platform engineer

Accenture

<p><b>Project Role : </b>Data Platform Engineer<br>
<b>Project Role Description : </b>Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
<br>
<b>Must have skills : </b>Python (Programming Language)<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Platform Engineer, you will assist in the development and design of the data platform blueprint, ensuring that all relevant components are effectively integrated. Your typical day will involve collaborating with Integration Architects and Data Architects to create a cohesive environment that supports data models and system integration, while also addressing any challenges that arise in the process. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with industry trends and technologies. - Support the team in troubleshooting and resolving data-related issues. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of data structures and algorithms. - Experience with data integration tools and techniques. - Familiarity with cloud platforms and services related to data management. - Ability to write efficient and maintainable code. Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Data Platform Engineer

Capgemini

<div><div><div><p>Pune</p><div>
Devops Platform Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><div><b>Your Role</b></div></div><div><ul><li>
Lead the design, development, and maintenance of scalable, resilient, and automated platform engineering solutions following DevOps best practices.
</li><li>Architect, deploy, and optimize <b>Kubernetes-based platforms</b>, ensuring high availability, security, performance tuning, and efficient cluster orchestration.
</li><li>Drive implementation of <b>Infrastructure as Code (IaC)</b> using Terraform and manage robust CI/CD pipelines with GitLab and Jenkins for seamless application delivery.
</li><li>Design and support cloud-native solutions across <b>IBM Cloud, AWS, Azure, and GCP</b>, ensuring adherence to cloud architecture and operational excellence principles.</li></ul><ul><li>
Lead the design, development, and maintenance of scalable, resilient, and automated platform engineering solutions following DevOps best practices.
</li><li>Architect, deploy, and optimize <b>Kubernetes-based platforms</b>, ensuring high availability, security, performance tuning, and efficient cluster orchestration.
</li><li>Drive implementation of <b>Infrastructure as Code (IaC)</b> using Terraform and manage robust CI/CD pipelines with GitLab and Jenkins for seamless application delivery.
</li><li>Design and support cloud-native solutions across <b>IBM Cloud, AWS, Azure, and GCP</b>, ensuring adherence to cloud architecture and operational excellence principles.</li></ul></div></div><div><div><div><b>
Your Profile</b></div></div><div><ul><li>
Over 8 years of progressive experience in platform engineering and DevOps practices, with a strong focus on building scalable, resilient infrastructure and automation.</li><li>
Proven leadership in designing and maintaining Kubernetes-based platform solutions, with deep hands-on expertise in cluster orchestration, performance tuning, and team guidance.</li><li>
Extensive knowledge of Docker, Terraform, and modern CI/CD pipelines (GitLab, Jenkins), enabling seamless application delivery and infrastructure as code (IaC) best practices.</li><li>
Proficient in architecting and supporting solutions on cloud platforms such as IBM Cloud, AWS, Azure, and GCP.</li><li>
Skilled in version control using Git, including advanced Git workflows; experienced with build tools like Maven and NPM for dependency and artifact management.</li><li>
Experience implementing service mesh technologies (e.g., Istio) and advanced container networking tools like Calico for secure and efficient service communication.</li><li>
Strong scripting and automation background using Linux shell scripting and Python, improving operational efficiency and reducing manual overhead.</li><li>
Exposure to mobile CI/CD pipelines for both Android and iOS, contributing to a unified delivery platform across frontend and backend systems.</li><li>
Hands-on experience in WebSphere Application Server administration, covering installation, configuration, performance tuning, and lifecycle management.</li><li>
Excellent communication and leadership abilities; adept at cross-functional collaboration and mentoring junior engineers.</li></ul></div></div><div><div><div><b>
What you'll love about working here</b></div></div><div><ul><li>
You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.</li><li>
You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.</li><li>
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.</li></ul></div></div></div><p>
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.<br>
Make it real | www.capgemini.com</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
406901-en_GB</div></div><div><div>
Posted on</div><div>
23 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Pune</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Devops Platform Engineer

