Role Title: Automation & Solution Architect (GCB 4)

Function: Finance System Operations

Role Description:

Senior technical lead for Finance EUC automation scale-up. Accountable for end-to-end technical delivery across demand intake, requirements analysis, build & test, production deployment and RTB change management. Provides consultative input during opportunity scoping, ensuring solutions are feasible and aligned to IT-governed platforms (e.g., Alteryx/ADM) and established controls/guardrails. Leads technical documentation, testing evidence aligned to agreed closure criteria, and supports controlled releases. Partners with Finance Domain BA, POD Lead and platform support to ensure stable, supportable automation.

Skills / Knowledge / Experience:

• Lead & Design automation for EUC (End User Computing) remediation, using AI workflow automation to reduce operational risk, improve control compliance, and accelerate remediation at scale.
• Act as Solution Architect for the end-to-end remediation across Python & Alteryx / FRAME platform, aligning delivery to risk, control, and technology standards.
• Knowledge of Finance process landscape & core systems
• Identify and prioritize EUC remediation opportunities and translate them into an automation roadmap
• Design and deliver AI-assisted remediation capabilities with prompt engineering
• Build automation pipelines to streamline discovery, assessment, remediation tracking, and evidence generation.
• Define human-in-the-loop operating model for AI outputs (review, approval, exception handling) to ensure accountable decision-making
• Familiarity with Python, IT-managed automation platforms e.g., Alteryx
• Experienced in managing end-to-end Testing lifecycle i.e., Unit Testing, SIT, UAT
• Strong in Stakeholder management
• Agile Scrum Master, SAFe, and Project Manager skills set are desirable

Job Title: Finance SME

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

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 looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.

You’ll:

• Identify high-impact opportunities using AI/ML to solve customer and business problems
• Partner with stakeholders and influence decisions through data-driven insights
• Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
• Collaborate with engineering teams to develop scalable data and ML pipelines
• Take full ownership from idea to production, delivering measurable business outcomes

This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.

About You

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Curious mind to learn, explore and identify biggest customer opportunities
3. Build strong relationships across both technical and business/product teams, earn trust with leadership
4. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
5. Willingness to dive deep into the tech stack as well as hands-on coding
6. Experience in building end to end ML models, across the ML lifecycle
7. Strong communication and leadership presence
8. Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
9. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
10. Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

The Team

Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.

The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.

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).

 Job Summary

We are seeking a highly motivated QA Automation Engineer to design, develop, and maintain automated testing frameworks while ensuring the quality of SaaS and eCommerce applications.

The role requires strong expertise in Salesforce and SAP systems, hands-on experience with automation tools, and a solid understanding of end-to-end business workflows. The ideal candidate is proactive, detail-oriented, and collaborative, with a focus on continuous improvement in an Agile environment.

What You'll do:

Automation & Test Execution

• Develop and maintain automated test scripts using Selenium, Playwright, or APEX.
• Design scalable automation frameworks for Salesforce and SAP integrations.
• Create and execute test cases including functional, regression, sanity, smoke, and exploratory testing.
• Identify automation opportunities to improve efficiency and reduce manual effort.

E-Commerce & Integration Testing

• Perform end-to-end testing across Salesforce (Sales, Service, Commerce Cloud) and SAP (FICO, BRIM, MM, GRC).
• Validate eCommerce workflows: product catalog, search, cart, checkout, pricing, promotions, and order management.
• Test integrations between Salesforce, SAP, and external systems (e.g., payment gateways).
• Ensure accurate data flow and business process validation across systems.

API, Performance & CI/CD

• Design and maintain API test automation for REST services using Postman/SOAP UI.
• Execute performance testing using JMeter or LoadRunner.
• Integrate automated test suites into CI/CD pipelines (Jenkins, GitLab CI/CD).

Defect Management & Quality Assurance

• Identify, log, track, and retest defects to ensure timely resolution.
• Perform production smoke testing post-deployment to ensure system stability.
• Maintain test suites (Smoke, Sanity, Regression) for optimal coverage.

Agile Collaboration & Test Management

• Participate in Agile ceremonies (Sprint Planning, Stand-ups, Grooming).
• Collaborate with developers, product owners, and stakeholders for requirement clarity and testability.
• Maintain test data, ensure environment readiness, and keep Jira updated with accurate statuses and comments.

Continuous Improvement & Mentorship

• Continuously improve testing processes, tools, and frameworks.
• Maintain clear documentation of test strategies and execution.
• Mentor team members and promote automation best practices.

Technical Skills

• Strong programming skills in Java or Python.
• Proficiency in JavaScript/TypeScript.
• Experience with Selenium, Playwright (preferred), and APEX.
• Expertise in API testing and performance testing tools.

Integration & Tools

• Strong understanding of SaaS applications and end-to-end integration testing.
• Experience with CI/CD tools (Jenkins, GitLab CI/CD) and version control (Git).
• Experience with Jira or similar tools.

What you bring:

Experience: Proven experience as a Test Automation Engineer or similar role with
hands-on experience in automated testing of Salesforce / SAP systems.

Technical Skills:

• Proficiency in modern web technologies (JavaScript/TypeScript).
• Strong programming skills in Java/ Python
• Hands-on experience with testing tools like Selenium, Playwright, APEX
• Good to have experience in Playwright.
• Expertise in API testing tools (Postman, SOAP UI) and performance testing (JMeter, LoadRunner).
• Integration Testing: Familiarity with SaaS applications and full-stack integration testing.

Tools & Platforms:

• Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
• Knowledge of version control systems like Git
• Preferred Qualifications:
• Familiarity with Agile/Scrum methodologies.
• Experience working in B2B SAAS Company.
• Expertise in security testing methodologies.

#LI-VG1

#LI-Hybrid

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.

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:

We are looking for a Data Analyst to support in the continued development of WPP’s client operations analytics team, using business intelligence tools and visualisations to share with WPP HQ and the wider WPP network.

What you'll be doing:

Reporting into the Director of Data Operations, this role will work in several capacities including analysing data, creating technical solutions, assessing business issues, rolling out a software solution and building internal client relationships. In this role you will help to bring insights directly to the business, enabling senior stakeholders to make informed data driven decisions on a daily basis.

The role will be as follows:

• Support our ETL (Extract, Transform & Load) process for all current & future data feeds
• Work with all existing agencies data feeds to identify & resolve any validation concerns
• Create and/or manage WPP’s master data tables
• Assist with new agency/country implementation programmes
• Filter and “clean” data by reviewing validation reports and performance indicators to locate and correct code & data process problems
• Provide ad hoc analysis to key client stakeholders

Who you'll be working with:

You’ll be working closely with all of the Data & Insights team which currently consists of 13 people (8 based in UK, 2 based in Madrid & 3 based in India) who are nice group of individuals and are a close working team that all get on well, and who are looking forward to what this team could achieve in the future.

You will also be working closely with the Data Manager, EVP of Marketing & Growth Operations, other stakeholders from WPP Operating Companies.

We've adopted a hybrid working approach to give more flexibility on where and how we work. Normally we work together in our amazing office twice a week.

This role reports to the Director of Data Operations within the Enterprise Data Group team.

What you'll need:

• Strong analytical and problem-solving skills
• Proficiency in SQL and Python (pandas, PySpark) for data analysis
• Hands-on experience with Databricks or a comparable cloud platform (Snowflake, BigQuery)
• Familiarity with modern data formats (CSV, JSON, Parquet, Delta)
• Attention to detail and a willingness to learn new tools
• Fundamental understanding of REST APIs is desirable, but not mandatory
• Exposure to AI-assisted analytics workflows (e.g. Claude, Copilot, Genie) 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:

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:

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 

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

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

Automation Test Engineer

Location: Chennai

Years of Exp: 3.1-5 years

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

Automation Test Engineer

Location: Chennai

Years of Exp: 3.1-5 years

Who we are
Arcadia is the technology company empowering energy innovators and consumers to fight the climate crisis. Our software and APIs are revolutionizing an industry held back by outdated systems and institutions by creating unprecedented access to the data and clean energy needed to make a decarbonized energy grid possible.
In 2014, Arcadia set out on its mission to break the fossil fuel monopoly and since then we have been knocking down the institutional barriers to unlock decarbonization. To date, we have connected hundreds of thousands of consumers and small businesses with high-quality clean energy options. Fast forward to today, and now, we’re thinking even bigger. We have launched Arc, an industry-defining SaaS platform that empowers developers and energy innovators to deliver their own custom, personalized energy experiences, accelerating the transformation of the industry from an analog energy system into a digitized information network.
Tackling one of the world’s biggest challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean electron, we look forward to learning what you would uniquely bring to Arcadia! Visit www.arcadia.com.
HQ: Washington, DC
>$1B Valuation; >$500M of Capital raised since inception

