We are seeking an experienced Solution Designer / Business Analyst to lead the design and analysis of scalable, cloud-native solutions across our telecommunications platforms. This role sits at the intersection of business, technology, and delivery, translating complex business requirements into robust, end-to-end solution designs across BSS/OSS, CRM, billing, and digital channels.The ideal candidate brings deep telco domain expertise, strong solution architecture capabilities, and excellent stakeholder management skills, with the ability to operate in high-volume, fast-paced digital environments.
Key ResponsibilitiesLead end-to-end solution design for complex telco initiatives across digital, BSS/OSS, CRM, and billing platforms.Define cloud-native, API-led, and event-driven architectures, ensuring scalability, resilience, and security.Design system integration patterns leveraging APIs, middleware, microservices, and data platforms.Produce high-quality solution artifacts including:Architecture and integration diagramsFunctional and non-functional specificationsData models and interface contractsMigration and transition architecturesCollaborate with business stakeholders to elicit, analyse, and document requirements aligned to strategic objectives.Translate business needs into clear functional designs and technical requirements.Assess impacts across upstream and downstream systems, particularly within telco operation workflows (order management, provisioning, charging, assurance).Provide solution leadership across BSS/OSS ecosystems, including CRM, billing, charging, order management, inventory, and assurance systems.Ensure solutions align with telecom industry standards and best practices.Support modernization initiatives such as legacy system transformation and platform migrations.Act as a key link between business, IT, vendors, and delivery teams.Present solution designs to senior stakeholders and governance forums.Support development teams through design clarifications, reviews, and solution assurance.Work closely with project managers and product owners to ensure on-time and quality delivery.
Key RequirementsExperience8–12+ years of experience in solution architecture, solution design, or senior business analysis roles.Strong preference for experience in telecommunications or high-volume digital platforms.Proven experience delivering complex, enterprise-scale solutions in regulated or mission-critical environments.Strong understanding of:Cloud-native architectures (public cloud, containerisation, microservices)APIs and integration middlewareData modelling and information architectureHands-on experience with BSS/OSS, CRM, billing, or telecom operations support systems.Ability to produce detailed architecture and design documentation using industry-standard tools.Excellent communication, presentation, and stakeholder management skills.Comfortable engaging both technical and non-technical audiences.Strong problem-solving mindset with attention to detail and quality.Ability to work independently while collaborating effectively in cross-functional teams.
Role Overview
We are seeking an experienced Agile Lead to drive delivery excellence, scaled agile execution, and continuous improvement across teams within APEX. This role blends strong backlog ownership, SAFe execution, AI‑augmented leadership, and adaptive coaching to enable high‑performing, resilient teams aligned to strategic outcomes.
Key ResponsibilitiesOwn, manage, and refine team backlogs to ensure clarity, readiness, and value-driven prioritizationPartner closely with Product Managers and Engineering Leads to translate business objectives into actionable, well-defined work itemsProactively identify, track, and escalate delivery risks, dependencies, and blockers to relevant stakeholdersEnsure predictable delivery through effective sprint planning, execution, and flow managementSupport the implementation, adoption, and ongoing operation of the Scaled Agile Framework (SAFe)Actively participate in and facilitate scaled ceremonies such as PI Planning, Inspect & Adapt, and ART syncsCoordinate delivery across multiple teams to manage dependencies, alignment, and shared outcomesReinforce SAFe principles, roles, and best practices across the Agile Release Train (ART)Leverage AI Agile Agents and analytics tools to monitor team health, velocity, flow efficiency, and delivery trendsSurface early signals of delivery risk, capacity constraints, or systemic bottlenecksEnable data‑informed decision-making to support scalable agility and operational excellence across APEXChampion innovative use of AI to enhance transparency, predictability, and team effectivenessFacilitate strong, open communication within and across delivery teamsEnsure alignment between product, engineering, design, and business stakeholders on priorities and outcomesAct as a trusted advisor and connector, resolving misunderstandings and fostering collaboration at scaleSupport stakeholder engagement with clear status, insights, and evidence-based progress reportingFacilitate effective retrospectives and follow-through on improvement actionsCoach teams and leaders to improve agile maturity, self-organization, and ownershipFoster a culture of learning, experimentation, and continuous improvementAdapt leadership approach to team context while remaining aligned with APEX’s strategic goals and values
