Job Description

We’re seeking a hands-on Senior Data Architect to design and modernize scalable, AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS, PySpark, and Python, and experience migrating legacy Java-based scripts to Spark frameworks while ensuring data quality, scalability, and performance.

Key Responsibilities

• Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
• Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
• Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
• Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
• Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
• Implement standards for data quality, governance, performance optimization, and security.
• Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.

Skills and Experience

• 15+ years of experience in data engineering or architecture, with strong hands-on development background.
• Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
• Strong understanding of AWS data ecosystem — including Glue, EMR, S3, Redshift, and Lambda.
• Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
• Solid foundation in data lake, data warehouse, and cloud-native architecture design.
• Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
• Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
• Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
• Experience with GIT, Jenkins, & AWS
• Expertise in performance optimization and cost management for cloud environments
• Ability to manage multiple projects and priorities in a fast-paced environment
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional

Why we're hiring:

To help us scale and deliver solutions across our Data Mesh platform, we are looking for a DevOps engineer who can be responsible for the deployment of our data solutions using Azure DevOps. Automation is at the core of our solutions, which spans our development, testing and production infrastructures. A focus on balancing agility, low maintenance and security is critical.

The ideal candidate will have a solid background in DevOps engineering for a large company and be highly experienced with Azure DevOps Pipelines to deploy both IaC and solutions. You’ll be working closely with our Software & Data Engineering teams - from the first lines of code being committed to it being deployed into production.

The DevOps engineer will also help design & plan projects and be involved in project execution decisions.

What you'll be doing:

• Build CI/CD process to increase release efficiency and reduce occurrence of errors.
• Develop software to integrate with internal backend systems
• Perform root cause analysis of deployment errors and provide future mitigation of those errors
• Communicate to both technical and non-technical stakeholders
• Cloud deployment and management
• CI/CD management and deployment
• Performance assessment, monitoring and recommending performance enhancements
• Infrastructure management using IaC
• Continuous testing at different stages of the development lifecycle
• Helping to implement a DevOps culture

What you'll need:

• At least 3 years’ experience as an Azure DevOps engineer
• Azure infrastructure configuration and management with at least AZ-900 certification
• Experience of designing and implementing CI/CD pipelines in Azure DevOps for web services and data products
• Scripting in Python, Bash and Powershell
• Experience with tools including Docker, Kubernetes
• Experience Azure Data Services - Data Factory, Synapse, Azure Databricks
• Experience using ARM and Terraform (Experience using Bicep an advantage)
• Experience Azure DevOps to deploy Azure Cloud Scale Analytics (Not essential)
• Problem-solving attitude
• Collaborative team spirit  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.

Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.

As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

WPP is a creative transformation company, helping clients create growth by combining technology and creativity. As one of the world's largest marketing and advertising services organizations, we are committed to driving innovation and operational excellence across our vast global network.

You will be joining the Automation Operations Centre within WPP's Enterprise Technology, Automation & AI department. This is a pivotal time for us as we're building a dedicated, in-house team to deliver, manage, monitor, and optimize our growing portfolio of automation solutions. This team is at the forefront of our digital transformation, ensuring the seamless operation and continuous improvement of critical automation capabilities across WPP globally

You will play a crucial role in solution delivery and day-to-day technology management of the Global Automation Operations Centre (AOC) program. Reporting to the AAI Operations Director and AAI Product Lead, you will lead the architecture, standards, and advanced development requirements for our global automation portfolio. Alongside AAI Leadership, you will guide a crew of 6-10 developers to ensure the release of high-quality automation products on time and within budget.

The AOC is chartered to develop and delivery automation products, support global automation products or projects delivered by Automation delivery teams from around WPP. Our support apparatus gives those teams confidence and freedom to hand over their existing successes and continue innovating.

Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and a passion for engineering excellence? We are looking for an Automation Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global automation suite is built on a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation.

What you'll be doing:

Automation Engineering Lead (Engineering Excellence + AI-Driven Automation) 

We are looking for an experienced Automation Engineering Lead who combines a complete view across multiple engineering technology streams with a strong background in automation and AI-driven engineering practices across modern technology stacks. 

This is not a single-stack or platform-specific role. 

You will act as an enterprise engineering leader, responsible for designing scalable, high-performance solutions by evaluating the right engineering approach across diverse technology streams spanning APIs, backend services, modern frontends, cloud platforms, deployment architecture, and AI/ML capabilities. 

You will play a critical role in shaping engineering strategy, establishing end-to-end engineering processes, guiding engineering teams, and ensuring solutions are fit-for-purpose, scalable, and future-ready. 

 What You’ll Be Doing 

Solution Architecture & Technology Decisioning 

• Own end-to-end architecture for automation use cases across the enterprise  

• Evaluate and recommend the right approach across:  

• Cloud-native engineering (microservices, serverless, container platforms)  

• Custom engineering (APIs, backend services, UI frameworks)  

• AI-augmented automation combining ML services, LLMs, and intelligent workflows  

• Make informed trade-offs between build vs buy, custom vs platform, and AI-driven vs deterministic approaches based on scalability, cost, and maintainability  

• Act as a key decision-maker on the right technology stream and tooling for each engineering problem  

• Knowledge in Power Platform (Power Apps, Power Automate, Dataverse) 

 Architectural Governance 

• Define and enforce global architecture standards, design patterns, and best practices  

• Establish reusable engineering frameworks and AI-driven automation accelerators across teams  

• Ensure consistency, scalability, and maintainability across implementations  

 Technical Leadership 

• Lead and mentor a team of 6–10 engineers  

• Provide hands-on guidance, solution reviews, and architectural oversight  

• Drive engineering excellence and a culture of continuous improvement  

 Advanced & Hybrid Development 

• Lead complex implementations involving:  

• Custom connectors and API integrations  

• AI/ML model integration and intelligent automation patterns  

• Backend services (.NET / Java / Node.js / Python) where required  

• Handle research spikes and evaluate new tools, frameworks, and capabilities  

 Integration & Data Architecture 

• Design robust integration solutions using:  

• REST APIs, webhooks, and service-based architectures  

• Event-driven and asynchronous processing patterns  

• Work with structured and unstructured data across:  

• Cloud data platforms (Azure Data Lake, BigQuery, Snowflake, etc.)  

• SQL / external data systems  

• Dataverse 

• Optimize performance, scalability, and reliability of automation workflows  

 ALM & DevOps Strategy 

• Own and mature end-to-end engineering processes including ALM, code quality, and release governance across the organization  

• Implement CI/CD pipelines, deployment automation, and infrastructure-as-code using Azure DevOps, GitHub Actions, Jenkins, or similar  

• Drive adoption of code-first, version-controlled, and AI-assisted development practices  

 Stakeholder Collaboration 

• Partner with business and leadership teams to translate requirements into scalable technical solutions  

• Align architecture decisions with business goals, timelines, and budgets  

• Communicate complex technical concepts to both technical and non-technical stakeholders  

 Security, Compliance & Supportability 

• Ensure solutions comply with enterprise security, governance, and data protection policies  

• Design solutions for operational readiness, observability, and smooth handover to support teams  

 What You’ll Need 

Experience 

• 12+ years in software engineering, solution architecture, or enterprise application development  

• Proven track record leading engineering teams across multiple technology streams with a strong background in automation and AI-driven engineering  

• Knowledge in Power platform or Dynamics 365 ecosystem 

 Engineering Process & AI-Automation Expertise 

• Deep expertise in:  

• End-to-end engineering processes (SDLC, code reviews, quality gates, release management) implemented at organizational scale  

• Deployment and technical architecture across cloud and hybrid environments  

• Automation engineering (CI/CD, infrastructure-as-code, test automation, workflow automation)  

• Experience with:  

• Engineering AI workstreams (LLMs, agentic systems, intelligent automation)  

• Applying AI in automation (code generation, automated testing, intelligent code review, copilots)  

• Ability to drive engineering excellence and modernize platforms using AI-augmented approaches  

 Architecture & Engineering Breadth (Critical) 

• Strong experience with API design and REST-based integrations  

• Solid understanding of SQL, data modeling, and performance optimization  

• Hands-on experience with at least one backend technology (.NET / Java / Node.js / Python)  

• Exposure to modern frontend frameworks (React or similar)  

• Understanding of:  

• Microservices and distributed systems  

• Event-driven architecture (queues, messaging, pub/sub)  

• Proven ability to design and deliver solutions across diverse engineering streams with the right deployment and architecture choices  

 DevOps & ALM 

• Experience with CI/CD pipelines and automated deployments  

• Familiarity with Azure DevOps, GitHub Actions, or similar tools  

• Strong understanding of environment strategy, solution segmentation, and release management  

 Leadership & Problem Solving 

• Proven ability to lead and mentor engineering teams  

• Strong architectural thinking and decision-making skills  

• Ability to solve complex, ambiguous technical challenges  

• Excellent communication and stakeholder management skills  

 Nice to Have 

• Experience with Azure services (Functions, Logic Apps, Service Bus, API Management)  

• Knowledge of enterprise integration patterns and iPaaS platforms  

• Hands-on experience embedding LLMs, agents, or copilots into automation and engineering workflows  

 Certifications 

• Certifications in AI/ML, DevOps, or enterprise architecture (TOGAF, SAFe, or equivalent), PL-600: Microsoft Power Platform Solution Architect (preferred)  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#onsite

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is seeking a highly motivated and experienced Senior Android Developer (Software Engineer II) to join our Solutions Design Team in Chennai. This role is crucial for architecting, prototyping, and delivering high-quality mobile solutions for our transportation and mobility platforms. This requires deep expertise in Android development using Java and Xamarin, and strong skills in designing scalable, maintainable mobile solutions that integrate with cloud services and enterprise systems.

