AI & Automation Lead at Jugaad · Chennai · 1 - 5 years · ₹2.4L - ₹9.6L / yr · Bootstrapped · Posted 27 Nov 2025

IMP: Please read through before applying!
Nature of role: Full-time; On-site
Location: Thiruvanmiyur, Chennai
Responsibilities:
Build and manage automation workflows using n8n, Make (Integromat), Zapier, or custom APIs.
Integrate tools across JugaadX, WhatsApp, Shopify, Meta, Google Workspace, CRMs, and internal systems.
Develop and maintain scalable, modular automation systems with clear documentation.
Integrate and experiment with AI tools and APIs such as OpenAI, Gemini, Claude, HeyGen, Runway, etc.
Create intelligent workflows — from chatbots and lead scorers to content generators and auto-responders.
Manage cloud infrastructure (VPS, Docker, SSL, security) for automations and dashboards.
Identify repetitive tasks and convert them into reliable automated processes.
Build centralized dashboards and automated reports for teams and clients.
Stay up-to-date with the latest in AI, automation, and LLM technologies, and bring new ideas to life within Jugaad’s ecosystem.
Requirements:
Hands-on experience with n8n, Make, or Zapier (or similar tools).
Familiarity with OpenAI, Gemini, HuggingFace, ElevenLabs, HeyGen, and other AI platforms.
Working knowledge of JavaScript and basic Python for API scripting.
Strong understanding of REST APIs, webhooks, and authentication.
Experience with Docker, VPS (AWS/DigitalOcean), and server management.
Proficiency with Google Sheets, Airtable, JSON, and basic SQL.
Clear communication and documentation skills — able to explain technical systems simply.
Who You Are:
A self-starter who loves automation, optimization, and innovation.
Comfortable building end-to-end tech solutions independently.
Excited to collaborate across creative, marketing, and tech teams.
Always experimenting with new AI tools and smarter ways to work.
Obsessed with efficiency, scalability, and impact — you love saving time and getting more done with less.
What You Get:
A strategic and hands-on role at the intersection of AI, automation, and operations.
The chance to shape the tech backbone of Jugaad and influence how we work, scale, and innovate.
Freedom to experiment, build, and deploy your ideas fast.
A young, fast-moving team where your work directly drives impact and growth.

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Please note: this is a night shift role. The work runs on Canadian Pacific business hours, which means working nights from India. We are upfront about this because it has to suit your life.
About Nexa Consultancy
Nexa Consultancy Inc is a Surrey, British Columbia (Canada) based company that helps other businesses set up everything they need to run and grow: dashboards, CRM, automation, reporting and marketing. We run our own operations on GoHighLevel, n8n and Make.com and build the same systems for our clients. Because this is ongoing work for our clients, we are looking for long-term people who will grow with us, not short-term contractors. We are hiring a full-time, remote Automation Developer in India to own this stack end to end.
What you will do
- Build, maintain and document automations in n8n and Make.com (lead intake, follow-up sequences, appointment booking, WhatsApp and email notifications, reporting).
- Own our GoHighLevel setup: pipelines, workflows, custom fields, calendars, forms, funnels and integrations.
- Connect tools through REST APIs and webhooks (GoHighLevel, Google Sheets, Gmail, WhatsApp, Meta lead forms, Cloudflare Workers, AI APIs).
- Write small scripts and serverless functions (JavaScript or Python) where a no-code step is not enough.
- Monitor scenarios, fix failures fast, and keep an eye on run quotas and costs.
- Build dashboards and reports so the team can see leads, follow-ups and conversions without asking.
- Turn a plain-English request from the Director into a working, tested automation.
What we are looking for
- 2 to 5 years of hands-on automation or integration work, with real n8n and Make.com scenarios you can show.
- Solid GoHighLevel experience (workflows, pipelines, snapshots, API). Other CRMs are a plus.
- Comfortable with REST APIs, webhooks, JSON, OAuth and debugging failed runs.