Required Qualifications & Experience8+ years of experience in Agile delivery roles (Agile Lead, Scrum Master, Release Train Engineer, or similar)Strong hands-on experience working within SAFe or other scaled agile frameworksProven ability to manage backlogs, delivery flow, and cross-team dependenciesExperience using agile metrics, dashboards, and AI- or data-enabled insights to drive outcomesExcellent facilitation, coaching, and stakeholder management skillsStrong command of Agile principles, Lean thinking, and continuous improvement practices
Preferred QualificationsSAFe certification (e.g., SA, SASM, RTE) or equivalent Agile certificationsExperience in complex, multi-team or enterprise-scale environmentsExposure to AI-enabled delivery tools or advanced agile analytics platforms
Role OverviewWe are seeking a highly capable Support Analyst – Production Support (Data & Reporting) to join a globally distributed support team providing follow‑the‑sun coverage across AMR, EMEIA, and APAC regions.
This role is critical to ensuring the reliability, accuracy, and effective use of enterprise-wide reporting platforms, supporting both B2C (Consumer Markets) and B2B (Business & Education) reporting ecosystems. The Support Analyst will act as a frontline and escalation resource, resolving complex data issues, guiding users on data interpretation, and collaborating with engineering and product partners to maintain operational excellence across reporting platforms.
Key ResponsibilitiesDevelop and maintain deep working knowledge of two core reporting platforms:Horizon (Total / B2C Consumer Markets)Business & Education 360 (B&E 360) (B2B reporting)Understand and apply platform-specific data definitions, business logic, pipeline behavior, and reporting structuresIdentify and explain differences in metrics, logic, and reporting outcomes between Consumer and Institutional SalesAct as Tier 1 Support for complex requests not resolved through automation, including:Missing or incorrect data investigationsCross-report or cross-platform discrepanciesMetric definition and logic interpretationClarification of expected vs. unexpected platform behaviorProvide Tier 2 Oversight for automated support workflows (e.g., Slack forms, Accord bot, HCL):Intervene when automation fails, requests are incomplete, or atypical patterns require manual investigationMonitor and triage incoming Slack support requests across five defined categories:Access RequestsReport Data InaccuracyReport Other ProblemsEnhancement RequestsGeneral QuestionsEnsure accurate request categorization, timely responses, and clear communication with usersProvide transparent updates on request status, investigation progress, and estimated resolution timelinesInvestigate and resolve complex reporting and data questions, including:Reconciling metric discrepancies between Horizon and B&E 360Validating report accuracy and completenessDiagnosing unexpected reporting behaviorIdentifying upstream data pipeline, transformation, or logic issuesDetermine root cause, distinguishing between:User misunderstandingExpected platform behaviorData latency or refresh timingTrue defects requiring escalationProvide clear, accurate explanations of:Metric definitions and calculation logicData availability and refresh cyclesReporting limitations and known nuancesPlatform-specific behaviorsEnable users to correctly interpret and trust data across both B2C and B2B reporting environmentsCollaborate closely with the Platform Operations Lead, Data Engineering (GBI), and Reporting Product OwnersEscalate platform defects, broken data pipelines, and systemic reporting issues with clear documentation and evidenceSupport executive-level and high-priority inquiries requiring deeper analysis and contextual explanationContribute to knowledge base documentation and continuous improvement of support processes
Minimum Qualifications3-5 years of experience in Sales, Channel Performance, or Commercial Reporting, including relevant KPIs and metrics, preferably within a technology-driven organizationProven experience supporting business-critical Business Intelligence platforms in an operational or production support capacityHands-on experience querying data sources to investigate, validate, and explain data issues to business usersExperience with BI tools such as Tableau, ThoughtSpot, Business Objects, or equivalent reporting platformsAbility to manage multiple concurrent support requests across platforms, time zones, and regions with consistent quality and responsivenessStrong written and verbal communication skills with the ability to translate technical findings into clear business languageBachelor’s degree or equivalent practical experience
Job Description:
This job description for an AI Engineer focuses on the design, development, and deployment of intelligent applications using Amazon Web Services (AWS), Python, and advanced Large Language Model (LLM) techniques like Retrieval-Augmented Generation (RAG).
