Junior Cloud Software Engineer to contribute to the development, deployment, and enhancement of enterprise-scale, AI-enabled data processing and visualization systems for mission-critical federal customer environments.
Responsibilities
Assist in developing, testing, deploying, and maintaining cloud-native microservices and applications utilizing AWS and/or Azure
Support the implementation of resilient data processing pipelines, event-driven components, and APIs
Develop, test, and maintain responsive Web User Interfaces (UIs), front-end components, and dashboards
Assist in connecting AI/ML models, cognitive services, vector databases, and Large Language Model (LLM) APIs into core analytics workflows
Collaborate with technical teams to assess application security, inspect software/mobile components, and support custom utilities for data recovery and extraction
Passionate Software Engineer Intern eager to learn, grow, and make a real impact on how patients and providers get the right health content, contributing to designing, building, and optimizing the Content Intelligence platform.
Compensation
Base Salary Band: $23-$25 Hourly
Responsibilities
Collaborate with cross-functional teams to design and implement new features that enhance Content Intelligence capabilities
Develop, test, and deploy scalable services using modern frameworks and cloud technologies
Work in an AI-first, agentic development lifecycle (Agentic DLC), using AI agents and assistants such as Claude Code, Cursor, and GitHub Copilot across the full product lifecycle
Help build AI-powered capabilities such as content chatbots and full-text and vector (semantic) search
Build and deliver functionality with a security-first culture: secure coding, automated code and dependency scanning, secrets management, and least-privilege access built into every change
Requirements
Currently pursuing a bachelor’s or master’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field, with an expected graduation date of June 2028 or earlier
The Provider team builds the systems that power how group-based behavioral care is prepared, delivered, and improved over time, helping facilitators show up to every session informed, confident, and effective.
Compensation
The total target base compensation for this role will be between $140,000 and $185,000 per year at the commencement of employment.
Responsibilities
Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
Be an owner. Collaborate with product and design to iterate to top notch product solutions
Identify bottlenecks and implement improvements to engineering processes, tools, and procedures.
We are seeking an exceptional and experienced Data Engineer team member, a role for someone who shares our passion and obsession with shipping insightful and accurate data. You will be a core member of our team dedicated to helping drive our growth by building and maintaining data pipelines that deliver key business insights.
Responsibilities
Collaborate with other software engineers, product managers, and client-facing teams to understand client requirements and translate them into technical solutions
Lead the deployment and integration of our software and data solutions in client environments, ensuring smooth implementation and adherence to project timelines
Actively participate in designing, building and testing scalable data architecture
Craft clean, testable, and maintainable code
Participate in the end-to-end software development of new feature functionality and design capabilities
Partner with Account Executives to earn the technical win that unlocks the business win. Lead discovery, deliver demos tailored to the customer's business, run deep technical working sessions, and design proofs of value that show measurable business outcomes.
Locations (3)
Austin, Texas, United States
Menlo Park, California, United States
Reston, Virginia, United States
Compensation
This range reflects Seekr’s good faith estimate of what it expects to pay for this role at the time of posting. Placement within the range depends on a number of factors, including but not limited to geographic location, applicable labor categories under Seekr’s federal government contracts, relevant prior work experience, specific skills, education, and certifications. This role may also be eligible for annual bonus, equity, other other incentive compensation.
The proposed salary range for this position is:
$180,000—$250,000 USD
Responsibilities
Lead technical discovery to uncover the business problem, pain points, users, data, and technical landscape
T
Principal Consultant – Modern Data & Analytics Engineering
Lead technical workstreams across data platform modernization, cloud migration, enterprise integration, analytics, and AI-enablement initiatives, combining strong technical skills with consulting judgment to solve end-to-end data problems for clients.
Compensation
Currently, the base salary range is estimated to be between $140,000 and $170,000.
Responsibilities
Lead technical workstreams across data platform modernization, cloud migration, enterprise integration, analytics, and AI-enablement initiatives.
Assess existing data ecosystems, identify architectural and engineering constraints, and define practical modernization recommendations.
Design scalable cloud-based data architectures, including data lake, lakehouse, warehouse, data mesh, and data-product patterns.
Build and optimize batch, near-real-time, streaming, and API-based data integrations across enterprise source systems.
Develop reliable ETL and ELT pipelines using modern engineering frameworks, orchestration tools, and cloud-native services.
Requirements
Four-year degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent professional experience
Senior Backend Engineer (IC4) for the Growth squad at Clubhouse, responsible for building and shipping experiments to increase user engagement and retention.
Responsibilities
Solve dynamic user problems around new and returning user journeys
Ship experiments at speed
Improve ranking algorithms and personalization models for content discovery and friend suggestions
Make every notification count with better targeting and frequency caps
Iteratively improve a legacy codebase while maintaining long-term maintainability
Build products that help facilitators show up to every session informed, confident, and effective.
Compensation
The total target base compensation for this role will be between $140,000 and $185,000 per year at the commencement of employment.
Responsibilities
Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
Be an owner. Collaborate with product and design to iterate to top notch product solutions
Identify bottlenecks and implement improvements to engineering processes, tools, and procedures
Software Engineer InternNewPatientPoint - Invite Only · Cincinnati, US
Software Engineer, Full Stack (Provider)NewCharlie Health Clinical · New York, US
Senior QA EngineerNewDuco · London, United Kingdom+4 more
Senior Solutions ArchitectNewSeekr · Austin, US+2 more
Senior Backend EngineerNewClubhouse · Remote, US
Software Engineer, Full Stack (Provider)NewCharlie Health Clinical · New York, US