Automation Engineer

We are seeking an experienced Automation Developer to design, develop, and enhance automation solutions that support IBM MQ Queue Manager migration initiatives. The role focuses on integrating AI-powered automation tools with existing migration platforms and processes to create a unified, scalable, and end-to-end migration framework.

The ideal candidate will possess strong software development, scripting, and automation expertise, combined with experience in enterprise infrastructure, DevOps practices, and IBM MQ technologies.

Key Responsibilities

•           Design and develop automation solutions supporting IBM MQ migration activities.

•           Integrate multiple automation tools, scripts, and workflows into a unified migration framework.

•           Develop and maintain Python, Shell, and PowerShell automation scripts.

•           Create APIs and connectors to enable seamless orchestration and tool integration.

•           Automate migration discovery, assessment, execution, validation, and reporting processes.

•           Implement AI-assisted automation capabilities to improve migration efficiency and decision-making.

•           Develop reusable automation components and frameworks to support future migration initiatives.

•           Collaborate with MQ administrators, solution architects, infrastructure teams, and business stakeholders.

•           Troubleshoot and resolve automation-related issues across migration projects.

•           Develop and maintain technical documentation, deployment guides, and operational runbooks.

•           Support CI/CD pipeline implementation and automated deployment processes.

•           Ensure automation solutions adhere to enterprise security, compliance, and operational standards.

Required Technical Skills

Primary Skills

•           Python Development

•           Shell Scripting (Linux/Unix)

•           PowerShell Scripting

•           REST API Development and Integration

•           JSON/XML Data Processing

•           Git/GitHub Version Control

Automation & DevOps

•           Workflow Automation

•           Jenkins, Azure DevOps, or GitHub Actions

•           CI/CD Pipeline Development

•           Infrastructure as Code concepts

•           Ansible or Terraform (Preferred)

IBM MQ Skills

•           IBM MQ Queue Manager configuration and administration

•           MQ migration and deployment concepts

•           Queue Manager migration strategies

•           IBM MQ automation and scripting

Required Experience:

•           5+ years of experience in automation development.

•           Strong programming experience with Python and scripting technologies.

•           Hands-on experience designing and implementing automation solutions and APIs.

•           Experience integrating multiple automation tools into unified workflow solutions.

•           Solid understanding of software development life cycle (SDLC) and DevOps practices.

•           Experience working with enterprise infrastructure and middleware technologies.

•           Experience in Agile/Scrum delivery environments.

•           Exposure to AI-assisted automation technologies is highly desirable.

•           Prior experience with IBM MQ administration or migration projects is preferred.

Key Competencies:

•           Automation-first mindset

•           Software development and integration expertise

•           Problem-solving and troubleshooting skills

•           Strong analytical and critical-thinking abilities

•           Excellent communication and stakeholder management skills

•           Team collaboration and leadership capabilities

•           Continuous improvement orientation

•           Documentation and knowledge-sharing skills

Success Measures:

The successful candidate will be measured on:

•           Reduction in manual migration effort through automation.

•           Increased automation coverage across migration activities.

•           Successful integration of AI MQ Automation with existing migration tools.

•           Creation of a scalable migration framework supporting future migration programs.

•           Improved migration quality, consistency, and execution speed.

•           Reduced migration risks and operational issues through automation-driven processes.

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Essential Duties and Responsibilities:

• Build new automations in Python: API integrations, data pipelines, scheduled jobs, and process replacements scoped with operating partners.

• Maintain the existing Power Automate estate, both unattended cloud and desktop flows. Triage failures, repair flows, and keep unattended runs healthy on the bot-server farm. Operate the Power Platform space around them: environments, solutions, connection references, and pipeline-managed deployments.

• Migrate Power Automate flows to Python where the economics favor it. Retire flows rather than patching them indefinitely.

• Integrate systems over REST APIs. Handle JSON and XML transformation, authentication (OAuth, service principals), and error handling that survives flaky endpoints.