Job Description – Team Lead
Position Summary:
The Custom Data Integration (CDI) team is the operational backbone that enables Arcadia to ingest and standardize utility data beyond the limits of its core product and automation layer. The team handles non-standard customer needs including integrations with sustainability platforms (e.g., Envizi, ESPM, NZC), custom data deliveries and reports, and processing of indirect, non-standard, landlord, and edge-case bill formats through specialized internal workflows.
As the CDI Lead, you own the Chennai CDI pod end-to-end — throughput, quality, team capability, and operational alignment with India- and US-based Product, Engineering, Customer Success, Project Manager and Data Engineering teams. You are accountable for converting highly unstructured and non-standard requirements into standardized, audit-ready outputs that support customer sustainability reporting, billing audit workflows, and compliance needs.
This is a working-leadership role, not pure people management. You will personally own the most complex projects end-to-end, while DAs and SDAs run simpler projects under your coaching and review. You will design SOPs, onboarding workflows, QA frameworks, and delivery standards across both one-time and recurring engagements — and continuously identify automation opportunities to reduce manual dependency.

Key Responsibilities
Operational Ownership
Own CDI throughput, quality, and TAT adherence across standard and custom workflows, if applicable.
Manage intake queues, balanced workload allocation, and capacity planning across DAs and SDAs based on complexity and priority.
Ensure timely delivery of CDI projects, from new customer onboarding to recurring custom workflows
Run structured operational cadences; proactively manage risks and escalations.
Data Quality & Process Governance
Define and enforce QA standards across all utility data processing workflows.
Build SOPs, exception-handling frameworks, and decision trees for complex and ambiguous scenarios.
Ensure all manual interventions are traceable, auditable, and consistent across team members.
Drive root-cause analysis and partner with R&D and/or RevOps on systemic fixes.

Team Leadership & Development
Lead hiring, onboarding, coaching, performance management, and capability building for DAs and SDAs.
Build team capability to independently handle complex and non-standard customer requirements.
Establish structured skill progression paths (DA → SDA → Lead) to support long-term team stability and retention.
Conduct structured 1:1s and performance reviews aligned to organizational cycles.
Cross-Functional Collaboration
Act as the single point of ownership for CDI delivery across India and US stakeholders.
Partner with India/US counterparts and different stakeholders on customer escalations, onboarding handoffs, and edge-case triage.
Translate operational complexity into structured feedback for Product and Engineering to reduce manual dependency over time.
Maintain written-first communication across Slack, Jira, and Confluence.
Automation & Scale
Identify repetitive manual workflows suitable for automation or standardization.
Build lightweight automations within the team (Python, SQL, scripting) for small-volume work that doesn't warrant an Engineering build.
Collaborate with Engineering/Product to prioritize larger automation initiatives based on operational impact and customer value.
Reporting & Metrics 
Own operational dashboards covering throughput, TAT, error rates, rework %, and exception trends.
Provide weekly and monthly performance updates to leadership.
Forecast capacity needs against customer demand and complexity mix.

Required Experience & Skills 
Experience
5+ years in data operations, solutioning, data integration, or data quality roles, including 2+ years leading a team of 5 or more.
Experience in SaaS, data platforms, or operations-heavy environments with direct customer impact.
Demonstrated exposure to offshore–onshore collaboration with US stakeholders.
Technical & Domain Skills
Strong SQL for analysis, validation, and debugging.
Working Python — able to write scripts that automate repetitive work, parse files, and transform data. Engineering-grade depth not required.
Advanced Excel/Google Sheets for operational analysis.
Experience with Jira, Confluence, and structured operational workflows.
Understanding of document-heavy workflows (PDF/OCR extraction, parsing, structured transformation).
Exposure to utility, energy, billing, or similar unstructured data domains is highly desirable.
Operational & Leadership Strengths
Proven ownership of SLAs across complex, variable workflows.
Strong systems thinking — able to convert operational chaos into structured, repeatable processes.
Excellent written communication for cross-time-zone execution.
Calm, structured decision-making under escalation.

Nice to Have
Experience in sustainability, ESG, or clean energy domains.
Hands-on integration experience with platforms such as Envizi, ESPM, NZC, etc.
Familiarity with utility billing constructs (statement data, tariffs, demand charges, interval data).
Experience scaling operations teams from early-stage to mid-size structures.

Benefits:
Competitive compensation based on market standards.
We are working on a hybrid model with remote first policy
Apart from Fixed Base Salary potential candidates are eligible for following benefits
Flexible Leave Policy
Office is in the heart of the city in case you need to step in for any purpose.
Medical Insurance (1+5 Family Members)
We provide comprehensive coverage including accident policy and life Insurance.
Annual performance cycle
Quarterly team engagement activities and rewards & recognitions
L&D programs to foster professional growth
A supportive culture that values diversity, empathy, teamwork, trust, and efficiency

Eliminating carbon footprints, eliminating carbon copies.
Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in the United States.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.

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.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

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.

Responsibilities

We are looking for an experienced Senior Forward Deployed Engineer to join our AI Solutions team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Architect and implement agent-based AI solutions using the Workato Agentic AI platform.

• Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform.

• Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs).

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.

• Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability.

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Please note: In this role, you will be supporting the US business hours from 6:30 PM to 3:30 AM IST!

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience with the Workato platform, is a must.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• 5+ years of experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• 2-3 years of coding experience (Java/Python/Ruby).

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Working knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact.

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset.

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations.

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.

• Fast learner who can independently conduct extensive research and synthesize ideas, information and options quickly.

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.

Please respond to the Job Application Questions below with thorough and honest answers - concise yet detailed responses will distinguish you in our selection process. 
All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

What we’re looking for  

We’re looking for a Software Engineer III who is passionate about building reliable, scalable backend systems and enjoys working across the stack when needed. You are a hands‑on engineer who thrives on solving real‑world problems, writing clean and maintainable code, and collaborating closely with teammates to deliver high‑quality features end‑to‑end. 

You bring strong engineering fundamentals, a growth mindset, and the ability to work independently on well‑scoped projects — owning medium‑sized features from design through deployment in alignment with our engineering best practices. You’re comfortable contributing to technical discussions, making thoughtful trade‑offs, and following established architectural patterns as you deepen your understanding of our systems. 

This role is fully remote, based in India and offers the opportunity to meaningfully influence backend architecture, shape engineering best practices, and work with a mission-driven, high-performing team.  

What you’ll own  

As a Software Engineer III, you will have clear ownership over features, with opportunities to contribute across the stack:  

• Own and deliver small to medium-sized backend features end-to-end: From technical discovery and design through implementation, testing, deployment and iteration 

• Take technical ownership of one or more non‑critical backend services or components: Ensuring they remain reliable, maintainable, well‑documented, and easy to extend. 

• Write clean, modular, testable code: Primarily in Ruby, Ruby on Rails, and Python, while contributing to frontend code when needed to support full‑stack feature delivery. 

• Contribute to the design and evolution of our APIs: Including GraphQL and REST endpoints that power frontend and partner‑facing applications, following established architectural patterns and best practices. 

• Ensure strong observability and operational health of owned services: Through logging, monitoring, alerting, and contributing to root‑cause analysis and follow‑through improvements. 

• Actively participate in technical discussions: Bringing thoughtful perspectives that balance simplicity, long‑term maintainability, and performance as you deepen your understanding of Perch’s systems. 

• Support team productivity through high‑quality code reviews and collaboration: Sharing context, helping unblock others, and contributing to a strong engineering culture. 

What you’ll do  

• Design and build scalable, resilient backend systems using Ruby on Rails, Python and PostgreSQL  

• Contribute to implementation of complex features and integrations, including external systems such as Salesforce  

• Take technical design decisions independently for your features 

• Own and evolve GraphQL services that power frontend and partner-facing applications  

• Improve system reliability through testing, monitoring, alerting, and operational best practices  

• Ship production-ready code frequently using a modern CI/CD pipeline  

• Review code and designs with a strong focus on maintainability, performance, and long-term impact  

What will help you succeed  

Experience & leadership  

• 4+ years of experience building and operating high-availability backend systems  

• Demonstrated experience delivering backend features and owning systems 

• Strong fundamentals in system design, API design, and data modelling  

• Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders 

• Actively represent engineering team in key discussions with US stakeholders 

• Proven experience mentoring junior engineers and raising the technical bar of a team  

• Comfortable working in ambiguous problem spaces and iterating toward robust solutions  

Backend & infrastructure  

• Strong experience with Python or Ruby, including proficiency in at least one web framework: 

• Ruby on Rails 

• FastAPI, Django or Flask 

• Working knowledge of ReactJS, with the ability to contribute to frontend components to support full‑stack delivery 

• Advanced SQL skills and experience with PostgreSQL or similar relational databases  

• Hands-on experience with AWS services such as S3, SQS, SES, EventBridge, or similar cloud-native services.  

