Automation

Automation Developer Jobs

368 jobs found

1d ago

Software Engineer

MCKESSON Irving, TX

Irving, TX

1d ago

$106k - $177k/yr Full time Backend Developer APIs Automation

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Job Description

McKesson is seeking a SOE Service Operations Engineering Cloud Architect to design and deliver cloud platforms supporting customer-critical SaaS offerings.

Responsibilities

Design and implement scalable, secure, and resilient cloud solutions on Microsoft Azure
Lead cloud migration and modernization work for mission-critical SaaS applications
Collaborate with engineering, DevOps, and security teams to improve platform performance, reliability, and operational efficiency
Provide architectural guidance for Java-based applications, containerized workloads, and large-scale database environments
Assess and recommend cloud technologies, automation approaches, and engineering best practices
Participate in customer-facing technical discussions and support resolution of complex issues
Define and promote cloud governance, security, and compliance standards
Help drive adoption of AI-enabled tools and capabilities to improve engineering productivity and innovation

Requirements

Degree or equivalent; typically 4+ years of relevant experience
4+ years designing, building, and implementing software business solutions on cloud platforms
Knowledge of architectural techniques and implementations, including Services Oriented Architecture, loosely coupled design, composite application design, and cloud architecture approaches
Familiarity with non-functional cloud requirements: security, performance, scalability, maintainability (deployment), reliability, and supportability
Experience in a customer-facing technical consultancy environment
Strong verbal and written communication; ability to develop and maintain internal and customer-facing technical and procedural documentation
Familiarity with high-availability concepts and cloud architectural techniques
Understanding of information security and risk management concepts, regulations, and certifications including disaster recovery, PHI, HIPAA, PCI, and related system access control policies and processes
Experience architecting cloud solutions on Azure using technologies such as AKS, Docker, Function Apps, Service Buses, and Storage Accounts
Experience with AI-related tools such as CoPilot to speed application architecture and software design

Technologies

Microsoft Azure, Java
AKS, Docker, Function Apps, Service Buses, Storage Accounts, Kubernetes
CI/CD pipelines
Oracle
Linux/Unix
Splunk, Dynatrace, Azure Monitor
Azure certifications, CoPilot

Preferred (not required)

Experience supporting healthcare, pharmacy, or other highly regulated technology environments
Experience leading enterprise cloud migration and modernization initiatives
Familiarity with AI-enabled development, architecture, or operational tools
Azure certifications or other cloud architecture certifications
Experience with large-scale SaaS platforms and complex production environments
Knowledge of Agile delivery methodologies such as Scrum or Kanban
Experience managing large-scale systems or operations projects

Benefits

Medical, Dental, and Vision
Health Spending Accounts
Flexible Spending Accounts
401(k) (U.S.)
Pension (Canada)
Employee Stock Purchase Plan
Mental Health Programs
Flexible Schedules
Paid Time Off
Wellness Program
Education Reimbursement
Volunteer Opportunities
Flexible Work Environment

Location & Compensation

Irving, TX (onsite)
USD 106,100 - 176,800 per year

Technical skills

Experience designing and supporting cloud solutions in Microsoft Azure, including AKS, Function Apps, Service Bus, and related platform services
Strong background with Java applications and enterprise architecture principles
Experience with Oracle and large-scale database-driven applications
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation
Knowledge of Linux/Unix administration, scripting, and cloud operations
Experience with monitoring and observability tools such as Splunk, Dynatrace, or Azure Monitor
Understanding of security, identity management, disaster recovery, and high-availability design
Ability to communicate effectively with technical and non-technical audiences, including customers

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1d ago

AI-Powered Back End Developer

Deloitte Baltimore, MD

Baltimore, MD

1d ago

$113k - $208k/yr Full time Backend Developer API APIs

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Job Description

Deloitte’s Cyber team is seeking an AI-Powered Back End Developer to help design and build core backend components for Cyber AI solutions. In this onsite role in Baltimore, MD, you will focus on secure REST and GraphQL APIs, cloud-connected deployments, and ongoing improvements to the frameworks that support central cyber control and active cyber defense.

