Mindex

Data Engineer

• Design and implement scalable, high-performance data architectures across cloud and hybrid environments
• Define and enforce data modeling standards, including conceptual, logical, and physical data models
• Build and optimize enterprise data pipelines and data integration frameworks to support analytics and operational use cases
• Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services
• Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into robust data solutions
• Establish and maintain data governance, data quality, and metadata management frameworks
• Ensure data privacy, security, and compliance requirements are met across all platforms and pipelines
• Lead architecture decisions for data storage solutions including data lakes, data warehouses, and real-time data processing systems
• Optimize performance and cost efficiency of data platforms and workloads
• Support Agile delivery frameworks and contribute to sprint planning, backlog grooming, and architectural roadmaps
• Implement and oversee CI/CD pipelines and infrastructure-as-code practices for data solutions
• Evaluate emerging technologies and recommend solutions to enhance data capabilities

Data Architect

• Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources.
• Provide operational support and troubleshooting for existing processes and systems.
• Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities.
• Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform.
• Ensure data extraction, transformation and loading data meet data security & compliance requirements.
• Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.
• Create data tools for data scientist team members that assist them in building and optimizing models.

Account Executive

• Prospecting and lead generation: Identifying potential customers and generating new leads through various channels, such as cold calling, email campaigns, networking, and referrals.
• Consultative selling: Understanding the customer's business needs and challenges to provide tailored cloud solutions that address their specific requirements.
• Product knowledge: Developing a deep understanding of the cloud-based products and services offered by the company, including features, benefits, and competitive advantages.
• Sales presentations and demonstrations: Delivering compelling sales presentations and conducting product demonstrations to showcase the value and capabilities of the cloud solutions being offered.
• Relationship building: Building strong relationships with customers and Cloud Partners like AWS and Azure, to establish rapport to gain trust and confidence in the company's cloud offerings.
• Negotiation and closing deals: Negotiating pricing, terms, and contracts to secure new business and close deals with customers, ensuring mutual satisfaction and meeting sales targets.
• Account management: Managing and nurturing existing customer accounts, identifying upselling and cross-selling opportunities, and ensuring customer satisfaction and retention.
• Market research and competition analysis: Keeping up-to-date with industry trends, market dynamics, and competitors to stay ahead in the cloud services market and provide insights for sales strategies.
• Collaboration: Collaborating with cross-functional teams, including marketing, product development, and customer support, to ensure a seamless customer experience and effective sales strategies.
• Sales reporting: Keeping accurate records of sales activities, customer interactions, and sales pipeline using CRM (Customer Relationship Management) tools, and providing regular reports to management.
• Achieve monthly sales quota.

AI & Cloud Sales Executive

• Identify and research target accounts across key industries aligned with Mindex’s growth goals
• Conduct outbound outreach via phone, email, and LinkedIn to decision-makers and influencers
• Manage high-volume prospecting and follow-up activities with a focus on quality conversations
• Nurture and qualify Marketing Qualified Leads (MQLs)
• Qualify opportunities by uncovering business needs, budget, authority, and timeline
• Schedule discovery and introductory meetings for the Sales team
• Learn and apply consultative selling techniques and value-based messaging
• Build working knowledge of Mindex’s cloud, data, and custom software solutions
• Partner with Sales, Marketing, and technical teams to support effective sales motions
• Maintain accurate CRM records of activity, conversations, and pipeline
• Track outreach activity metrics and assist with regular sales reporting
• Continuously refine prospecting and outreach strategies using data insights

AI & Cloud Outbound Sales Representative

Full-stack Engineer

• Design and develop technical software solutions.
• Write and perform testing, assist in determining the scope for testing requirements agreed-upon by the team or business unit.
• Provide ongoing support and enhancements for new and existing systems and platforms.
• Use a systematic approach to debug issues located within a single application.
• Understand a portion of the team's applications and gain sufficient context to work productively in that portion.
• Design functions that are aligned with the overall service architecture.
• Understand the importance of security and utilize this knowledge to ask more senior engineers for help on making decisions that may have security implications.
• Document each aspect of a system's application.
• Collaborate cross-functionally with team members and customers to ensure effective and efficient implementation of solutions.
• Telecommuting benefit offered – may work remotely from anywhere within the U.S

Software Engineer

Cloud Engineer

• Collaborative Implementation: Work alongside Software Engineering to deploy and configure the AWS resources required for new product features, ensuring they align with established platform standards.
• Infrastructure Automation: Develop and update Infrastructure-as-Code (IaC) templates (Terraform or CloudFormation) to manage our SaaS environments, moving away from manual configurations to repeatable automation.
• Environment Support: Manage and troubleshoot the health of our Windows based cloud instances, ensuring high availability for our customer base.
• Deployment Support: Assist in managing CI/CD pipelines to facilitate smooth code releases. Help troubleshoot deployment failures to ensure minimal impact on the development lifecycle.
• Proactive Monitoring: Configure and maintain monitoring, logging, and alerting systems (such as CloudWatch) to provide visibility into platform performance and identify potential issues before they impact users.
• Security & Compliance Tasks: Implement security best practices as directed, including managing IAM roles, VPC configurations, and security group updates to maintain a hardened SaaS posture.
• Resource Optimization: Monitor resource utilization and assist in executing cost-optimization tasks, such as decommissioning unused resources or adjusting instance types for better efficiency.
• Incident Support: Participate in the incident management process by investigating technical alerts, performing initial root-cause analysis, and coordinating with senior engineers and developers for resolution.
• Continuous Learning: Stay current on AWS services and DevOps tools, contributing to the team’s documentation and helping to refine internal operational processes.
• Availability: Participate in a team on-call rotation and perform scheduled after-hours technical work to support platform stability and high-priority maintenance.

Scrum Master

• Coach teams, managers, and delivery leaders using a practical, collaborative approach that improves transparency, flow, and continuous learning.
• Assess team health, delivery flow, system constraints, and ways of working, then co-design improvements that reflect real business needs, team context, and the broader operating environment.
• Facilitate planning, feedback, and flow-management cadences in ways that are useful and sustainable, adapting structure and frequency to what the team actually needs.
• Step into hands-on facilitation, execution support, and workflow problem-solving when teams need practical help, especially in fast-paced or interrupt-driven environments.
• Partner with client stakeholders and internal coaching leaders to align on team-level improvements, remove impediments, strengthen execution, and build trusted relationships across teams and leadership groups.
• Use delivery metrics, data, and visual reporting when appropriate to improve visibility, support decision-making, and help teams learn over time.

Agile Coach

Cloud Sales Executive

Sales Development Rep

• Driving new qualified leads and initiating the sales cycle.
• Sourcing leads and managing the pipeline of cloud opportunities for new customers.
• Being motivated, organized, and driven in a fast-paced environment.
• Working well under pressure while managing and prioritizing multiple sales campaigns.
• Possessing excellent communication and organizational skills, being approachable, proactive, and detail-oriented.