- Working JavaScript or Python for custom code steps; SQL or Google Sheets formulas are a plus.
- Clear written English. You will document what you build and explain it to non-technical teammates.
- Self-directed. This is a remote role with a small team; you will own outcomes, not just tickets.
Nice to have
- Cloudflare Workers, Zapier, Airtable, Notion, WhatsApp Business API, Meta or Google Ads integrations, OpenAI or Claude APIs.
Work setup
- Full-time, remote, from India.
- Long-term role. We want someone who stays, learns our clients' businesses and grows with the team.
- Must overlap with Canadian Pacific Time business hours for part of each day; exact schedule agreed at offer.
- Your own laptop, reliable high-speed internet and a smartphone are required.
Compensation
- INR 1,00,000 to 1,50,000 per month, which is INR 12,00,000 to 18,00,000 per year, based on experience. We are hiring for 4 positions.
How we hire
- Short screening call, then a practical exercise (build a small n8n or Make.com scenario), then a final interview with the Director.
We are a UK-based ecommerce company looking for a hands-on AI Automation & Integrations Engineer based in India to work directly with the founder.
Our goal is to progressively build an AI-first ecommerce operation by using AI, automation, APIs and software integrations to reduce manual work, improve decision-making and identify opportunities to increase revenue and profitability.
This is not a traditional data science or prompt engineering role. We are looking for a builder who can understand real business problems and turn them into reliable working systems.
What you will work on
- Build AI-powered automations and internal tools
- Connect ecommerce platforms and business systems through APIs and webhooks
- Build AI agents and LLM-powered workflows
- Automate repetitive operational processes
- Work with Shopify and ecommerce data
- Build automated reporting, alerts and business intelligence
- Develop inventory forecasting and operational tools
- Integrate AI with customer service, marketing, fulfilment and other business systems
- Identify new areas where AI and automation can improve efficiency, revenue or profitability
- Maintain and improve existing automations
Required skills
- Strong Python experience
- Strong understanding of REST APIs and webhooks
- Experience building software integrations and automations
- Practical experience using LLM APIs such as Claude, OpenAI or Gemini
- Experience working with databases such as PostgreSQL
- Git/GitHub
- Strong problem-solving ability
- Good written and spoken English
- Ability to work independently and take ownership of projects
Highly desirable
- n8n
- Shopify Admin API
- GraphQL
- JavaScript/TypeScript
- AI agents
- LangGraph/LangChain
- MCP
- AWS/GCP
- Ecommerce experience
- Data extraction/scraping
- Customer service or marketing integrations
We value real projects and practical ability more than certificates.
Candidates should be comfortable showing examples of AI automations, integrations, agents or software systems they have personally built.
Location: Remote, India
Experience: 3-7 years
Salary: ₹15-22 LPA depending on experience
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
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.
Software Development Engineer
What you'll do
Be the dedicated engineer for one of our clients. Learn their business, find what to automate, and build it.
Build automations, integrations, and web apps on whatever the client runs business platforms like the Zoho suite, cloud services like Azure, and custom apps where needed.
Work with APIs every day: connect systems, move data, make tools talk to each other.
Own work end to end: hear the problem from the stakeholder, build the solution, ship it, demo it, support it.
Resolve client tickets and bugs fast. Keep their systems and data healthy.
Write things down: clear docs, clear updates, clear commit history.
What we're looking for
2–5 years shipping software that works and being able to read it, debug it, and stand behind it.
Strong with REST APIs and integrations between systems.
Happy working inside business platforms (Zoho, Salesforce, or similar). Much of the leverage in this role lives there, not in custom code.
You can sit in a call with a non-technical client, understand the real problem, and come back with a working solution.
Self-driven. You'll often be the only engineer on a problem.
Why you'll love this role
Full ownership from first call to delivery you run projects, not just a ticket queue.
Direct access to clients and leadership. Your decisions ship the same week.
