• Own the configuration and ongoing optimization of Adaptive models, including dimensions, levels, hierarchies, attributes, versions, and assumptions. • Administer and support modeled and cube sheets, including advanced formula development (lookups, allocations, driver-based logic). • Manage Data Agent processes and integrations; coordinate data flows, refresh schedules, and dependencies. • Own data mapping tables, transformations, and reconciliation controls; proactively monitor, triage, and resolve data load exceptions. • Maintain and enhance alternate reporting hierarchies to support evolving business and management reporting needs. • Design, build, and support Dashboards, Hubs, and Reporting solutions using HTML reporting and OfficeConnect. • Administer role-based security, including access provisioning, periodic reviews, and compliance with governance standards. • Partner with IT and EDW teams on schema changes, performance tuning, and data lineage; document interfaces, dependencies, and SLAs. • Support forecast, budget, and commit cycles, including version management, locks, workflow configuration, and calendar orchestration by partnering with the Finance team and ensuring timely version creation & management, updating assumptions and loading source data. • Ensure integrity of financial data by performing tie-outs to consolidation system; investigate and resolve mapping and timing variances. • Develop and maintain documentation, including playbooks, SOPs, data dictionaries, and cutover/runbook materials. • Lead user enablement through training, office hours, and ongoing support; provide Tier 2/3 issue resolution. • Drive continuous improvement of the Adaptive platform, including scalability, performance optimization, and expanded enterprise adoption. • Support expansion of Adaptive to non-finance users by enabling standardized reporting, dashboards, and governed self-service capabilities. • Partner with FP&A and business stakeholders to translate planning and reporting requirements into scalable system design. • Support audit and compliance requirements, including change management, access controls, and documentation readiness. • Administer FCCS application: monthly setup, forms, reports, FX. • Maintain FCCS metadata, hierarchies, security roles, and consolidation rules. • Oversee close cycles; monitor integrations, validate data loads; troubleshoot variances. • Configure Data Exchange & Data Management workflows and mappings. • Develop Smart View reports and support statutory reporting. • Automate tasks using EPM Automate and REST APIs.

• Contribute to the development and testing of our satellite flight software. • Involved in the full lifecycle of flight software development, from requirements definition through operations. • Contribute to mission concept development, in-house modeling and simulation capabilities, and proposal writing. • Provide autonomous support of complex assignments, under the leadership of the Software Team Lead and Software Engineering Manager. • Upgrade existing flight software for new missions. • Develop in-house tools to analyze flight software performance and assess compatibility with new mission and conops. • Develop and execute flight software verification and validation tests at various levels. • Work with manufacturing engineers to support installation onto test environments and eventual flight hardware. • Participate in anomaly resolution activities and patch existing flight software. • Develop, integrate, and test flight software applications using spacecraft flight software frameworks such as NASA's Core Flight System (cFS).

Role Description I'm a product founder building two things, and this role sits across both: - A portfolio of our own apps on the Atlassian Marketplace (Jira, Confluence, Jira Service Management), built on the Forge platform. - A software developer staff-augmentation service (launching soon) — where we place our developers with external clients to work on the client's projects. Here's how that works in practice for you: - When you're booked by a client , you work on that client's projects as part of their team. - When you're not booked , you work on our own Atlassian Marketplace apps. That means there's always meaningful work — you're never idle between client bookings — and you get variety: real client products and our own product line. The client work runs on normal business hours. No uncommon shifts, no late-night hours. I'm looking for one skilled developer to own the technical side of this long-term — from building and launching new apps to delivering solid work for clients. This is not a short-term project. I want someone who wants to grow with a product business and take genuine ownership of what they build. Qualifications - A degree in Computer Science, Software Engineering, or a related field - At least 3 years in backend or full-stack development - Experience in B2B software / services startups, IT-enabled services, or software companies is a plus Requirements - Strong JavaScript and TypeScript - Node.js - React - REST API design and consumption - SQL and relational databases - Git — comfortable with branches, pull requests, and collaborative workflows - Clear written English — this is how we work day to day - Strong logical thinking and problem-solving — you can break down complex requirements independently - Comfortable working remotely and asynchronously — you manage your own time well - PostgreSQL - Automated testing (Jest) - Docker - CI/CD - NestJS - AWS - GraphQL - Agile / Scrum - Next.js Benefits - Stable, permanent monthly salary of 60,000 BDT base, paid on time every month via Wise - Higher pay during client work — when you're booked to a client, your salary for that period is 20% above the base rate - Completion bonus — a bonus paid on the successful completion of client work - Two festival (Eid) bonuses per year — part of your annual package - Fully remote — work from anywhere - Normal daytime hours — no late-night shifts, even on client work - Flexible scheduling — I care about output, not when you work - Always meaningful work — client projects when booked, our own products when not - Variety — exposure to a range of real client products alongside our own app portfolio - Long-term engagement — I'm building a product business and a service business, not a one-off project - Direct communication with the founder — no corporate layers, no middle managers - Modern tooling — your work environment includes Claude Code and other AI dev tools Hiring Process - CV review - Online technical assessment via TestDome — about 60 minutes, covering the core stack - Live interview with me — covers your background, technical thinking, and a walkthrough of a real app concept - A technical interview with one of your future colleagues - Paid trial milestone — a small, scoped piece of work on a real project, paid at full rate If both sides are happy after the trial, we move to the full-time engagement.

• You're a solution developer, but you’re also an engineer who builds the infrastructure that makes AI solutions reliable, scalable, and maintainable. • You'll be responsible for the engineering layer underneath our AI-powered workflow tools: the extraction scripts, validation frameworks, output schemas, integration connectors, and quality harnesses that turn a capable AI model into a dependable production tool. • You'll set engineering standards, make architectural decisions, and be the person others come to when a pipeline is misbehaving in a way nobody can explain. • You'll develop deep familiarity with the information landscape of construction and real estate project delivery, understanding what data exists, where it lives, what form it takes, and what has to happen before an AI model can do something useful with it. • You'll design the structured output contracts that govern what AI solutions produce and build the validation logic that enforces them. • When a solution produces unexpected output or degrades silently on an unusual document, you'll own the detection and recovery logic. • You'll define what production-ready looks like before building begins, run solutions against diverse real-world document sets, and maintain quality as the underlying models and input corpus evolve over time. • You'll connect AI solutions to JLL's enterprise environment using REST APIs, Microsoft Graph, SharePoint, OneDrive, and other standard integration surfaces. • You'll handle authentication lifecycle, retry logic, rate limits, and the realities of operating inside an enterprise network with real access controls. • You'll design integrations that are resilient and maintainable, not just functional in a demo environment. • You'll think carefully about how to structure tool availability, manage context across steps, and build agent workflows that are reliable and auditable rather than unpredictable. • You'll stay current on how this space is evolving and bring informed opinions about when agentic patterns are the right approach and when they aren't. • As the AI solution portfolio grows, you'll establish and maintain the engineering patterns others follow: packaging conventions, versioning, configuration management, logging, and error handling. • You'll write internal tooling that makes building new solutions faster and less error-prone, and you'll make architectural decisions that hold up as the team and codebase scale.