Fullstack Developer

Location : Mumbai

Big Picture (The Opportunity) :

Are you looking for an opportunity to advance your Career? & If you are able to maintain a positive attitude even when everything goes wrong, if you are detail oriented and self motivated with a passion to learn and improve your skills and knowledge, we have a perfect job for you !

What do we want from you ? (Our Expectations) :

• Zero to 2 years experience in Linux Operating System.
• Flexible working hours - able to support occasional nights, weekends, and call-ins, able to quickly adapt to a constantly changing faced paced environment. Open to travel to sites.
• An ideal person who is excited and motivated about running and supporting a production - grade critical infrastructure and looks for opportunities to improve processes with automation.

What are you required to do ? (Your Responsibilities) :

• Proactively maintain and develop all linux infrastructure technology to maintain a 24*7*365 uptime service.
• Engineering of systems administration-related various solutions for our various SAAS products and projects as well as operational needs.
• Proactively monitoring system performance and capacity planning.
• Providing technical support to customers for Applications, Operating systems, and networking.
• Will also be the first point of contact for our clients, where installations are placed on a permanent basis, for basic troubleshooting and problem solving.
• Fault finding, analysis and logging information for reporting of performance exceptions.
• Maintain best practices on managing systems and services across all environments.

Skills & Qualification Required (Add Value) :

• Graduate - Preferred to have Bachelor‘s Degree in Engineering, Computer Science or related field.
• He / She should be familiar with the installation and configuration of Linux operating systems and setup and operation of TCP/IP networking on Linux systems also familiar with Internet concepts including SMTP, IMAP, POP, HTTP, DNS, LDAP and related protocols.
• You should possess excellent communication skills .
• Knowledge of Email concepts, Helpdesk Concept , VoIP Concept , Cloud computing will be an added advantage.

About the Role

Pendo is looking for a Staff Software Engineer to lead teams building core product capabilities across Analytics, Guides, and Platform services. These are the systems that power how hundreds of millions of end users experience the software.

In this role, you will drive execution against business objectives, direct complex initiatives from kickoff through delivery, and build a team that operates with clarity and focus. You will set clear expectations, delegate effectively, and partner closely with product, design, and senior engineering leadership to keep teams aligned and moving. You default toward action, push teams to deliver value daily, and actively use AI tools as part of how you work.

If you're energized by directing high-impact teams, developing strong engineers, and building a culture where craft and velocity coexist, this role is a great fit.

What You'll Do

Team Leadership & Hiring

• Create an environment where engineers are encouraged to take risks, experiment, and challenge the status quo.
• Lead, mentor, and grow a team of engineers through clear expectations, coaching, and timely feedback.
• Own hiring end-to-end, partnering with recruiting to attract and close top engineering talent.
• Build an inclusive, high-performing team culture grounded in ownership, accountability, and continuous improvement.

Delivery & Execution

• Maintain a high bar for velocity, predictability, and quality.
• Own team execution against product and engineering goals.
• Partner with Product and Design to define roadmaps, scope work, and deliver high-quality outcomes.
• Identify and remove blockers, manage risks, and ensure strong planning and prioritization.

Cross-Functional Collaboration

• Work closely with product, design, infrastructure, and other engineering teams to deliver cohesive customer experiences.
• Align team priorities with broader organizational goals and strategy.

Operational Excellence

• Drive improvements in system reliability, performance, and scalability.
• Establish strong practices around monitoring, incident response, and continuous improvement.

What We're Looking For

• 8+ years of experience in software engineering.
• 3+ years of experience managing and growing engineering teams.
• Proven track record of hiring and building high-performing teams.
• Experience delivering complex, cross-functional initiatives in a product-driven environment.
• Strong technical foundation in backend, distributed systems, or full-stack development.
• Proven ability to lead teams through ambiguity and change while maintaining execution.
• Actively uses AI tools in day-to-day work and helps drive adoption across teams.
• Strong communication, organizational, and stakeholder management skills.

Nice to Have

• Experience working on analytics products, user-facing SaaS platforms, or data-intensive systems.
• Experience managing teams across both frontend and backend domains.
• Familiarity with modern cloud environments and scalable architectures.
• Experience working in distributed teams across multiple time zones.

Strong Engineering Manager / Lead Profiles

2

Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.

3

Mandatory (Experience 2) – Must have 2+ years of formal Engineering Manager experience with direct people-management responsibility (informal Senior Engineer / Tech Lead experience managing a team does not count)

4

Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.

5

Mandatory (Experience 4) – Must own technical direction and delivery for an engineering team/pod, including architecture, system design, code/PR reviews, execution planning, and engineering quality.

