Engineering Manager

• As a Senior Engineering Manager, you will serve as a hands-on technology leader and role model within the team.
• You will be contributing to the architecture, design and development of software across the studio product to meet both business and technology objectives.
• You'll be leading a team that's essential to our engineering organization's success.
• Take deep ownership of all aspects of product software engineering, including feature development, production incident management, addressing technical debt, and contributing to technology roadmaps and solution architecture.
• Provide strong technical leadership and mentorship to local engineering teams and serve as the go-to expert for engineering leaders on complex technical challenges.
• Lead development investigations and conduct deep root cause analyses for production incidents.
• Deliver timely resolutions with a focus on speed, quality, and long-term stability.
• Communication will be a big part of your role too. You'll be regularly updating senior leadership on your team's progress and the overall health of our systems.

Senior Engineering Manager

• Own the technical strategy and architecture for the POS Application Platform, acting as the domain CTO for everything that runs on our POS devices.
• Build and govern the four core platform pillars across the organisation: developer experience (tools, libraries, SDKs), platform reliability (observability, uptime, quality standards), foundational frameworks (architecture, coding standards, testing and release pipelines), and squad adoption (driving uptake of platform tooling across all embedded POS engineers).
• Define and enforce engineering standards across all POS device types and OEM manufacturers, ensuring architectural consistency and quality across a heterogeneous device fleet.
• Functionally lead POS engineers embedded across Payments, Onboarding, VAS, Savings, and Loans squads — setting the bar for engineering quality and providing the platform layer above all of them.
• Own POS observability end-to-end: monitoring, alerting, and incident response frameworks that ensure platform health across all devices and squads.
• Drive the architecture for how Moniepoint supports multiple POS device types, including defining how new devices are onboarded, governed, and integrated with the platform.
• Collaborate with OEM partners and the POS hardware team when new device types are introduced, ensuring the application layer is ready to support them from day one.
• Write and review code directly — this role expects 40 to 60 percent hands-on engineering time. You will set the technical standard, not just the technical direction.
• Build and scale the POS platform team, including hiring, mentoring, and structuring for growth as the platform expands internationally.
• Translate platform decisions into business impact, working closely with Product, Payments, and Business leadership across markets.
• Establish and continuously improve engineering processes, tooling standards, CI/CD pipelines, and developer productivity metrics across the POS engineering community.

Head of Engineering, POS Application Platform

• Build the AI-ready context foundation: Lead the engineering charter to design and evolve an AI-ready context store across structured, unstructured, vector, and graph systems. This platform powers apps, agents, and enterprise workflows on top of trusted data.
• Own core platform primitives: Drive end-to-end delivery of complex platform capabilities, including:
• - High-scale ingestion and validation frameworks
• - Contract-driven routing, storage, and serving layers
• - Multi-tenant isolation and noisy-neighbor resilience
• - Search APIs with sub-second P95 response times
• - Systems operating at 99.99% availability
• Lead from the front: Engage deeply in architecture and systems design. Guide distributed systems tradeoffs, review RFCs, unblock critical issues, and participate meaningfully in technical decisions. This role requires technical depth, not just coordination.
• Scale teams and operational excellence: Build and mentor high-performing engineers and managers. Define engineering metrics, on-call practices, SLO discipline, and incident processes. Strengthen the operational engine behind a platform serving 100K+ users and billions of assets.

Senior Engineering Manager – Data Platform

• Drive Stability & Performance
• Lead the Culture Shift
• Build the Runway
• Empower the Team

