HYDERABAD · FULLTIME
Principal Lead Developer
TechnoIdentity
Hyderabad · onsite · Posted 29d ago
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Section · 01
About this role
What s in it for You
Requirements
- 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
- 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:
- 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:
- 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.
- 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.
- 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.
- 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.
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Section · Company
About TechnoIdentity
TechnoIdentity
Software Product
51
employees
Hyderabad / Secunderabad, Telangana
India
₹10.7L PA avg
Avg at TechnoIdentity
About
About Technoidentity:
Founded a decade ago, weve grown from a small team into a leading global software
consultancy. With our roots in custom systems delivered through agile methodology, we are
leading and defining technologies. Organic growth is what we continue to believe in. We
have developed an integrated approach to solve challenges by building on our engineering
and strategy capabilities. People are at the heart of the organization and drive collaboration
to deliver results fast.
TechnoIdentity accelerates time-to-market with agile product engineering and automation,
delivers scalable, resilient cloud-native architectures that reduce downtime, and lowers total
cost of ownership through modernization and DevOps. We embed security and regulatory
compliance across the stack, convert data into real-time insights and AI-driven automation
for better decisions, and create engaging mobile and IoT experiences that increase retention
and revenue. Our end-to-end, outcome-focused partnerships align delivery to measurable
KPIs so customers see faster innovation, higher uptime, and sustained business impact.
At Technoidentity, we cultivate a culture of continuous learning and growth, which has enabled us to embrace industry changes, remain at the forefront of technological advancements and deliver excellence to our partners. Our forte lies in accelerated web and mobile development through a synergy of our proprietary low-code React library "Dev- Fractal and expert engineering team. We are currently engaged in developing an adaptable LLM platform, that enables the creation of fully customizable generative AI products,
adaptable to diverse needs ranging from customer engagement, HR, business intelligence, education to government administration. Our AI solutions are tailored to suit the unique
business, domain, and cultural requirements of the organizations. TechnoIdentity believe that technology and innovation could be the true differentiators in improving the world. Our driving force has been the pursuit of social justice, particularly in the realms of education
and healthcare, using the transformative power of innovative technology. Technoidentity embody these values, firmly believing that by harnessing the potential of cutting-edge
solutions, we can create a more equitable world for all.
Industries
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Culture
4.7
Career growth
3.8
Work-life
4.6
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