6

Mandatory (Experience 5) – Must have strong backend/software engineering experience with hands-on technical depth in building APIs, services, integrations, and scalable systems; specific language/framework can vary.

7

Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.

8

Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.

9

Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)

10

Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;

11

Preferred (Education) - Tier 1 engineering college

Strong Engineering Manager / Lead Profiles

2

Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.

3

Mandatory (Experience 2) – Must have 2+ years of formal Engineering Manager experience with direct people-management responsibility (informal Senior Engineer / Tech Lead experience managing a team does not count)

4

Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.

5

Mandatory (Experience 4) – Must own technical direction and delivery for an engineering team/pod, including architecture, system design, code/PR reviews, execution planning, and engineering quality.

6

Mandatory (Experience 5) – Must have strong backend/software engineering experience with hands-on technical depth in building APIs, services, integrations, and scalable systems; specific language/framework can vary.

7

Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.

8

Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.

9

Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)

10

Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;

11

Preferred (Education) - Tier 1 engineering college

Location: Bangalore

Department: Engineering

Reports to: SVP

Experience required: 6+ years

About Tracxn:

Tracxn (Tracxn.com) is a Bangalore-based product company providing a research and deal sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals working around the startup ecosystem.

We are a team of 600+ working professionals serving customers across the globe. Our clients include Funds like Andreessen Horowitz, Matrix Partners, GGV Capital, and Large Corporations such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team: 

Tracxn's Technology team is 60+ members strong and growing. The technology team is subdivided into multiple smaller teams, each owning one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team compared to an individual.

We value ownership, continuous learning, consistency, and discipline as a team.

Our Tech Stacks:

We work on an array of technologies, including but not limited to backend and frontend systems such as Java, Python, Spring Boot, Node.js, ReactJS, Next.js, Webpack, and Storybook; cloud and serverless platforms like AWS, etc; data and infrastructure technologies such as Elastic Stack (Elasticsearch), MongoDB, MySQL, Redis, Kafka, and Ansible; large-scale web crawling solutions; modern data pipelines and ETL workflows; and AI/ML-driven projects.

Job Overview:

We are looking for experienced software engineers with 6+ years of overall software development experience, including backend development and proven people-management skills. The ideal candidate will lead the engineering team(s), drive technical excellence, and ensure timely delivery of high-quality software solutions.

Job Responsibilities:

• Lead, mentor, and manage a team of software engineers
• Own technical planning, architecture discussions, and execution
• Collaborate with product managers and stakeholders
• Drive best practices in software development, testing, and deployment
• Conduct code reviews and ensure high engineering standards
• Manage delivery timelines, resource planning, and technical risks
• Support hiring, onboarding, and performance management of engineers

Job Requirements :

Professional Experience

•  Proven experience leading or managing software engineering teams
• Track record of delivering complex, scalable software systems
• Experience driving technical initiatives and influencing architectural decisions
• Strong collaboration experience with product, design, and cross-functional teams.

Technical Leadership & Management

•  Ability to mentor, coach, and grow engineers across different experience levels
• Experience conducting performance reviews and providing technical feedback
• Strong ownership of team delivery, timelines, and quality
• Experience balancing hands-on technical work with people management

Backend & System Architecture Expertise

• Strong proficiency in modern backend architectures, design patterns, and microservices architecture.
• Proficiency in at least one server-side programming language (e.g., Java, Python, etc.)
• Solid understanding of API design principles and implementation
• Hands-on experience with relational and non-relational databases and knowledge of data pipelines and data warehousing concepts.

Technical Competencies

• Strong system design and problem-solving skills
• Knowledge of caching strategies, performance optimization, and scalability
• Understanding of data modeling and query optimization
• Familiarity with search and indexing technologies
• Understanding of security best practices in backend systems

Culture:

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

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.

Job Description:

• Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
• CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
• Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
• Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
• Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
• Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
• Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
• Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.

Qualifications: 

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: 7 - 10 years of overall experience with relevant experience of at least 7 years in DevOps and served as a lead or senior engineer.

Software Development Engineer III (SDE3)

Location: Mumbai / Bangalore | Experience: 4+ Years 

About SolarSquare:

At SolarSquare we are building the Home-Energy brand of future India. We help homes switch to rooftop solar and move away from traditional coal electricity. We are a full-stack D2C residential solar brand - designing, installing, maintaining (after-sales) and financing solar systems for home-owners across India. 

In 3 years we have scaled to become the leading residential solar brand in India. We are obsessed with quality, customer service and innovating to make it simple for homes to switch to solar. We are looking for leaders to join us in this mission. 

