DeveloperJobs.io - Jobs for software engineers and developers.

Senior C# Cloud Mobile SQL DevOps

Latest Jobs

16d ago

AI Developer

Family Dollar Chesapeake, VA

Chesapeake, VA

16d ago

Full time Ai Agents Ai Workflows Artificial Intelligence

Apply Now

Job Description

This on-site AI Developer role in Chesapeake, VA, focuses on building production AI workloads on Google Cloud Platform, including agentic AI, MLOps pipelines, and vendor integrations, from incubation through deployment. The position emphasizes developing in-house AI capabilities with guardrails, experimentation, and mentoring for junior engineers.

Responsibilities

Design, build, and deploy production AI applications on Google Cloud Platform, applying machine learning and generative AI techniques to solutions across merchandising, supply chain, store operations, finance, and customer experience.
Develop agentic AI applications using modern agent development kits and frameworks, including multi-agent workflows, tool integration, and human-in-the-loop checkpoints.
Construct and operate retrieval-augmented generation solutions that ground large language models in Family Dollar data, covering ingestion, embeddings, vector and hybrid search, reranking, and evaluation.
Establish and maintain MLOps pipelines for AI workloads, including CI/CD, model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures.
Implement enterprise-grade guardrails for AI applications, including prompt injection defense, PII handling, content safety, role-based access controls, and audit logging, collaborating with platform, security, infrastructure, and business stakeholders to meet standards on identity, networking, data residency, and compliance.
Evaluate vendor and partner AI products for suitability within Family Dollar's IT environment; develop proofs of concept, conduct technical bake-offs, and deliver clear recommendations.
Execute experiments to assess emerging AI capabilities and determine internal product-market fit.
Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution.
Manage the full lifecycle of code, from initial prompt engineering and fine-tuning to CI/CD and real-time monitoring of agent performance.
Mentor junior engineers and share knowledge across the AI and Automation team.
Collaborate with IT support teams to co-own AI application support, including on-call coverage, while transitioning ownership through SOPs, runbooks, and helpdesk documentation.
Performs other duties as assigned.

Requirements

Authorized to work in the United States without the need for current or future visa sponsorship.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; Master’s degree is preferred.
8+ years of progressive IT experience in large, cross-functional teams or projects, preferably within a retail environment.
Proficient in writing clean, well-tested Python code, participating in code reviews, and contributing to internal libraries, templates, and engineering best practices.
Ability to develop, present, and communicate technical concepts to varied audiences.
Demonstrates urgency and the ability to motivate a team in a dynamic environment.
Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc).
Advanced knowledge of recent GenAI platform advancements from leading providers and hyperscalers.
Experience with responsible AI practices, model governance, and frameworks for evaluating LLM safety and accuracy.
Contributions to open-source AI projects or relevant publications.

Technologies

Python
Google Cloud Platform
Google Agent Development Kit
Gemini Agent Platform
LangGraph

View full job page →

16d ago

Applied AI Lead Developer

Family Dollar Chesapeake, VA

Chesapeake, VA

16d ago

Full time Ai Agents Ai Ml Ai Workflows

Apply Now

Job Description

The Senior AI Lead Developer will oversee the design, development, and deployment of production AI applications, guiding a hands-on engineering team at Family Dollar. The role emphasizes agentic AI, retrieval-augmented generation, MLOps, and integration with the enterprise IT estate on Google Cloud Platform. A Bachelor’s degree is required, with a Master’s degree preferred, and candidates should bring about 10 years of relevant experience.

Responsibilities

Transform business needs into AI solutions that can be delivered quickly and iteratively on Google Cloud Platform.
Develop agentic AI applications using modern agent development kits and frameworks such as Google Agent Development Kit, Gemini Agent Platform, and LangGraph, including multi-agent workflows, tool integration, and human-in-the-loop checkpoints.
Design and operate retrieval augmented generation pipelines that ground LLMs in Family Dollar data, covering data ingestion, embeddings, and vector stores.
Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution.
Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures.
Implement enterprise-grade guardrails for AI applications, including prompt-injection defenses, PII handling, content safety, role-based access controls, and audit logging; collaborate with platform, security, infrastructure, and business stakeholders to meet standards for identity, networking, data residency, and compliance.
Define integration patterns and data contracts to connect AI applications with the existing IT estate, detailing APIs and data exchanges across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain) in partnership with system-owning teams.
Own the technical quality across AI initiatives by setting engineering standards, conducting code reviews, and minimizing technical debt to maintain operability and maintainability.
Collaborate with IT support to transition operations through SOPs, runbooks, dashboards, on-call coverage, and escalation points after handover.
Lead and mentor the engineering team, promoting knowledge sharing and enforcing technical standards across the AI and Automation functions.
Provide on-call technical support as needed.
Perform other duties as assigned.

