Oracle Cloud Infrastructure (OCI) Cloud Engineer

As a Senior Data Engineer at CapTech, you will empower our clients by designing and maintaining sophisticated data systems that aggregate information from various sources, facilitating informed decision-making. Our team is dedicated to crafting efficient data pipelines and preparing data for analysis by data scientists, analysts, and other systems. We thrive…

At CapTech Consulting, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that integrate information from various sources, facilitating informed decision-making. We specialize in developing data pipelines and preparing data for utilization by data scientists, analysts, and other data professionals. Our passion lies in problem-solving and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we harness our clients' cloud infrastructure to provide immediate value while ensuring scalability for future demands. We thrive in a collaborative atmosphere, with abundant opportunities for learning and knowledge sharing among developers, architects, and clients.Key responsibilities for the Cloud Data Engineer position include:Creating data pipelines and other data products utilizing Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Advising clients on technologies and methodologies to optimize cloud resources for swift data ingestion and processing.Applying engineering best practices to tackle complex data challenges.Collaborating with end users, development teams, and business analysts to enhance the value derived from client data across the organization.Communicating the architectural distinctions between various solution methods and their respective pros and cons.

As a Senior Data Architect at CapTech, you will align our clients' strategic business objectives with cutting-edge technologies to design successful data delivery implementations. Your expertise will enhance our clients' value by optimizing data utilization, improving information stewardship, and streamlining data processes. By developing a deep understanding of client challenges, you will leverage your experience to identify optimal solutions using state-of-the-art tools and methodologies. We see our Data Architects as thought leaders, responsible for mentoring CapTech talent and enhancing our data and analytics capabilities.Key responsibilities include:Evaluating and promoting data management technologies and practices to bridge the gap between current and desired future states.Crafting and executing strategic plans that improve data integration, quality, and delivery aligned with business initiatives.Analyzing architectural trade-offs across various solutions to recommend the best fit while meeting technical requirements.Leading teams of data engineers and technical professionals in design, implementation, and adherence to best practices.Providing valuable insights to executive stakeholders and development teams to maximize data architecture solutions across the organization.Ensuring that recommended solutions deliver tangible business value and align with client strategy.Communicating effectively with non-technical executives about the advantages of modern enterprise data solutions.Driving innovative technology solutions by sharing insights on emerging trends.Collaborating with colleagues to share project outcomes and enhance future project deliveries.Taking a leadership role within the Data & Analytics practice to foster talent development and capability growth.Partnering with CapTech's business development team to showcase our technical capabilities and propose tailored solutions.

As a Data Architect at CapTech Consulting, you will play a pivotal role in aligning our clients' business objectives with cutting-edge technology solutions to ensure successful data delivery implementations. Our mission is to enhance the value derived from data, improve information stewardship, and streamline data workflows. By gaining a comprehensive understanding of our clients' unique challenges, you will leverage your expertise and the latest tools to identify the most effective solutions. We view our Data Architects as visionaries in the realm of data and expect them to nurture CapTech's talent while expanding our data and analytics capabilities.Key responsibilities include:Evaluating and promoting data management technologies and practices to bridge the gap between current capabilities and targeted future outcomes.Translating strategic plans into actionable initiatives that enhance data integration, quality, and delivery in support of business objectives.Articulating architectural trade-offs and recommending optimal solutions that meet technical requirements.Inspiring and mentoring team members to develop both technical and interpersonal consulting skills.Collaborating with clients and development teams to ensure our data architecture maximizes organizational data value.Driving innovation through thought leadership on emerging technological trends.Sharing insights from project outcomes with colleagues to enhance future project delivery.Partnering with the business development team to showcase CapTech’s technical expertise and articulate proposed solutions and work estimates.

Join StemXpert1 as a Cloud Engineer, where you will play a vital role in designing, implementing, and managing cloud-based solutions that drive efficiency and innovation. Collaborate with our talented team to develop scalable architectures and ensure optimal performance across our cloud infrastructure.