• Manage, mentor, and grow a team of 5–6 engineers across different levels.
• Set clear performance expectations, run structured 1:1s, and own career development for your reports.
• Build and maintain a high-trust, psychologically safe team culture.
• Provide technical mentorship and coaching to help engineers grow in Java, cloud, and distributed systems.
• Own the planning, prioritization, and on-time delivery of engineering commitments for your team.
• Drive agile processes (sprint planning, retrospectives, estimation) without letting process become overhead.
• Remove blockers, manage cross-team dependencies, and escalate risks early.
• Hold the team accountable to quality, velocity, and reliability targets.
• Translate business requirements into appropriate technical solutions, keeping simplicity at the core.
• Conduct meaningful code reviews for Java-based backend services, ensuring quality, maintainability, and adherence to engineering standards.
• Design and architect highly scalable, cloud-native enterprise software applications.
• Work hands-on with Java, J2EE, Spring, REST APIs, and cloud platforms (AWS/Azure/GCP) to contribute to architecture and critical design decisions.
• Guide the team in debugging complex distributed system issues across Kafka, MongoDB, and microservices.
• Research, evaluate, and recommend technologies required for solution delivery.
• Work closely with engineers to design solutions to security problems and monitor vulnerabilities in third-party components.
• Maximise performance, uptime, and supportability of the product.
• Provide technical oversight across backend architecture, API design, and distributed systems.
• Guide architectural decisions, code quality standards, and engineering best practices.
• Partner with Principal and Lead engineers to define the long-term technical vision.
• Ensure observability, security, performance, and reliability are treated as first-class concerns.
• Champion DevOps and cloud infrastructure best practices across the team.
• Work closely with Product Management to define requirements and shape the roadmap.
• Translate business goals into clear engineering scope and realistic timelines.
• Collaborate and communicate with stakeholders, providing project progress updates and highlighting risks with mitigation plans.
• Interface with customer-facing functions to gather requirements and perform technical due diligence.

• The IT Senior Engineering Manager leads products to build experiences for Owners working with interactions and integrations across the enterprise.
• This is a global responsibility, providing the IT point of view on the proposed business requirements to integrate into the existing product portfolios.
• You will need to understand architecture, technology, and implementation strategies to optimize the experience and the efficiencies across the enterprise.
• In addition, you will be hands on in this leadership role, working with the team and Product Owner and stakeholders – this is not just a role of pure delegation.
• You will analyze impact of change on KPI’s and interactions with the customer to further provide Business Value.

Software Engineering Manager

• Act as people manager for approximately 15–20 engineers across 2–3 Scrum teams.
• Be accountable for delivery outcomes across 2–3 Scrum teams within a release train.
• Own and continuously improve engineering practices and standards across four core practices.
• Promote responsible, human-in-the-loop use of AI tools for coding, testing, analysis, and documentation.
• Shape team composition across 2–3 Scrum teams to optimise skills, experience, and resilience to attrition.

• Partner with business leaders to identify high-impact AI opportunities and translate them into scalable AI/ML solutions.
• Define and communicate AI product vision, roadmaps, and measurable success metrics.
• Drive AI strategy across predictive analytics, Generative AI, and intelligent automation initiatives.
• Establish governance frameworks for Responsible AI, model explainability, fairness, and compliance.
• Lead cross-functional AI programs and influence executive stakeholders through compelling insights and presentations.
• Own end-to-end AI product delivery in partnership with Product, Engineering, and Data teams.
• Ensure production-grade deployment of AI models using containerization (Docker), orchestration, and scalable cloud infrastructure.
• Establish monitoring frameworks for model drift, performance degradation, and system reliability.

AI Engineering Manager

• Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing.
• Design systems for analytics, experimentation, event tracking, and usage metering.
• Ensure high standards of scalability, reliability, performance, and data quality.
• Drive best practices in data engineering, system design, and observability.
• Build, mentor, and lead a high-performing team of data and platform engineers.
• Foster a culture of ownership, innovation, and continuous improvement.
• Provide technical guidance, career development, and performance management.
• Partner closely with Product, AI, Growth, and Marketing teams to understand data needs and translate them into scalable solutions.
• Enable data-driven decision-making across the organization.
• Improve the developer experience and usability of the data platform for internal teams.
• Define and track platform KPIs such as adoption, reliability, and performance.
• Optimize infrastructure for cost efficiency and performance at scale.
• Continuously evaluate tools, technologies, and processes to improve ROI.
• Supporting AI research with data, both for training and capabilities.