• Containerization using Docker  

• Exposure to distributed systems or platform engineering  

• Familiarity with background jobs, async processing, and event-driven workflows  

Bonus points for  

• Experience integrating with Salesforce or other enterprise platforms  

• Experience designing and owning  GraphQL APIs (Apollo or similar)  

• Strong opinions (loosely held) on backend architecture, scalability, and system design  

• Exposure to AI-assisted engineering—such as using modern AI tools for coding, debugging, testing, documentation, or exploring LLM-based workflows in backend systems  

• Familiarity with observability and distributed tracing tools such as OpenTelemetry, Jaeger, Prometheus, or similar  

• Experience with container orchestration and deployment using Kubernetes and Helm charts  

• Passion for sustainability, clean energy, and building mission-driven products  

What success looks like in this role  

• Backend systems scale reliably as usage, data volume, and complexity grow  

• Engineers move faster due to clear APIs, architecture, and standards  

• Production issues are identified early and resolved with lasting fixes  

• Technical debt is addressed proactively rather than reactively  

• The backend platform enables product teams instead of limiting them  

Benefits:  Apart from Fixed Base Salary potential candidates are eligible for following benefits  

• Competitive compensation based on market standards.  
• Flexible Leave Policy  

• Office is in the heart of the city in case you need to step in for any purpose.  

• Medical Insurance (1+5 Family Members)  

• We provide comprehensive coverage including accident policy and life Insurance.   

• Annual performance cycle  

• Quarterly team engagement activities and rewards & recognitions  

• L&D programs to foster professional growth  

• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency   

Eliminating carbon footprints, eliminating carbon copies. Here at Perch, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Perch is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India.  
  
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request

Software Engineer III 
  
  

Who we are  

Perch Energy is a mission-driven company that focuses on expanding access to clean and affordable energy through community solar. Community solar breaks down the traditional barriers preventing most people from participating in the renewable energy economy by making it accessible, affordable, and more equitable for all. We work in several states across the US to bring community solar to communities and individuals who can most benefit from a more inclusive energy system. By managing the customer experience for solar farm owners, Perch is able to bring electricity bill savings to the masses, from renters and homeowners to businesses, institutions, municipalities and more by connecting them to community solar projects in their area. Perch isn't just a for-profit company, we're a for-purpose company—accelerating the shift to renewables nationwide. Everyone deserves to benefit from clean energy. Everyone has a place on this Perch!  

What we’re looking for  

We’re looking for a Software Engineer III who is passionate about building reliable, scalable backend systems and enjoys working across the stack when needed. You are a hands‑on engineer who thrives on solving real‑world problems, writing clean and maintainable code, and collaborating closely with teammates to deliver high‑quality features end‑to‑end. 

You bring strong engineering fundamentals, a growth mindset, and the ability to work independently on well‑scoped projects — owning medium‑sized features from design through deployment in alignment with our engineering best practices. You’re comfortable contributing to technical discussions, making thoughtful trade‑offs, and following established architectural patterns as you deepen your understanding of our systems. 

This role is fully remote, based in India and offers the opportunity to meaningfully influence backend architecture, shape engineering best practices, and work with a mission-driven, high-performing team.  

What you’ll own  

As a Software Engineer III, you will have clear ownership over features, with opportunities to contribute across the stack:  

• Own and deliver small to medium-sized backend features end-to-end: From technical discovery and design through implementation, testing, deployment and iteration 

• Take technical ownership of one or more non‑critical backend services or components: Ensuring they remain reliable, maintainable, well‑documented, and easy to extend. 

• Write clean, modular, testable code: Primarily in Ruby, Ruby on Rails, and Python, while contributing to frontend code when needed to support full‑stack feature delivery. 

• Contribute to the design and evolution of our APIs: Including GraphQL and REST endpoints that power frontend and partner‑facing applications, following established architectural patterns and best practices. 

• Ensure strong observability and operational health of owned services: Through logging, monitoring, alerting, and contributing to root‑cause analysis and follow‑through improvements. 

• Actively participate in technical discussions: Bringing thoughtful perspectives that balance simplicity, long‑term maintainability, and performance as you deepen your understanding of Perch’s systems. 

• Support team productivity through high‑quality code reviews and collaboration: Sharing context, helping unblock others, and contributing to a strong engineering culture. 

What you’ll do  

• Design and build scalable, resilient backend systems using Ruby on Rails, Python and PostgreSQL  

• Contribute to implementation of complex features and integrations, including external systems such as Salesforce  

• Take technical design decisions independently for your features 

• Own and evolve GraphQL services that power frontend and partner-facing applications  

• Improve system reliability through testing, monitoring, alerting, and operational best practices  

• Ship production-ready code frequently using a modern CI/CD pipeline  

• Review code and designs with a strong focus on maintainability, performance, and long-term impact  

What will help you succeed  

Experience & leadership  

• 4+ years of experience building and operating high-availability backend systems  

• Demonstrated experience delivering backend features and owning systems 

• Strong fundamentals in system design, API design, and data modelling  

• Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders 

• Actively represent engineering team in key discussions with US stakeholders 

• Proven experience mentoring junior engineers and raising the technical bar of a team  

• Comfortable working in ambiguous problem spaces and iterating toward robust solutions  

Backend & infrastructure  

• Strong experience with Python or Ruby, including proficiency in at least one web framework: 

• Ruby on Rails 

• FastAPI, Django or Flask 

• Working knowledge of ReactJS, with the ability to contribute to frontend components to support full‑stack delivery 

• Advanced SQL skills and experience with PostgreSQL or similar relational databases  

• Hands-on experience with AWS services such as S3, SQS, SES, EventBridge, or similar cloud-native services.  

• Containerization using Docker  

• Exposure to distributed systems or platform engineering  

• Familiarity with background jobs, async processing, and event-driven workflows  

Bonus points for  

• Experience integrating with Salesforce or other enterprise platforms  

• Experience designing and owning  GraphQL APIs (Apollo or similar)  

• Strong opinions (loosely held) on backend architecture, scalability, and system design  

• Exposure to AI-assisted engineering—such as using modern AI tools for coding, debugging, testing, documentation, or exploring LLM-based workflows in backend systems  

• Familiarity with observability and distributed tracing tools such as OpenTelemetry, Jaeger, Prometheus, or similar  

• Experience with container orchestration and deployment using Kubernetes and Helm charts  

• Passion for sustainability, clean energy, and building mission-driven products  

What success looks like in this role  

• Backend systems scale reliably as usage, data volume, and complexity grow  

• Engineers move faster due to clear APIs, architecture, and standards  

• Production issues are identified early and resolved with lasting fixes  

• Technical debt is addressed proactively rather than reactively  

• The backend platform enables product teams instead of limiting them  

Benefits:   

• Competitive compensation based on market standards.  

Apart from Fixed Base Salary potential candidates are eligible for following benefits  

• Flexible Leave Policy  

• Office is in the heart of the city in case you need to step in for any purpose.  

• Medical Insurance (1+5 Family Members)  

• We provide comprehensive coverage including accident policy and life Insurance.   

• Annual performance cycle  

• Quarterly team engagement activities and rewards & recognitions  

• L&D programs to foster professional growth  

• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency   

Eliminating carbon footprints, eliminating carbon copies. Here at Perch, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Perch is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India.  
  
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request 

About the Team At Business Technology, we use Appian to run Appian. We are launching our first internal AI team to build the foundation for how our global company works. This team won't just use AI, they will build the brain of the enterprise, spanning everything from predictive intelligence in our data warehouse to the GenAI infrastructure that powers our internal autonomous agents.

We are hiring a founding group of engineers to kickstart this mission. As an AI Engineer on this team, you won’t be maintaining legacy systems; you’ll be building from the ground up. You will own the full spectrum of AI: crafting predictive ML models to find insights in our data warehouse and architecting GenAI systems that allow any employee to interact with enterprise knowledge through intelligent agents.

If you want to be part of the original team that defines internal AI for a leading automation company, this is your moment.