Join our dynamic team at dev2 as a Senior Back End Software Engineer specializing in Go, AWS, and Java. In this pivotal role, you will be responsible for designing and implementing robust back-end systems that power our innovative applications. Your expertise will help us enhance our existing infrastructure and create scalable solutions that meet the demands of our users.We're looking for a proactive engineer who thrives in a collaborative environment and is eager to tackle complex challenges. If you are passionate about technology and eager to make a significant impact, we want to hear from you!

AvePoint delivers solutions for data security, governance, and resilience. Over 25,000 organizations worldwide rely on the AvePoint Confidence Platform to safeguard and manage data across Microsoft, Google, Salesforce, and other collaboration tools. The company works with a global network of managed service providers, resellers, and systems integrators, and its products are available in more than 100 cloud marketplaces. More details can be found at www.avepoint.com. Role overview The Cloud Support Engineer position centers on troubleshooting and maintaining cloud-based services for AvePoint’s clients. The role combines technical problem-solving with customer support, helping organizations adapt to changing digital needs. Work focuses on Microsoft technologies and cloud platforms, with an emphasis on ensuring customer success and supporting advanced technology. What you will do Cloud & AI-driven product support: Build expertise in AvePoint’s software suite, especially Microsoft technologies and cloud platforms such as Azure and Office 365. Diagnose and resolve software issues by analyzing data logs and working with development resources to address complex problems in the Microsoft Cloud. Customer interaction: Engage directly with enterprise clients to help them solve technical challenges within AvePoint’s software ecosystem. Collaborate with developers, product specialists, and customer success managers to advance troubleshooting and cloud support skills. Location This role is based in Richmond, VA, United States.

agecareers is seeking a Cloud Storage Engineer to help build and support scalable cloud storage systems. This position plays a key role in maintaining data integrity, security, and accessibility across several cloud platforms. Key responsibilities Design storage solutions that meet growing organizational requirements Implement and manage storage infrastructure in different cloud environments Monitor systems to uphold data integrity and enforce security protocols Support reliable and accessible data storage for users throughout the organization Work locations Battle Creek, Michigan Columbus, Ohio Dayton, Ohio Fort Belvoir, Virginia Hill AFB, Utah New Cumberland, Pennsylvania Philadelphia, Pennsylvania Richmond, Virginia Tracy, California

About the RoleWe are looking for a highly skilled and experienced Senior DevOps Engineer to join our dynamic technical team. The ideal candidate will possess extensive hands-on expertise in cloud infrastructure automation, CI/CD engineering, and ensuring system reliability. A deep understanding of AWS cloud services and modern DevOps tools is essential.What You'll DoDesign, build, and maintain AWS-based infrastructure using best practices to ensure scalability, reliability, and security.Automate cloud resource provisioning and environment management utilizing Terraform and Ansible.Architect and optimize cloud systems to enhance performance and ensure robust security measures.

Join our dynamic team at the forefront of innovation in the facilities management industry! We are collaborating with a rapidly expanding software startup that is transforming this sector through groundbreaking, industry-first solutions.In this senior, hands-on position, you will play a pivotal role in enhancing CI/CD pipelines, securing cloud infrastructure, troubleshooting intricate production challenges, and driving security improvements. You will also work closely with developers to elevate engineering practices.Your contributions will ensure our environments are secure, scalable, cost-efficient, and operationally sound, while also aiding in the long-term modernization of our platform architecture.This role carries significant responsibilities in core platform security engineering, which includes managing identity and access, data protection, vulnerability management, and implementing ISO 27001-compliant technical controls.Key Responsibilities:Enhance and maintain AWS infrastructure.Work with containerized and serverless workloads.Oversee cloud security posture, including network segmentation, security group design, WAF implementation, and infrastructure hardening in line with best practices (e.g., CIS benchmarks).Refine and maintain CI/CD pipelines.Enhance deployment safety, consistency, rollback capabilities, and release quality.Establish best practices for building, testing, deploying, and promoting environments.Implement security gates to prevent the deployment of high-risk code or misconfigured infrastructure.Manage a structured vulnerability management program, including scanning, prioritization, remediation SLAs, and reporting.Define and enforce identity and access management standards, including role-based access control, least privilege, and automated provisioning and deprovisioning.Support ISO 27001-aligned controls, audit readiness, and technical compliance requirements.Lead or assist in root cause analysis for incidents, outages, and major performance issues.Drive preventative improvements following production incidents.Facilitate a transition from reactive firefighting to disciplined operational management within engineering.Implement and manage centralized logging and security monitoring, with alerting in alignment with security risks and incidents.Collaborate with software engineers on best practices for infrastructure, deployment, and operations.Provide clear recommendations to engineering leadership regarding operational risk, priorities, and trade-offs.

