Technology Solution Engineer at Altinvest Online Platform Pvt Ltd · Bengaluru (Bangalore) · 3 - 6 years · ₹6L - ₹15L / yr · Profitable · Posted 29 Jul 2026

We are seeking a Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.
Responsibilities:
- Understand business requirements and convert them into technical solution options.
- Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
- Develop POCs and prototypes to validate technical feasibility.
- Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
- Perform technical, scalability, security, and cost feasibility assessments.
- Prepare solution comparison reports, architecture diagrams, and technical recommendations.
- Collaborate with business users, vendors, and engineering teams during evaluations.
- Identify technical risks, assumptions, and implementation dependencies.
- Support engineering teams in transitioning successful POCs into production.
- Maintain clear technical documentation.
Criteria:
· Bachelor's degree in Computer Science, Information Technology, or a related field.
· 3–5 years of hands-on experience in software development, integration engineering, or solution engineering.
· Strong coding skills in Python, Node.js, Java, or C#.
· Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.
· Hands-on exposure to AWS or another major cloud platform.
· Experience with Git, Docker, and SQL databases.
· Excellent analytical, troubleshooting, and communication skills
· Comfortable collaborating across product, engineering, and business teams
· Excellent communication, problem-solving, and stakeholder management skills.
Preferred Skills
- Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
- Experience evaluating third-party enterprise software.
- Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.
- Ability to create architecture diagrams and technical proposals.
What Makes You Successful
- Quickly builds functional POCs to validate ideas.
- Can independently evaluate multiple technical approaches.
- Balances technical quality, implementation effort, and business value.
- Communicates findings clearly to technical and non-technical stakeholders.

About Altinvest Online Platform Pvt Ltd
About
At AltInvest, we are on a mission to democratize wealth creation by providing investors access to institutional-quality alternative investment opportunities. Through our technology-enabled platform, we offer curated investment options across REITs, InvITs, commercial real estate, private credit, global real estate, and other alternative asset classes that have traditionally been accessible primarily to institutional investors.
Backed by global institutional investors and led by a team with deep expertise in investing and financial services, we have built one of India's leading alternative investment platforms. Today, we serve over 300,000 users and manage more than $250 million in assets, helping investors diversify their portfolios and achieve long-term wealth creation through alternative investments.
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Responsibilities:
- Run technical discovery calls with Heads of Data, Data Engineering Managers, and CTOs to understand their stack, pain points, and constraints. These are global conversations, primarily with customers in North America and Europe, and you will own them end-to-end.
- Design and present reference architectures showing how Hevo fits into their existing data stack (e. g., Salesforce, Postgres, GA4 Snowflake, dbt).
- Run live product demos tailored to the customer's stack. These are not scripted walkthroughs. You will need to read the room, adapt on the fly, and handle unexpected technical questions with confidence.
- Own the technical evaluation from the first conversation to the closed deal by addressing deep technical questions and earning trust with engineering teams.
- Build proofs-of-concept by configuring real pipelines from source systems (Salesforce, Outreach, Postgres, MySQL) into destinations like Snowflake or BigQuery.
- Develop deep expertise in the data integration landscape, including native solutions from AWS, GCP, and Azure (AWS Glue, Azure Data Factory, Google Cloud Dataflow) as well as other data pipeline and integration platforms, and articulate Hevo's technical advantages in a way that lands with both technical and non-technical buyers.
- Partner with Account Executives to drive technical wins and with Customer Success to ensure smooth handoffs after a deal closes.
- Share customer feedback and patterns with Product and Engineering to influence the roadmap.
Requirements:
- 2 to 6 years of hands-on experience as a Data engineer, Analytics engineer, ETL/ELT developer, or Data warehouse engineer.
- Experience building and operating real data pipelines in production, including handling source schema changes, failures, and reliability issues.
- Strong fundamentals in SQL and at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).
- Experience with at least one orchestration or transformation tool (Airflow, dbt, or similar).
- Exceptional communication and presentation skills.
- This is non-negotiable. You will be the face of Hevo's technical capability to a global customer base. That means:
- Your spoken English is clear, confident, and easy to follow for an international audience.
- You are comfortable presenting to groups of 5 to 15 people, including senior technical leaders, over video calls.
- You can structure a technical narrative, not just answer questions but guide a conversation toward the right conclusion.
- You can hold your own when a customer pushes back or challenges your recommendation.
- You have presented or demoed something technical to an audience before, in any context: internal reviews, client calls, meetups, or conferences.
- Genuine interest in customer-facing work, even if you have not done it formally before.
Good to have:
- Experience with CDC tools or data integration platforms, whether cloud-native (AWS Glue, Azure Data Factory, or Google Cloud Dataflow) or third-party pipeline and integration tools.
- Exposure to multiple source system types such as CRMs, ad platforms, SaaS APIs, and OLTP databases.
- Public technical writing, conference talks, or open-source contributions.
- Prior experience in customer conversations, even informally. For example, presenting to internal stakeholders or analytics teams or working with international teams across time zones.
About the Role
We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.
This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.
As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.
This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.
