Software Solution Architect

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

• Define and drive the technology vision, architecture and long-term platform roadmap.
• Oversee the architecture, design and delivery of highly scalable enterprise systems.
• Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

• Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
• Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
• Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

• Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
• Own the GenAI/LLM solutions architecture.
• Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
• Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
• Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

• A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
• Collaborate with executive leadership on business strategy, client requirements and product delivery.
• Build, mentor and scale high-performing engineering teams with a growth mindset.
• Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

• Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
• Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
• Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

• Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
• A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
• Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
• Proven leadership in defining and executing technology strategy and platform roadmaps.
• Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

• Strong full-stack engineering background (Java, Python, JavaScript frameworks).
• Expertise with JS frameworks such as React, Angular and Node.js.
• Experience building and scaling distributed systems and microservices.
• Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
• Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

• Product and delivery management expertise, end to end, including delivery and customer support.
• Excellent communication, with the ability to influence executive stakeholders.
• High technical proficiency combined with strong business acumen.
• Strong analytical and decision-making skills.

• Design and implement scalable IoT solutions from sensor to cloud, ensuring seamless integration between

vehicle hardware (fuel sensors, GPS trackers, OBD devices) and the Anytime Diesel platform

• Integrate industrial and automotive sensors, microcontrollers, and gateways with the platform

• Develop, optimize, and troubleshoot data flow using protocols such as CAN bus, Modbus, RS485, TCP, and

RTU

• Manage the full IoT device lifecycle across the fleet — provisioning, remote configuration, health monitoring,

and OTA/FOTA firmware updates

• Collaborate with software, data, and operations teams to define data models and ensure clean data ingestion for

fleet analytics

• Conduct testing, debugging, and performance analysis of embedded firmware and IoT systems using tools like

oscilloscopes and logic analyzers

• Create technical documentation — architecture diagrams, API specs, and deployment guides

Work Mode: Full-time, in-person

Reporting To: VP – Software

Job Description

We are looking for a hands-on Technical Lead Engineer to lead the design, development, and delivery of our Head-End System (HES), Meter Data Management (MDM), and Smart Metering platform. The role requires strong backend engineering expertise, deep understanding of smart metering and utility systems, and the ability to guide a development team through architecture, implementation, integration, testing, deployment, and production support.

The ideal candidate will have practical experience building scalable IoT or utility platforms involving smart meter communication, DLMS/COSEM protocols, real-time data acquisition, validation, event processing, command execution, and integration with enterprise systems such as billing, NMS, OMS, and analytics platforms.

Key Responsibilities

• Lead end-to-end technical development of HES, MDM, AMI/AMR, and smart metering modules.
• Design scalable backend architecture for meter communication, data ingestion, validation, processing, storage, and reporting.
• Implement and guide development of DLMS/COSEM IEC 62056 based meter communication.
• Integrate with smart meters, DCUs/gateways, billing systems, NMS, OMS, analytics systems, and third-party utility platforms.
• Lead Java/Spring Boot backend development using REST APIs, messaging queues, socket programming, and distributed system patterns.
• Design high-volume data pipelines for interval data, events, alarms, billing reads, and meter health data.
• Ensure performance, scalability, fault tolerance, database optimization, and reliable production operations.
• Mentor developers, review code, define engineering standards, and guide sprint-level technical execution.
• Work with product, project, QA, deployment, and customer teams to convert utility requirements into robust technical solutions.
• Own technical troubleshooting for production issues, performance bottlenecks, device communication failures, and integration defects.
• Prepare technical documentation, architecture diagrams, API specifications, and deployment guidelines.

Required Skills

• 6+ years of software development experience, including 3+ years in smart metering, HES, MDM, AMI, IoT, or utility platforms.
• Strong hands-on experience with Java, Spring Boot, REST APIs, JDBC/JPA, multithreading, backend system design, debugging, performance tuning, and production support.
• Practical experience with DLMS/COSEM, IEC 62056, Gurux or similar frameworks, smart meter communication, meter reads, events, commands, and remote operations.
• Strong understanding of communication protocols such as TCP/IP, socket programming, FTP/SFTP, MQTT/HTTP, and related integration patterns.
• Experience with Kafka/RabbitMQ, MySQL/MariaDB, MongoDB, Redis, ClickHouse, Apache Solr, or similar messaging and data platforms.
• Knowledge of scalable architecture, including clustering, replication, load balancing, caching, retries, failover, monitoring, and large-scale time-series data handling.
• Experience leading backend engineering teams, owning technical delivery, reviewing code, and mentoring developers.
• Preferred: experience with utility/DISCOM projects, AMISP programs, billing engines, prepaid metering, NMS/OMS, energy accounting, cloud services, CI/CD, Docker/Kubernetes, observability, and cybersecurity for smart metering systems.