You are a member of an agile development team and participate in the planning and execution of work items.

Essential Responsibilities

• Mobile Application Design & Development: Lead the design and development of Android applications using Java and Xamarin, building high-performance, secure, and scalable mobile features.

• Architecture & Solution Design: Drive POCs and prototypes for new features, participate in architecture discussions, and translate business/UX needs into technical designs.

• Code Quality & Engineering Excellence: Implement engineering best practices (clean code, SOLID principles), conduct detailed code reviews, and monitor/troubleshoot production issues.

• API & Backend Integration: Integrate mobile apps with RESTful APIs, cloud backends, and enterprise services, collaborating with backend teams to define contracts and optimize performance.

• Collaboration & Mentorship: Work closely with UI/UX designers and product managers, and mentor junior Android/Xamarin developers on mobile design trends and architecture.

Experience

Required experience

• 3-6 years of hands-on Android development experience.

• Strong proficiency in Java for Android and deep practical experience with Xamarin (Native / Forms).

• Strong understanding of Android architecture components (MVVM, ViewModel, LiveData, Room).

• Expertise in memory management, performance tuning, and background operations.

• Experience designing mobile apps interacting with REST APIs, JSON, and cloud services.

• Experience working with CI/CD for mobile apps (GitHub Actions, Azure DevOps, Jenkins, etc.).

• Knowledge of mobile security, authentication, and secure storage methods.

Nice-to-Have (Bonus)

• Experience in telematics, mobility, logistics, or IoT domains.

• Working knowledge of GCP/AWS/Azure mobile backend services.

• Kotlin proficiency is a plus.

Other Requirements

• Passion and willingness to learn new technologies (implied).

• Strong problem-solving and analytical thinking.

• Ability to lead technical discussions and push for high-quality outcomes.

• Excellent communication and collaboration skills.

• Ability to work in a global, fast-paced, cross-functional environment.

• You are dedicated to delivering high quality and performant solutions.

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave.

Please note that the compensation details listed in India role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice). Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company. Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai, India

About the Role

We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.

You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.

If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.

Key Responsibilities

• Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
• Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
• Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of 3 years of GCP experience supporting or developing AI/ML solutions on Google platform.
• Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
• Proficiency with GCP services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You’ll Love Working Here

• Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
• Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values every day results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Our Global Voice Team is looking for a committed, experienced Software Engineer II who is passionate about creating high-performing, scalable, and resilient mission-critical services that form the foundation of Five9’s next-generation contact center platform. You will have the opportunity to combine your existing expertise with new learnings, crafting bespoke solutions that serve our customers and partners.

Responsibilities:

• Participate in an Agile Scrum team that practices DevOps.
• Write clean, well-documented code and corresponding tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 3+ years of professional experience in software development, including experience in C and/or C++.
• Hands-on experience developing software for real-time communications signaling and media protocols (e.g., SIP, RTP).
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organizational skills, with a strong sense of ownership.

Technical Skills:

• Modern C++ (C++17+)
• RTP/SIP, audio codecs, SIP/SDP
• ASR/TTS integration
• AI APIs
• Cloud platforms (AWS, Azure, GCP)
• CI/CD
• Containers
• Site Reliability Engineering (SRE) principles
• AI/ML and Large Language Models (LLMs)

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.
Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.
As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

At Appian, we’re passionate about technology—we love making it, and we love using it. Joining Appian Engineering offers you the opportunity to learn in an environment that prizes cross-functional collaboration and is deeply committed to your professional growth. We aim to revolutionize the way people work by building a platform so intuitive that our customers can truly thrive. In the Manager of Software Development role, you will provide technical leadership for a specific product area while directly driving the professional development of the engineers on your team. 

Key Responsibilities:  

The ideal candidate will manage development teams, oversee architecture decisions, and ensure scalable, high-quality delivery aligned with business objectives.

This leader is expected to guide software engineers through solving ambiguous and complex problems. They will champion an AI-first approach and bring deep experience in migrating and modernizing legacy applications using cloud-native, modular architectures and emerging technologies.

We are looking for someone with an established background in delivering highly scalable systems and a strong operational track record while working across multiple teams. This role provides the autonomy and ownership needed to innovate and solve the industry's most difficult problems.

Leadership & Team Management

• Passion for mentoring and developing engineering talent:
  • Lead and mentor a team of developers, architects, and analysts.
  • Set very high standards for the team and in hiring talent.
• Manage end-to-end project delivery.
• Establish development standards, governance, and best practices.
• Demonstrated ability to lead and drive cross-functional teams.
• Collaborate with stakeholders, product owners, and cross-functional teams.
• Drive organizational goals and engineering strategic initiatives.

Delivery & Project Management

• Drive Agile development processes and sprint planning.
• Ensure high-quality code through reviews and adherence to development standards.
• Manage timelines, risks, dependencies, and delivery milestones.
• Ensure projects meet performance, scalability, and security requirements.
• Coordinate with QA teams for testing strategies and release management.

Required Qualifications

Education:

• A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field is required. A strong academic record from a premier engineering or business institution is preferred
• Knowledge of Appian is desirable.

Experience:

• 15+ years of experience in software engineering.
• Proven track record in building and scaling distributed systems, preferably in cloud-native environments and modernization of platforms.
• AI/ML adoption.
• Proven experience leading development teams.
• Strong knowledge of enterprise application architecture.
• Leading engineering teams and managers.

Technical Skills:

• Deep Understanding software engineering, Algorithms and Data Structures
• Experience in AI Adoptability and usage and ML is highly desirable
• Proficiency in any programming Language (Java, C++, Python, other programming languages)
• Working knowledge of container technologies, orchestration frameworks (e.g., Kubernetes), and workflow automation.
• Familiarity with GPU computing and hybrid CPU/GPU architectures.
• Strong grasp of software development best practices, CI/CD, and DevOps principles.

DevOps Engineer I

We are actively seeking a DevOps Engineer to join our Cloud Engineering Application Services team. At Five9, we work in small teams and move fast to drive our products and business to the next level. We look for crucial skills in team members such as a problem-solving mindset and intellectual curiosity, along with comfortable integration into a deeply collaborative system that rewards impact.

Key Responsibilities

• Design, implementation, and automation of large-scale distributed systems

• Build tools and automation that help Five9 achieve higher availability, scalability, latency, and efficiency

• Work with Engineering teams to deliver high quality software in a fast-paced environment

• Monitor production and development environments to build preventive measures and provide a seamless customer experience

• Work with delivery teams on software improvements to achieve higher availability and lower MTTD

• Participate in on-call rotation (IST shift with every 2 weeks weekend included on call rotation)

Key Requirements

• 1–3 years of public cloud experience (GCP or AWS)

• 1–3 years of private cloud experience (Openstack, VMware ESXi)

• 1–3 years of Linux experience (Centos/Ubuntu)

• 1–3 years of networking experience

• Orchestration and management of containers using Kubernetes, Helm, GKE and Docker

• Experience with Gitlab, ArgoCD, CI/CD methodologies & tools

• Experience with Infrastructure as Code (Terraform), Python or other scripting languages

• Experience with config management tools such as Ansible and Puppet

• Experience in monitoring systems: Prometheus or LogicMonitor

• Excellent problem solving and analytical skills

• Experience with Incident Management Process, SRE best practices and continuous improvements

• Experience designing large scale distributed systems

• Strong verbal and written communications skills

• Bachelor's of Science degree in Computer Science or equivalent experience

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passion.

 About the role and what you'll be doing: 

Ensono's Enterprise Solution Architects are cross-functional technical Architects that bring multi-tower solutions together. This is a pre-sales role in which they work alongside and support Sales, Consulting and Client Success organizations to service our clients. They work with clients’ business and technical teams, and with Ensono's internal teams to create winning solutions. To that end, Enterprise Architects must be effective in fostering senior management and executive level relationships with an emphasis on client satisfaction. Throughout the engagement process, from discovery to solution implementation, ESAs must work with and often lead multi-disciplinary teams. They also lead the solution hand-over for delivery into internal delivery and ops teams. Ultimately, he/she remains the owner of the overall technical solution. 