Requirements

Experience in retail, supply chain, or large-scale operational environments involving retail systems such as POS, ERP, CRM, inventory, and logistics.
Advanced knowledge of recent GenAI platform developments and capabilities.
Hands-on experience with Google Cloud Platform, generative AI, large language models, and agentic frameworks.

Technologies

Python
Google Cloud Platform
Google Agent Development Kit
Gemini Agent Platform
LangGraph

View full job page →

16d ago

Project - Data Engineer

Deloitte Rochester, NY

Rochester, NY

16d ago

$57k - $96k/yr Full time Apache Airflow AWS Azure Data Factory

Apply Now

Job Description

Based in Rochester, NY and onsite, this role sits within Deloitte's data engineering practice. The Data Engineer – Project Delivery Analyst focuses on building scalable data pipelines on AWS and Snowflake, turning raw data into analytics-ready assets and elevating data quality and observability across delivery teams.

Responsibilities

Construct and optimize AWS-based data pipelines using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Create and maintain Snowflake objects (schemas, tables, views) and implement efficient SQL transformations to generate curated, analytics-ready datasets.
Automate workflows and scheduling with tools such as Airflow/MWAA, Step Functions, and Glue, ensuring proper dependencies, retries, and logging.
Implement data quality checks and basic observability, including validation rules, reconciliations, and alerts; assist with incident triage and remediation.
Improve pipeline and query performance through best practices in Python efficiency, S3 partitioning/file formats (Parquet/Delta), and Snowflake warehouse tuning.
Adhere to CI/CD and infrastructure-as-code standards (Git-based workflows, Terraform/CloudFormation) to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging; adopt and apply team engineering standards.
Maintain regular communication with Engagement Managers, project members, and cross-functional teams, escalating matters needing engagement management attention.
Lead client engagement workstreams focused on process improvement, optimization, and transformation, including implementing leading practice workflows and driving operational outcomes.

Requirements

At least 1 year of experience building and enhancing data pipelines and curated datasets for analytics and downstream consumers.
Minimum 1 year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
At least 1 year of cloud data engineering experience on AWS (preferred) or Azure/GCP, including orchestration/scheduling (Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet, Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Comfort with data quality, basic observability, and metadata/governance fundamentals.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Sponsorship for immigration may be limited.
Ability to travel approximately 10% of the time, depending on client engagements.

Technologies

Python
AWS
Snowflake
PySpark
Airflow
MWAA
Step Functions
Glue
S3
Parquet
Delta
Git
Terraform
CloudFormation
Azure Data Factory
Fabric Data Factory

Benefits

Discretionary annual incentive program, subject to program rules.

The Team

The AI and Data organization at Deloitte brings together engineering capabilities to design, deploy, and operate integrated solutions that span software, data, AI, network, and hybrid cloud infrastructure. The team emphasizes transforming how clients run mission-critical operations by modernizing data platforms and delivery models tailored to each engagement.

PREFERRED

Experience delivering projects in an Agile environment.
Strong analytical ability to juggle multiple projects and translate priorities into actionable work.
Ability to work independently or with minimal supervision.
Excellent written and verbal communication skills.
Capacity to present technical demonstrations effectively.

View full job page →

16d ago

Associate Director, Data Engineer: DSCS Digital Data Strategy

Merck Boston, MA

Boston, MA

16d ago

$129k - $203k/yr Full time Senior Analytics Associate Director

Apply Now

Job Description

Merck is seeking an Associate Director, Data Engineer within the DSCS Digital Data Strategy team, based on site in Boston, MA. The role centers on designing, constructing, and governing biologics data pipelines while shaping an end-to-end data strategy to support modeling, optimization, and decision-making across Digital Insights. This position requires a PhD and at least three years of relevant experience, with a salary range of $129,000 to $203,100 per year.

