Senior Software Engineer (Backend Engineering) ⭐

Our Data Intelligence team builds backend services that turn data from our SaaS platform into high-value, actionable insights for our customers. We’re transforming the way data is used at Achievers, delivering high-impact, intelligent services that redefine how work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our users, and we're solving real engineering problems at scale.

Note: this is not a Data Engineering position 

Why you'll love this role:

• Lead high-impact initiatives that shape how millions of people experience work around the world.


• Bring your unique perspective to complex and challenging projects - apply your expertise in architecture, influence technical direction, and mentor fellow team members.


• Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.


• Work alongside an experienced leadership team who is genuinely invested in your career growth.


• Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.

How you'll shape Data Intelligence at Achievers:

• Design, develop, and maintain backend services that support reporting, analytics, data export, and data-driven product features 


• Collaborate closely with product, data, and engineering teams to deliver actionable insights and AI-powered features that enhance user experience and decision-making 


• Design and implement well-structured APIs to integrate with internal and external BI tools (e.g., Looker, Tableau, Power BI) 


• Apply strong data modeling and transformation techniques to support dimensional analytics and interactive visualizations 


• Ensure data quality, governance, privacy, and compliance standards are met across all systems 


• Participate in code reviews, technical design discussions, and architecture planning 


• Provide mentorship and technical guidance to junior engineers 


• Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency 


• Contribute to agile development cycles, including sprint planning, estimation, and retrospectives 

Experience we feel will set you up for success:

• Bachelor’s or Master’s degree in Computer Science or a related field 


• 5+ years of backend software engineering experience in enterprise environments, with a focus on reporting, analytics, and data-driven features such as data export and insights 


• Expertise in Systems Design with proven ability to design complex, distributed systems at scale, with attention to performance, scalability, and fault tolerance


• Strong understanding of analytics fundamentals, including dimensional data modeling, data transformation, and data visualization best practices 


• Experience with cloud platforms (GCP, AWS, or Azure) and cloud-based data warehousing (preferably Google BigQuery) 


• Proficient in server-side programming languages such as Python, PHP, or Go 


• Solid experience with relational and NoSQL databases (e.g., MySQL, MongoDB), including schema design, data modeling, and performance tuning 


• Familiarity with streaming or near real-time data ingestion technologies (e.g., Kafka, Pub/Sub) 


• Strong understanding of RESTful API design and integration with BI and analytics tools (e.g., Looker, Tableau, Power BI) 


• Proficient with data serialization formats such as JSON, CSV 


• Knowledge of data privacy, security, and governance best practices 


• Experience with agile software development methodologies (e.g., Scrum, Kanban) 


• Ability to lead technical discussions, mentor junior engineers, and collaborate effectively with cross-functional teams 


• Strong analytical and problem-solving skills with attention to detail and code quality 


• Proactive in exploring and adopting new technologies, frameworks, and APIs 


• Excellent verbal and written communication skills in English 


• Experience integrating applications with AI/ML systems is a plus 

Why Achievers is a Great Place to Work ™

At Achievers, we believe recognition is a powerful driver of connection. With more than 4.3 million users across 190 countries, our employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. We’re a team of passionate, thoughtful builders who care deeply about our product, our customers, and each other. Visit achievers.com to see how we’re inspiring recognition everywhere.

Our Approach to Total Rewards

$117,000 - $167,000 reflects the salary range for this role, depending on experience, skills, and market data. We’re committed to providing a fair and competitive offer based on what you bring to the team. Each A-Players' compensation is reviewed at least annually against performance and impact in role. We want you to see your path to growth, understand your impact, and feel valued every step of the way.

Benefits and Perk s for permanent full-time employees: 

✨ Rewards for your impact through our Recognition and Rewards program 

Health Benefits and Life Insurance Coverage beginning on your first day 

Parental Leave Top-up 

Employer matched RRSP contributions 

️ Flexible Vacation to recharge, so you can bring your best

Employee and Family Assistance Program offering mental health, legal, and financial counselling

Supported professional development and career growth (Linkedin Learning, mentorship)

Employee-Led Employee Resource Groups that celebrate our diversity 

‍♀️ Regular events designed to build connection, belonging, and well-being

Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office 

Achievers is proud to be an equal opportunity employer committed to building a diverse, inclusive workplace where everyone can do their best work. We encourage qualified candidates from all backgrounds and experiences to apply.

Achievers is committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We are happy to make necessary arrangements to support your needs.

We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools help our recruitment team but never replace decisions made by real people. We believe in a human-first approach to hiring, where your experience, personality, and potential are recognized by people, not algorithms, and where final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.