Constant variety: new systems, new problems, new builds.
About Us:
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/
Role :
A Software Engineer who builds the tools this company runs on. You build agent loops, and the loops build the solutions. You work towards a Company Brain that anyone here can ask.3–5 years’ experience · Reports to the CFO ·
THE KEY SKILL
You build the agent loops that build the solutions. You will not write every automation by hand. You build the loops that
write them. Ship a prototype every week. You ship something every day.
You’ll be building a Company Brain with access control. One system that holds what the company knows about finance,delivery and people. Anyone can ask it a question. Each person sees only what they are cleared to see.
One hard filter. If you cannot write and debug production code, and have not done it before, please do not apply.
CORE RESPONSIBILITIES
• Work the backlog: You pick items off a live, ranked backlog. You learn each function by building inside it. There is no discovery phase. What you learn goes back into the backlog and changes what comes next.
• Build the product: You design, build and ship tools that people use every day. Reconciliation, MIS, the deal desk,quote to cash, or whatever the real bottleneck turns out to be. You choose the tools and frameworks.
• Wire the data: Connect the systems each team already uses, so that the same number means the same thing everywhere.
• Make it visible: You build live dashboards and alerts that leaders read on their own, instead of asking someone for a report.
• Keep it running: You own uptime and accuracy for everything you build. Anything that touches money or people needs a person in the loop.
THE STACK
• Build with: Python and TypeScript. You write production code. Frontier model APIs from Anthropic, OpenAI or Google, with tool calling and structured output. At least one agent framework. MCP to connect agents to internal systems.Postgres and pgvector, or something similar, for retrieval. You deploy on GCP, and you debug your own work.
• Work in agents daily: Claude Code, Cursor or something like them, as the way you write code every day. You should have a clear view on how to run the loop, and on when a person has to step in.
• Connect to: The systems we already run on for accounting, CRM, hiring and IT support, along with Google Workspace.Most of the work is getting them to agree with each other.
• Check what you ship: Anything that produces a number needs a way to catch it going quietly wrong. Test sets, regression checks, and alerts on the output as well as on the job.
WHAT GOOD LOOKS LIKE
• Something you built is running by week two, and someone is using it.
• By day 90, time spent on reconciliation or reporting is down by a number you can defend to the CFO.
• Every tool you ship has a named owner who is still using it 60 days later. That is the measure that counts.
• Leaders stop asking for numbers, because they can already see them.
• By the end of your first year, a first version of the Company Brain answers real questions about Finance, and each
person who asks sees only what they are cleared to see.
WHO THIS IS FOR
• You have built products: 3 to 5 years at a software product company, on a product with real users at scale. That means 100k+ monthly active users, or heavy daily use by a large enterprise customer base. You have owned code in production, in front of real users, long after it shipped.
• You ship alone: You are comfortable as the only engineer in the room, and the only person on call for what you built.
• You work out new ground fast: A domain you do not know is interesting to you. You start without waiting for a spec or an expert.
• You are fluent with agents: One person cannot cover a whole company by hand. You use agent loops heavily and youare good at it.
• You write and speak clearly: Half this job is pulling a process out of a finance or delivery lead and giving it back to them correctly. You work remotely, so this matters a great deal.
HOW WE WILL ASSESS
• A design problem: Live. We give you a function of the B2B company, and you design the system for it. We watch how you break down a domain you do not know, how you size it, and what you leave out on purpose.
• A build exercise: Live and screen-shared, on your own setup, with your own agents. You build the way you normally build. We watch how you run the loop, when you step in, and what you decide to skip.
• Your work and your questions: We talk about what you have shipped before. You ask us whatever you want.
Communication is not a separate round. All three sessions are live, and how clearly you explain your thinking is part of how we judge you.
WHERE IT LEADS
You report to the CEO and CFO from your first day. Your charter covers the whole company. Nothing sits between you and production. Very few engineering jobs offer all three at once, and that is why this one exists.