PLEASE NOTE: This is a midlevel role and is aimed at people with 3+ years experience

What you’ll do:

• Build the AI Platform: Design, deploy, and scale GenAI infrastructure on GCP Vertex AI (preferred) or AWS Bedrock.
• Build & Operate MCP Servers: Develop and maintain Model Context Protocol (MCP) servers that expose enterprise systems (databases, APIs, internal tools) as structured, AI-consumable capabilities.
• Design the Tool Layer: Build the tool registry and invocation framework that allows agents to interact with internal systems safely and reliably including schema design, access controls, and error handling.
• Engineer Agent-to-Agent Infrastructure: Architect the communication and coordination layer that allows specialized agents to delegate tasks, share context, and compose into larger autonomous workflows.
• Own the Retrieval Layer: Architect and operate RAG systems, including vector stores, embedding pipelines, chunking strategies, and retrieval evaluation frameworks.
• Establish AI Reliability: Instrument AI systems with logging, tracing, latency monitoring, and evaluation hooks so agents can be trusted, debugged, and improved in production.

Required Qualifications:

• AI Infrastructure Experience: Professional experience building and deploying production-grade GenAI systems on GCP Vertex AI or AWS Bedrock including LLM APIs, agent frameworks, and RAG pipelines.
• Python Mastery: Deep proficiency in Python and common AI/ML libraries (e.g., LangChain, LlamaIndex, OpenAI SDK, Google Cloud AI SDK).
• Agentic Systems: Hands-on experience building multi-step, tool-calling AI agents that operate reliably in production including tool schema design, structured outputs, and failure handling.
• MCP or Tool Protocol Experience: Familiarity with Model Context Protocol (MCP) or equivalent patterns for exposing enterprise resources to AI systems as callable, permissioned tools.
• Vector & Retrieval Systems: Experience with vector databases (Pinecone, pgvector, or similar) and embedding-based retrieval at scale.
• Technical Foundation: B.S. in Computer Science, Engineering, or a related technical field.
• The Pioneer Mindset: A self-starter who is excited to be part of a "first-of-its-kind" team and thrives in environments where you are building the playbook.

Preferred Qualifications:

• Multi-Agent Architectures: Experience designing orchestrator/subagent patterns, agent handoff protocols, or systems where multiple AI models coordinate to complete complex tasks (e.g., using frameworks like LangGraph, CrewAI, or AutoGen).
• AI Observability: Experience with LLM evaluation frameworks, prompt regression testing, or agent trace monitoring (e.g. custom eval pipelines).
• Data Warehouse Integration: Familiarity with SQL and pulling data from Snowflake or BigQuery to ground AI agents in live business context.
• Appian Exposure: Experience with the Appian platform or interest in integrating AI agents into low-code automation workflows.
• Predictive ML (Nice to Have): Some familiarity with ML fundamentals is a plus, but not a focus of this role.

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.  

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

Job Title: Python  Automation Expert

 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:

• • Role Description:

    Hands-on engineer delivering Finance EUC automations on IT-governed platforms. Understands demand for automation, detailed requirements, and undertakes build & test, production deployment activities and RTB change implementation, following defined standards and platform guardrails. Contributes to opportunity scoping by providing technical input on feasibility and effort. Produces code, documentation and test evidence aligned to agreed closure criteria, and supports controlled deployment and post-release fixes. Works closely with the POD Lead, Finance Domain BA and platform support to ensure solutions are reliable and supportable.

     

    Skills / Knowledge / Experience:

    • Strong understanding of Python programming with Excel dependent and Pandas library, and capable of debugging Python code
    • Strong data preparation, visualization, and analytics capability
    • Design and deliver AI-assisted remediation capabilities
    • Strong understanding of EUCs (End User Computing) and their remediation through AI
    • Experience with Gen-AI tools and prompt engineering
    • Skilled in IT-managed automation platforms e.g., Alteryx
    • Knowledge of Finance data systems

Why we're hiring:

The Automation Engineer is responsible for designing, developing, and maintaining security automation solutions that enhance detection, response, workflow efficiency, and operational consistency across Operational Security. Working under the Automation Lead, this role builds high-quality SOAR playbooks, integrations, scripts, AI-assisted workflows, and orchestration pipelines to reduce manual workloads and support the Autonomic Security Operations (ASO) model.

What you'll be doing:

Core Responsibilities

Automation Engineering & Development

• Develop SOAR playbooks, workflows, and automations for alert triage, enrichment, containment, and remediation.
• Build scalable, reusable automation components, scripts, and integrations.
• Implement high-quality scripting using Python, PowerShell, and REST APIs.
• Ensure appropriate version control, QA, testing, and documentation of automation artefacts.
• Maintain reliability of automations by monitoring performance, exceptions, and system behaviour.

Platform Integration & Tooling Engineering

• Integrate SOAR with SIEM, EDR, TIP, cloud-native security tools, and case management systems.
• Engineer automation pipelines to support Microsoft and Google security ecosystems.
• Develop API integrations, webhooks, and event-driven automation triggers.
• Support data transformation, enrichment, and telemetry orchestration requirements.

AI / ML Automation Enablement

• Contribute to embedding AI/ML-driven enrichment and correlation logic into automated workflows.
• Support operationalisation of ML models for anomaly detection and decision support.
• Collaborate with data and detection teams to refine and enhance AI-enabled automation.

Workflow Engineering & Process Automation

• Translate SOPs, response runbooks, and detection workflows into automated processes.
• Identify automation opportunities to eliminate manual tasks across SecOps functions.
• Ensure automated processes remain consistent, auditable, and compliant with Operational Security standards.

Operational Collaboration & Support

• Work with Detection Engineering, Incident Response, Threat Hunting, and Threat Intelligence teams to automate use cases.
• Participate in post-incident reviews and embed improvements into automation workflows.
• Assist with tool evaluations, optimisation initiatives, and integration efforts led by the Automation Lead.

Continuous Improvement

• Contribute to a backlog of automation enhancements and new capabilities.
• Optimise accuracy, resilience, and efficiency across automation workflows.
• Ensure alignment with GCAT SOC10x principles, including 10X Technology, Process, Speed, and Visibility.

What you'll need:

Technical Expertise

• Experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, or Chronicle SOAR.
• Proficiency in Python and/or PowerShell for automation development.
• Strong understanding of REST APIs, JSON, and event-driven automation.
• Experience integrating SIEM, EDR, TIP, and cloud-native security tools.

Process & Operational Knowledge

• Understanding of workflows across SOC, Incident Response, Threat Hunting, and Detection Engineering.
• Ability to convert operational requirements and SOPs into engineered automation.
• Familiarity with playbooks, runbooks, and security process governance.

Collaboration & Delivery

• Strong communication and documentation skills.
• Ability to work in an engineering-led, automation-first culture.
• Experience working with cross-functional technical teams in security operations.

Certifications (Preferred)

• SOAR platform certifications.
• GIAC (GMON, GCTI, GCIH, GCDA).
• Python or scripting certifications.
• Azure or GCP cloud certifications.

Key Attributes

• Engineering-first mindset with strong attention to detail.
• Problem-solving orientation with a focus on automation and efficiency.
• Structured, methodical, and reliable approach to delivery.
• Commitment to operational excellence and continuous improvement.

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 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.

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.

Why we're hiring:

The Threat Hunter is responsible for proactively identifying advanced threats that evade traditional security controls. This role involves hypothesis-driven investigations, leveraging threat intelligence, and analyzing telemetry across endpoints, networks, and cloud environments to uncover stealthy adversary activity. The Threat Hunter plays a critical role in reducing dwell time and strengthening organizational resilience under the Autonomic Security Operations model.

What you'll be doing:

Proactive Threat Hunting

· Execute hypothesis-driven hunts based on adversary TTPs and threat intelligence.

· Analyze telemetry from SIEM, EDR/XDR, NDR, and cloud-native platforms to identify anomalies.

· Develop and maintain hunting queries and scripts for automation and repeatability.

· Validate detection coverage through purple team exercises and adversary emulation.

Threat Intelligence Integration

· Incorporate emerging threat intelligence into hunting hypotheses and detection pipelines.

· Maintain awareness of global threat actor tactics, techniques, and procedures (MITRE ATT&CK).

Continuous Improvement

· Document hunt findings and feed insights into detection engineering and SOC workflows.

· Maintain a backlog of hunting hypotheses and visibility gaps for remediation.

· Contribute to automation of hunting workflows using scripting and SOAR platforms.

Strategic Alignment to GCAT SOC10x

· 10X People: Continuous learning and knowledge sharing within the team.

