven AI tools and libraries, including Hugging Face and relevant repositories.
</p></li><li><p>T-shaped Profile: Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting.
</p></li><li><p>Agentic AI Systems: Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI), including the development of agent protocols and coordination mechanisms.
</p></li><li><p>Retrieval-Augmented Generation (RAG) &amp; Knowledge Systems: Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions.
</p></li><li><p>Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git &amp; GitHub), and data engineering tools such as Pandas and Spark.
</p></li><li><p>Cloud &amp; Distributed Systems: Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures.
</p></li><li><p>Performance &amp; Security: Knowledge of system-level optimisation and security best practices for scalable AI systems.
</p></li><li><p>Business Acumen: Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences.
</p></li><li><p>Flexibility: Willingness to travel and work on customer premises as required.
</p></li></ul><p></p><p>Education: Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline - or equivalent professional experience.<br>
</p><p><br>
Why join us?
<br>
You will become part of a team that values pace, autonomy, and tangible impact. At Kyndryl, you will have full visibility of the delivery lifecycle, with opportunities to lead engagements and shape strategic direction. Our triad delivery model means you will work alongside experts in engineering, product, and consulting, fostering continuous learning and innovation. Career progression is clearly defined, from Junior to Principal levels, with pathways to influence the evolution of our AI platforms. You will contribute directly to platform development and see the results of your work in real-world applications. If you are seeking an environment where your ideas are valued and execution drives results, this is the place to make a difference.
<br>
If you want to work where innovation meets execution, apply now.<br>
</p><p><br>
<b>Being You
</b></p><p>The &ldquo;Kyn&rdquo; in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don&rsquo;t meet every requirement, we encourage you to apply. We believe in growth, and we&rsquo;re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging &mdash; being a valued, respected, trusted member of the team &mdash; is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That&rsquo;s The Kyndryl Way.<br>
</p><p><br>
<b>What You Can Expect
</b></p><p>Your career with us isn&rsquo;t just a job&mdash;it&rsquo;s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health&mdash;because we know that when you feel your best, you do your best.
<br>
<br>
From your very first day, you&rsquo;ll dive into impactful work that powers the systems our customers rely on every day. You won&rsquo;t just contribute&mdash;you&rsquo;ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
<br>
<br>
We&rsquo;re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you&rsquo;ll have everything you need to thrive and evolve. You&rsquo;ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities&mdash;from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you&rsquo;ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
<br>
<br>
We want you to thrive here&mdash;and we&rsquo;re committed to helping you do just that. Ready to make an impact? Join us and help shape what&rsquo;s next.
</p><p></p><p><b>Get Referred!
</b></p><p>If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</p></div>