In 18 months you will know how this company really runs: the data, the money, and the gaps between teams. The rolethen changes shape to fit whatever the biggest open problem is by then.
Job Title: Full Stack AI Engineer
Location: Remote/Hyderabad
Experience Level: 3-5
Salary Range: 12-18LPA
Application Link:https://beyond.ciltriq.com/apply/BUILD
Description:
Join a team building AI-powered systems that solve complex business problems and automate operational workflows across document processing, voice agents, enterprise integrations, workflow automation, and multi-agent systems.
Strong full-stack foundations: frontend state management, asynchronous user experiences and performance; backend API design, authentication, data modelling, databases, queues and distributed systems.
Strong coding ability in Python and JavaScript or TypeScript, with practical experience in modern frontend frameworks and backend services.
Requirements:
- Design and build complete systems: frontend applications, backend services, APIs, databases, data pipelines and integrations with customer systems.
- Build multi-agent workflows with clear agent responsibilities, tool access, shared state, context management, routing, handoffs and coordination across sequential and parallel tasks.
- Make agent execution dependable through durable state, checkpoints, retries, timeouts, idempotency, recovery and human approval or review where needed.
- Deliver document-processing pipelines, voice agents and retrieval-based AI applications, connecting model outputs to useful actions in real business workflows.
- Own quality in production: automated tests, AI evaluations, guardrails, observability, access controls, deployments, incident response and clear documentation.
- Choose where AI adds value and where deterministic software is the better fit. Balance accuracy, latency, cost, security and maintainability.
- Improve reusable engineering foundations, review code and help other engineers grow as the team expands.
- A solid understanding of tool calling, structured outputs, retrieval, context and memory management, model selection and evaluation.
- Practical cloud and deployment experience, including containers, CI/CD, secrets management, logging, monitoring and production debugging.
- Ability to reason from first principles, investigate failures across system boundaries and communicate technical decisions clearly to customers and teammates.
- Useful additional experience: Document AI and OCR, real-time voice systems, enterprise integrations, agent protocols such as MCP, and orchestration frameworks.
- Useful additional experience: Mentoring engineers or building reusable platforms.
Apply and complete the screening questions on Just Interview:
https://app.justinterview.ai/apply/10004916?src=cutshort
Company: Lucid Growth Media
Website: https://lucidgrowthmedia.com/
Department: Engineering
Employment type: Full-time
Work mode: On-site
Job location: Shyamnagar, Jaipur, Rajasthan
Minimum experience: 3 years of professional experience
Maximum experience: 5 years of professional experience
Prior on-site development-team experience: At least 2 years
Monthly take-home salary: ₹40,000–₹60,000 — up to ₹60,000, based on demonstrated capability and relevant experience. The offer will include a salary breakdown.
Working schedule: Monday to Saturday; second and fourth Saturdays off. Sundays off.
Shift timing: 9:00 AM–6:00 PM (9-hour shift)
Application deadline: 30 September 2026
Skills: TypeScript, JavaScript, Node.js, React, Python/FastAPI maintenance, MCP, AI tool calling, REST APIs, low-code workflow integration, webhooks, SQL and Git.
Job description
Build useful integrations across application APIs, AI tools, workflow systems and user interfaces. You will combine TypeScript/Node.js and React development with MCP, tool-using agents and low-code workflows that include custom code.
You will work with a backend lead, an Android automation engineer and a browser automation engineer. The role includes improving existing interfaces, connecting reliable data to dashboards, and turning routine operational tasks into maintainable, observable workflows. Company-provided AI coding tools support development.
Responsibilities
- Build and improve TypeScript APIs, React interfaces and integrations with existing services.
- Maintain existing Python/FastAPI APIs and background jobs, with support from the backend lead on architecture and database changes.
- Implement MCP tools and agent workflows with defined inputs, permissions, failure handling and useful evaluation cases.