Engineering Manager, Data Platform

• Coach and mentor engineers—supporting growth in technical skills, ownership, and career progression
• Partner with stakeholders and engineering leadership to evaluate, plan, and deliver API-first projects across advertising systems, services, and features
• Drive transparency and alignment through documentation, structured processes, and clear cross-functional communication
• Strengthen agile practices and continuously improve the team’s delivery predictability and maturity
• Lead by example: write production-ready backend (and supporting frontend where needed) code, and ship via CI/CD on AWS
• Support engineers through regular 1:1s, feedback, quarterly reviews, recognition, time-off planning, training, and performance management when needed

Engineering Manager – Geo, API Development

• Demonstrates deep business, industry, and product knowledge to ensure customer success
• Specializes in one or more lines of business, ensuring customer value realization
• Manages a team of Engineers and Architects
• Collaborates with multi-functional teams, architects, product owners
• Advocates for technical excellence and helps teams make good decisions
• Participates in architecture discussions and planning
• Conducts interviews and hiring of qualified individuals
• Builds and ships high-quality, production-grade software using modern engineering practices

Senior Manager, Software Engineering

• Lead three teams (~15 people) across internal system teams, shared services, and release functions
• Ensure operational readiness across environments, including monitoring, support, and reliability
• Establish and evolve operating models, runbooks, and support frameworks leveraging AI tools
• Drive clear ownership and accountability across operational domains with key leaders
• Own release management and execution across platforms and supported products
• Ensure predictable, high-quality releases through defined processes and governance
• Coordinate release planning, scheduling, and cross-team dependencies
• Drive automation of release processes to improve speed, reliability, and repeatability
• Ensure effective release support, validation, and rollback mechanisms
• Own operational delivery outcomes across internal and external teams
• Support Program Increment (PI) planning, prioritisation, and execution
• Define and track operational metrics (availability, Mean Time to Recovery (MTTR), deployment success, cost)
• Ensure effective environment provisioning, release support, and platform availability
• Drive resolution of operational issues, risks, and bottlenecks
• Define and execute cost-reduction objectives and targets across infrastructure and operations
• Establish cost baselines and track ongoing cost performance against targets
• Drive efficiency through automation, standardisation, and reuse of platform capabilities
• Reduce reliance on manual processes and bespoke solutions
• Promote repeatable platform patterns and reference architectures
• Drive adoption of automation-first operational practices
• Embed Infrastructure as Code (IaC) and GitOps-based delivery models
• Leverage Artificial Intelligence (AI) tools and workflows to improve operational productivity
• Continuously improve platform services using data, insights, and emerging technologies
• Ensure alignment to platform architecture and engineering standards
• Partner with Architecture to deliver scalable, supportable, and consistent solutions
• Drive operational quality, reliability, and discipline across teams
• Establish guardrails for cloud and Kubernetes platform usage
• Manage ~15 engineers and platform engineers across three teams
• Own hiring, performance management, and capability development
• Build a high-performance, accountable team culture
• Develop leadership and technical capability within operations teams

Engineering Manager – Operations

• Lead the end-to-end delivery of complex software programs
• Drive high-performing, cross-functional squads using Agile methodologies
• Act as the primary liaison between technical teams and executive leadership
• Anticipate project blockers and dependencies through structured risk assessments
• Champion an 'AI-First' approach by integrating AI tools into the development lifecycle
• Leverage AI-driven insights and predictive forecasting for team capacity planning

• Execute the technology roadmap for the digital program ensuring alignment with business goals
• Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and technical excellence
• Architect and oversee the development of AI-driven features that enhance connect rates and conversion rates across multiple digital channels
• Ensure scalability, security, and reliability in a multi-tenant SaaS environment
• Collaborate with product managers, designers, and data scientists to develop and deploy cutting-edge campaign optimization techniques
• Stay ahead of emerging technologies and industry trends, integrating best practices into the development process
• Establish engineering best practices, CI/CD pipelines, and DevOps methodologies to improve development velocity
• Manage engineering budgets, resource allocation, and vendor relationships
• Work closely with operations, customer service, IT, and business leaders to align digital solutions with company objectives
• Ensure 99.99% uptime, scalability, and resilience of digital platforms to handle high call volumes

Engineering Manager – Digital

• Lead end-to-end project delivery from planning to execution
• Communicate effectively with clients, stakeholders, and internal teams
• Drive technical discussions around system architecture, scalability, and delivery
• Balance client expectations, project priorities, and team bandwidth effectively
• Mentor and guide team members while ensuring healthy work-life balance
• Continuously learn and stay updated with evolving technologies and industry practices
• Track milestones, risks, dependencies, and project schedules proactively
• Create and maintain regular project status reports and delivery metrics
• Establish efficient technical and operational processes for teams
• Provide accurate effort estimations and prioritize tasks across modules and teams
• Build strong feedback loops with internal and external stakeholders
• Drive key initiatives with organization-wide impact across teams and functions
• Improve reporting, operational efficiency, and delivery management practices.

