Customer Success Specialist

• Conduct research to identify potential leads and target markets.
• Utilize social media, cold calling, email campaigns, and other strategies to generate new lead opportunities.
• Qualify leads through initial outreach, determining their interest level and suitability.
• Maintain a well-organized contacts, leads, and interactions database using CRM software.
• Collaborate with the sales and marketing teams to refine lead-generation strategies and tactics.
• Meet or exceed targeted lead generation goals and benchmarks.
• Keep abreast of industry trends, competition, and new opportunities.

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.

Role Summary

The Production Planning Engineer is responsible for developing, implementing, and optimizing manufacturing plans and schedules to produce complex aerospace components. This role ensures efficient material flow, maximizes resource utilization, and guarantees all production activities meet rigorous safety and quality standards (AS9100).

Key Responsibilities

 Production Scheduling: Create and maintain detailed production schedules and work orders that balance customer demand, material availability, and facility capacity across various manufacturing cells (e.g., CNC machining, assembly and Fabrication).

 Process Optimization: Analyze current manufacturing processes to identify inefficiencies, bottlenecks, and areas for improvement. Implement Lean Manufacturing and Six Sigma methodologies (e.g., Kaizen events, value stream mapping) to enhance efficiency and reduce lead times.

 Work Instruction Development: Collaborate with manufacturing engineers to develop clear, detailed work instructions, Standard Operating Procedures (SOPs), and build plans that comply with engineering specifications and quality requirements.

 ERP/MRP Management: Utilize the company’s Enterprise Resource Planning (ERP) or Manufacturing Resource Planning (MRP) systems (e.g., SAP, Oracle, IFS) to manage production data, track inventory, update BOMs (Bill of Materials), and monitor work-in-progress (WIP).

 Capacity & Resource Planning: Conduct capacity analyses for labor and machinery, forecasting future needs and coordinating with management to ensure adequate resources are available for upcoming projects.

 Problem Solving & Coordination: Act as the technical liaison between the production floor, quality assurance, engineering, and supply chain teams to resolve immediate production issues (material shortages, design queries, quality holds) and prevent delays.

 Compliance & Documentation: Ensure all planning and production activities adhere strictly to aerospace quality management systems (e.g., AS9100, ISO 9001). Maintain accurate production records and performance metrics (KPIs).

Required Qualifications and Skills

 Education: Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or a related technical discipline from an accredited institution.

Experience:  Minimum of 1-3 years of experience in production planning, manufacturing engineering, or process planning within an aerospace or high-compliance, regulated manufacturing environment.

 Hands-on experience with typical aerospace manufacturing processes (e.g., precision machining, sheet metal fabrication, complex assembly).

Technical Skills:

 ERP/MRP Proficiency: Strong proficiency in using major ERP/MRP systems for production planning and inventory control.

 Methodologies: Solid understanding of Lean Manufacturing principles, Six Sigma, and continuous improvement tools.

 Data Analysis: Strong analytical skills with proficiency in data analysis tools (e.g., advanced Excel, Minitab).

 Technical Acumen: Ability to interpret complex engineering drawings, blueprints, and Geometric Dimensioning & Tolerancing (GD&T) per ASME Y14.5 standards.

Soft Skills:

 Excellent organizational skills, attention to detail, and ability to manage multiple priorities in a dynamic environment. Alpha-Tocol Engineering Services Pvt. Ltd.

 Strong communication and interpersonal skills, with the ability to lead and collaborate effectively across different departments.

 Proactive problem-solver with a focus on results and efficiency.

Preferred Qualifications

 Certifications such as APICS Certified in Production and Inventory Management (CPIM) or Six Sigma Green Belt/Black Belt.

 Experience with advanced planning and scheduling (APS) software. 

Position: PHP Full Stack Developer

Responsibilities:

- Develop and manage web applications.

- Collaborate with a team of developers to maintain a high-quality codebase.

- Troubleshoot and debug issues with web applications.

- Coordinate work with other internal departments.

Requirements:

- Strong experience with Core PHP, Codeigniter, MySQL, JavaScript, HTML5, and CSS.

- Minimum 1 year of experience in Full Stack ERP/CMS development.

- Familiarity with front-end technologies such as HTML5, CSS3, JavaScript, JQuery, AngularJS, etc.

- Strong analytical and problem-solving skills.

Additional Preferences:

- Male candidates and immediate joiners are preferred.

Compensation:

- Salary range: 3 - 5 LPA (Indian Rupees), based on knowledge, skills, and assessment.