• Author SQL queries, tables, and stored procedures that support automations.

• Operate what you build. Instrument jobs with logging, monitoring, and alerting so failures surface before the business notices them. Write runbooks.

• Improve how automations run. Today they run as scheduled jobs on VMs. Help evaluate and move toward containerized or Azure-native execution (Functions, Container Apps) where it reduces operational load.

• Use AI coding tools as a core part of daily development, within company governance and review standards.

• Document what you build so the next engineer, or an operating partner, can understand and extend it.

Knowledge, Skills and Abilities:

• Python proficiency: clean scripting, packaging, error handling, structured logging, and enough testing to trust a job running unattended at 2 a.m.

• Power Automate strength across cloud and desktop flows: able to read, debug, and repair complex unattended flows built by someone else, plus the platform administration around them. You do not need to love the platform. You do need to support it capably, including solo coverage when other developers are out.

• REST API integration experience, including authentication patterns and rate-limit handling.

• SQL Server competence: comfortable writing T-SQL and authoring queries, tables, and stored procedures through a reviewed, versioned release process.

• Working knowledge of Azure: DevOps pipelines at minimum; Functions, Container Apps, or AKS exposure a plus.

• Daily fluency with AI-assisted development. You should be able to describe, in concrete detail, how you structure work with an agentic coding tool: what you delegate, what you review, where it fails, and how you catch it.

• PowerShell and shell scripting for glue work on Windows and Linux hosts.

• Production instincts: idempotent jobs, retries with backoff, alerting thresholds that page on real problems and stay quiet otherwise.

• Plain written and verbal communication. You will work directly with non-technical process owners who need to understand what an automation does and what to do when it stops.

Training and Experience:

• 3 to 5 years in automation engineering, RPA, or software engineering roles with automations shipped to production and operated afterward.

• A track record you can walk through: what you built, what broke, and what you changed.

• Demonstrated, current use of AI coding tools in real work. Candidates will be asked to describe their workflow in specifics; vague answers end the conversation.

Job Summary

We are looking for a Software Engineer with 3–5 years of experience in Python development, browser automation, Azure cloud technologies, and API development. The ideal candidate should have hands-on experience in building automation solutions, cloud-native applications, and backend services using Python while collaborating with cross-functional teams to deliver scalable and reliable enterprise solutions.

Key Responsibilities

* Design, develop, test, and maintain Python-based applications and automation solutions.

* Develop browser automation scripts for enterprise web applications using Python.

* Create robust and dynamic element selectors to handle changing web interfaces.

* Implement exception handling, retry mechanisms, logging, and monitoring in automation solutions.

* Develop solutions to handle authentication workflows and CAPTCHA scenarios where permitted.

* Build and maintain RESTful APIs using FastAPI or similar Python frameworks.

* Develop serverless applications using Azure Functions and integrate with Azure services.

* Design and implement integrations using Azure Logic Apps, Service Bus, Storage Accounts, and Key Vault.

* Deploy and manage applications using Azure Container Registry (ACR), Azure Container Apps, and Azure Container Instances (ACI).

* Configure and manage KEDA for event-driven application scaling.

* Develop and maintain frontend applications using React.js, Node.js, or similar modern JavaScript frameworks.

* Design and optimize database solutions using SQL Server, PostgreSQL, or Azure Cosmos DB.

* Troubleshoot production issues and implement permanent fixes.

* Participate in code reviews, testing, deployment, and release activities.

* Follow coding standards, security best practices, and application performance guidelines.

Required Skills

Python Development

* Strong experience in Python programming.

* Experience developing scalable backend applications and automation solutions.

* Experience with asynchronous programming and API integrations.

Browser Automation

* Hands-on experience in browser automation using Python libraries such as Playwright or Selenium.

* Experience creating dynamic selectors and handling dynamic web elements.

* Strong understanding of synchronization techniques, waits, retries, and exception handling.