Education Requirement

Bachelor’s degree in Computer Science, IT, Electronics & Communication, Electrical Engineering, or a related engineering discipline is preferred. Candidates with strong hands-on HES/MDM, AMI, DLMS/COSEM, IoT, or utility software experience may be considered even with a different academic background.

Join our product development team at Planview as a Senior Software Engineer I and become a pivotal force on the Viz Core Team. This role offers the unique opportunity to shape and lead the development of data-processing pipelines and APIs that are at the heart of our software solutions. These solutions are designed to streamline and enhance the efficiency of software delivery, resonating deeply with software engineers who strive to build better and faster.

At Planview Viz, which is powered by the innovative “Flow Framework,” you will tackle complex data challenges and develop scalable solutions within an AWS cloud environment. Your efforts will be crucial in revolutionizing how businesses harness and interpret vast amounts of workflow data, transforming it into actionable insights that propel organizational efficiency and effectiveness.

Responsibilities (What you'll do)

• Create and refine powerful data-processing architectures that integrate seamlessly with a diverse array of external tools, enhancing the way software is delivered across industries.
• Drive operational excellence by critically analyzing problems, defining requirements, and devising robust solutions that push the boundaries of technology.
• Lead and inspire a team of talented engineers, promoting a culture of ownership, meticulous attention to quality, and proactive problem-solving.
• Stay at the cutting edge of technology by updating and expanding your team’s knowledge of cloud architectures, data processing, and advanced analytics, ensuring that you and your team remain leaders in technological innovation.
• Make a direct impact on the efficiency and effectiveness of software delivery worldwide through innovation and leadership.

Qualifications (What you'll bring)

Who We’re Looking For

The ideal candidate is a seasoned professional in cloud software development with a strong foundation in data processing and scalable software systems. You thrive in collaborative environments and are passionate about advancing cloud technology and data architecture to new heights. You are a leader who enjoys mentoring, guiding, and inspiring others.

Preferred Qualifications

Skills, Knowledge, and Expertise

• A degree in Computer Science, Engineering, or a related field.
• 6+ years of experience with a modern programming language, with a focus on back-end systems and cloud-based technologies.
• Strong capability in architecting and designing robust, scalable software systems.
• Proficiency in AWS or another popular cloud platform.

Additional Qualifications

• Experience with big-data technologies such as Spark and Apache Kafka.
• Experience with Java (version 17), Scala, or other JVM programming languages.
• Experience with tools such as Amazon Redshift and MongoDB.
• Experience with continuous integration and continuous deployment tools such as GitHub, Jenkins, Travis CI, or similar platforms.
• Proficiency in test-driven development.
• Experience with containers and orchestration tools such as Kubernetes.
• Experience working on remote or distributed teams and projects.

What you'll do

Own a client end to end. Learn their business, find what to automate or rebuild, and lead the work that ships it.

Turn business problems into technical solutions sit in the call, understand the real problem, design the fix, and decide how it gets built.

Stay hands-on. You'll still write code, build integrations, and work with APIs every day.

Build on whatever the client runs Zoho, Salesforce, Azure, similar platforms, and custom apps where needed.

Run delivery: scope it, sequence it, ship it, support it. The timeline is yours.

Review code and designs. Mentor the developers on your projects and unblock them fast.

Be the escalation point when something breaks or an integration misbehaves.

Own client communication on the technical side status, tradeoffs, bad news, early.

Keep the bar high: clear docs, clear updates, clear commit history.

What we're looking for

4–7 years shipping software, with real depth in REST APIs and system integrations.

Experience leading projects or small teams — the person others check with before they build.

Strong with business platforms (Zoho, Salesforce, or similar). Much of the leverage lives there, not in custom code.

You can sit with a non-technical client, understand the problem, and come back with a working solution.

Still enjoy building. This is technical leadership, not coordination.