Responsibilities

Own the biologics data engineering domain, maintaining broad awareness of digital projects, data sources, systems, and data flows within the domain.
Contribute to defining and guiding the DSCS Digital Data Strategy.
Design and implement robust, scalable data pipelines that ingest experimental and process data from biologics source systems including process historians, chromatography equipment, electronic lab notebooks, and analytical instruments.
Provide analysis-ready datasets to support digital initiatives, covering process characterization models, data lineage, multivariate analytics, and cross-site manufacturing connectivity.
Establish and enforce data standards, metadata schemas, and ontology mappings to ensure biologics data is interoperable and readily usable by modeling and optimization workflows.
Collaborate proactively with automation teams to anticipate when new or modified automated workflows generate new data streams requiring pipeline development and ontology mapping.
Own and govern system-of-record standards for biologics, ensuring consistent configuration and data entry across experiments, molecules, and sites.
Catalog processes, analytical methods, instruments, and digital systems within the biologics domain to create a comprehensive data-landscape map.
Create and maintain data visualizations, dashboards, and reports that enable scientists to explore process data across runs, molecules, scales, and manufacturing sites.
Contribute to the biologics digital data strategy by identifying opportunities to improve data capture at the source and reduce friction between experimentation and modeling.
Mentor and guide supporting data engineers across modalities, ensuring alignment with domain strategy and ontology governance.
Maintain and version pipeline code in GitHub, adhering to team standards for code review, documentation, and deployment.
Build strong partnerships with process development scientists, analytical scientists, and manufacturing teams to gather requirements and shape the domain's digital data strategy.
Demonstrate excellent interpersonal, communication, and collaboration skills.
Model and promote diversity and inclusion within the team, fostering a supportive culture where all can thrive.
Collaborate effectively in a dynamic, integrated, multidisciplinary environment.

Requirements

Proficiency in Python and/or R, with comfort using development environments such as Jupyter, Posit/RStudio, or VS Code.
Strong SQL skills with hands-on experience writing and optimizing queries for relational databases and data warehouses.
Experience building ETL/ELT pipelines in a scientific or pharmaceutical context.
Familiarity with cloud platforms (AWS, Azure, or GCP) for data storage, processing, and integration.
Working knowledge of how process models, multivariate analyses, and statistical tools rely on experimental data to anticipate modeler needs and deliver structured datasets.
Experience defining or enforcing data standards, metadata schemas, or ontology mappings in a scientific or pharmaceutical setting.
Familiarity with version control systems (Git/GitHub) and collaborative software development practices.
Proven ability to lead technical initiatives, mentor junior engineers, and influence data strategy across multiple stakeholders.
Ability to deliver complex solutions under compressed timelines in a dynamic environment.

Technologies

Python and R
Jupyter, Posit/RStudio, VS Code
SQL
AWS, Azure, GCP
Databricks, Delta Lake
Git, GitHub
Streamlit, Shiny
Power BI, Spotfire, Tableau
Allotrope Simple Model, ISA-88, OPC-UA

Benefits

Medical, dental, and vision coverage for you and your family
Retirement benefits including a 401(k) plan
Paid holidays and vacation time
Sick leave and compassionate time off
Annual bonus and potential long-term incentives where applicable

Preferred Experience and Skills

Hands-on biologics process development experience—such as chromatography, filtration, purification, or formulation—and a track record transitioning into data engineering, data science, or computational roles.
Experience with data pipelines and analytics platforms such as Databricks, including notebook-based development, workflow orchestration, and Delta Lake.
Proven ability to create scientist-facing dashboards and exploratory data applications using visualization tools (Streamlit, Shiny, Power BI, Spotfire, Tableau).
Familiarity with ontology frameworks or standardized data models (e.g., Allotrope Simple Model, ISA-88, OPC-UA) and data mapping from instruments to structured schemas.
Understanding of Design of Experiments and process characterization study designs to structure data for statistical analysis of CPPs and CQAs.
Experience implementing data lineage and traceability across experimental systems, materials, and manufacturing steps.
Knowledge of regulatory expectations relevant to biologics process development, characterization, and validation (ICH Q8-Q12, validation lifecycle, comparability studies).
Experience collaborating with lab automation teams to integrate data from newly automated workflows.
Experience with cross-site data integration and harmonizing data from multiple manufacturing facilities.
Evidence of cross-functional collaboration spanning laboratory, manufacturing, modeling, and digital teams.