Know us a bit better through these links: 

• How SolarSquare is Simplifying Residential Solar in India I Ft. Shreya Mishra and Neeraj Jain
• Featured by TIME Magazine- as World’s Top Greentech Companies of 2025 
• Solarsquare Raises $40 million in Series B Funding Round
• How SolarSquare has a chance to become a home energy brand in India
• Techcrunch SolarSquare article
• Elevation - Podcast with SolarSquare Founders
• Startup by IIT Grads Helps Indian Homes Run on Zero Electricity, Earns Rs 200 Crore in Revenues
• The Climate Conversations ft Solar Square
• Elevation Capital - SolarSquare

What this role is

You are an engineer who leads projects at the scope of a service or major subsystem.

That means: when a problem lands on your desk, it's usually ambiguous. Your job is to turn it into a clear problem statement, design a system to solve it, ship it through to production, and own how it behaves once it's there. You'll work with one or two engineers on most projects, and you'll be the technical person product, ops, and other engineering teams talk to about that domain.

You're not a senior individual contributor who only writes code for assigned tickets. You're not a tech lead who's stopped writing code. You're the person between those two — still hands-on, but increasingly the one shaping what gets built.

What you'll do

• Solve 2–4 complex problems a year end-to-end: shape the problem, design the system, ship it, monitor it.
• Design single-service systems independently. Define API contracts, data models, scale and reliability requirements. Document and review your design with peers before building.
• Turn ambiguity into clarity. Take half-formed product tasks and partner with PMs to define what's actually being built. Push back when the ask doesn't make sense.
• Stay hands-on. Write code that goes into production. Drive code reviews. Debug across service boundaries. Refactor when the codebase needs it.
• Mentor 1–2 junior engineers. Be someone's first reviewer. Pair when it helps. Take their growth as your responsibility, not a side activity.
• Be in hiring. Interview candidates regularly. Help shape the interview bar for your function.
• Own outcomes, not output. Track the business or operational metric your work moves. If it doesn't move, that's a problem you own — not a problem you delivered to.

What we're looking for

• Over 4 years of professional experience in software development, specifically focused on solving large-scale technical challenges.
• Expert-level proficiency in at least one major programming language (such as Java, GO, Rust, NodeJS etc) with a focus on writing scalable, maintainable, and unit-tested code.
• Strong command of object-oriented design, design patterns, and the creation of intuitive class-level interfaces.
• Hands-on experience with multi-threading, concurrency, and Test-Driven Development (TDD).
• Deep understanding of relational databases (Postgres) and various NoSQL technologies like HBase, Elasticsearch, or Aerospike, Cassandra
• Comprehensive knowledge of the full software development life cycle on Linux platforms.
• Proven ability to build highly scalable applications that manage complex business logic and massive datasets.
• A proactive, "go-getter" mindset characterized by high energy and dedication to task ownership.
• Experience thriving in fast-paced startup environments with a strong sense of commitment and accountability.
• A passionate drive to tackle complex, real-world problems through innovative engineering.
• You've made and defended technical decisions, picked up problems no one assigned, or built things people use that no one asked for.
• Strong fundamentals in your primary stack — concurrency, data modeling, debugging across systems, performance work. We're stack-agnostic for the right person.
• Experience designing systems with explicit attention to scale, reliability, and cost — not just functional correctness.
• Collaborate with a wide range of stakeholders to monitor project outcomes and iteratively refine features based on real-world impact.

About the company

The client is a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. They are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.

About the Job

We are seeking backend engineers to build and maintain the CI/CD security platform's backend systems and components (GitHub Actions). This high-impact role involves setting best practices and owning engineering processes, with contributions used by thousands of developers globally. Our primary languages are Golang and Node.js.

Requirements

• 2–5 years of experience, strong engineering fundamentals (cyber security background not mandatory), AI-native mindset, comfortable with a hands-on zero-to-one environment. We use Golang as our primary language.
• Must-haves: Golang backend programming; AWS/Azure/GCP background; scalable/fault-tolerant system design.
• For all engineering positions, prior early-stage startup experience is a must-have requirement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid understanding of software development principles, design patterns, and best practices.Expertise in building scalable and fault-tolerant systems.
• Strong collaborative and problem-solving skills.
• Self-motivated, creative thinker with a drive for continuous improvement.
• Experience in a startup or high-impact, outcome-driven environment.

Location

India remote. Candidates should be able to overlap a few hours with Pacific Time (PT) when working on urgent customer issues as required.

