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JD –

Having experience in Implementing Integration Solutions using Oracle Integration Cloud Service.

Developed integration between SaaS application (Oracle Cloud ERP, Oracle Cloud HCM) and between SaaS and PaaS application

Should have worked extensively on minimum 3-4 Technology Adapters like File, Database, Oracle ERP & FTP adapter

Should have excellent skill in Web Service technologies such as XML, XPath, XSLT, SOAP, WSDL, and XSD

Experience in all phases of software development lifecycle from gathering requirements to documentation, testing, implementation and support Ability to troubleshoot technical and configuration issues

Should be able to communicate effectively with the functional & technical groups and various technical team members.

Ensure completion of tasks, milestones, and components including Technical specifications, design specifications, configurations, quality assurance, implementations, and project reviews

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

Designation: - Sales Engineer/Sr. Sales Engineer

Job Function: - Technical Sales, Marketing & Product Promotion.

Products:- Products such as gas flow measurement and control products, mass flow meter, temperature controllers, pressure switches, temperature sensors, Flame Detectors, limit switches, photoelectric sensors, proximity sensors, burner controllers, mass flow controllers, temperature recorders

Customer Segment :- Automotive, Furnace Manufacturer, Machine Manufacturer

Sales Experience: - 5 to 8 Years

Desired Qualification: - Bachelor of Engineering or Diploma Degree holder.

Skills Required:- Product Knowledge, Presentation Skills, Technical Understanding, Good Verbal Communication.

Reporting to: - Reporting to Control Product Department’s head from Advance Automation Business Unit.

Areas of responsibility: -

·            Develop sales leads by identifying potential OEMs accounts; acquires new OEMs & extending Pre-Sales & Post-Sales Support.

·            Demonstrating a product & explaining salient features of the product for technical approval. 

·            Work with technical team to select the appropriate product to address the customer needs.

·            Working with various sales channels - OEMs, End Users, distributors etc.

·            New Customer Acquisition (Original Equipment Manufacturers-OEMs)

·            To Achieve the sales targets and goals assigned for your area.

·            To Keep the management informed about the sales activities to achieve the annual business target. 

At Fieldproxy, we’re building the next generation of AI-powered field service management solutions - software built with AI, assisted by humans with deep domain expertise. Our platform helps companies streamline operations, from scheduling and routing to customer engagement, by combining customizable templates with AI-driven automation.

We’re looking for an AI Product Specialist who can bridge the gap between our customers’ unique business needs and our AI-first platform capabilities.

Role Overview

As an AI Product Specialist, you will work closely with clients to understand their workflows, identify their requirements, and configure our platform to deliver tailored solutions. You’ll leverage existing LLM models, fine-tune them where needed, and ensure successful deployment of AI-powered features across client applications.

This is a highly cross-functional role, requiring strong communication skills, technical knowledge of AI/LLMs, and a customer-first mindset.

Key Responsibilities:

• Collaborate with clients to gather and analyze requirements for AI-driven field service solutions.
• Configure and customize the Fieldproxy platform using AI templates and builder tools.
• Work with large language models (LLMs) to fine-tune outputs and align them with client-specific needs.
• Partner with engineering and product teams to scope technical feasibility and drive implementation.
• Serve as a trusted advisor to clients, explaining AI capabilities in simple, actionable terms.
• Continuously test, validate, and improve AI workflows to ensure high-quality performance.
• Document configurations, best practices, and client solutions for scalability.

Requirements

• Hands-on experience with large language models (OpenAI, Anthropic, etc.) and fine-tuning approaches.
• Familiarity with prompt engineering, embeddings, and APIs.
• Strong problem-solving skills with the ability to translate customer requirements into technical solutions.
• Excellent communication and presentation abilities to engage both technical and non-technical stakeholders.
• Comfort working in fast-paced, startup-like environments.

Nice-to-Have

• Exposure to workflow automation platforms (Zapier, n8n, Make, etc.).
• Knowledge of databases (PostgreSQL preferred).
• Basic programming/scripting skills (Python, JavaScript)

What We Offer

• Opportunity to shape the future of AI in field service management.
• Work directly with cutting-edge LLM technologies and real-world enterprise use cases.
• A collaborative team of builders passionate about AI and customer success.
• Competitive compensation and growth opportunities in a rapidly scaling company

Pega Developer:

Total Yrs of Experience: 6 to 7

PEGA Experience: 6 years

Certification:

Must – CSSA or valid CLSA – part 1

Nice to have - CLSA

Job description:

Must

•            At least 6+ yrs experience in PEGA implementation

•            Hands on experience in OOAD, technical architecture definition

•            Working experience on database SQL programming , J2EE

•            Experience with BPM implementation methodology like SmartBPM, Scrum and onshore-offshore mode.