What we are looking for

• Well versed in the hosting technology and outsourcing services landscape
• Experienced communicator at all levels of internal and external audience ranging from engineering/admin to C-level
• Experienced with large ITO, infrastructure, and transformation deals ($50M+ TCV)
• Has experience with (and preferably certified on) hyper-scale cloud platforms (AWS, Azure, GCP)
• Experienced in planning and executing discovery and design workshops internally and at client sites
• Previous experience as an SA (Sales/Solutions Engineer, Solutions Architect) with service providers
• Comfortable with executive level positioning of complex solutions that span multiple disciplines (services, hosting, network, security, storage and backup, DR, etc.)
• Familiar with complex sales cycles and contracting process
• Familiar with and can help create financial (pricing) models to support technical solutions

Job Responsibilities / Key Tasks:

• Support strategic pursuits as the Lead Solution Architect for all initiatives (multi-tower)
• Collaborate with counterparts in the Sales, Consulting and Delivery organizations to create Pursuit, Solution, Sales and Delivery strategies for Enterprise Clients
• Conduct discovery, assessment and solution development workshops (often in collaboration with resources from consulting, operations and product teams) to craft winning solutions
• Develop and document solutions that meet client's (technical and business) requirements and allow them to adapt to changing industry needs with a focus on transformation and re-platform efforts
• Create win-win solutions for both client and Ensono as part of the deal qualification, pursuit, and execution process
• Aid in driving stability and innovation within the client's current and future state and create solutions based on client requirements and available product offerings
• Push for higher value/value added services and solutions in line with Ensono's offerings
• Present technical solutions and business cases to a wide variety of internal and external audience
• Gain clients' confidence as a trusted advisor by offering consultation and recommendations drawn from insights, technology know-how and past experiences
• Work with finance and pricing teams to create simple pricing to multi-year pro-forma models
• Help build the commercial construct and pricing for IT outsourcing, and large managed services deals
• Align and partner with Product Management to help drive appropriate product enhancements and changes to technology roadmap
• Work with Finance, Product, Operations, Legal, and other internal stakeholders to deliver client proposals and contract materials (MSA review, SOW development and redlining, etc.)
• Draft and negotiate SOW, contracts, and sub-contract agreements, ensuring T&Cs alignment and risk mitigation
• Participate in deal reviews and advise Ensono senior management team regarding technical, commercial and competitive aspects
• Provide post-close consulting, knowledge transfer, and deal documentation to ensure smooth internal transition for transition, delivery, operations, and billing
• Participate in Industry Conferences and Consulting Reviews

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. 

What You Will Need:

• Experience in a pre-sales Solution Engineer or Architect role at a service provider with managed services, infrastructure, data center and transformation solutions
• Successfully concluded at least 10+ IT Outsourcing, Cloud, Managed Services, or transformation deals of $50M TCV or greater
• Complete understanding of the sales process for complex technical solution selling including ITO deals
• Strong understanding of Financial, Negotiation and Contractual issues and regulations in IT outsourcing deals
• Strong analytical and reasoning skills related to technical, contractual and financial issues
• Broad technical knowledge in data center, hosting, and hybrid cloud technologies
• Well versed in the hosting technology landscape including compute, storage, backup, network, security, End User Services, BC/DR, DevOps and IT governance
• Deep understanding of IT services outsourcing solutions
• Hybrid environment solutioning experience with the following:
  • Public cloud platforms (AWS, Azure, GCP, OCI)
  • Hypervisor Environments (VMware, Openshift) - Preferred
  • IBM Power (IBMi, AIX, Linux on Power)
• Excellent written and oral communication skills and proficient in MS Excel, PowerPoint, Word etc.
• Experience in technical documentation to capture solution components in a timely manner while ensuring acceptable level of detail, data integrity, and accountability
• Ability to share knowledge and expertise among various organizations within the company and to facilitate teamwork among those organizations to better serve our clients

Skills and Key Attributes

• Strong presentation, communication, and influencing skills at a C-level
• Independent, Self-directed, Results oriented
• Strong empathy, self-awareness and interpersonal skills
• Business and customer-oriented player with strong team orientation
• Ability to manage periods of high project demand, short deadlines and operate under pressure

Education and Experience

• 15+ years of experience with at least 10+ years with a service provider and/or cloud MSP
• Bachelor’s degree in Computer Science, Engineering or other technical disciplines
• Major Industry accreditations / certifications a plus

Shift Timings: 1:30 PM to 10:30 PM IST

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

About the Role:

We are seeking an experienced Site Reliability Engineer / Platform Engineer to join our team and help build and maintain a resilient, scalable infrastructure supporting our applications across multiple cloud providers. In this role, you will design and implement infrastructure solutions, automate operational processes, and work closely with development teams to ensure reliable, efficient systems that scale with our business.

What You'll Do:

• Design, build, and maintain infrastructure across AWS, GCP, and Azure using Infrastructure as Code (IaC) principles.
• Implement and optimize CI/CD pipelines using tools like Argo and CircleCI to enable rapid, reliable deployments.
• Manage and scale Kubernetes clusters in production environments, ensuring high availability and optimal resource utilization.
• Administer and optimize cloud databases including MongoDB, Redis, RDS, and other data stores for performance and reliability.
• Develop monitoring, alerting, and observability solutions to identify and resolve issues before they impact users.
• Automate routine operational tasks to reduce manual toil and improve system reliability.
• Conduct incident response and post-mortem analysis to drive continuous improvement.
• Collaborate with development teams to design systems with reliability, scalability, and operational excellence in mind.
• Document infrastructure architecture, runbooks, and operational procedures.
• Evaluate and implement new tools and technologies to improve platform capabilities.

What You'll Bring:

• 3+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering.
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure).
• Proficiency with Kubernetes for container orchestration and management.
• Demonstrated expertise with IaC tools (Terraform, CloudFormation, Pulumi, or similar).
• Experience with CI/CD platforms, particularly Argo and/or CircleCI.
• Solid understanding of database technologies including MongoDB, Redis, and relational databases (RDS).
• Proficiency in at least one programming or scripting language (Python, Go, Bash, Typescript, etc.).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch).
• Experience implementing and managing OpenTelemetry (OTEL) for distributed tracing, metrics, and logging.
• Strong understanding of networking, security, and infrastructure best practices.

Nice to Have

• Experience managing multi-cloud or hybrid cloud environments.
• Familiarity with service mesh technologies (Istio, Linkerd).
• Knowledge of security hardening and compliance in cloud environments.
• Experience with cost optimization in cloud infrastructure.
• Contributions to open-source infrastructure or DevOps projects.
• Certifications from major cloud providers.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

Why we're hiring:

At WPP, technology is at the heart of everything we do, and it is WPP IT’s mission to enable everyone to collaborate, create and thrive. WPP IT is undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences and deliver insight from WPP’s petabytes of data. 

 WPP Media is the world’s leading media investment company responsible for more than $63B in annual media investment through agencies Mindshare, MediaCom, Wavemaker, Essence and m/SIX, as well as the outcomes-driven programmatic audience company, Xaxis and data and technology company Choreograph. WPP Medias portfolio includes Data & Technology, Investment and Services, all united in a vision to shape the next era of media where advertising works better for people. By leveraging all the benefits of scale, the company innovates, differentiates and generates sustained value for our clients wherever they do business. 

What you'll be doing:

Primary Responsibilities: 

• Gather, analyze, and document business and technical requirements in collaboration with the MDM Lead and key stakeholders 

• Support the breakdown of high-level requirements into detailed functional and technical requirements 

• Review and analyze the existing gap analysis and help translate identified gaps into prioritized user stories and backlog items 

• Help prioritize requirements by identifying quick wins, dependencies, and delivery complexity 

• Translate agreed requirements into user stories, acceptance criteria, and backlog items for development teams 
• Support delivery activities by participating in backlog refinement, sprint planning, and requirement clarifications 

Additional Responsibilities: 

• Maintain requirement documentation and traceability as inputs evolve 

• Support the MDM Lead with documentation, analysis, and follow-ups across workstreams 
• Help ensure alignment between documented requirements and delivered functionality 

What you'll need:

Required Skills: 

• Bachelor’s degree in Business, Information Systems, Computer Science, or related field 

• 5+ years of experience as a Business Analyst or Technical Business Analyst on data or platform initiatives 

• Proven experience gathering requirements through workshops, interviews, and documentation reviews 

• Ability to translate business needs into clear, structured requirements and user stories 

• Solid understanding of data concepts such as master data, reference data, data quality, and integrations 

• Strong analytical, organizational, and documentation skills 

• Experience working in cross-functional, global teams 

• Strong English communication skills (verbal and written) 

Preferred Skills: 

• Exposure to Master Data Management (MDM) or enterprise data platforms 

• Familiarity with Agile delivery methodologies and tools (e.g. Jira, Confluence, Azure DevOps) 

• Basic understanding of APIs, data ingestion patterns, and outbound data consumption 

• Experience working alongside solution architects and development teams 

• Exposure to cloud data platforms such as BigQuery, Azure SQL, Databricks, or similar 

• Experience in a product-based or platform-led environment 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com.

Job Summary:
Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

Shift Timing

1:30 PM to 10:30 PM and 5:30 PM to 2:00 AM(Flexible to work in both the shift)

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.