- Connect low-code workflows to APIs using webhooks, authentication and custom JavaScript or Python.
- Make workflows reliable through idempotency, retries, execution logs and clear recovery behaviour.
- Build curated analytics feeds and dashboards, checking that displayed results agree with source data.
- Improve selected slow or broken frontend journeys using profiling, tests and user-facing acceptance criteria.
- Document plans before implementation and attach verification evidence to completed tasks.
Required skills and experience
- Production TypeScript/JavaScript, Node.js, React and API integration experience.
- Working Python/FastAPI skills sufficient to diagnose, change and test existing APIs and asynchronous jobs.
- Hands-on experience shipping tool-calling AI features or MCP integrations, with the ability to explain authorisation and failure cases.
- Experience with at least one low-code workflow platform and writing the custom code needed around it.
- SQL/database fundamentals, authentication, webhooks and asynchronous processing.
- Practical testing, Git review, debugging and safe handling of credentials and sensitive data.
- Clear written English for specifications, prompts, task updates and review responses.
- Evidence of maintaining an integration after release and correcting problems based on feedback.
Experience with BI dashboards, incremental data feeds and agent evaluation is useful. You should be able to explain how a result was checked and when the system should report uncertainty or request human input.
How we work and hire
Work follows documented tasks, approval, implementation, review and verification. We value early escalation of blockers and honest reporting of results.
Selection includes a short AI-assisted initial interview, an approximately 60–90-minute practical using synthetic material, and an on-site technical discussion. Final hiring decisions include human review.
Engineer Business Process- K2
Company Name:Trelleborg
Company Website
Website: www.tss.trelleborg.com/tssindia
Location
Bangalore - Hosa Road
About Company
Company Profile
Trelleborg Sealing Solutions (TSS), a business area of Trelleborg Group is headquartered at Sweden, with manufacturing locations and marketing network across the world.
Trelleborg Group is world’s largest non-tire rubber supplier with presence in almost 40 countries and employing about 16700 people. 2022 worldwide sales figures stood at SEK 30 Billion (Euro 2.8 billion) in the 2 business areas (Trelleborg Industrial Solutions and Trelleborg Sealing Solutions).
Trelleborg Sealing Solutions is a leading global supplier of precision seals for the Industrial (No. 1 in Europe), Automotive (leading in specific niches) and Aerospace markets (No. 1 in Europe / No.2 in US). Vital Statistics are as follows:
➢ Sales: Over Euro 1473 M
➢ Employees: 9,500 approx
➢ Manufacturing in 44 Sites
➢ 62 Customer Solution Centers, 12 R&D, 2 Customer Innovation Center and 7 SCM Centers.
Trelleborg Sealing Solutions India was founded in 1978 as Rollon Bearings, joined the Trelleborg Group in 2005. The company with about 700 employees in manufacturing facility and marketing office (including 9 Home Offices) across India has been successful in creating strong footholds in the Sealing market of the country (Location Details on next page) and is recognised as the Leading Sealing Solution Provider in India.
It has its major customers in segments like Aerospace, Automotive, Railways, Industrial applications, Power, Agriculture, Life science etc.
The various benefits that these customers observe while partnering with TSS are:
- Product Quality and Value for Money
- Technical Acumen of the Application Engineering department that provides guidance for customised solutions.
- Local Technical Support to understand the customer needs in a better way.
- Systematic Logistic Management to support JIT and serve customer schedules with high level delivery performance.
- A world class manufacturing facility and streamlined imports, which enables a wide range of product portfolio.
Mode of Working
Hybrid Mode – 3 days from the office and 2 days from Home
Responsibilities
Summary - The Group Digital Services department comprises a Trelleborg (Sweden) and a Bangalore (India) team.
One of our main responsibilities is to help improve the efficiency and productivity of the business. We are now increasing our output and to meet delivery excellence goals, for our Bangalore team, we are currently looking for an Engineer - Business Process Automation.