Forward Deployment Engineer

Sulava MEA

<div>
 We are looking for a
 <strong>
  Deployment Engineer &amp; Architect
 </strong>
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 <br/>
 <br/>
 This role is a combination of
 <strong>
  hands-on engineering and architecture leadership
 </strong>
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 <strong>
  Agent Factory (FFL)
 </strong>
 model&mdash;delivering production-ready AI agents that transform business processes.
 <br/>
 <br/>
 <strong>
  <strong>
   What You Will Do
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
  </li>
  <li>
   Build and deploy agents using Copilot Studio and integrate with enterprise systems
  </li>
  <li>
   Develop custom plugins, connectors, and workflows to extend agent capabilities
  </li>
  <li>
   Lead technical design for Agent Factory (FFL) delivery and scaling models
  </li>
  <li>
   Work with customer teams to translate business use cases into technical solutions
  </li>
  <li>
   Implement RAG pipelines, integrations, and data orchestration for agent intelligence
  </li>
  <li>
   Set up and optimize Azure AI environments, landing zones, and deployment pipelines
  </li>
  <li>
   Ensure security, governance, and compliance in all solutions
  </li>
  <li>
   Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
  </li>
  <li>
   Support testing, optimization, and continuous improvement of agent solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What You Bring
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  <strong>
   Core Engineering &amp; Architecture Skills
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
  </li>
  <li>
   Experience designing scalable cloud-native architectures
  </li>
  <li>
   Ability to lead technical design and architecture decisions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   AI &amp; Agent Development
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Hands-on experience with Copilot Studio and agent development
  </li>
  <li>
   Experience building AI solutions using Azure AI / Azure AI Foundry
  </li>
  <li>
   Understanding of multi-agent patterns, orchestration, and automation
  </li>
  <li>
   Experience integrating APIs, data sources, and enterprise systems
   <br/>
   <br/>
  </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 <br/>
 <br/>
 <strong>
  <strong>
   Data &amp; Integration
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Experience with RAG (Retrieval-Augmented Generation) architectures
  </li>
  <li>
   Knowledge of Azure AI Search, data pipelines, and indexing approaches
  </li>
  <li>
   Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Security &amp; Governance
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Understanding of enterprise security, identity (Entra ID), and data protection
  </li>
  <li>
   Experience implementing AI governance, compliance, and data security controls
   <br/>
   <br/>
  </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 <br/>
 <br/>
 <strong>
  <strong>
   What Makes You Successful
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   You can move from architecture to hands-on delivery seamlessly
  </li>
  <li>
   You build solutions that are production-ready, secure, and scalable
  </li>
  <li>
   You understand both technical design and real business impact
  </li>
  <li>
   You are comfortable working in fast-evolving AI environments
  </li>
  <li>
   You take ownership and drive technical outcomes end-to-end
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Nice to Have
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Experience with Power Platform (Power Automate, Dataverse)
  </li>
  <li>
   Familiarity with Copilot extensibility and plugin models
  </li>
  <li>
   Experience with DevOps / CI-CD pipelines for AI solutions
  </li>
  <li>
   Knowledge of KSA regulatory and data residency requirements
  </li>
  <li>
   Arabic language skills
  </li>
 </ul>
</div>


