System Programmer

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Job Description: Implementation Manager / Solution Implementation Lead

(Tech + Customer-Facing Role)

About the Role

We are looking for an Implementation Manager who can bridge the gap between technology, product, and customer success. The ideal candidate should understand APIs, integrations, workflows, and product configurations while also being comfortable interacting with customers, conducting workshops, managing go-lives, and driving adoption.

This role is critical in ensuring smooth onboarding and successful deployment of the platform for Banks, NBFCs, and other enterprise clients.

Key Responsibilities

Customer Implementation & Onboarding

• Lead end-to-end implementation and onboarding for enterprise customers.
• Understand customer workflows, business requirements, and operational challenges.
• Conduct requirement gathering sessions, workshops, and solution walkthroughs.
• Configure product workflows, questionnaires, user journeys, and implementation setups.
• Coordinate pilot launches, UAT, production rollout, and post go-live support.

Technical Coordination

• Work closely with Product, Engineering, and AI teams for integrations and deployment.
• Understand APIs, JSON payloads, webhooks, LOS integrations, and workflow configurations.
• Assist clients with technical discussions around APIs, data flow, and integrations.
• Troubleshoot implementation issues and coordinate resolution across internal teams.
• Track dependencies, timelines, and delivery milestones.

Customer Communication

• Act as the primary implementation SPOC for customers.
• Conduct training sessions for business and operations teams.
• Translate technical concepts into simple business language.
• Provide regular project updates, MOMs, trackers, and escalation management.
• Build strong relationships with client stakeholders across business, operations, and technology teams.

Required Skills & Qualifications

Technical Understanding

• Basic understanding of APIs, integrations, JSON, workflows, and SaaS products.
• Ability to understand and explain technical concepts to non-technical users.
• Familiarity with implementation/project management tools and documentation.

Preferred Background

• 2–6 years of experience in:
• SaaS implementation
• Solution engineering
• Technical account management
• Product implementation
• Experience working with BFSI, FinTech, NBFCs, or enterprise SaaS is preferred.

Ideal Candidate Profile

• Tech-savvy but business-oriented.
• Can coordinate between customers and engineering teams effectively.
• Strong ownership mindset.
• Structured and process-driven.
• Comfortable traveling for client meetings/go-lives if required.
• Able to manage ambiguity in fast-growing startup environments.

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.

Strong enterprise sales executive profile

Mandatory (Experience 1):Must have 2+ years of selling B2B SaaS.

Mandatory (Experience 2): Must have 2+ of experience of selling to enterprise clients OR to manufacturing industry OR selling FinTech product, SAP Product sales/Finance ERP solutions (like invoice processing, vendor management, Source to pay, Compliance solutions).

Mandatory (Sales Skills):Must have experience in end to end sales from lead generation, prospecting, demos, proposal building, negotiation, and deal closure

Mandatory (Stability): Must have stable career history — no frequent job hopping

Mandatory (Note): Final round is F2F (client will handle the travel

Responsibilities

• Responsible for managing and driving a team of Virtual Relationship Managers (VRM) handling a portfolio of eligible customers in order to achieve the targets set and that all guidelines and regulatory requirements are followed. Ensuring that customers get world-class services and their needs are understood and met through financial products that the Bank has to offer.
• Consistently meet portfolio objectives defined Viz. sales, income, group product holding etc.
• Ensure adherence to Operations process aimed at zero defect transaction processing & meeting the Audit & Compliance guidelines.
• Responsible for managing, training and motivating staff.
• All of the above parameters are consistently met by the team of VRMs.
• Income generation through the right blend of enhancement of CASA balance and cross-sell of appropriate products So that the VRM becomes the top of the mind recall amongst the customers in the catchment for all their financial needs and services, thereby ensuring that the VRMs also achieves the key performance parameters set 8. The team Manager leads a team of VRM (Virtual Relationship Manager) and is directly responsible for the performance of team members leading to the fulfilment of Business objectives.
• Monitoring and tracking the VRMs on revenue generation, product penetration, digital penetration, and liability growth and ensuring that the required product mix is maintained at the resource level to achieve the targeted number.
• The team Manager will be responsible for Sales Management through leads generated for a set of products from a fixed non-managed customer with the express objective of achieving business targets and efficiency targets related to outbound database calling management.

Requirements

• Bachelor's degree or equivalent experience.
• Minimum 4 years of team lead experience.
• Candidate should have a banking or voice process background.
• Willing to work from the office

Roles and Responsibilities:

Strategize & Execute campaigns on Facebook, Google Ads & other portals to drive growth.

