Tech Lead - Backend

Strong Tech Lead / Staff Engineer / Lead Engineer Profiles

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Mandatory (Experience 1) - Must have minimum 6+ years of overall Software Engineering/Development experience building production backend systems.

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Mandatory (Experience 2) - Must have Tech Lead ownership, with experience setting technical direction, architecture, frameworks, or engineering standards used by other engineers.

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Mandatory (Experience 3) - Must have strong hands-on Backend development experience with deep proficiency in at least one backend programming language. (Python, Java, Golang etc)

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Mandatory (Experience 4) - Must have strong System design/distributed systems experience, including architectural trade-offs, scalability, failure modes, reliability, and long-term maintainability.

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Mandatory (Experience 5) - Must have strong CS fundamentals in Data Structures & Algorithms, Operating Systems, and Networking, with the ability to apply them to complex backend/system problems

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Mandatory (Experience 6) - Must have owned complex, ambiguous, or business-critical engineering problems end-to-end, demonstrating clear technical judgment, trade-offs, problem-solving, and measurable technical/business impact; not limited to feature implementation.

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Mandatory (Experience 7) - Must have formal technical leadership experience, including mentoring Senior Engineers, conducting design/code reviews, driving engineering quality, and leading technical decisions across a team.

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Mandatory (Experience 8) - Must be a hands-on IC + Tech Lead, with approximately 70–80% hands-on coding/engineering involvement, not a pure people-management profile.

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Mandatory (Company) - Product Companies / Startups / B2B SaaS

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Mandatory (Education) - CS degree or equivalent (B.Tech/B.E./B.S.)

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Preferred (Skills) - Experience with Kafka/NATS/RabbitMQ, AWS, Docker/Kubernetes, CI/CD, observability, security/compliance, multi-tenant systems, and financial/billing platforms.

Role: Java Backend Lead

Experience: 9.5+ Years

Location: Hyderabad / Bangalore

Notice Period: Immediate to 15 Days

Interview Process: All Rounds Virtual

Mandatory Skills

• Strong hands-on experience in Java
• Spring Boot
• Microservices
• Kafka
• Strong technical/lead experience

Job Description

We are looking for an experienced Java Backend Lead with 9.5+ years of experience in backend application development and technical leadership.

The candidate should have strong expertise in Java, Spring Boot, Microservices, and Kafka, along with experience leading technical teams and delivering scalable backend solutions.

Key Responsibilities

• Design and develop scalable backend applications using Java and Spring Boot.
• Develop and maintain Microservices-based applications.
• Work extensively with Kafka for event-driven applications.
• Provide technical leadership and guide development teams.
• Participate in architecture, design, coding, code reviews, and troubleshooting.
• Collaborate with cross-functional teams to deliver projects successfully. 

Looking for strong experience in Java, Spring Boot, Spring Cloud, Microservices, System Design, Kafka, Redis, Cloud, Docker & Kubernetes.

FinTech / Banking experience will be an added advantage.

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.

We’re seeking a highly skilled, execution-focused Senior Backend Engineer with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities—

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews. 

Requirements—

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits—

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

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:

1. Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
2. Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
3. Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

1. Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
2. 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

Role Overview

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.

Required Experience: 10–15 years (with at least 3–5 years in leadership roles)

● 10–15 years of overall experience in backend engineering, with strong exposure to

Python and/or Golang.

● 3–5 years of experience managing engineering teams.

● Proven experience delivering large-scale, distributed systems in production

environments.

● Strong understanding of microservices, cloud-native architecture, and DevOps

practices.

● Hands-on background in backend engineering (able to guide teams technically, even

if not coding daily).

● Familiarity with CI/CD pipelines, observability, and performance optimization.

● Experience in financial services or high-transaction domains is a plus.

● Experience leading teams that have utilized AI-driven development practices (e.g.,

agentic coding, LLM integration) to improve productivity and innovation is a

significant advantage.

Skills

● Excellent leadership and people management abilities.

● Strong communication and stakeholder management skills.

● Ability to balance technical depth with business priorities.

● Problem-solving mindset with a focus on delivery and impact.

● Passion for building engineering culture and improving developer experience.

Supercharge Your Career as a Principal Lead Developer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

Technoidentity is building a high-impact Temporal Capability Center to design, deliver, and scale resilient workflow-orchestration solutions for enterprise customers. We are seeking a hands-on, technically strong Principal Lead Developer who combines deep software-engineering expertise with solution-architecture leadership, distributed-systems knowledge, and an ownership mindset.

This role is suited to a resourceful engineer who can independently take multi-faceted business and technical requirements from discovery through design, implementation, rollout, and operational improvement. You will work directly with overseas clients, shape architecture decisions, lead multiple technical workstreams, and mentor junior developers while remaining actively involved in code, design reviews, and delivery.