Self-driven. You'll often be the senior-most engineer on the account.

Why you'll love this role

Full ownership from first call to delivery — you run projects, not a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

A step into technical leadership without giving up the hands-on work.

IoT Engineer – Telematics & C#/.NET

Experience :05+ Years

Location : Ahmedabad

ABOUT MYFMS

MyFMS is Micpoint B.V.'s SaaS platform for fleet, facility, and access management, built on .NET and C#, and hosted on our own private cloud in the Netherlands, spread across two data centers. A key part of MyFMS is its connector layer: the software that links telematics and IoT hardware in the field (such as GPS trackers and CAN-bus interfaces) to the platform. To further build out and standardize this layer, we're looking for an IoT Engineer with C#/.NET development experience.

WHAT YOU'LL DO

•    Implement and maintain telematics integrations in C#/.NET on MyFMS's connectors, which link telematics hardware (e.g. GPS trackers and CAN-bus interfaces) to the platform.

•    Investigate which configurations, protocol settings, and command sets of supported hardware (e.g. CAN/LVCAN parameters) can serve as a standard, and document them.

•    Research and manage firmware versions for telematics devices, and advise on firmware updates and compatibility.

•    Translate device-specific protocols into a uniform, reusable data structure within the platform.

•    Document device configurations and firmware standards in Markdown for the development team and support organization.

•    Work according to our DevOps way of working, integrating your work into the CI/CD pipelines we use for testing and releases.

•    Collaborate with the (international) development team on the architecture of the connector layer and contribute to the technical roadmap.

•    Support troubleshooting of field issues, such as connectivity or synchronization problems with hardware.

•    Build simulators for telematics hardware, so protocols, configurations, and firmware behavior can be tested without needing physical devices.

•    Use AI, and work with and train models, to build simulations and test setups.

•    Ensure the connector integrations are fully testable (including unit and integration tests), safeguarding the quality of the telematics integrations.

WHAT THE ROLE REQUIRES

•    Bachelor's/Master's level thinking and working ability in a technical field, e.g. Electrical Engineering, Embedded Systems, Computer Science, or similar.

•    Demonstrable experience with software development in C#/.NET.

•    Affinity with or experience in IoT/telematics hardware, such as GPS trackers, CAN-bus interfaces, and sensors.

•    Experience with Ruptela, Teltonika, and Digital Matter hardware is a plus.

•    Knowledge of communication protocols such as CAN, LVCAN, OBD-II, MQTT, and/or TCP/IP is a plus.

•    Experience reading, configuring, or updating firmware on embedded devices is a plus.

•    Experience building test or simulation tools (e.g. device or protocol simulators) and with test automation (unit/integration tests) is a plus.

•    Experience with DevOps practices and CI/CD pipelines (incl. Azure DevOps) is a plus.

•    Affinity with AI/machine learning, for example training models for simulations and test setups, is a plus.

•    You're analytical and structured: you enjoy bringing order to a wide range of device configurations and documenting what you find.

•    You value quality assurance and structurally build testability into your own work.

•    You're proficient in English, spoken and written (the team's working language); Dutch is not required.

We are looking for an experienced Sr. Software Engineer to drive the design, architecture, and delivery of scalable B2B products from our Bangalore office. This role requires a strong hands-on technologist who can lead a team of engineers, make sound architectural decisions, and collaborate cross-functionally with Product, Design, DevOps, and Customer Success teams.

As a Sr. Software Engineer, you will play a critical role in shaping the technical direction of our platform, ensuring high-quality engineering practices, and delivering enterprise-grade solutions to our customers. This job can quickly grow into a Technical Lead position.

**Key Responsibilities**

🔹 Technical Leadership

Own end-to-end technical architecture and system design for core product modules.

Drive scalable, secure, and high-performance backend and frontend solutions.

Conduct design reviews, code reviews, and ensure adherence to engineering best practices.

Evaluate and introduce new technologies where appropriate.

🔹 Team Management

Lead, mentor, and grow a team of 5–6 engineers.

Foster a culture of ownership, accountability, and innovation.

Support hiring, onboarding, and mentoring.

🔹 Product Delivery

Collaborate closely with mangement to translate business requirements into technical solutions.

Drive sprint planning, estimations, and delivery timelines.

Ensure predictable, high-quality releases aligned with business goals.

