CI/CD

CI/CD Engineer Jobs

94 jobs found

Today

Principal Software Engineer (Cloud Native)

Versant Media New York, NY

New York, NY

Today

$170k - $200k/yr Full time Backend Developer Manager Azure

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Job Description

Versant Media is seeking a Principal Software Engineer to guide cloud-native modernization and platform strategy. This hybrid role in New York supports scalable engineering delivery, stakeholder alignment, and team mentorship while driving pragmatic, iterative execution.

Key Responsibilities

Design and lead modernization efforts for inherited systems, with a focus on speed, scalability, and business value.
Assess and implement SaaS and low-code/no-code platforms to accelerate delivery and reduce custom development.
Partner with business, product, and technology leaders to ensure technical solutions support strategic goals.
Use rapid prototyping, iterative development, and pragmatic decision-making to move work forward.
Inspire and mentor engineers, building a culture of innovation, ownership, and continuous learning.
Drive alignment across engineering, product, and business teams.
Set and communicate the technical vision for the engineering organization, collaborating with engineering leadership on practices, standards, and direction aligned to long-term strategy.
Maintain a high level of customer service and quality, with ownership across engineering outcomes.

Required Qualifications

8+ years of professional software development experience.
Proven experience with cloud-native architecture including AWS, Azure, and GCP, along with serverless and event-driven design.
Strong understanding of SaaS platforms, low-code/no-code, and Gen AI tools.
Demonstrated ability to lead engineering efforts and influence cross-functional teams.
Experience modernizing legacy systems and integrating with modern platforms.
Excellent communication skills with both technical and non-technical audiences.
Track record of delivering secure, scalable, and high-performing systems.

Technology Focus

AWS, Azure, GCP
Serverless, event-driven design
SaaS, low-code/no-code, Gen AI
Kafka, Kinesis
Redis, ElastiCache
SQL, NoSQL
DevOps, CI/CD pipelines
Full-stack development (backend, frontend, Cloud, Infrastructure)

Preferred Qualifications

Experience across full-stack development (backend, frontend, Cloud, Infrastructure).
Familiarity with distributed messaging (Kafka, Kinesis) and caching (Redis, ElastiCache).
Experience with SQL and NoSQL databases.
Understanding of DevOps practices and CI/CD pipelines.
Exposure to startup environments or fast-paced product development cycles.
Experience in media, entertainment, or digital platforms is a plus.

Benefits

Medical, dental, and vision insurance
401(k)
Paid leave
Tuition reimbursement
Various discounts and perks

Why Join Versant Media

Opportunity to be part of a founding team shaping the future of a new tech company.
Work on high-impact projects with visibility to senior leadership.
Culture that values innovation, speed, and purpose-driven engineering.

Location and Work Schedule

This position is designated as hybrid, generally requiring in-office contribution for a minimum of three days per week.

Salary Range and Application Process

Salary: USD 170,000 - 200,000 per year (bonus eligible). Applications are accepted on an ongoing basis.

Additional Information

External candidates may be required to attend an in-person interview with a VERSANT Media employee at one of the company locations prior to a hiring decision.
Versant Media provides equal employment opportunities to applicants and employees without regard to protected characteristics under applicable law.
Qualified individuals with a disability or disabled veterans may request reasonable accommodation during the application and/or recruitment process by emailing candidateaccessibility@versantmedia.com.
Actual compensation is based on factors including skills, qualifications, experience, and location, and may include additional compensation and benefits.
Versant Media is not accepting unsolicited assistance from search firms for this opportunity; no fee will be paid if a candidate is hired through such referrals.

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1d ago

Data Platforms Software Engineer

Liberty Mutual Portsmouth, NH

Portsmouth, NH

1d ago

$83k - $154k/yr Full time Backend Developer Apache Airflow APIs

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Job Description

Liberty Mutual’s Global Digital Services (GDS) organization is seeking a Data Platforms Software Engineer to help build and evolve DataForge, a data factory platform used to support data product development. In this hybrid role based in Portsmouth, NH, you’ll work with cross-functional engineering teams and data product partners to deliver reliable software that improves how customers experience data-driven services.

