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We are looking for a Software Development Manager to help us define and build the future of computing. The Elastic Block Store (EBS) service delivers high performance virtualized storage "in the cloud" for EC2. Durable and performant storage is a key building block for any application and as a member of the EBS team you'll work alongside exceptional engineers and leaders to develop and operate one of the largest distributed storage systems in the world.


Key job responsibilities
You will collaborate with and learn from the industry's best minds to solve interesting and challenging problems at an enormous scale on a daily basis. This collaboration extends beyond just the team in EBS. You will have the opportunity to work with many other teams in us to build a secure, performant, and reliable system.

We are looking for a junior Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment. Working for Annapurna Labs is thrilling and a constant learning experience. As an embedded SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customers needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As a SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.

Key job responsibilities
We will be conducting a unique onboarding training program, where you will be studying the following with our technical experts and team leaders:
* Embedded systems basics.
* Annapurna technologies in EC2.
* Cloud compute development.
* Networking 101.

DealHub's award-winning CPQ and Revenue Platform offers the most complete and connected revenue workflow for sales organizations. We are looking for a GTM Business Analyst to join our team and help build the Business Command Center. In this role, you will bridge the gap between data, business strategy, and daily execution. As the analytical engine behind our Go-To-Market (GTM) strategy, you will help launch new products, enter new markets, and optimize existing revenue streams, while also taking ownership of daily operational tasks. This role requires a hands-on approach to gathering and analyzing essential data, as well as the ability to initiate and drive small-to-mid-sized GTM programs. You will work closely with Sales, Marketing, and Customer Success teams to ensure our revenue engine is running efficiently.
key Responsibilities
* Operational Ownership & Data Collection: Manage daily operational GTM tasks, including manual data gathering, tracking, and organization, ensuring full visibility even where automated pipelines are still being developed.
* Performance Tracking: Monitoring key GTM metrics and KPIs, sales pipeline health and CSM optimization.
* Sales & Marketing Alignment: Analyzing campaign effectiveness, lead quality, and the handover process from marketing to sales to ensure the revenue engine is running efficiently.
* Reporting & Dashboards: Building and maintaining dashboards to give leadership real-time visibility into the success of a GTM strategy.
* Market & Competitor Research: Analyzing market trends, identifying target audience segments, and evaluating competitor pricing and positioning.
* Pricing & Packaging: Assisting in the data modeling required to determine how a product should be priced and packaged for different market segments.

we are looking for a Software Engineer- Data Platform.
The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities:
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

we are looking for a Software Tech Lead.
About the Role & Responsibilities:
Drive the technical vision for Hive Team - We're building high-leverage internal platforms that power decisioning and analytics.
Lead complex, cross-functional technical projects from inception to implementation, ensuring alignment with architectural standards and best practices.
Mentor and guide engineers to foster technical excellence, while partnering with product, engineering, research, and ops to translate complex requirements into scalable, reliable systems.
Establish and champion engineering best practices, high coding standards and a winning professional culture, within our team and across the engineering organization.

we are looking for a Senior Software Engineer.
About the Role & Responsibilities:
Build high-leverage internal platforms that power decisioning and analytics.
Lead technical projects end-to-end, covering all stages from architecture to execution.
Own your work: partner closely with research, product, engineering and ops to turn complex requirements into simple, reliable systems.
Be a technical leader for our infrastructure and products.

As the AI Solution Manager you will be the primary technical executor of the organizations AI transformation. This is a critical role within our AI Squad who map opportunities and execute end-to-end solutions that drive a measurable competitive advantage. You are the "hands-on" specialist responsible for the delivery, integration, and adoption of AI tools across all departments. This role requires a high degree of technical literacy regarding infrastructure and integrations, combined with a proven track record in large-scale system implementation.
Responsibilities:
Own the technical rollout of AI tools, from initial configuration and API integrations to cluster management and full-scale production deployment.
Architect and build complex automated workflows that bridge the gap between AI products and internal organizational systems, ensuring reliability and scalability.
Manage the technical environment requirements for AI tools, including the setup and maintenance of clusters and the coordination of the underlying system architecture.
Act as the primary technical point of contact for departments during the implementation phase, translating business requirements into precise technical configurations and workflows.
Establish performance metrics for implemented tools, monitoring adoption and technical efficiency to ensure maximum organizational impact.

we are looking for a BI Team Lead.
The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions.
As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. Youll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the companys understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment.
You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making.

we are looking for a Data Science Group Lead.
The Group Lead is a critical leadership position within . This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities:
Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists.
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability.
Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

We are seeking an experienced Linux Systems Administrator to join the team responsible for managing and maintaining our high-performance, multi-user Linux server environment and CI/CD pipelines. This hands-on role is critical to the daily operations of our research and engineering groups. The ideal candidate will possess a strong background in Linux system administration, proficiency in Python for updating and maintaining custom tooling, and the technical capability to provide high-tier support to our engineering users. As a proactive, self-learner individual, you take initiative, work independently, and actively identify opportunities for operational improvement and bring new ideas to the table.
Responsibilities:
Core Infrastructure: Manage and scale our large-scale AWS-hosted Linux server environment, ensuring high availability and performance.
Tooling & Automation: Architect and maintain custom Python-based solutions for automation, internal dashboards, and self-hosted services.
Engineering Enablement: Provide high-level support for our internal users, resolving complex environment and connectivity challenges to keep the team unblocked.
Pipeline Reliability: Own the health and optimization of our CI/CD pipelines (Jenkins/GitHub Actions).
Security & Governance: Proactively manage system hardening, backups, and routine security audits.