· 10X Process: Embed agile, hypothesis-driven hunting workflows.

· 10X Technology: Leverage AI/ML analytics for anomaly detection and hunt acceleration.

· 10X Visibility: Ensure comprehensive telemetry ingestion across hybrid environments.

· 10X Speed: Reduce dwell time and accelerate detection-to-response cycles.

What you'll need:

Technical Expertise

· Strong knowledge of threat hunting methodologies and frameworks (MITRE ATT&CK, TaHiTI).

· Proficiency in SIEM, EDR/XDR, and log aggregation tools across hybrid infrastructure.

· Scripting skills (Python, PowerShell) for automation and data analysis.

· Familiarity with threat intelligence integration and behavioral analytics.

Collaboration & Communication

· Ability to work closely with SOC, IR, and engineering teams.

· Skilled in documenting hunt outcomes and communicating findings effectively.

Certifications (Preferred)

· GIAC GCTI, GCIH, or equivalent advanced security certifications.

Key Attributes

· Automation-first mindset with focus on scalability and resilience.

· Strong analytical and problem-solving skills.

· Excellent communication and teamwork capabilities.

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 Overview

We are looking for a Senior Backend Engineer to design, build, and scale robust backend services that power complex business workflows. This role requires strong ownership, deep Java expertise, a solid grounding in hexagonal architecture, and the ability to collaborate effectively across product, QA, AI/ML, and engineering teams in a fast-moving, AI-native environment.

Key Responsibilities

• Design and build Java (Spring Boot 3.x) microservices following hexagonal architecture — clean domain logic isolated from MongoDB, PostgreSQL, Cosmos DB, and Kafka adapter implementations.

• Develop and maintain REST APIs, Kafka event consumers/producers, and domain service logic for campaign, scoring, attribution, and customer profile workflows.

• Build and manage MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant use cases. 

• Implement Cosmos DB data models for event and state storage with appropriate partition key and consistency strategies.

• Take end-to-end ownership of components — from domain design and hexagonal adapter implementation through deployment and ongoing optimization.

• Integrate with Elasticsearch for campaign search, customer lookup, and full-text query workloads.

• Configure and tune Redis or Aerospike for frequency cap enforcement, scoring cache, and session state management.

• Identify and resolve performance bottlenecks across services, event pipelines, and data layers.

• Participate actively in design discussions, architecture decisions, and code reviews.

• Mentor Junior engineers and act as a role model for code quality, hexagonal design, and AI-native engineering best practices.

Skills & Qualifications

• 5+ years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.

• Strong Java 21 and Spring Boot 3.x expertise; solid grasp of hexagonal architecture and clean domain modeling.

• Experience with Kafka: consumer/producer patterns, at-least-once delivery, idempotent processing, and event-driven service design.

• Hands-on MongoDB experience: document schema design, indexing, aggregation pipelines, multi-tenant isolation.

• PostgreSQL experience: schema design, query optimization, migration management.

• Familiarity with Cosmos DB or equivalent distributed key-value / document stores.

• Experience with Elasticsearch for search and analytics workloads.

• Experience with Redis or Aerospike for high-throughput caching patterns.

• Familiarity with cloud-based systems on AWS (EKS, MSK, S3).

• Strong debugging, performance tuning, and system optimization skills.

• Familiarity with Agile/Scrum development practices and CI/CD pipelines.

Good to Have

• Experience with Temporal for workflow orchestration.

• Familiarity with AI-native integration patterns: MCP tool registration, scoring API contracts, LLM gateway usage.

• Working knowledge of Python for understanding AI/ML service outputs and integrating scoring results.

• Background in enterprise-scale SaaS platforms: eCommerce, supply chain, or similar. 

Job Description

We are seeking a Staff Backend Engineer to design and build scalable, AI-native backend services that power customer intelligence, campaign orchestration, and attribution at automotive retail scale. This role is the critical technical anchor — defining hexagonal architecture patterns, owning service boundaries, driving AI integration patterns, and setting the engineering bar for the entire team.

Key Responsibilities

 • Architect Java (Spring Boot 3.x) microservices using hexagonal architecture — defining clean domain cores, port interfaces for persistence (MongoDB, PostgreSQL, Cosmos DB), and adapter implementations for Kafka, Elasticsearch, Redis/Aerospike, and external APIs.

• Own core domain models and service boundaries end-to-end: from initial hexagonal design through production operation, Kafka event contracts, and iterative enhancement.

• Build scalable, secure REST APIs and robust Kafka-based event-driven pipelines that consume and produce events across multiple source systems. 

• Design MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant workloads — with deep attention to indexing strategy, TTL, and tenant isolation patterns.

• Design Cosmos DB data models for high-throughput event and state storage — partition key strategy, consistency levels, and TTL configuration. 

• Design and implement durable campaign execution workflows using Temporal. 

• Establish and own AI-native integration patterns: MCP tool registration, scoring model serving contracts, LLM gateway integration, and agentic workflow design.

• Identify and resolve performance bottlenecks across services, Kafka pipelines, data layers, and Elasticsearch query performance. 

• Ensure all systems meet reliability, scalability, and observability standards.

• Mentor senior, mid-level, and junior engineers — setting and consistently raising the engineering bar.

Skills & Qualifications

• 8+ years of backend engineering experience with a strong track record delivering production-grade Java systems.

• Deep expertise in hexagonal architecture (ports & adapters) — proven ability to design domain cores fully decoupled from infrastructure layers.

• Strong Java 21 and Spring Boot 3.x expertise with event-driven, microservices-first design. 

• Strong experience with Kafka — consumer groups, partition design, offset management, idempotent consumers, and event-driven service integration.

• Proven experience with MongoDB: document schema design, indexing, aggregation pipelines, and multi tenant isolation patterns.

• Strong PostgreSQL experience: complex schema design, query optimization, migration management.

• Experience with Cosmos DB or equivalent globally distributed key-value stores: partition key design, consistency tuning, high-throughput read/write patterns.

• Solid experience with Elasticsearch: index design, search query optimization, relevance tuning.

• Experience with Redis or Aerospike for high-throughput caching and session/state management.

• Strong understanding of distributed systems: service boundaries, data consistency, idempotency, retries, and circuit breaking on AWS (EKS, MSK).

Preferred Skills

• Experience with Temporal for durable workflow orchestration. 

• Familiarity with MCP tool registration patterns and agentic platform integration.

• Working knowledge of Python for AI/ML pipeline integration (scoring models, feature serving, LLM gateway patterns).

• Prior experience building data platforms, real-time analytics systems, or AI-native SaaS products.

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.

Role Overview

We are seeking a Principal Applied Scientist to be the highest-level AI technical authority on the team. This role is above the Applied Scientist level — you set the AI research and engineering direction, own the agentic system architecture, define the eval framework standards, and operate as the primary interface to the external AI research community and internal platform AI leadership. You will combine deep research rigor with relentless production focus: every AI capability you design ships, gets measured, and improves based on evidence.

You are the person who answers: "Is this AI approach the right one, and how do we know when it's working"

Key Responsibilities

• Own the agentic system architecture: define the multi-agent coordination patterns, MCP tool taxonomy, intent-to-skill routing logic, policy enforcement design, and memory management strategy across all AI workflows on the platform.
• Lead the AI evaluation framework: design the golden dataset structure, define eval metrics (RAG retrieval quality, scoring accuracy, LLM response correctness, agentic workflow success rate), and own the CI/CD AI eval pipeline that gates every AI capability release.
• Drive the RAG architecture strategy: chunking strategies for MongoDB and Elasticsearch-indexed documents, embedding model selection and fine-tuning, retrieval reranking design, and hallucination mitigation patterns.
• Own the LLM integration architecture: prompt engineering standards, LLM gateway usage policies, context window management, streaming response patterns, and model version governance.
• Lead applied research initiatives: identify novel techniques (RLHF, Constitutional AI, multi-modal, sparse retrieval) that are practically applicable to automotive retail intelligence use cases and prototype them rigorously in Python.
• Define the hexagonal AI adapter contract standard: the formal interface specification between Python AI services and Java domain cores — ensuring AI infrastructure remains swappable without domain logic changes.
• Act as primary technical interface to platform AI leadership (LLM Gateway, ML Platform, Agentic Engine) — influencing platform roadmap based on teams practical requirements.
• Mentor the Applied Scientist and ML Architect; conduct technical reviews of AI system designs, eval frameworks, and research approaches.
• Publish, present, or contribute to open-source where appropriate — representing Tekion's AI engineering excellence externally.