Deployment Engineer & Architect

TARRYRISE HOME & STAFF SERVICES

<p><b>About the Role</b></p><p>We are seeking a <b>Product Owner/Forward Deployment Engineer</b> to bridge product strategy and technical execution within our Portfolio Services division. This hybrid role combines product ownership, hands-on technical implementation, and client-facing deployment to deliver AI-powered solutions that transform how we serve our clients.</p><p>You will own the complete lifecycle of AI agents and automation tools&acirc;&euro;&rdquo;from strategy and design through deployment and adoption&acirc;&euro;&rdquo;ensuring solutions are built right and adopted successfully across our organization.</p><p><b>Key ResponsibilitiesProduct Ownership &amp; Strategy</b></p><ul><li>Define and prioritize product roadmap for AI agents and automation tools, aligned with business objectives and client needs</li><li>Develop user stories, acceptance criteria, and success metrics in collaboration with stakeholders</li><li>Own the product backlog, balancing immediate business needs with long-term strategic goals</li><li>Conduct user research and gather requirements from Portfolio Services teams and clients</li></ul><p><b>Technical Deployment &amp; Implementation</b></p><ul><li>Lead end-to-end deployment of AI solutions into live Portfolio Services environments</li><li>Configure, customize, and integrate AI agents with existing systems and workflows</li><li>Troubleshoot technical issues during implementation and provide hands-on problem resolution</li><li>Build proof-of-concepts and MVPs to validate solution feasibility and business value</li></ul><p><b>Stakeholder Engagement &amp; Change Management</b></p><ul><li>Partner with Transaction Management, Lease Administration, and Consulting teams to understand pain points</li><li>Train end-users on new AI tools and capabilities, ensuring successful adoption</li><li>Gather post-deployment feedback and iterate solutions based on real-world performance</li><li>Communicate progress, challenges, and outcomes to leadership and cross-functional teams</li></ul><p><b>Governance &amp; Quality Assurance</b></p><ul><li>Ensure AI solutions comply with governance frameworks, security standards, and ethical guidelines</li><li>Document technical specifications, user guides, and deployment processes</li><li>Monitor solution performance and implement improvements based on usage data and feedback</li><li>Maintain quality standards throughout the development and deployment lifecycle</li></ul><p><b>Required QualificationsTechnical Skills</b></p><ul><li><b>10+ years</b> of experience in product management, software engineering, or technical implementation roles</li><li>Hands-on experience with AI/ML tools, automation platforms, or enterprise software deployment</li><li>Proficiency in at least one programming language (Python, JavaScript, or similar)</li><li>Understanding of APIs, system integrations, and data workflows</li><li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud)</li></ul><p><b>Business &amp; Domain Knowledge</b></p><ul><li>Understanding of commercial real estate operations, particularly Portfolio Services functions</li><li>Proven ability to translate business requirements into technical solutions</li><li>Ability to understand complex workflows and identify automation opportunities</li><li>Strong grasp of change management principles and user adoption strategies</li></ul><p><b>Core Competencies</b></p><ul><li>Excellent communication skills with ability to engage technical and non-technical audiences</li><li>Problem-solving mindset with hands-on, roll-up-your-sleeves approach</li><li>Comfortable working in ambiguous, fast-paced environments</li><li>Strong project management skills with ability to manage multiple priorities</li><li>Collaborative team player who can also work independently</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with Agile/Scrum methodologies and product management frameworks</li><li>Background in real estate technology, PropTech, or enterprise SaaS solutions</li><li>Familiarity with AI agents, LLMs, or generative AI applications</li><li>Prior experience in client-facing or consulting roles</li><li>Certifications in Product Management (CSPO, CPO) or relevant technical certifications</li></ul><p><b>What Success Looks Like</b></p><ul><li>AI solutions deployed successfully with measurable business impact (time savings, accuracy improvements, cost reduction)</li><li>High user adoption rates and positive feedback from Portfolio Services teams</li><li>Strong partnerships with technology teams and business stakeholders</li><li>Clear product roadmap aligned with strategic priorities</li><li>Solutions that scale across geographies and client accounts</li></ul><p>Application Question(s):</p><ul><li>location is Bangalore</li><li>Can you join before the official notice period? Yes/No If yes, Please share the official confirmation available for early release?</li><li>immediate joiner? If yes, please mention the confirmed Last Working Day (LWD).*</li><li> Please share 2&ndash;3 available time slots for the interview, and the candidate will be contacted accordingly. Kindly provide multiple and varied time options to ensure better alignment with the panel&rsquo;s availability</li><li>ever been employed by Ciber, HTC Global Services or Care Tech?</li><li>Salary budget is INR 2200000 - 3000000 Maximum, what are your expectations </li></ul><p>Work Location: In person</p>

