Were looking for a highly skilled and motivated Software Engineer to join the Resolve (formerly DevOcean) team at our company. In this role, youll take a hands-on approach to design, build, and maintain the security tools, workflows, and integrations that power our platform and drive our product forward. Collaborating with diverse teams, you'll play a pivotal role in shaping the success of our products and delivering unparalleled experiences. Together, we'll create robust and innovative solutions that push the boundaries of cybersecurity.
Roles And Responsibilities:
Develop and maintain integrations with third-party security and cloud platforms.
Ensure scalability, reliability, and compliance of integrations.
Collaborate closely with product managers and quality assurance engineers to deliver new features and improvements.
Implement scalable and secure backend solutions, following industry best practices and coding standards.
Participate in code reviews, provide constructive feedback, and ensure high-quality code through unit testing and documentation.
Collaborate with other teams to define and refine product requirements, contributing to the overall product roadmap.
Assist in troubleshooting customer issues and provide technical support when required.
Contribute to architectural discussions and technical decision-making, leveraging your expertise to drive the evolution of our products.
Our Tech Stack: Python, MongoDB (Atlas), AWS, and so much more.

Required Senior Staff Software Engineer, AI
Job Overview
Come join the team as a Senior Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Rsponsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

we are launching a bold new product that will change how businesses grow their money - and we're building the team to make it happen. Were looking for developers ready to lead and own the full journey - from design to deployment - building a cloud-native, AI-powered solution from scratch. Move fast, think big, ship products that impact businesses around the world.
We are seeking a creative and skilled Frontend Developer to build modern, responsive, and high-performance web applications. You will collaborate closely with our design, backend, and product teams to implement new features, enhance user experiences, and maintain existing applications.
What youll do
Play a key role in shaping the future of our companys application UI and setting high standards and best practices.
Building the UI of a comprehensive React application and developing our products and code for millions of customers in the fintech industry.
Solving complex problems with creative and practical solutions.
Implement features and user interfaces of our companys customers cross border.
Design and build efficient, reusable, scalable & testable FrontEnd.
Collaborate with our amazing Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing products.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews.
Monitor production systems and investigate potential issues.

Required AI Engineer
About The Position
Company Overview:
We are a global leader in digital intelligence solutions, empowering law enforcement, intelligence agencies, and enterprises to protect and save lives, accelerate justice, and make communities safer.
Our AI-powered Digital Intelligence Platform enables lawful access, collection, analysis, and sharing of digital evidence, while preserving data privacy and ensuring compliance.
Our solutions are trusted by thousands of agencies and organizations worldwide, across cloud, on-premises, and hybrid deployments.
Position Overview:
The Forensic Research Group (FRG) is seeking a highly skilled AI Engineer to help define the future of intelligent forensic research platforms.In this role, you will lead the design and integration of advanced AI capabilities into a large-scale, production-grade environment, working closely with core engineering and research teams.
You will contribute to unifying internal tools and workflows into a cohesive, AI-driven ecosystem that significantly enhances developer and researcher productivity.You will also drive the evolution of automation and analysis pipelines, replacing brittle processes with robust, scalable, and intelligent solutions.
A key part of the role involves exploring complex datasets, evaluating models, and applying generative AI and heuristic approaches to uncover, structure, and interpret digital artifacts.This position offers the opportunity to work on challenging problems at the intersection of AI, systems engineering, and data analysis, with real influence over architecture, tooling, and research direction.
If you are motivated by building high-impact AI systems, solving non-trivial technical problems, and enabling teams to operate at a higher level, this role provides a unique opportunity to make a lasting impact in a mission-driven domain.
Key Responsibilities:
Develop and implement AI solutions to parse and analyze data from forensic extractions, including mobile devices.
Design, build, test, and maintain efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS.
Utilize heuristic-based methods and GenAI technologies to enhance data identification and classification.
Research, explore data, assess, and implement the best models to solve various forensic research problems.
Collaborate with other professionals across the company, combining AI, Forensic Research, and Engineering expertise.
Translate forensic research methods into AI algorithms and innovation suggestions.

Required Staff Software Engineer, AI
Company Overview
We are the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits

We are seeking a creative and skilled Frontend Developer to build modern, responsive, and high-performance web applications. You will collaborate closely with our design, backend, and product teams to implement new features, enhance user experiences, and maintain existing applications. You will be joining a team who's owning Card issuing, Account Holder's Debit Cards lifecycle management, Card transactions, and providing a 3D Secure layer for online payments.
What youll do
Play a key role in shaping the future of our companys application UI and setting high standards and best practices.
Building the UI of a comprehensive React application and developing our products and code for millions of customers in the fintech industry.
Solving complex problems with creative and practical solutions.
Implement features and user interfaces of our companys customers cross border.
Design and build efficient, reusable, scalable & testable FrontEnd.
Collaborate with our amazing Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing products.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews.
Monitor production systems and investigate potential issues.

We are developing state-of-the-art LiDAR sensors and advanced perception software for the automotive industry. We are looking for a Senior System Engineer to join our fast-paced, innovative team developing LiDAR systems for autonomous vehicles. We are looking for a talented hands-on contributor and feature owner, to lead multi-disciplinary systems development and integration, from KPI and data analysis and algorithm prototyping to customer delivery.
Responsibilities
Lead system engineering activities across the LiDAR development lifecycle, from concept through integration and validation.
Develop LiDAR features including algorithms, calibration methods and post-processing solutions.
Perform system-level testing, characterization and modeling.
Contribute to requirements definition, system design, and design reviews with cross-functional teams.
Develop Python- based simulations, prototypes, and automation tools for rapid proof-of-concept and laboratory equipment control.
Lead development processes according to Automotive SPICE standards.

We are looking for an experienced, opinionated, and highly technical Staff Data Engineer to define the long-term direction of our Data Platform.
This role is ideal for a senior data leader who combines deep hands-on expertise with strong architectural judgment, enjoys mentoring others, and takes full ownership of complex, high-scale data systems.
You will drive platform architecture, set engineering standards, and lead the design and delivery of scalable batch and streaming data solutions on AWS.
Key Responsibilities:
Technical Leadership & Architecture:
Own and evolve the overall data platform architecture-scalability, reliability, security, and maintainability.
Lead the long-term strategic direction of the platform, balancing performance, cost, and operational excellence.
Introduce and drive adoption of modern data paradigms: lakehouse (Iceberg), event-driven pipelines, schema-aware processing.
Data Lake & Architecture Ownership:
Design, model, and evolve the Data Lake architecture, including:
Storage layout and data organization
Data formats and table design (e.g., Iceberg)
Batch and streaming ingestion patterns
Schema governance and lifecycle policies
Define and promote best practices for data modeling, partitioning, and data quality.
Ensure the Data Lake supports analytics, ML workloads, and operational systems at scale.
Platform Engineering:
Design and build high-scale ETL/ELT pipelines leveraging Apache Spark (EMR/Glue) and AWS-native services.
Optimize production-grade pipelines using S3, Athena, Kinesis, Lambda, Step Functions, and EKS.
Lead the rollout of modern patterns such as lakehouse architectures and event-driven data pipelines.
Security & Governance:
Ensure alignment with AWS security best practices-IAM, encryption, auditing, and compliance frameworks.
Partner with security and governance teams to support regulated and sensitive data environments.
Mentorship & Collaboration:
Serve as a technical mentor to data engineers; elevate team capabilities.
Lead architecture reviews and cross-team design discussions.
Work closely with Data Science, ML Engineering, Backend, and Product teams to deliver end‑to‑end data solutions.