The person suited for this role must have at least 3 years of IT background with at least 2 years of Business Process Automation experience specifically with Nintex Automation (K2 Five) that was highly exposed to an international business environment.
Responsibilities:
Project Delivery
- Own all aspects of development for the project - coding, code reviews, unit tests and code quality
Technology
- Demonstrate technical excellence and quality focus while working on sprint user stories by minimizing or eliminating bugs per user story delivered
- Work closely with the Specialist Engineer to resolve any technical impediments as soon as they arise
- Ensure the coding standards are followed and tech debt is eliminated in every sprint
- Drive the technical competency of the development area including tools, methods, frameworks, etc.
Process
- Experience working with Agile(Scrum) project team development methodologies
Quality
- Own deliverable quality from a development perspective for each sprint and release
- Responsible for production quality deliverables
Innovation
- Demonstrate commitment to innovation by actively learning and implementing new technical tools/methods/approaches and showcasing them to the team and other stakeholders
Continuous improvement
- Own and drive automation initiatives for efficiency improvements
Education and Experience:
- Bachelor’s/Master’s degree with Information Technology background or equivalent
- Required to have at least 2 years of Process Automation experience using Nintex automation (K2 Five)
- Required to have at least 3 years of experience in the Information Technology Industry
Competencies:
- Troubleshoot, diagnose & resolve customer issues independently, making use of the resources available
- Experience with Process Analysis, Design, and Implementation, Business and Technical requirements, Problem-Solving and Bug fixes
Must-Have skills:
- Good knowledge of SQL queries with join conditions
- Working knowledge on Nintex Automation (K2 Five) concepts
- Knowledge on Nintex(K2 Five) Management
Nice to Have Skills:
- Knowledge of programming languages such as C #, .Net or MVC Framework
Key Interfaces and Stakeholders:
- Effectively partner with Engineers, Specialist, Lead, Engineering Manager, Product Owner and Scrum Master as well as other parts of the Group Digital Services
- Perform other duties as assigned to meet the goals and objectives of the department
Behavioral Characteristics
- Excellent communication skills, both written and verbal. Fluent in English
- Strong analytical and problem-solving abilities
- Positive attitude, decisive but humble when needed, puts the team first
- Ability to take direction, constructive criticism, and work to specified deadlines
Company Overview:
Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.
Responsibilities
- Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
- Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
- Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
- Automate configuration and deployment tasks using Python (Ansible a plus).
- Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
- Write Shell and Python scripts to automate operations and reduce manual work.
- Manage Git workflows — branching, merge strategies, and pull request reviews.
- Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
- Troubleshoot deployment, performance, and infrastructure issues with development teams.
- Participate in on-call rotations and drive incident response.
- Continuously improve infrastructure resilience and deployment speed.
- Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.
Qualifications
Must-Have Skills
- Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
- OS: Windows administration (systemd, package management, log analysis).
- Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
- Source Control: Git — branching, merge/rebase, PR reviews.
- CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
- Containerization (Docker + ECS): Task definitions, services, and clusters.
- IaC: Terraform.
- Monitoring: New Relic.
- Scripting: Bash and Python scripting for automation.
- Networking Basics: DNS, load balancers, security groups, VPNs.
- Logging: ELK stack / CloudWatch Logs.
- Database: MSSQL administration — backups, restores, basic performance troubleshooting.
- Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
- AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.
Nice-to-Have Skills
• Configuration Management: Ansible.
• Additional IaC: CloudFormation.
• Architecture: Knowledge of microservices architecture.
• Cloudflare: DNS, CDN, WAF.
• Artifact Repositories: Nexus, JFrog Artifactory, ECR.
• Other CI/CD Tools: GitHub Actions.
• AWS cost optimization / FinOps awareness.
• Datadog, CloudWatch, or Prometheus/Grafana.
• AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).
• Database Basics: RDS backups, restores, performance tuning.















