Associate Engineering manager

Job Title: Engineering Manager

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Role Overview

As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.

Key Responsibilities

1. People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
2. Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
3. System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
4.  Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
5. Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.

Required Skills & Qualifications

1. Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
2. Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
3. Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
4.  Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
5.  Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.

Learn more about us at: https://timbleglance.com

Key Responsibilities

• Lead and manage the software development function, including developers, technical leads, architects, and QA engineers.
• Define and execute the software development roadmap in alignment with the company's business strategy and growth objectives.
• Oversee the design, development, testing, deployment, and maintenance of scalable, secure, and high-performance software applications.
• Lead the development and enhancement of fintech platforms, financial applications, payment solutions, and digital financial products, as applicable.
• Drive API development, third-party integrations, banking integrations, payment gateway integrations, and other financial technology integrations.
• Establish software architecture standards, coding practices, development methodologies, and engineering best practices.
• Ensure application security, data protection, system reliability, scalability, and performance across software platforms.
• Drive the adoption of modern technologies, cloud-based solutions, DevOps practices, automation, and CI/CD pipelines.
• Oversee software development life cycles, sprint planning, release management, quality assurance, and production support.
• Establish engineering KPIs, monitor team performance, and ensure timely delivery of high-quality software solutions.
• Collaborate with Product, Business, Compliance, Information Security, and Operations teams to translate business requirements into effective technology solutions.
• Ensure software development processes adhere to applicable regulatory requirements, security standards, internal policies, and IT governance practices.
• Manage technology budgets, external development partners, software vendors, and resource allocation.
• Mentor and develop engineering leaders, build a high-performing technology team, and foster a culture of innovation, accountability, and continuous improvement.
• Identify opportunities for process optimization, technical debt reduction, and improvement in software delivery efficiency.

Required Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.
• 15–20+ years of experience in software development, engineering, and technology delivery, with approximately 20 years preferred.
• Significant experience in leading software development teams and managing large-scale application development initiatives.
• Strong expertise in software architecture, system design, API development, databases, microservices, and distributed systems.
• Experience with modern programming languages, frameworks, cloud platforms, DevOps, CI/CD, and software engineering tools.
• Proven experience in developing scalable, secure, and high-availability applications.
• Experience in fintech, banking, payments, digital lending, financial services, or related technology domains is preferred.
• Understanding of financial data security, application security, regulatory compliance, and secure software development practices.
• Demonstrated ability to manage multiple projects, engineering teams, delivery timelines, and technology priorities.
• Excellent leadership, strategic planning, analytical, stakeholder management, and communication skills.

Work Location: In person

Job Title: DevOps Manager

Experience: 8+ Years

Location: Pune

Employment Type: Full-time

About the Role

We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.

Key Responsibilities

• Lead and mentor the DevOps engineering team.

• Design, implement, and optimize CI/CD pipelines and deployment processes.

• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.

• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.

• Manage Docker and Kubernetes based environments.

• Develop and maintain automation scripts using Shell/Bash Scripting and Python.

• Implement monitoring, logging, alerting, and observability.

• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.

• Drive infrastructure security, performance, scalability, and cloud cost optimization.

• Collaborate with Development, QA, Security, Architecture, and Delivery teams.

Required Skills & Qualifications

• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.

• Strong hands-on experience in Shell / Bash Scripting.

• Experience with AWS / Azure / GCP cloud platforms.

• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.

• Hands-on experience with Docker, Kubernetes, and Helm.

• Strong experience with Terraform and Ansible.

• Experience with Linux administration, Git, networking, IAM, and cloud security.

• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.

• Strong troubleshooting, communication, stakeholder management, and team leadership skills.

Preferred Skills (Nice to Have)

• Python scripting experience.

• Cloud / Kubernetes / Terraform certifications.

• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.

Senior Technical Manager

Primary objective: Own engineering teams, architecture, delivery governance and successful execution of product and AI initiatives across DocTutorials.

Location

Hyderabad / Chennai

Employment

Full-time

Experience

10+ years

Role Summary

The Senior Technical Manager combines technical leadership, people management, product delivery and project execution. The role is accountable for team outcomes, engineering quality, timelines, production stability and the disciplined delivery of AI projects.

Key Responsibilities

1. Technology and Architecture Leadership

·       Provide direction for Python FastAPI, React/Next.js, data, cloud and AI architectures.

·       Review solution designs for security, scalability, maintainability, performance and cost.

·       Define engineering standards and resolve complex cross-team technical risks.

