software engineer

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implementation consultant Jobs in Hyderabad

implementation consultant

product designer

technical architect

Nagarro

<div>
 
 Company Description
 
 
 
 
 👋🏼
 
 
 We're Nagarro
 
 .
 
 
 We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale &mdash; across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
 
 
 
 Job Description
 
 
 
 
 REQUIREMENTS:
 
 
 
 <ul>
 <li>
 Total Experience 11+years.
 </li>
 <li>
 Extensive IT services and product industry experience, specializing in technology-led projects for clients in manufacturing, industrial, engineering, chemicals, food &amp; beverages, consumer goods, agriculture, building materials, and consumer electronics.
 </li>
 <li>
 Expertise in least three of the following technologies: Business Intelligence, Big Data, Data Science, Artificial Intelligence, Mobile Applications, Cloud, UI/UX Design, Enterprise Software (SAP/Infor/MS Dynamics), MES, Salesforce, Digital Commerce.
 </li>
 <li>
 Strong consultative approach with the ability to understand the big picture and recommend optimal solutions.
 </li>
 <li>
 Proven experience in customer workshops, proposal management, and RFI/RFQ responses.
 </li>
 <li>
 Advanced skills in MS PowerPoint, Word, and Excel with excellent written and verbal English.
 </li>
 <li>
 Demonstrated ability to work in multi-stakeholder, global environments with strong conflict-resolution skills.
 </li>
 <li>
 Understanding of SDLC, project management methods, and resource planning.
 </li>
 <li>
 Experience in creating marketing materials and campaign strategies.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Understanding the client&rsquo;s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
 </li>
 <li>
 Mapping decisions with requirements and be able to translate the same to developers.
 </li>
 <li>
 Identifying different solutions and being able to narrow down the best option that meets the client&rsquo;s requirements.
 </li>
 <li>
 Defining guidelines and benchmarks for NFR considerations during project implementation
 </li>
 <li>
 Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
 </li>
 <li>
 Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
 </li>
 <li>
 Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
 </li>
 <li>
 Understanding and relating technology integration scenarios and applying these learnings in projects
 </li>
 <li>
 Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
 </li>
 <li>
 Carrying out POCs to make sure that suggested design/technologies meet the requirements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.
</div>

Associate Principal Consultant, Support Preasales

ValueMomentum

<div>
 
 Job Title:
 
 AI/ML Lead
 
 
 
 Job ID:
 
 POS-16044
 
 
 
 Primary Skill:
 
 AWS Services
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 9.00
 
 
 
 Secondary Skills:
 
 GenAI, Langchain,LLMs, and RAG
 
 
 
 Job Location:
 
 Hyderabad
 
 
 
 Mode of Work:
 
 Work From Office
 
 
 
 Experience
 
 
 :
 
 7-12 Years
 
 
 
 About The Job
 
 
 
 We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).
 
 
 
 Know Your Team
 
 
 
 At ValueMomentum&rsquo;s Technology Solution Centers, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas:
 
 Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance
 
 .
 
 
 Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and development of an Agentic AI platform
 </li>
 <li>
 Architect and implement core systems for agent-based AI workflows
 </li>
 <li>
 Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems,
 </li>
 <li>
 Develop and optimise ML models, pipelines, and orchestration logic
 </li>
 <li>
 Ensure the integration and compatibility of network, IDAM (Identity and Access Management), Active Directory, key vaults, and other security-related components within the self-service platform.
 </li>
 <li>
 Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.
 </li>
 <li>
 Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.
 </li>
 <li>
 Stay abreast of industry trends, best practices, and regulatory requirements related to cloud computing, DevOps, network, security, and platform modernisation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).
 </li>
 <li>
 Programming Languages: Proficiency in Python is essential.
 </li>
 <li>
 Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
 </li>
 <li>
 Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
 </li>
 <li>
 Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS
 </li>
 <li>
 Data Engineering: Proficiency in data preprocessing and feature engineering
 </li>
 <li>
 Version Control: Experience with GitHub for version control
 </li>
 <li>
 Data Science Practices: Skills in building models, testing/validation, and deployment
 </li>
 <li>
 Collaboration: Experience working in an Agile framework
 </li>
 <li>
 RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
 </li>
 <li>
 Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.
 </li>
 <li>
 Knowledge in infrastructure as code (IaC) tools such as Terraform,.
 </li>
 <li>
 Understanding of cloud security best practices, compliance standards, and governance frameworks.
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
 </li>
 <li>
 Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.
 </li>
 <li>
 Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network and security-related components.
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.
 