Work on optimization of campaigns through lever like CTR, conversion rate, average order value, etc.

Analyzing & Reporting of Data & executing changes based on learnings.

Coordinate with agencies & design team to ensure campaign implementation.

Planning & Testing of creatives & Audiences Work on creatives & communication for the ads on various portals.

Understand business growth and track record through analysis

Requirements:

Digital Marketing

Experience: 3-4 years

Good written and verbal communication skills.

Knowledge of Microsoft Excel, Google/Facebook Ads and any other Paid Marketing certifications.

We need to have resumes that talk about ROAS, CAC, 

Hiring of Business development executive in Greytip software pvt ltd.

Location: Bangalore and Hyderabad

Salary- upto -7 LPA

Note -immediate joiner preferred

Mandatory skills:

software sales,B2B sales, direct sales,HRMS or payroll software selling expereince would be an added advantage,ERP sales.

Short summary of the required skill sets and job role expectations

This position is an integral part of the sales and business development process within the

organization. We are looking for a passionate individual and a self-starter to execute the

company's sales strategy and be accountable for driving all aspects of revenue generation,

i.e., lead generation to closures (new customer acquisition process).

The Business Development Executive will lead and ensure the growth of the profitable new

business; develop and maintain customer relationships. This role is ideal for candidates who

enjoy selling, are achievement-oriented, and believe in achieving and exceeding sales goals

through strong collaboration with internal stakeholders and target prospects

We invite you to explore this career-boosting opportunity at Greytip for a challenging and

exciting role.

Role and Responsibilities

 Develop new business and long term account opportunities through prospecting

using a variety of lead generation methods

 Travel to customer sites and tradeshows to promote company’s products and

services

 Establish strong customer relationships by providing accurate and timely information

to customers regarding inquiries such as product features, pricing, quotes, and

issues/concerns.

 Complete RFP's and preparation of commercial proposals

 Follow up on submissions, negotiate and close business.

 Be aware of organizational growth initiatives regarding market and target customer

segments, and the company’s potential to meet customer needs

 Oversee, maintain and upgrade existing accounts to ensure ongoing client

satisfaction.

 Present product / services matching the prospect needs

 Ensure accurate and complete information is captured in CRM. Perform data quality

checks routinely.

 Achieve weekly, monthly, and quarterly pipeline funnel building targets and new

account acquisition targets

Skills and Competencies

 At least 2+ years of sales experience selling in the B2B segment. and consistently

achieved/exceeded sales targets

 Experience in the Software domain, preferably in a cloud-based platform with the

SaaS model

 Experience in the HR & Payroll domain will be value-added.

 Thorough understanding/appreciation of software product sales

 Must be extremely effective at initiating high-level contacts in accounts and have

strong presentation skills to close the sale

 Ability to generate leads and build the business in a wide-op

You have experience in tackling organization wide challenges which are complex initiative that span multiple teams and products. Strong bias for operational and engineering excellence. critical that your voice is heard in product and business decisions. You like to find patterns that can reuse across multiple stacks, and willingness to help organisations adopt newer technologies. You are a great communicator and you take care setting high benchmarks in technical design choices. You spend a lot of time on research and love to discuss pros/cons of all choices and helping others towards making careful decisions.

Responsibilities:

• You will participate in all aspects of our development and provide expertise on architecture decisions we'll need to make to solve organisational problems.
• Driving technical roadmaps for the organisation.
• Set the north star for all key technical metrics to monitor and set high standards.
• Identify and articulate current state architecture and clarity on final state architecture and build organisation level influence to drive this to conclusion.
• Coaching / mentoring folks across the organisation on various technologies.
• Improve the recruiting and hiring process.
• Thinks about culture and how to impact it.
• Build, develop and scale our platform that powers real estate agents, buyers and sellers.
• Become a domain expert on real estate technology and products and an empathetic partner to our customers.
• Inspire, recruit and mentor your engineering colleagues.
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive. efficiencies.

Requirements:

• BS in CS or EE or equivalent.
• Proven track record working in top talent and high performance environments.
• Experience working on large scale systems in rapid growth environments.
• Experience with modern web frameworks (e. g. Go/React), distributed computing (e. g. Spark), public cloud platforms (e. g. AWS) and data pipelines
• Familiarity with containerisation, microservices architecture, continuous integration and delivery.
• Experience with multiple well-known products throughout their life cycles, from idea conception to product release and maintenance.
• 10+ years experience.

• Published Engineering blogs.
• Experience with multiple well-known products throughout their life cycles, from idea conception to product release and maintenance.
• External presentations in events.