Role Summary

The Application Management Support (AMS) Manager is responsible for ensuring the reliability, stability, and performance of enterprise applications through effective ITIL‑based service management and modern SRE (Site Reliability Engineering) practices. This role leads the application support function by managing incidents, problems, changes, and service requests while also driving automation, observability, and continuous improvement. The AMS Manager collaborates closely with cross‑functional teams, including Development, Infrastructure, and SRE, to enhance application performance, reduce operational toil, and improve service availability. By leveraging ITIL frameworks for governance and SRE principles for engineering excellence, the AMS Manager ensures predictable service delivery, proactive issue resolution, and high levels of user satisfaction.

Key Responsibilities 

Team Management:

• Lead, mentor, and develop a team of application support specialists.
• Assign tasks and responsibilities, ensuring efficient workload distribution.
• Conduct regular performance evaluations and provide feedback to team members.
• Encourage adoption of modern operational practices, including  SRE-aligned approaches such as automation, proactive monitoring, and continuous improvement.

Support Operations:

• Oversee the day-to-day operations of the application support team.
• Ensure timely and effective resolution of incidents and service requests.
• Develop and implement support processes and best practices to improve service delivery.
• Apply foundational SRE concepts such as reducing manual effort (toil) and improving service reliability through better monitoring and operational discipline.
• Ensure adherence to ITIL practices to maintain consistent and structured service operations.

Incident and Problem Management:

• Monitor and manage the incident lifecycle, ensuring adherence to SLAs.
• Analyze incident trends and identify root causes of recurring issues.
• Collaborate with development and infrastructure teams to implement permanent solutions.
• Conduct structured Root Cause Analysis and ensure follow‑through on preventive and corrective actions.
• Utilize basic SRE metrics (like error patterns or service health indicators) where relevant to improve reliability.

Stakeholder Collaboration:

• Work closely with business units to understand their application needs and priorities.
• Liaise with vendors and third‑party service providers to ensure optimal application performance.
• Communicate effectively with stakeholders regarding application issues and updates.
• Collaborate with engineering, DevOps, or SRE teams during releases, upgrades, and planned enhancements to ensure smooth and reliable deployments.

Continuous Improvement:

• Identify opportunities for process improvements and automation within the support function.
• Lead initiatives to enhance application performance, reliability, and user experience.
• Stay updated on industry trends and emerging technologies to drive innovation.
• Apply relevant SRE concepts — such as proactive monitoring, stability improvements, and automation — to strengthen overall service quality.

Reporting and Documentation:

• Generate and present regular reports on support activities, performance metrics, and improvement initiatives.
• Ensure the maintenance of comprehensive support documentation and knowledge base articles.
• Track operational performance, including SLAs and relevant reliability indicators, to support continuous service improvements.

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• A Master’s degree or relevant certifications (ITIL, Cloud, SRE Foundation) is a plus.

Experience:

• 10+ years of overall experience in IT, with strong exposure to application support, IT operations, or production systems.
• Proven experience in an Application Support, Application Management, or IT service management role.
• Minimum 3–4 years of experience leading and managing a technical/application support team, including performance management and team development.
• 5+ years of hands-on experience in application support or a related domain, with strong troubleshooting and analytical skills.
• Experience working with ITIL processes such as Incident, Problem, Change, and Service Request Management.
• Understanding or practical exposure to SRE concepts like proactive monitoring, automation, reducing operational toil, and improving reliability.
• Experience collaborating with cross-functional teams (Development, Infrastructure, DevOps/SRE, vendors) to ensure application stability and performance.
• Exposure to environments require high availability, performance tuning, and continuous operational improvement.

Skills:

• Strong leadership and team management skills, with the ability to guide and develop high-performing support teams.
• Excellent problem‑solving, analytical, and decision-making abilities.
• Effective communication and interpersonal skills for managing stakeholders, users, and cross‑functional teams.
• Ability to manage multiple priorities, handle pressure, and operate effectively in business‑critical situations.
• Strong customer‑centric mindset and commitment to service excellence.
• Understanding of modern operational practices, including basic SRE concepts such as proactive monitoring and automation (advantageous).

Technical Skills:

• In-depth knowledge of enterprise software applications, application architectures, and IT infrastructure components.
• Strong understanding of ITIL processes and best practices across Incident, Problem, Change, and Service Request Management.
• Experience with application monitoring tools, log analysis, and performance management platforms.
• Proficiency in using support tools and ticketing systems (e.g., ServiceNow, Jira, Remedy).
• Ability to collaborate with development, infrastructure, and DevOps/SRE teams to improve application reliability and stability.
• Prior experience as an Application Support Manager or in a similar leadership role.
• Familiarity with automation opportunities within support operations is a plus.

Working Conditions:

• May require on-call support or work outside regular business hours for high‑priority incidents, releases, or maintenance activities.
• Ability to work in a dynamic, fast‑paced, and high‑availability environment.
• Hybrid working model, depending on organizational requirements.

"We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request."

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

Job Title 

DevOps / Automation Engineer – Operations 

Location 

Pune/Chennai/Hyderabad/Bangalore 

Job Summary 

The DevOps / Automation Engineer – Operations focuses on automating and optimizing daytoday application and platform operations. This role is responsible for reducing manual effort, improving service reliability, and enabling consistent, lowrisk operational execution through automation. The engineer works closely with Application Support, Incident Management, and Platform teams to stabilize environments, accelerate recovery, and improve operational outcomes. 

Key Responsibilities 

Operational Automation 

• Automate routine and repetitive operational tasks including deployments, restarts, health checks, configuration updates, and data movement. 
• Build and maintain automation to support incident response, recovery, and operational runbooks. 
• Reduce manual intervention in production environments while maintaining control and auditability. 

Production Support Enablement 

• Partner with Application Support teams to improve operational supportability of applications. 
• Develop automation to speed incident triage, diagnostics, and resolution. 
• Support Major Incident and Problem Management efforts by providing tooling, data, and repeatable recovery procedures. 

Reliability & Stability Improvement 

• Identify operational pain points and failure patterns and automate preventive or corrective actions. 
• Improve system resilience by enabling safe restarts, automated failover steps, and standardized recovery procedures. 
• Support service stability initiatives by reducing operational errors and variability. 

Release & Change Support (OperationsLed) 

• Support production releases by enabling repeatable, automated deployment and rollback processes. 
• Work within changecontrolled environments to ensure automation complies with operational and governance requirements. 
• Improve release reliability and reduce changerelated incidents through operational automation. 

Monitoring & Observability Support 

• Integrate monitoring, logging, and alerting into operational automation workflows. 
• Create automated health checks and validation steps used during incidents and releases. 
• Support proactive operations by enabling alertdriven automation and operational dashboards. 

Documentation & Knowledge Enablement 

• Document automation solutions, operational runbooks, and standard operating procedures. 
• Ensure automation is usable and supportable by Application Support teams. 
• Participate in knowledge transfer and operational readiness activities. 

Required Qualifications 

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent operational experience. 
• 3–6 years of experience in operations engineering, DevOps, or automation roles supporting production systems. 
• Strong experience automating operational tasks in production environments. 
• Proficiency in scripting or automation languages (e.g., Python, Shell, PowerShell). 
• Experience supporting application or infrastructure operations in a 24x7 environment. 
• Strong understanding of incident, problem, and change management concepts. 

Preferred Qualifications 

• Experience in managed services or ITILaligned operational environments. 
• Experience automating within changecontrolled and audited environments. 
• Familiarity with infrastructureascode and configuration management tools from an operational perspective. 
• Experience supporting cloud, hybrid, or legacy platforms in production. 
• Exposure to monitoring, logging, and alerting platforms used in operations. 
• ITIL Foundation or similar operational certifications. 

Key Skills & Competencies 

• Operationsfirst mindset with strong risk awareness 
• Strong troubleshooting and incident support skills 
• Ability to simplify complex operational processes 
• Strong collaboration with L1–L3 support teams 
• Clear documentation and communication skills 
• Comfortable working in highavailability, productioncritical environments 

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com.

Job Summary:
Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

Shift Timing

1:30 PM to 10:30 PM and 5:30 PM to 2:00 AM(Flexible to work in both the shift)

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request

Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

"We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request."

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

We’re hiring a Senior Site Reliability Engineer to lead reliability strategy and drive AI-powered automation at scale. This role involves owning complex systems, shaping architecture, and influencing cross-functional teams.

You’ll:

• Define and evolve SLOs, SLIs, and resilience patterns
• Build AI-driven automation for detection, remediation, and forecasting
• Lead cloud infrastructure and Kubernetes platforms
• Drive incident response and operational excellence
• Mentor engineers and influence org-wide reliability practices

About You

• 8+ years of hands-on experience in Site Reliability Engineering, DevOps, or large-scale production operations.
• Advanced expertise in AWS, including architecture design across services such as EC2, EKS, VPC, IAM, RDS, S3, and CloudWatch.
• Deep experience with Infrastructure-as-Code using Terraform, including complex modules, state management, and governance.
• Strong programming and automation skills using Python and Shell; experience building production-grade automation systems.
• Expert-level Linux systems knowledge, including performance tuning, security hardening, and deep troubleshooting.
• Proven experience operating distributed systems and data streaming platforms such as Kafka in high-throughput environments.
• Demonstrated ability to work independently on complex, ambiguous problems with broad organizational impact.
• Proven technical leadership experience driving large, cross-team reliability or infrastructure initiatives, including setting technical direction, influencing design decisions, and mentoring engineers to deliver measurable outcomes at scale.