 
 
 Benefits
 
 
 
 We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
 
 
 <ul>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
 </li>
 <li>
 Comprehensive training and certification programs.
 </li>
 <li>
 Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.
 </li>
 </ul>
</div>

AI/ML Lead

PepsiCo

<div>
 
 
 Overview
 
 
 
 PepsiCo is seeking a strategic and visionary Generative AI Solutions leader to lead transformative AI initiatives across Consumer, Commercial, and Reporting functions. This role will focus on designing scalable AI-driven business solutions, driving global change management, and aligning AI initiatives to enterprise goals. The ideal candidate brings deep domain experience, cross-functional leadership, and the ability to translate AI capabilities into measurable business outcomes&mdash;without managing the underlying AI platforms.
 
 
 
 Responsibilities
 
 
 
 
 AI Transformation Strategy &amp; Road mapping
 
 
 
 Lead the definition and execution of enterprise-wide strategies for Consumer AI, Commercial AI, and Reporting AI use cases.
 
 
 Identify, prioritize, and solution complex AI-powered business opportunities aligned with PepsiCo's digital agenda.
 
 
 Translate market trends, AI capabilities, and business needs into an actionable Generative AI roadmap.
 
 
 
 Solution Design &amp; Cross-Functional Orchestration
 
 
 
 Drive cross-functional solutioning using Gen-AI and Agentic AI capabilities and platforms of PepsiCo.
 
 
 Collaborate with business, data, and engineering teams to craft impactful AI agent-based solutions for Commercial and consumer facing functions including Marketing &amp; R&amp;D.
 
 
 Architect and design future AI solutions leveraging agentic frameworks.
 
 
 Collaborate with engineering teams to provide the necessary features for building.
 
 
 Work closely with Enterprise Architecture and Cloud Architecture teams to build scalable architecture.
 
 
 
 Leadership, Influence, and Governance
 
 
 
 Act as the face of Generative AI solutioning for senior executives and transformation leaders.
 
 
 Drive alignment across global and regional teams for solution design, prioritization, and scale-up.
 
 
 Provide technical leadership and mentorship to the AI engineering team.
 
 
 Stay up to date with the latest advancements in AI and related technologies.
 
 
 Drive innovation and continuous improvement in AI platform development.
 
 
 Ensure solutions meet enterprise standards for Responsible AI, data privacy, and business continuity.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 15+ years of experience in enterprise AI, digital transformation, or solution architecture, with a track record of leading AI-powered business programs.
 </li>
 <li>
 Strong understanding of Consumer/Commercial business functions and how to apply AI to transform them (sales, marketing, supply chain, insights, reporting).
 </li>
 <li>
 Demonstrated experience designing Gen-AI or multi-agent solutions, using orchestration frameworks like LangGraph, CrewAI, AutoGen, or Temporal.
 </li>
 <li>
 Deep capability in AI-powered reporting, scenario modeling, insight generation, and intelligent automation.
 </li>
 <li>
 Proven success in change management, stakeholder engagement, and global rollout of strategic programs.
 </li>
 <li>
 Excellent communication and influences
 </li>
 </ul>
</div>

Associate Director, Generative AI

Xemplar Insights

<div>
 
 
 
 Must Have Skills:
 
 
 
 <ol>
 <li>
 Machine learning techniques: regression, classification, clustering, deep learning
 </li>
 <li>
 Programming languages: Python, R
 </li>
 <li>
 Machine learning libraries: TensorFlow, scikit-learn, PyTorch
 </li>
 <li>
 Data wrangling, feature engineering
 </li>
 <li>
 Model validation and testing
 </li>
 <li>
 Cloud platforms, distributed computing, big data technologies
 </li>
 </ol>
 
 
 
 
 
 
 Nice to Have Skills:
 
 
 
 <ol>
 <li>
 Knowledge of P&amp;C Insurance domain
 </li>
 <li>
 Experience working with US-based customers
 </li>
 <li>
 Experience in leading teams or projects
 </li>
 <li>
 Experience with high-performance computing
 </li>
 <li>
 GenAi Skills, Experience with LLMs.
 </li>
 </ol>
 
 
 
 
 
 
 Job Responsibilities of this position:
 
 
 
 
 1. Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.
 
 
 2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.
 
 
 3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.
 
 
 4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplar&rsquo;s product ecosystem, optimizing performance and efficiency across multiple teams.
 
 
 5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.
 
 
 6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.
 
 
 7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.
 
 
 8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.
 