* Experience implementing logging, monitoring, and debugging for automation solutions.

* Familiarity with CAPTCHA handling approaches and authentication workflows.

Azure Cloud

* Hands-on experience with Azure Functions.

* Experience with Azure Logic Apps.

* Experience using Azure Storage Accounts.

* Experience with Azure Service Bus.

* Experience with Azure Key Vault.

* Understanding of cloud-native application design and Azure security best practices.

Containerization & Deployment

* Experience with Azure Container Registry (ACR).

* Experience deploying applications to Azure Container Apps.

* Experience with Azure Container Instances (ACI).

* Experience configuring and managing KEDA for event-driven autoscaling.

* Familiarity with container-based deployments and application lifecycle management.

### API Development

* Experience building REST APIs using FastAPI or similar Python frameworks.

* Strong understanding of REST principles, JSON, authentication, and API integrations.

Databases

* Experience with SQL Server and/or PostgreSQL.

* Experience with Azure Cosmos DB.

* Ability to write efficient SQL queries and optimize database performance.

Frontend Development

* Experience with React.js, Node.js, or similar frontend technologies.

* Understanding of modern web application architecture and API consumption.

Additional Skills

* Experience with Git and version control.

* Strong debugging and analytical skills.

* Good communication and teamwork skills.

Preferred Skills

* Experience with OCR and document processing solutions.

* Experience with Azure AI or AI-based services.

* Experience with event-driven architectures.

* Experience working in Agile/Scrum environments.

* Experience with automation platforms such as UiPath is an added advantage.

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.

Responsibilities

· Design and build workflow automations that streamline operational and business processes across the technology environment

· Develop and maintain integrations between systems via APIs, supporting automated data flow and process handoffs

· Build and maintain Azure-based cloud infrastructure and services supporting automation and workflow tooling

· Write and maintain scripts and small applications to extend automation capability where off-the-shelf tools fall short

· Apply version control and CI/CD practices to automation code, ensuring changes are tested, reviewed, and deployed safely

· Contribute to technical and solution Design for new automation initiatives and process-improvement projects

· Apply AI tools and literacy to identify automation opportunities and accelerate development and troubleshooting

· Support monitoring/logging and QA/testing practices across automated workflows, escalating issues promptly

· Partner with operational and business stakeholders to identify manual, error-prone, or repetitive processes worth automating

Requirements

· 3 to 6 years of relevant Experience

· Experienced with Azure or another major cloud platform, comfortable operating and troubleshooting cloud-hosted services

· Hands-on Experience building workflow automations (e.g. via Workato, Power Platform, or comparable tooling)

· Solid understanding of APIs and system-integration patterns

· Programming or scripting proficiency (e.g. Python, JavaScript, C#) sufficient to build and extend automations

· Practical Experience with version control (e.g. Git) and CI/CD pipelines

· Working AI literacy - comfortable using AI-assisted tools to support development and process-improvement work

· Experience contributing to technical or solution Design for automation or process-improvement initiatives

· Exposure to monitoring/logging, QA/testing, or manufacturing/warehousing/operational systems is an advantage.

Candidates from other operational or automation environments are equally welcome

A practical, hands-on problem solver with a process-improvement mindset, who communicates well and can work independently

• Develop python-based automation for large data sets data analysis for vulnerability management reporting.
• Leverage machine learning in the process as required.
• Develop Prompts to automate test data extraction process from databases.
• Provide technical expertise through a hands-on approach to teams and projects.
• Experience with one or more general purpose programming languages including but not limited to: Java, Python, R or equivalent
• Experience and knowledge in designing, building, and deploying multi layered application Infrastructure involving On-premises & AWS Cloud platform using services BedRock LLM models.
• Handle design, definition, planning and development.
• 100% adherence to architectural and development best practices including the use of standard architectures, proper use of code management, document design and design artifacts and conduct design/code reviews.
• Create optimization plans to innovate, shift-left, and mitigate gaps.
• Apply cloud concepts and capabilities to deliver testing for cloud-hosted apps.
• Report succinct testing goals and results to the leadership.
• Train and educate various teams on SV ideas and expectations.
• Expand responsibilities to drive test data, test environment, and service virtualization strategies.