Key Responsibilities
Customer Discovery & Solutioning
- Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
- Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
- Translate business requirements into high-level cloud and AI solution architectures.
- Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.
Cloud Transformation Consulting
- Support customer initiatives across:
- Cloud Migration
- Application Modernization
- DevOps Transformation
- Managed Services
- Security & Compliance
- Resilience & Disaster Recovery
- Conduct cloud assessments and migration readiness evaluations.
- Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
- Leverage AWS programs and frameworks such as:
- Migration Acceleration Program (MAP)
- AWS Well-Architected Framework (WAFR)
- Foundational Technical Review (FTR)
AI & GenAI Solution Consulting
- Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
- Participate in AI discovery workshops and business value discussions.
- Support solution design for AI-powered applications leveraging AWS AI services.
- Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
- Assist customers in identifying suitable use cases for:
- Generative AI
- AI Assistants
- Knowledge Management Solutions
- Intelligent Automation
- Conversational AI
Proposal Development & Technical Presales
- Collaborate with Solution Architects to create:
- Technical Proposals
- Architecture Diagrams
- Effort Estimates
- Statements of Work (SOWs)
- Technical Responses to RFPs/RFIs
- Present solutions, recommendations, and technical approaches to customer stakeholders.
- Support Proof of Concepts (PoCs), demonstrations, and technical validations.
- Participate in technical reviews and solution walkthroughs.
Customer Engagement & Thought Leadership
- Attend customer meetings jointly with Sales teams to provide technical expertise.
- Build credibility and trust with customer technical and business stakeholders.
- Contribute to webinars, workshops, technical presentations, and customer-facing events.
- Write blogs, case studies, solution briefs, and technical content that supports business growth.
- Maintain an active presence in cloud and AI communities.
Collaboration & Knowledge Management
- Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
- Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
- Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
- Contribute to internal capability building and knowledge-sharing initiatives.
Travel & Customer Interaction
- Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
- Represent Comprinno professionally during all customer-facing interactions.
Required Qualifications & Skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
- Strong understanding of AWS cloud services across:
- Compute
- Networking
- Storage
- Security
- Databases
- Knowledge of cloud migration and modernization frameworks such as AWS MAP.
- Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
- Understanding of:
- Kubernetes
- Containerization
- Cloud-Native Architectures
- DevOps Practices
- Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
- Ability to create:
- Solution Documents
- Architecture Diagrams
- Technical Proposals
- Effort Estimates
- Statements of Work
- Understanding of Generative AI concepts including:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Assistants
- Agentic AI Concepts
- Familiarity with AWS AI services such as:
- Amazon Bedrock
- Amazon SageMaker
- Amazon Q
- AWS Solutions Architect – Professional Certification.
- Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
- Familiarity with AI frameworks such as:
- LangChain
- LangGraph
- CrewAI
- OpenAI APIs
- Anthropic APIs
- Strong communication, presentation, and stakeholder management skills.
- Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
- Experience contributing to webinars, blogs, case studies, or technical marketing content.
- AWS Solutions Architect – Associate Certification (Mandatory).
- Customer-centric mindset with strong problem-solving abilities.
Desired Qualifications & Skills
- AWS Specialty Certifications such as:
- Security Specialty
- Advanced Networking Specialty
- Machine Learning Specialty
- DevOps Engineer Professional
- Understanding of compliance frameworks such as:
- ISO 27001
- SOC 2
- HIPAA
- MBA or equivalent business qualification.
- Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.
What We're Looking For
- Strong consulting mindset with the ability to understand customer business challenges.
- Excellent communication and presentation skills.
- Ability to balance technical depth with business value articulation.
- Passion for cloud technologies, AI, and emerging innovation.
- Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
- High ownership and accountability.
- Curiosity and continuous learning mindset.
- Willingness to travel and work from customer locations across India and internationally as required by project engagements.
What Success Looks Like
- Consistently contributes to qualified pipeline creation and deal progression.
- Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
- Builds credibility with customers through strong technical consulting and solution design.
- Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
- Develops reusable presales assets, assessment frameworks, and solution accelerators.
- Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
- Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.
Why Join Comprinno
- Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
- Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
- Collaborate directly with enterprise customers and influence strategic technology decisions.
- Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
- Contribute to innovative solutions including Tevico and future AI-powered offerings.
- Build thought leadership through webinars, blogs, events, and community participation.
- Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.
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Strong experience building and operating cloud-native SaaS or web applications.
Solid understanding of software design, distributed systems, and modern engineering practices.
Proven ability to own and deliver complex features independently.
Experience debugging and resolving performance, scalability, and reliability issues.
What We Look For
Strong programming fundamentals and a quality mindset.
Curiosity and a strong desire to learn and grow.
Ability to deliver well-scoped tasks reliably.
Good problem-solving and debugging skills.
Collaboration and communication skills.
Ownership and accountability for the work you do.
Passion for building software and continuous learning.
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What you'll do
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Resolve client tickets and bugs fast. Keep their systems and data healthy.
Write things down: clear docs, clear updates, clear commit history.
What we're looking for
2–5 years shipping software that works and being able to read it, debug it, and stand behind it.