Core ResponsibilitiesLLM Integration & Orchestration: Design and build production-grade applications leveraging LLMs from providers like Amazon Bedrock (e.g., Anthropic Claude, Amazon Nova) or open-source models (Llama, Mistral).RAG Pipeline Development: Implement and optimize Retrieval-Augmented Generation (RAG) workflows, including document parsing, semantic chunking, and embedding generation.Vector Database Management: Manage and query vector stores such as Amazon OpenSearch Service, Pinecone, or FAISS to enable efficient semantic retrieval.Agentic Workflows: Develop autonomous AI agents capable of tool-calling, multi-step reasoning, and complex task orchestration using frameworks like LangChain or LangGraph.Deployment & MLOps: Containerize AI services using Docker and deploy them on AWS infrastructure (e.g., Lambda, ECS, SageMaker) with robust CI/CD pipelines.Performance Tuning: Optimize model outputs through prompt engineering, fine-tuning (LoRA/PEFT), and managing latency and cost efficiency. Technical RequirementsProgramming: Proficiency in Python is essential, specifically for developing scalable backend services and AI logic.AWS Ecosystem: Hands-on experience with AWS AI services including Bedrock, SageMaker AI, Lambda, S3, and API Gateway.AI Frameworks: Deep experience with LangChain, LlamaIndex, and deep learning libraries like PyTorch or TensorFlow.API Development: Skill in building and integrating RESTful APIs (e.g., FastAPI, Flask) to connect AI capabilities to enterprise systems.Security & Governance: Understanding of Responsible AI practices, including guardrails against hallucinations and ensuring data privacy (GDPR/SOC2). Preferred QualificationsCloud Certification: AWS Certified Generative AI Developer - Professional or AWS Certified Machine Learning - Specialty.
Key ResponsibilitiesDesign, build, and maintain scalable data pipelines using AWS Glue.Implement ETL/ELT processes for ingesting data from multiple internal and external sources.Optimize data workflows for performance, reliability, and scalability.Monitor, troubleshoot, and resolve data pipeline failures and performance issues.Manage and optimize AWS Redshift data warehouse operations.Configure and maintain data storage solutions, including AWS S3 and data lake environments.Implement data partitioning, indexing, and compression strategies to improve performance.Support Infrastructure as Code (IaC) practices for deploying and managing data infrastructure.Develop and maintain CI/CD pipelines for data workflows using GitLab.Implement automated testing for data pipelines and data quality validation.Support version control, release management, and deployment of data‑related assets.Configure and manage AWS Lambda functions for automated data processing tasks.Set up and maintain monitoring and alerting systems for data pipeline health and performance.Provide technical support for data‑related incidents and troubleshooting.Collaborate with technical teams to refine and enhance data architecture requirements.Optimize query performance and database operations within data warehouse environments.Document data pipeline architecture, workflows, and technical specifications.Maintain runbooks and standard operating procedures.Conduct monthly progress meetings (1 hour) to report on system health and status.Track engineering tasks through SHIP‑HATS Jira.Maintain technical documentation on SHIP‑HATS Confluence.
