Gorilla Logic

Account Executive

• Identify, develop, and close new business opportunities across existing clients
• Develop and execute sales and campaign strategy tailored to automotive and manufacturing
• Manage the full sales lifecycle, from prospecting and qualification through proposal, negotiation, and contract closure
• Build and execute strong enterprise account plans
• Build and sustain long-term relationships with C-suite and senior technology leaders
• Collaborate with solution architect, and marketing teams to create compelling ABM campaigns and pipeline
• Lead client presentations and proposals articulating Gorilla Logic’s value
• Drive the contracting process for both new and renewal business
• Maintain accurate pipeline forecasts and CRM hygiene
• Represent Gorilla Logic at industry events
• Stay informed about industry trends and emerging technologies

Senior Sales Executive – IT Services, Automotive and Manufacturing

Chief Technology Officer

• Define and communicate Gorilla Logic’s technical vision aligned to business strategy and market positioning
• Act as a connective leader across Sales, Solutions Engineering, and Delivery
• Provide architectural guidance and modernization leadership across client engagements
• Stay current on emerging AI, cloud, and software engineering trends and translate them into pragmatic customer value
• Mentor senior technical leaders and develop the next generation of engineering leadership

Chief Technology Officer – CTO

Product Designer

• Gather and evaluate user requirements, to create visual designs, prototypes, and build navigation components as well as reviewing current-state systems and applications
• Develops high-level, detailed storyboards, sitemaps, mock-ups, user maps, and prototypes to effectively communicate and articulate complex ideas and reach a shared understanding
• Create and scale design systems to make a clean and consistent experience using design best practices
• Participate in agile ceremonies to collaborate, ship, and improve products, working alongside engineers and product managers throughout all stages of the production cycle
• Articulate design decisions to a variety of audiences, including tech leads, clients, and project owners
• Collaborate with the Product Owner, create high-level requirements and make sure the implementation aligns with the vision.

Senior UI/UX Designer – Fulltime, Digital Product Development

Data Analyst

• Develop deep understanding of client data environments, data stores, and business processes
• Act as a primary steward for the enterprise data catalog and metadata management solutions (e.g., Microsoft Purview)
• Support and enforce data governance, lineage, and data quality practices across analytics and software products
• Perform data analysis, research, and querying to support operational, compliance, and BI use cases
• Design, develop, and optimize data pipelines using Azure Synapse Analytics and Azure Data Factory
• Apply PySpark for large-scale data processing and advanced analytics
• Collaborate closely with Enterprise Data Architects on data modeling and platform initiatives
• Support Agile teams by creating and refining data models, features, and user stories
• Actively manage and deliver items from the data product backlog
• Maintain and extend enterprise data warehouses and compliance-focused data stores
• Build and maintain enterprise reporting solutions using SSRS and Power BI
• Partner with cross-functional teams to ensure data accuracy, consistency, and integrity
• Learn and apply industry data standards (e.g., MISMO, Fannie Mae, Freddie Mac) as required by the client
• Contribute positively to Gorilla Logic’s collaborative, inclusive, and high-performance culture

Senior Data Analyst

Engineering Manager

• Provide hands-on technical leadership across teams, participating in architecture discussions, code reviews, and technical decision-making.
• Guide teams in modern architecture patterns such as microservices, event-driven systems, and modular monoliths.
• Ensure engineering solutions align with cloud-native best practices (AWS, Azure, or GCP).
• Support design reviews, technical spikes, and proof-of-concepts when needed.
• Lead and mentor developers, QA engineers, DevOps, and other engineering roles.
• Coach technical leads and senior engineers, supporting career growth and leadership development.
• Own performance management, feedback, promotions, and compensation processes.
• Address conflict, performance challenges, and team dynamics proactively and constructively.
• Own scope, schedule, quality, and delivery outcomes end-to-end for assigned engagements.
• Be actively involved in day-to-day delivery activities, including standups, unblockers, and release coordination.
• Track and manage delivery metrics such as cycle time, throughput, DORA metrics, SLAs/SLOs, and velocity.
• Identify and manage dependencies, risks, and blockers to ensure predictable delivery.
• Act as a technical point of contact for clients, participating in architecture reviews, delivery updates, and QBRs.
• Clearly communicate risks, trade-offs, and delivery status to both technical and executive stakeholders.
• Support proposals, estimates, statements of work, and account growth initiatives in collaboration with sales and leadership teams.
• Understand and support forecasting, staffing, utilization, margin, and team allocation for assigned engagements.
• Partner with delivery and leadership teams to ensure the financial health and sustainability of projects.
• Balance delivery excellence with cost, efficiency, and long-term scalability.

