Jobs at Ness Digital Engineering

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 DevOps and platform engineering transformation initiatives across client organizations. Designs and implements CI/CD, DevSecOps, infrastructure automation, Kubernetes, cloud-native, monitoring, SRE, and AIOps solutions. Conducts maturity assessments, establishes engineering standards, improves delivery practices, advises stakeholders, and develops automation accelerators. Provides technical leadership, supports 24/7 operational coverage, drives continuous improvement, and builds high-performing teams and engineering communities.

Designs and maintains CI/CD pipelines, cloud infrastructure, infrastructure-as-code, container platforms, monitoring, and DevSecOps controls. Automates deployments and operational tasks, manages Kubernetes environments, improves reliability and security, troubleshoots incidents, and supports compliance in financial services. Collaborates with engineering, architecture, cybersecurity, infrastructure, and operations teams while mentoring junior engineers and establishing platform standards, runbooks, and continuous improvement practices.

Build and improve an AI-native software development lifecycle, including AI coding assistants, agents, CI/CD pipelines, quality gates, developer tooling, templates, and automation. Work hands-on with Java and Node.js codebases, integrate AI into reviews and pipeline analysis, coach development squads, and contribute to shared DevOps practices. The role requires strong development, DevOps, communication, and English skills, with optional cloud, containerization, infrastructure-as-code, observability, and AI agent experience.

Design, develop, and maintain scalable full-stack applications using Python and React. Build RESTful APIs, backend services, and third-party integrations; deploy and manage applications on AWS; use AI-assisted coding tools such as Claude Code and Cursor; and ensure performance, security, scalability, and maintainability. Collaborate on architecture, code reviews, CI/CD, testing, troubleshooting, and production optimization.

Lead security operations by deploying and administering security tools, monitoring alerts and logs, investigating incidents, managing vulnerabilities, coordinating incident response, and overseeing identity and access controls. The role also includes security awareness training, documentation, cloud security evaluation, threat research, and collaboration with IT, engineering, and compliance teams.

Deploy and upgrade client solutions across Kubernetes and AWS environments. Troubleshoot infrastructure, platform, application, and configuration issues; manage container images; configure AVA installations and SSO integrations; validate deployments; support production, UAT, and development environments; and collaborate with engineering and client teams on successful delivery.

Develop and support Salesforce Marketing Cloud solutions, including multi-channel campaigns, customer journeys, personalized content, data models, automations, integrations, deliverability, and reporting. The role requires SQL, AMPscript, SSJS, HTML, CSS, Salesforce APIs, GDPR-aware data management, troubleshooting, documentation, and client training.

Design, build, and maintain Java backend services and third-party integrations for high-volume, event-driven systems. Own complex technical work from design through production, contribute to architecture and standards, support automated testing and QA, and improve system performance and developer experience. Collaborate within a distributed Agile team while supporting DevOps and cross-functional initiatives.

Leads enterprise data security and privacy assessments, identifies control gaps and exposure risks, and defines secure target-state architectures. Evaluates encryption, access governance, masking, tokenization, data minimization, and cloud or hybrid security controls. Develops remediation priorities, facilitates stakeholder workshops, supports risk assessments, and provides executive reporting while collaborating with architects, analysts, business stakeholders, and technology teams.

Build, deploy, test, debug, and optimize scalable production data pipelines using Python, Spark/PySpark, AWS, Databricks, Snowflake, and modern data platforms. Apply strong software engineering practices while supporting cloud-native data solutions. The role requires approximately five years of hands-on data engineering experience and may benefit from financial services, orchestration, and cloud-native expertise.

Designs, develops, implements, tests, and supports SAP Analytics Cloud planning and reporting solutions. Responsibilities include FP&A planning, data modeling, Stories, Analytic Applications, Data Actions, Multi Actions, SAP integrations, data management, currency conversion, security administration, troubleshooting, testing, deployment, documentation, and stakeholder collaboration.

Lead Ness’s global cybersecurity and information security strategy, governance, risk, compliance, data protection, incident response, resilience, and security architecture. Build scalable security operating models and teams, oversee audits and regulatory requirements, establish AI security and governance frameworks for LLMs and GenAI, and advise executive leaders and strategic customers. Partner with technology, delivery, sales, legal, and business stakeholders to strengthen security posture, support customer engagements, and enable responsible business growth.

Lead 3–5 Salesforce developers while designing, developing, testing, and deploying scalable Salesforce solutions. Define architecture, data models, integrations, and technical approaches; troubleshoot production issues; enforce coding and architectural standards; and drive CI/CD, version control, packaging, and release processes. Partner with stakeholders and mentor developers across complex client environments.

Develop backend-focused full-stack applications using Java, Node.js, Spring, REST APIs, messaging, and data processing. Contribute to frontend development with JavaScript or TypeScript and Vue.js or React, while supporting DevOps activities. Work with cloud platforms, containers, CI tools, databases, and scalable real-time telematics applications. Collaborate with a Kosice-based team to shape technical solutions and delivery for a long-term European client.

Build and support AI-enabled full-stack applications for finance technology. Develop UI, APIs, data access layers, and AI workflows such as chat, retrieval, document Q&A, and copilots. Maintain environments, logs, tests, documentation, and secure SDLC practices. Manage defects, enhancements, user support, demos, release materials, and delivery tracking while collaborating with the AI Lead, testers, and business users.

Provides white-glove IT support for executives and end users, resolving application, device, access, and infrastructure issues. Responsibilities include ticket management, escalation, incident response, root cause analysis, hardware and software deployments, troubleshooting, documentation, knowledge-base maintenance, trend analysis, and leading migrations, rollouts, and other end-user technology projects. The role is onsite five days weekly with shifting hours and requires support across service desk, remote, phone, Teams, email, and walk-up channels.

Develop Python full-stack application modules across UI, application, integration, and database layers. Build Streamlit interfaces, PostgreSQL functionality, SQL queries, REST/API integrations, and multi-tenant components. Participate in testing, debugging, code reviews, and deployment while following established architecture and coding standards.

Supports quality assurance for Salesforce Service Cloud applications by executing functional, regression, and integration tests; maintaining automation scripts; validating Salesforce components and integrations; preparing test data; documenting defects in Jira or Copado DevOps; and collaborating with development, business analysis, and product teams in an Agile environment.

Develop datasets and interactive dashboards, analyze existing reports and data relationships, and support data warehousing across retail-focused product teams. Collaborate with project teams, business stakeholders, technical SMEs, and data insights teams. Apply SQL, Hadoop ecosystem tools, DataStage, database commands, and data extraction, cleansing, transformation, validation, and loading practices. Advocate development best practices and support data integration across applications and domains.