Role Focus

Design, build, and maintain core portfolio components that power Cyber AI solutions
Create and support secure, scalable REST and GraphQL APIs for integration across platforms
Contribute to the development and evolution of Central Cyber Control and Active Cyber Defense frameworks
Integrate software components with cloud infrastructure and security tools to enable reliable, secure deployments
Stay current with new technologies, evaluating and applying best practices to improve innovation and efficiency

Collaboration and Delivery

Write clean, well-documented code and participate in code reviews to uphold quality standards
Work closely with cloud administrators, automation experts, and security engineers to design, deliver, and maintain advanced solutions

Required Qualifications

Bachelor’s degree required
Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future
Active Top-Secret Clearance
Local to the DMV area and willing to work onsite up to five days a week
Ability to travel 25% on average, based on work and client needs
3+ years back-end development including:
- Back-end development using Node.js and Python (Django, Flask)
- Containerized microservices deployed on Google Cloud Run
2+ years AI Architecture experience with one of:
- Modular integration with generative AI models (OpenAI, Google Vertex AI, Hugging Face), or
- Understanding of AI/ML concepts and frameworks, including TensorFlow and PyTorch
3+ years cloud experience, including experience with AWS, Azure, and GCP
3+ years JavaScript
3+ years Python

Technologies

Python, Java, Go
REST, GraphQL
Google Cloud (BigQuery), Terraform, CloudFormation, Ansible, Kubernetes
Jenkins, GitLab CI, Cloud Build, Git, JUnit, PyTest
Agile, DevOps culture
Node.js, Django, Flask, Google Cloud Run, JavaScript
OpenAI, Google Vertex AI, Hugging Face, TensorFlow, PyTorch
AWS, Azure, GCP

Compensation

Salary range: USD 113,300 - 207,800 per year
Eligible candidates may participate in a discretionary annual incentive program, subject to program rules and factors including individual and organizational performance

Preferred

CompTIA Security+ Certification

For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of compensation. A reasonable estimate of the current range is $113,300 to $207,800.

If you need an accommodation, you can review the available information here: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html.

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1d ago

Machine Learning Engineer

John Hancock Life Insurance Company (U.S.A.) Boston, MA

Boston, MA

1d ago

$90k - $167k/yr Full time Backend Developer APIs Artificial Intelligence

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Job Description

Build and run production machine learning and data systems in a hybrid Boston role.

Responsibilities

Develop, build, and maintain scalable data pipelines for underwriting, analytics, and machine learning systems
Create and deploy backend services and microservices for data ingestion, retrieval, and ML inference workflows
Deploy, monitor, and maintain machine learning pipelines and backend services in production environments
Perform root-cause analysis for data, model, and pipeline issues, and implement corrective solutions
Partner with data scientists, underwriters, and engineering teams to turn business requirements into technical solutions
Support production releases and large-scale batch processing for underwriting workflows

Requirements

Master’s degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field
3 years of Python programming experience for backend systems, automation, or machine learning workloads
3 years of experience with SQL or NoSQL databases, including PostgreSQL or MongoDB, for data modeling, querying, or pipeline integration
3 years of experience developing or deploying machine learning models using PyTorch or TensorFlow
3 years of experience building or maintaining backend APIs or microservices using FastAPI or Flask
2 years of experience deploying ML workflows or backend services using AWS or Azure
2 years of experience using containerization and orchestration tools including Docker and Kubernetes
2 years of experience using GitHub Actions or TeamCity for Continuous Integration and Continuous Deployment (CI/CD)
2 years of experience designing distributed or scalable systems, including microservices, load balancing, or distributed processing

Technology Stack

Python
SQL, NoSQL
PostgreSQL, MongoDB
PyTorch, TensorFlow
FastAPI, Flask
AWS, Azure
Docker, Kubernetes
GitHub Actions, TeamCity

Work Arrangement

Hybrid (Boston, MA): 3 days in office, 2 days at home

Compensation

Salary range: USD 90,160 - 167,440 per year
Listed salary: $162,198 per year

Benefits

Incentive programs with incentive compensation tied to business and individual performance (eligible employees)
Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
Retirement savings plans including pension/401(k) savings plans and a global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid time off program (U.S.): up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, plus statutory leaves of absence

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1d ago

Power Platforms Software Engineer

Deloitte San Diego, CA

San Diego, CA

1d ago

$89k - $148k/yr Full time Automation Business Analytics Business Intelligence

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Job Description

Deloitte’s Engineering as a Service team is seeking a Project Software Engineer II to design, configure, develop, test, and deploy Microsoft Power Platform solutions for clients. In this role, you will convert requirements into sprint-based delivery, improve existing implementations, and help support testing, release, maintenance, and sustainment activities.

Working from San Diego, CA (onsite), you will contribute to Deloitte’s Government & Public Services (GPS) practice, supporting federal, state, and local government clients and public higher education institutions through an engineering-led delivery model.

What You’ll Do

Design, configure, develop, test, and deploy Microsoft Power Platform solutions, including Power Apps, Power Automate, Power BI, and SharePoint Online, with a focus on modernizing manual processes and improving operational efficiency.
Translate business requirements into prioritized Agile backlog items and deliver capabilities incrementally across sprint cycles.
Create implementation plans that include timelines, milestones, and level-of-effort estimates, and enhance existing solutions as client needs evolve.
Perform functional, performance, and end-user testing, validating data quality and transfer accuracy, and support release, transition, and handoff to government-designated solution owners.
Develop user guidance and standard operating procedures, troubleshoot production issues, implement bug fixes and minor enhancements, and support ongoing maintenance and sustainment.