Andersen

<p><b>Andersen</b> is hiring an <b>AI Platform Engineer</b> to enhance a secure cloud-based platform by building scalable AI infrastructure, orchestration, and observability for reliable, intelligent performance.</p><p><b>The customer</b> is an international company delivering professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations. It operates in a fast-growing environment, focusing on scalability, security, and continuous improvement while developing digital platforms used by diverse clients worldwide.</p><p><b>The project</b> is focused on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics. It also includes building and maintaining scalable AI infrastructure, orchestration patterns, and observability to ensure reliable and intelligent platform performance.</p><p><b>Responsibilities: </b></p><ul><li>Implementing multi-agent orchestration and tool-calling patterns.</li><li>Building observability infrastructure (tracing, logging, cost tracking).</li><li>Establishing API gateway patterns and runtime consistency.</li><li>Designing failure handling, retry logic, and context routing.</li><li>Enforcing tool schema standards across teams.</li><li>Documenting and evangelizing platform patterns.</li></ul><p><b>Must-have: </b></p><ul><li>Experience as an AI Platform Engineer, LLM Infrastructure Engineer or in a similar role for 4+ years.</li><li>Solid experience working with LLM system architecture and infrastructure, including multi‑agent orchestration and tool‑calling.</li><li>Practical experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents).</li><li>Knowledge of major cloud platforms (Azure/AWS/GCP) and distributed systems services.</li><li>Experience with logging, metrics, and tracing tools: OpenTelemetry, Prometheus, Grafana, Elastic, Datadog.</li><li>Strong proficiency in Python or another commonly used ML/infrastructure language.</li><li>Good understanding of API design principles (REST, gRPC), JSON Schema, and OpenAPI specifications.</li><li>Hands‑on experience implementing agent orchestration patterns and tool invocation in high‑load AI environments.</li><li>Level of English &ndash; from Upper-Intermediate and above.</li></ul><p><b>Nice to have: </b></p><ul><li>Proven ability to build observability infrastructure, including distributed tracing, logging, metrics, and cost tracking.</li><li>Experience designing and implementing API gateway patterns: request routing, version control, unified responses, and runtime consistency.</li><li>Strong understanding of resilience mechanisms such as error handling, retry logic, fallback strategies, and context routing.</li><li>Experience establishing and enforcing tool schema standards across cross‑functional teams.</li><li>Ability to document technical solutions and promote architectural patterns across the organization.</li></ul><p><b>Reasons why this job would be interesting to you: </b></p><ul><li>Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson &amp; Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..</li><li>The opportunity to change the project and/or develop expertise in an interesting business domain.</li><li>Job conditions &ndash; you can work both fully remotely and from the office or can choose a hybrid variant.</li><li>Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.</li><li>The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities.</li><li>Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.</li><li>Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).</li><li>Certification compensation (AWS, PMP, etc).</li><li>Referral program.</li><li>English courses.</li><li>Private health insurance and compensation for sports activities.</li></ul><p><b>Join us! </b></p><p>Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy</p><p>https://people.andersenlab.com/</p><p>Job Type: Full-time</p><p>Pay: From AED12,000.00 per month</p><p>Work Location: Remote</p>

AI Platform Engineer

<p><b>Project Role : </b>Cloud Platform Engineer<br>
<b>Project Role Description : </b>Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.
<br>
<b>Must have skills : </b>Google BigQuery<br>
<b>Good to have skills : </b>Python (Programming Language)<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally. You will also be responsible for creating proofs of architecture to validate design choices and enhance the overall efficiency of cloud solutions. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality results in a dynamic environment. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to identify and implement best practices in cloud application development. - Assist in the evaluation and selection of cloud technologies and tools to enhance project outcomes. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Good To Have Skills: Experience with Python (Programming Language). - Strong understanding of cloud architecture principles and best practices. - Experience with infrastructure as code tools such as Terraform or CloudFormation. - Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Additional Information: - The candidate should have minimum 3 years of experience in Google BigQuery. - This position is based at our Hyderabad office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Cloud Platform Engineer

