Senior Implementation Engineer (B2B SaaS),

Senior Customer Onboarding Specialist

Location: Coimbatore

Employment Type: Full Time

Work Shift: US working hours - Mandatory

Job Description

RunLoyal is looking for an experienced and customer-focused Senior Customer Onboarding Specialist to lead the onboarding of new customers onto the RunLoyal platform. This is a senior, high-autonomy role responsible for owning the customer relationship after the sales handoff - evaluating fit against RunLoyal's Ideal Customer Profile (ICP), gathering business requirements, and translating them into a fully configured, validated portal. You will work closely with Development, Infrastructure, QA, and Support teams to ensure customers are set up correctly, while also mentoring junior onboarding team members and supporting Customer Success operations.

Key Responsibilities

• Serve as the primary point of contact for customers immediately after sales handoff through onboarding completion.
• Evaluate incoming customers against RunLoyal's Ideal Customer Profile (ICP) to confirm platform fit.
• Gather and document detailed business requirements through customer calls, discovery sessions, and follow-ups.
• Assess whether RunLoyal's platform can meet each customer's specific business needs, flagging gaps or limitations early.
• Translate requirements into a portal build plan and configuration workbook.
• Build and configure customer portals - services, pricing, staff roles, and booking workflows - based on documented requirements.
• Lead data migration efforts, including data cleaning, transformation, and CSV-based imports, for a smooth transition onto the platform.
• Validate completed portal configurations against requirements and run pre-go-live quality checks to catch errors before customers encounter them.
• Perform data sanity checks and spot-check migration outputs for accuracy before customer handoff.
• Own the most complex, high-value, or multi-location onboarding engagements end-to-end.
• Serve as an escalation point for onboarding-related fit, scoping, or configuration issues.
• Mentor and review the work of junior onboarding team members.
• Support Customer Success operations, including pipeline tracking, reporting, and post-go-live handoffs.
• Coordinate with Development, Infrastructure, QA, and Support teams to resolve onboarding-related issues.
• Maintain and improve onboarding documentation, templates, and internal processes.

Required Skills & Qualifications

• 3-4 years of experience in solution consulting, implementation, onboarding, or a customer-facing technical role (SaaS experience preferred).
• Strong requirements-gathering and discovery skills, with the ability to translate business needs into technical configuration.
• Sound, independent judgment on customer/ICP fit, with the ability to make and defend go/no-go calls with minimal oversight.
• Strong attention to detail with a QA mindset - able to catch configuration and data errors before they reach the customer.
• Proficiency in MS Excel / Google Sheets for configuration workbooks and data mapping.
• Excellent written and verbal communication skills, including with senior stakeholders.
• Strong organizational skills with the ability to manage multiple, high-complexity onboardings concurrently.

Preferred Qualifications

• Prior experience mentoring or reviewing the work of junior team members.
• Familiarity with the pet care services industry or other service-based SMBs.
• Familiarity with CRM or project management tools such as HubSpot, Intercom, Asana, or Notion.
• Experience working in a SaaS startup or scale-up environment.

Education

• Bachelor's degree in Engineering, Business, IT, or a related field.

Customer Onboarding / Tooling Engineer

About the Role

We are hiring a Customer Onboarding / Tooling Engineer with 4+ years of experience to manage end-to-end technical onboarding for enterprise customers on the Cloudflare platform. The role involves configuring networking and security services, troubleshooting onboarding issues, and ensuring customers achieve a successful go-live.

Location: Bangalore (5 Days Work From Office)

Experience: 4–8 Years

Employment Type: Full-Time

CTC: Up to ₹32 LPA

Shift: Rotational

Notice Period: Immediate / Up to 15 September 2026

Must-Have Skills

• Cloudflare
• DNS
• SSL/TLS
• CDN
• WAF
• Zero Trust / SASE
• Networking (HTTP/HTTPS, CIDR, NAT, BGP)
• REST APIs
• Python or Bash
• Salesforce / CRM

Key Responsibilities

• Execute end-to-end customer onboarding and platform configuration.
• Configure DNS, SSL/TLS, WAF, and Zero Trust policies.
• Troubleshoot DNS, SSL, authentication, caching, and networking issues.
• Guide customers through onboarding and implementation runbooks.
• Document onboarding activities in Salesforce/CRM and coordinate with Customer Engineering and Support teams.

Good to Have

• Terraform or Infrastructure-as-Code experience.
• Okta, Azure AD, SAML/OIDC integrations.
• Cloudflare certifications or production Cloudflare administration experience.

