Jobs at Sutherland

Leads and develops a customer support team serving a streaming campaign. Responsibilities include achieving KPIs, coaching employees, managing attendance and workforce productivity, improving customer experience, analyzing operational data, preparing performance reports, handling escalations, and implementing process improvements. Partners with HR, operations leadership, clients, and cross-functional stakeholders to support employee engagement, compliance, change management, and successful program execution.

Evaluates assigned transactions, participates in internal and external calibration sessions, and monitors service quality and performance. The role maintains client and team relationships, resolves issues, prepares accurate reports, and analyzes data to identify trends and recommend improvements. Success requires strong analytical, communication, teamwork, relationship-building, and Microsoft Office skills, along with at least six months of process transformation experience in a fast-paced environment.

Leads the offshore Infrastructure and Cloud Management practice and Center of Excellence. Owns technical strategy for major pursuits, solution architecture, RFPs, capability roadmaps, service offerings, accelerators, partnerships, and delivery governance. Drives AIOps, automation, cloud modernization, reusable intellectual property, operational maturity, customer escalation management, and productivity improvements while building scalable capabilities and supporting organizational growth.

Develop and maintain robust, scalable Windows desktop applications using C#, .NET, and WPF. Build high-performance user interfaces with the MVVM architectural pattern, contribute throughout the software development lifecycle, provide technical leadership, mentor junior developers, and promote software development best practices.

Designs, deploys, and operates secure, scalable AWS infrastructure using Terraform and Kubernetes. Manages cloud networking, VPNs, firewalls, IAM, RDS connectivity, monitoring, and CI/CD integrations. Troubleshoots production infrastructure and networking incidents, automates operational tasks with scripting, and supports reliable, secure production environments. Requires strong AWS networking, Kubernetes administration, infrastructure-as-code, Linux, security, and communication skills. This is a hybrid role in Bogota, Colombia.

Designs, implements, hardens, and integrates CyberArk PAM solutions across applications, servers, databases, service accounts, and enterprise platforms. Responsibilities include privileged account onboarding, credential rotation, session management, architecture assessments, technical workshops, documentation, troubleshooting, and stakeholder collaboration. The role ensures alignment with enterprise security, compliance, and operational standards.

Manages end-to-end implementation project workflows from kickoff through closeout, including scheduling, milestone readiness, documentation, status control, client communication, escalations, and clean project closeout. The role also supports logistics tracking, operational workflows, outbound client communications, and service quality in a high-volume production environment.

Administer and troubleshoot Cisco routers and switches, including installation, configuration, IOS upgrades, routing, switching, and password recovery. Monitor network performance and system availability, provide Level 2 support within SLA targets, coordinate with vendors and IT personnel, and work rotating day and night shifts. Required expertise includes BGP, VLAN, VTP, STP, inter-VLAN routing, HSRP, and device stacking.

Lead the end-to-end lifecycle of cloud ecosystems by architecting, deploying, and maintaining scalable, secure, highly available infrastructure. Drive automation, optimization, and cloud best practices across AWS and GCP environments. Provide technical leadership and mentorship, collaborate with cross-functional teams, manage global teams and project lifecycles, and evaluate emerging cloud technologies to improve strategy.

Own cloud, Kubernetes, CI/CD, endpoint, and network security across GCP and AWS. Responsibilities include IAM, CSPM, cluster hardening, runtime protection, GitLab pipeline security, secrets management, attack-surface reduction, compliance for SOC 2, HIPAA, and ISO 27001, incident response, threat modeling, and security automation.

Underwrite residential mortgage applications across Conventional, Non-QM, and DSCR programs. Analyze credit, income, assets, employment, collateral, and risk; perform complex income and DSCR calculations; verify regulatory and investor compliance; issue loan decisions; review conditions and documentation; communicate requirements to stakeholders; support audits and quality control; and manage a high-volume pipeline while meeting deadlines.

Manage a customer service team of 18–20 associates in a technology or telecommunications environment. Drive performance, productivity, attendance, utilization, service quality, and customer satisfaction metrics. Handle queue administration, reporting, corrective actions, employee development, training, motivation, recognition, and client communications. Resolve issues, implement improvement strategies, monitor team performance, and provide timely updates to leadership.

Leads enterprise BI projects using Power BI and Microsoft Fabric, including BI strategy, dashboard and data-model development, delivery oversight, team management, and stakeholder engagement. Ensures reporting quality, data governance, security, warehousing, and ETL standards while supporting business decision-making. The role requires advanced expertise in DAX, Power Query, SQL, and data modeling, with exposure to Azure Data Factory, Looker, Python, and R.

Own end-to-end enterprise architecture across AWS and Azure environments, establishing scalable, secure, reusable integration patterns for GenAI, chatbot, translation, and document-processing services. Define target-state architecture, review designs, resolve integration constraints, lead architecture governance, and establish non-functional requirements covering security, data residency, exactly-once processing, and disaster recovery.

Lead complex technical programs spanning software development, cloud platforms, AI/GenAI, automation, and platform engineering. Own planning through production deployment, coordinate cross-functional engineering teams, facilitate architecture and technical decisions, manage scope, schedules, budgets, risks, quality, and dependencies, and oversee Agile delivery. Partner with executives, customers, vendors, architects, and engineering leaders while driving governance, release readiness, security, compliance, and continuous delivery improvements.

Serve as the first point of contact for customers, providing professional, timely, caring, and efficient assistance. The role requires graduation, completed military service, and fluency in English. The company promotes professional development, long-term career growth, and a supportive work environment.

Own technical testing of AI agent outputs by building validation suites against golden-record datasets, tracking accuracy and turnaround-time metrics, and performing regression testing after agent or prompt changes. The role supports regulated-process quality assurance by providing technical evidence and findings for human QA sign-off. Candidates should have substantial QA or test engineering experience, including validation of ML or LLM outputs and benchmark dataset development for document or text-processing systems.

Provides customer service and support to customers. The posting does not provide further details about specific responsibilities, qualifications, or working conditions.

Build and deploy regulated-process AI agents on AWS Bedrock, including document generation, validation, and case intake workflows. Develop Fargate services, integrate Microsoft Graph API and event-driven patterns, configure prompts and guardrails, and test agent performance. Own OCR and intelligent document-processing pipelines using AWS Textract or equivalent and Azure Document Intelligence. Improve extraction accuracy, support auditability, integrate third-party tooling, and collaborate with QA and compliance teams.

Develop, test, and deploy generative AI agents and document-processing pipelines using AWS Bedrock and Fargate. Build OCR and intelligent document processing workflows, integrate Microsoft Graph API and enterprise platforms, engineer prompts and guardrails, and improve extraction accuracy and agent performance. Collaborate with architects, QA, and business stakeholders to deliver secure, compliant, production-ready AI automation for regulated and semi-regulated processes.