Product Owner

Senior Data Scientist II

Java Tech Lead/Architect

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

Responsibilities: <ul><li>Develop Cloud platform software and collaborate across engineering groups to maximize the use of common emerging platform technologies, conventions and technological building blocks.</li><li>Communicate across functions and other stakeholders and drive engineering initiatives&nbsp;</li><li>Introduce and maintain AGILE SDLC best practices in the team.&nbsp;</li><li>Participate in Code Review, Technical design discussion&nbsp;</li><li>Be a subject matter expert in the Public Cloud and On-Prem based platforms</li><li>Craft project status reporting and deliver executive briefings to update senior leaders and stakeholders.</li><li>Understand product use case and communicate technically with local and remote engineering teams.</li><li>Develop strong working relationships with cross functional teams to best understand and deliver on business goals and priorities.</li></ul> Requirements: <ul><li>10+ years of software engineering work experience, including hands-on technical management.</li><li>In-depth knowledge on NMS and other network software</li><li>7+ years’ experience coding in one of the following languages: Go and Python.</li><li>Experience with Docker and Kubernetes for deployment and orchestration.</li><li>Hands-on knowledge on Public Cloud Services and infrastructure.&nbsp;</li><li>7+ years’ of demonstrated experience recruiting and managing technical teams, including performance management</li><li>Well versed in Agile Project Management processes. Able to deal well with rapid changes and manage through long projects</li><li>Strong verbal and written communications skills are a must, as well as the ability to work effectively across global internal and external organizations and remote teams</li><li>Education – BE/B.Tech in Computer/Electronic &amp; Telecommunication Engineering&nbsp;</li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Responsibilities: <ul><li>Own the Cloud based Secure Connectivity and network management platform architecture.</li><li>Use tools and methodologies to create representations for functions and user interface of desired product</li><li>Develop high-level product specifications with attention to system integration and feasibility</li><li>Define all aspects of development from appropriate technology and workflow to coding standards</li><li>Successfully communicate all concepts and guidelines to development team</li><li>Oversee progress of development team to ensure consistency with initial design</li><li>Provide technical guidance and coaching to developers and engineers</li><li>Ensure software meets all requirements of quality, security, modifiability, extensibility etc.</li><li>Approve final product before launch</li></ul> Requirements: <ul><li>8+ years of experience in VPN ,Network management software system design.</li><li>Proficient in Java,J2EE, Microservices, Spring and SpringBoot framework.</li><li>Experienced in network engineering with strong understanding on IP addressing, routing, firewall, ACLs, NATs &amp;PATs, VLANs, etc.</li><li>Knowledge on VPN solutions e.g.,SoftEther, Wireguard, IPSEC.</li><li>Must have experience on Cloud based multi-tenant networking solutions design.</li><li>Hands-on knowledge on Docker Networking and Containerization framework.</li></ul>

Responsibilities: <ul><li>Act as a conduit between Global Architecture (Enterprise Architects) and the Engineering teams..</li><li>Work across/with Architects from different organizations.</li><li>Introduce/train teams with new technology.</li><li>Lead teams toward problem-resolution identifying, researching, &amp; coordinating with resources.</li><li>Evaluate new technologies and their applicability to the business.</li><li>Drive technical direction and architecture evolution via reviews and on-floor leadership.</li><li>Actively monitor the Business Unit system health and design and write proposals.</li><li>Proactively monitor new development to discover subsystems</li><li>Proactively research, monitor, learn, and assess industry/technology advancements</li><li>All other duties as assigned.</li></ul> Requirements: <ul><li>Strong understanding of programming languages, code, and database.</li><li>Expert-level knowledge in programming language(s); e.g., .Net, Java, HTML, Perl, C++, C#, PHP, etc.; or expert level in engineering discipline.</li><li>Expert in a plurality of the following technologies: Parallel and Distributed Processing Systems, Information Retrieval, Data Mining,&nbsp;NaturalLanguage Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing.</li><li>Solid working knowledge in a plurality of the following areas: Network Design (LAN and WAN), Storage System Architectures,&nbsp;Service.</li><li>Oriented Architecture technologies, XML and XSLT, and Parallel Processing Architectures (such as SMP and NUMA).</li><li>Experience with a plurality of the following operating systems: Windows Server, UNIX (Linux), and z/OS.</li><li>Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity.</li><li>Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making.</li></ul>

Responsibilities: <ul><li>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

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5 containerization orchestration Jobs found

Product Owner

Senior Data Scientist II

Java Tech Lead/Architect

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

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Product Owner

Senior Data Scientist II

Java Tech Lead/Architect

Cloud Solutions Architect

Consulting Principal AWS Cloud Engineer

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