Product Owner/Forward Deployment Engineer

Sereact

<div><h2 class="jobSectionHeader"><b>About Us</b></h2><p>
Sereact is a rapidly growing embodied AI company revolutionizing industrial intelligence. We develop advanced robotics and artificial intelligence solutions that enable robotic systems to sense, reason, and act in real-world warehouse and factory environments &mdash; helping businesses streamline operations, increase productivity, and transform physical work.</p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
As a Field Deployment Engineer, you will lead the installation and deployment of our AI-powered robotic systems at customer sites across Europe. This is a dynamic, hands-on engineering role that combines technical leadership with practical implementation to ensure successful system integration in high-automation production environments.</p><p>
You will plan and coordinate deployments, collaborate closely with internal engineering teams, project managers and customer stakeholders, and take end-to-end responsibility for the complete installation, integration, and commissioning process onsite. This is a hands on role where you will contribute directly to mechanical and electrical work to support live systems, helping install new systems, and troubleshoot robotic systems during on-site deployments.</p><p><b>
Your Responsibilities:</b></p><h3 class="jobSectionHeader"><b>
Deployment Leadership</b></h3><ul><li><p>
Lead the installation and commissioning of robotic systems at customer facilities.</p></li><li><p>
Coordinate deployments with internal engineering teams, contractors, and customer personnel.</p></li><li><p>
Coordinate deployments with internal engineering teams, contractors, and customer personnel.</p></li><li><p>
Plan installation workflows and ensure deployments are executed safely and efficiently.</p></li><li><p>
Serve as the primary technical contact during on-site deployments.</p></li><li><p>
Ensure systems meet operational, performance, and safety requirements prior to production handoff.</p></li></ul><h3 class="jobSectionHeader"><b>
System Installation &amp; Integration</b></h3><ul><li><p>
Install and integrate robotic arms, grippers, sensors, cameras, and mobile platforms.</p></li><li><p>
Contribute directly to mechanical and electrical installation of robotic systems.</p></li><li><p>
Mount and replace end-effectors such as grippers and tooling.</p></li><li><p>
Route and secure electrical and communication cables within robotic cells and control cabinets.</p></li><li><p>
Assist with installation, wiring, and modification of control cabinets and electrical components.</p></li><li><p>
Drill, tap, mount, and modify brackets, fixtures, and mounting hardware as required for system integration.</p></li><li><p>
Conduct on-site system testing and validation.</p></li></ul><p><b>
Troubleshooting &amp; Optimization</b></p><ul><li><p>
Diagnose and resolve mechanical, electrical, and software issues during deployment.</p></li><li><p>
Replace or repair hardware components such as grippers, sensors, actuators, and cabling.</p></li><li><p>
Optimize system performance for efficiency, speed, and accuracy in production environments.</p></li><li><p>
Provide technical training and support to customer teams.</p></li><li><p>
Document installation procedures, configurations, and lessons learned from deployments.</p></li><li><p>
Collaborate with internal engineering teams to improve system robustness and deployment processes.</p></li><li><p>
Support customer sites across Europe remotely when not actively on deployment.</p></li></ul><p><b>
Travel</b></p><p>
Willingness and ability to travel extensively across Europe (approximately 75%) is required for this role.</p><p><b>
Qualifications:</b></p><p><b>
Education and Experience</b></p><ul><li><p>
3+ years of experience deploying robotic systems, automation equipment, or industrial machinery.</p></li><li><p>
Experience leading or coordinating technical installations or field deployments.</p></li><li><p>
Hands-on experience with robotic workcells, automation systems, or industrial equipment.</p></li></ul><p><b>
Skills</b></p><ul><li><p>
Knowledge of ROS 2, robotic system architecture, or industrial automation systems.</p></li><li><p>
Proficiency in Python, C++, or similar programming languages.</p></li><li><p>
Experience with containerization tools such as Docker is a plus.</p></li><li><p>
Strong troubleshooting skills across mechanical, electrical, and software systems.</p></li><li><p>
Comfortable working with hand tools, power tools, and mechanical equipment.</p></li><li><p>
Experience installing sensors, routing cables, and integrating hardware in industrial environments.</p></li><li><p>
Ability to read mechanical drawings, wiring diagrams, and system layouts.</p></li><li><p>
Strong written and verbal communication skills.</p></li><li><p>
Familiarity with 6-axis robots, AMRs, or other robotic platforms is a plus.</p></li></ul><p><b><br>
What We Offer:</b></p><ul><li><p>
Highly competitive compensation and excellent career development opportunities in a fast-growing company</p></li><li><p>
Flexible working hours</p></li><li><p>
Wellpass (gym membership)</p></li><li><p>
Free Snacks, Beverages, Lunch and Dinner while in the office</p></li><li><p>
Full coverage of accommodation, meals, and travel expenses while on deployment</p></li><li><p>
A motivated team and an open corporate culture</p></li></ul></div>

Field Deployment Engineer (m/f/d)