Brevo

<div><div>As a Senior Platform Engineer at Brevo, you are a systems architect who treats infrastructure as software. Your goal is to build a resilient, self-service data platform that allows our engineering teams to ship faster without worrying about the underlying storage complexities. You will bridge the gap between deep Linux internals and high-level automation.</div>
<h3 class="jobSectionHeader"><b>Your Impact at Brevo:</b></h3><ul><li><b>
Platform Orchestration:</b> Architect and automate the lifecycle of our data-storage ecosystem (SQL, NoSQL, Object, and File) using <b>Terraform</b> and <b>Ansible</b>.</li><li><b>
Performance Engineering:</b> Go beyond standard setups. Tune kernels, optimise parameters, and deep-dive into <b>PostgreSQL, MongoDB, ClickHouse,</b> and <b>ScyllaDB</b> to squeeze out every millisecond of performance.</li><li><b>
Resilience &amp; Durability:</b> Own the &quot;Worst Case Scenario.&quot; Design and enforce bulletproof backup, replication, and disaster recovery strategies that ensure zero data loss.</li><li><b>
Observability &amp; SRE:</b> Implement deep telemetry. Define and defend <b>SLOs/SLAs</b> and manage error budgets to ensure platform reliability.</li><li><b>
Product Mindset:</b> Treat the platform as a product. Build APIs and self-service workflows that empower developers to provision storage as easily as pushing code.</li><li><b>
Root Cause Analysis:</b> Lead the charge during complex production incidents. Perform deep-dive RCAs to implement systemic fixes rather than just applying patches.</li></ul><h3 class="jobSectionHeader"><b>
Who you are:
</b></h3><ul><li><b>Total Experience: </b>You have a total and relevant experience between 6-9 Years.</li><li><b>
The Linux Specialist:</b> You have a deep-seated love for Linux systems engineering and understand how mission-critical services behave at scale.</li><li><b>
The Polyglot DBA:</b> You are comfortable across multiple data paradigms, whether it&rsquo;s relational (Postgres), NoSQL (Mongo/Scylla), or Object Storage (MinIO/S3).</li><li><b>
Automation First:</b> If you have to do it twice, you automate it. You are proficient in <b>Bash, Python, or Go</b>, and you have built scalable automation frameworks from the ground up.</li><li><b>
SRE Practitioner:</b> You live by SRE principles. You understand that &quot;hope is not a strategy&quot; and rely on metrics, postmortems, and observability to drive engineering decisions.</li><li><b>
Distributed Systems Enthusiast:</b> You understand the nuances of replication lag, CAP theorem trade-offs, and distributed consensus.</li></ul><h3 class="jobSectionHeader"><b>
Why people love working at Brevo:
</b></h3><ul><li><b>A place to grow, together:</b> Join a diverse, international team in a modern office buzzing with energy and ideas.</li><li><b>
Practical perks for everyday balance:</b> Cab Facility and per-day meal vouchers; Employee-friendly salary structure; 1.4x pay on holidays/weekends for critical work; excellent referral program with high-value gift options (e.g., bike, flight tickets)</li><li><b>
Learning, every step of the way:</b> Over 1,55,000 courses on Udemy, along with facilitator-led sessions, and personalised training programs tailored to individual and team needs</li><li><b>
Flexible for life:</b> A hybrid setup (2 days WFH), budget for your home workspace, and a generous leave policy to help you balance life and work effortlessly</li><li><b>
Wellbeing that works:</b> INR 10 Lakh medical insurance, maternity support, childcare facilities, and wellness bonuses to keep you and your family covered</li><li><b>
A culture that cares:</b> Annual company off-sites, inter-office trips, team outings, active social, green, and LGBTQIA+ communities, along with festive celebrations - all making Brevo a vibrant and inclusive workplace.</li></ul><h3 class="jobSectionHeader"><b>
Our candidate journey:
</b></h3><ul><li>Round 1 - Interview with our Deputy Platform Manager</li><li>
Round 2 - Interview with the Platform Engineering Manager.</li><li>
Round 3 - Round with the VP of the Platform.</li><li>
Round 4 - Cultural Fitment Round with the Talent Acquisition team.</li></ul>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Platform Engineer - Data Storage