Required Qualifications

Bachelor’s degree
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
1+ year(s) of hands-on development experience in Power Apps
Experience developing solutions using Microsoft Power Automate, Power BI, or SharePoint Online
Active Secret security clearance required

Preferred Qualifications

PL-100, PL-900, or PL-600 certification
Experience working in an Agile delivery model
Experience supporting government clients

Team Context

Deloitte’s Government & Public Services (GPS) practice focuses on impact through people, ideas, technology, and outcomes.
Engineering as a Service provides end-to-end design, implementation, and technology operations, grounded in Deloitte’s engineering expertise.
Delivery models can include traditional teams, pools, or pods, aligned to client needs and supporting Advise, Implement, and Operate capabilities.

Additional Skills for Success

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

Salary: USD 88,600 - 147,600 per year. Experience: 1+ year(s). Education: Bachelor’s degree.

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the current pay range: $88,600 to $147,600. You may also be eligible to participate in a discretionary annual incentive program, subject to applicable rules.

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2d ago

Lead Software Engineer

Deloitte Tampa, FL

Tampa, FL

2d ago

Full time Backend Developer Manager API

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Job Description

The Lead Software Engineer II role on Deloitte’s Government & Public Services AI & Data team focuses on driving secure, full stack AI-enabled web application delivery for mission-focused client engagements. The position combines solution architecture, prototype creation, and production transition, with hands-on leadership across concurrent workstreams.

What You’ll Do

Lead application development for a team of approximately 10 developers, engineers, and data scientists supporting mission-focused client work.
Gather requirements, architect solutions, build prototypes, and support transition of full stack applications into production environments.
Develop and oversee web applications using ReactJS, Python, NoSQL, Vector, and graph database technologies.
Coordinate with program leadership, clients, and other vendors to advise on technical approaches and deliver solutions across multiple concurrent projects.
Supervise junior team members and support delivery for AI-enabled applications deployed in secure client environments.

Technologies and Engineering Focus

Work includes building and integrating modern application capabilities and services, including:

Frontend and backend: ReactJS, Python
Data and AI systems: NoSQL, Vector, graph database technologies
APIs: REST, API versioning, API design, API validation, pagination, error handling
Security and identity: OAuth 2.0/2.1, OpenID Connect, MFA, JWT
Cloud and operations: AWS, GCP, CI/CD, release engineering
Infrastructure: Docker, Kubernetes

Team and Mission

Deloitte’s Government & Public Services (GPS) practice brings people, ideas, technology, and outcomes for impact.
The GPS practice serves federal, state, and local government clients, as well as public higher education institutions.
The AI & Data offering provides solutions for designing, developing, and operating Data and AI platforms, products, insights, and services.
Engagements help clients innovate and scale their data, AI, and analytics capabilities.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Experience: 7+ years of software development experience using ReactJS, Python, NoSQL, Vector or Graph Databases, Docker and Kubernetes.
APIs: Experience with API design (REST, API versioning, validation, pagination, error handling, etc.).
Leadership: Experience leading application development teams.
Work authorization: Legally authorized to work in the United States without employer sponsorship, now or in the future.
Security: Active TS/SCI security clearance required.
Location: Ability to work 100% onsite in Tampa, FL.
Travel: Ability to travel up to 10%, on average, based on the work and clients/industries served.
Collaboration and performance: Ability to work independently and collaborate as part of a team; effective written and verbal communication skills; meticulous attention to detail and quality; ability to meet deadlines; ability to mentor and provide clear guidance; ability to build and sustain professional relationships; strong interpersonal skills and professional demeanor.
Execution: Ability to lead projects or workstreams and manage/prioritize multiple tasks in a fast-paced environment.

Preferred Qualifications

Experience supporting government clients in secure delivery environments.
Experience developing generative artificial intelligence-enabled applications.
Working knowledge of at least one major cloud platform (AWS, GCP).
Knowledge of Application Security, including OAuth 2.0/2.1, OpenID Connect, MFA, secure session handling, and JWT risks.
Experience with CI/CD and release engineering.
Experience translating requirements into prototypes and production-ready solutions.
Experience collaborating with data scientists and cross-functional technical teams.
Experience leading multiple concurrent technical projects.

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2d ago

AI-Powered Back End Developer

Deloitte Rosslyn, VA

Rosslyn, VA

2d ago

$113k - $208k/yr Full time Backend Developer AI API

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Job Description

Deloitte Cyber is looking for an AI-Powered Back End Developer to design, build, and maintain backend components and secure APIs that support Cyber AI solutions. The role is based in Rosslyn, VA and works onsite to help deliver secure integrations across cloud and security environments.

