Senior Software Engineer

About the Role :

1WRK by ANSR is hiring a Senior Software Engineer to design and build core parts of our platform. You'll work primarily in Python, think AI-first about how you build software, and take real ownership of the modules you design from system design through to a secure, scalable, cost-efficient deployment on AWS.

What You'll Do :

- Feature & module ownership : Design, build, and own delivery of features and backend modules end-to-end, from technical design through deployment and monitoring.

- AI-first delivery : Use AI tools and agents to speed up your own development workflow, and look for opportunities to bring AI/LLM capabilities into the product.

- System design participation : Contribute to system design discussions for your area, reasoning clearly about scaling, reliability, and cost trade-offs.

- Secure, quality code : Write secure, well-tested, well-documented code, following secure SDLC practices and participating actively in code reviews.

- Data & events : Work confidently with relational/NoSQL databases and event-driven components (queues, pub/sub, streaming) as part of the systems you build.

- AWS deployment : Get your services deployed and running reliably on AWS, using standard CI/CD pipelines.

- Mentorship : Mentor junior engineers through code review and pairing, and raise the bar for engineering quality on your team.

- Cross-functional collaboration : Work closely with product, design, and other engineers to turn requirements into well-scoped, buildable technical plans.

What We're Looking For :

- 4 - 7 years of backend/software engineering experience, with a track record of independently owning and shipping production features or services.

- AI-first engineering mindset : Comfortable using AI tools and agents day-to-day to speed up coding, testing, and documentation, and curious about where AI/LLM capabilities can be embedded into the product.

- Backend engineering, Python-first : Solid backend engineering skills in any modern stack, with hands-on experience and a willingness to work primarily in Python frameworks (e.g., Django, FastAPI, Flask).

- Data structures & algorithms : Strong command of data structures and algorithms, and the ability to reason about time/space complexity when designing a solution.

- System design : Working understanding of system design fundamentals - able to design a well-structured service or module and reason about its scaling limits, with guidance on the hardest trade-offs.

- Secure SDLC : Understanding of secure software development lifecycle practices - secure coding, dependency scanning, and building security checks into your normal development workflow.

- Advanced analytical & out-of-the-box thinking : Strong analytical and debugging skills, with a track record of proposing creative solutions rather than just the first workable one.

- Databases : Fair understanding of relational and NoSQL databases - schema design, indexing, and writing efficient queries.

- Event-driven systems : Exposure to event-driven architectures - queues, pub/sub, or streaming systems - and an understanding of the challenges they introduce.

- Scale & cost optimization : An instinct for writing code and designing modules that are efficient, mindful of cost, and built to scale rather than just to pass a demo.

- AWS deployment : Hands-on experience deploying and running services on AWS (e.g., EC2, ECS/EKS, Lambda, S3, RDS/DynamoDB) and comfort with standard CI/CD pipelines.

- Strong software engineering fundamentals - clean, testable, well-documented code, and disciplined use of version control and code review.

- A genuine ownership mindset : you see problems through to resolution, in production, not just to a passing test.

- Debugging and observability instincts : comfortable using logs, metrics, and tracing to root-cause issues under pressure.

- Strong written and verbal communication - able to document decisions clearly and explain trade-offs to both engineers and non-technical stakeholders.

- A learning mindset - you pick up new tools, frameworks, and AI capabilities quickly and share what you learn.

- Collaboration across functions - comfortable working closely with product, design, and other engineering teams.

Nice to Have :

- Experience in SaaS, HR-tech, or global workforce/EOR platforms.

- Exposure to building or consuming LLM-based features.

- Experience with infrastructure-as-code or CI/CD pipeline design.

- Familiarity with observability tooling (e.g., CloudWatch, Datadog, Grafana).

What Success Looks Like :

- Features and modules you build are reliable, secure, and perform well under real production load.

- Your code and design reviews consistently raise the quality bar for the team.

- You can take an ambiguous requirement and turn it into a well-scoped, shippable technical plan with minimal guidance.

Why Join 1WRK by ANSR :

You'll have real ownership of hard technical problems, the room to make lasting architectural decisions, and a direct line to product and business impact.