AI & Automation Expertise

• Practical experience designing or implementing AI/ML-driven automation in operations, reliability, or platform engineering.
• Experience integrating AI capabilities into monitoring, alerting, incident response, or workflow automation systems.
• Strong understanding of how AI can be safely and effectively applied in production environments.

Nice to haves:

• Experience with advanced observability platforms (Prometheus, Grafana, ELK, or similar) enhanced with AI-driven insights.
• Familiarity with predictive analytics, anomaly detection, or AIOps platforms.
• Experience influencing architectural decisions at a platform or product level.
• Prior experience operating in a 24/7, global, high-availability SaaS environment.

The Team

Zuora's Cloud Engineering team ensures the reliability, scalability, and operational excellence of global SaaS platforms, operating 24x7 with a follow-the-sun model. The team collaborates closely with Engineering, Security,Product, and Support, leveraging technologies like AWS,Kubernetes, Kafka,Terraform, and Python, with a strong focus on AI-driven operations and automation.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Why we're hiring:

WPP Media is embarking on a transformative data journey through Databridge—our internal comprehensive data strategy and framework designed to unify our fragmented global data landscape. We are moving from isolated, market-specific implementations to a standardized, scalable, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlthub), and GitHub Actions. 

 As Data Operations Lead, you will establish and head our new Data Integration & Operations team in Chennai. This is a build-and-run role: you'll define how the team operates while leading day-to-day delivery of operational excellence across global data products. 

 You will be the custodian of production—owning the operational layer including CI/CD automation, deployment pipelines, monitoring, data quality enforcement, incident management, and support. This role requires deep technical knowledge of Databricks and modern data platforms, alongside the ability to lead, mentor, and scale a growing team.

What you'll be doing:

Technical Ownership & Execution 

• Lead the team responsible for data integration, orchestration, and platform operations across Azure and GCP environments 

• Build and maintain automated CI/CD pipelines using GitHub Actions and Databricks Asset Bundles for data workflows 

• Design platform-wide monitoring, logging, and alerting covering pipeline execution, data quality, SLA compliance, and cost 

• Manage production deployments and own centralized job orchestration via Databricks Jobs/Workflows (scheduling, dependencies, retries, notifications) 

• Implement comprehensive data quality testing and validation using dbt's testing framework and custom checks 

Operational Standardization 

• Create and roll out standard operating procedures, runbooks, onboarding guides, and automation patterns 

• Establish reusable deployment frameworks and project templates for consistent implementation across markets 

• Build and maintain the Central Data Solution Repository with reusable assets (dlthub pipelines, dbt models, tests, macros) 

• Define repeatable deployment patterns ensuring standards and best practices are followed globally 

Platform Support & Governance 

• Set up and manage SLAs, incident workflows, and escalation models 

• Proactively identify and resolve operational risks in cloud-based data platforms 

• Partner with DevOps to leverage Databricks Unity Catalog for governance, access control, and lineage 

• Enforce data quality standards and governance policies embedded within pipeline code 

Team Leadership 

• Lead and mentor the Data Integration & Operations team in Chennai 

• Shape the team's operating model, priorities, and capabilities 

• Act as subject matter expert and escalation point for technical operations 
• Facilitate regular retrospectives to drive continuous improvement and optimize processes 
• Collaborate with Data Engineering, DevOps, and Product teams globally 

What you'll need:

Experience 

• 7+ years in data operations, platform engineering, or data engineering with hands-on production experience 

• 3+ years in technical leadership or team lead capacity, with proven ability to build and scale teams 
• Demonstrated experience establishing DataOps practices and operational frameworks from the ground up 

Technical Expertise 

• Deep, hands-on experience with Databricks platform, specifically: 

• Databricks SQL Warehouses, Unity Catalog, Jobs/Workflows 

• Databricks Asset Bundles for Infrastructure as Code 

• Delta Lake performance optimization 

• Strong proficiency with dbt (Core): project structure, macros, tests, documentation, CI/CD integration, production troubleshooting 

• Expert-level cloud platform knowledge (Azure and/or GCP): 

• Object storage (ADLS/GCS), secret management (Key Vault/Secret Manager) 

• Infrastructure as Code (Terraform) 

• CI/CD mastery with GitHub Actions: workflow design, secrets management, automated testing and deployment 

• Proficient in Python for automation and scripting (experience with dlthub is a major plus) 

• Strong SQL skills for data validation, quality testing, and troubleshooting 

Operational & Leadership Skills 

• Proven ability to design operational frameworks: monitoring, alerting, incident management, SLA tracking 

• Experience managing production data platforms with high uptime requirements 

• Excellent communication skills with ability to articulate technical concepts to diverse audiences 
• Strong documentation skills and commitment to knowledge sharing 

• Preferred Skills 

  • Experience working in multi-cloud environments (Azure + GCP) 
  • Familiarity with Power BI or similar BI platforms 
  • Understanding of FinOps practices for cloud cost optimization

Who Should Apply 

 This role is ideal for candidates with: 

• Real, hands-on project experience building and running production data platforms at scale 

• Proven leadership in establishing DataOps practices and growing high-performing teams 

• Deep technical expertise in the Databricks ecosystem and modern data stack 

• Entrepreneurial mindset—comfortable with ambiguity and building systems from the ground up 

 This role is not a fit if your experience is primarily theoretical, course-based, or lacks production-grade exposure to the core technologies outlined above. 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

• Strong experience creating and deploying cloud infrastructure on Azure, AWS, and GCP
• Understanding of Python and Docker for developing web APIs
• Understanding of deploying solutions to Kubernetes.
• Familiarity with serverless technologies across functions, queues, file storage, API management, and key‑value stores
• Experience with integration patterns and working with various APIs
• Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as monorepos
• Proficiency in Infrastructure‑as‑Code languages such as Terraform and CloudFormation
• Understanding of design patterns for building scalable and efficient systems
• A quality‑driven, test‑first mindset
• Excellent written and verbal communication skills
• Familiarity with Diagrams‑as‑Code for documenting infrastructure architecture is a plus
• Understanding of modern authentication protocols such as OAuth2 and OIDC
• Consideration of cross‑cutting concerns like observability and security in infrastructure design
• Contributions to open‑source projects are a plus

When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together.

This position is based at our office in Chennai, India. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best.

You will be the product manager working closely with the team whose mission is to strengthen and optimize site infrastructure by delivering essential upgrades, resource efficiency, and scalable solutions. You will be responsible for the direction and roadmap of a component of the Appian Cloud data plane that ensures reliable, high-performance operations for all Appian Cloud customer sites.

This role is specifically focused on the cloud-native persistence and messaging layer. You will oversee the backend sub-systems—including technologies like S3 and Redis—that power the platform's internal data plane and core services. This component of the software is not directly user-facing but has strong implications on the scalability and reliability requirements our customers expect.

What you will be doing:

• Prioritize and Define: Work on an agile team to prioritize, define, and ensure the success of infrastructure and managed services features for a high-level strategic roadmap.
• Stakeholder Collaboration: Prioritize what we should build and when by collaborating with stakeholders on product vision and strategy, while taking customer feedback into account.
• Technical Discussions: Define how infrastructure features will work through close collaboration with engineers in design sessions and architecture diagrams.
• Backlog Management: Manage the release and sprint backlog through planning, backlog grooming, execution, and review.
• Specification Writing: Write detailed specifications for the team and fellow product managers to review and provide feedback on.
• Impact Analysis: Track adoption and usage of new features, applying appropriate metrics and analytics to evaluate whether they are having the desired impact.
• Ownership: Own features all the way through final documentation, go-to-market, prioritization of bugs, and usage analysis.

About you:

• Experienced: You have 3+ years of relevant experience in product management or engineering, ideally within a Software-as-a-Service (SaaS) company.
• Technical at Heart: You have a strong technical background and an understanding of key concepts related to availability, scalability, resiliency, and security.
• Cloud-Native Enthusiast: You understand the value of cutting-edge infrastructure technologies like Kubernetes and are passionate about cloud-native architecture.
• Strategic Thinker: You are a problem solver with a proven ability to prioritize, negotiate, and execute in a fast-paced environment.
• Clear Communicator: You can draw clarity out of complex environments and communicate technical benefits to various audiences.

Nice to have:

• Cloud Infrastructure Expertise: Experience with AWS services (e.g., EC2, ElastiCache/Redis, S3, EBS, EFS, DynamoDB) to support mission-critical systems.
• Persistence Domain Knowledge: Experience or interest in the scalability and reliability of distributed persistence and messaging systems.
• DevOps Mindset: A believer in the principles of DevOps and Infrastructure as Code.
• Education: BA/BS in Computer Science, Engineering, or a related technical field.

This role is based at our Chennai office in Brigade World Trade Center Chennai. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian.  
 