Key Responsibilities

Design, build, and maintain core portfolio components that support Deloitte Cyber AI solutions.
Create and support secure, scalable REST and GraphQL APIs for integration across platforms.
Develop clean, well-documented code and participate in code reviews to uphold quality standards.
Integrate software components with cloud infrastructure and security tooling to enable reliable, secure deployments.
Contribute to the development and evolution of the Central Cyber Control and Active Cyber Defense frameworks.
Collaborate with cloud administrators, automation experts, and security engineers to design, deliver, and maintain advanced solutions.
Continuously evaluate new technologies and apply best practices to improve innovation and operational efficiency.

Required Qualifications

Bachelor's degree required.
Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.
Active Top-Secret Clearance.
Local to the DMV area and willing to work onsite up to five days per week.
Ability to travel 25% on average based on work and client/industry needs.
3+ years of back-end development including back-end development with Node.js and Python (including Django and Flask), plus containerized microservices deployed on Google Cloud Run.
2+ years of AI Architecture experience with modular integration of generative AI models (OpenAI, Google Vertex AI, Hugging Face).
2+ years of AI Architecture experience with AI/ML concepts and frameworks, notably TensorFlow and PyTorch.
3+ years of cloud experience, including AWS, Azure, and/or GCP.
3+ years of experience with JavaScript.
3+ years of experience with Python.

Technologies and Tools

Programming/Frameworks: Python, Java, Go, Node.js, Django, Flask
APIs: REST, GraphQL
Cloud and Data: Google Cloud (BigQuery), Google Cloud Run
Infrastructure as Code: Terraform, CloudFormation, Ansible
Container and Orchestration: Kubernetes
CI/CD and Build: Jenkins, GitLab CI, Cloud Build, Git
Testing: JUnit, PyTest
AI/LLM Platforms: OpenAI, Google Vertex AI, Hugging Face, TensorFlow, PyTorch
Security/Defense Frameworks: Active Cyber Defense, Central Cyber Control

Additional Skills Considered for Success

Ability to work independently and collaborate as part of a team.
Effective written and verbal communication.
Meticulous attention to detail and quality-focused delivery.
Ability to build and sustain professional relationships.
Capability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to provide clear guidance to others.

Preferred Qualification

CompTIA Security+ Certification.

Location, Work Schedule, and Salary Estimate

Location: Rosslyn, VA (onsite). Work location requirement: onsite up to five days per week. Compensation: USD 113,300 - 207,800 per year (reasonable estimate for individuals assigned and/or hired to work in Virginia).

Accommodation for Applicants

For applicants with a need for accommodation, Deloitte provides guidance at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html.

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3d ago

Machine Learning Engineer

XPO Boston, MA

Boston, MA

3d ago

$100k - $120k/yr Full time Artificial Intelligence Automation Bigquery

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Job Description

In this hybrid role in Boston, MA, XPO is hiring a Machine Learning Engineer to build and maintain the systems that make ML programs reliable in real production settings. You will focus on data preparation and validation tooling, ML infrastructure for training and deployment, and MLOps capabilities such as CI/CD, monitoring, and feedback loops.

This position supports the full path from experimentation to deployment by partnering with applied and data scientists and coordinating with data engineering to ensure dependable, accessible data pipelines.

What you’ll work on

Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
Design and implement ML infrastructure for model training, evaluation, and deployment
Create and maintain CI/CD pipelines for machine learning models, including automated testing and validation
Implement model monitoring, drift detection, and feedback loops to track performance in production
Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
Collaborate with data engineering teams to ensure reliable, accessible data pipelines
Contribute to shared MLOps tooling and best practices across the AI/ML organization

Minimum qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent related work or military experience)
1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
Proficiency in Python and SQL
Experience with cloud data or ML platforms, such as AWS, GCP, or BigQuery
Strong collaboration skills working with data science/applied science teams and data engineering teams
Master’s degree in Computer Science or related field
3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
Experience building and maintaining CI/CD pipelines for machine learning models
Experience with model serving and inference infrastructure (batch and real-time)
Experience implementing model monitoring, drift detection, and feedback-loop tooling
Experience with containerization and orchestration (Docker, Kubernetes)
Experience partnering with data engineering teams on data pipeline reliability and access

Technologies

Python
SQL
AWS
GCP
BigQuery
Docker
Kubernetes

Compensation and benefits

Annual salary range: $100,000 to $120,000 (actual compensation may vary based on experience and skill set)
Full health insurance benefits available on day one
Life and disability insurance
Earn up to 15 days of PTO over your first year
9 paid company holidays
401(k) option with company match
Education assistance
Opportunity to participate in a company incentive plan
This is an incentive-based position, which may include bonuses, incentive or commission plans