About AvePoint AvePoint is a global provider of data protection solutions, focused on data security, governance, and resilience. The AvePoint Confidence Platform supports over 28,000 customers, helping safeguard, govern, and recover data across cloud platforms like Microsoft, Google, and Salesforce. The platform offers lifecycle management, multicloud governance, and rapid recovery to help organizations reduce data sprawl, update legacy systems, and prevent data loss. AvePoint works with approximately 6,000 managed service providers, value-added resellers, and system integrators. Solutions are available in more than 100 cloud marketplaces. Learn more at www.avepoint.com. The company values agility, passion, and collaboration, supporting team members' growth and development. Role Overview The Revenue Operations Go-To-Market Engineer will design and build the technical infrastructure that powers AvePoint's revenue operations. This position sits within Revenue Operations (RevOps) and treats go-to-market execution as an engineered system, not a manual process. Collaboration spans Sales, Marketing, Product, and Customer Success teams. The engineer will create automation that connects CRM, marketing tools, product telemetry, support systems, and financial workflows into a scalable, real-time operational framework.

At CapTech, our Machine Learning Engineers play a pivotal role in crafting and executing data-driven strategies tailored for our clients. We focus on developing and deploying scalable machine learning systems within enterprise contexts. Our collaborative workplace fosters continuous learning and knowledge sharing among our analysts, architects, and clients.Key responsibilities of the Machine Learning Engineer role include:Collaborating with clients, data scientists, engineers, and cross-functional teams to implement comprehensive machine learning solutions while exploring innovative data science techniques to address business challenges.Translating client requirements into analytical frameworks and data-driven models.Processing and analyzing extensive datasets across various enterprise data platforms (e.g., AWS, Azure, GCP).Creating, developing, and deploying advanced analytical models using client data (e.g., recommendation systems, natural language processing, risk assessment).Optimizing and scaling machine learning systems to meet client specifications effectively.Enhancing CapTech’s Machine Learning and Data Science initiatives by delivering client presentations, crafting proposals, participating in business development activities, and mentoring junior data scientists and engineers.

As a Lead Machine Learning Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-centric solutions for our diverse clientele. Your focus will be on developing and deploying robust machine learning systems tailored for enterprise settings. At CapTech, we foster a collaborative atmosphere that encourages continuous learning and knowledge sharing among our team members, including analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to strategize and implement comprehensive machine learning solutions, while exploring novel approaches to address business challenges.Provide technical leadership, ensuring alignment of technical solutions with client requirements across teams.Translate client needs into actionable data-driven processes, models, and analytical metrics.Conduct analysis and transformation of extensive datasets across various enterprise-level platforms such as AWS, Azure, and GCP.Design, develop, and deploy advanced analytical models utilizing client data, including recommender systems, natural language processing, and risk scoring methodologies.Enhance the production of machine learning systems with a strong emphasis on optimization and scalability to meet client specifications.Contribute to the growth of CapTech’s Machine Learning and Data Science practices by delivering client presentations, drafting proposals, attending business development events, and mentoring junior data scientists and engineers.

About the RoleThis Senior Data Developer position is centered around designing and implementing comprehensive data integration and ETL solutions that cater to the analytics and business intelligence requirements of UniUni. You will be responsible for creating scalable data models, converting raw data into high-quality datasets, and developing reusable data tools and analytical applications. Collaboration with cross-functional teams—including Finance, Operations, and Executives—is essential to ensure effective data provisioning and the upkeep of key technical documentation. This role significantly influences our data strategy, enhances data reliability, and provides vital technical support for BI initiatives, all while fostering a culture of continuous improvement and learning.What You'll DoDesign, build, and maintain robust data integration and ETL pipelines.Create and develop data models, transformation processes, and metadata to convert raw data into formats suitable for BI platforms, including reporting, data mining, machine learning, and advanced analytics.Implement and support data provisioning that addresses the analytics needs of various business units, while adhering to and enhancing BI standards and best practices across the organization.Continuously improve data reliability, efficiency, and quality.