 
 
 
 
 Required Relevant Experience:
 
 <ol>
 <li>
 5+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.
 </li>
 <li>
 Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.
 </li>
 <li>
 Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).
 </li>
 <li>
 Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.
 </li>
 <li>
 Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.
 </li>
 <li>
 Deep understanding of the P&amp;C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.
 </li>
 <li>
 Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.
 </li>
 <li>
 Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.
 </li>
 <li>
 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.
 </li>
 </ol>
 
 
 
 
 
 
 
 
 Years of experience required:
 
 3 to 5+ years
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Mode of work:
 
 Work of Office (All 5 days a week Work from office)
 
 
 
</div>

Data Scientist

Amazon

<div>
 
 Description
 
 
 
 Do you want to revolutionize how millions of Amazonians worldwide receive HR support? Are you passionate about building intelligent, AI-powered solutions that transform employee experiences? Do you want to work on a platform that combines AWS services with generative AI to deliver personalized, efficient HR support at Amazon scale? If so, we invite you to join the Employee Services Technology team within Amazon's People eXperience &amp; Technology (PXT) organization.
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Lead the architectural design and development of critical platform features, ensuring solutions are highly scalable, maintainable, and align with AWS best practices
 </li>
 <li>
 Drive technical excellence through mentorship of junior engineers and establishment of coding standards, design patterns, and engineering best practices
 </li>
 <li>
 Architect and implement AI powered solutions leveraging AWS services to enable predictive support capabilities and automated workflow orchestration
 </li>
 <li>
 Design and build robust integration patterns between multiple HR systems while ensuring data security and compliance
 </li>
 <li>
 Partner with product and business stakeholders to translate complex requirements into elegant technical solutions
 </li>
 <li>
 Lead cross-team technical initiatives and drive consensus on architectural decisions
 </li>
 <li>
 Champion operational excellence through monitoring, alerting, and continuous improvement of system reliability
 
 
 </li>
 </ul>
 Our mission is to transform how HR support works at Amazon by:
 
 
 <ul>
 <li>
 Delivering swift, accurate, and personalized support through an AI-enhanced unified platform
 </li>
 <li>
 Building intelligent systems that anticipate employee needs and proactively surface solutions
 </li>
 <li>
 Creating seamless experiences that connect service teams across Amazon's HR support ecosystem
 </li>
 <li>
 Developing scalable solutions that optimize workforce management and operational efficiency
 
 
 </li>
 </ul>
 Key job responsibilities
 
 
 Key job responsibilities
 
 
 You will also partner with SDE-IIIs and Principal Engineers in the organization to drive execution of our 3-year architecture plans (3YAP) for the technology as well as drive tradeoff decisions balancing long term vision with delivering immediate impact to our customers. You will be a mentor for SDE-Is in the team, coaching your peers on engineering excellence and leadership principles and partner with SDMs and PMs to deliver team level goals. Lastly, you will also get an opportunity to be mentored by other Sr. engineers in the team and learn from Principal Engineers while working on the goals.
 
 
 A day in the life
 
 
 A day in the life
 
 
 <ul>
 <li>
 Write maintainable, well-structured, and testable code to advance your in-flight project and submit a code review to the team
 </li>
 <li>
 Design a system to solve an Amazon scale problem and present a design document to the team to build consensus on your recommended approach
 </li>
 <li>
 Attend a team-level operations review meeting to understand system health and identify actions we need to take to keep the system available for our clients
 </li>
 <li>
 Meet with a customer to understand the problems they are facing, brainstorm solutions, and discuss with your management to affect team priorities
 </li>
 <li>
 Review a teammate's code change and raise the bar on team code quality by providing insightful comments
 </li>
 <li>
 Research new technologies that could help simplify your team's system and draft a message to the team with your findings
 </li>
 <li>
 Root cause and resolve a trouble ticket filed by a customer of your system
 </li>
 <li>
 Attend a one to one meeting with your manager to receive support on your work and discuss career development
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 We are part of Amazon's People eXperience &amp; Technology (PXT) organization, focused on building and evolving the Unified Service Console (USC) - a transformative platform that revolutionizes how HR support is delivered to Amazonians worldwide. Our team is at the forefront of developing solutions that combine AI-powered employee relationship management with streamlined workflows.
 
 
 Our mission is to empower People Services teams to provide swift, accurate, and personalized support while reducing manual effort and improving operational efficiency. We're currently engaged in exciting initiatives including implementing Gen AI solutions, and building innovative features to enhance the employee support experience.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 Experience programming with at least one software programming language
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 </li>
 <li>
 Bachelor's degree in computer science or equivalent
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 13 SEZ
 
 
 Job ID: A3057172
</div>

Software Development Engineer

MediaMint

<div>
 
 The Onboarding Specialist is a critical role responsible for ensuring the seamless onboarding and successful launch of clients on our SaaS e-commerce platform. This role involves acting as a technical expert, managing a portfolio of projects, and delivering a high-quality onboarding experience within specified time and budget constraints. The successful candidate will work with a range of clients, from mid-market self-service to enterprise-level, setting appropriate expectations, improving processes, and ensuring consistent client satisfaction.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 Platform &amp; Technical Expertise
 