·       Remain technically hands-on through architecture reviews, critical code reviews and incident debugging.

2. People and Delivery Management

·       Lead, mentor and develop engineering teams with clear goals and accountability.

·       Own estimation, capacity, execution, dependencies, risks, releases and delivery recovery plans.

·       Conduct regular one-to-ones, performance reviews, coaching and skill-development planning.

·       Work with Product, QA, DevOps and stakeholders to deliver measurable product outcomes.

3. AI Project Execution

·       Assess AI use cases for feasibility, data readiness, risk, cost and measurable value.

·       Lead delivery of LLM, RAG, agentic and AI-assisted product initiatives from PoC to production.

·       Ensure evaluation, human validation, security, privacy, observability and rollback controls.

·       Prevent isolated demos, uncontrolled AI usage and dependency on individual engineers or vendors.

Required Skills and Experience

·       10+ years in software engineering with significant technical and people leadership experience.

·       Strong understanding of Python/FastAPI, React/Next.js, APIs, databases, cloud and distributed systems.

·       Proven ownership of product delivery, project planning, risk management and production operations.

·       Experience hiring, mentoring, evaluating and developing engineering teams.

·       Strong knowledge and execution experience across AI/ML, LLM, RAG or agentic-AI projects.

·       Practical understanding of Generative AI, LLMs, RAG, Agentic AI and responsible AI use relevant to the role.

·       Ability to use approved AI tools productively while protecting source code, credentials, learner data and organisational information.

·       Commitment to human review, testing, security validation and traceability for AI-assisted outputs.

Good-to-Have Experience

·       EdTech or medical-learning product experience.

·       AWS, Kubernetes, DevSecOps, MLOps or LLMOps.

·       Experience scaling teams and platforms through major transformation.

How Success Will Be Measured

·       Delivery becomes predictable with risks identified early.

·       Engineering quality, security and production stability improve.

·       AI projects progress from validated use cases to reliable production outcomes.

·       Team capability, ownership, engagement and succession strength increase.

·       Work consistently delivers measurable outcomes and business value—not merely completion of assigned tasks or activities.

Expected mindset: Own the outcome, use AI responsibly, communicate risks early and deliver secure, measurable value for DocTutorials and its learners.

JOB REQUIREMENTS • 10+ years of experience in software development, with at least 5 years in as a Development Lead, Engineering Manager, or similar leadership role. • Strong hands-on technical background in backend/frontend/cloud technologies. • Understanding of cloud platforms (AWS/Azure/GCP) and microservices architecture. • Deep understanding of SDLC, Agile methodologies, version control, and DevOps practices, containers, CI/CD, and scalable architectures. • Excellent leadership, decision-making, and project management, problem solving skills. • Strong communication skills with the ability to present technical and business information clearly. • Ability to handle multiple projects and thrive in a fast-paced environment. • Strong ownership mindset with a focus on delivering high-quality outcomes. • Passion for mentoring, building teams, and improving engineering culture. JOB RESPONSIBILITIES Team Leadership & People Management • Lead, mentor, and manage the entire development team, including interns, junior developers, and senior engineers. • Conduct regular training sessions, knowledge-sharing meetings, and capability-building workshops. • Identify skill gaps and create growth plans for team members. • Manage performance reviews, provide feedback, and support career progression. • Create a culture of ownership, accountability, and high performance. Project & Delivery Management • Own the entire Software Development Life Cycle (SDLC) from planning to deployment. • Break down product requirements into sprint tasks and assign responsibilities. • Define and manage project deadlines, delivery milestones, and development roadmaps with the team. • Ensure timely delivery of high-quality features aligned with product goals. • Work closely with the CEO for project planning, updates, and escalations. • Ensure alignment between business needs and technical solutions. Technical Leadership • Provide architectural direction for scalable, secure, multi-tenant, multi-region systems. • Review code, ensure adherence to coding standards, and drive continuous improvements. • Evaluate and implement new technologies to keep the product stack modern and efficient. • Ensure best practices in security, performance, documentation, and DevOps pipelines. • Lead R&D initiatives for new features, tools, or tech stacks. Process & Quality Ownership • Implement and refine engineering processes, coding guidelines, and development workflows. • Ensure strict adherence to SDLC, secure development practices, and code review processes. • Introduce automation where possible (CI/CD, testing, deployment flows). • Drive continuous improvement in team productivity and software quality. • Conduct root-cause analysis and lead improvements to reduce bugs and downtime. Communication & Reporting • Act as the primary communication bridge between the CEO and development team. • Provide weekly project reports, progress updates, risk assessments, and performance insights. • Maintain transparency and clarity in project communication across the organization. Cross-Functional Collaboration • Work directly with the CEO, Product leadership, and other department heads. • Align technical decisions with business objectives and customer needs. • Support SOC, support teams, and clients for escalations when required. Working Days & Time: Monday to Friday – 10AM to 7PM. WHAT WE OFFER • Opportunities to learn and grow in a professional environment. • Exposure of International market • 5 days working • Friendly work environment • PF benefits • Employee Referral Bonus • Monthly Engagement Activities • Festival Celebrations • Leave Encashment  

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.