Skills & Qualifications

• 10+ years of applied AI/ML experience with at least 3 years at Staff or Principal level — a track record of shipping AI systems that measurably changed business outcomes.
• Deep expertise across: LLM fine-tuning and alignment, RAG system design (chunking, embedding, retrieval, reranking), agentic frameworks (LangGraph, CrewAI, AutoGen), and MCP tool design.
• Python mastery: PyTorch, Hugging Face Transformers, LangChain/LangGraph, scikit-learn, and production ML serving tooling.
• Strong understanding of distributed AI systems: Elasticsearch-backed vector search, Redis/Aerospike serving, Cosmos DB for AI event logging, and Kafka-based feature pipelines.
• Proven ability to design formal eval frameworks for AI systems — not just accuracy metrics but business aligned quality gates.
• Experience defining and enforcing hexagonal adapter contracts between AI services and domain service layers in production systems.
• Track record of communicating complex AI system design to non-technical stakeholders, influencing product roadmaps, and driving cross-team alignment. 

Good to Have

• Publications or significant open-source contributions in NLP, information retrieval, or agentic systems.
• Experience with Constitutional AI, RLAIF, or preference optimization techniques (DPO, PPO).
• Familiarity with multi-modal AI and its application to automotive retail data (images, documents, tabular data fusion).
• Prior experience in a product-focused AI role at a SaaS or platform company — not purely research. 

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 Senior Software Engineer specialising in SAP S/4HANA ABAP/FIORI/AI, you will be a key member of the SAP technical team responsible for designing, developing, and implementing SAP solutions to support business operations. Your primary focus will be on SAP AI developments, UI/UX development using SAP Fiori/UI5,  as well as backend ABAP development for custom solutions and enhancements. You will work closely with functional teams to translate business requirements into technical specifications and ensure seamless integration across SAP modules. Additionally, you will be responsible for maintaining best practices, optimizing performance, and driving innovation through new SAP technologies. You should also have knowledge of emerging AI technologies such as SAP Joule, Robotic Process Automation (RPA) with AI,  AI-powered chatbots and virtual assistants etc. Additionally, you should be familiar with other programming languages like Python or Java and be prepared to conduct Proof of Concepts (POCs) to explore innovative solutions.

What You'll do:

• Build and deliver solutions for integration of AI capabilities for ABAP to accelerate Custom Code Management.
• Design, develop, and implement SAP Fiori/UI5 applications and ABAP backend solutions to meet business requirements.
• Build AI solutions using SAP Joule, MicroApps, agentic AI development
• Collaborate with functional and technical teams to define, develop, and enhance SAP UX and backend solutions.
• Develop and optimize CDS Views, OData Services, and AMDP-based data models for performance efficiency.
• Customize and configure SAP Fiori Launchpad, design intuitive UI/UX interfaces, and ensure responsive applications.
• Develop and maintain SAP workflows, enhancements, and reports using ABAP and RAP.
• Conduct code reviews, performance tuning, and implement best practices in SAP development.
• Provide technical guidance, mentor junior developers, and participate in design workshops.
• Stay updated with SAP’s latest technologies, including SAP BTP, AI/ML integration, and automation tools.
• Troubleshoot and resolve production issues, ensuring smooth system performance and user experience.
• Conduct Proof of Concepts (POCs) to evaluate new technologies and solutions for business applications.
• Build automation scripts using different automation tools like Playwright.

What you bring:

• Bachelor's Degree in Information Technology, Computer Science, Engineering, or related field.
• Minimum 10+ years of professional experience in SAP ABAP development, including at least 5+ years in SAP S/4HANA.
• Minimum 4+ years of experience in SAP Fiori/UI5 development for SAP S/4HANA.
• Minimum 2+ years of working experience as software developer in AI focused cloud application development.
• Good Experience in REST/oData API creation and consumption is beneficial
• Strong expertise in OData services, SAP Gateway, and SAP Business Application Studio.
• Experience in integration with SAP modules such as FI, BRIM, RAR
• Expertise in SAP BTP, cloud-based development, and integration capabilities.
• Familiarity with agent frameworks (ReAct) and CI/CD tools (JIRA, Git, Jenkins).
• Proficiency in Python and experience with AI frameworks.
• Proven track record in building, fine-tuning, and deploying Large Language Models, LangChain, LangGraph, and related GenAI technologies.
• Exposure to Solution Manager, Change Management (CHARM)/CALM, and Focused Build is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work in an Agile environment and collaborate with global teams.
• Certification in SAP S/4HANA, SAP Fiori/UI5 development, or SAP BTP is an added advantage.

Mandatory Skills:

•   SAP ABAP Development:
•   Strong experience in ABAP development, including Object-Oriented ABAP (OOABAP), BADI, BAPI, ALV, IDOCs, and Enhancements.
•   Expertise in developing CDS Views, AMDP, and using RAP for Fiori applications.
•   SAP FIORI/UI5 Development:
•   Strong hands-on experience with SAP UI5, JavaScript, CSS, HTML5, and jQuery.
•   Experience in SAP Business Application Studio and Web IDE.
•   Proficiency in Fiori Design patterns, UX principles, and Theme Designer.
•   Expertise in Fiori Launchpad configuration and customization.
•   SAP Gateway and OData Services:
•   Strong knowledge of SAP OData framework and troubleshooting SAP custom/standard OData services.
•   Experience in CDS-based OData services and annotations.
•   Deep understanding of MVC architecture.
•   Integration and Performance Optimization:
•   Experience with RESTful APIs, SOAP, and SAP integration technologies.
•   Strong expertise in SAP BTP, Joule, CAP, and Mobile Development Kit (MDK).
•   Experience in performance tuning of UI5 applications and backend queries.
•   Additional Skills:
•   Knowledge of Python, Java, and AI technologies(Joule, MicroApps, Agentic AI) for SAP-related innovations.
•   Expertise in SAP BTP for cloud-based solutions, integration, and extensibility.
•   Experience in conducting Proof of Concepts (POCs) to explore and validate new technological solutions.

#LI-VG1

#LI-Hybrid

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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).

Role Overview

We are seeking a Staff Technical Program Manager to own the cross-team delivery machinery for a 20-person AI native engineering organization. This is not a project coordination role — it is a technical program ownership role.  You will maintain the master delivery plan across two Scrum teams and shared resources, track and resolve  
cross-team dependencies (platform teams, ARC backend, OEM integrations), manage risk before it becomes a miss, and create the delivery transparency that allows Engineering, Product, and Executive leadership to make fast, informed decisions. The best TPMs are invisible when things go well and indispensable when they don't. 

Key Responsibilities 

• Own the master delivery plan: maintain the integrated roadmap across both Scrum teams, shared resources (Architect, ML, SDET), and external platform dependencies — with milestone-level clarity at all times.  
• Track and resolve cross-team dependencies: Agentic Engine, Core Platform (Temporal, MCP Gateway, Component Framework), ARC backend (Kafka event contracts, API dependencies), Design (component specs), and external vendors (email/SMS providers).  
• Run the delivery rhythm: sprint review calendar, cross-team sync cadence, dependency review meetings, and risk escalation forums — keeping the Director and VP Engineering informed without burying them in status updates.  
• Identify, quantify, and manage delivery risks: surface blockers early, drive resolution with urgency, and maintain a live risk register with mitigation owners and timelines.  
• Own cross-team technical communication: translate engineering status into language that Product, Business, and Executive stakeholders can act on — and translate business urgency back into engineering trade-off decisions.  
• Drive the release process: define release criteria, coordinate go/no-go decisions with Engineering, QA (Staff SDET), and Product, and manage production deployments across services.  
• Manage the dependency interface to the T1 Agentic Engine team: track which Intent, Skill, Policy, and MCP tool registrations are ready, which are blocked, and what the critical path impact is.  
• Continuously improve the delivery system: identify bottlenecks in the engineering process, drive retrospectives, and implement changes that sustainably increase throughput and quality.

Skills & Qualifications 

• 12+ years of technical program management experience, with at least 3 years at Staff level managing multi team programs at SaaS or platform companies.  
• Strong technical depth: able to read architecture diagrams, understand Kafka dependency graphs, evaluate API contract blockers, and participate credibly in engineering design discussions.  
• Proven experience managing complex, multi-team delivery programs with many external dependencies — including platform dependencies outside your direct control.  
• Expert facilitation of engineering delivery rituals: sprint planning, dependency reviews, release gates, post mortems, and architecture syncs.  
• Deep understanding of AI-native product delivery: what makes AI system delivery different from traditional software (eval requirements, model versioning, non-deterministic outputs, golden dataset dependencies).  
• Excellent written communication: can produce a crisp, executive-readable status update that tells the truth clearly and drives decisions.  
• Strong stakeholder management across Engineering, Product, Design, and Executive levels — comfortable managing up, across, and down.  

