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Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,
manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.
Here’s a link to our website: www.impactanalytics.co.
Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.
Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.
Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:
● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.
● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.
What our ideal candidate may look like:
● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.
● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.
● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.
● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support
● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.
● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.
● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.
● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.
● Proven experience mentoring engineers and guiding architectural decisions at scale.
What We Offer
● Opportunity to lead large, high-impact projects for global Fortune 500 clients.
● Work in a high-growth startup environment with a flat, collegial culture.
● Best-in-class remuneration and benefits.
● A platform for personal and professional growth with ownership and autonomy.
Some of our accolades include:
● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
👉 Job Title: Senior Backend Developer
🌟 Experience: 5-7 Years
💡Location: Bangalore
👉 Notice Period :- Immediate Joiners
💡 Work Mode - 5 Days work from Office
( Candidate Serving notice period are preffered)
Role Summary
We are seeking a Senior Backend Developer with strong expertise in Python and FastAPI to build scalable, high-performance backend systems integrated with LLM technologies on Azure. The role involves designing distributed systems, optimizing data pipelines, and ensuring secure, enterprise-grade applications.
Key Responsibilities
- Develop backend services using Python & FastAPI (async, middleware)
- Build high-concurrency, scalable systems and microservices
- Work with Azure services and event-driven architectures
- Optimize MongoDB & Redis for performance
- Integrate LLM APIs (OpenAI, Gemini, Claude)
- Implement security (JWT, encryption, API management)
Mandatory Skills (Top 3)
- Strong Python backend development with FastAPI
- Hands-on experience with Microsoft Azure cloud
- Experience in building scalable distributed/microservices systems
Good to Have
- Docker, Kubernetes, CI/CD
- LLM frameworks (LangChain, vector DBs)
- Monitoring tools and real-time data processing
Strong Software Engineering Profile
Mandatory (Experience 1): Must have 7+ years of experience using Python to design software solutions.
Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.
Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka
Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure
Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.
Mandatory (Education): From IIT (Candidate should have done bachelor degree Btech or Dual degree Btech+Mtech or Intergrated Msc), From other premium institutes NIT, MNNIT, VITS, BITS (Candidates should have done B.E/B.Tech)
Preferred
Preferred (Skills 1): Experience in Task Queues like Celery and RabbitMQ is preferred.
Preferred (Skills 2): Experience with RDBMS/SQL is also preferrable.
Preferred (Education): Computer science
Azure DE
Primary Responsibilities -
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
- Use Azure Data Factory and Databricks to assemble large, complex data sets
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Ensure data security and compliance
- Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
Required skills:
- Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
- Azure DevOps
- Apache Spark, Python
- SQL proficiency
- Azure Databricks knowledge
- Big data technologies
The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).
Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.
We are having an immediate requirement for a Python web developer.
You have:
- At least 2 years of experience developing web applications with Django/Flask/FastAPI
- Familiarity with Linux
- Experience in both SQL and NoSQL databases.
- Uses Docker and CI/CD
- Writes tests
- Experienced in application deployments and scaling them on AWS or GCP
You are:
- Eager to work independently without being watched
- Easy going.
- Able to handle clients on your own
Location: Remote (in India)
- Deliver features in an end-to-end manner: technical design, development, testing, deployment, and maintenance.
- Provide technical leadership and own specific areas of the platform.
- Work closely with Product Managers to translate product requirements to engineering specifications.
- Lead code review efforts and quality efforts in your area of ownership.
- Participate in product discussions, taking ownership and initiative.
- Work independently in a fast-paced environment.
- Mentored and guide junior engineers.
Must Haves:
- Minimum 2 years of working experience in Ruby on Rails/ Python/ Node.JS.
- Strong problem-solving skills, data structures, and algorithms.
- Excellent experience on databases like MySQL, PostgreSQL, etc.
- Familiarity with tools for code reviews, version control (GIT).
- A knack for writing clean, readable Ruby/ Python/Node.JS code.
- Experience in application server hosting and monitoring.
- Understanding of fundamental design principles behind a scalable application.
Nice to Have:
- Hands-on with search platforms (Solr, Elasticsearch, etc).
- Prior experience with microservices-based architecture/SOA/distributed systems.
- Able to implement automated testing platforms and unit tests.
- Experience with common AWS service EC2, RDS, S3, SES, etc.
Key Competencies:
- Building Effective Team
- Solving Problems Creatively
- Learning Agility
- Drive For Result
About us
Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.
Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.
We have an opening for a Software Engineer(Solution) role which you might be interested in.
Responsibilities of your role:
- You will be coordinating our enterprise account-specific teams called squads, consisting of members from engineering, machine-learning, and conversation-design teams.