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.

Job Summary:

As a Senior Software Engineer, you will lead the design and development of core systems that drive JioStar's lifecycle engagement, personalized marketing automation (Martech), and strategic partnership integrations. You'll own large-scale, high-concurrency systems end-to-end—from real-time event tracking and reward engines to partner sync pipelines—operating with autonomy and shaping the technical architecture of our ecosystem. This role is ideal for engineers who excel at solving complex distributed data problems, building scalable backend services, and mentoring others toward engineering excellence.

About the Team

Our team sits at the intersection of user retention, growth, and ecosystem monetization. We build and scale the platforms that power automated engagement campaigns, and seamless integrations with external partners and brands.

Whether we are processing high-throughput event streams for real-time personalization, orchestrating complex cross-channel martech workflows, or managing high-availability transactional data stores, our engineering focus is on resilience, speed, and clean architecture. If you are passionate about building systems that directly impact millions of users' retention and engagement journeys, we'd love to talk.

Key responsibilities

• Design and build scalable, resilient microservices that power engagement triggers, and partner integrations.
• Own end-to-end delivery of complex backend projects, from technical design to deployment and monitoring
• Write high-quality, maintainable code, and ensure rigorous testing and fault tolerance
• Drive architectural decisions and influence long-term engineering strategy for the team
• Collaborate closely with Product Managers, Data Scientists, and cross-functional teams to translate business needs into tech solutions
• Take ownership of operational excellence, including performance tuning, incident response, and root cause analysis
• Mentor junior engineers, conduct technical deep dives and code reviews, and foster a culture of knowledge sharing

Skills and attributes for success:

• Proficiency in Java, Golang, or Python
• Experience designing and building distributed systems at scale
• Strong understanding of storage systems, query performance, and caching strategies
• specifically experience with Amazon DynamoDB (single-platform design, partition keys, GSIs) and relational stores.
• experience with distributed caching strategies and tools
• Hands-on experience with cloud platforms (AWS preferred), messaging systems (Kafka), CI/CD pipelines (Github Actions and Docker)
• Proven ability to work autonomously, prioritize tasks, and manage delivery timelines in fast-paced environments
• You are passionate about growing engineers and leading by example

Preferred education and experience:

Bachelors/Master's in computer science or a related field with 4–6 years of experience in backend development.

Director of Engineering (AI Solutions & Delivery)

About the Role

We are looking for a Director of Engineering to lead engineering execution and delivery across our enterprise AI solutions. This role combines strong engineering leadership with operational discipline, ensuring AI products move from technical design to production with predictable timelines, high quality, and reliable performance.

You will lead Engineering Managers and Tech Leads, oversee multiple engineering teams, and drive delivery excellence across AI-powered applications and platforms. The focus is on execution, technical quality, and organizational accountability, ensuring teams deliver scalable, production-ready AI systems without compromising reliability or engineering standards.

Key Responsibilities

1. Engineering Delivery & Execution

• Own engineering delivery schedules, translating product roadmaps into achievable sprint plans and release milestones.
• Establish measurable delivery targets, aiming for at least 85% on-time delivery across engineering teams.
• Identify and resolve cross-team dependencies, technical bottlenecks, and resource constraints before they affect delivery.
• Drive engineering process improvements across Agile development, CI/CD, automated testing, and release management.
• Monitor delivery metrics, sprint commitments, and release readiness to maintain predictable execution.

2. AI Quality, Evaluation & Governance

• Establish automated AI evaluation pipelines to measure hallucinations, relevance, groundedness, and contextual accuracy before production releases.
• Define quality benchmarks and evaluation criteria for LLM-powered applications and AI-driven workflows.
• Implement safety mechanisms, validation filters, circuit breakers, and human-in-the-loop fallbacks to manage unpredictable AI outputs.
• Oversee RAG pipelines, vector databases, data ingestion, and retrieval mechanisms to maintain accurate, reliable, and compliant context.
• Reduce production AI quality regressions through continuous evaluation, monitoring, and feedback loops.

