Jobs at Ness Digital Engineering

Develop and lead automated testing solutions across web, API, database, and services layers. Build reusable Selenium and Python frameworks, create test plans and cases, execute functional and regression testing, analyze results, manage defects, and report quality metrics. Collaborate with development teams in Agile environments, review test artifacts, perform risk analysis, and validate data transformations, migrations, and complex SQL queries. Support DevOps pipelines, containerized environments, and testing of cloud-based microservices.

Leads a globally distributed Salesforce L1 support organization, overseeing end-user assistance, incident and request queues, SLA compliance, first-contact resolution, major incident triage, team and vendor performance, knowledge management, and continuous improvement. The role drives Salesforce adoption, coordinates with L2/L3 teams, manages support coverage across time zones, and provides executive reporting on service health and user pain points.

Leads a team of 3–5 Salesforce developers while designing, developing, testing, and deploying scalable Salesforce applications and managed packages. Partners with stakeholders on requirements, architecture, integrations, and technical strategy; troubleshoots production issues across client accounts; and drives coding standards, CI/CD, version control, release coordination, and team mentoring.

Design, develop, and optimize scalable Salesforce solutions using Apex, LWC, Aura, Visualforce, SOQL, Flows, and declarative tools. Translate business requirements, customize Salesforce clouds, lead integrations and data migrations, manage deployments, write tests, troubleshoot issues, and support clients post-implementation. The role also involves stakeholder consulting, technical leadership, training, and applying Salesforce DX, Git, and CI/CD best practices.

Designs, develops, and optimizes Salesforce solutions using Apex, LWC, Aura, Visualforce, SOQL, Flows, and declarative tools. Responsibilities include integrations, data migration, deployment management, unit testing, debugging, CI/CD, stakeholder consulting, training, and post-implementation support across Salesforce clouds and enterprise environments.

Leads enterprise Data and AI transformation initiatives for strategic clients, advising C-suite stakeholders, defining strategies and roadmaps, identifying AI and automation opportunities, shaping solutions, and overseeing execution. Builds modern data, analytics, AI/ML, GenAI, and governance capabilities while managing complex engagements, distributed multidisciplinary teams, commercial proposals, business cases, and executive relationships. Success includes business growth, thought leadership, adoption of agentic AI, and measurable business outcomes.

Owns the administration, security, performance, and reliability of the Microsoft Azure environment, with emphasis on Azure Virtual Desktop and FSLogix. Leads the transition from an MSP to internal operations, including knowledge transfer, documentation, runbooks, governance, monitoring, patching, automation, and continuous improvement. Administers Azure infrastructure, Entra ID, Active Directory, Intune, networking, backup, disaster recovery, and security controls while providing support to multiple locations and remote users.

Lead development and support for internal web applications. Build scalable React front ends and Java-based back-end services, RESTful APIs, and microservices. Manage Oracle and PostgreSQL databases, optimize application performance, implement security measures, and support deployments using DevOps tools. Collaborate with stakeholders in Agile sprint ceremonies while contributing to enterprise application architecture, testing, and troubleshooting.

Lead the design, development, testing, deployment, and technical direction of scalable Python backend applications on AWS. Build REST APIs, microservices, event-driven architectures, and secure cloud-native solutions. Guide backend developers, establish engineering standards, review code, optimize databases and performance, and collaborate with architecture, product, DevOps, QA, security, and business teams. Drive CI/CD, automated testing, infrastructure automation, observability, production support, incident resolution, and financial-services security and compliance.

Lead the architecture, development, and deployment of complex MuleSoft integration solutions for enterprise and healthcare environments. Design APIs, data migrations, hybrid deployments, reusable integration assets, and secure API gateways. Mentor technical teams, establish architecture and governance standards, develop CI/CD pipelines, support production issues, and implement data transformations using DataWeave across HL7, FHIR, JSON, XML, and other formats. Collaborate with stakeholders and guide end-to-end solution delivery.

Designs and maintains CI/CD pipelines, cloud infrastructure, infrastructure-as-code, container platforms, monitoring, and DevSecOps controls. Automates deployments and operational processes, supports Kubernetes and hybrid environments, troubleshoots production incidents, improves reliability and security, and collaborates with engineering, architecture, cybersecurity, and operations teams. The role also mentors junior engineers and establishes reusable platform automation, deployment standards, runbooks, and continuous improvement practices.

Develops and operates connected tyre systems across hardware development, industrialization, production, provisioning, and support. Defines functional requirements and deployment constraints, validates end-to-end solutions, plans operational priorities, manages suppliers, co-designs IoT systems, coordinates technical execution, optimizes solutions, and oversees intellectual property and product certification activities. The role requires onsite presence in Clermont at least three days per week.

Implements and supports NetSuite ERP solutions by gathering requirements, writing user stories, designing functional documentation, testing deliverables, supporting application issues, and contributing to automation and continuous improvement. The role also involves estimating work, tracking project progress, participating in Agile ceremonies, managing multiple projects, and collaborating with clients and cross-functional teams across financial, purchasing, sales, manufacturing, and multi-subsidiary environments.

Leads enterprise AI transformation by defining AI target architecture, Agentic AI solutions, AI-enabled SDLC practices, governance, and adoption roadmaps. Designs reusable patterns for LLMs, RAG, agents, integrations, security, evaluation, and observability. Identifies and productionizes AI use cases across financial-services platforms, legacy modernization, testing, incident management, and operations. Partners with executives and engineering teams, mentors practitioners, evaluates emerging technologies, and measures productivity gains and cost savings.

Senior QA Engineer responsible for automated and manual testing of complex business applications. Duties include developing Playwright test scripts, defining QA strategies, investigating defects through logs and monitoring tools, performing API testing, managing regression suites, supporting releases, handling tickets, and collaborating with development and product teams. The role also mentors junior QA engineers and improves testing processes within Agile environments.

Provides technical and functional support for automotive retail software customers. Responsibilities include analyzing and prioritizing incidents, troubleshooting applications, reviewing logs and system messages, coordinating resolutions with internal teams, communicating with customers, documenting solutions, and contributing to problem management and continuous improvement.

Designs and maintains scalable AWS, Snowflake, and dbt data pipelines and transformation frameworks. Builds ETL/ELT workflows, dimensional models, data quality frameworks, and optimized SQL workloads for structured and semi-structured data. Responsibilities include pipeline orchestration, monitoring, troubleshooting, CI/CD, legacy ETL modernization, documentation, production support, and collaboration with technical teams. The role also contributes to architecture discussions, Agile delivery, code reviews, and mentoring junior engineers.

Provides hands-on L2/L3 support for multiple applications, resolving incidents, defects, configuration changes, deployments, and integrations. Owns application health, monitoring, root-cause analysis, on-call response, and release coordination. Contributes to modernization, cloud optimization, migrations, containerization, and automation using scripts and AI tools. Creates documentation, mentors engineers, supports knowledge transitions, and acts as a technical anchor for an application support pod.

Leads technical support for a cluster of applications, including transition knowledge acquisition, reverse engineering, L3 incident resolution, root cause analysis, modernization, consolidation, automation, and major incident management. Reviews code and deployments, establishes operational standards, mentors engineers, plans support capacity, and drives cloud, containerization, CI/CD, observability, and AI-assisted support improvements.

Develop, configure, customize, and support NICE Actimize solutions for AML, fraud detection, KYC/CDD, sanctions screening, alert management, and regulatory reporting. Responsibilities include rule and model tuning, SQL and PL/SQL development, ETL and data integration, Java extensions, production support, performance optimization, upgrades, access management, testing, deployment, and translating compliance requirements into scalable technical solutions.