In-Xperts GmbH

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Die Stelle auf
</b><br>
<b>einen Blick</b></h2>
<p>Unser Gesch&auml;ftspartner ist eine feste Gr&ouml;&szlig;e in der Entwicklung medizinischer Ger&auml;te in der Augenheilkunde. Kerntechnologien sind konfokale Mikroskopie, Laser-Scanning, optische Koh&auml;renztomografie (OCT), Echtzeit-Bildverarbeitung und -auswertung, multimodale Bilddatenmanagement-L&ouml;sungen (PACS), elektronische Patientendatenverwaltung und Data-Mining. Mit seinen innovativen L&ouml;sungen geh&ouml;rt man damit zu einem der &bdquo;Hidden Champions&ldquo; in Deutschland.
<br>
<br>
F&uuml;r den Bereich <b>Software Deployment</b> suchen wir einen <b>Software Engineer / DevOps (w/m/x)</b></p>
</div></div><div><div><div><div><div>Ort</div>
<div>Heidelberg</div>
</div><div><div>Art</div>
<div>Direkte Festanstellung</div>
</div><div><div>Branche</div>
<div>Developer</div>
</div><div><div>Erfahrung</div>
<div>Intermediate &ndash; Advanced</div>
</div><div><div>Gehalt</div>
<div>60.000 &ndash; 80.000</div>
</div><div><div>Sprache</div>
<div>Deutsch (B2), Englisch (B2)</div>
</div></div></div></div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihr Aufgabenbereich</b></h2>
<p>Sie werden Teil eines neuen internen Teams und entwickeln den Bereich des Software Deployments und der Continuos Integration Pipeline kontinuierlich weiter.</p>
<ul><li>Bereitstellung und Weiterentwicklung der Software-Installationsprogramme (Setups) und Softwarewartungs-Tools f&uuml;r die Ger&auml;te- und Prozesssoftware medizinischer Systeme</li>
<li>Definition und Optimierung zukunftsf&auml;higer Anforderungen, beispielsweise bzgl. Softwareverteilung in neuen Distributionskan&auml;len (z.B. Microsoft Store) oder mit Paketmanagement-Systemen, Azure DevOps o. &auml;.</li>
<li>Kontinuierliche Verbesserung der automatisierten Prozesse zum Bau und Test der Installer</li>
<li>Pflege und Weiterentwicklung der Continuous Integration Pipeline</li>
</ul></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihr Profil</b></h2>
<ul><li>Erfolgreich abgeschlossenes Studium im Bereich Informatik oder &auml;hnlicher Background</li>
<li>Erfahrung in der Softwareentwicklung nach agilen Standards, besonders im Bereich Deployment und CI / CD</li>
<li>Praktische Erfahrungen mit mindestens einem der folgenden Werkzeuge/Techniken: InstallAware, InstallShield, Windows Installer, MSI/MSIX</li>
<li>Praktische Erfahrungen mit Versionsverwaltungssystemen wie z.B. SVN oder Git</li>
<li>Kenntnisse in Jenkins, VMWare vSphere, TestComplete, Polarion sind ein Plus</li>
<li>Kenntnisse von Werkzeugen wie Gitlab, Azure DevOps, Docker, Artifactory, NuGet, Windows Package Manager von Vorteil</li>
<li>Erfahrungen mit Programmiersprachen (z.B. C#) und Scriptsprachen (z.B. PowerShell, Python) von Vorteil</li>
<li>Deutsch &amp; Englisch mindestens B2</li>
</ul></div></div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Das Angebot</b></h2>
<p>Freuen Sie sich auf ein innovatives und anspruchsvolles Umfeld im Med-Tech-Bereich. Neben Gestaltungsfreiraum wird eine langfristige Perspektive mit Weiterbildungs- und Entwicklungsm&ouml;glichkeiten geboten.</p>
<ul><li>Hybrides Arbeitsmodell mit Kontingenten</li>
<li>gezielte F&ouml;rderung und individuelle Weiterentwicklungspl&auml;ne</li>
<li>ausgeglichene Work-Life-Balance</li>
<li>30 Urlaubstage</li>
<li>BAV (arbeitgeberfinanziert)</li>
<li>Jobticket, Fitnessstudiozuschuss</li>
<li>E-Bike-Leasing</li>
<li>uvm&hellip;</li></ul></div></div></div></div></div></div></div><div></div>

