Software Engineer, Cloud Engineer - Software, DevOps

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.

With our Decision Intelligence Platform,
Movement we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.

We expect every project
44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you’re building product, serving customers, managing people, or running operations, AI is a tool you’re expected to use with intent, curiosity, and judgment. We don’t expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly.

We invest in our team’s AI fluency because we believe it’s a competitive advantage for every person at project
44, not just our engineers

project
44 is looking for a Staff Software Engineer to join our engineering team. You will work in a fast-paced Agile environment owning technical solutions for broad and complex integration challenges, helping accelerate how project
44 connects to the world’s logistics networks. This role carries deeper technical ownership and cross-team influence than our Senior Software Engineer track, and is expected to shape strategy for their team’s systems while mentoring engineers beyond their immediate team.

• Own the design and technical direction for state-of-the-art integrations that expand our ever-growing network of connected carriers and customers, applying insightful and strategic approaches to broad or ambiguous requirements.
• Manage integrations through their full life cycle, and drive how your team monitors, operates, and improves the supply chain visibility platform it owns.
• Own data-consistency and change-propagation guarantees for shared master data, including event-driven changelog/CDC pipelines that fan out to a wide set of downstream consumers.
• Design resilient integrations with external, non-p44 API providers — handling rate limits, retries, and circuit-breaking for third-party and regulatory data sources.
• Build systems in a multi-cloud environment (we use AWS and GCP; experience with other clouds such as Azure is valued).
• Initiate and facilitate discussions with cross-functional partners on complex technical problems, communicate standards, and get buy-in on solutions.
• Partner with business stakeholders to align requirements, and proactively identify solutions to issues affecting your team and adjacent teams.
• Share ownership of all facets of software delivery — development, operations, and test — and set the standard for code quality and maintainability on your team.
• Assume on-call responsibilities for systems built and owned by your team, and lead investment in tools, monitoring, and automation to improve the on-call experience for the whole team.
• Mentor engineers on your team and across other teams, both technically and culturally, and act as an emerging leader and role model.
• Collaborate cross-functionally to spec out high-level design for large projects from a PRD, and occasionally contribute to org-wide engineering strategy.

• 9+ years professional experience building large-scale, real-time or near-real-time cloud systems.
• Strong programming and debugging skills, with deep proficiency in Java.
• Demonstrated experience owning technical solutions end-to-end and leading their execution across a team.

• Building systems in a multi-cloud environment. We use AWS & GCP but value experience in other cloud…