Responsibilities

• Design, develop, and maintain robust, scalable software solutions.
• Architect and implement CI/CD components (GitHub Actions).
• Deliver features incrementally in quick iterations.
• Write clean, efficient, and maintainable code following industry best practices.
• Conduct code reviews and provide constructive feedback.
• Troubleshoot and debug complex software issues promptly.

Why Join Us

• The company is at the forefront of supply chain security research and product development. They were the first to detect several major supply chain attacks in 2025 and 2026 such as the axios npm compromise, tj-actions, etc
• Their research and findings are regularly cited by major publications such as Bloomberg, TechCrunch, Hacker News, and Dark Reading. The Cybersecurity and Infrastructure Security Agency (CISA), the primary cybersecurity agency for the US federal government, has published several cybersecurity advisories citing our work
• In addition to having several enterprise customers, we have been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, Datadog, and others.
• Engineers joining now get to work on hard, high-impact problems at the intersection of security, AI, and open source, with meaningful equity upside at an early stage.

We are looking for a hands-on Engineering Lead who can own backend engineering, DevOps, and delivery management.

This is not a coordination-only role. You will contribute technically while establishing the processes, accountability, and

operating rhythm needed for predictable delivery. You will manage multiple engineers and effectively use AI coding

agents and automation tools to improve the team's output without compromising quality.

Key Responsibilities

• Own the architecture, development, deployment, and reliability of our backend systems.

• Lead engineers through clear goals, task breakdowns, ownership, reviews, and regular feedback.

• Establish a process-oriented delivery system covering planning, estimation, execution, testing, release, and

retrospectives.

• Translate product requirements into technical plans, milestones, dependencies, and measurable deliverables.

• Track execution proactively, identify delivery risks early, and communicate status clearly.

• Remain hands-on with critical development, debugging, architecture, code reviews, and production issues.

• Own CI/CD, infrastructure, observability, deployment practices, and operational readiness.

• Improve engineering quality through coding standards, automated testing, documentation, and review processes.

• Delegate work effectively across team members according to their strengths and development needs.

• Use AI coding agents and engineering automation to parallelise suitable work, while reviewing and validating all

outputs.

• Build a culture of accountability in which work has clear owners, acceptance criteria, deadlines, and definitions of

done.

• Collaborate closely with product and business stakeholders to balance speed, scope, quality, and technical debt.

What We Are Looking For

• 4+ years of backend engineering experience.

• At least 2 years of experience leading or managing an engineering team.

• Strong hands-on backend development experience with modern backend technologies and frameworks.

• Practical experience with cloud infrastructure, DevOps, CI/CD, containers, monitoring, and production operations.

• Experience working in a mature, process-oriented engineering environment.

• Demonstrated ability to improve delivery predictability and engineering throughput.

• Strong understanding of agile planning, estimation, sprint execution, incident management, and retrospectives.

• Ability to manage multiple people and concurrent streams of work.• Experience reviewing architecture, pull requests, test plans, and production-readiness requirements.

• Strong written and verbal communication skills.

• Ability to give direct, constructive feedback and hold team members accountable.

• Sound judgement about when to build, delegate, automate, or reduce scope.

AI-Assisted Engineering

The ideal candidate should be comfortable incorporating AI into the software-development lifecycle. This includes:

• Breaking work into tasks that can be delegated safely to coding agents.

• Running multiple human and agent-led workstreams concurrently.

• Providing agents with clear context, constraints, and acceptance criteria.

• Reviewing generated code for correctness, security, maintainability, and architectural fit.

• Using automation to accelerate testing, documentation, refactoring, and operational workflows.

• Measuring whether AI tooling produces genuine delivery improvements.

We do not expect blind reliance on generated output. The Engineering Lead remains accountable for the quality and

correctness of everything shipped by the team.

Success in the First 90 Days

• Understand the existing architecture, infrastructure, team capabilities, and delivery bottlenecks.

• Take ownership of backend and DevOps execution.

• Introduce a consistent planning, tracking, review, and release cadence.

• Establish visibility into ownership, progress, dependencies, and delivery risks.

• Improve CI/CD, testing, monitoring, and production-readiness practices.

• Create an effective delegation model across engineers and AI agents.

• Deliver at least one meaningful product or platform milestone predictably from planning through production.

Nice to Have

• Experience scaling an early-stage or growing engineering team.

• Experience hiring, mentoring, and performance-managing engineers.

• Experience with infrastructure as code, security practices, and cloud-cost optimisation.

• Experience managing migrations, reliability improvements, or legacy-system modernisation.

• Previous experience introducing AI-assisted development workflows into an engineering team.