RequirementsMinimum of 4 years of relevant working experience preferred.Strong background in data engineering and data pipeline developmentProficiency in SQL, Python, and shell scriptingExtensive experience with AWS data services (Redshift, S3, Glue, Lambda, CloudWatch)Data warehouse design and optimization experienceStrong CI/CD pipeline knowledge (GitLab preferred)Infrastructure as Code (IaC) experience (Terraform, CloudFormation)Knowledge of data modeling and database design principlesStrong troubleshooting and performance optimization skills
Job Description:
ServiceNow ITSM + ITOM Technical Consultant
This will suit an experienced ServiceNow professional with a successful recent track record of implementing ServiceNow solutions specifically ITSM and ITOM. The ideal candidate will want to prove themselves quickly to get a reputation for success in this large and passionate organization.
Candidates will be experienced in leading ServiceNow engagements end to end,In addition, the successful candidate(s) will be responsible for, but not limited to, the following duties:• Providing hands-on ServiceNow related development expertise, supporting a range ServiceNow based consulting initiatives.• Work closely with a team of architects, SMEs, process consultants in end-to-end implementations• Configure and develop enhancements on the ServiceNow platform to meet business needs for modules - ITSM and ITOM.• Communicate technical problems and solutions to both technical and non-technical audiences.• Document and gain acceptance / approvals of selected final solutions.• Execute technical solutions in capacity as a technical consultant / Developer.QualificationsSkills and Experience Requirements:• Bachelor's degree with at least 4 years of ServiceNow development experience• Development experience on the ServiceNow platform including customization of applications such as ITOM, ITSM and custom apps.• Experience with implementation of custom integrations (REST/SOAP, Flow Designer, Data Stream, Scripted REST API)• At least two full lifecycle ServiceNow implementations• Programming expertise in Java, JavaScript or other functional programming languages• Demonstrated understanding of ITIL practices• Excellent written and oral communication skills.Skills and Certifications• ServiceNow certifications - Service Now System Administrator, Certified Implementation Specialist is preferred in ITSM and ITOM Product lines• ITIL v3 certification• Excellent analytical and problem-solving skills• Excellent verbal and written communication skills• Strong presentation development and Customer Presentation skills• Successful teamwork experience & demonstrated leadership abilities
Job Description:The Data Center Engineer will be responsible for overseeing the daily operations of our data center facilities, ensuring optimal performance, reliability, and security. The ideal candidate will have extensive experience managing data center infrastructure, troubleshooting hardware and network issues, and implementing best practices for environmental and power management.
Key Responsibilities:Monitor and maintain data center physical and virtual infrastructure to ensure 99.99% uptime.Manage power systems, including UPS, generators, and distribution units.Maintain environmental controls such as cooling, humidity, fire suppression, and security systems.Troubleshoot and resolve hardware, network, and environmental issues promptly.Perform routine inspections, preventive maintenance, and upgrades of data center equipment.Coordinate with vendors and internal teams for repairs, upgrades, and capacity planning.Develop and update documentation related to data center configurations, procedures, and incident reports.Ensure compliance with industry standards, security protocols, and regulatory requirements.Assist in disaster recovery planning and implementation.Support and mentor junior staff members as needed.
Requirements:Minimum 5 years of experience in data center operations, engineering, or related fields.Bachelor’s degree/Diploma in Computer Science, Information Technology, Electrical Engineering, or a related field.Strong knowledge of data center infrastructure, including power, cooling, and environmental systems.Hands-on experience with server hardware, networking equipment, and data center management tools.Certifications such as DCCA, CCNA, CompTIA Server+, or equivalent are preferred.Excellent troubleshooting, problem-solving, and communication skills.Ability to work under pressure and handle emergency situations effectively.Knowledge of industry standards and best practices for data center management.This is a 24/7 shift role.