This position emphasizes agile collaboration and solid software engineering practices, with a focus on building end-to-end solutions that bring meaningful value to users. You’ll address technical challenges, contribute to quality through iterative development, and continuously look for ways to enhance performance, quality, and efficiency.

What you’ll do

Partner with Tech Data Office product stakeholders and CloudForge Engineering teammates to resolve technical challenges tied to data product development, delivering quality through Agile execution.
Work on complex engineering problems using innovative, creative approaches to develop effective solutions.
Keep the end user front and center while building products that deliver meaningful customer value.
Adapt quickly to new technologies and methodologies, proactively recognizing skill gaps and taking steps to address them.
Look beyond issue resolution by identifying opportunities to improve performance, quality, and efficiency.
Build out DataForge to support the Technology Data Office and the broader data products portfolio.

Requirements

Bachelor’s degree in Software Engineering, a technical or business discipline, or equivalent experience.
3+ years of Full Stack Engineering experience.
Experience with React, TypeScript, JavaScript, and Node.js.
Familiarity with cloud platforms, deployments, and services including AWS, S3 buckets, eventing, Cloud Foundry, GitHub, and GitHub actions.
Ability to build and consume RESTful services (APIs).
Experience with CI/CD and DevOps tools.
Experience with Snowflake, DBT (Data build Tool), and/or Airflow (preferred).
Experience working in an agile environment using Scrum (or Kanban / XP).
Strong oral and written communication skills, including the ability to explain engineering decisions to non-engineers.
Collaborative and adaptable approach with initiative and the ability to prioritize effectively.
Thorough understanding of technology concepts, business operations, design and development tools, system architecture, and technical standards.

Technologies you’ll work with

React, TypeScript, JavaScript, Node.js
AWS, S3 buckets, eventing, Cloud Foundry
GitHub, GitHub actions
RESTful services (APIs)
CI/CD, DevOps tools
Snowflake, DBT (Data build Tool), Airflow (preferred)
Scrum, Kanban, XP

Salary range: USD 83,000 to 154,000 per year.

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1d ago

AI Engineer

Fraction Atlanta, GA

Atlanta, GA

1d ago

$75k - $125k/yr Full time Ai Engineer Artificial Intelligence CI/CD

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Job Description

Fraction is building client-facing AI software through the DevHawk Software Factory, and this role focuses on delivering practical solutions with AI coding assistants across the full tech stack. As an AI Engineer, you will help design and build client work using tools like ClaudeCode and Codex, while also supporting internal software improvements that keep the factory moving quickly.

This is a full-time position based in Atlanta, GA with a hybrid schedule (expect 3 days in office).

Responsibilities

Build AI-powered software solutions for clients using tools such as ClaudeCode and Codex to improve productivity across front end, server/serverless tier, database, and cloud
Work with clients to understand requirements and help shape technical solutions
Contribute to internal solution development and enhancements for the DevHawk Software Factory

Requirements

Comfort with working in ambiguity
Proficiency using AI coding assistants including Claude Code or Codex, and the ability to work at the pace of AI
Experience using JSON and SQL for data work
Familiarity with security approaches including OAuth and other SSO methods
Knowledge of GitHub Actions, Terraform, or other modern CI/CD and IaC approaches
Strong organizational skills to manage multiple clients at the same time
Must be authorized to work for any US Employer
Must be based in Atlanta and open to Hybrid with -3 days in office (Atlanta, GA 30326)

Technologies

ClaudeCode, Codex, Claude Code
JSON, SQL
OAuth, SSO
GitHub Actions, Terraform, CI/CD, IaC
Front end, server/serverless tier, database, cloud

Benefits

Health insurance
Paid time off

Compensation

$75,000.00 - $125,000.00 per year

How to Apply

LinkedIn profile

Learn more: https://devhawk.ai

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2d ago

Senior Data Engineer

NIRA Inc. Washington, DC

Washington, DC

2d ago

$170k+/yr Full time Senior Apache Airflow Aws Govcloud

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Job Description

NIRA Inc. is seeking a Senior Data Engineer to support the U.S. Department of Justice Digital Evidence Review Platform program. This onsite role in Washington, DC focuses on building and sustaining high-volume data ingestion and processing pipelines that emphasize integrity, provenance, auditability, access controls, and chain-of-custody information.