We need a senior, hands-on Ansible + Python automation expert to define automation standards, build scalable solutions, and act as the final technical authority for code quality and design. This is not just a developer role — it combines technical leadership, governance & standards ownership, and hands-on development.

We are looking for someone who has:

• Led or owned automation standards / frameworks
• Strong Ansible + Python development experience
• Experience reviewing/approving code or design
• Hands-on experience with CI/CD pipelines (GitHub Actions or similar)

We will not consider profiles with:

• Only scripting experience (no architectural/guidance role)
• No experience with Ansible at scale
• No exposure to code reviews / governance / standards
• Pure operations profiles without development depth

Ideal candidate positioning: Senior Automation Architect / Lead DevOps Engineer / Ansible Lead Developer

Interview mode: Face-to-Face only (mandatory)

Reporting: Day 1 reporting post offer, industrial sector site

 Job Description:

• Job title : Senior DevOps Engineer (On-Premises Automation)        
• Experience: 8+ years
• Location: Chennai / Pune / Hyderabad / Bangalore
• Shift: UK Shift
• Work Mode: Onsite (WFO)

Roles and Responsibilities:

• This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.              

Key Responsibilities:

• Lead secure and repeatable on-prem build provisioning pipelines
• Lead Jenkins CI/CD for automated on-prem provisioning and configuration.
• Create pipeline templates for VM/physical host, OS deployment, configuration, certification, and rollback.
• Embed hardened-image validation, scan gates, secrets handling, approvals, and audit evidence.
• Lead Ansible roles, PowerShell modules, test automation, and code reviews.
• Implement logging, monitoring, and root-cause analysis; support UAT and hypercare.       

Required Qualifications:

• 8–10 years in DevOps, platform engineering, or infrastructure automation.
• Bachelor’s degree or equivalent experience.
• Jenkins
• Git, CI/CD
• Ansible, PowerShell
• Python, IaC
• security scanning, secrets management
• Windows/Linux.

Job Title – Staff QA Automation Engineer

Location - India, Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.

Egnyte is looking for an experienced Staff QA Automation Engineer to join our team and work on some exciting projects. You should possess excellent communication skills in addition to the desired technical experience.

WHAT YOU’LL DO:

What You’ll Do (but is not limited to):

• Create automated processes to build Egnyte software packages which will be deployed in production environments
• Develop automatic tools to provision build/test environments on cloud infrastructure for hosting internal development and QA activities
• Prepare deployment solutions for QA, staging and production environments
• Create and maintain tools responsible for delivering on-premise services to customer (for example, on-premises server restart and software update)
• Contribute to the development processes, including enhancements to build procedures, test frameworks, verification tools and packaging
• Provide tools and automation workflows to increase software developer productivity
• Assist in defining the process models and tool sets to enable adoption of DevOps methodologies.

Your Qualifications:

• Experience with the Linux operating system, including configuration of subsystems such as storage, networking and file systems
• Strong knowledge of CI/CD tools such Jenkins, git, puppet, ansible, terraform and hands-on experience in implementing automated branching, build, test-automation and deployment pipelines
• Demonstrated abilities of writing and troubleshooting system level scripts in python and bash
• Familiarity with Linux packaging tools such as apt and automated package update mechanisms
• Familiarity with Windows OS internals and experience with QA automation on windows..
• Ability to work with multi-cultural, globally distributed teams to a common unifying product vision and closely coordinate with cross-functional teams in different time-zones.
• Passion to deliver enterprise-grade products to customers and to continuously work with engineering team to refine the product in the field.
• Experience on using AI tools to develop skills, hooks and scheduler

Education and experience:

• Bachelor’s degree in computer science, Computer Engineering or equivalent.
• Minimum 8 years industry experience as a software developer or quality engineer with enterprise software testing.

