Build the software and cloud foundations that make Avaya Infinity analytics reliable, secure, and useful.
Compensation
The pay range for this opportunity is from $179,127 to $234,100 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position.
Responsibilities
Translate product goals into practical architecture, clear interfaces, and achievable delivery plans.
Implement critical services and integrations yourself.
Build reliable APIs and event-driven services, preserving data correctness, tenant isolation, compatibility, and predictable behavior during failures.
Design and maintain production infrastructure as code with Terraform, including reusable modules, state management, environment configuration, and safe lifecycle changes.
Author, troubleshoot, and improve GitHub Actions workflows for infrastructure and application delivery, including automated tests, secure cloud authentication, artifact promotion, and controlled releases.
Requirements
Bachelor degree in Computer Science or Engineering
Support software deployment environment, maintain lab tooling and version control, create and deploy test scripts, troubleshoot deployments, and develop unit tests.
Responsibilities
Supporting lab tooling and version control through CI/CD pipelines
Creating and deploying test scripts
Supporting and troubleshooting software deployment onto custom servers
Supporting configuration management processes
Supporting and developing unit testing and tailoring of rule sets
Requirements
Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
The primary role of the Data Engineer is to function as a critical member of a data team by designing data integration solutions that deliver business value in line with the company’s objectives.
Compensation
Compensation: $45.00 - $55.00 per hour on W2
Responsibilities
Design and develop data/batch processing solutions
Design and develop data manipulation, mining, and extraction/transformation/loading pipelines
Implement ETL processes using Python and Pyspark
Utilize AWS services such as Glue, Lambda, MSK, S3, Step Functions, RDS, EKS
Develop and maintain SQL databases including Postgres, SQL Server, Oracle, Sybase
Lead monitoring of enterprise desktop environment, coordinating detection, analysis, and remediation across a global, follow‑the‑sun model.
Responsibilities
Provide continuous, proactive monitoring of the enterprise desktop environment - desktops, laptops and virtual desktop infrastructure - as part of a follow‑the‑sun model
Detect anomalies through trend, threshold and behavioral change analysis before users are impacted
Validate alerts, assess business impact, and select the correct intervention: a targeted user campaign, a self‑healing action, or an engineering escalation
Deep dive into discovered issues rather than closing them at the symptom, documenting the underlying cause and the evidence behind it
Identify trends, recurring issues and systemic weaknesses in the desktop estate and raise them with the appropriate owners
Design, develop, test, deploy, and maintain full‑stack web applications and secure portals, including user interfaces, backend services, REST APIs, data integrations, and production support.
Responsibilities
Collaborate with technical and business teams to translate requirements into scalable solutions, integrate cloud services and data platforms, and support automated testing, CI/CD, security, and application maintenance.
Lead the design, governance, and evolution of the organization’s enterprise data environment, ensuring secure, compliant, and high-quality data for decision-making and AI readiness.
Compensation
The salary range is $100,000.00 to $120,000.00
Responsibilities
Lead the organization’s Data Governance framework
Ensure secure and compliant management of sensitive information
Develop and maintain data governance processes
Design, develop, and maintain the enterprise data platform
Establish and maintain data models and integration patterns
Requirements
Bachelor’s degree in data engineering, information systems, health informatics, or related field
Support clean energy research, analytics, and consulting projects by managing portfolios, conducting quantitative and qualitative analysis, and delivering actionable client recommendations.
Compensation
The salary range for this position is $70,000 - $95,000.
Responsibilities
Provide project management and technical support in close collaboration with project managers and principals to ensure timely delivery of high-quality consulting solutions.
Manage key aspects of Cadmus research and evaluation projects, including budget tracking, invoicing, project planning, scheduling, resource management, and coordination of research and analytical activities.
Contribute to quantitative and qualitative research and analysis, including analysis of utility program, customer, market, demographic, and energy-use data.
Support market research and market characterization studies, including primary and secondary research, literature and data reviews, surveys, interviews, and other qualitative and quantitative research methods.
Analyze data to identify market trends, customer characteristics, participation barriers, program opportunities, and other insights relevant to clean energy programs and strategies.
Requirements
Undergraduate degree in economics, business, statistics, data analytics, environmental studies, energy, public policy, social sciences, engineering, or a related quantitative or research-oriented field.
Lead Manufacturing Technology Engineer responsible for driving technical solutions that bridge production and digital capabilities to improve manufacturing processes.
Responsibilities
Identify, develop and implement automation and digital solutions that improve manufacturing processes, quality and productivity.
Translate production needs into technical requirements and act as the interface between manufacturing, quality, software developers and stakeholders.
Develop and evaluate concepts, proofs of concept and scalable solutions using software, equipment integration, data collection and visualisation.
Ensure solutions are robust, user-friendly and compliant with applicable QMS, validation, data-integrity and EHS requirements.
Lead complex manufacturing technology projects from opportunity assessment and business case through implementation and benefit realisation.
Requirements
Bachelor’s or master’s degree in engineering, or equivalent technical education.
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