Software Engineer / DevOps (w/m/x) Deployment

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Die Stelle auf
</b><br>
<b>einen Blick</b></h2>
<p>Unser Gesch&auml;ftspartner ist eine feste Gr&ouml;&szlig;e in der Entwicklung medizinischer Ger&auml;te in der Augenheilkunde. Kerntechnologien sind konfokale Mikroskopie, Laser-Scanning, optische Koh&auml;renztomografie (OCT), Echtzeit-Bildverarbeitung und -auswertung, multimodale Bilddatenmanagement-L&ouml;sungen (PACS), elektronische Patientendatenverwaltung und Data-Mining. Mit seinen innovativen L&ouml;sungen geh&ouml;rt man damit zu einem der &bdquo;Hidden Champions&ldquo; in Deutschland.</p>
</div></div><div><div><div><div><div>Ort</div>
<div>Heidelberg, Remote</div>
</div><div><div>Art</div>
<div>Unbefristet</div>
</div><div><div>Branche</div>
<div>Developer</div>
</div><div><div>Erfahrung</div>
<div>intermediate &ndash; Senior</div>
</div><div><div>Gehalt</div>
<div>65.000 &ndash; 90.000 &euro; je nach Erfahrung</div>
</div><div><div>Sprache</div>
<div>Deutsch B2, Englisch B2</div>
</div></div></div></div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihr Aufgabenbereich</b></h2>
<p>F&uuml;r die Entwicklung neuer innovativer L&ouml;sungen suchen wir als Verst&auml;rkung f&uuml;r den Bereich Forschung &amp; Entwicklung. Ben&ouml;tigt wird ein DevOps-Engineer (all genders) f&uuml;r Deployment-Software (Installer)</p>
<ul><li>Pflege und Weiterentwicklung der Continuous Integration Pipeline</li>
<li>Bereitstellung und Weiterentwicklung der Software-Installationsprogramme (Setups) und Softwarewartungs-Tools f&uuml;r die Ger&auml;te- und Prozesssoftware medizinischer Systeme</li>
<li>Definition und Abstimmung zuk&uuml;nftiger Anforderungen, beispielsweise bzgl. Softwareverteilung in neuen Distributionskan&auml;len (z.B. Microsoft Store) oder mit Paketmanagement-Systemen</li>
<li>Kontinuierliche Verbesserung der automatisierten Prozesse zum Bau und Test der Installer</li>
</ul></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihr Profil</b></h2>
<ul><li>Abgeschlossenes Studium der Informatik oder eine &auml;hnliche Erfahrung</li>
<li>Praktische Erfahrungen mit mindestens einem der folgenden Werkzeuge/Techniken: InstallAware, InstallShield, Windows Installer, MSI/MSIX</li>
<li>Praktische Erfahrungen mit Versionsverwaltungssystemen wie z.B. SVN oder Git</li>
<li>Praktische Erfahrungen mit mindestens einem der folgenden Werkzeuge von Vorteil: Jenkins, VMWare vSphere, TestComplete, Polarion</li>
<li>Kenntnisse von Werkzeugen wie Gitlab, Azure DevOps, Docker, Artifactory, NuGet, Windows Package Manager von Vorteil</li>
<li>Erfahrungen mit Programmiersprachen (z.B. C#) und Scriptsprachen (z.B. PowerShell, Python) von Vorteil</li>
</ul></div></div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Das Angebot</b></h2>
<p>Freuen Sie sich auf ein innovatives und anspruchsvolles Umfeld im Med-Tech-Bereich. Neben Gestaltungsfreiraum wird eine langfristige Perspektive mit Weiterbildungs- und Entwicklungsm&ouml;glichkeiten geboten</p>
<ul><li>sehr gutes Arbeitsklima, flache Hierarchien, kurze Kommunikationswege</li>
<li>gezielte F&ouml;rderung und individuelle Weiterentwicklungspl&auml;ne</li>
<li>generell hochkar&auml;tige Weiterbildungsma&szlig;nahmen</li>
<li>ausgeglichene Work-Life-Balance</li>
<li>Hybrides Arbeitsmodell, auch &uuml;berwiegend remote besetzbar</li>
<li>30 Urlaubstage</li>
<li>BAV (arbeitgeberfinanziert)</li>
<li>Jobticket</li>
<li>E-Bike-Leasing</li></ul></div></div></div></div></div></div></div><div></div>

DevOps Engineer Deployment (all genders)

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