Tiger Analytics, a leader in advanced analytics consulting, is seeking a skilled Data Analyst to join our dynamic team. As the trusted analytics partner for several Fortune 500 companies, we empower organizations to unlock significant business value from their data. Our excellence in analytics has been recognized by esteemed market research firms like Forrester and Gartner. We are committed to building an exceptional global analytics consulting team and are looking for talented individuals to join us on this journey.In this role, you will leverage your expertise in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will possess hands-on experience with Ab Initio for ETL, adeptly constructing data pipelines and performing comprehensive data analysis to facilitate informed business decisions.This position requires a professional who is comfortable navigating large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced setting.

About AvePoint: AvePoint is a pioneering force in data management and governance, trusted by over 21,000 customers around the globe. Our innovative solutions empower organizations to enhance their digital workplaces across platforms such as Microsoft, Google, and Salesforce. With a robust global channel partner program that includes more than 3,500 managed service providers and integrators, our offerings are accessible in over 100 cloud marketplaces. Discover more at www.avepoint.com. At AvePoint, we prioritize investing in our employees. Our culture thrives on agility, passion, and teamwork, enabling you to shape your career, make a significant impact, and take charge of your future. About the Role: Are you ready to utilize your technical knowledge and customer engagement skills in an exciting, fast-paced tech environment? This role offers a unique opportunity to shine as a pre-sales professional, working with state-of-the-art software solutions. We are dedicated to providing continuous training and mentorship to ensure your success as a sales engineer. Key Responsibilities: As a vital technical lead, you will collaborate closely with our partner account managers throughout the sales lifecycle of our Elements/Channel business. In this consultative role, you will contribute to closing new deals by delivering impactful technical presentations of AvePoint solutions and extending pre-sales support to both potential and existing partners and customers.

We are seeking a highly skilled Senior Manager for our Cyber Technical team, focusing on Data Loss Prevention (DLP) Engineering. In this pivotal role, you will lead a dynamic team of engineers and analysts, dedicated to safeguarding our organization’s data assets. Your expertise will drive the development and implementation of advanced DLP strategies to mitigate risks and ensure compliance with industry standards.Key Responsibilities:Develop and execute comprehensive DLP strategies and solutions.Lead and mentor a team of cybersecurity professionals.Collaborate with cross-functional teams to identify and address data protection needs.Monitor, assess, and report on the effectiveness of DLP initiatives.

Join timmonsgroup as the Data Center Civil Engineering Practice Leader and drive the future of our civil engineering initiatives within state-of-the-art data center projects. This role demands a visionary leader who can architect innovative design solutions while guiding a talented engineering team. You will collaborate with cross-functional teams to ensure the successful execution of projects, fostering a culture of excellence and innovation.

Tiger Analytics, a leader in advanced analytics consulting, is actively seeking a skilled Java Application Developer to join our dynamic team. We partner with numerous Fortune 500 companies, helping them leverage data to drive significant business value. Recognized by industry experts, including Forrester and Gartner, our commitment to excellence continues to set us apart as we build a top-tier analytics consulting group globally.As a Java Application Developer, you will play a crucial role in designing, developing, and maintaining scalable microservices-based applications. The ideal candidate will possess extensive experience in Java and cloud-native development, particularly on AWS, alongside proficiency in containerization, DevOps practices, and application performance monitoring.This position demands a hands-on technical background, a solid architectural understanding, and the capability to thrive in a fast-paced, hybrid work environment.

Join our dynamic team at Turner Townsend as a Senior Estimator specializing in Data Center Construction. In this pivotal role, you will leverage your expertise to deliver accurate cost estimates and ensure successful project execution. You will collaborate with cross-functional teams, providing critical insights that drive project efficiency and profitability.Your leadership will guide junior estimators and contribute to the overall growth of the company.