Dunkin Donuts Codes Jobs in Usa

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• Design and build internal tools and automation-including API linting frameworks, OpenAPI specification validators, code?generation utilities, and workflow automation-to improve consistency, quality, and efficiency across the API lifecycle.
  
• Ensure developer experience is at the center of all software created, building intuitive, reliable, and friction?reducing tools that empower API producers and consumers and simplify their workflows.
  
• Collaborate, coordinate, and align with technical stakeholders such as architecture, platform engineering, security, and API governance teams to ensure tooling meets enterprise needs and integrates seamlessly with broader technical ecosystems.
  
• Apply industry best practices to deliver secure, scalable, and maintainable solutions that align with clients engineering, security, and compliance standards.
  
• Drive development activities from design through delivery, ensuring tools and services are released on time and effectively support both API producers and consumers.
  
• Champion code quality, implementing comprehensive unit testing, functional testing, and automated validation to ensure highly reliable solutions and fast feedback loops.
  
• Demonstrate engineering excellence, consistently applying high?quality engineering practices-including clean code principles, strong testing strategies (unit, integration, functional), CI/CD pipeline integration, versioning discipline, and reliable automated deployment strategies-to ensure tooling is robust, maintainable, and production?ready.
  
• Ensure all software created adheres to strong security principles, including secure coding practices, automated security scanning, vulnerability mitigation, and alignment with enterprise security standards-ensuring tooling is safe by design, safe by default, and safe in production.
  
• Support the tech lead in evaluating and shaping technical decisions, contributing insights and execution capabilities related to tooling, automation, and developer?experience improvements.
  

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• Programming & Scripting: Java | Python | JavaScript | TypeScript, Bash / Shell Scripting
  
• API Design & Management: RESTful APIs, OpenAPI / Swagger (Specification, Validation), API Linting Frameworks, API Governance & Standards Enforcement, API Versioning Strategies
  
• Automation & Tooling: Code Generation Utilities, Workflow Automation Tools, Internal Developer Tooling, CLI Tools
  
• Testing & Quality Engineering: Unit Testing | Integration Testing | Functional Testing, Automated Validation Frameworks, Test Automation Tools, Code Quality & Static Analysis Tools
  
• CI/CD & DevOps: CI/CD Pipelines (GitHub Actions, GitLab CI, Jenkins), Automated Build & Deployment Pipelines, Artifact Repositories, Infrastructure Automation
  
• Cloud & Platforms: Cloud Platforms (AWS / Azure / GCP), Containerization (Docker), Kubernetes (optional / platform-dependent)
  
• Security & Compliance: Secure Coding Practices, Automated Security Scanning (SAST / DAST), Vulnerability Management Tools, Dependency Scanning, Compliance & Enterprise Security Standards
  
• Developer Experience (DX): Developer Tooling & Enablement Platforms, Documentation Automation, API Consumer & Producer Enablement Tools
  
• Collaboration & Version Control: Git | GitHub | GitLab, Agile / Scrum Methodologies, Issue & Work Tracking Tools (Jira, similar)
  

Hi Rameez here from Beaconfire. I hope you're doing well! We’re currently hiring for an exciting MERN/MEAN Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.

About the Company

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for candidates with a strong background in Software Engineering or Computer Science for a Python/Node Developer position.

About the Role

The role involves developing websites and writing scalable, secure, maintainable code while collaborating with team members to achieve project goals.

Responsibilities

• Develop websites using HTML, CSS, Node.js, React.js, and Angular2+, among other tools;
• Write scalable, secure, maintainable code that powers our clients’ platforms;
• Create, deploy, and maintain automated system tests;
• Work with Testers to understand defects opened and resolves them in a timely manner;
• Supports continuous improvement by investigating alternatives and technologies and presenting these for architectural review;
• Collaborate effectively with other team members to accomplish shared user story and sprint goals;
• Invest time in constant professional development to stay up to date with new technological development and programming languages;
• Discover and fix programming bugs;
• Other duties as assigned.