BENEFITS

• Competitive salaries
• Medical insurance and healthcare benefits for you and your family
• Fully paid premiums for life insurance
• Flexible hours and PTO
• Mental wellness platform subscription
• Gym reimbursement
• Childcare reimbursement
• Group term life insurance

COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hrategnyte.com. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hrategnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.

Job Description:

We are looking for an experienced Middleware Administrator with strong expertise in IBM WebSphere Application Server, Linux administration, Python scripting and Java application support. The candidate will be responsible for managing enterprise middleware environments, production support, troubleshooting, deployments and automation activities.

Key Responsibilities:

• Administer, build, configure, maintain and troubleshoot IBM WebSphere Application Server / WebSphere Liberty.
• Support Linux-based server infrastructure hosting critical enterprise applications.
• Monitor application server health, performance, capacity and availability.
• Perform platform upgrades, patching, configuration changes and system maintenance.
• Deploy and support enterprise applications across WebSphere environments.
• Investigate and resolve application, middleware and infrastructure issues.
• Provide production support and participate in on-call rotations.
• Develop and maintain operational documents, runbooks and support procedures.
• Perform application deployments and support CI/CD processes.
• Develop Python scripts for automation and operational improvements.
• Work with infrastructure automation and monitoring tools.
• Collaborate with application, infrastructure and development teams to resolve critical production issues.
• Follow incident, change and problem management processes.

Required Skills:

• 8+ years of overall IT experience.
• 3+ years of hands-on experience with IBM WebSphere Application Server or WebSphere Liberty.
• 3+ years of experience supporting Linux server environments.
• Strong experience in Python scripting and automation.
• Experience in Java application support.
• Good knowledge of IBM Middleware technologies.
• Experience with application deployment and CI/CD processes.
• Exposure to infrastructure automation and monitoring tools.
• Strong troubleshooting and production support experience.
• Good communication and stakeholder management skills.

About the Role

We are a 25-year-old company building toward a technology-centered workforce where AI agents and automation handle more of the day-to-day work, supported by people with specialized expertise.

We are automating our existing workflows, expanding our use of agentic AI, launching a sister company next year, and building a fleet of Hermes AI agents to delegate and manage work.

We are looking for a hands-on AI Systems Architect & Company Technology Lead to help build, connect, and continuously improve these systems.

Key Responsibilities

·       Own and improve our Microsoft 365 technology environment and AI-powered workflows.

·       Build automations connecting email, meetings, Planner, and other business systems.

·       Research, test, implement, and maintain AI tools and integrations.

·       Build and manage the Hermes agent fleet, including shared memory, delegation rules, workflows, and reporting.

·       Connect AI agents to business systems and SaaS platforms using APIs, webhooks, databases, and automation tools.

·       Help build an internal agentic marketing department by selecting and connecting the right AI tools.

·       Continuously troubleshoot, improve, and document our technology systems.

·       Help apply these systems as the company expands into new ventures.

Must-Haves

·       Strong technical problem-solving and self-teaching ability.

·       Solid hands-on experience building, configuring, and managing AI agents.

·       Experience connecting AI agents and multiple SaaS platforms using APIs, webhooks, databases, and automation tools.

·       Comfortable with Python, JavaScript, or similar.

·       Ability to independently research, build, test, troubleshoot, and improve systems.

·       Strong interest in AI, automation, and emerging technology.

This is a rapidly changing field therefore Direct experience working with actual Hermes agents is not required. However, hands-on experience working with AI agents is required.

What we need is someone who already understands the fundamentals of deploying AI agents, giving them instructions and tools, connecting them to other systems, and making them work reliably in a real business environment.

The Opportunity

This is an opportunity to help us discover and implement what is actually possible with AI today, and to lead the process of expanding workflows along with the rapidly advancing capabilities — this role is not only to implement a technology that has already been figured out.