Technical Engineering Manager

Engineer

• Review and refactor Python and Kotlin code to remove redundant or unused log events.
• Reduce log volume and operational costs by improving logging patterns and standards.
• Analyze log data to identify high-volume and high-cost sources.
• Translate data insights into concrete architectural and engineering improvements.
• Support engineering teams with observability tooling, configuration, and best practices.
• Document findings, decisions, and long-term recommendations.
• Own the initiative end to end, from discovery through implementation.

Observability Engineer

Backend Engineer

• Work with your Tech Lead and Engineering Manager to break down complex initiatives into clear, actionable tasks and deliver them iteratively.
• Develop, maintain, and enhance backend services and APIs primarily using Kotlin, with interoperability in Java where applicable.
• Collaborate with other engineers to ensure reliable, scalable, and maintainable solutions across multiple systems.
• Navigate, debug, and improve large codebases, including code written by other team members.
• Participate actively in code reviews, providing constructive feedback and ensuring adherence to coding standards and best practices.
• Communicate effectively with cross-functional and globally distributed teams to support alignment and timely delivery.

Kotlin Engineer

• Own and optimize the cost efficiency of mainly our AWS infrastructure
• Build and maintain AWS cost dashboards (FinOut or CloudZero) with service-level and team-level breakdowns.
• Implement and enforce cost allocation tagging policies across accounts and namespaces.
• Develop real-time spend monitoring and anomaly detection
• Identify and drive compute, storage, and network optimizations
• Partner with Capacity Engineering to enhance cluster auto-scaling, node pooling, and container rightsizing strategies.
• Automate optimization tasks via Terraform or Cloud Custodian.
• Champion FinOps culture across engineering teams — shared responsibility for cloud efficiency.

Cloud Cost Engineer

• Design new data infrastructures, including the Lakehouse, data warehouses, dataflows, data pipelines, semantic models, and reports.
• Migrate large-scale data stores from the existing on-premises SQL Server infrastructure to the new Microsoft Fabric-based infrastructure.
• Classify and organize data base on identified taxonomy structures.
• Work with the data architect to ensure that the data is of high quality and meets the organization’s requirements.
• Optimize data processing by using modern data engineering tools such as notebooks, dataflows, data pipelines, semantic models, and reports.
• Provide technical expertise during the design, planning, design, development, implementation, and testing of digital solutions, often custom developed and integrating new technologies.
• Understand technological systems and strategic vision and help facilitate the technical portion to produce integrated end-to-end digital solution options.
• Participate in cross-project planning and release planning activities.
• Serve as a stakeholder of the technical backlog: identify opportunities in our system, capturing the ideas in user stories, and meeting with other stakeholders to prioritize them.
• Write and maintain concise documentation about our development process and major systems.
• Build scalable, maintainable, easy-to-use software following our development best-practices and requirements laid out by the architect and the development team.
• Create and maintain the build, deployment, and test automation portions of our DevOps pipeline.
• Collaborate with product owner and end-users to understand any desired business functionality and craft intuitive, responsive UIs to match.
• Regularly review application logs and dashboards to proactively monitor for defects, gauge performance, and troubleshoot production problems.
• Participate in the development of logical and detailed design deliverables (e.g. storyboards, activity/state diagrams, class diagrams, sequence diagrams, etc.) for each application component based on enterprise conceptual designs.
• Keep up-to-date on cutting edge technology, standards, protocols and tools in areas relevant to the rapidly changing digital environment.
• Troubleshoot and support user acceptance testing, rollout efforts and the team’s systems in each environment.

Data/Business Engineer

Infrastructure Engineer

• Operate and support production-grade data infrastructure across batch, lakehouse, or streaming environments
• Improve reliability through automation, monitoring, observability, and incident response
• Build, maintain, and optimize data pipelines and platform tooling
• Support upgrades, migrations, and platform evolution initiatives
• Collaborate closely with data engineers, analytics teams, and platform stakeholders
• Handle KTLO work, including maintenance, troubleshooting, and documentation
• Apply infrastructure best practices using cloud-native and IaC approaches