BioNTech

<div><p>Cambridge, US; Gaithersburg, US; London, United Kingdom; Mainz, Germany | full time | Job ID: 11063</p><br>
<p></p>
<p><b>
About the Role:</b></p><br>
<p>
</p><p>As a Clinical Data Platform Engineer, you will play a pivotal role in maintaining and enhancing BioNTech&rsquo;s GxP-aligned clinical data platform. Built on Databricks and operating on AWS, this platform is implemented using Terraform-based Infrastructure-as-Code (IaC). Your work will be integral to ensuring the platform's reliability, compliance, scalability, and security while supporting high-quality clinical data workflows. Collaborating closely with multidisciplinary teams, you will contribute to advancing BioNTech&rsquo;s mission of revolutionizing medicine and improving global health.</p><br>
<p></p>
<p><b>
Your Contribution:</b></p><br>
<p></p>
<ul>
<li>Partner with Solutions Architects to design and execute platform integrations and roadmaps</li>
<li>Collaborate with Data Engineers to ensure reliable pipeline operations and scalable platform patterns</li>
<li>Work alongside Clinical Data Managers to enable compliant access and workflow readiness</li>
<li>Engage with Cloud, Security, and QA teams to ensure aligned operations within a validated environment</li>
<li>Manage user provisioning and enforce validated configuration baselines for auditability controls</li>
<li>Operate Databricks workspaces across environments while managing supporting AWS components</li></ul><br>
<p></p>
<p><b>
A Good Match:</b></p><br>
<p></p>
<ul>
<li>Bachelor&rsquo;s degree or equivalent experience in computer science, engineering, or related fields with 5&ndash;8+ years of experience in cloud-based data platforms (AWS), and 2&ndash;4+ years in Databricks administration, workspace configuration, and large‑scale data ecosystems</li>
<li>Experience in GxP/GCP environments, auditability, data integrity requirements, and regulated data systems</li>
<li>Familiarity with clinical data ecosystems (CDR/ODR, CRO data ingestion, study onboarding processes)</li>
<li>Strong understanding of the Product Life Cycle of software products</li>
<li>Expertise in Databricks Delta Sharing, service principal management, and multi-workspace architectures</li>
<li>Advanced troubleshooting skills across Databricks compute/runtime environments, AWS infrastructure components, and Terraform state management</li>
<li>Proficiency in AWS IAM policies, KMS encryption services, Secrets Manager functionality, and S3 cloud storage patterns</li>
<li>Practical experience with IAM configurations, network security protocols, S3 patterns for encryption workflows, and cloud governance frameworks</li>
<li>Applied technical proficiency with IaC tools such as Terraform; GitHub version control; automated CI/CD pipelines</li>
<li>Collaborative mindset with excellent communication skills for multidisciplinary team environments</li></ul><br>
<p></p>
<p>
If the position is filled in the US, the Expected Pay Range is 130,800/year to $209,400/year + benefits, annual bonus &amp; equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities. Compensation at other locations may vary significantly.</p><br>
<p></p>
<p><b>Your Benefits:</b></p><br>
<p></p>
<p>BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate&rsquo;s qualifications and experience.</p><br>
<p></p>
<p>Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.</p><br>
<p></p>
<p><b>How to apply:</b></p><br>
<p></p><p>Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.</p><br>
<p></p>
<p>Please note:</p>
<p>Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider &lsquo;HireRight&rsquo;. You will be informed accordingly by your BioNTech-Recruiter.</p><br>
<p></p>
<p>We are looking forward receiving your application.</p>
<div><div><p><b>Inspired? Become part of #TeamBioNTech.</b></p>
<p><b>BioNTech, the story</b></p>
<p>At BioNTech, we are more than just a biotechnology company &ndash; we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting-edge science into survival. Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases.
</p><p>Experience a dynamic workplace that embraces diversity in all its forms. We foster innovation, encourage creativity, and develop business strategies driven by our shared passion for advancing medicine.
</p><p>Working at BioNTech means striving to achieve medical breakthroughs while growing your career in a meaningful way. Apply today and become part of a mission that has the potential to change lives around the world.</p>
<p>BioNTech does not tolerate discrimination, favoritism or harassment based on gender, political views, religion or belief, nationality, ethnic or social origin, age, sexual orientation, marital status, disability, physical appearance, health status or any other physical or personal characteristics. BioNTech is committed to creating a diverse and inclusive work environment. We are proud to be an equal opportunity employer. The main thing is that you suit us, and we suit you!</p>
<p><b>BioNTech - As unique as you</b></p>
<p>www.biontech.com</p></div></div></div><p></p>