The ideal candidate has strong practical experience in Python, Java, and/or TypeScript, has experience with Cloud Platforms, understands modern AI-assisted engineering practices. Experience with distributed workflow solutions using orchestration platforms such as Temporal, Cadence, Camunda, or similar technologies will be preferred, but is not a requirement.

Requirements

What Will You Be Doing?

• Lead the end-to-end technical delivery of workflow-orchestration and distributed-systems solutions for enterprise clients.
• Design robust, scalable, secure, and observable architectures using durable execution, asynchronous messaging, APIs, event-driven patterns, and cloud-native components.
• Build production-grade services and workflow implementations using Python, Java, and/or TypeScript.
• Design and implement long-running business processes using orchestration frameworks such as Temporal, Cadence, Camunda, or equivalent platforms.
• Apply distributed-systems principles to address reliability, idempotency, retries, timeouts, compensating transactions, eventual consistency, failure recovery, and data consistency.
• Design and implement Saga patterns, including orchestration-based and choreography-based approaches, for multi-service business transactions.
• Lead architecture discovery sessions, technical workshops, solution presentations, and design reviews with overseas clients and internal stakeholders.
• Translate business requirements into clear solution architectures, implementation plans, technical specifications, estimates, and delivery milestones.
• Drive multiple concurrent technical streams, identify dependencies and risks early, and maintain delivery quality under changing priorities.
• Establish engineering standards for workflow design, API contracts, error handling, versioning, testing, deployment, observability, and operational readiness.
• Use AI-assisted SDLC practices responsibly to improve developer productivity, code quality, test coverage, documentation, and delivery velocity.
• Design and contribute to agentic orchestration solutions, including coordination of AI agents, tool/API integrations, workflow state management, guardrails, human-in-the-loop controls, and evaluation approaches where relevant.
• Perform hands-on development of critical components, prototypes, integrations, and reference implementations.
• Conduct code reviews and architectural reviews, ensuring solutions are maintainable, performant, secure, and aligned with engineering best practices.
• Mentor and guide junior developers; support technical growth through pairing, reviews, reusable patterns, technical sessions, and constructive feedback.
• Collaborate with delivery, product, platform, QA, DevOps, security, and client teams to ensure successful implementation and production adoption.
• Contribute reusable assets, accelerators, templates, documentation, and best practices to the Temporal Capability Center.

Benefits

What Makes You the Perfect Fit?

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, with 6+ years of relevant work experience.
• Significant professional software-development experience, including experience leading technical delivery and mentoring engineering teams.
• Strong hands-on proficiency in at least one of the following languages:

o  Python

o  Java

o  TypeScript

• Demonstrated experience designing and building distributed, scalable, highly available, or event-driven systems.
• Strong understanding of microservices architecture, REST and/or asynchronous APIs, message-driven systems, and integration patterns.
• Practical expertise with distributed-systems concerns, including:

o  Idempotency and duplicate-message handling

o  Retries, backoff, timeouts, and circuit-breaking strategies

o  Failure handling and recovery

o  Eventual consistency and data synchronization

o  State management for long-running processes

o  Observability, logging, metrics, tracing, and operational debugging

• Strong understanding and practical application of the Saga pattern and compensating-transaction design.
• Experience designing solution architectures and communicating technical trade-offs to both engineering and business stakeholders.
• Ability to lead junior developers through technical direction, task decomposition, code review, and mentorship.
• Strong written and verbal communication skills in English.
• High ownership, self-motivation, adaptability, and the ability to make sound decisions in ambiguous and fast-moving environments.

Preferred Qualifications

• Production experience with Temporal, Cadence, Camunda, AWS Step Functions, Azure Durable Functions, Netflix Conductor, Apache Airflow, or comparable orchestration technologies..
• Experience migrating from legacy schedulers, BPM platforms, or synchronous microservice flows to durable workflow orchestration.
• Experience building agentic or AI-enabled applications using LLMs, tool calling, agent frameworks, retrieval-augmented generation, MCP, guardrails, or evaluation frameworks.
• Practical use of AI coding assistants and AI-aided SDLC workflows for planning, implementation, testing, code review, documentation, and troubleshooting.
• Cloud-native development experience on AWS, Azure, Google Cloud Platform, or a hybrid-cloud environment.
• Experience with Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code, and container-based deployments.
• Experience with event-streaming and messaging platforms such as Kafka, RabbitMQ, cloud queues, or pub/sub systems.
• Experience with relational and NoSQL databases, data-modeling strategies, and transactional/outbox patterns.
• Experience with API gateways, security controls, OAuth/OIDC, secrets management, and secure service-to-service communication.
• Familiarity with domain-driven design, event sourcing, CQRS, and enterprise integration patterns.
• Experience in technical consulting, pre-sales support, solution accelerators, or client-facing technical leadership.