At Appian, we’re passionate about technology—we love making it, and we love using it. Joining Appian Engineering offers you the opportunity to learn in an environment that prizes cross-functional collaboration and is deeply committed to your professional growth. We aim to revolutionize the way people work by building a platform so intuitive that our customers can truly thrive. In the Senior Manager of Software Development role, you will provide technical leadership for a specific product area while directly driving the professional development of the engineers on your team. 

Key Responsibilities:  

The ideal candidate will manage development teams, oversee architecture decisions, and ensure scalable, high-quality delivery aligned with business objectives.

This leader is expected to guide software engineers through solving ambiguous and complex problems. They will champion an AI-first approach and bring deep experience in migrating and modernizing legacy applications using cloud-native, modular architectures and emerging technologies.

We are looking for someone with an established background in delivering highly scalable systems and a strong operational track record while working across multiple teams. This role provides the autonomy and ownership needed to innovate and solve the industry's most difficult problems.

Leadership & Team Management

• Passion for mentoring and developing engineering talent:
  • Lead and mentor a team of developers, architects, and analysts.
  • Set very high standards for the team and in hiring talent.
• Manage end-to-end project delivery.
• Establish development standards, governance, and best practices.
• Demonstrated ability to lead and drive cross-functional teams.
• Collaborate with stakeholders, product owners, and cross-functional teams.
• Drive organizational goals and engineering strategic initiatives.

Delivery & Project Management

• Drive Agile development processes and sprint planning.
• Ensure high-quality code through reviews and adherence to development standards.
• Manage timelines, risks, dependencies, and delivery milestones.
• Ensure projects meet performance, scalability, and security requirements.
• Coordinate with QA teams for testing strategies and release management.

  Required Qualifications

  Education:

  • A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field is required. A strong academic record from a premier engineering or business institution is preferred
  • Knowledge of Appian is desirable.

  Experience:

  • 15+ years of experience in software engineering.
  • Proven track record in building and scaling distributed systems, preferably in cloud-native environments and modernization of platforms.
  • AI/ML adoption.
  • Proven experience leading development teams.
  • Strong knowledge of enterprise application architecture.
  • Leading engineering teams and managers.

  Technical Skills:

  • Deep Understanding software engineering, Algorithms and Data Structures
  • Experience in AI Adoptability and usage and ML is highly desirable
  • Proficiency in any programming Language (Java, C++, Python, other programming languages)
  • Working knowledge of container technologies, orchestration frameworks (e.g., Kubernetes), and workflow automation.
  • Familiarity with GPU computing and hybrid CPU/GPU architectures.
  • Strong grasp of software development best practices, CI/CD, and DevOps principles.

As a Senior Software Engineer in our Engineering Enablement Group, you will lead the re-design and evolution of our Mobile Branding framework — the system that enables customers to create custom-branded versions of the Appian mobile application for both iOS and Android. You will drive the architectural modernization of the end-to-end branding pipeline, from the customer-facing Forum application and provisioning tools to the backend build service running on Mac EC2 runners in AWS.

By leveraging modern microservices, CI/CD automation, and cloud-native infrastructure, you will transform the current system into a more reliable, scalable, and maintainable platform that reduces manual intervention and accelerates customer delivery. We are looking for a technical leader who can bridge the gap between complex Ruby/Bash-based tooling, Appian process models, and AWS infrastructure to deliver a seamless mobile branding experience.

Primary Qualifications:

• 6-9 Strong working experience with Android and iOS frameworks and mobile application development workflows.
• Familiarity with mobile build systems (Fastlane, Xcode, Gradle) and code-signing workflows.
• Experience with proficiency in Python, with experience in Ruby, Bash, or Go being a plus.
• Advanced experience with AWS infrastructure (S3, Lambda, EC2) and CI/CD pipeline design.
• Strong end-to-end knowledge of pipeline creation, deployment automation, and infrastructure-as-code (Terraform).
• Familiarity with monitoring, observability, and performance tools.

To be successful in this role, you need:

• Architecture & Design: Ability to lead the re-design of the mobile branding pipeline across customer tools, the Forum application, and the backend build service — ensuring reliability, scalability, and fault tolerance.
• Build System Mastery: Deep understanding of mobile build systems, code-signing workflows (iOS provisioning, Android signing), and CI/CD pipelines that automate the full build lifecycle.
• DevOps Ownership: A "builder" mindset toward end-to-end CI/CD pipelines, infrastructure-as-code, and deployment automation across AWS (S3, Lambda, EC2).
• Strategic Problem Solving: Strong debugging skills to resolve complex distributed systems issues across Forum process models, GitLab pipelines, and cloud infrastructure — paired with the ability to mentor teams and lead cross-functional initiatives.
• Product-Centric Engineering: Experience building software in an enterprise SaaS environment with a focus on delivering direct value to customers through automation and tooling.

The Team  
 

CRM & SDK team is focusing on integrating Five9 dialer into multiple CRM systems and works with variety of backend and frontend technologies  
 
 
The Role Purpose 

• Be part of an agile team to develop a scalable, highly available global voice platform 

• Collaborate with Product Managers, Architects, Engineering leaders and Test Engineers Understand performance and scalability principles and apply them when developing software 

• Troubleshoot and support current platform in production (we embrace DevOps) Designs, develops, troubleshoots, debugs, and implements software code using JavaScript, Java, Spring, and related technologies 

• Write unit and functional tests, be able to document and communicate clearly 
   

Skills, Competencies and Qualifications Required 

• 5+ years of industry experience in backend development (Java) 

• 5+ years of industry experience in frontend development (JavaScript, TypeScript, React) 

• Deep knowledge and experience with frameworks such as Spring 

• Hands on Experience in designing and implementing scalable, high performing Microservices providing REST APIs 

• Strong expertise in web development technologies, including HTML, CSS, and modern front-end frameworks. 

• Experience working with cloud platforms such as GCP or AWS. 

• Expertise server-side technologies and databases (SQL or NoSQL). 

• Experience working on complex problems spanning multiple products and systems 

• Experience working within an Agile/Scrum team Positive, self-motivated and enthusiastic attitude with a strong sense of ownership 

• Strong communication skills, both verbal and written 
   

Desirable 

• Hands-on experience with Kubernetes for container orchestration. 

• Knowledge of real-time communications (SIP, RTP, etc.) is a plus. 

• Experience with Backbone, Handlebars. 

• Experience with automated testing frameworks (Nightwatch) 

Other Requirements 

This position requires the ability to be On Call. 

Key Relationships 

• There are no direct reports to this role. Key stakeholders include: 

• Service owners and their teams 

• Technical leadership and senior management, including VPs 

• Engineering teams 

• Network and Telecom teams 

• Customer service teams 

• Compliance and infosec teams 

• This is not a customer-facing role. 

Team

The Devops Engineer would be an active member within the Voice Application Services team, responsible for providing automation and test support for the SW releases of Five9.

Key Responsibilities

• Design, implement, and maintain infrastructure as code using tools like Ansible and Terraform
• Build and manage scalable cloud infrastructure on AWS and GCP
• Develop and maintain CI/CD pipelines using platforms such as GitLab CI/CD, or similar
• Automate deployment, monitoring, and operational workflows across distributed systems
• Collaborate with Development, QA, and Operations teams to ensure seamless delivery and high system reliability
• Monitor system performance, troubleshoot issues, and implement solutions to improve availability and scalability
• Develop and maintain reusable automation modules and frameworks
• Identify inefficiencies in existing processes and drive improvements in automation and operational workflows
• Work with REST APIs and integrate services across systems and platforms
• Leverage AI-assisted coding tools such as Claude Code or GitHub Copilot to improve productivity and code quality
• Support and manage voice infrastructure components, including protocols such as SIP (Session Initiation Protocol) and RTP (Real-time Transport Protocol)

Qualifications & Skills

• 3+ years of experience in DevOps, SRE, or infrastructure engineering roles (preferably in telecom, SaaS, or service provider environments)
• Hands-on experience with Ansible and Terraform, including writing and maintaining reusable modules
• Strong experience with cloud platforms such as AWS and GCP
• Proficiency in Unix/Linux systems, including CLI-based administration and shell scripting
• Solid understanding of CI/CD pipelines (GitLab, or similar)
• Demonstrated understanding of AI-assisted development tools (e.g., Claude Code, GitHub Copilot)
• Familiarity with voice technologies and protocols such as SIP and RTP
• Strong troubleshooting, debugging, and problem-solving skills
• Excellent written and verbal communication skills in English
• Ability to work effectively in distributed, cross-functional teams

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

Perks & Benefits

• Competitive compensation and generous stock options. 

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies. 

As a Lead Automation QA Engineer, you will champion world-class software quality by architecting and executing advanced, hands-on automation across complex business workflows. Though you may provide strategy and mentorship, your core focus will be as a technical individual contributor running sophisticated, E2E test automation—including data, API, mobile, and cross-platform business process validations spanning the full Lead-to-Cash cycle (Salesforce, Implementation, and NetSuite). You’ll also adopt AI-based test automation, including LLM and RAG system validations.