The position involves end-to-end pipeline ownership, from design and development through testing, operations, optimization, and troubleshooting across environments. You will help ensure structured and unstructured sources are preserved and processed with the lineage and validation controls required for high-integrity federal use.

Responsibilities

Design, develop, test, operate, and optimize high-volume data ingestion, transformation, integration, and processing pipelines.
Ingest, normalize, enrich, validate, store, search, export, archive, and restore structured and unstructured data.
Process sources including forensic extraction packages, documents, messages, multimedia, call records, geolocation data, cloud-provider returns, metadata, and outputs from Government-furnished parsers and external systems.
Implement validation, hashing, error handling, retry, reconciliation, reprocessing, and data-quality controls.
Preserve source identifiers, processing history, lineage, provenance, and chain-of-custody events.
Support OCR, transcription, translation, deduplication, metadata extraction, entity extraction, and enrichment workflows.
Develop schemas, canonical data models, metadata structures, and open, portable export formats.
Support search, analytics, and AI/ML-enabled processing while maintaining human oversight and auditability.
Automate deployment and testing through CI/CD and configuration-management practices.
Tune pipeline performance and troubleshoot failures across development, test, UAT, production, and disaster-recovery environments.
Maintain technical documentation and collaborate with architects, software engineers, cloud integrators, cybersecurity personnel, and product specialists.

Requirements

Bachelor’s degree in engineering, mathematics, or science.
At least 15 years of relevant experience in data engineering, data integration, data architecture, software engineering, or large-scale data processing.
A master’s degree may substitute for two years of required experience; a PhD may substitute for four years.
Extensive experience designing, developing, and maintaining enterprise data ingestion, transformation, integration, and processing pipelines.
Experience processing structured and unstructured data from multiple sources and formats.
Experience with data modeling, metadata, schema design, data lineage, data quality, error handling, reconciliation, and audit logging.
Experience developing in Python, Java, Scala, SQL, or comparable data-engineering languages.
Experience with cloud-based data platforms, distributed processing, object storage, databases, search platforms, or analytics environments.
Experience supporting CI/CD, automated testing, configuration management, performance tuning, and production troubleshooting.
U.S. citizenship and ability to meet DOJ residency and personnel-security requirements.
Ability to obtain and maintain a High-Risk Public Trust investigation and PIV credential.

Technologies

Python, Java, Scala, SQL
CI/CD, OCR, Spark, Databricks, Kafka, Airflow
AWS GovCloud, Azure Government, FedRAMP-authorized SaaS
LLM/RAG

Preferred Qualifications

Experience with digital evidence, forensic data, eDiscovery, law-enforcement data, case-management data, or other high-integrity federal datasets.
Experience with AWS GovCloud, Azure Government, FedRAMP-authorized SaaS, or hybrid federal cloud environments.
Experience processing PDFs, text, messages, multimedia, call records, geolocation data, forensic extraction files, or large document collections.
Experience with OCR, natural-language processing, entity extraction, transcription, translation, deduplication, AI/ML enrichment, or LLM/RAG pipelines.
Experience with Python-based data frameworks, Spark, Databricks, Kafka, Airflow, cloud-native data services, or comparable technologies.
Experience implementing hashing, immutable audit records, provenance, lineage, retention, archival, and data-restoration controls.
Experience designing open-format exports, APIs, canonical schemas, or data-exchange interfaces that reduce vendor lock-in.