There are five working groups in the organization, (i) Business (ii) Research (iii) Solutions (iv) Product, and (v) Operations, where you will be joining the Solutions working group.
- You will be collaborating with the sales team to design an appropriate solution to the customer's problems and help them showcase the value in the product.
- You will be collaborating with the operations team to ensure we are not compromising on our quality standards.
- You will also be co-working with the product working group to help them improve the overall platform and to prioritize the high-impact initiatives in the roadmap.
Work you will be doing:
- You will be building bespoke voicebots for enterprise clients using internal tools.
- You're expected to help build the Solutions stack whose goal it is to reduce the amount of effort put into building our voicebots.
- You will be involved in analyzing client calls where you're expected to use either data pipelines or SQL to get insights into caller behavior.
Technical Requirements
Mandatory Requirements:
- Professional experience of at least 1 year.
- Has experience with integrating or building HTTP APIs
- Has hands-on experience of working with Python
- Good communicator
Optional Requirements:
- Has experience working in any of Django Rest Framework, Redis, Celery
Technical Stack
Skit uses a microservices architecture where we employ both HTTP and GRPC to communicate between our services.
We don't expect you to have worked on all of it. We're looking for Python programmers who are ready to pick up the rest of the tech stack on the job.
Languages:
- Python
- Golang
Frameworks:
- Python:
- Django Rest Framework
- Celery
- Golang:
- Gorm
- GorillaMux
Tools/Orchestration/VCS:
- Docker
- Kubernetes
- Argo Workflows
- Gitlab
- Github
- What information we collect during our application and recruitment process and why we collect it;
- How we use that information; and
- How to access and update that information.
This policy covers the information you share with Skit (Cyllid Technologies Pvt. Ltd.) during the application or recruitment process including:
- Your name, address, email address, telephone number and other contact information;
- Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
- Information from interviews and phone-screenings you may have, if any;
- Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
- Details of how you heard about the position you are applying for;
- Reference information and/or information received from background checks (where applicable), including information provided by third parties;
- Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
- Information related to any assessment you may take as part of the interview screening process.
Your information will be used by Skit for the purposes of carrying out its application and recruitment process which includes:
- Assessing your skills, qualifications and interests against our career opportunities;
- Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
- Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
- Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
- Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
- Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.
We collect and process some or all of the following types of information from you:
- Information that you provide when you apply for a role. This includes information provided through an online job site, via email, in person at interviews and/or by any other method.
- In particular, We process personal details such as name, email address, address, telephone number, date of birth, qualifications, experience, information relating to your employment history, skills experience that you provide to Us, as well as your video in case you conduct your interview using the Video Interview feature.
- If you contact Us, We may keep a record of that correspondence.
- A record of your progress through any hiring process that we may conduct.
Roles and responsibilities
- Develop well-designed performant and scalable applications and microservices
- Writing reusable, testable, and efficient code aligning to software development best practices
- Integrate data storage solutions including databases, key-value stores, blob stores, etc.
- Build integrations with 3rd party applications through apis’ to ingest and process data
- Develop state-of-the-art analytics tools to support diverse tasks ranging from ad hoc analysis to production-grade pipelines and workflows for customer applications
- Ensure security and data protection aspects within the applications
- Partner with Data Scientists and Analytics Engineers to improve the performance and reliability of advanced algorithms
- Ensure high performance and availability of distributed systems and applications
- Interact directly with client project team members and operational staff to support live customer deployments and production issues
- 4+ years of experience in developing applications using python and related technologies.
- Familiarity in data ingestion and processing libraries in python.
- Thorough understanding of REST and GRPC technologies.
- Experience in using ORM (Object Relational Mapper) libraries for data access.
- Experiencing in developing and hosting APIs and integration with external applications.
- Experience in building data models and repositories using relational and NoSql databases.
- Knowledge of JIRA, Bitbucket and agile methodologies.
- Good to have knowledge of AWS services like Lambda, dynamodb, kinesis and others.
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming
- Strong unit test and debugging skills
- Affinity for learning and applying new technologies and solving new problems
- Effective organizational skills with strong attention to detail
- Experience in working with docker is a plus
- Comfortable in working with Unix/Linux environment
- Strong communication skills — both written and verbal
- Spend most of your time developing brand new software in Python
- Build out a secure data replication infrastructure to replicate transactional data across a hierarchical system
- Build out APIs for supporting a fleet of 20k devices
- Build out a configurable data analytics and reporting framework
- Build out real time dashboards for getting a high level and deep dive view of the overall system
- Be responsible for independently designing and building out modules of the overall system
- Work with a team of smart peers and take ownership of the resulting system
- Push yourselves, create impact, learn and grow as an engineer