Imagine leading a multicultural, cross-functional team of data and analytics engineers, collaborating closely with product managers, architects, and global stakeholders. You will play a pivotal role in building and scaling high-quality, cloud-native data products on a global cloud-based data platform, driving data‑driven business transformation at enterprise scale.Your mission is to ensure excellence in engineering practices, the delivery of reliable and scalable data solutions, and the development of a high‑performing, innovative team. This is a senior leadership role built on a strong technical foundation.We love that you will…
Lead, mentor, and develop a team of skilled data engineers working on the Azure PaaS stack, fostering a collaborative, inclusive, and high‑performance culture.Support career growth through coaching, performance reviews, development plans, and succession planning, ensuring a strong and sustainable talent pipeline.Collaborate with architects, product managers, and stakeholders to design and deliver scalable data solutions and analytics products aligned with business objectives and technical standards.Shape and execute the data engineering roadmap, managing dependencies and driving strategic initiatives across multiple teams and domains.Ensure timely and predictable delivery of data products, balancing technical debt, feature development, and operational excellence.Drive best practices in data engineering, including CI/CD, testing, data modelling, and engineering quality, while influencing architectural decisions across teams.Lead the modernisation journey from IaaS to Azure PaaS, leveraging technologies such as Azure Data Factory, Data Lake, Synapse, Databricks, and Analysis Services.Oversee risk management across technical, vendor, talent, and compliance areas, ensuring strong adherence to data privacy, security, and regulatory requirements.Own domain-level budget management, resource planning, and delivery against strategic KPIs/OKRs, ensuring cost‑effective and value‑driven outcomes.Champion diversity, equity, and inclusion, creating an environment where all team members can thrive.Lead organisational transformation by driving adoption of new technologies, ways of working, and engineering practices, while managing change effectively.Represent the organisation externally by building industry partnerships and contributing to thought leadership initiatives.Promote innovation by exploring new tools, frameworks, and practices to continuously improve data product development and business impact.
We love that you are…Bachelor’s or master’s degree holder in Computer Science, Data Engineering, or a related field.An experienced data engineering professional with 10+ years of relevant experience, including at least 3 years in a technical leadership or engineering management role.Highly skilled in Azure Data Services (Databricks, Data Factory, Data Lake, Synapse) with a strong understanding of data architecture, modelling, and data warehousing concepts.Experienced with containerisation, analytics platforms, and modern data governance, quality, and observability practices.A proven strategic and organisational leader, with experience managing multiple teams, platforms, or domains.An excellent communicator with strong stakeholder management skills and the ability to engage confidently at executive level.Demonstrably capable of leading through change, driving innovation, and delivering measurable business and customer value.Comfortable working in a virtual, multicultural, and agile environment.
SummaryThe Datacenter FieldOps team is responsible for supporting all production network cabling in the Datacenter. This global team offers a unique career opportunity to work with the latest network technologies and talented engineers solving complex problems in the industry.
Job Duties and ResponsibilitiesCabling & TerminationSupport and complete all scheduled data center Moves/Adds/Changes (MACs).Perform hardware installation MACs, including device labeling, power, and network cable connectivity.Complete hardware support work orders involving MACs, certification, troubleshooting, and break-fix.Manage assets, auditing, and daily work log/ticket tracking.Provide smart-hands assistance within specified SLA response times (on-call duties may apply).Maintain a safe and secure operating environment and report violations.Maintain detailed documentation and record keeping.Follow site security protocols, badging requirements, and data protection procedures.Ensure proper logging, securing, and documentation of media storage devices.Use network hardware/components, copper and fiber infrastructure installation and testing tools, and datacenter infrastructure management (DCIM) tools.Coordinate equipment/material receiving, shipping, and RMA processing.Provide vendor and security escorts as needed.Perform general cleaning of floor, cabinet/rack surfaces, work benches, and other areas regularly.Support standard and emergency operating procedures for the data center.Provide status reporting on service availability, performance, and capacity utilization.Conduct daily error log reporting and physical inspections for general health, power, cooling, and hazards.Coordinate equipment installation and delivery schedules per project plans.Perform on-call duties as needed.