Leadership Expectations

As a Principal Lead Developer, you will be expected to:

• Act as a trusted technical advisor to clients and internal delivery teams.
• Balance architecture leadership with hands-on engineering execution.
• Proactively identify problems, propose practical solutions, and drive them to completion without waiting for detailed direction.
• Manage and prioritize several workstreams while communicating progress, risks, decisions, and dependencies clearly.
• Raise engineering quality through reusable standards, design patterns, code reviews, and mentoring.
• Build confidence with clients through technical depth, clarity, responsiveness, and reliable delivery.
• Foster a collaborative, accountable, learning-oriented engineering culture within the Temporal Capability Center.

Success Measures

Success in this role will be measured by:

• Delivery of reliable, scalable, and maintainable orchestration solutions that solve real client problems.
• Quality of solution architecture, code, technical documentation, and operational readiness.
• Effective application of workflow-orchestration and Saga patterns to complex distributed business processes.
• Ability to independently lead client-facing technical discussions and turn them into executable delivery plans.
• Delivery predictability across multiple concurrent technical initiatives.
• Measurable improvement in engineering productivity and quality through AI-assisted SDLC practices.
• Growth, engagement, and technical effectiveness of junior developers under your guidance.
• Contribution of reusable Temporal Capability Center assets, reference architectures, and best practices.

Why Join Technoidentity’s Temporal Capability Center?

• Work on complex, high-value enterprise workflow and distributed-systems challenges.
• Help shape a specialized capability center focused on durable execution, orchestration, AI-enabled delivery, and modern architecture.
• Collaborate with overseas clients and multidisciplinary global teams.
• Influence technical standards, reusable accelerators, and the future direction of orchestration solutions at Technoidentity.
• Take on a role with meaningful architecture ownership, technical leadership, and hands-on engineering impact.

Technical Architect – Product Engineering

Experience: 15+ Years

Location: Pune, India

Employment Type: Full-time

Desired Skills: Python, Technical Architecture, AWS, Microservices, SaaS / Multi-tenant Architecture, Kubernetes, System Design

About the Role

We are looking for a Senior Technical Architect to lead the architecture, design, and technical evolution of an enterprise SaaS product. This is a hands-on leadership role requiring deep technical expertise, strong product engineering experience, and the ability to build scalable, secure, and high-performance platforms.

The ideal candidate should be passionate about solving complex engineering problems, driving innovation, mentoring development teams, and effectively leveraging AI to accelerate software development.

Key Responsibilities

• Own the overall product architecture and technical roadmap.
• Design and build scalable, secure, and highly available enterprise applications.
• Lead the design and implementation of new product features from concept to production.
• Remain hands-on with coding and contribute to critical product components.
• Drive architecture reviews, code quality, performance optimization, and engineering best practices.
• Lead cloud architecture, security, scalability, and DevOps initiatives.
• Evaluate and adopt modern technologies to improve product capabilities and engineering efficiency.
• Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) to accelerate software development, code reviews, testing, documentation, debugging, and productivity.

Required Skills & Qualifications

• 15+ years of software product engineering experience with at least 5 years in a Technical Architect role.
• Strong hands-on expertise in Python and modern backend frameworks.
• Deep experience with AWS services and cloud-native application architecture.
• Strong understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Docker, Kubernetes, and container orchestration.
• Experience designing microservices, REST APIs, event-driven architectures, and distributed systems.
• Strong knowledge of SQL and NoSQL databases.
• Experience with scalable SaaS platforms, multi-tenant architectures, and secure application design.
• Excellent understanding of software design patterns, performance tuning, observability, and system reliability.
• Strong analytical, problem-solving, and decision-making skills.

About the Role

We are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.

You will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.

Example Project

Design and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:

• Generating client proposals using historical SharePoint data and CRM insights
• Summarizing meeting transcripts
• Drafting follow-up communications
• Feeding structured insights into dashboards and workflow tools

The solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.

Key Responsibilities

• Architect and implement AI workflows using LLMs, vector databases, and automation frameworks
• Act as a System Integrator, coordinating deliverables across distributed engineering and AI teams
• Develop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration
• Design APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)
• Drive architecture decisions balancing scalability, performance, and security
• Collaborate with product managers, clients, and data teams to translate business use cases into production-ready systems
• Mentor junior engineers and evolve into a broader leadership role as the team grows

Ideal Candidate Profile

Experience Requirements

• 5+ years in full-stack development (Python backend + React/JavaScript frontend)
• Strong experience in API and microservice integration
• 2+ years leading technical teams and coordinating distributed engineering efforts
• 1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)
• Prior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions

Technical Expertise

• Designing and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration
• Ensuring backend and AI systems are scalable, reliable, observable, and secure
• Familiarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)
• Experience building production-grade AI systems within enterprise SaaS ecosystems