🔹 Quality & DevOps

Champion CI/CD practices, automated testing, and DevOps processes.

Ensure system reliability, uptime, security, and performance monitoring.

Participate in incident management and root cause analysis.

🔹 Stakeholder Collaboration

Work cross-functionally with Sales, Customer Success, and Support teams for enterprise deployments.

Communicate technical decisions clearly to non-technical stakeholders.

**Required Qualifications**

4+ years of software development experience in product-based companies.

Strong experience with modern backend technologies (e.g., Java, Node.js, Python, or similar technologies).

Experience with frontend frameworks (React, Angular, or similar).

Solid understanding of microservices architecture and RESTful APIs.

Experience with cloud platforms (AWS, Azure, or GCP).

Strong knowledge of databases (SQL and NoSQL).

Experience building scalable B2B SaaS products.

**Preferred Qualifications**

Experience with multi-tenant SaaS architecture.

Familiarity with enterprise integrations (SSO, APIs, third-party systems).

Experience handling high-scale systems with large enterprise clients.

Exposure to security and compliance standards (ISO, SOC2, GDPR).

**Key Competencies**

Strong problem-solving and system design skills.

Excellent communication and stakeholder management skills.

Ability to balance hands-on coding with leadership responsibilities.

Strong ownership mindset with attention to detail.

Ability to thrive in a fast-paced, product-driven environment.

**What We Offer**

Competitive compensation and performance bonuses.

Opportunity to work on cutting-edge B2B products.

Collaborative and growth-oriented culture.

Health insurance and wellness benefits.

If you are passionate about building scalable B2B platforms and leading high-performing engineering teams, we would love to hear from you.

Read This Before Anything Else

We have 6 developers who can ship. What we don't have is someone who turns that into a real engineering function: real architecture, real leverage, real AI-driven advantage. If that gap sounds like an opportunity rather than a headache, you're in the right place. If it sounds like a lot of undefined work with no playbook handed to you, this one probably isn't for you. That's completely okay. There are plenty of great roles that fit differently.

About CraftMyPlate

CraftMyPlate is Hyderabad's go-to platform for food experiences for micro-events: house parties, birthdays, office celebrations, festive gatherings, and more. We're building the operating system for how India discovers, customises, and orders food for smaller events. We're backed by established founders and investors, and we're funded and growing fast. The next phase of that growth runs through engineering.

Where We Stand

Some numbers, because they matter more than adjectives. Order volume has grown 50x in two years, and we're compounding at roughly 3x year over year, without giving up equity to fund it. That means the business runs on its own economics. The growth is real demand, not runway bought with dilution, and every efficient architectural decision this role makes directly protects that.

Most people size up an opportunity by asking what's going to change in ten years. The more useful question, and the one this company is built around, is what won't change. People will keep gathering. They'll keep celebrating, hosting, and marking festivals, in 10 years and in 20. That permanence is the bet. You're not building infrastructure for a trend cycle. You're building for a category that outlasts the current AI wave, the next funding round, and probably us too.

The Technical Reality

Here's an honest read of the engineering problem, not a sanitized version of it.

Event-driven commerce doesn't scale like typical e-commerce. Demand isn't smooth, it's spiky: weekends, festival calendars, and event dates create real load concentration, and each order is tied to a hard deadline that can't slip the way a shipped package can. That has direct architectural consequences: systems need to handle bursty, unpredictable traffic without paying for idle capacity the rest of the time, which is exactly why we're serverless-first on AWS rather than running a fixed fleet sized for peak.

Underneath that, every order touches multiple systems that have to stay consistent: kitchen and vendor fulfillment status, inventory across partners, payment gateway settlement, and refunds, often in real time and often across more than one vendor for a single event. Getting that consistency right across SQL and NoSQL stores, without it becoming a source of support tickets and manual reconciliation, is a real architecture problem, not a CRUD problem.

The AI-agent layer is the next lever, and it's a business lever as much as a technical one. Every workflow we can hand to a well-orchestrated agent instead of a new hire is a workflow that scales without adding headcount, which is exactly how a company grows 3x a year without diluting equity to fund the team behind it. That's why agent orchestration across multiple LLMs, using LangGraph, sits in the "go deep" tier of this role rather than being a nice-to-have.

