Seeking a Director to build, maintain, and improve general software applications and IT infrastructure focusing on compute, storage, and modern public and private cloud infrastructure.
Compensation
Expected base pay rates for the role will be between $160,000 and $160,000 per year at the commencement of employment.
Responsibilities
Build, maintain, and improve general software applications and IT infrastructure focusing on compute and storage.
Provide in-person and real-time support to businesses adopting modern cloud-based software.
Design and develop software applications to use public cloud, private cloud, and modern cloud compatible technologies.
Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Create documentation and deliver training to operations teams, developers, and business units.
Build, maintain, and improve general software applications and IT infrastructure focusing on compute and storage, as well as modern public and private cloud infrastructure. Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Compensation
Expected base pay rates for the role will be between $160,000 and $160,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Responsibilities
Provide in-person and real-time support to businesses adopting modern cloud-based software.
Design and develop software applications to use public cloud, private cloud, and modern cloud compatible technologies.
Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Consider performance, resiliency, high-availability, scalability, security, and cost.
Create documentation and deliver training to operations teams, software application developers, and business units.
Hands-on, backend-heavy engineering role focused on building a unified, large-scale machine learning platform that drives one-to-one offer, content, and channel decisions. Includes technical leadership, architecture design, and mentoring engineers.
Compensation
The typical pay range for this role is: $144,200.00 - $288,400.00
Responsibilities
Architect and build scalable, production-grade backend services (APIs, microservices, batch and streaming pipelines)
Design data contracts and interfaces between data engineering, model training, and production serving layers
Own the design of versioned, queryable feature stores and point-in-time lookup APIs
Design and optimize large-scale distributed computing workflows
Set and enforce engineering standards across the ML codebase (modular design, dependency management, code review, automated testing, CI/CD)
Lead the architecture, design, and implementation of high-performance backend systems for Akamai’s API Team.
Compensation
For US based candidates only - the base salary for this position ranges from $146,400 - $263,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP).
Responsibilities
Architect high-performance REST APIs and service layers using Python and Flask
Design robust schemas and optimize database queries using SQLAlchemy
Lead technical design reviews and mentor junior and mid-level engineers
Implement authentication, rate limiting, and observability across distributed backend services
Design fault-tolerant backend services with circuit breakers and defensive validation
Mid-level Software Engineer with strong software testing experience to join the Science User Applications Group to build and maintain user-facing software like the NRAO Science Archive.
Locations (4)
Albuquerque, New Mexico, United States
Socorro, New Mexico, United States
Charlottesville, Virginia, United States
Green Bank, West Virginia, United States
Compensation
The starting salary of this position is between $96,588 and $120,000.
Responsibilities
Designing, building, and maintaining a robust, automated test infrastructure covering unit, integration, and end-to-end testing
Design, build, and maintain production ETL pipelines for predictive modeling workloads.
Compensation
The pay range for the role is $82,000 to $92,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.
Responsibilities
Design, build, and maintain production ETL pipelines for predictive modeling workloads.
Develop and optimize PySpark jobs on Databricks, ensuring performance and reliability at scale.
Write complex, well-structured SQL for data transformation, validation, and reporting across SQL Server, Synapse Analytics, and Snowflake.
Collaborate with data scientists to understand data requirements and translate them into robust engineering solutions.
Monitor pipeline health, troubleshoot failures, and implement improvements to data quality and observability.
Requirements
Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related quantitative field.
Own the product's technical foundation, ship full-stack features, build integrations, design data model, manage infrastructure, shape AI integration, set engineering bar and hire next engineers.
Compensation
$160k - $250k annually + an equity grant (share count and fully diluted total shared during the process).
Responsibilities
Own the codebase and architecture end to end
Ship full-stack features across Python, FastAPI, SQLAlchemy, PostgreSQL, WebSockets, and Next.js
Build integrations with manufacturers' ERP systems and other third-party tools
Design and evolve the data model with clean, reversible Alembic migrations
Build the real-time layer that keeps manufacturers and brands looking at the same status, documents, and messages
Lead technical direction for backend systems powering internal pentesting capabilities, designing architecture, APIs, ETL pipelines, and data models.
Compensation
Base salary range: $229,000 - $270,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills. Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.
Responsibilities
Set the architecture and technical direction for core Python services and APIs
Lead complex backend initiatives from problem definition to delivery and production operation
Design and evolve reliable processing workflows for large-scale internal assessments
Shape processing and data-access patterns to scale across concurrent workloads
Lead the design and operation of high-throughput ETL pipelines
Requirements
Bachelor's Degree in Computer Science, Computer Engineering, or a related field
Senior II Software EngineerNewAkamai · US
Software Engineer - Test and QualityAssociated Universities Inc. · Albuquerque, US+3 more
Data EngineerChubb · Jersey City, US
Founding Engineer (Python / FastAPI / Next.js) — (US Based)Sierra Studio · Remote, US
Staff Backend EngineerHorizon3 · Remote, US