3. Architecture, Scalability & Reliability

• Oversee the architecture of distributed systems and cloud-native applications to support scalability, availability, and performance.
• Drive reliability targets, including 99.9% uptime and low time-to-first-token (TTFT) latency for applicable AI applications.
• Partner with Staff and Principal Engineers to design resilient systems, including fallback mechanisms for model API failures, timeouts, and rate limits.
• Establish engineering standards for code reviews, observability, automated integration testing, and security compliance.
• Ensure production systems meet defined service-level objectives (SLOs) and performance benchmarks.

4. Engineering Leadership & Team Development

• Lead and develop Engineering Managers and Tech Leads, establishing clear ownership, accountability, and delivery expectations.
• Build a high-performance engineering culture focused on technical excellence, collaboration, and continuous improvement.
• Partner with Talent Acquisition to attract, assess, and hire strong software engineering and AI talent.
• Align engineering resources with business priorities, delivery commitments, and technical requirements.
• Address performance and execution challenges while maintaining team engagement and engineering quality.

Success Metrics: First 90 Days

First 30 Days

• Assess existing engineering workflows, delivery pipelines, and release processes.
• Establish baseline AI evaluation criteria and identify gaps in production quality.
• Take ownership of engineering delivery across teams and align expectations with Engineering Managers and Tech Leads.

First 60 Days

• Implement automated AI evaluation frameworks and establish measurable quality benchmarks.
• Improve cross-team coordination and resolve key delivery dependencies.
• Establish consistent sprint planning, release cadences, and delivery reporting.

First 90 Days

• Achieve at least 85% sprint commitment completion.
• Demonstrate measurable reductions in production AI quality regressions.
• Improve system reliability and stabilize latency against defined performance targets.
• Establish clear accountability and predictable delivery practices across engineering teams.

Qualifications & Requirements

• Experience: 14+ years in software engineering, including at least 5 years managing Engineering Managers or Tech Leads in enterprise or high-growth environments.
• AI/ML Expertise: Hands-on experience delivering AI-powered systems involving LLMs, RAG architectures, vector databases, prompt engineering, or model fine-tuning workflows.
• Engineering Delivery: Proven ability to lead multiple engineering teams and deliver complex technical initiatives from design through production launch.
• System Architecture: Experience with distributed systems, cloud-native backend infrastructure, and scalable APIs across AWS, GCP, or Azure.
• AI Quality & Reliability: Understanding of AI evaluation frameworks, production monitoring, hallucination mitigation, guardrails, and system reliability.
• Delivery Management: Strong experience with Agile methodologies, CI/CD, release planning, and engineering performance metrics.
• Leadership: Ability to establish accountability, manage competing priorities, and deliver against ambitious deadlines without compromising quality or team morale.

What Success Looks Like

The successful candidate will establish predictable engineering delivery, improve the quality and reliability of production AI systems, and build a culture of ownership across engineering teams. They will combine technical judgment with execution-focused leadership to ensure AI solutions are delivered on schedule, operate reliably, and meet enterprise expectations.

If you are passionate about building high-performing engineering teams and delivering enterprise-grade AI solutions at scale, we would like to hear from you.

 Manage engineering projects from requirements gathering and planning through development, testing, release, and closure.  Create project plans, timelines, milestones, dependencies, and delivery schedules.  Coordinate with Engineering Managers, Tech Leads, Software Engineers, QA, Product Managers, and other stakeholders.  Track project progress, identify delays and dependencies, and drive corrective actions.  Facilitate sprint planning, daily stand-ups, sprint reviews, retrospectives, and other project ceremonies where required.  Maintain project trackers, RAID logs, action items, and status reports.  Identify and proactively manage project risks, technical dependencies, resource constraints, and delivery issues.  Communicate project status, risks, dependencies, and key decisions to leadership and stakeholders.  Coordinate releases and ensure development, QA, deployment, and business teams are aligned.  Manage scope changes and assess their impact on timelines, resources, and deliverables.  Ensure engineering deliverables meet agreed requirements, timelines, and quality standards.  Work with technical teams to understand project dependencies and translate them into actionable project plans.  Help resolve cross-team blockers and facilitate effective communication between technical and business teams.  Monitor resource allocation and work with engineering leadership to address capacity constraints.  Drive continuous improvement in project delivery processes and engineering collaboration.