About EasyEcom

EasyEcom is a multi-product ecommerce operations platform for brands and 3PLs, spanning order and inventory management, warehouse operations, and built-in reconciliation and accounting, the capability that sets us apart from pure WMS platforms. We power 1,800+ brands and 3PLs across 12+ countries, with 455+ integrations, 5B+ orders processed, and $8.1B in GMV flowing through the platform at 99.9% uptime. Customers include Borosil, Relaxo, Swiss Military, and Kimirica, across North America, Europe, MENA, and Southeast Asia. We are backed by IndiaMART, and we are still building fast.

Roles and Responsibilities

● Manage the end-to-end onboarding journey for new clients.

● Understand customer business requirements and configure the platform accordingly.

● Conduct product demonstrations, onboarding sessions(configurations, integrations etc), and user training.

● Guide clients through implementation and ensure timely go-live.

● Resolve client queries and coordinate with the Internal teams whenever required.

● Build strong relationships with clients and ensure a positive onboarding experience.

● Track onboarding milestones and maintain accurate implementation documentation.

● Identify process improvements and share client feedback with internal teams.

● Ensure customers are confident using the platform before transitioning them to the Customer Success team.

● Travel across India as and when required for implementation and client meetings.

Preferred Qualifications

● Bachelor's degree in Business, Engineering, IT, or a related discipline. ● Prior experience with SaaS products, ERP, OMS, WMS, or eCommerce platforms will be an added advantage.

● Knowledge of marketplaces such as Amazon, Flipkart, Myntra, Shopify, or similar ecosystems is a plus.

End to end implementation of a B2B system. The role requires working with the clients who have been onboarded and see through the implementation of the system. Familiarity with python based frameworks like Frappe is desirable but not mandatory.

The role

A working product and a working deployment are two different things. You are the person who closes that gap.

You sit inside the client's head office. You get the deployment live, you get their teams using the dashboards, and you own whether the AI is returning something worth acting on. Every client is different: different languages on the floor, different store noise, different vocabulary for the same product, different CRM, different idea of what a good conversation looks like. The core platform does not change for each of them. You are the layer that makes it fit, and you are the one the client meets.

You are encouraged to spend time in stores. The engineers who do the best work here are the ones who have stood on a shop floor and watched where the pitch and the pipeline actually break. Nobody will make you go. You will also spend real time in the codebase, because you fix what you find rather than filing it.

What you build has a commercial edge to it. A pilot converts when the client sees the result they were promised, and an account grows when a second team inside it sees what is already sitting in their data. Both of those outcomes are yours to deliver, not somebody else's to chase.

How you will work

You design the deployment, you build it, and you own whether it holds up on a Saturday evening in a crowded store. Nobody hands you the plan, and nobody hands you the spec. You write both.

The decisions are yours. Which integration is worth the week, which vertical taxonomy needs building, what ships in the pilot and what waits, and when to tell a client that the thing they are asking for is the wrong thing to build. You go and find out what a client needs before anyone writes a line of code.

You will not be doing it alone. There are founders, AI engineers and product people around you, and they will build alongside you. What nobody will do is tell you what the client needs. That call is yours.

The work compounds if you do it well. What you learn on one deployment becomes a specification, then code, then a pattern the next one starts from. A year in, the deployments you designed should be running without you, and a new client should take a fraction of the time the first one did.

What you will do

Own the deployment end to end. Device provisioning, store connectivity, data flowing, first insight in front of the client. Get from kickoff to something real inside

the pilot window, and know by the halfway mark whether it is in trouble.

Get their HQ using it. A dashboard nobody opens is a failed deployment. Sit with the sales, marketing and L&D teams, show them what is in their own data, and

make sure the people who asked for this are actually looking at it every week.

Make the AI work on their floor. Their languages, their store noise, their product vocabulary. Benchmark transcription and speaker separation on their actual

audio, and fix what fails instead of explaining it away.

Build the vertical. Intent taxonomies, objection maps and prompt libraries for the category you are deployed into. A jewellery floor and an electronics floor do not

share a conversation model.

Wire it into their systems. CRM and POS integrations, so conversation data connects to what actually got sold and the insight can be checked against reality.

Build what the client asks for. Custom reports, dashboards and agents. Ground everything in source conversations and verify it before it ships, because a confident

wrong number costs an account.

Close the pilot. A pilot converts on results, not on effort. Know what the client agreed to judge this on, work backwards from it, and make sure the output in front of

their leadership at the end is the thing they asked for.

Grow the account. The same intelligence is worth something to marketing, L&D and category teams inside the same client. Spot which of them would benefit, show them what is already in their data, and hand a real opening to the account team.

Push it back into the product. Turn one-off client work into something the platform does by default, so the next deployment starts further ahead than this one did.