Strong with REST APIs and integrations between systems.
Happy working inside business platforms (Zoho, Salesforce, or similar). Much of the leverage in this role lives there, not in custom code.
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Self-driven. You'll often be the only engineer on a problem.
Why you'll love this role
Full ownership from first call to delivery you run projects, not just a ticket queue.
Direct access to clients and leadership. Your decisions ship the same week.
Constant variety: new systems, new problems, new builds.
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Required Skills & Qualifications
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- Strong hands-on expertise in Python and modern backend frameworks.
- Deep experience with AWS services and cloud-native application architecture.
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Engineering
• at least 7+ years of full stack software engineering experience
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• Strong understanding of software architecture and best practices
• Experience working in complex, integrated systems
Workflow and Orchestration
• Proven experience with Temporal
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• Strong experience with PostgreSQL
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• Experience building intelligent automation features
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• Strong problem-solving ability
• Comfortable with ownership and accountability
• Able to contribute with minimal supervision
• Strong communication skills in English
• Comfortable working U.S.-based business hours (New York / EST)
Ideal Candidate
A senior full stack engineer who can quickly contribute to an active production system, own features end-to-end, and help expand a platform that sits at the center of complex business workflows and integrations. Send resume with projects and contact information.
Job Title: L3 SDE (Python- Django)
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Job Type: Full-time, On site
Company: Timble technologies Pvt Ltd. (www.timbleglance.com)
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Application form: https://forms.gle/KbbeXxqhwpwnCzcDA
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- BS/B.Tech. in Computer Science, Engineering, or an equivalent.
- Strong verbal and written communication skills.
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- Solid scripting skills in Python, Bash, or equivalent for automation tasks.
- Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
- Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
- Strong troubleshooting mindset and experience resolving production-level issues.
- Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.
Preferred Qualifications:
- AWS certifications (e.g., SysOps Administrator).
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- CI/CD pipeline, infra pipelines.
- AWS services like compute, network, storage, security.
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This is a remote position.
About Leegality:
Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.
We have multiple products across 2 categories:
Document Infrastructure:
Products that help businesses build paperless processes at scale:
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- Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
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Consent Infrastructure:
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- Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.
If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.
Curious about our impact? Explore our customer success stories: leegality.com/case-studies
Our Culture
At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.
We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:
- Flexible working hours
- Hybrid work setup
- Bi-annual performance appraisals
- A culture that rewards initiative, curiosity, and impact
If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.
Location: Hybrid
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We are looking for a Technical Lead – Python to lead the design, development, and evolution of scalable backend systems that power Leegality's products. This role combines hands-on backend development with technical leadership, enabling you to influence architecture, mentor engineers, and drive engineering excellence across the team.
You will work closely with Product, Design, QA, DevOps, and other engineering teams to build reliable, secure, and high-performance applications while fostering a culture of ownership, collaboration, and continuous improvement.
Key Responsibilities
- Lead the design, development, and maintenance of scalable backend applications using Python.
- Own the technical architecture of backend systems, ensuring scalability, reliability, maintainability, and security.
- Design, develop, and optimize RESTful APIs and microservices for high-performance applications.
- Drive architectural decisions, establish engineering best practices, and promote clean, maintainable code.
- Conduct code reviews and mentor engineers through technical guidance, pair programming, and knowledge sharing.
- Lead technical estimation, sprint planning, solution design, and execution for engineering initiatives.
- Optimize application performance through database tuning, caching, asynchronous processing, and efficient system design.
- Ensure high code quality through unit testing, integration testing, CI/CD pipelines, and automated deployment practices.
- Troubleshoot and resolve complex production issues while driving root cause analysis and long-term improvements.
- Evaluate and adopt new technologies, frameworks, and engineering practices to continuously improve the platform.
- Build and foster a high-performing engineering culture focused on collaboration, accountability, innovation, and continuous learning.
Desired Skills
- 7–11 years of experience in backend software development, with at least 2–4 years in a technical leadership role.
- Strong proficiency in Python and object-oriented programming concepts.
- Hands-on experience with Python frameworks such as Django, Flask, or FastAPI.
- Strong understanding of RESTful API design and development, authentication mechanisms (JWT/OAuth), and API security best practices.
- Experience designing scalable backend architectures, distributed systems, and microservices.
- Strong knowledge of relational databases such as MySQL or PostgreSQL, with experience in query optimization, indexing, and schema design.
- Exposure to NoSQL databases such as MongoDB and caching technologies like Redis.
- Experience with cloud platforms such as AWS, containerization using Docker, orchestration using Kubernetes, and CI/CD pipelines.
- Strong understanding of software engineering best practices, including design patterns, SOLID principles, code reviews, testing, and documentation.
- Experience with version control systems such as Git and modern development workflows.
- Excellent analytical, problem-solving, communication, and stakeholder management skills.
- Ability to balance hands-on development with technical leadership and delivery ownership in a fast-paced product environment.
- Experience working in SaaS or product-based organizations is preferred.
- Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, or ChatGPT is an added advantage.