•            Experience with client facing management role at onsite/offshore

•            Experience with estimation

•            Experience with project planning, scheduling, risks/issues identification,

•            Experience in business development activities like proposal response, solution building, client presentation

•            Strong leadership and people management skill

Nice to Have

•            Knowledge on DSM, mobile Framework

•            Experience with App-server configurations, deployment in complex technical environment

•            PMP/Prince II certification

1. At least 3+ years of experience in Oracle ERP/Fusion SaaS/PaaS project implementations as a technical developer

2. Completed at least 1 ERP or Oracle Cloud (Fusion) project implementations

3. Extensive Knowledge on underlying database structure for ERP/Oracle Cloud (Fusion)

4. Extensively worked on BI Publisher reports, FBDI/OTBI and Oracle Integration Cloud (OIC)

5. Have strong technical knowledge on Oracle Database SQL and PLSQL

6. VBCS development experience is an added advantage 

Dear Jobseeker,

Hope you’re doing great!!!

I do have an urgent opening for the post of senior marketing executive in an e-Commerce company in Chennai, Please find the requirement below and do reach out with your updated resume 

Requirement:

• The ideal candidate should have min 3 Years of experience in Social Media/ eCommerce marketing.
• Looking for  candidate who can join in a week time max
• Must have strong communication & presentable skill with good Marketing skill & experience
• Should be able to adapt to an environment and team which forms right from scratch
• Looking for male candidate who can able to travel across south India for business generations

Job Responsibility:

• Will be responsible for handling the Marketing vertical for Ecommerce
• Generating new leads and bringing new clients in the vertical of Social Media & ecommerce
• Managing the existing & new clients and ensure the smooth operations across the unit
• Should be responsible for bringing a new business  
• You will be working along with a Management team for Business progress
• Open to travel across southern India for new business generation
• Must be strong in Negotiation & Lead generation

Thanks & Regards

Ramesh Kumar .K

ramesh.hr[at]samyes[dot]com

Automation Testing

• Lead end to end Testing Automation Process
• Design and implement efficient Testing practices
• Conduct Test case and Code reviews to ensure the quality of Test Cases, Test coverage and Automation Code
• Participate in Planning meetings and ensure quality at all levels of SDLC
• Provide estimations for Manual and Automation
• Provide Testing and Automation Strategy for newly developed Features
• Identify the right tool and set up the automation framework for UI, API, and unit level
• Increase Automation confidence by reducing random test failures
• Work closely with the Development team and ensures code is delivered with high code coverage
• Responsible for QA metrics and Automation ROI and report them to management
• Identify Performance Application Performance bottlenecks and suggest the right tool and test strategy for Non-Functional Testing
• Guide and Mentor QA Team on the Testing and Automation Tools, Frameworks and Process
• Measure and Investigate Defect Leakage and provide preventive measures
• Identify CI / CD tools, define branching strategies, setup CI / CD pipeline

Key responsibility:

• Seasoned Bonita Developer/Architect.
• Experience implementing BonitaSoft as the business process management tool for the client.
• Strong UI knowledge in Angular JS, Jquery
• Strong knowledge of BPMN 2.0 concepts
• Hands on experience using Bonita’s different platforms components such as:

1.              Bonita Studio
                Bonita BPM Engine
                Bonita Portal
                Bonita UI Designer

Solinas Integrity (www.solinas.in) is a leading water & sanitation robotics start-up founded by IIT Madras Alumni & professors to develop cutting edge solutions to solve the problems in water pipelines and sewer lines\septic tanks, thereby improving the lives of millions of people. Our core values start with trust, and respect for everyone and along with strong collaboration and communication. We believe in giving agency to our teammates and strongly pushing them towards developing a growth mindset.

Duties and Responsibilities:

• To develop and improve signal processing algorithms for analysis of acoustic signals with up-to-date knowledge on processing methods.
• Understand key acoustic algorithm functions, develop efficient code, verify performance and functionality.
• Exposure to all phases of software development life cycle (concept, design, implementation, test, and production).
• Propose innovations to improve performance, quality, etc.
• Work with peers to develop excellent, structured code, well-optimized and easily maintainable.

Basic Qualifications:

● Experience programming in either Python, C++, or MATLAB

● MS/PhD degree in Electrical/Electronics Engineering/ Signal processing

● At least 1 year of signal processing or related area

● Good analytical and problem-solving skills

● Good knowledge of signal processing techniques, basic knowledge of ML algorithms and good visualisation skills.