You'll likely find some of this framing right and some of it worth challenging once you're actually in the codebase. That's expected, and honestly preferred over someone who just nods along.

Why This Role Exists

You'll be the most senior technical person in the company, reporting directly to the founder. Not a manager brought in to run standups. An owner. You set the architecture, you write code yourself, and you make the team materially better. You also own where AI and automation take this company next, starting with our first in-house AI agent product (details shared in the interview), and expanding from there into how the company runs, department by department: HR, finance, marketing, design, development, all sitting on an engineering layer that you design.

If you've outgrown a role where you plan but don't build, or where good ideas die in a committee, this is built to be the opposite of that.

What You'll Own

• Architecture, end to end. Scalable, cost-efficient systems from day one, not "fix it later" engineering. You own the decisions and their long-term consequences.
• Hands-on building. You are still writing code and shipping. This isn't a seat where you review other people's work all day. You lead by building.
• The engineering team. Directly manage, mentor, and level up our 6 developers. Build the technical bar, the review culture, and the calibration that lets the team ship independently.
• The AI-agent roadmap. Own the architecture behind our first AI agent product, then the broader strategy for AI agents and automation across every function in the company, with engineering as the layer underneath all of it.
• Team scaling. Build the next layer of leads under you so execution quality scales without you being the bottleneck.
• Technical accountability. When something breaks, you fix it. You don't escalate and wait.

Our Stack, and the Depth We Expect

Not everything on this list needs the same level of mastery. Some of it you need to own at an architectural level. The rest you need to be strong enough to build yourself, direct the team on, or delegate to AI agents with confidence.

Go deep here. This is where the real architecture decisions live, and where the business impact is highest:

• AWS, serverless first. You should be genuinely well versed in AWS application development, not just "have used AWS." You should be able to design and guide serverless architecture (Lambda, API Gateway, DynamoDB, Step Functions, and similar) as our default way of building, because our demand curve is spiky by nature and fixed infrastructure is money left on the table.
• TypeScript, our primary language across backend and frontend.
• Agent orchestration across multiple LLMs, using LangGraph. This is core to our AI roadmap and our path to scaling operations without scaling headcount. You own how it's architected, not just how it's used.

Working proficiency. Build it yourself, direct the team, or hand it to an AI agent and know if the output is right.

This Is You If

• You've built and shipped real production systems yourself, not just reviewed other people's architecture from a distance.
• You go deep wherever the problem is, and you're comfortable owning the exact stack described above, not just "full-stack" in the abstract.
• You've made engineers around you measurably better, whether or not you've held the title for it yet.
• You're already using AI coding tools and agents seriously, like Claude, Cursor, or similar tools, as part of how you build, not as something you tried once. We'll likely explore this together in the interview.
• You have a bias toward leverage over hours. You'd rather automate or systematize a problem than grind through it. But when something's live and needs to be done right, you see it through completely, with no half-finished work.
• You want to build something for years, not land somewhere comfortable. We'll know the difference from how you talk about your last three years.

This Might Not Be the Right Fit If

• You'd prefer a stable, well-defined role with clear boundaries and someone else making the calls. That's a fair thing to want, just not what this is.
• You'd rather receive direction than bring us architecture and AI strategy yourself.
• You haven't yet gotten hands-on with AI coding tools in your daily work.
• You're drawn more to the title than the work behind it.

If none of that sounds like you, we'd love to hear from you.

Requirements

• 5 to 7 years of experience in software engineering, with real ownership of architecture-level decisions, not just feature delivery.
• Prior experience leading or mentoring engineers, formally or informally.
• Tier-1 or Tier-1+ engineering college strongly preferred (IIT, BITS, top NIT tier, or equivalent). We'll consider other institutions only with clearly commendable, verifiable work: real systems you can walk us through in depth, strong open-source contributions, or a track record that speaks for itself. Pedigree is a proxy for speed, not a checkbox. We test for the underlying ability regardless.
• Comfortable in an early-stage environment: undefined problems, few processes, and the expectation that you help define both.

Compensation

Competitive, with equity. We're formalizing a structured ESOP program alongside this hire. Specific numbers are discussed directly in later interview rounds.

If reading this got you a little excited about what you'd build here, we'd genuinely love to talk. If it didn't quite land, no hard feelings. We just want the right fit for both sides.