(Sr) Manager, Clinical Data Platform Engineer

Qureos

<h2><strong>Backend Engineer — AI &amp; Data Infrastructure</strong></h2><p>&nbsp;</p><p>We are looking for a <strong>Backend Engineer</strong> to build the AI and data infrastructure powering our next-generation talent and evaluation platform. You will work on data modeling, embeddings, feature extraction, pipeline creation, and serving AI-powered insights at scale.<br>&nbsp;</p><p>This is a <strong>hands-on engineering role</strong> focused on scalable AI infrastructure — <strong>not research or prototyping</strong>. You will collaborate closely with engineering and product teams to design systems that process structured and unstructured data, generate semantic representations, and expose intelligence through reliable APIs.<br>&nbsp;</p><h2><strong>Responsibilities</strong><br><strong>&nbsp;</strong></h2><h3><strong>AI &amp; Data Infrastructure</strong><br><strong>&nbsp;</strong></h3><ul><li>Design and maintain data models for structured and unstructured data</li><li>Build data ingestion and processing pipelines</li><li>Implement embedding pipelines and vector search systems</li><li>Develop feature extraction logic using LLMs and smaller models</li><li>Optimize for accuracy, latency, and cost<br>&nbsp;</li></ul><h3><strong>Platform Engineering</strong><br><strong>&nbsp;</strong></h3><ul><li>Design and implement backend services that expose AI-driven insights</li><li>Maintain versioning, evaluation checks, and health monitoring for AI outputs</li><li>Optimize performance, caching, and retrieval logic for semantic data</li><li>Collaborate with engineers to ensure data consistency and reliability<br>&nbsp;</li></ul><h3><strong>Model Integration</strong><br><strong>&nbsp;</strong></h3><ul><li>Integrate LLM APIs, embedding models, and small language models</li><li>Build evaluation harnesses to validate extraction quality</li><li>Monitor drift, degradation, and inconsistencies over time<br>&nbsp;</li></ul><h3><strong>General</strong><br><strong>&nbsp;</strong></h3><ul><li>Write maintainable backend code (Node.js / Python / Go)</li><li>Work cross-functionally with product and engineering teams</li><li>Ensure AI systems are robust, observable, and production-ready<br>&nbsp;</li></ul><h2><strong>Required Skills</strong><br><strong>&nbsp;</strong></h2><ul><li>Strong backend engineering experience</li><li>Experience designing or maintaining data pipelines</li><li>Practical experience with embeddings and vector databases</li><li>Familiarity with LLM application patterns (prompting, extraction, RAG)</li><li>Strong SQL and NoSQL fundamentals</li><li>Ability to design scalable APIs</li><li>Understanding of evaluation metrics for AI systems<br>&nbsp;</li></ul><h2><strong>Nice to Have</strong><br><strong>&nbsp;</strong></h2><ul><li>Experience with LangChain or LlamaIndex</li><li>Experience with smaller open-source models (Llama, Qwen, Mistral, etc.)</li><li>Experience with ETL frameworks (Airflow, Dagster, Temporal)</li><li>Interest in skills-based matching or intelligence systems (optional)<br>&nbsp;</li></ul><h2><strong>Success Indicators</strong><br><strong>&nbsp;</strong></h2><ul><li>AI pipelines are stable, observable, and scalable</li><li>Data processing is efficient and correct</li><li>API services return reliable and consistent insights</li><li>Embedding systems improve retrieval quality over time</li></ul>

AI Data Platform Engineer

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