Responsibilities

Hands-On Test Automation:

• E2E Business Process Validation:
• Design and execute automated E2E tests spanning the full Lead-to-Cash cycle, including Salesforce, downstream processes, and financial handoff to NetSuite.
• Orchestrate multi-system test scenarios to validate data flows, business process logic, integrations, and error handling across Salesforce and NetSuite.
• Develop automated test scripts to ensure synchronization and data integrity between CRM, integrated system, and ERP for business-critical workflows.
• Data Validation:
• Write and automate SQL queries for multi-source data verification, ensuring consistent, accurate information across connected systems.
• Perform automated backend checks as opportunities progress through different pipeline stages from Lead to Revenue realization.
• API & Integration Testing:
• Build and maintain robust API validation suites using Rest Assured or similar frameworks, covering all RESTful interfaces connecting Salesforce, Integrated system, and NetSuite.
• Validate integration points and data exchange between systems.
• Mobile Test Automation:
• Create and execute automated mobile tests (Appium, Espresso, XCUITest) for mobile components of business processes (if applicable).
• AI-Driven QA:
• Leverage AI-powered test automation tools and approaches to optimize and expand test coverage.
• Design and manage automated validation of Large Language Model (LLM) or Retrieval-Augmented Generation (RAG)-enabled workflows.
• DevOps Integration:
• Integrate automated E2E and component tests into CI/CD pipelines for continuous validation.

QA Leadership:

• Mentor team members in test strategy for multi-system, E2E automation.
• Review test plans and ensure adoption of QA best practices for cross-platform business process validation.
• Collaborate with cross-functional teams (Salesforce admins, implementation engineers, ERP developers) to ensure quality across business processes.

Requirements

• 8+ years’ automation QA experience, with proven E2E validation across business process systems.
• Hands-on experience automating tests across Salesforce, middleware/implementation platforms, and ERP systems like NetSuite.
• Advanced SQL query skills for backend data validation and reconciliation.
• Strong experience with API automation (Rest Assured or similar) and automated UI testing tools.
• Experience with mobile automation frameworks (Appium, Espresso, XCUITest, etc.).
• Familiarity or experience with AI/LLM/RAG or willingness to learn and implement.
• Proficient with CI/CD, Agile workflows, and test automation best practices.
• Excellent analytical, troubleshooting, and communication skills.

Job Title: Python  Developer

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO? 

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description:

• About the Role

  In this role, you will have the opportunity to work on complex and challenging projects that have a direct impact on our business. You will collaborate with stakeholders across the organisation to identify business needs and develop technical solutions that drive results. Your expertise in fullstack development, data science, and financial markets will enable you to make a significant contribution to our team and help drive business success.

  Key Responsibilities

  • Develop and implement fullstack applications that automate and streamline processes, improving efficiency and reducing risk.
  • Develop and Manage backend systems primarily using Python, with additional capabilities in Java and other languages.
  • Develop and manage frontend applications primarily using React and Next.js, with additional capabilities in JavaScript and other frameworks.
  • Design and implement core backend services and systems to serve other applications using high performance programming languages such as java.
  • Demonstrate a strong ability to understand and apply software architecture patterns, including microservices and event-driven architecture, to design robust and scalable solutions.
  • Work closely with cross-functional teams to design and implement solutions that meet business requirements and goals.
  • Communicate complex technical concepts to non-technical stakeholders, including business leaders and external partners.
  • Rapid response to issues as they arise, with the ability to drive quickly to the heart of an issue and propose appropriate solutions.
  • Manage work and processes across multiple sites.
  • Maintain discipline in coding practice while ensuring timely delivery of end solutions.

  Technical Expertise

  • Proficiency in Python is required, with familiarity in other programming languages such as Java, C++, Go, Rust, and others being advantageous.
  • Strong understanding of software architecture patterns, including microservices and event-driven architecture.
  • Familiarity with containerisation using Docker, and experience with container orchestration tools such as Kubernetes.
  • Strong understanding of software development lifecycle methodologies and experience with DevOps and CI/CD pipelines.
  • Experience with frontend technologies, including React and Next.js, and JavaScript.
  • Familiarity with data science and analytics techniques, including machine learning and statistical modelling.
  • Experience with database management systems, including relational and NoSQL databases.
  • Experience with Dash or other UI frameworks is a nice to have.

About Mitsogo & Hexnode

Mitsogo is a global organization committed to attracting top talent and fostering a sense of belonging. We recognize the rapid evolution of technology and society and prioritize equipping our employees with diverse opportunities and skills.

Hexnode, the Enterprise software division of Mitsogo Inc., simplifies the way people work. Operating in over 100 countries, Hexnode UEM empowers organizations across diverse sectors, revolutionizing the enterprise software and cybersecurity landscape.

Role Overview

We are seeking a seasoned and strategic Salesforce Lead/Architect to spearhead the design, development, and governance of our internal Salesforce Sales Cloud platform. As a product-based company, your primary focus will be on leveraging the Salesforce platform to optimize internal sales processes, drive efficiency, and scale our Go-to-Market (GTM) capabilities. This role requires a blend of deep technical architecture expertise, hands-on leadership, and strong business acumen.

Key Responsibilities

Architecture & Design Leadership

• Lead the end-to-end technical and solution architecture for our internal Salesforce platform, with a strong emphasis on Sales Cloud.

• Define and align the Salesforce roadmap with the product company's strategic goals and growth plans.

• Design scalable, high-performance, and secure solutions utilizing standard features, custom development, and external integrations.

• Oversee data modeling, data migration, and data governance strategies to ensure internal data integrity and quality.

Technical Execution & Governance

• Establish and enforce Salesforce best practices, coding standards, governance models, and release management/DevOps processes (e.g., CI/CD, Copado/Gearset).

• Act as the technical escalation point for complex design and development challenges.

• Manage and architect integrations between Salesforce Sales Cloud and other critical enterprise systems (ERP, Marketing Automation, proprietary systems).

• Conduct design and code reviews to ensure solutions are maintainable and performant.

Team & Stakeholder Management

• Collaborate closely with internal stakeholders (Sales leadership, Operations, IT) to gather requirements, prioritize initiatives, and manage expectations.

• Serve as a trusted technical advisor to business leaders.

• Mentor and provide technical guidance to a team of Salesforce developers, administrators, and business analysts.

Required Skills and Experience

• 8+ years of progressive experience in the Salesforce ecosystem, with at least 3+ years in an Architect or Lead capacity.

• Deep, proven expertise in Salesforce Sales Cloud functionality, configuration, and custom development.

• Strong hands-on experience with Apex, Lightning Web Components (LWC), Visualforce, and Flows/Process Automation.

• Expertise in Salesforce integration patterns (REST/SOAP APIs, Platform Events).

• Thorough understanding of the Salesforce security model, sharing, and visibility mechanisms.

• Experience with Agile methodologies and managing the full Salesforce development lifecycle.

• Excellent communication, presentation, and leadership skills.

Preferred Qualifications/Certifications

• Salesforce Certified Application Architect and/or Salesforce Certified System Architect (or demonstrable progress toward the Technical Architect certification).

• Salesforce Certified Sales Cloud Consultant.

• Experience working for a Product-Based Company and managing an internal Salesforce instance.

• Familiarity with other Salesforce Clouds (Service, CPQ, Experience Cloud) is a plus.

About Mitsogo | Hexnode:

Mitsogo is a global organization that highly values the contributions of each employee. Our ability to attract top talent is a testament to our commitment to fostering a sense of belonging for everyone. We recognize the rapid evolution of technology and society that impacts our industry, and we prioritize equipping our employees with diverse opportunities and empowering them with a wide range of skills.

Hexnode, the Enterprise software division of Mitsogo Inc., was founded with a mission to simplify the way people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse sectors. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape.

 Job Overview:

We are seeking a highly experienced Jira Administrator to manage and optimize our Jira Cloud environment end-to-end. The ideal candidate will play a critical role in supporting our Engineering and Project Management teams, ensuring Jira is aligned to our operational workflows and strategic objectives. This position will also focus on post-migration enhancements and ongoing configuration improvements.

Responsibilities:

• Serve as the primary Jira Administrator handling full lifecycle administration and support.
• Perform Jira Cloud configuration and customization including:
• Workflows, schemes, custom fields, permissions
• Issue types, automation rules, notification schemes
• Boards, dashboards, filters, project templates
• Work closely with Engineering, Product, and Project Management teams to understand requirements and translate them into effective Jira solutions.
• Manage Jira post-migration enhancements and troubleshooting as needed.
• Integrate Jira with other tools such as Confluence and marketplace apps.
• Maintain user roles, access control, governance, and best practices.
• Perform data analysis, reporting, and Jira cleanup activities to optimize performance.
• Ensure adherence to compliance, security controls, and established process standards.
• Provide Jira training, guidance, and documentation for internal stakeholders.

Requirements:

• Minimum 5+ years hands-on experience as Jira Administrator.
• Strong expertise with Jira Cloud (configuration, customization, automation).
• Experience supporting Agile/DevOps teams (Scrum, Kanban frameworks).
• Knowledge of Jira post-migration support and troubleshooting.
• Understanding of integrations with Confluence, Bitbucket, or similar tools.
• Strong analytical, communication, and stakeholder management skills.
• Ability to independently manage priorities and deliver results in a fast-paced environment.

