Remote senior software engineering tech lead manager jobs

At Turing, leading US firms are looking for senior software engineering tech lead managers who can effortlessly manage people and projects. This position requires a candidate who follows a result-oriented approach to drive excellence in the organization and collaborate with cross-functional teams. A person with excellent communication and persuasion skills will be a perfect fit for this role.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Identify opportunities for higher product quality & engineering efficiency
  • Knowledge of the latest technology and trends to enhance engineering systems
  • Ability to solve complex problems and manage bottlenecks to convey information
  • Provide mentorship, guidance to the team members and influence technical directions
  • Help recruiting teams in hiring engineers/managers
  • Collaborate with tech lead/manager & provide suggestions for future projects

Minimum requirements

  • Bachelor’s/Master’s degree/Ph.D./Post Doctorate in computer science
  • 4+ years of experience as a tech lead/software architect
  • 4+ years of experience as an engineering leader
  • Proficiency in technologies like React, Node.js, Python, JS, React Native, PHP, etc.
  • Understanding of technology stacks such as Front-end, Back-end, Full-stack, etc.
  • Skilled at computational problem solving, designing, coding, debugging, etc

Preferred skills

  • Skilled in complex code bases, large systems, & version control systems like Git
  • Knowledge of data structures, algorithms, and system design
  • Skills to lead, motivate and influence team members across the organization
  • Understanding of business requirements & goals to make high-level decisions
  • Effective communication, interpersonal, and collaboration skills
  • The ability to work full-time (40 hours/week) and a 4 hour overlap with US time zones

Interested in this job?

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How to become a senior software engineering tech lead manager ?

A senior software engineering tech lead manager is a management job entrusted with overseeing and managing the work of other software engineers on projects including, the design and development of software, programs, and applications.

The manager is responsible for creating and sticking to a timeline and budget, resolving any issues that arise, creating an efficient but healthy work environment, developing project plans, participating in software programming, working with those in higher positions, and explaining work to them and potential customers, and mentoring new employees.

Software engineering tech lead managers are in charge of working on projects that their firm is currently working on. They oversee software programming projects while developing and guiding software system validation and testing methodologies. They also supervise the creation of documentation and conduct data analysis to efficiently coordinate the installation of new systems or the modification of existing ones.

What is the scope of becoming a senior software engineering tech lead manager?

In every enterprise-level software development organization, a senior software tech lead manager job is critical. A skilled, creative technical lead manager can oversee the company's technical staff and effectively complete the software development and product launch. As a result, every top software firm that wishes to efficiently deploy, develop, and automate software development operations must recruit the greatest senior software engineering tech lead managers.

In 2022, the field will increase at around half the rate of most other occupations. According to the Bureau of Labor Statistics (BLS), the area of an engineering manager is predicted to rise 4% by 2030. If you start as a software developer or engineer now, your career may eventually lead to leadership positions.

Most senior software engineering tech lead managers also find a way to climb the hierarchy and become the Head of Engineering or the Chief Technical Officer (CTO).

What are the roles and responsibilities of senior software engineering tech lead managers?

Software engineering managers are responsible for a wide variety of tasks and have a significant influence on enterprises. Software engineering managers are well compensated for their exceptional project management abilities and the critical role they play in software development teams. Here are a few of the responsibilities for becoming a senior software engineering tech lead manager:

  • Establish software solution needs, consult with management and software engineers
  • Preparing required technical proposal pertinent to software engineering
  • Supervise reporting responsibility for independent software contractors, software engineers, and outsourcing partners
  • Support to recruit engineering personnel, technical staffing, and project teams formation
  • Administer support for business development, Systems Engineering, and SR technical personnel
  • Supervise training and development of software engineering staff
  • Keeping abreast of new software technologies, as well as conforming to best practices in cybersecurity
  • Managing the development, deployment, and integration of software solutions

How to become a senior software engineering tech lead manager?

When it comes to learning how to become a senior software engineering tech lead manager, picking the correct major is crucial. The most prevalent majors for senior software engineering tech lead managers earned at least a bachelor's or master's degree. Associate degrees and doctoral degrees are two more degrees that are frequently found on senior software engineering tech lead managers' resumes.