Location: Washington, DC (onsite)

Salary: USD 170,000 per year

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3d ago

Senior Software Engineer-AI

H&R Block St. Louis, MO 🇺🇸 Remote

St. Louis, MO

3d ago

$101k - $162k/yr Full time Backend Developer Agile Methodologies APIs

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Job Description

The H&R Block AI Platforms Team is hiring an experienced Senior Software Engineer to design, develop, and deploy AI platform services and GenAI capabilities. The role focuses on end-to-end engineering work, including technical specifications, scalable feature delivery, testing, and participation in technical design and code reviews.

Location

Missouri (remote)

Compensation

USD 101,200 - 161,900 per year

Experience and Education

Minimum experience: 5+ years
Education: Bachelor’s degree in a related field
Equivalent education: acceptable through a combination of education and related work experience

Key Responsibilities

Translate business and functional requirements into technical specifications and platform requirements
Use appropriate tools, languages, coding standards, and best practices to develop new product features and continuously enhance existing functionality
Create and execute unit tests and address defects identified through testing and validation
Collaborate with team members to maintain a consistent understanding of requirements and the chosen approach
Deliver features that improve scalability, usability, resiliency, and performance
Support technical design and participate in code reviews for new enhancements and ongoing maintenance work

Required Qualifications

Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience
5+ years of experience building software products and solutions
3-5 years of hands-on experience with .NET, REST APIs, Cosmos/SQL server, and Azure
Experience working in agile methodologies including SCRUM and/or Kanban
Experience with Azure DevOps, including source control management systems and continuous integration/deployment environments
Experience developing engineering solutions that meet functional and non-functional requirements
Strong communication skills and problem-solving skills

Preferred Qualifications

1+ year of experience building AI products and solutions
Experience with Azure SignalR service and Azure AI Services

Technologies

.NET
REST APIs
Cosmos/SQL server
Azure
Azure DevOps
SCRUM
Kanban

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3d ago

Software Engineer

Capgemini Chicago, IL

Chicago, IL

3d ago

$54k - $122k/yr Full time Backend Developer Akka APIs

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Job Description

Capgemini offers a hybrid Software Engineer opportunity with a focus on building and improving scalable solutions across the full stack. The role brings together teams working on backend and frontend development, including microservices, APIs, data pipelines, and cloud deployments, with an emphasis on performance, reliability, scalability, and security. This position is based in New Jersey, Atlanta, Chicago, and Dallas.

Compensation: USD 53,580 - 122,400 per year.

What you’ll do

Design, develop, and maintain scalable backend services using Scala and related technologies.
Build and optimize data pipelines and real-time processing systems.
Develop and consume APIs that support distributed, microservices-based architectures.
Create and enhance modern frontend applications that support seamless user experiences.
Collaborate with cross-functional teams to design and implement end-to-end solutions.
Deploy and manage applications in cloud environments.
Help ensure application performance, reliability, scalability, and security.
Contribute to high-performance applications supporting e-commerce, analytics, and data-intensive workloads.

Skills and experience

Strong proficiency in Scala and functional programming concepts.
Experience with Scala frameworks such as Akka, Play Framework, and Spark.
Solid understanding of the Java ecosystem and Java-Scala interoperability.
Hands-on experience designing and developing microservices and RESTful APIs.
Familiarity with cloud platforms: AWS, Azure, or Google Cloud Platform.
Experience working in big data, stream processing, and real-time data environments.
Proven experience in the e-commerce domain.
Strong expertise in modern frontend development using React, Angular, or Vue.js.
Experience building responsive, high-performance, customer-facing web applications.
Knowledge of CI/CD pipelines, containerization, and modern software development practices.
Experience in high-transaction-volume environments such as e-commerce, fintech, or analytics.
Strong understanding of distributed systems and event-driven architectures.
Familiarity with Kafka, Spark Streaming, Akka Streams, or similar real-time processing frameworks.

Benefits

Paid time off based on employee grade (A-F), per policy: Vacation: 12-25 days (depending on grade), Company paid holidays, Personal Days, Sick Leave.
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada).
Life and disability insurance.
Employee assistance programs.
Other benefits as provided by local policy and eligibility.