View full job page →

16d ago

Staff Software Engineer - AI Trainer

DataAnnotation Kansas City, MO 🇺🇸 Remote

Kansas City, MO

16d ago

$50 - $100/hr Contract Senior Ai Ml Ai Trainer

Apply Now

Job Description

DataAnnotation offers a fully remote contract role with flexible scheduling, competitive hourly pay, and the opportunity to influence AI training. In the Staff Software Engineer - AI Trainer position, you will design and solve coding problems used to train AI systems, write high quality code samples with clear explanations, and evaluate AI-generated code to guide future model development. This role supports remote work and enables you to set your own hours while contributing to real-world AI training solutions.

Location: Kansas City, MO (remote).

Responsibilities

Design and solve a variety of coding challenges used for AI training.
Produce clean, well documented code snippets accompanied by thorough explanations.
Evaluate AI generated code for correctness, performance, and readability.
Provide feedback that informs the next generation of AI models.

Requirements

Fluency in English (native or bilingual level).
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
Bachelor's degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and working hours, using your own computer from home.
Competitive pay: hourly compensation up to 100 USD per hour, with potential higher bonus rates on select projects.
Impact: contribute to shaping the future of AI technologies.

Note

Payment is made via PayPal. We will never ask for money from you. PayPal will handle currency conversions from USD. This job is only available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

View full job page →

16d ago

Senior Software Engineer

Great River Technology Albuquerque, NM

Albuquerque, NM

16d ago

$125k+/yr Full time Senior Embedded Systems Engineering

Apply Now

Job Description

Great River Technology, a wholly owned subsidiary of Data Device Corporation, designs high reliability connectivity, power, and control solutions for the aerospace, defense, and space sectors. This onsite Senior Software Engineer role in Albuquerque, NM offers a competitive compensation of USD 125,000 per year, a comprehensive benefits package, relocation assistance, and clear opportunities for professional growth in a regulated environment. You will architect, develop, verify, and maintain Windows and Linux software for advanced hardware systems, collaborate across the full software development lifecycle, and mentor junior engineers while working with multiple teams.

Benefits

401(k)
AD&D insurance
Bereavement leave
Dental insurance
Dependent care reimbursement
Disability insurance
Employee assistance program
Family leave
Flexible spending account
Gym membership
Health insurance
Health savings account
Life insurance
Military leave
Paid holidays
Paid jury duty
Paid sick time
Paid time off
Parental leave
Pet insurance
Prescription drug insurance
Professional development assistance
Relocation assistance
Retirement plan
Tuition reimbursement
Vision insurance

Responsibilities

Architecture and development of high performance C/C++ software components, including front end GUI based test applications and API wrapper DLLs for Windows and Linux SDK products.
Hardware/software integration, debugging, and performance optimization; develop and execute test scripts for full verification of deliverables.
Technical leadership through design reviews, complex system-level debugging, and mentoring of junior/mid-level engineers via code reviews and architectural guidance.
Customer support engineering to identify and resolve technical issues with software applications and SDKs.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
7+ years of professional software engineering experience (or 5+ years with an advanced degree).
Deep proficiency in C/C++ and strong scripting skills in Python or Bash for automation and data analysis.
Experience developing software for custom FPGA based hardware.
Familiarity with data buses and communication protocols such as PCIe, USB, ARINC 818, and Ethernet.

Technologies

C/C++
Python
Bash
Microsoft Visual Studio
Microsoft DDK
Qt
OpenCV
MATLAB
LabVIEW
RTOS

View full job page →

16d ago

Software Engineer Analyst - AI Trainer

DataAnnotation Costa Mesa, CA 🇺🇸 Remote

Costa Mesa, CA

16d ago

$50 - $100/hr Contract Python Ai Ml Ai Trainer

Apply Now

Job Description

DataAnnotation is seeking a Software Engineer Analyst to join its AI Trainer initiative in a contract capacity. This fully remote role centers on designing and solving coding problems that train AI systems, crafting clear code samples with explanations, and evaluating AI-generated code to help shape the next generation of AI models. The position is based in Costa Mesa, California, with flexible scheduling available to eligible applicants.

Responsibilities

Design and solve diverse coding challenges used to train AI systems.
Write clear, high‑quality code snippets accompanied by thorough explanations.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide feedback that directly influences the development of future AI models.

Requirements

Fluency in English (native or bilingual level).
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor’s degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and set your own hours, using your own computer from home.
Competitive pay: hourly rates up to $100+ USD, with potential higher bonuses on select projects.
Impact: contribute to shaping the future of AI technologies.

Note

Payment is issued via PayPal. We will never request money from you, and PayPal will handle currency conversions from USD.
This role is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand. Individuals outside these regions will not see work or assessments on our site at this time.