Fiber Technician Specific DutiesBasic copper termination skills required.Mount and install racks, patch panels, fiber optic hardware, and grounding.Perform testing: continuity tests, use of volt-ohmmeter, troubleshoot cable issues, and use tone sets.Install various fiber connectors (LC, SC, ST, FC, FDDI, SMA, MPO/MTP) for multi-mode and single-mode fiber.Terminate simplex & duplex jumper cords, breakout outside plant fiber, and indoor tight buffered fiber.Install fan-out kits including buffer tubes.Calculate end-to-end loss budgets per TIA/EIA standards.Complete paperwork accurately and timely (timesheets, material transfers, work orders, change orders, tool transfers).Perform testing using OTDR, Fluke, and EFXO.Troubleshoot network issues using OTDR.Perform mechanical and fusion splicing with all fiber cable types.Perform building entrance splices, maintenance space, and direct buried splices.
Additional RequirementsAvailable to work shifts (8, 10, 12 hours), weekends, and holidays.
Education, Certification, License, and Skill RequirementsHigh School diploma or GED equivalent.Proficient with listed tools.Skilled in terminating all connector types and methods for SMF and MMF systems (Unicam, anaerobic, heat-cure).Experience in testing and troubleshooting MMF & SMF systems (OTDR & PMLS).Preferred 3-5 years of fiber experience.Preferred industry certifications (Corning/FOA).Preferred data center installation experience.Preferred mechanical and fusion splice experience.Preferred OSP / confined space entry experience (splicing).Proficient with trade tools including screwdrivers, torpedo level, tape measure, snips, pliers, hammer, wrench set, cable stripper, flashlight, gloves, punch tool, tone set, crimp tool, and Krone/3M/BIX tools.
Job Summary:
The IT/OT Engineer will be responsible for supporting, maintaining, and improving automated and computerized systems within production and packaging operations. This includes managing inspection and serialization systems, ensuring system reliability, and driving continuous improvement initiatives. The role also requires active participation in safety, compliance, and cross-functional projects while ensuring alignment with site and corporate standards.
Key Responsibilities:Demonstrate and promote strong leadership in Safety, Health, and Environment (SHE) initiatives, engaging employees at all levels on SHE matters.Provide technical expertise and support to IPT (Integrated Production Team) and COE (Center of Excellence) on computerized and automation systems, including:SeaVision and LAETUS inspection systemsAntares Serialization and Vision Inspection systemsVial and Syringe Packaging LinesPerform timely completion of preventive maintenance (PM) and corrective maintenance (CM) tasks, and drive continuous improvement activities, including:System backup and disaster recoveryObsolescence managementData analytics to identify and reduce frequent breakdown trendsPassword management, periodic access review, and user account managementUpdates and reviews of SOPs, Work Instructions (WI), and PM documentationProvide automation and IT technical support for capital projects and other site initiatives.Participate in field walk-downs, as-built P&ID and HAZOP reviews, and ensure all related action items are completed.Maintain and provide technical expertise on serialization and automated packaging lines, leveraging tools like JIRA for issue tracking and documentation.Conduct cross-functional or interdepartmental training to ensure knowledge sharing and skill retention.Apply structured problem-solving methodologies (e.g., Merck Production System (MPS) 8-step problem solving) to identify root causes and implement effective corrective and preventive actions (CAPAs).Participate in cross-functional quality investigations to resolve equipment or system-related issues.Maintain up-to-date knowledge of the System Development Life Cycle (SDLC) to ensure proper implementation, validation, and documentation of computerized systems.
Job Requirements:Bachelor’s degree in Engineering, Automation, Information Technology, Computer Science, or a related field.Hands-on experience in automation systems, industrial control systems, or IT/OT integration within a manufacturing or pharmaceutical environment.Practical knowledge of inspection systems (SeaVision, LAETUS) and serialization systems (Antares) is strongly preferred.Strong understanding of system backups, disaster recovery, and obsolescence management.Familiarity with GxP, CSV (Computer System Validation), and SDLC principles.Experience analyzing system data and trends to improve equipment reliability and performance.Knowledge of networking, cybersecurity, and access control within operational technology environments.Ability to work collaboratively across functions and provide training or technical guidance to peers.Strong problem-solving, communication, and documentation skills.Experience using platforms such as JIRA or other issue-tracking tools.
