- Identify target audience and grow our email list
- Design and implement direct email marketing campaigns
- Proofread emails for clarity, grammar and spelling
- Ensure mobile-friendly email templates
- Write newsletters including all company updates
- Upgrade our email templates using graphics, personalization and advanced features
- Ensure prompt and accurate communication with clients via email to minimize unsubscribes
- Create email databases for lead generation
- Analyze campaign performance and suggest improvements
- Report on sales revenue generated from email marketing efforts
- Ensure emails follow industry policies and best practices

About Mobile Programming LLC
About
Mobile programming LLC is a US based MNC company. Our services are focused on Mobility Solutions, Custom App Development, Cloud Solutions, IoT, AR/VR, Blockchain, Artificial Intelligence & Machine Learning, Predictive Analytics & Big Data Solutions, and several other trending as well as emerging technologies.
You can find more details on - https://www.mobileprogramming.com/
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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.
We are looking for skilled and motivated Software Engineers to join our growing team and work on cutting-edge projects with leading Japanese company in Japan. This role involves full-cycle system and application development across various domains including finance, healthcare, public systems, and web technologies. Candidates will be engaged in both frontend and backend development, database management, testing and end-to-end system integration from requirement gathering and analysis to deployment and maintenance.
Company Description
Mobile Programming LLC was started with the mission to provide “Economic as well as Efficient” software solutions. We firmly believe in the credibility and scalability of Digital Transformation. Our services are focused on Mobility Solutions, Custom App Development, Cloud Solutions, IoT, AR/VR, Metaverse, Blockchain, Artificial Intelligence & Machine Learning, Chatbot, Predictive Analytics & Big Data Solutions, and several other trending as well as emerging technologies. At its core, Mobile Programming LLC is all about developing solutions that help clients accelerate their business processes, achieve optimum productivity, and mitigate risks.
Role Description
This is a full-time on-site role for a Full Stack Developer located in Bengaluru. As a Java Developer, you will be responsible for building and maintaining web applications, ensuring the responsiveness of applications, and working alongside cross-functional teams to develop and implement user-friendly features. You will collaborate with the development team, contribute to the overall architecture of the application, and ensure high-quality code and documentation.
Qualifications
- Proven work experience as Java Developer
- Experience in 4 yrs expin back-end development
Responsibilities
● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,
scalable & are of high quality.
● Build and/or operate platforms that are highly available, elastic, scalable, operable and
observable.
● Build/Adapt and implement tools that empower the TI AI engineering teams to
self-manage the infrastructure and services owned by them.
● You will identify, articulate, and lead various long-term tech vision, strategies,
cross-cutting initiatives and architecture redesigns.
● Design systems and make decisions that will keep pace with the rapid growth of TI AI.
● Document your work and decision-making processes, and lead presentations and
discussions in a way that is easy for others to understand.
● Available for on-call during emergencies to handle and resolve problems in a quick and
efficient manner.
Requirements
● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and
Kubernetes or similar infrastructure platforms. (preferably AWS)
● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test
everything, proactive monitoring etc).
● Experience in building and operating distributed systems.
● Understanding of operating systems, virtualization, containerization and networks
preferable
● Hands-on coding on any of the languages like Python or GoLang.
● Familiarity with software engineering practices including unit testing, code reviews, and
design documentation.
● Strong debugging and problem-solving skills Curiosity about how things work and love to
share that knowledge with others.
Benefits :
● Work with a world class team working on a very forward looking problem
● Competitive Pay
● Flat hierarchy
● Health insurance for the family
Work with a leading FMCG Manufacturing company, and grow with its amazing team.
Our Client is the world's largest FMCG brand manufacturer and exporter with a legacy spanning over 120 years.They are India's first integrated company with a comprehensive product chain. Our client is a billion dollar top line company holding 45% market share in India and 50% share in export market.
As a Manager Global FP&A, you will be managing a multitude of responsibilities that are related to forecasting, reporting, Implementation and analytics to improve on the company's product, sales and marketing effectiveness.
What you will do:
Marketing and Sales Analytics
- Performing insightful analysis of sales performance of brands (own and competitors) to highlight key performance/ issues across area/ geographies and facilitating strategic initiatives for improvement
- Working on Measurement and evaluation of effectiveness of executed marketing promotions
- Analyzing industry growth trends vis-a-vis own brands and competitors on monthly basis. Identifying gaps, planning and designing territory specific schemes to overcome competition
- Supporting sales teams with customized data queries, analysis and reports catering to specific business needs
- Pricing analysis within brands, packs and segments to suggest a competitive price for old/ new brands
Sales force enablement & effectiveness:
- Identifying outlet gaps in width of distribution/ availability of brands in retail, bars and clubs for the ease of the sales team to focus for the month
- Designing motivating reward schemes for the sales team with parameters of target achievement (overall volume and focus brands volume)
- Identifying outlet wise volume potential and plan monthly brand wise volumes to meet monthly regional sales plan (# of outlets 7000+)
- Evaluating sales team performance on monthly basis and computing incentive payouts and rewards
- Deriving frequency of visiting outlets basis value potential of the outlet - used to design PJP (Permanent Journey Plan) for better coverage of outlets by sales executive
Forecasting Sales:
- Projecting secondary sales volume for a horizon of 3 financial years and estimaing manufacturing unit requirements
- Forecasting yearly/ quarterly/ monthly/ weekly volume plans and identifying opportunities & risks
- Planning Monthly volume plan for brands and packs prediction on industry growth trends and sales inputs
Monthly Operations Review Report (MOR):
- Reporting on budget achievement, growth (volume and value) for the month and year till date
- Executive summary highlighting- environmental challenges and mitigation plan, market summary (Trade, Manufacturing, Supply Chain, Sales, Marketing) on what worked well/ what can work better vis a vis action points, issues performance achievements/ issues; to be submitted to the top management of the organization
Route to Consumer (RtC):
- Becoming a Project Lead for all regional implementation, requirements and smooth execution of RtC project
Perfect Outlets:
- Creating Segmentation of outlets based on Gross Sales Value (GSV) contribution to region
- MAking a Selection of top outlets based on value and profile of outlets to be transformed into perfect outlets
- Measuring parameters of Quality, Distribution, Visibility, Price, Promotion and Persuasion of an outlet and develop plan for improvement
- Training sales executives and third-party auditors on guidelines of retail outlet planogram and evaluating
Online Daily Sales Report:
- Measuring availability of brands in outlets on a weekly basis and providing targets to fill gaps
- Measuring and monitoring coverage of frontline sales team
Miscellaneous Activities:
- Making management presentations for review
- Preparing monthly and quarterly financial reports of various oversee distributors
- Adhering to accounting standards / ensure financial compliance in conjunction with international law and corporate accounting standards including export / import documentation as FEMA and RBI regulations
- Checking International Trade Marketing expenses inline of approval provided
- Preparing and checking Quarterly TME approval to be provided to distributors
- Creating an Analysis report on budgeted expenditure and actual expenditure of TME
- Maintaining dialogues and working relationship with overseas distributors.