You could discover that previous work experience will assist you in becoming a senior manager. However, you should have substantial expertise as a senior software manager and a mentor of junior software engineers to succeed in their roles. Top-tier senior software managers drive software innovation. Many senior software engineering tech lead managers need prior expertise as software engineering tech leads.

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Skills required to become a senior software engineering tech lead manager

1. Software development

The process through which programmers generate computer programs is known as software development.
The Software Development Life Cycle (SDLC) is a methodology for creating software that meets technology and customer demands.
It is divided into many phases. SDLC offers an international standard for software developers to adopt while improving and developing their systems. It gives software developers a well-defined framework to follow for creating, maintaining, and designing high-quality software. The goal of the software development process is to provide high-quality software in a timely and cost-effective manner.

2. Database

A database is a collection of data and information that can be seen, accessed, and managed with ease. Databases may save a lot of time and hold a lot of information. Databases make it easy to categorize data and store it in specific fields, narrowing the search criteria. To show data, a database generally incorporates tables, graphs, and columns.

3. Linux

Linux is an operating system that is similar to Unix. Linux, like Windows, Mac OS, and iOS, is a popular operating system used by millions of people all over the world. The Android operating system is based on the Linux operating system. Linux is in charge of managing all of your computer's hardware resources. The program is well-known for its protection against malware infections and other intrusions. The Linux operating system is completely free and open-source software, which means it may be modified by anybody who knows how to code.

4. Product development

Product development refers to the entire process of generating a product, from concept to ultimate release.
After numerous stages of product development, a product is introduced into the market. The stages of product development include identifying a need, establishing an opportunity, conceiving a product, and offering a solution.

5. Career development

Career development is a phrase that refers to the process and concept of advancing one's career or shifting its trajectory using a variety of techniques and approaches. A career development plan can be tailored to the person and may consist of nothing more than continuing to do the same job in the same firm while progressing forward in terms of positions and compensation. It might also be a completely different strategy, such as leaving the position, the firm, and perhaps the industry as a whole and finding work elsewhere.

6. Project management

That's a lot to expect of any one person, even with the best project management tools, but Senior software managers have a wide range of abilities to get the job done. These include the expected technical, business, and managerial talents, as well as a variety of soft skills. Managers must deal with more than just systems and processes; they must also deal with people. Good team management is all about establishing and keeping solid connections across the board.

Interested in remote senior software engineering tech lead manager jobs?

Become a Turing developer!

Apply now

How to get remote senior software engineering tech lead managers jobs?

Becoming a developer is highly rewarding. However, one needs to have a thorough understanding of the programming languages. It is recommended to practice till you get it perfect. Moreover, having a vision of the product is also essential to be in sync with the team. Good communication skills help to collaborate with team members and prioritize work as per the long-term plan.

To help your search for finding a remote senior software engineering tech lead manager job, Turing has made things a little easier for you. Turing offers the best remote engineering jobs that suit your career growth as a senior software engineering tech lead manager. Join a network of the world's best developers & get full-time, long-term remote tech lead managers with better compensation and career growth.

Why become a senior software engineering tech lead manager at Turing?

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Join a worldwide community of elite software developers.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their senior software engineering tech lead managers?

Turing helps you suggest a salary range that allows you to settle for a fruitful and long-term opportunity. Most of our recommendations are an assessment of market conditions and the demand set by our clients. However, at Turing, we believe in flexibility. Thus, every senior software engineering tech lead manager is eligible to fix their salary range as per their skills and expertise.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

View more FAQs

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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Senior Fullstack Engineer - Backend Heavy

Job Overview

We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust  full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.

Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
●  Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
●  Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
●  Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
●  Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
●  Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
●  Write clean, maintainable, and testable code, adhering to best practices and coding standards.
●  Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
●  Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
●  Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
●  5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
●  Expertise in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
●  Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).  
●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
●  Knowledge of frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with frontend teams.
●  Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.


Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork


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11-50 employees
DjangoFlaskFastAPI+ 5
briefcase
Senior Fullstack Engineer - Frontend Heavy

Job Overview We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust  full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.  

Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
●  Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
●  Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
●  Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
●  Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
●  Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
●  Write clean, maintainable, and testable code, adhering to best practices and coding standards.
●  Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
●  Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
●  Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
●  5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
●  Familiarity in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
●  Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).
●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
●  Expertise in  frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with backend teams.
●  Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.

Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.  

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
-
11-50 employees
ReactVue.jsAngular+ 5
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