 
 <ul>
 <li>
 Serve as a platform expert and technical subject matter expert during the onboarding phase, addressing client queries related to software, data feeds, APIs, and FTP protocols.
 </li>
 <li>
 Provide actionable feedback to the Product Management team regarding feature improvements and product enhancements.
 </li>
 <li>
 Create additional client-facing resources such as training videos and webinars; contribute to internal cross-training initiatives.
 </li>
 </ul>
 
 
 Client Onboarding
 
 
 <ul>
 <li>
 Set up, configure, and optimize customer accounts to meet individual client needs.
 </li>
 <li>
 Conduct tailored training sessions for client user groups using established onboarding methodologies.
 </li>
 <li>
 Handle configuration and troubleshooting during the onboarding process to ensure smooth implementation.
 </li>
 <li>
 Transition clients seamlessly to the Support team post-implementation.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including Sales, Business Development, Engineering, Product Management, Customer Success Managers (CSMs), and Account Strategy Managers (ASMs) to ensure a smooth onboarding experience and resolve any blockers.
 </li>
 <li>
 Stay actively updated on project statuses to maintain progress and avoid delays.
 </li>
 <li>
 Communicate technical concepts effectively to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Fluency in both written and spoken English; proficiency in additional languages is a plus.
 </li>
 <li>
 Solid understanding and/or hands-on experience with API integrations (REST and SOAP).
 </li>
 <li>
 Familiarity with product data feed formats such as XML, TXT, CSV, and JSON, along with experience working with FTP protocols.
 </li>
 <li>
 Strong working knowledge of Excel and HTML.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience in SaaS onboarding or implementation roles.
 </li>
 <li>
 Proven ability to manage multiple complex projects simultaneously.
 </li>
 <li>
 Strong analytical and problem-solving skills, paired with a proactive and positive attitude.
 </li>
 <li>
 Excellent time management and task prioritization abilities.
 </li>
 <li>
 Strong documentation skills with attention to detail.
 </li>
 <li>
 Experience in developing and delivering software training programs.
 </li>
 <li>
 Exceptional written and verbal communication, as well as presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Prior experience guiding API integrations from a technical or functional standpoint.
 </li>
 <li>
 Exposure to enterprise-level clients and a solid understanding of the e-commerce industry.
 </li>
 <li>
 Familiarity with remote training tools and platforms.
 </li>
 <li>
 Project Management experience or relevant certifications (e.g., PMP, Prince2) would be a strong advantage.
 </li>
 </ul>
 
 If you're interested in this opportunity, please take a moment to fill out our Candidate Information Form to help us get to know you better.
 
</div>

Implementation Consultant

Microsoft

<div>
 Do you want to be part of a cloud platform that powers mission-critical automation for enterprises worldwide? Do you want to help design and build the service that orchestrates millions of secure jobs daily across cloud, hybrid, and on-premises environments, managing everything from datacenter operations to business-critical customer workflows?
 
 
 Do you thrive on solving deeply technical distributed systems challenges while working across full-stack scenarios&mdash;from control plane APIs, service fabric, and hybrid agents, to customer experiences and AI-driven copilots? Do you want the opportunity to influence the roadmap and vision of a core Azure service that underpins some of the most critical workloads across Microsoft and its customers?
 
 
 Azure Automation is a cloud service that enables organizations to simplify, secure, and scale their IT operations. It provides hybrid job orchestration, configuration management, and process automation across Azure, on-premises, and multi-cloud environments.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and build scalable, secure, and resilient components of the Azure Automation service, enabling customers to automate IT and business operations across cloud and hybrid environments.
 </li>
 <li>
 Develop APIs, services, and tooling that orchestrate millions of automation jobs reliably while meeting strict performance and availability SLAs.
 </li>
 <li>
 Collaborate with partner Azure services to deliver seamless integration scenarios for customers.
 </li>
 <li>
 Contribute to hybrid capabilities, including the Hybrid Runbook Worker, ensuring consistent automation across on-premises datacenters and multi-cloud deployments.
 </li>
 <li>
 Leverage AI and intelligent automation to enhance customer experiences and deliver next-generation management solutions.
 </li>
 <li>
 Implement telemetry, monitoring, and diagnostics to ensure observability, proactive issue detection, and continuous service improvement.
 </li>
 <li>
 Work in an agile, customer-focused team, participating in design reviews, code reviews, and driving high-quality engineering practices.
 </li>
 <li>
 Influence the roadmap and vision by contributing technical insights and collaborating across global engineering teams.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Other Requirements
 
 
 
 <ul>
 <li>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
 </li>
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 </ul>
 <li>
 1+ year(s) experience collaborating with peers and partner teams to achieve shared engineering objectives.
 </li>
 <li>
 1+ year(s) experience in coding, debugging, algorithm design, and solving technical problems.
 </li>
 <li>
 1+ year(s) experience working with cloud-scale services and managing server or service infrastructure.
 
 </li>
 </ul>
 #azurecorejobs
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer

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