Core skills: Technical Support,  troubleshooting, video technology, problem solving, Streaming Media, Video Streaming Workflows, Cloud, SaaS

Bitmovin is a global Series-C SaaS scale-up that provides award-winning video streaming technology to world-renowned brands, including Disney, Warner Brothers Discovery, BBC, Red Bull Media House, Hulu, and The New York Times, to name just a few. 

At Bitmovin, we know that to be the best, we have to have the best people. So we are an inclusive, flexible employer of some of the most impressive and diverse talent across the globe, with a culture that enables you to see success by being your best self.

Our Software Support team is looking for a Software Engineer in Support to be the technical voice of our products in post-sales technical support activities. We seek to maximise the value our customers gain from our products in media compression, playback, and analytics.

Your Impact

You will make an impact that matters by:

• Becoming intimately familiar with customers’ integration and use of Bitmovin products in their video workflows to assist in problem identification and resolution
• Having experience in software development of Web-Applications with JavaScript OR Java, foundational knowledge of Swift, Kotlin, Python
• Triaging and troubleshooting reported support cases to determine root causes and find potential solutions or workarounds
• Being the voice of Bitmovin to customers, including industry leading Video Streaming content providers, and advocating for those customers’ needs within Bitmovin
• Establishing a trusted advisor relationship with customers, offering custom solutions to address reported problems, providing recommendations and training while taking named technical ownership of key growth and strategic accounts within the region, in partnership with Customer Success Managers

It would be great if you have experience in

• Support or other service-oriented customer-facing roles
• Excellent written and verbal communication, love for communicating with people
• Software development and troubleshooting complex technical issues, as well as researching and offering solutions, including potential workarounds
• Using Support/CRM tools such as Zendesk, Jira Service Desk or similar
• Video compression and/or playback technologies
• Fluent in English (Written and spoken)

It would be even better if you had

• Experience with mobile development
• Experience with Video encoding
• Experience with Git and CI/CD processes
• Knowledge of DevOps methodologies and appreciation for the value that technologies like Serverless and Kubernetes bring to the software deployment and development process
• Experience in Linux systems administration 
• A desire for a career path as a Solutions Engineer or Solutions Architect, as opposed to contributing to core product development

Why do this at Bitmovin

There is a lot on offer here:

• View the benefits on our Careers Page
• Get to know our outstanding culture showcased on LinkedIn
• Check the employee reviews on Glassdoor

Apply for the role, and let’s get talking!

 For all of our roles, we are willing to offer flexible working arrangements to support everyone’s unique circumstances.

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

Perks & Benefits

• Competitive compensation and generous stock options. 

• Medical insurance coverage.

• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies. 

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Description:

Job Title: Java Full Stack developer (5.1-7 years) 

Position Purpose: The main responsibility of Stability & Resilience division is to support the IT strategy & Production and gathers activities contributing directly to the stability and integrity of the Production and to the Information System’s resilience.

Within the division, the domain OPEN DATA oversees Global Production Information System and Group IT Referentials. This domain includes the following teams: • IT Assets MDM & IS Architecture • IT Data Quality & Group IT Discovery services • IT Datahub & OpenData services • Group IT Referentials (RefWeb, SURF, etc) • IT Meta Data Management & IT Dictionnary • Data Platform indus & SRE • P360 / CMIS / IT documents management

Leveraging teams’ expertise and ISPL IT skills, the goal is to enable applications flawless production by providing secure and stable environments and by ensuring that all actions on production environments are done in a controlled manner.

The Fullstack Application Automation Engineer will be integrated closely in the OpenData domain’s Group Referentials developpement Team which is in charge of: • Design & develop application and features based on users representatives needs • Design & develop api features based on users representatives needs • Maintain / monitor / support applications

Responsibilities Direct Responsibilities • Design of evolutions requested by the business • Technical and functional documentation • Backend and Frontend development • Implementation of TNR (Test and Validation) • Client support during testing • Management of deliveries to production o Preparation of delivery notes o Preparation of application versions to be delivered o Passing developments through the CI/CD chain (Gitlab, Jenkins, Gitlab CI) • Management of production anomalies • Development and implementation of APIs accessible within the group, integrated with mediation in APIM APIGEE o API development and Swagger setup o Testing with different teams on different environments • For a predefined applications scope contribute ITSM process based on ITL framwork : o Incidents o Requests o Changes • Ensure that SLA targets are met for above activities • Handover to Paris teams if knowledge and skills are not available in ISPL

Contributing Responsibilities • Contribute to the knowledge transfer with Paris teams • Contribute to the definition of procedures and processes necessary for the team • Help build team spirit and integrate into  culture • Contribute to the regular activity reporting and KPI calculation • Contribute to continuous improvement actions • Work with cross-functional teams to ensure IT services align with business needs and service level agreements (SLAs).

Technical & Behavioral Competencies • Expertise in full stack development • Spring Boot • Spring Batch • Springfox • SpringDoc • PrimeNg • Angular 7 and higher • Java 8 and higher • Selenium • IntelliJ • Experience with DevOps tools including GitlabCI or Jenkins • Experience with database technology is required: Oracle, Postgre. Capability to execute basic scripts and queries • Experience with containerization technologies (Kubernetes or OpenShift). • Experience on monitoring tools (e.g., Dynatrace, Prometheus, Grafana) • Experience with scripting (e.g., Python or Bash or other). • Experience with any cloud platforms (preferably IBM Cloud). • Understanding of ITIL or similar ITSM frameworks & tools • Experience with Service Now ticketing system • Experience in Agile framework and tools (e.g., Jira, Confluence, etc)

Specific Qualifications: Bachelor degree of equivalent. At least 5 years of experience in Full stack. Skills Referential (Required knowledge, skills and abilities) Technical Skills: o Spring Boot o Java 8 and higher o Angular 7 and higher o Spring Batch o GitlabCI or Jenkins o Oracle, Postgre o Containerization technologies (Kubernetes or OpenShift) Behavioral Skills: o Ability to collaborate / Teamwork o Creativity & Innovation / Problem solving o Decision Making o Communication skills - oral & written

Education Level: Bachelor degree or equivalent Location: Chennai

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: • A work culture focused on innovation and creating lasting value for our clients and employees • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients • A diverse, inclusive, meritocratic culture

We offer:

• A work culture focused on innovation and creating lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  
  

Job Description

Key Responsibilities

• Own end-to-end delivery of CI/CD pipelines, infrastructure as code, and deployment automation workflows. 
• Collaborate with application, infrastructure, and security teams to drive automation, system reliability, and operational excellence. 
• Establish and track key metrics (KPIs) for deployment frequency, change lead time, incident reduction, and operational resilience. 
• Ensure compliance and security requirements are met through robust tooling and effective processes (e.g., secrets management, vulnerability scanning, audit logging). 
• Manage resource planning, hiring, and performance reviews; foster a collaborative and inclusive team environment. 
• Report progress, risks, and key outcomes to senior leadership; contribute to technology, roadmaps and budget planning. 

Skills and Experience

• Bachelor’s/master’s in computer science, Engineering, or related field, or equivalent practical experience. 
• 5+ years of experience in DevOps or SRE roles, including large-scale automation and modern infrastructure management. 
• Deep experience with modern DevOps tooling and practices (e.g., Kubernetes, Terraform, Jenkins, GitHub Actions, AWS/GCP/Azure). 
• Proven expertise in automation, configuration management, monitoring/alerting, and incident response. 
• Solid understanding of security best practices for cloud-native environments (e.g., IAM, RBAC, encryption, compliance frameworks). 
• Strong communication skills, with the ability to effectively manage stakeholders, prioritize work, and build high-performing teams. 

Job Description

Key Responsibilities

• Own end-to-end delivery of CI/CD pipelines, infrastructure as code, and deployment automation workflows. 
• Collaborate with application, infrastructure, and security teams to drive automation, system reliability, and operational excellence. 
• Establish and track key metrics (KPIs) for deployment frequency, change lead time, incident reduction, and operational resilience. 
• Ensure compliance and security requirements are met through robust tooling and effective processes (e.g., secrets management, vulnerability scanning, audit logging). 
• Manage resource planning, hiring, and performance reviews; foster a collaborative and inclusive team environment. 
• Report progress, risks, and key outcomes to senior leadership; contribute to technology, roadmaps and budget planning. 

Skills and Experience

• Bachelor’s/master’s in computer science, Engineering, or related field, or equivalent practical experience. 
• 5+ years of experience in DevOps or SRE roles, including large-scale automation and modern infrastructure management. 
• Deep experience with modern DevOps tooling and practices (e.g., Kubernetes, Terraform, Jenkins, GitHub Actions, AWS/GCP/Azure). 
• Proven expertise in automation, configuration management, monitoring/alerting, and incident response. 
• Solid understanding of security best practices for cloud-native environments (e.g., IAM, RBAC, encryption, compliance frameworks). 
• Strong communication skills, with the ability to effectively manage stakeholders, prioritize work, and build high-performing teams.