Qualifications

• Proficient understanding of HTML and CSS;
• Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
• Basic knowledge of code versioning (e.g. Git, SVN);
• A passion for coding pixel perfect web pages;
• Good verbal communication and interpersonal skills.

Required Skills

• Proficient understanding of HTML and CSS;
• Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
• A passion for coding pixel perfect web pages;
• Good verbal communication and interpersonal skills.

Preferred Skills

• Bachelor's degree or higher in Computer Science or related fields;
• 0-1 year of practical experience in JavaScript coding;
• Familiarity with at least one JavaScript framework (Angular2+, React.js, Express.js);
• Experience with unit and integration testing of code, with an understanding of JavaScript testing frameworks like Jasmine, Cucumber, Mocha, and Karma;
• Experience providing REST/SOAP APIs for user interface consumption;
• Experience working within an Agile development methodology Scrum.

BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).

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Job Title: Sr. Backend Developer

Location: Kansas City, MO (Hybrid)

Duration: 6 month Contract to Hire

Job Description

• Provides technical expertise to design, develop and maintain software applications and products that support business applications.

• In addition, provides lead role for day-to-day functional tasks in the team, developer support and maintaining the development environment.

• Uses tools, languages, coding standards and best practices to develop new product features and maintain year over year product functionality and enhancements.

• Works closely with the QA, UX and other related teams to ensure consistent understanding of requirements and approach.

• In addition, assists in planning and implementation of a strategic direction for the product.

• Designs, develops and maintains complex software components

• Creates and maintains documentation of design approaches

• Creates and maintains documentation on internal architecture of the system. Leads architectural changes in the system.

• Identifies product design features to support scalability, usability and better performance.

• Assists and drives technical design and code reviews for all new enhancements and maintenance work delivered by the development team.

• Understands complex business and functional requirements and produces technical specifications and product requirements.

• Establishes best practices in coding and development within the team. Ensures consistency of the use of best practices within the team.

• Designs and develops reusable code components. Positively and proactively leads and influences the team.

• Provides advice and guidance to associate, senior and software engineer roles in the effective use of coding principles and best practices. Develops reusable code components.

• Creates, maintains and executes unit test and alpha test plans

• Maintains development environment and creates build.

• Maintains and improves current knowledge on the latest technologies relevant to the role regarding algorithms, language, design methodology, third-party development tools, application platforms, hardware compatibility and operating systems.

• Mentors and coaches other team members on the latest technological advances within the current technology used. Leads by example.

Required Skills:

• Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience.

Technical Stack

Angular 13+

.NET 5+

Azure Services

Azure App Service

Azure Storage

Azure Logi Apps

Azure Containers

Azure Functions

Apply here: (s) Ruru Hoong, Anya Shchetkina, and Jimin Nam (MIT Sloan) are seeking motivated and detail-oriented individuals to work as full-time pre-doctoral researchers. The position involves close collaboration with 1-2 faculty members (depending on research interests) on empirical research projects related to digital technologies, advertising, and AI. You will contribute at all stages of the research process — from data collection and cleaning to analysis and writing. Some structural modelling or applied ML methods development may be involved if of interest.

Active and planned research projects include: 

• The design of information for human-AI collaboration
• The impact of generative AI on worker productivity, task allocation, and organizational design
• The design of AI-driven hiring tools, such as optimizing voice-AI interviews for candidate screening
• Youth, social media, and smartphones
• The effects of AI on education and learning, including adaptive AI tutoring and path dependence in AI product rollout
• AI and wellbeing, including how generative AI tools affect individual and worker wellbeing
• Household and business surveys on electricity in Ghana
• Mechanization and preferences - marketing in 19th Century tea
• Measuring advertising effectiveness with aggregate data
• Experimental design under privacy constraints
• Identifying limits of targeting and personalization effectiveness 

Methods used across these projects include randomized controlled trials, experiments, machine learning, natural language processing, large language models, probabilistic ML, and adaptive learning (bandits and Bayesian optimization).