 
Good to Have  

• Experience managing delivery programs that involve both Java microservices and Python AI/ML engineering teams simultaneously.  
• Familiarity with agentic AI platform concepts: intent registries, MCP tools, skill/policy authoring, and eval frameworks — enough to track technical dependency status accurately.  
• Background in automotive retail technology or dealer management systems.  
• Prior experience working in a US-India distributed engineering organization.  
 

About the Role

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.

As a Senior Customer Engineer, you own the technical customer relationship end to end. You run discovery independently, design integration and agentic workflow architectures for complex enterprise problems, and deploy solutions live with customers — often before they know exactly how to articulate what they need. You write optimized, production-grade code at speed, grounded in strong data structures and algorithms fundamentals, because compressing the time from customer problem to working solution is how FDE delivers its value. You bring genuine innovation to hard problems — your solutions are technically sound, elegant, and often non-obvious. You are the primary technical contact for 2–4 major enterprise accounts, you mentor FDEs on the team, and you are building the skills that will take you into Staff-level technical leadership.

What You'll Do

• Own complex integration and AI agent implementations end-to-end — from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts
• Design integration architectures with explicit attention to error handling, retry logic, observability, failure recovery, and multi-system authentication
• Design and deploy agentic AI workflows that orchestrate supply chain operations — from requirements through production, including regression testing and validation before each customer deployment
• Deploy AI agent workflows live with customers present — configuring and troubleshooting in the room during customer calls, not gathering requirements to build later
• Run customer discovery sessions independently — hear a business problem and propose a technically credible, innovative solution on the spot without IM or management support
• Use Claude, OpenAI, and other LLMs across the entire workflow — capturing requirements, designing integrations, generating integration specs, writing code, testing and deployment; the expectation is LLM-assisted work at every stage, not just at the keyboard
• Represent FourKites from a technical lens during presales engagements — articulate integration architecture, agentic workflow capabilities, and platform extensibility to prospective enterprise customers alongside the Solutions and Sales teams
• Join scoping and strategic customer calls alongside the SCA team to tackle the highest-complexity technical and product questions — come in with a point of view, not just answers
• Perform code reviews on integration and AI workflow work from FDEs and enforce quality standards before deployment
• Mentor FDEs — pair on hard problems, review their work consistently, and take accountability for their growth
• Identify reusable integration patterns and AI workflow templates and formalize them for the team library
• Scope and estimate level of effort for projects accurately and hold yourself accountable to those estimates
• Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes
  
  

What We're Looking For

• 5–8 years of software engineering experience, with meaningful depth in integration engineering, system design, or a customer-facing technical role — what matters is the complexity and ownership of what you have built
• Strong proficiency in Java (required) and one or more of: Python or Ruby - writes clean, production-grade code with test coverage, clear design rationale, and a standard other engineers can follow
• Strong foundations in data structures and algorithms — designs systems that perform at scale, reasons about complexity tradeoffs under pressure, and makes the right architectural call for high-throughput, low-latency integration scenarios
• Strong software design skills — architects integration and AI workflow systems that are modular, resilient, observable, and built to evolve; can articulate the design, defend the tradeoffs, and produce a diagram that makes it legible to others
• Writes optimized code at speed — takes a customer problem from discovery to deployed solution faster than traditional development cycles; the ability to compress the build cycle without compromising quality is what enables customers to move faster
• Innovative problem solver — brings genuine creativity to hard integration and AI workflow challenges; finds approaches that are technically sound, elegant, and often non-obvious; complexity doesn't slow you down, it sharpens your thinking
• Deep expertise in enterprise integration patterns and how to apply them across complex, multi-system — knows when to apply which approach and can justify the tradeoffs
• Hands-on experience designing and deploying agentic AI workflows end-to-end using LangGraph or equivalent — not configuring templates, architecting systems
• Uses Claude, OpenAI, or equivalent LLMs across the full workflow — requirements documentation, integration design, spec generation, code generation, testing and deployment; treats LLMs as a core engineering capability, not a productivity shortcut
• Proven ability to run technical discovery sessions with enterprise customers independently and translate ambiguous business requirements into concrete technical specs
• Comfortable deploying agentic workflows live in a customer call — handles configuration, troubleshooting, and edge cases in the moment
• Strong SQL proficiency — writes queries to investigate customer data issues and validate integration output

Preferred Qualifications

• Experience in supply chain, logistics, transportation, or B2B SaaS platforms is a strong plus
• Deep familiarity with enterprise integration patterns and a track record of applying them to complex, multi-system enterprise environments
• Familiarity with EDI standards, carrier integrations, TMS/WMS systems, and supply chain data flows
• Experience with low-code/no-code workflow automation platforms such as Pipedream, n8n, Temporal, or equivalent
• Snowflake experience and familiarity with large-scale data investigation across multi-tenant environments
• Proficient with Lucidchart, Miro, draw.io, or similar tools to document and communicate integration architectures and agentic workflow designs visually — customers and internal stakeholders should be able to read your design without needing to ask what it means

Background working in a Forward Deployment, Field Engineering, or similar customer-embedded technical role


Who we are:

FourKites®, the leader in AI-driven supply chain transformation for global enterprises and pioneer of advanced real-time visibility, turns supply chain data into automated action. FourKites’ Intelligent Control Tower™ breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery — helping 1,600+ global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration.

FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to generous PTO and standard holidays. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. We're always listening for new ways to support everyone in and out of the office. 

Benefits

• Medical  benefits start on first day of employment
• 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days 
• Home Office set ups and Technology reimbursement
• Lifestyle & Family benefits 
• Mental Wellness support and guidance 
• Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)

FourKites is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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).

Job Description : 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

• 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

We’re ideally looking for someone who is comfortable across the entire stack and can take ownership of feature delivery from design to deployment. The ideal candidate should have:

• 5+ years of experience with Python and FastAPI (async programming)
• Experience with Redis caching patterns and cache invalidation strategies
• Experience with event-driven architectures (Pub/Sub, SNS/SQS, or similar message brokers)
• Familiarity with SQLAlchemy ORM and relational database patterns
• Experience writing comprehensive test suites (pytest, integration testing)
• Comfortable with REST API design and microservices communication patterns
• Experience with AI-assisted development tools (Cursor, Copilot, Claude Code)
• Experience with Git and CI/CD pipelines

Nice to Have

• Experience with Strapi CMS or similar headless CMS platforms
• Experience with both GCP and AWS cloud services
• Familiarity with i18n patterns (locale handling, translation key management)
• Experience in Java and typescript

Job Description: 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

Summary: We are seeking a Lead Software Engineer (LSE) to drive the design and evolution of our cloud-native platform. This role is responsible for owning end-to-end platform capabilities, shaping architectural direction, and ensuring high standards of scalability, reliability, and developer experience. As a Lead Engineer, you will operate at the intersection of architecture, execution, and team leadership, working across squads to build cohesive and future-ready platform solutions.

Responsibilities:

• Develop platform features to the highest engineering standards with an AI-first mindset.
• Spike robust solutions to clear architectural runway ahead of platform feature development.
• Take personal responsibility for the overall technical performance of the team, including capabilities, quality, stability, and velocity.
• Perform code reviews focusing on code quality, design, and implementation.
• Regularly identify opportunities for code refactoring and performance optimizations, and champion these efforts within the team.
• Mentor junior software engineers by sharing best practices and providing guidance on proficiency.
• Identify technical constraints to engineering effectiveness and lead initiatives to address them.
• Advise product management on technical opportunities and constraints.
• Identify, understand, and implement technology trends and innovations relevant to the Appian Platform.
• Effectively communicate technical designs verbally, visually, and in writing for technical audiences of all sizes.
• Contribute to Appian's long-term documentation by publishing relevant, high-quality content to the Engineering's technical documentation site.

Required Skills:

• 12+ years of proven experience as a Lead Engineer with a strong focus on AWS.
• Deep hands-on experience with AWS services including EC2, Auto Scaling, EKS, ECS, Lambda, VPC, ALB/NLB, Route 53, PrivateLink, EBS, EFS, S3, IAM, KMS, and Secrets Manager.
• Experience with programming languages such as Java, Python, or GoLang.
• Strong proficiency in Infrastructure as Code using Terraform or any equivalent.
• Strong proficiency in Kubernetes.
• Experience with implementing and managing logging and monitoring solutions such as CloudWatch and CloudTrail.
• Demonstrated ability to track, analyze, and optimize AWS cloud costs.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Summary: We are seeking a Lead Software Engineer (LSE) to drive the design and evolution of our cloud-native platform. This role is responsible for owning end-to-end platform capabilities, shaping architectural direction, and ensuring high standards of scalability, reliability, and developer experience. As a Lead Engineer, you will operate at the intersection of architecture, execution, and team leadership, working across squads to build cohesive and future-ready platform solutions.