What we are looking for

Must have

• 0 to 5 years of experience. A consulting internship or an analyst role is the closest match to what this job actually asks for, but we care more about what you can do than where you did it
• Coding ability, ideally Python. Degree, internship, first job or your own projects. What we want to see is something you built that other people actually used
• Excel or Sheets at a real working level. A lot of the first conversation with a client happens in a spreadsheet before it ever happens in a dashboard
• The ability to explain a complicated idea simply. You will be taking AI output to people who do not think about models, and the explanation matters as much as the result
• Comfort at the boundaries. APIs, data pipelines, some frontend, some hardware when a device misbehaves
• An eye for where a deployment turns into more business, and the willingness to raise it yourself
• Heavy hands-on LLM usage. Prompts, evaluations, retrieval, and a clear view on where these tools break
• Fluent English and Hindi. A third Indian language counts for a lot, since the useful conversations happen on store floors and not only in HQ meeting rooms
• The instinct to go and find out what a client needs rather than waiting to be told

Good to have

Speech or audio work. Transcription, diarization, voice activity detection, or

anything that survives noisy real-world recording

Embedded or IoT experience, on ESP32 or similar

SQL and experience building things customers actually look at

Side projects, hackathons or internships where you shipped without a spec

and it worked

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

Implementation Engineer – Digital Evaluation System

Industry: EdTech / Higher Education

Experience: 8–12 Years

Location: Remote / Client Location (Travel as required)

Job Summary

We are looking for an Implementation Engineer to support the deployment and successful implementation of our Digital Evaluation System across universities and colleges. The role involves client coordination, system configuration, troubleshooting, training, and ensuring smooth implementation.

Key Responsibilities

• Implement and configure the Digital Evaluation System for universities and colleges.
• Coordinate with clients to understand their requirements and ensure successful deployment.
• Support system integration, configuration, testing, and troubleshooting.
• Conduct product demonstrations and training sessions for clients and users.
• Monitor implementation progress and resolve technical issues within timelines.
• Coordinate with internal Product, Development, and Support teams for issue resolution.
• Prepare implementation documentation, reports, and user guides.
• Travel to client locations for implementation, training, and support whenever required.

Requirements

• 8–12 years of experience in Software Implementation / ERP Implementation / Technical Support / EdTech.
• Experience working with universities, colleges, or educational institutions will be preferred.
• Good understanding of software implementation and troubleshooting.
• Basic knowledge of databases/SQL and APIs will be an advantage.
• Strong communication, coordination, and client-handling skills.
• Willingness to travel as per business requirements.

Compensation

Salary will be discussed based on your previous/current salary, experience, and interview performance.

Preferred Candidates

Candidates with experience in Education ERP, Digital Evaluation/Assessment Systems, Examination Management Systems, or EdTech products will be preferred.

Data Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 3-5 years

Role Overview  

What We’re Looking For:

• Bachelor’s degree in Computer Science/Engineering or equivalent experience required.
• Experience designing and shipping cloud services products.
• Experience driving and managing technical and architectural dependencies on AWS Cloud.
• A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory.
• Experience in building or maintaining ETL processes and tools, i.e., AWS Glue or any open-source tool.
• Proven system-level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering.
• Proven experience with S3, DynamoDB, SQL, and AWS RDS services.
• Proficiency in programming languages such as Python.
• Strong analytical and problem-solving skills.
• 
  

Required Skills & Experience

• Experience with Python, SQL, and data visualization/exploration tools.
• Familiarity with the AWS ecosystem, specifically S3, DynamoDB, and RDS.
• Communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Ability to work on a dynamic, research-oriented team that has concurrent projects.
• Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks.
• Experience developing solutions using infrastructure orchestration tools (SSM, automation account, Ansible, etc.).
• Excellent leadership, stakeholder management, and communication skills.

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

Data Engineer Short Hiring Post

🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

Job Description

We are looking for an experienced Data Engineer with strong expertise in Python, ETL, SQL, CI/CD, and DevOps to design, develop, and maintain scalable data pipelines and data processing solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Develop data processing solutions using Python.
• Write complex and optimized SQL queries, stored procedures, and data transformations.
• Build and maintain data ingestion and integration workflows.
• Implement data quality, validation, monitoring, and error-handling processes.
• Develop and maintain CI/CD pipelines for data engineering applications.
• Work with DevOps tools and practices for automated build, deployment, and infrastructure management.
• Collaborate with data analysts, data scientists, software engineers, and business teams.
• Optimize data pipelines for performance, reliability, and scalability.
• Troubleshoot production data issues and ensure timely resolution.
• Follow best practices for version control, code quality, testing, and deployment.

Mandatory Skills

• Python
• ETL
• SQL
• CI/CD
• DevOps
• Git / Version Control
• Strong problem-solving and debugging skills