- Managing receipts & vendor payments for exports receivables (AR)
- Implementing a Business Intelligence tool and dashboard reports
- Supporting management team and the Heads of Department with data-driven analysis
What you need to have:
- Either B.Tech & MBA or B.Com & MBA
- Worked on Sales Analytics for a FMCG company in food and beverage space of 500 crores plus size.
- Worked in the Domestic / Export division handling distributors, channel partners, dispensing customer and trade schemes
- Worked on sales budget analytics (revenue) as well as rationalization of spends (cost optimization of schemes)
- Possesses data collation and aggregation skills from multiple sources both internal and external to the organization.
- Comfortable working with large amounts of data and run historical analytics as well future trend progression to drive business unit objectives.
- Sales AOP, Forecast, Pricing, Expenses
- Working with Head Sales, Preparing various reports through BI Tools
- Strong Quantitative & Analytics abilities
- Experience with Global Financial Planning & Analysis
- Adaptive, willing and able to work with different time zones to get the work completed
- Advanced computer software skills, including writing macros in Excel and other accounting packages
Job description
Roles and Responsibilities
Analyze and create the SEO strategy including technical and content audits, keyword research, and off-site analysis to drive keyword rankings
- Create the content strategy, bring SEO-backed ideas, and execute through a group of writers and content managers using a test and learn approach
- Conduct data analysis of campaign performance, traffic, and keyword rankings against key metrics, and present insights and learnings to the team and broader company
- Manage our link building and content outreach efforts to increase domain authority and boost performance in SERPs
- Own the technical SEO roadmap to identify and fix crawlability issues and implement an SEO-friendly content creation process
- Research and analyze keywords and SEO techniques used by competitors and top industry experts
- Incorporate SEO best practices into all marketing to improve organic rankings, traffic, and registrations
Desired Candidate Profile
Minimum 5+ years of experience in SEO managing projects from idea to implementation
- Proven results in improving organic traffic, conversion rates, and working with content to drive SEO rankings growth
- Proficiency with Google Analytics and Google Tag Manager, and SEO tools like Google Search Console, Moz, BrightEdge, SEMrush, etc.
- Comfortable with technical SEO and web code best practices
This is a great next step for your career if you have
- 5-7 Years of Proven experience as an SEO Executive (or) Analyst
- Educational Background: Engineering, Master or MBA-Marketing (from reputed university)
- Experience with website analysis using a variety of analytics tools including Google Analytics as well as an internal reporting tool
- Experience working with popular keyword tools (Google, WordTracker, Keyword Discovery, Ahrefs, Semrush, buzz sumo, Moz, etc)
- Experience working with CMS and building/administering content in CMS environments
- Skills and experience in creative content writing
- Analytical mindset and critical thinking
- Excellent communication and interpersonal skills
- Time Management skills and are a team player
- Compensation:: Best in the industry.
- Job Location:: Work From Home
Overall:4+Years
Educational: Any graduate
Minimum 4+Years of experience
Minimum 2 years of experience in Angular 2+ versions
Hands-on experience of Angular v 8, Typescript , Javascript, Jquery
Good to have html, CSS, bootstrap
TM1 Lead Engineer
Job Description:
The Lead Engineer should have good communication skills and is able to work with colleagues in Change delivery and Finance Users.
The Lead Engineer should have a very good understanding of Financial Statements.
As the Lead Engineer you might be working across different projects simultaneously 9+ Years TM1 Development experience Expertise in developing end to end solutions from ground up in TM1 Ability to design secure, scalable, configurable and modular solutions Expertise in applying optimisations both for performance and configuration Highly proficient in all aspects of TM1 development and Infrastructure
|| Expert in IBM Planning Analytics 2.0 Expert in development on PAW and PAX Highly proficient in developing TM1 Rest API based solutions Strong knowledge of MDX, SQL, Excel, Visual Basic, relational databases Must have good verbal communication skills
– Ability to work across geographies
A self-motivated, confident team player who leads by example and provides guidance to others DevOps and Agile engineering practitioner, test driven development Excellent communication skills & team player