Responsibilities:

• Develop platform features to the highest engineering standards with an AI-first mindset.
• Spike robust solutions to clear architectural runway ahead of platform feature development.
• Take a high degree of personal responsibility for the overall technical performance of the team, including capabilities, quality, stability, and velocity.
• Perform code reviews that provide feedback not only on code quality but also on design and implementation.
• Identify opportunities for code refactoring and performance optimizations regularly and champion these efforts within the team.
• Mentor junior software engineers by sharing best practices and providing guidance on becoming more proficient.
• Identify technical constraints to engineering effectiveness and lead initiatives to address them.
• Advise product management on technical opportunities and constraints.
• Identify, understand, and bring to fruition technology trends and innovations relevant to Appian Platform.
• Effectively communicate technical designs verbally, visually, and/or in writing for small to large-sized technical audiences.
• Contribute to Appian's long-term documentation by publishing relevant, high-quality content to Engineering's technical documentation site.

Required Skills:

• 12+ years of proven experience as a Lead Engineer with a strong focus on AWS.
• Deep hands-on experience with AWS services including Compute (EC2, Auto Scaling, EKS, ECS, Lambda), Networking (VPC, ALB/NLB, Route 53, PrivateLink), Storage (EBS, EFS, S3), and Security (IAM, KMS, Secrets Manager).
• Experience with Java, Python, or GoLang programming languages.
• Strong proficiency in Infrastructure as Code - Terraform or any equivalent.
• Strong proficiency in Kubernetes.
• Experience with implementing and managing logging and monitoring solutions (e.g., CloudWatch, CloudTrail).
• Demonstrated ability to track, analyze, and optimize AWS cloud costs.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Appian’s Information Security department is currently seeking a Senior IT Engineer eager to be hands-on and involved in many different areas of  responsibility. . As a Senior IT Engineer, you’ll also collaborate with infrastructure technology peers and handle business solutions for the company’s network infrastructure. The ideal candidate should have a track record of using a diverse set of technologies to achieve business goals.

Required Experience:

• 6 - 9 years In-depth understanding of networking protocols, technologies, and concepts (TCP/IP, VLANs, routing, switching, subnetting, etc.)

• Experience designing, implementing and maintaining wireless infrastructure. Troubleshooting wireless related issues, optimizing coverage, capacity and wireless performance. 

• Strong knowledge and hands-on experience with RADIUS, IDPs (e.g., SAML, OAuth, OpenID Connect), LDAP, and other AAA-related protocols and systems.

• Understanding of security principles, including multifactor authentication (MFA), encryption, and vulnerability management.

• You have experience with scripting and automation tools that manage network and infrastructure configuration changes (preferably using source control)l. Automating your way out of a repetitive task is second nature. Familiarity with languages such as Python and IaC or infrastructure automation systems such as Ansible and Terraform are a significant plus.

• Experience with network monitoring and troubleshooting tools.

• You have an ability to approach problems from unconventional angles, offering unique perspectives

• You have a forward-thinking mindset, forecasting potential problems and following developing technological trends

• A BS in Computer Science or related field/degree or equivalent experience

Responsibilities:

• Plan and lead LAN, WAN, network security, and systems projects across diverse technology platforms including multi-vendor wired (enterprise switches, routers and firewalls) and wireless networks, VPNs, VOIP, etc across a hybrid global infrastructure footprint.

• Internal certificate and certificate authority management. Configuring and managing radius server in a High Availability (HA) environment

• Designing and implementing global wireless Infrastructure. Managing and maintaining tools to enhance wireless performance

• Managing, implementing, and integrating RADIUS, IDPs, LDAP, and other AAA-related protocols and systems.

• Leverage both cloud (AWS, Azure, GCP) and physical network/compute infrastructure to find creative solutions to complex problems

• Automate cloud infrastructure deployment and management using Infrastructure as Code (e.g. Terraform, CloudFormation) and scalable automation tools such as Ansible

• Respond to and resolve emergent problems across our diverse enterprise systems, from the physical layer to the application layer

• Utilize best practices based on various frameworks (e.g. ITIL, ISO, SOC, PCI) and support internal and external audit activities

• You’ll use the know-how and discerning standards you’ve acquired over years of experience to recommend emerging technologies to keep our network modern, innovative, and secure

• Collaborate with teams of fellow tech gurus and play an integral part of network and systems design, architecture and administration

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.

Summary: We are looking for a Senior Software Engineer (SSE) to join our Platform Engineering team. This role focuses on building scalable platform capabilities, improving developer experience, and driving operational excellence across cloud-native systems. As an SSE, you will contribute to the design and development of platform components, work closely with architects and lead engineers, and play a key role in ensuring high-quality, reliable, and efficient platform solutions.

Responsibilities:

• Design and develop platform features with a focus on scalability, reliability, and reusability.
• Contribute to implementation of platform capabilities such as self-service infrastructure, deployment automation, and service configuration systems.
• Collaborate with Lead Engineers and Architects to translate high-level designs into working solutions and provide feedback on feasibility and trade-offs.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Participate in code reviews and incorporate feedback to improve code quality.
• Troubleshoot production issues and contribute to root cause analysis and resolution.
• Contribute to improving system performance, reliability, and developer experience.
• Support and enhance observability, monitoring, and alerting systems.
• Assist in identifying and addressing technical debt.
• Contribute to automation initiatives to improve team productivity.

Required Skills:

• 6–9 years of software engineering experience, with strong exposure to cloud-native platforms.
• Solid hands-on experience with AWS, including Compute (EC2, Auto Scaling, EKS/ECS, Lambda), Networking (VPC, ALB/NLB, Route 53), Storage (EBS, EFS, S3), and Security (IAM, KMS, Secrets Manager).
• Strong programming skills in Java / Python / Go.
• Proficiency in Infrastructure as Code (Terraform or equivalent).
• Hands-on experience with Kubernetes (deployment, troubleshooting, scaling).
• Experience with CI/CD pipelines and deployment automation.
• Familiarity with observability tools (e.g., CloudWatch, logging, monitoring systems).
• Good understanding of distributed systems and microservices architecture.
• Exposure to cloud cost optimization practices is a plus.
• Strong debugging and problem-solving skills.

We are looking for a Senior Software Engineer (SSE) to join our Platform Engineering team. This role focuses on building scalable platform capabilities, improving developer experience, and driving operational excellence across cloud-native systems.

As an SSE, you will contribute to the design and development of platform components, work closely with architects and lead engineers, and play a key role in ensuring high-quality, reliable, and efficient platform solutions.

Required Skills

• 6–9 years of software engineering experience, with strong exposure to cloud-native platforms.
• Solid hands-on experience with AWS, including:
• Compute: EC2, Auto Scaling, EKS/ECS, Lambda
• Networking: VPC, ALB/NLB, Route 53
• Storage: EBS, EFS, S3
• Security: IAM, KMS, Secrets Manager
• Strong programming skills in Java / Python / Go.
• Proficiency in Infrastructure as Code (Terraform or equivalent).
• Hands-on experience with Kubernetes (deployment, troubleshooting, scaling).
• Experience with CI/CD pipelines and deployment automation.
• Familiarity with observability tools (e.g., CloudWatch, logging, monitoring systems).
• Good understanding of distributed systems and microservices architecture.
• Exposure to cloud cost optimization practices is a plus.
• Strong debugging and problem-solving skills.

Responsibilities

• Design and develop platform features with a focus on scalability, reliability, and reusability.
• Contribute to the implementation of platform capabilities such as:
• self-service infrastructure
• deployment automation
• service configuration systems
• Collaborate with Lead Engineers and Architects to:
• translate high-level designs into working solutions
• provide feedback on feasibility and trade-offs
• Write clean, maintainable, and well-tested code following engineering best practices.
• Participate in code reviews and incorporate feedback to improve code quality.
• Troubleshoot production issues and contribute to root cause analysis and resolution.
• Contribute to improving system performance, reliability, and developer experience.
• Support and enhance observability, monitoring, and alerting systems.
• Assist in identifying and addressing technical debt.
• Contribute to automation initiatives to improve team productivity.

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.

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.