A core goal of the position is to prepare you to apply to and succeed in PhD programs in marketing, economics, management, operations or related fields. We will work together to develop your research skills — beginning with careful research workflow and attention to detail, and progressing toward more independent analysis over time. We will also collaborate on other elements of your preparation, including independent research, letters of recommendation, and coursework planning. You will be encouraged to attend seminars and engage with the broader research community at MIT Sloan and across MIT.

You do not need to arrive with a polished skill set; the purpose of a predoc is to also help you develop that training. What matters most is a genuine interest in these research questions, a willingness to learn, and the determination to see difficult problems through. 

Principal responsibilities

• Collect, clean, and manage large-scale quantitative and qualitative datasets across active research projects related to marketing, digital economics, and AI
• Conduct empirical analysis using methods such as causal inference, machine learning, NLP, and experimental design
• Contribute to all stages of the research process — from literature review and data collection through analysis and writing
• Design and implement surveys and experiments using tools such as Qualtrics and oTree
• Write, review, and maintain reproducible research code in Python, R, or Stata, including responsible use of AI coding tools
• Other duties as needed

Qualifications

• A Bachelor's degree with strong grades, ideally in a quantitative field
• Comfort with or eagerness to learn programming (Python, R, or Stata) and experimental tools (Qualtrics, oTree)
• Willingness to experiment with AI coding tools (e.g., Claude, Cursor, Copilot) while maintaining a healthy skepticism — you should be prepared to understand and review every line of code these tools generate
• A long-term interest in pursuing a PhD in marketing, economics, management, operations, or a related field.
• A familiarity with causal inference or Bayesian statistics is welcome but not required
• Prior research experience is a plus but not a prerequisite
• Careful attention to detail — the kind of person who double-checks a merge and notices when a number doesn't look right
• Curiosity, initiative, and the persistence to work through open-ended problems
• The ability to work independently
• Visa sponsoring will not be available for this position. Candidates should have authorization to work in the US for the duration of the appointment. 

The position is located at the MIT Sloan School of Management in Cambridge, Massachusetts. The default start date is July 1, 2026, with some flexibility to begin earlier or later. The position typically lasts 1-2 years prior to entering a PhD program. Salary is competitive with other pre-doctoral research positions (50-63k). Applications will be reviewed on a rolling basis.

Application Instructions

If you are interested, please submit the following:

• A one-page cover letter describing your background, research interests, coding experience, and future goals. Please indicate which of the research areas listed above interest you most and why.
• A CV
• A transcript
• A writing sample — a research paper, term paper, or thesis that reflects your analytical abilities
• (optional) A code sample you have written, with a brief summary of what it does and the outputs it produces
• The names and contact information of two references
• Applications will be reviewed on a rolling basis starting early March until the position(s) are filled.

** To comply with regulations by the American with Disabilities Act (ADA), the principal duties in position descriptions must be essential to the job. To identify essential functions, focus on the purpose and the result of the duties rather than the manner in which they are performed. The following definition applies: a job function is essential if removal of that function would fundamentally change the job.

Candidates must be U.S. Citizens or Green Card holders ONLY.

Location: Columbus, OH (must live locally or be willing to relocate)

ComResource is looking for a Senior Full-Stack Engineer to join our high-performing agile development team. In this role, you’ll work across all layers of complex software applications, contributing both as a hands-on developer and a collaborative team member.

As a senior engineer, you will lead key initiatives, help define engineering best practices, and support your peers through complex technical challenges. You’ll be the go-to expert for critical features and components, playing a central role in delivering technology solutions that are safer, more efficient, and more cost-effective.

Key Technologies: Java, Spring Boot, JavaScript/React, REST APIs, Cloud platforms (AWS preferred)

Essential Duties & Responsibilities:

Software Development

• Develop high-quality software features and components that integrate into complex solutions.
• Write code that is well-structured, readable, maintainable, testable, and performant using standard software craftsmanship techniques.
• Participate in sizing decisions and complexity evaluations for initiatives.
• Pair with other engineers and apply clean-code practices to produce high-quality work.

Testing & Quality Assurance

• Create comprehensive testing strategies, including performance, security, regression, and automation testing.
• Develop unit, integration, and automated acceptance tests based on requirements.
• Build automated tests for both positive and negative scenarios.
• Utilize test-driven development (TDD) to guide implementation and coach peers on TDD and testing best practices.