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3d ago

IT Analyst, AI Engineer

Patrick Industries, Inc Elkhart, IN

Elkhart, IN

3d ago

Full time AI Ai Engineering Ai Ml

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Job Description

Patrick Industries, Inc is hiring an IT Analyst, AI Engineer to design, build, test, deploy, and support AI-enabled applications and integrations at our onsite location in Elkhart, IN.

Responsibilities

Design, develop, test, and deploy AI-enabled applications, agents, and automation solutions
Build production-ready software components for enterprise AI initiatives
Implement AI workflows including agent orchestration, prompt engineering, and retrieval-augmented generation
Translate business and technical requirements into scalable software solutions
Create reusable components and integration patterns to accelerate future AI delivery
Develop and maintain technical documentation for solutions, integrations, and development standards
Build integrations between AI platforms and enterprise systems, including ERP, business applications, and operational technologies
Develop APIs, services, and integration layers to enable secure, reliable information exchange
Support connectivity between AI solutions, data platforms, and business applications
Troubleshoot integration issues affecting delivery, performance, and production stability
Ensure integrations align with enterprise architecture and security standards
Partner with business and technical teams for end-to-end solution delivery
Develop data pipelines and supporting infrastructure required for AI applications and workflows
Collaborate with Data Engineering to ensure data quality, availability, and readiness
Support ingestion, transformation, and preparation of data for AI and analytics use cases
Design solutions to optimize data accuracy, performance, and scalability
Assist with implementation of enterprise AI and data platform standards
Support AI model utilization using reliable data architecture and engineering practices
Develop and maintain test cases, evaluation criteria, and regression testing processes for AI solutions
Validate AI outputs and ensure solution quality meets business and technical requirements
Implement monitoring and observability for AI applications, workflows, and integrations
Monitor latency, performance, reliability, and output quality in production
Support issue resolution, defect remediation, and ongoing production support activities
Continuously improve solution stability and operational performance
Apply DevOps best practices including CI/CD, source control, automated testing, and release management
Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
Collaborate with cross-functional teams to execute prioritized work
Provide effort estimates, status updates, and risk identification for assigned initiatives
Support deployment planning, release execution, and production readiness activities
Follow enterprise governance, security, and responsible AI standards throughout development
Contribute to solution architecture discussions and engineering design decisions within assigned projects
Identify and communicate technical trade-offs across cost, scalability, performance, reliability, and maintainability
Evaluate feasibility and support implementation approaches
Escalate architectural concerns and solution risks when appropriate
Recommend improvements to development standards, tools, and engineering practices
Stay current on emerging AI technologies, frameworks, and software engineering techniques
Deliver technology solutions supporting enterprise AI priorities and business transformation
Contribute to automation, intelligent workflow, analytics, and AI-enabled business initiatives
Support capability development across operations, supply chain, manufacturing, finance, and corporate functions
Assist with measurement and monitoring of solution adoption and business impact
Work with Product Managers and business stakeholders to ensure delivered solutions achieve intended outcomes

Requirements

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered
2+ years of software engineering, data engineering, AI engineering, or related experience
Experience designing, building, testing, and supporting software applications and integrations
Experience with AI, machine learning, generative AI, agent-based systems, or intelligent automation solutions
Proficiency with Python, SQL, and JavaScript/TypeScript (or similar languages)
Knowledge of prompt engineering, AI orchestration frameworks, and retrieval-augmented generation concepts
Experience with APIs, system integrations, and enterprise application connectivity
Experience with version control systems, automated testing, and CI/CD practices
Familiarity with Agile methodologies including Scrum and Kanban
Understanding of software architecture, system design, and engineering best practices
Strong analytical, problem-solving, communication, and collaboration skills

Preferred Skills & Plus

Experience with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments
Familiarity with monitoring, observability, and application performance management concepts
Experience integrating AI solutions with enterprise systems and business processes
Exposure to manufacturing, operations, supply chain, or industrial environments
Experience in decentralized, multi-site, or acquisition-driven organizations
Familiarity with MLOps, model deployment, monitoring, and lifecycle management
Exposure to C#, Rust, or KQL