Senior Technical Lead (Product Releases & Engineering)

Posted 18 Days Ago
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Hyderabad, Telangana, IND
In-Office
500K-3M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Owns the end-to-end SaaS product release lifecycle across development, QA, UAT, production, and monitoring. Coordinates cross-functional engineering work, release readiness, Git workflows, deployments, incident response, hotfixes, rollback planning, and root-cause analysis. The role combines hands-on technical leadership with release coordination, production reliability, CI/CD improvement, technical risk management, code quality, and mentoring. It also supports adoption of AI technologies including LLMs, agents, RAG, and related frameworks.
Summary Generated by Built In

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟯𝟬 𝗟𝗣𝗔)

Experience: 5+ yrs

Location: Hyderabad, Telangana, India

Job Type: Full-time

We are looking for a mature, hands-on Senior Technical Lead – Product Releases & Engineering to bring structure, predictability, and ownership to the engineering and product release lifecycle.

The role sits at the intersection of Product, Delivery, Architecture, and Engineering, with primary responsibility for coordinating developers, features, integrations, and code changes into stable, high-quality SaaS releases.

This is neither a purely managerial position nor simply a senior developer role. The successful candidate will remain technically hands-on while taking ownership of release coordination, engineering discipline, technical delivery, production reliability, and continuous improvement.


RequirementsKEY RESPONSIBILITIES
  • Own and coordinate the complete product release lifecycle across Development, Test/QA, UAT, Production, and Monitoring.
  • Coordinate release scope with Product and Delivery teams, maintaining clear visibility of features, fixes, dependencies, and risks.
  • Conduct technical release-readiness checks and ensure development, code reviews, integration, and testing are completed before deployment.
  • Coordinate application, API, database, and configuration changes across environments.
  • Manage Git branching, release branches, versioning, merges, hotfixes, and production fixes.
  • Coordinate deployments across Dev, Test, UAT, and Production environments.
  • Support UAT issue resolution and provide technical Go/No-Go recommendations for releases.
  • Ensure rollback, recovery, and production support procedures are clearly defined and understood.
  • Validate production releases and coordinate post-release monitoring and issue resolution.
  • Maintain visibility of engineering progress and dependencies across frontend, backend, databases, and integrations.
  • Identify blockers and technical risks early and drive them towards resolution.
  • Coordinate cross-functional development work where features span multiple components or services.
  • Strengthen pull-request, code-review, Git, branching, merge, and version-control practices.
  • Establish and maintain release-readiness criteria and Definition of Done standards.
  • Improve automated build, testing, deployment, code-coverage, and CI/CD practices.
  • Strengthen environment management, logging, monitoring, documentation, incident management, and RCA processes.
  • Manage technical debt and promote secure and maintainable development practices.
  • Lead production incident response, assess severity and impact, and coordinate engineering teams during investigations.
  • Manage hotfixes and emergency releases while maintaining appropriate technical and communication controls.
  • Conduct root-cause reviews and ensure preventative actions are implemented.
  • Review code and technical implementations, challenge design decisions where appropriate, and provide hands-on technical guidance.
  • Drive continuous improvement in engineering processes, release reliability, and production operations.
  • Support adoption of AI technologies such as LLMs, agents, RAG, MCP, LangGraph/LangChain, OpenAI, Claude, or Gemini where relevant.
WHAT MAKES YOU A GREAT FIT
  • 5+ years of software engineering experience with meaningful technical leadership responsibility in a production SaaS environment.
  • Proven experience personally owning or leading software releases across Dev, Test, UAT, and Productionenvironments.
  • Strong hands-on expertise with Google Cloud Platform (GCP) for deployment, operations, monitoring, and production troubleshooting.
  • Strong experience with GitHub, including repository management, pull requests, branching strategies, merge management, permissions, and code reviews.
  • Hands-on experience with GitHub Actions and CI/CD automation.
  • Strong understanding of release management, deployment processes, release readiness, versioning, and code consolidation.
  • Strong programming experience with React/React.js, Python, REST APIs, backend services, and relational databases such as MySQL.
  • Experience troubleshooting production SaaS applications and resolving complex technical issues.
  • Strong understanding of automated testing, code quality, logging, monitoring, incident management, and root-cause analysis.
  • Experience coordinating engineers across frontend, backend, database, and integration workstreams.
  • Proven ability to work effectively with Product Owners, Technical Architects, Delivery Managers, QA, and engineering teams.
  • Strong technical judgement with the ability to decide when to proceed, challenge an approach, or escalate a risk.
  • Strong ownership mindset with the ability to drive outcomes rather than simply coordinate activities.
  • Excellent organisation and communication skills, particularly during releases, incidents, and high-pressure situations.
  • Ability to guide and mentor developers without micromanaging.
  • Strong quality mindset with the ability to balance delivery speed, reliability, security, and maintainability.
  • Experience in AI applications, LLMs, AI agents, RAG, MCP, LangGraph, LangChain, OpenAI, Claude, or Gemini is an advantage.
  • Comfortable working in a fast-paced SaaS environment with evolving priorities and multiple technical dependencies.

Skills Required

  • 5+ years of software engineering experience with meaningful technical leadership responsibility in a production SaaS environment
  • Experience owning or leading software releases across Development, Test, UAT, and Production environments
  • Hands-on expertise with Google Cloud Platform for deployment, operations, monitoring, and production troubleshooting
  • Strong experience with GitHub, including repository management, pull requests, branching, merging, permissions, and code reviews
  • Hands-on experience with GitHub Actions and CI/CD automation
  • Understanding of release management, deployment processes, release readiness, versioning, and code consolidation
  • Strong programming experience with React or React.js, Python, REST APIs, backend services, and relational databases such as MySQL
  • Experience troubleshooting production SaaS applications and resolving complex technical issues
  • Understanding of automated testing, code quality, logging, monitoring, incident management, and root-cause analysis
  • Experience coordinating engineers across frontend, backend, database, and integration workstreams
  • Ability to work effectively with Product Owners, Technical Architects, Delivery Managers, QA, and engineering teams
  • Strong technical judgment and ability to make release decisions, challenge approaches, and escalate risks
  • Strong ownership, organization, communication, quality, and problem-solving skills
  • Ability to guide and mentor developers without micromanaging
  • Experience in AI applications, LLMs, AI agents, RAG, MCP, LangGraph, LangChain, OpenAI, Claude, or Gemini
  • Comfort working in a fast-paced SaaS environment with evolving priorities and multiple technical dependencies
Am I A Good Fit?
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The Company
HQ: Stockholm
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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