Lead Application Management Services engagements, ensuring service excellence, operational stability, and continuous improvement across enterprise application landscapes.
Locations (3)
Bengaluru, Karnataka, India
Hyderabad, Telangana, India
Gurgaon, India
Responsibilities
Own overall service delivery for AMS engagements and ensure contractual SLA/KPI compliance.
Manage day-to-day operations across L1, L2, and L3 support teams.
Lead incident, problem, change, and escalation management processes to minimize business impact.
Serve as the primary point of contact for client stakeholders regarding service performance and operational issues.
Conduct service review meetings and provide executive-level reporting on service metrics, risks, and improvement initiatives.
Requirements
Bachelor's degree in Engineering, Information Technology, Computer Science, or a related field.
Nice to have: ITIL Foundation certification
Nice to have: ITIL Managing Professional certification
Serve as a subject matter expert for enterprise technologies, leading the architecture, design, and implementation of scalable enterprise observability solutions using Dynatrace and IBM SevOne.
Compensation
The expected base salary for this position ranges from $67.17 - 111.94/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.
Responsibilities
Serve as a subject matter expert for enterprise technologies, providing advanced technical leadership.
Lead the architecture, design, integration, and implementation of scalable enterprise observability solutions using Dynatrace and IBM SevOne.
Implement AIOps capabilities, including Dynatrace Davis AI, causal analysis, anomaly detection, intelligent automation, and AI-driven root cause analysis.
Manage observability data, including logs, metrics, events, and alerts, ensuring effective telemetry governance, alert optimization, and cost control.
Partner with business stakeholders, technology teams, and vendors to gather requirements and deliver complex technical solutions.
Requirements
Bachelor's degree in Computer Science
Computer Engineering
related field
Nice to have: observability certifications
Nice to have: infrastructure technology certifications
Lead and shape technology and transformation initiatives for Atos’ clients in the KSA market, designing end‑to‑end architectural solutions and roadmaps.
Responsibilities
Assess and collaborate with customer CXOs and Technology Leaders to build business outcome‑driven technological vision
Define, design, and govern Enterprise Architecture using TOGAF and Zachman frameworks
Conduct feasibility analysis and guide MVP‑based roadmaps
Create business cases for multi‑year programs
Ensure regulatory compliance with PDPL, CCRF, NCA, GDPR, ISO 27001
Lead the AI Information and Intelligence team to build and manage reusable AI capabilities for underwriting and claims systems, including data extraction, research, and policy intelligence.
Responsibilities
Lead, coach, and develop a team of data science managers, data scientists, and AI/ML engineers
Own the roadmap for reusable ‘find / extract / connect’ capabilities and prioritize investment for maximum reuse and value
Direct the design, development, deployment, and ongoing improvement of production-grade AI/ML solutions
Partner with leaders of AI Products and Decisioning and AI Product Strategy and Scale to sequence shared capabilities
Partner with segment data science teams and Technology leadership to translate lighthouse solutions into enterprise-scale platforms
Serve as the lead technical voice on mainframe architecture, application structure, data flows, and modernization feasibility for assigned engagements.
Engineer, administer, and troubleshoot IBM z/OS environments supporting DISA/DoD mission workloads, including advanced support for JES2, TSO/ISPF, SDSF, SMF/RMF, and SMP/E.
Support and tune DB2 for z/OS environments and CICS regions including configuration, performance tuning, and outage resolution.
Analyze dumps, logs, and system traces; drive root-cause analysis and implement permanent fixes.
Provide technical support to application teams for mainframe workloads, including code-level troubleshooting and job support in COBOL, REXX, JCL, and legacy languages such as FORTRAN as applicable.
Requirements
Nice to have: Direct experience supporting DISA, DoD, or other Federal defense agency mainframe programs
GOC Product Owner responsible for coordinating operational needs, initiatives, process improvements, integrations, and tooling requirements within the Global Operations Center.
Responsibilities
Manage GOC operational requirements from intake through delivery, maintaining a prioritized backlog with clear requirements, user stories, acceptance criteria, and expected outcomes.
Coordinate initiatives across Infrastructure, Cloud Operations, DBA, Product, Support, Engineering, Monitoring, Incident Management, and ServiceNow teams, ensuring clear ownership and management of cross-team dependencies.
Drive delivery by tracking commitments, following up on actions, escalating blockers and risks, coordinating acceptance, and verifying that completed solutions meet the agreed operational need.
Lead continuous improvement across ServiceNow, monitoring and alerting, AIOps, incident and problem management, RCA/PIR, reporting, operational processes, runbooks, and support handoffs.
Track and communicate delivery progress, priorities, milestones, risks, dependencies, overdue actions, achievements, and decisions required to GOC and IT stakeholders.
Requirements
Nice to have: 24/7 Global Operations Center
Nice to have: NOC
Nice to have: command center
Nice to have: operational metrics
Nice to have: MTTR
Skills
Senior Engineer Data Enablement & Management (Redshift/Databricks)
University of Maryland Global Campus · Posted Nov 6, 2026
Senior technical leader responsible for designing, implementing, and operating the university’s enterprise Lakehouse and Data & AI platform, leading data engineering, governance, and analytics enablement initiatives.
Compensation
$133,000.00 - $148,000.00
Responsibilities
Lead design, implementation, and optimization of enterprise data engineering capabilities
Modernize data pipelines, Lakehouse architecture, and data products
Guide migration and modernization efforts including Redshift-to-Databricks transitions
Lead AI/BI dashboard and semantic model development
Implement data quality, governance, and security frameworks
Requirements
Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or related technical discipline
Nice to have: Master's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or related technical discipline
Nice to have: 8+ years of progressive experience in enterprise data engineering
Nice to have: Experience as Senior Data Engineer or similar senior technical role
Nice to have: Experience in enterprise data modernization, Lakehouse transformation, AI enablement
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