• Sound knowledge of Flutter framework & DART language
• Experience with Material Design and UI design principles, patterns, and best practices
• Architecture, design and development of distributed web based solutions based on J2EE architecture (Spring boot, Hibernate/JPA, REST) or PHP Laravel framework
• Proficient with Data Modelling, Object Oriented Design
• RDBMS and NoSql database (MongoDB)
• Experience in event driven & Microservices architecture
• Exposure to Agile, behaviour driven development, TDD , CI/CD
• Be self-driven and take ownership of deliverables end to end
• Working knowledge of HTML/ CSS

Employment Type: Full-Time

Position: Technical Program Manager

Job Location: Hyderabad

Experience: 8-14 Yrs

Key Skills: Technical Program Management, Experience in Software Development (Web Technologies)

Project: Product-Online Marketing, E-commerce Platforms

Joining time: Immediate to 30 days

Education: Master’s/Bachelor’s degree in Computer Science, Statistics, Engineering or a related technical discipline will be preferred

Positions Overview: UNIFY is looking for a Technical Program Manager for our E-Commerce product Team to gather requirements, manage objectives and build internal stakeholder relationships for the Engineering Team at StockX.

This position will help build a cross-functional team to drive the implementation and deployment of completed designs, develop and document requirements, budgets and project schedules. The TPM will assist in creating a data-driven culture that will change the way decisions are made, accelerate our business and create a new mindset as it pertains to the power of data.

As the Technical Program Manager, you are an exceptionally strong communicator, both written and verbally, and possess 7+ years of experience in tactical project management of highly technical initiatives, as well as strategic program management. Experience in managing large-scale, real-time Web programming, data pipelines and data solutions (lakes, databases, services) is a plus. You will help focus our data team, define the data roadmap and ensure stakeholders objectives are prioritized and met.

The TPM will be competent in a variety of project management tools, methodologies and techniques for all phases of the project lifecycle and exhibit demonstrated experience in core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking. Other requirements include experience with Jira, Confluence, project management tools and G-Suite. Experience with JavaScript, NodeJS, ReactJS/Angular, React Native, Scrum, SQL, AWS and data systems is a plus.

What we're looking for/Qualifications:

• 7+ years of relevant work experience in internet-related  technical program management of large scale cross-functional engineering efforts and/or technical product management in a software applications environment

• 4+ years of experience in Software Development (Web Technologies)

• Exceptional verbal and written communication skills with the ability to work with technical and non-technical, cross-functional groups

• An ability to distil complex issues into solvable and actionable tasks

• A passion for pushing boundaries and questioning the status quo

• Experience in project management and development

• Experience in core project management disciplines including scope, schedule, budget, quality, along with risk and critical path management

• 2+ years of experience in analytical, quantitative, communication, and presentations

• Experience with one more Internet technologies such as JavaScript, NodeJS, ReactJS/Angular, React Native, HTTP, REST, SOA, AWS, S3, EC2, SimpleDB

• Ability to proactively identify upcoming risks, issues, and bottlenecks and resolve issues that sometimes cross departmental boundaries

• Ability to estimate, schedule and track projects: get hands dirty herding cats

• Ability to manage multiple concurrent projects

• Bachelor's degree or higher in a technical field (e.g. computer science, engineering)

Responsibilities:

• Work cross-functionally with data engineering, data science, business intelligence, machine learning, product and engineering teams to deliver solutions that provide easy access to data and enable insights and action

• Harness the incredible power of our Data Engineering Team by providing objectives, managing timelines and leading meetings with stakeholders

• Be hands-on. Ensure technical excellence by reviewing the outputs of systems, mandating quality and getting sign off from stakeholders

• Create technical requirements documents, write user stories, sign off on completed work and envision new POCs and initiatives to drive change

Kindly reply to this with the following details if you are interested to apply for this position. 

Total Experience:

Key Skills:

Program Manager Experience:

Current Company: 

Current Location: 

Current CTC: 

Expected CTC: 

Notice Period: 

Reason for Job change:

Are you interested in this role and job location Hyderabad Y/N:

Product Description- We feature a live marketplace where participants can buy and sell limited edition consumer products with stock market-like visibility. We are looking for talented engineers who are driven and challenged by interesting and complex problems.

Our Partners: Apple, UiPath, Airtel, Microsoft, StockX, Roche, ServiceNow, Cars24, Pay Joy, UHG-UnitedHealth Group, HP

Enterprise, Deloitte, Oxigen Wallet, Hike Messenger, Bolt, Inpods, Wynk Music, Near.co Etc.

Easypolicy Insurance is looking for a software developer having core expertise of CakePHP with MVC framework (Candidate must have knowledge of PHP, jQuery, HTML) The person will be responsible for the creation and implementation of a wide variety of Web-based products using PHP, MySQL and AJAX

Responsibilities:

• Strong knowledge of PHP web frameworks (CakePHP, MVC).
• Understanding the fully synchronous behavior of PHP.
• Understanding of MVC design patterns.
• Basic understanding of front-end technologies, such as HTML, and CSS3.
• Knowledge of object-oriented PHP programming.
• Understanding accessibility and security compliance.
• Strong knowledge of the common PHP or web server exploits and their solutions.
• Understanding fundamental design principles behind a scalable application.
• User authentication and authorization between multiple systems, servers, and environments.
• Integration of multiple data sources and databases into one system.
• Familiarity with limitations of PHP as a platform and its workarounds.
• Creating database schemas that represent and support business processes.