Data Management, Infrastructure & Integrations

• Define data storage and access strategies and make informed design decisions using knowledge of data modeling, storage, and transmission.
• Apply basic ML and data analytics understanding to maximize business value through data transformation.
• Design system integration strategies leveraging cloud and managed services.
• Utilize infrastructure-as-code concepts to design reusable modules, support container orchestration, and assist with data migration.

Operations

• Build highly dependable features and systems using operational best practices such as monitoring, logging, metrics, and system-health visibility.
• Advocate for and contribute to deployment automation and operational excellence.
• Manage build pipelines and write code to collect, monitor, and display key metrics.

Security & Compliance

• Develop software with a security-first mindset using knowledge of security protocols, secure coding techniques, and protection of sensitive information (including PHI).
• Proactively identify and mitigate potential security threats.
• Implement basic security safeguards and leverage threat modeling for system-level security.

Product & User Experience

• Build features with a strong focus on usability and user experience.
• Enhance user-facing applications, create reusable interaction patterns, and support UI/UX best practices.
• Translate design goals into functional, user-facing implementations.
• Address technical and design debt based on priority and impact.

Requirements & Design

• Collaborate with stakeholders to understand business context and communicate technical considerations.
• Write detailed technical stories that translate business needs into clear, actionable specifications.
• Apply architectural guidance to new challenges and make cost-effective feature design decisions.

Required Skills & Experience:

• Minimum of 6 years of professional software engineering experience
• Highly motivated, self-driven, and technically inquisitive, with a strong desire to learn and grow.
• Proficiency in one or more server-side programming languages (Java and Spring Boot preferred).
• Experience with one or more client-side programming languages (JavaScript and React preferred).
• Hands-on experience developing, deploying, and supporting REST services and microservices.
• Familiarity with cloud platforms for storage, compute, and infrastructure as code; experience with Kubernetes and AWS is preferred.
• Knowledge of relational and non-relational databases, along with messaging systems.
• Ability to positively influence team outcomes—mentors peers, contributes to decision-making, and drives innovation.
• Strong collaboration skills with business stakeholders; experience proposing product features to enhance product value is a plus.
• Excellent written and verbal communication skills.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, or a related field; equivalent work experience will also be considered.

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Everyone on our team has earned a CPC (Certified Personnel Consultant) or CTS (Certified Temporary Staffing Specialist) accreditation from the National Association of Personnel Services. We are experts at staffing and recruiting with more than 16 years of experience serving employers.

Our approach to staffing isn't just a little bit different; it's a whole different ball game. While most staffing firms emphasize transactional services (taking and filling job orders), BTI Solutions focuses on providing more strategic solutions.

By acting as workforce consultants, we are able to find innovative and intelligent strategies for improving productivity, meeting project deadlines, improving hiring quality, decreasing turnover, and reducing total labor costs.

Our recruiting and candidate assessment process assures the highest quality matches between job seeker and employer, so you will get people who not only have the right qualifications but who also have the appropriate personality fit for your organization.

More than anything, the biggest difference with BTI Solutions is the one that matters most: bottom-line results.

• 95% client satisfaction rate measures client satisfaction vs. expectations.
• Clients have worked with us for over 10 years, on average.
• BTI Solutions counts 4 Global Telecommunication companies as clients.
• Client referrals are BTI Solutions' largest source of new clients.
• Google Review 4.4, Facebook Review 4.8

Responsibilities:

• Design, develop, and maintain robust, scalable applications and modules, writing clean, efficient, and well-documented code
• Manage the entire software development lifecycle, including planning, prioritizing, testing, and releases, often using Agile methodologies
• Lead, guide, and mentor junior developers, conducting code reviews and ensuring adherence to best practices
• Work closely with project managers, business analysts, designers, and other engineers to define requirements and deliver innovative solutions
• Implement automated testing, debug issues, troubleshoot complex problems, and ensure application security and performance
• Contribute to high-level application design and database architecture
• Participate in internal and external meetings to gather the business requirements and suggest solutions
• Analyze the business requirements and suggest the best practice to apply to the business requirements
• Write clean code to produce fully functional backend processes and frontend UI modules
• Develop a new or existing system of frontend UI and APIs
• Write unit, integration, and production test scenarios
• Troubleshoot and debug to optimize application performance
• Liaise with the development team to identify and plan new features
• Ensure the developed modules comply with Samsung SDS quality assurance standards
• Research and suggest new technologies, applications, and protocols
• Be an individual contributor when it comes to designing and developing frameworks and critical pieces of code that have a wider impact
• Create detailed technical plans for the execution and implementation of projects
• Be available to answer technical questions, clarifications, and clear obstacles for the team
• Being transparent with the team about challenges, failures, and successes
• Writing development progress reports

Requirements:

• 10+ years of application development experience
• Bachelor's degree in computer science, engineering, or a related field
• Extensive knowledge of Java development. This includes the whole process, from the first line of code to implementation in the production environment
• Deep knowledge of operating systems, including but not limited to
• Proficiency with writing automated tests in JUnit, Espresso, Mocha, Jest, Enzyme, XCTest, etc.
• Proficiency in Java, with a good understanding of its ecosystems
• Sound knowledge of Object-Oriented Programming (OOP) Patterns and Concepts
• Familiarity with different design and architectural patterns
• Skill for writing reusable Java libraries
• Know-how of Java concurrency patterns
• Good understanding of the concepts of MVC (Model-View-Controller) Pattern, JDBC (Java Database Connectivity), and RESTful web services
• Experience in working with popular web application frameworks like Play and Spark
• Relevant Knowledge of Java GUI frameworks like Swing, SWT, and AWT according to project requirements
• Extensive knowledge of the class loading mechanism in Java
• Experience in handling external and embedded databases such as Oracle, MS SQL, etc.
• Understanding basic design principles behind a scalable application
• Skilled at creating database schemas that characterize and support business processes
• Basic knowledge of JVM (Java Virtual Machine), its drawbacks, weaknesses, and workarounds
• Implementing automated testing platforms and unit tests
• In-depth knowledge of code versioning tools, for instance, Git
• Expertise in continuous integration
• Experience in Java Server Pages (JSP) and servlets, Web frameworks like Struts and Spring
• Web Technologies like HTML, JavaScript, CSS, JQuery
• Abstract classes and interfaces
• Constructors, lists, maps, sets
• File IO and serialization, Exceptions, and Generics
• Java Keywords like static, volatile, synchronized, transient, etc
• Multithreading and Synchronization
• Experience with profiling and debugging Java-based applications and products
• Experience integrating with backend systems preferred, such as ERPs, WMS, OMS, etc.
• Solid knowledge of performance Improvement best practices
• Experience in a similar role would be advantageous
• Willingness to build professional relationships with staff and clients
• Excellent communication, motivational, and interpersonal skills

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: AWS DevOps Engineer

Location: Charlotte, NC

Salary: Market Rate

Job Description:

Design implement and manage continuous deployment practices infrastructure build deployment and monitoring systems on AWS

Utilize cloud resources to optimize the performance and cost effectiveness of deployed applications

Automate software release processes with continuous delivery pipelines

Implement industry standard DevOps tools for development deployment and operations tasks

Develop and enforce best practices for master and release management

Work closely with the development team to integrate their project changes and ensure the stability of the system

Monitor AWS instances and services for performance and cost optimization

Ensure the security and integrity of the cloud-based applications and data by implementing best cloud security practices

Responsible for incident management and troubleshooting problem diagnosis and resolution

Document every aspect of the system and processes as a reference for future problem resolution and upgrades

Skills

Mandatory Skills : Git, Ansible, Kubernetes, Python, AWS Code Build, AWS Code Commit, AWS Code Deploy, AWS Code Pipeline, AWS EKS,AWS Lambda, Terraform, Docker, Elastic Search

Good to Have Skills : AWS Code Build, AWS Code Pipeline

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.