• Lead, manage, and mentor a team of software engineers in designing and building cutting-edge e-commerce solutions using Java and modern frameworks (e.g., Spring Boot).
• Develop and oversee the long-term strategy, technical design, and architectural decisions for the team, ensuring optimal JVM performance and system scalability.
• Drive software development processes including Java coding standards, rigorous code reviews, testing, and operations to ensure the delivery of high-quality software.
• Collaborate with cross-functional teams, product management, and other stakeholders to define, design, and ship new features.
• Coach and mentor team members in their professional development while fostering an environment of innovation, specifically nurturing advanced Java engineering skills.

• Understand Marketplace problems, through direct communication with product/business, by analysing data, and by working with other engineering/business/program/product stakeholders.
• Help define the technical roadmap to solve the business and product problems by building solutions as multi-tenant, scalable and extensible platform approach.
• Own the entire product delivery end to end.
• Work very closely with various business stakeholders to drive the execution of multiple business plans and technologies.
• Improve, optimize and identify opportunities for efficient software development processes.
• Hire, Develop and Retain a strong team of engineers.

• End to end ownership of team deliverables and objectives
• Set technical strategy and engineering best practices in collaboration with senior engineers
• Provide active career development and technical guidance to engineers
• Hiring, team building, and performance management
• Collaborate closely with business stakeholders

Software Engineering Manager, Data Platform

• Personally contribute to design, architecture, and implementation - especially on the Mac/Windows platform build-out and the most complex cross-platform challenges.
• Write and review production-quality systems code in C/C++, C#, or Swift/Objective-C; actively participate in code reviews and set the quality bar by example.
• Own architecture decisions on agent design, kernel-userspace interaction, update safety, MDM deployment, and performance/security trade-offs across all three platforms.
• Lead design reviews - not just as a reviewer, but as an author and key decision maker.
• Dive into customer impacting bugs, kernel panics, race conditions, or reliability issues alongside the team when it matters most.
• Lead, mentor, and grow a multi-platform team of 10+ endpoint engineers across Mac, Windows - with active hiring underway for Linux.
• Own the full people management lifecycle: hiring bar-setting, onboarding, performance management, career development, and retention.
• Build a high-trust, high-accountability culture where engineers are empowered to own problems end-to-end and move fast without sacrificing reliability.
• Partner with recruiting to close senior Linux engineering talent, using your technical credibility to attract engineers who want to work for someone who gets it.
• Drive quarterly planning and sprint execution across all three platform teams, maintaining alignment on shared milestones and customer commitments.
• Remove blockers relentlessly - technical, organizational, or cross-functional - to keep teams shipping at startup velocity.
• Own end-to-end delivery of the Linux endpoint agent: from initial architecture through GA, coordinating across engineering, QA, security, and CS teams.
• Establish and track engineering health metrics: feature velocity, incident rates, agent reliability SLOs, and customer escalation trends.
• Serve as the primary engineering partner to the VP of Engineering, Product Management, and Security Research on endpoint strategy and roadmap.
• Represent endpoint engineering in customer escalations, security reviews, and enterprise prospect conversations - with the technical depth to be credible in the room.
• Collaborate with QA to raise the bar on test coverage, MDM compatibility validation, and release confidence across Mac, Windows, and Linux.
• Translate field feedback from Customer Success and Solutions Engineering into prioritized, well-scoped engineering outcomes.

Senior Engineering Manager – Endpoint

• Lead, mentor, and grow a team of backend and frontend engineers (6–10 members).
• Foster a culture of ownership, high performance, and continuous improvement.
• Drive sprint predictability, engineering quality, and delivery excellence.
• Define and evolve the architecture for scalable, high-performance search systems.
• Drive design decisions across indexing pipelines, query processing, and ranking frameworks.
• Own key search metrics: relevance, latency, CTR, and conversion.
• Collaborate with Product, UX, and Data teams to define and execute the search roadmap.
• Oversee end-to-end delivery of search platform enhancements—from design to production.
• Communicate effectively with product, business, and senior leadership.

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